diff --git a/src/site/markdown/documentation/reference.guide.md b/src/site/markdown/documentation/reference.guide.md index 9e1823913..5abe9f373 100755 --- a/src/site/markdown/documentation/reference.guide.md +++ b/src/site/markdown/documentation/reference.guide.md @@ -4,7 +4,7 @@ Version | HTML (single page) | Chunked HTML | PDF --------|--------------------|--------------|---- -1.4.0-SNAPSHOT | [HTML (single page)](../reference-guides/1.4.0/html-single/index.html) | [Chunked HTML](../reference-guides/1.4.0/html/index.html) | [PDF](../reference-guides/1.4.0/castor-reference-guide.pdf) +1.4.0 | [HTML (single page)](../reference-guides/1.4.0/html-single/index.html) | [Chunked HTML](../reference-guides/1.4.0/html/index.html) | [PDF](../reference-guides/1.4.0/castor-reference-guide.pdf) ### Previous releases diff --git a/src/site/resources/reference-guides/1.4.0/castor-reference-guide.pdf b/src/site/resources/reference-guides/1.4.0/castor-reference-guide.pdf old mode 100755 new mode 100644 index 28bb255dd..2d7dd976e Binary files a/src/site/resources/reference-guides/1.4.0/castor-reference-guide.pdf and b/src/site/resources/reference-guides/1.4.0/castor-reference-guide.pdf differ diff --git a/src/site/resources/reference-guides/1.4.0/html-single/Spring ORM integration.html b/src/site/resources/reference-guides/1.4.0/html-single/Spring ORM integration.html deleted file mode 100755 index 95ba555f7..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/Spring ORM integration.html +++ /dev/null @@ -1,637 +0,0 @@ - - - Chapter 5. Castor JDO - Integration with Spring ORM

Chapter 5. Castor JDO - Integration with Spring ORM

5.1. Usage

5.1.1. Getting started using Maven 2

- In order to start using the Spring ORM module for Castor JDO, you will - have to have Maven 2 installed: -

- As this project uses Maven 2 for build and deployment, all required - compile-time and run-time dependencies will automatically be resolved - by Maven 2 and deployed into your local Maven 2 repository. -

5.1.2. Project dependencies

- Please add the following Maven dependency to your POM to include the - Spring ORM package for Castor JDO - with your project: -

-<dependency>
-   <groupId>org.codehaus.castor</groupId>
-   <artifactId>spring-orm</artifactId>
-   <version>1.3</version>
-</dependency>
-      

- If you create a dependency against a SNAPSHOT release, you will - have to add the following <repository> element - to your POM as well, so that Maven 2 knows about the - Codehaus Snapshot repository when - trying to resolve and download dependencies. -

-<repository>
-    <id>codehaus-snapshots</id>
-    <name>Maven Codehaus Snapshots</name>
-    <url>http://snapshots.maven.codehaus.org/maven2/</url>
-</repository>
> - -

5.2. A high-level overview

- This guide assumes that you are an experienced Castor JDO users that knows how - to use Castor's interfaces and classes to interact with a database. If - this is not the case, please familiarize yourself with - Castor JDO first. -

5.2.1. Sample domain objects

- The sample domain objects used in here basically define a Catalogue, - which is a collection of Products. A possible castor JDO mapping could look - as follows:

-<class name="org.castor.sample.Catalogue">
-   <map-to table="catalogue"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="products" type="org.castor.sample.Product" collection="arraylist">
-      <sql many-key="c_id" />
-   </field>
-</class>
-
-<class name="org.castor.sample.Product">
-   <map-to table="product"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="description" type="string">
-      <sql name="desc" type="varchar" />
-   </field>
-</class>
-		

5.2.2. Using Castor JDO manually

- To e.g. load a given Catalogue instance as defined by its identity, - and all its associated Product instances, the following code could be used, - based upon the Castor-specific interfaces JDOManager and Database. -

-JDOManager.loadConfiguration("jdo-conf.xml");
-JDOManager jdoManager = JDOmanager.createInstance("sample");
-
-Database database = jdoManager.getDatabase();		
-database.begin();
-Catalogue catalogue = database.load(catalogue.class, new Long(1));
-database.commit();
-database.close();
-		

For brevity, exception handling has been omitted completely. But is is quite obvious - that - when using such code fragments to implement various methods of a DAO - - there's a lot of redundant code that needed to be written again and again - and exception - handling is adding some additional complexity here as well.

- Enters Spring ORM for Castor JDO, a small layer that allows usage of Castor JDO - through Spring ORM, with all the known benefits (exception conversion, templates, - tx handling). -

5.2.3. Using Castor JDO with Spring ORM - Without CastorTemplate

- Let's see how one might implement the loadProduct(int) of a - ProductDAO class with the help of Spring ORM using Castor - JDO: -

-public class ProductDaoImpl implements ProductDao {
-
-  private JDOManager jdoManager;
-
-  public void setJDOManager(JDOManager jdoManager) {
-    this.jdoManager = jdoManager;
-  }
-
-  public Product loadProduct(final int id) {
-    CastorTemplate tempate = new CastorTemplate(this.jdoManager);
-    return (Product) template.execute(
-        new CastorCallback() {
-          public Object doInJdo(Database database) throws PersistenceException {
-            return (Product) database.load(Product.class, new Integer (id));
-          }
-        });
-  }
-}
-		

- Still a lot of code to write, but compared to the above section, the DAO gets - passed a fully configured JDOManager instance through Spring's dependency - injection mechanism. All that's required is configuration of Castor's JDOManager - as a Spring bean definition in an Spring application context as - follows. -

-<bean id="jdoManager" class="org.castor.spring.orm.LocalCastorFactoryBean">
-  <property name="databaseName" value="test" />
-  <property name="configLocation" value="classpath:jdo-conf.xml" />
-</bean>
-
-<bean id="myProductDao" class="product.ProductDaoImpl">
-  <property name="JDOManager">
-    <ref bean="jdoManager"/>
-  </property>
-</bean>

5.2.4. Using Castor JDO with Spring ORM - With CastorTemplate

- Above code is still quite verbose, as it requires you to write short - (though complex) callback functions. To ease life of the Castor JDO - user even more, a range of template methods have been added to - CastorTemplate, allowing the implementation of - above ProductDAO to be shortened considerably. -

-public class ProductDaoImplUsingTemplate extends CastorTemplate implements ProductDao {
-
-  private JDOManager jdoManager;
-
-  public void setJDOManager(JDOManager jdoManager) {
-    this.jdoManager = jdoManager;
-  }
-
-  public Product loadProduct(final int id) {
-    return (Product) load(Integer.valueOf(id));
-  }
-  
-  ...
-}
-		

- Changing the bean definition for myProductDAO to ... -

-<bean id="myProductDao" class="product.ProductDaoImplUsingTemplate">
-  <property name="JDOManager">
-    <ref bean="myJdoManager"/>
-  </property>
-</bean>

- loading an instance of Product by its identifier - is reduced to ...

-ProductDao dao = (ProductDAO) context.getBean ("myProductDAO");
-Product product = dao.load(1);
-		

5.2.5. Using Castor JDO with Spring ORM - With CastorDaoSupport

- Alternatively to extending CastorTemplate, one could extend the - CastorDaoSupport class and implement the - ProductDAO as - follows. -

-public class ProductDaoImplUsingDaoSupport extends CastorDaoSupport implements ProductDao {
-
-  private JDOManager jdoManager;
-
-  public void setJDOManager(JDOManager jdoManager) {
-    this.jdoManager = jdoManager;
-  }
-
-  public Product loadProduct(final int id) {
-    return (Product) getCastorTemplate().load(Integer.valueOf(id));
-  }
-  
-  ...
-}
-		

- Changing the bean definition for myProductDAO to ... -

-<bean id="myProductDao" class="product.ProductDaoImplUsingDaoSupport">
-  <property name="JDOManager">
-    <ref bean="myJdoManager"/>
-  </property>
-</bean>

- the code to load an instance of Product still - is as shown above. -

5.3. Data access through Castor JDO with the Spring framework

We will start with a coverage of Hibernate in a Spring environment, using - it to demonstrate the approach that Spring takes towards integrating O/R - mappers. This section will cover many issues in detail and show different - variations of DAO implementations and transaction demarcations.

5.3.1. Resource management

Typical business applications are often cluttered with repetitive - resource management code. Many projects try to invent their own - solutions for this issue, sometimes sacrificing proper handling of - failures for programming convenience. Spring advocates strikingly - simple solutions for proper resource handling, namely IoC via - templating; for example infrastructure classes with callback - interfaces, or applying AOP interceptors. The infrastructure cares for - proper resource handling, and for appropriate conversion of specific API - exceptions to an unchecked infrastructure exception hierarchy. Spring introduces - a DAO exception hierarchy, applicable to any data access strategy. For - direct JDBC, the JdbcTemplate class mentioned in a previous section cares - for connection handling, and for proper conversion of SQLException to - the DataAccessException hierarchy, including translation of database-specific - SQL error codes to meaningful exception classes. It supports both JTA - and JDBC transactions, via respective Spring transaction managers.

This module implements Spring ORM/DAO support for Castor JDO, consisting of a - CastorTemplate analogous to JdbcTemplate, a CastorInterceptor, and a Castor - transaction manager. The major goal is to allow for clear application - layering, with any data access and transaction technology, and for - loose coupling of application objects. No more business service dependencies - on the data access or transaction strategy, no more hard-coded resource - lookups, no more hard-to-replace singletons, no more custom service - registries. One simple and consistent approach to wiring up application - objects, keeping them as reusable and free from container dependencies - as possible. All the individual data access features are usable on their - own but integrate nicely with Spring's application context concept, providing - XML-based configuration and cross-referencing of plain JavaBean instances - that don't need to be Spring-aware. In a typical Spring app, many important - objects are JavaBeans: data access templates, data access objects (that - use the templates), transaction managers, business services (that use - the data access objects and transaction managers), web view resolvers, web - controllers (that use the business services), and so on.

5.3.2. JDOManager setup in a Spring container

To avoid tying application objects to hard-coded resource lookups, - Spring allows you to define resources like a JDBC DataSource or a - Castor JDOManager as beans in an application context. Application objects - that need to access resources just receive references to such - pre-defined instances via bean references (the DAO definition in the - next section illustrates this). The following excerpt from an XML - application context definition shows how to set up a JDBC DataSource - and a Castor JDOManager on top of it:

-<beans>
-
-	<bean id="myDataSource"
-		class="org.apache.commons.dbcp.BasicDataSource"
-		destroy-method="close">
-		<property name="driverClassName" value="org.hsqldb.jdbcDriver" />
-		<property name="url" value="jdbc:hsqldb:hsql://localhost:9001" />
-		<property name="username" value="sa" />
-		<property name="password" value="" />
-	</bean>
-
-	<bean id="myJDOManager"
-		class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="test" />
-        <property name="configLocation" value="classpath:jdo-conf.xml" />
-	</bean>
-
-</beans>
-		

Note that switching from a local Jakarta Commons DBCP BasicDataSource - to a JNDI-located DataSource (usually managed by an application server) - is just a matter of configuration:

-<beans>
-
-	<bean id="myDataSource"
-		class="org.springframework.jndi.JndiObjectFactoryBean">
-		<property name="jndiName" value="java:comp/env/jdbc/myds" />
-	</bean>
-
-</beans>
-		

You can also access a JNDI-located SessionFactory, using Spring's - JndiObjectFactoryBean to retrieve and expose it. However, that is - typically not common outside of an EJB context.

5.3.3. The CastorTemplate

- The basic programming model for templating looks as follows, - for methods that can be part of any custom data access - object or business service. There are no restrictions on the - implementation of the surrounding object at all, it just - needs to provide a Castor JDOManager. It can get the - latter from anywhere, but preferably as bean reference from - a Spring application context - via a simple - setJDOManager(..) bean property setter. The following - snippets show a DAO definition in a Spring container, - referencing the above defined JDOManager, and an example - for a DAO method implementation. -

-<beans>
-
-	<bean id="myProductDao" class="org.exolab.castor.dao.ProductDaoImpl">
-	  <property name="JDOManager"><ref bean="jdoManager"/></property>
-	</bean>
-
-</beans>
-        
-public class ProductDaoImpl implements ProductDao {
-
-  private Castor castorTemplate;
-
-  public void setJDOManager(JDOManager jdoManager) {
-     this.castorTemplate = new CastorTemplate(jdoManager);
-  }
-
-  public Collection loadProductsByCategory(final String category) 
-     throws DataAccessException { 
-    return (Collection) this.castorTemplate.execute(
-       new CastorCallback() {
-          public Object doInCastor(Database database) throws PersistenceException {
-             database.begin();
-             OQLQuery query = database.getOQL("select p from org.exolab.castor.dao.ProductDao p " + 
-                " where p.category = ?");
-             query.bind(category);
-             QueryResults results = query.execute();
-             database.commit();
-             return Collections.list();
-          }
-    );
-  }
-}
-

A callback implementation can effectively be used for any Castor - data access. CastorTemplate will ensure that Database instances are - properly opened and closed, and automatically participate in - transactions. The template instances are thread-safe and reusable, they - can thus be kept as instance variables of the surrounding class.

For simple single step actions like a single find, load, saveOrUpdate, or - delete call, CastorTemplate offers alternative convenience methods - that can replace such one line callback implementations. Furthermore, - Spring provides a convenient CastorDaoSupport base class that - provides a setJDOManager(..) method for receiving a JDOManager, - and getJDOManager() and getCastorTemplate()for use by subclasses.

In combination, this allows for very simple DAO implementations for - typical requirements:

-public class ProductDaoImpl extends HibernateDaoSupport 
-   implements ProductDao {
-
-   public Collection loadProductsByCategory(String category) 
-      throws DataAccessException {
-      return this.getCastorTemplate().find("select p from
-test.Product product where p.category=?", category);
-   }
-}

5.3.4. Implementing Spring-based DAOs without callbacks

As alternative to using Spring's CastorTemplate to implement DAOs, - data access code can also be written in a more traditional fashion, - without wrapping the Hibernate access code in a callback, while still - complying to Spring's generic DataAccessException hierarchy. Spring's - CastorDaoSupport base class offers methods to access the current - transactional Database and to convert exceptions in such a scenario; - similar methods are also available as static helpers on the - JDOManagerUtils class. Note that such code will usually pass "false" - into the getDatabased(..) method's "allowCreate" argument, to enforce - running within a transaction (which avoids the need to close the - returned Database, as it's lifecycle is managed by the transaction).

-public class ProductDaoImpl extends HibernateDaoSupport 
-   implements ProductDao {
-
-   public Collection loadProductsByCategory(String category) 
-      throws DataAccessException, MyException {
-
-      Database database = getDatabase(getJDOManager(), false);
-      try {
-         List result = database.find( "select p from test.Product p where " + 
-            " product.category=?", category, Castor.STRING);
-         if (result == null) {
-            throw new MyException("invalid search result");
-         }
-         return result;
-      } catch (PersistenceException ex) {
-         throw convertCastorAccessException(ex);
-      }
-   }
-}
-        

The major advantage of such direct Castor JDO access code is that it - allows any checked application exception to be thrown within the data - access code, while CastorTemplate is restricted to unchecked - exceptions within the callback. Note that one can often defer the - corresponding checks and the throwing of application exceptions to after - the callback, which still allows working with CastorTemplate. In - general, the CastorTemplate class' convenience methods are simpler - and more convenient for many scenarios.

5.3.5. Programmatic transaction demarcation

Transactions can be demarcated in a higher level of the application, on - top of such lower-level data access services spanning any number of - operations. There are no restrictions on the implementation of the - surrounding business service here as well, it just needs a Spring - PlatformTransactionManager. Again, the latter can come from anywhere, - but preferably as bean reference via a setTransactionManager(..) method - - just like the productDAO should be set via a setProductDao(..) method.

The following snippets show a transaction manager and a business service - definition in a Spring application context, and an example for a - business method implementation.

-<beans>
-
-	<bean id="myTxManager"
-		class="org.castor.spring.orm.CastorTransactionManager">
-		<property name="jdoManager" ref="myJDOManager" />
-	</bean>
-
-	<bean id="myProductService" class="product.ProductServiceImpl">
-		<property name="transactionManager" ref="myTxManager" />
-		<property name="productDao" ref="myProductDao" />
-	</bean>
-
-</beans>
-        
-public class ProductServiceImpl implements ProductService {
-
-   private TransactionTemplate transactionTemplate; 
-   
-   private ProductDao productDao;
-
-   public void setTransactionManager(PlatformTransactionManager transactionManager) {
-      this.transactionTemplate = new TransactionTemplate(transactionManager);
-   }
-
-   public void setProductDao(ProductDao productDao) {
-      this.productDao = productDao;
-   }
-
-   public void increasePriceOfAllProductsInCategory(final String category) {
-      this.transactionTemplate.execute(
-         new TransactionCallbackWithoutResult() {
-            public void doInTransactionWithoutResult(TransactionStatus status) {
-               List productsToChange = productDAO.loadProductsByCategory(category); 
-               // do the price increase...
-            }
-         }
-      );
-   }
-}

5.3.6. Declarative transaction demarcation

Alternatively, one can use Spring's declarative transaction support, - which essentially enables you to replace explicit transaction - demarcation API calls in your Java code with an AOP transaction - interceptor configured in a Spring container. This allows you to keep - business services free of repetitive transaction demarcation code, and - allows you to focus on adding business logic which is where the real - value of your application lies. Furthermore, transaction semantics like - propagation behavior and isolation level can be changed in a - configuration file and do not affect the business service - implementations.

-<beans>
-
-	<bean id="myTxManager"
-		class="org.castor.spring.orm.CastorTransactionManager">
-		<property name="jdoManager" ref="myJDOManager" />
-	</bean>
-
-	<bean id="myProductService"
-		class="org.springframework.aop.framework.ProxyFactoryBean">
-		<property name="proxyInterfaces" value="product.ProductService" />
-		<property name="target">
-			<bean class="product.DefaultProductService">
-				<property name="productDao" ref="myProductDao" />
-			</bean>
-		</property>
-		<property name="interceptorNames">
-			<list>
-				<value>myTxInterceptor</value><!-- the transaction interceptor (configured elsewhere) -->
-			</list>
-		</property>
-	</bean>
-
-</beans>
-        
-public class ProductServiceImpl implements ProductService {
-
-   private ProductDao productDao;
-
-   public void setProductDao(ProductDao productDao) {
-      this.productDao = productDao;
-   }
-
-   // notice the absence of transaction demarcation code in this method 
-   // Spring's declarative transaction infrastructure will be demarcating
-   //transactions on your behalf 
-   public void increasePriceOfAllProductsInCategory(final String category) {
-      List productsToChange = this.productDAO.loadProductsByCategory(category); 
-      // ... 
-   }
-} 
-        

Spring's TransactionInterceptor allows any checked application exception - to be thrown with the callback code, while TransactionTemplate is - restricted to unchecked exceptions within the callback. - TransactionTemplate will trigger a rollback in case of an unchecked - application exception, or if the transaction has been marked - rollback-only by the application (via TransactionStatus). - TransactionInterceptor behaves the same way by default but allows - configurable rollback policies per method.

The following higher level approach to declarative transactions doesn't - use the ProxyFactoryBean, and as such may be easier to use if you have a - large number of service objects that you wish to make transactional.

[Note]Note

You are strongly encouraged to read the section entitled Section 9.5, - “Declarative transaction management” if you have not done so already - prior to continuing. -

-<?xml version="1.0" encoding="UTF-8"?>
-<beans xmlns="http://www.springframework.org/schema/beans"
-	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-	xmlns:aop="http://www.springframework.org/schema/aop"
-	xmlns:tx="http://www.springframework.org/schema/tx"
-	xsi:schemaLocation="
-       http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.0.xsd
-       http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.0.xsd
-       http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-2.0.xsd">
-
-	<!-- JDOManager, DataSource, etc. omitted -->
-
-	<bean id="myTxManager"
-		class="org.castor.spring.orm.CastorTransactionManager">
-		<property name="jdoManager" ref="myJDOManager" />
-	</bean>
-
-	<aop:config>
-		<aop:pointcut id="productServiceMethods"
-			expression="execution(* product.ProductService.*(..))" />
-		<aop:advisor advice-ref="txAdvice"
-			pointcut-ref="productServiceMethods" />
-	</aop:config>
-
-	<tx:advice id="txAdvice" transaction-manager="myTxManager">
-		<tx:attributes>
-			<tx:method name="increasePrice*" propagation="REQUIRED" />
-			<tx:method name="someOtherBusinessMethod"
-				propagation="REQUIRES_NEW" />
-			<tx:method name="*" propagation="SUPPORTS" read-only="true" />
-		</tx:attributes>
-	</tx:advice>
-
-	<bean id="myProductService" class="product.SimpleProductService">
-		<property name="productDao" ref="myProductDao" />
-	</bean>
-
-</beans>

5.3.7. Transaction management strategies

Both TransactionTemplate and TransactionInterceptor delegate the actual - transaction handling to a PlatformTransactionManager instance, which can - be a CastorTransactionManager (for a single Castor JDOManager, - using a ThreadLocal Database under the hood) or a JtaTransactionManager - (delegating to the JTA subsystem of the container) for Castor - applications. You could even use a custom PlatformTransactionManager - implementation. So switching from native Castor transaction - management to JTA, such as when facing distributed transaction - requirements for certain deployments of your application, is just a - matter of configuration. Simply replace the Castor transaction - manager with Spring's JTA transaction implementation. Both transaction - demarcation and data access code will work without changes, as they just - use the generic transaction management APIs.

For distributed transactions across multiple Castor JDOManager instances, - simply combine JtaTransactionManager as a transaction - strategy with multiple LocalCastorFactoryBean definitions. Each of your - DAOs then gets one specific JDOManager reference passed into it's - respective bean property. If all underlying JDBC data sources are - transactional container ones, a business service can demarcate - transactions across any number of DAOs and any number of session - factories without special regard, as long as it is using - JtaTransactionManager as the strategy.

-<beans>
-
-	<bean id="myDataSource1"
-		class="org.springframework.jndi.JndiObjectFactoryBean">
-		<property name="jndiName value=" java:comp/env/jdbc/myds1" />
-	</bean>
-
-	<bean id="myDataSource2"
-		class="org.springframework.jndi.JndiObjectFactoryBean">
-		<property name="jndiName" value="java:comp/env/jdbc/myds2" />
-	</bean>
-
-	<bean id="myJDOManager1"
-		class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="test1" />      
-        <property name="configLocation" value="classpath:jdo-conf-1.xml" />
-	</bean>
-
-	<bean id="myJDOManager2"
-		class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="test2" />      
-        <property name="configLocation" value="classpath:jdo-conf-2.xml" />
-	</bean>
-
-	<bean id="myTxManager"
-		class="org.springframework.transaction.jta.JtaTransactionManager" />
-
-	<bean id="myProductDao" class="product.ProductDaoImpl">
-		<property name="jdoManager" ref="myJDOManager1" />
-	</bean>
-
-	<bean id="myInventoryDao" class="product.InventoryDaoImpl">
-		<property name="jdoManager" ref="myJDOManager2" />
-	</bean>
-
-	<!-- this shows the Spring 1.x style of declarative transaction configuration -->
-	<!-- it is totally supported, 100% legal in Spring 2.x, but see also above for the sleeker, Spring 2.0 style -->
-	<bean id="myProductService"
-		class="org.springframework.transaction.interceptor.TransactionProxyFactoryBean">
-		<property name="transactionManager" ref="myTxManager" />
-		<property name="target">
-			<bean class="product.ProductServiceImpl">
-				<property name="productDao" ref="myProductDao" />
-				<property name="inventoryDao" ref="myInventoryDao" />
-			</bean>
-		</property>
-		<property name="transactionAttributes">
-			<props>
-				<prop key="increasePrice*">PROPAGATION_REQUIRED</prop>
-				<prop key="someOtherBusinessMethod">
-					PROPAGATION_REQUIRES_NEW
-				</prop>
-				<prop key="*">PROPAGATION_SUPPORTS,readOnly</prop>
-			</props>
-		</property>
-	</bean>
-
-</beans>
-        

Both CastorTransactionManager and JtaTransactionManager allow for - proper JVM-level cache handling with Castor - without - container-specific transaction manager lookup or JCA connector (as long - as not using EJB to initiate transactions).

CastorTransactionManager can export the JDBC Connection used by - Castor to plain JDBC access code, for a specific DataSource. This - allows for high-level transaction demarcation with mixed Castor/JDBC - data access completely without JTA, as long as you are just accessing - one database! CastorTransactionManager will automatically expose the - Castor transaction as JDBC transaction if the passed-in - JDOManager has been set up with a DataSource (through the - "dataSource" property of the LocalCastorFactoryBean class).

Alternatively, the DataSource that the transactions are supposed to be - exposed for can also be specified explicitly, through the "dataSource" - property of the CastorTransactionManager class.

5.4. Build instructions

5.4.1. Prerequisites

- In order to build the Sping ORM module for Castor JDO, you will have - the following requirements met on your system: -

  • Download and install Maven 2

  • Download and install a Subversion client.

- As this project uses Maven 2 for build and deployment, all required - compile-time dependencies will automatically be resolved by Maven 2 - and deployed into your local Maven 2 repository. -

5.4.2. Building the Spring ORM module

- This section describes how to build the Spring module from a command - line using Maven 2. Whilst there is support for Maven 2 in various - IDEs (including e.g. Eclipse, IDEA, etc.), using the Maven command - line seems to be the most adequate least common denominator. -

- This section assumes that you have ckecked out the latest sources - from the SVN repsitory for the Spring ORM module for Castor JDO. - Instructions for doing so are provided - here. -

- Open a command line (shell) on your system, and issue the following - commands: -

- > mvn jar            
-        

- Above command will compile the sources and create the distribution JAR - in the target directory of the project root. -

- To install the newly created distribution JAR into your local Maven 2 - repository, please issue the following command: -

- > mvn install            
-        

- To create the complete project documentation - in addition to - the distribution assembly, please issue ... -

- > mvn site            
-        
\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/XML data binding.html b/src/site/resources/reference-guides/1.4.0/html-single/XML data binding.html deleted file mode 100755 index 5008b6cf0..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/XML data binding.html +++ /dev/null @@ -1,3492 +0,0 @@ - - - Chapter 1. Castor XML - XML data binding

Chapter 1. Castor XML - XML data binding

1.1. XML framework

1.1.1. Introduction

- Castor XML is an XML data binding framework. Unlike the two - main XML APIs, DOM (Document Object Model) and SAX (Simple - API for XML) which deal with the structure of an XML - document, Castor enables you to deal with the data defined - in an XML document through an object model which represents - that data. -

- Castor XML can marshal almost any "bean-like" Java Object to - and from XML. In most cases the marshalling framework uses a - set of ClassDescriptors and FieldDescriptors to describe how - an Object should be marshalled and unmarshalled from XML. -

- For those not familiar with the terms "marshal" and - "unmarshal", it's simply the act of converting a stream - (sequence of bytes) of data to and from an Object. The act - of "marshalling" consists of converting an Object to a - stream, and "unmarshalling" from a stream to an Object. -

1.1.2. Castor XML - The XML data binding framework

- The XML data binding framework, as it's name implies, is - responsible for doing the conversion between Java and XML. - The framework consists of two worker classes, - org/exolab/castor/xml/Marshaller and - org.exolab.castor.xml.Unmarshaller - respectively, and a bootstrap class - org.exolab.castor.xml.XMLContext - used for configuration of the XML data binding framework and - instantiation of the two worker objects. -

- Lets walk through a very simple example. Assume we have a - simple - Person - class as follows: -

-import java.util.Date;
-
-/** An simple person class */ 
-public class Person implements java.io.Serializable {
-
-   /** The name of the person */ 
-   private String name = null;
-
-   /** The Date of birth */ 
-   private Date dob = null;
-
-   /** Creates a Person with no name */ 
-   public Person() {
-      super(); 
-   }
-
-   /** Creates a Person with the given name */ 
-   public Person(String name) { this.name = name; }
-
-   /** 
-     * @return date of birth of the person 
-     */ 
-   public Date getDateOfBirth() { return dob; }
-
-   /** 
-     * @return name of the person 
-     */ 
-   public String getName() { return name; }
-
-   /** 
-     * Sets the date of birth of the person 
-     * @param name the name of the person 
-     */ 
-   public void setDateOfBirth(Date dob) { this.dob = dob; }
-
-   /** 
-     * Sets the name of the person 
-     * @param name the name of the person 
-     */ 
-   public void setName(String name) { this.name = name; } 
-}
-		

- To (un-)marshal data to and from XML, Castor XML can be used - in one of three modes: -

  • introspection mode

  • mapping mode

  • descriptor mode (aka generation mode)

- The following sections discuss each of these modes at a high - level. -

1.1.2.1. Introspection mode

- The - introspection mode - is the simplest mode to use from a user perspective, as - it does not require any configuration from the user. As - such, the user does not have to provide any mapping - file(s), nor point Castor to any generated descriptor - classes (as discussed in the 'descriptor mode' section). -

- In this mode, the user makes use of - static - methods on the - org.exolab.castor.xml.Marshaller and - org.exolab.castor.xml.Unmarshaller - classes, providing all required data as parameters on - these method calls. -

- To marshal an instance of the person class you simply - call the - org.exolab.castor.xml.Marshaller - as follows: -

-// Create a new Person
-Person person = new Person("Ryan 'Mad Dog' Madden");
-person.setDateOfBirth(new Date(1955, 8, 15));
-
-// Create a File to marshal to
-writer = new FileWriter("test.xml");
-
-// Marshal the person object
-Marshaller.marshal(person, writer);
-			

- This produces the XML shown in - Example 1.1, “XML produced in introspection mode” -

Example 1.1. XML produced in introspection mode

-XML to written
-				

- To unmarshal an instance of the person class from XML, - you simply call the - org.exolab.castor.xml.Unmarshaller - as follows: -

-// Create a Reader to the file to unmarshal from
-reader = new FileReader("test.xml");
-
-// Marshal the person object
-Person person = (Person)
-Unmarshaller.unmarshal(Person.class, reader);
-			

- Marshalling and unmarshalling is basically that simple. -

[Note]Note
- Note: The above example uses the - - static - - methods of the marshalling framework, and as such no - Marshaller and/or Unmarshaller instances need to be - created. A common mistake in this context when using a - mapping file - is to call the - org.exolab.castor.xml.Marshaller or - org.exolab.castor.xml.Unmarshaller - as in the above example. This won't work, as the mapping - will be ignored. -

- In - introspection mode - , Castor XML uses Java reflection to establish the - binding between the Java classes (and their properties) - and the XML, following a set of (default) naming rules. - Whilst it is possible to change to a different set of - naming rules, there's no way to override this (default) - naming for individual artifacts. In such a case, a - mapping file - should be used. -

1.1.2.2. Mapping mode

- In - mapping mode - , the user provides Castor XML with a user-defined - mapping (in form of a mapping file) that allows the - (partial) definition of a customized mapping between - Java classes (and their properties) and XML. -

- When you are using a mapping file, create an instance of the - org.exolab.castor.xml.XMLContext class and use the - org.exolab.castor.xml.XMLContext.addMapping(Mapping) - method to provide Castor XML with one of more mapping files. -

- To start using Castor XML for marshalling and/or unmarshalling based upon your custom mapping, create - instances of org.exolab.castor.xml.Marshaller and - org.exolab.castor.xml.Unmarshalleras needed using one of the following methods: -

Table 1.1.  - Methods on XMLContext to create Un-/Marshaller - objects -

Method nameDescription
-

- - createMarshaller - -

-
-

- Creates a - - Marshaller - - instance. -

-
-

- - createUnmarshaller - -

-
-

- Creates a - - Unmarshaller - - instance. -

-

- and call any of the - non-static - (un)marshal methods to trigger data binding in either - way. -

- Below code shows a full example that demonstrates - unmarshalling a - Person - instance from XML using a - org.exolab.castor.xml.Unmarshaller - instance as obtained from an XMLContext previously - configured to your needs. -

Example 1.2. Unmarshalling from XML using a mapping

-import org.exolab.castor.xml.XMLContext; import
-org.exolab.castor.mapping.Mapping; import
-org.exolab.castor.xml.Unmarshaller;
-
-// Load Mapping
-Mapping mapping = new Mapping();
-mapping.loadMapping("mapping.xml");
-
-
-	// initialize and configure XMLContext
-
-XMLContext context = new XMLContext();
-context.addMapping(mapping);
-
-
-	// Create a Reader to the file to unmarshal from
-
-reader = new FileReader("test.xml");
-
-// Create a new Unmarshaller
-Unmarshaller unmarshaller =
-context.createUnmarshaller();
-unmarshaller.setClass(Person.class);
-
-// Unmarshal the person object
-Person person = (Person)
-unmarshaller.unmarshal(reader);
-				

- To marshal the very same - Person - instance to XML using a - org.exolab.castor.xml.Marshaller - obtained from the - same - org.exolab.castor.xml.XMLContext, - use code as follows: -

Example 1.3. Marshalling to XML using a mapping

-import org.exolab.castor.xml.Marshaller;
-
-// create a Writer to the file to marshal to
-Writer writer = new FileWriter("out.xml");
-
-// create a new Marshaller
-Marshaller marshaller = context.createMarshaller();
-marshaller.setWriter(writer);
-
-// marshal the person object
-marshaller.marshal(person);
-				

- Please have a look at - XML Mapping - for a detailed discussion of the mapping file and its - structure. -

- For more information on how to effectively deal with - loading mapping file(s) especially in multi-threaded - environments, please check the - best practice - section. -

1.1.2.3. Descriptor mode

TBD

1.1.3. Sources and destinations

- Castor supports multiple sources and destinations from which - objects can be marshalled and unmarshalled. -

Table 1.2.  - Marshalling destinations. -

DestinationDescription
-

- marshal(java.io.Writer) -

-
-

- The character stream. -

-
-

- marshal(org.xml.sax.DocumentHandler) -

-
-

- The SAX document handler. -

-
-

- marshal(org.xml.sax.ContentHandler) -

-
-

- The SAX content handler. -

-
-

- marshal(org.w3c.dom.Node) -

-
-

- The DOM node to marshall object into. -

-
-

- marshal(javax.xml.stream.XMLStreamWriter) -

-
-

- The STaX cursor API. -

-
-

- marshal(javax.xml.stream.XMLEventWriter) -

-
-

- The STaX iterator API. -

-
-

- marshal(javax.xml.transform.Result) -

-
-

- javax.xml.transform.dom.DOMResult, - javax.xml.transform.sax.SAXResult and - javax.xml.transform.stream.StreamResult are supported. -

-

Table 1.3.  - Unmarshalling sources. -

SourceDescription
-

- unmarshal(java.io.Reader) -

-
-

- A character stream. -

-
-

- unmarshal(org.xml.sax.InputSource) -

-
-

- A SAX input source. -

-
-

- unmarshal(org.w3c.dom.Node) -

-
-

- A W3C DOM node which will be used for unmarshalling. -

-
-

- unmarshal(javax.xml.stream.XMLStreamReader) -

-
-

- A StAX cursor. -

-
-

- unmarshal(javax.xml.stream.XMLEventReader) -

-
-

- A StAX iterator. -

-
-

- unmarshal(javax.xml.transform.Source) -

-
-

- Supports javax.xml.transform.dom.DOMSource, - javax.xml.transform.sax.SAXSource - and javax.xml.transform.stream.StreamSource. -

-

- Castor 1.3.2 and 1.3.3 introduced support for the STaX API for - both for marshalling and unmarshalling. The framework fully - supports the STaX cursor and iterator API. -

- An example of marshalling using STaX: -

Example 1.4. Marshalling to a StAX java.xml.stream.XMLStreamWriter

-// marshalling using STaX
-StringWriter writer = new StringWriter();
-XMLOutputFactory outputFactory = XMLOutputFactory.newInstance();
-XMLStreamWriter xmlStreamWriter = outputFactory.createXMLStreamWriter(writer);
-
-marshaller.setXmlStreamWriter(xmlStreamWriter);
-marshaller.marshal(object);
-    		

- Also beginning from version 1.3.3, the framework has been - modified to support Source and Result interfaces. Now it - is possible to use SAXSource, DOMSource and StreamSource - for unmarshalling and corresponding classes for marshalling. -

- Below an example of marshalling into Result: -

Example 1.5. Marshalling to a javax.xml.transform.dom.DOMResult

-// instance of object to be marshalled
-Object obj = ...
-
-// marshalling into DOM node
-XMLContext xmlContext = ... // creates the xml context
-
-// creates marshaller
-Marshaller marshaller = xmlContext.createMarshaller();
-
-// creates DOM factory
-DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
-DocumentBuilder builder = factory.newDocumentBuilder();
-
-// creates document
-Document document = builder.newDocument();
-
-// sets the DOM result for the marshaller
-marshaller.setResult(new DOMResult(document));
-
-// marshalls object
-marshaller.marshall(obj);
-		  

- Another example of unmarshalling from Source: -

Example 1.6. Unmarshalling from a javax.xml.transform.sax.SAXSource

-// unmarshalling from SAX InputSource
-XMLContext xmlContext = ... // creates the xml context
-
-// creates unmarshaller
-Unmarshaller unmarshaller = xmlContext.createUnmarshaller();
-
-// creates SAX input source
-InputSource inputSource = new InputSource(new StringReader(xml));
-
-// creates instance of SAXSource
-SAXSource saxSource = new SAXSource(inputSource);
-
-// unmarshalls object
-Object result = unmarshaller.unmarshal(saxSource);
-    		

1.1.4.  - XMLContext - A consolidated way to bootstrap Castor -

- With Castor 1.1.2, the - org.exolab.castor.xml.XMLContext - class has been added to the Castor marshalling framework. - This new class provides a bootstrap mechanism for Castor - XML, and allows easy (and efficient) instantiation of - org.exolab.castor.xml.Marshaller - and - org.exolab.castor.xml.Unmarshaller - instances as needed. -

- As shown above, the - org.exolab.castor.xml.XMLContext - class offers various factory methods to obtain a new - org.exolab.castor.xml.Marshaller, - org.exolab.castor.xml.Unmarshaller. -

- When you need more than one - org.exolab.castor.xml.Unmarshaller - instance in your application, please call - org.exolab.castor.xml.XMLContext.createUnmarshaller() - as required. As all - Unmarshaller - instances are created from the very same - XMLContext - instance, overhead will be minimal. Please note, though, - that use of one - Unmarshaller - instance is not thread-safe. -

1.1.5. Using existing Classes/Objects

- Castor can marshal "almost" any arbitrary Object to and from - XML. When descriptors are not available for a specfic Class, - the marshalling framework uses reflection to gain - information about the object. -

[Note]Note
- Actually an in memory set of descriptors are created for the - object and we will soon have a way for saving these - descriptors as Java source, so that they may be modified and - compiled with little effort. -

- If a set of descriptors exist for the classes, then Castor - will use those to gain information about how to handle the - marshalling. See Section 1.1.6, “Class Descriptors” - for more information. -

- There is one main restrictions to marshalling objects. These - classes must have have a public default constructor (ie. a - constructor with no arguments) and adequete "getter" and - "setter" methods to be properly be marshalled and - unmarshalled. -

- The example illustrated in the previous section - Section 1.1.2, “Castor XML - The XML data binding framework” - demonstrates how to use the framework with existing classes. -

1.1.6. Class Descriptors

- Class descriptors provide the "Castor Framework" with - necessary information so that the Class can be marshalled - properly. The class descriptors can be shared between the - JDO and XML frameworks. -

- Class descriptors contain a set of - ??? -

- XML Class descriptors provide the marshalling framework with - the information it needs about a class in order to be - marshalled to and from XML. The XMLClassDescriptor - org.exolab.castor.xml.XMLClassDescriptor. -

- XML Class Descriptors are created in four main ways. Two of - these are basically run-time, and the other two are compile - time. - -

1. Compile-Time Descriptors

- To use "compile-time" class descriptors, one can - either implement the - org.exolab.castor.xml.XMLClassDescriptor - interface for each class which needs to be - "described", or have the - Source Code Generator - create the proper descriptors. -

- The main advantage of compile-time descriptors is - that they are faster than the run-time approach. -

-

2. Run-Time Descriptors

- To use "run-time" class descriptors, one can either - simply let Castor introspect the classes, a mapping - file can be provided, or a combination of both - "default introspection" and a specified mapping file - may be used. -

- For "default introspection" to work the class being - introspected must have adequete setter/getter - methods for each field of the class that should be - marshalled and unmarshalled. If no getter/setter - methods exist, Castor can handle direct field access - to public fields. It does not do both at the same - time. So if the respective class has any - getter/setter methods at all, then no direct field - access will take place. -

- There is nothing to do to enable "default - introspection". If a descriptor cannot be found for - a class, introspection occurs automatically. -

- Some behavior of the introspector may be controlled - by setting the appropriate properties in the - castor.properties - file. Such behavior consists of changing the naming - conventions, and whether primitive types are treated - as attributes or elements. See - castor.properties - file for more information. -

- A mapping file may also be used to "describe" the - classes which are to be marshalled. The mapping is - loaded before any marshalling/unmarshalling takes - place. See - org.exolab.castor.mapping.Mapping -

- The main advantage of run-time descriptors is that - it takes very little effort to get something - working. -

-

1.2. XML Mapping

1.2.1. Introduction

Castor XML mapping is a way to simplify the binding of java classes to - XML document. It allows to transform the data contained in a java object - model into/from an XML document.

Although it is possible to rely on Castor's default behavior to marshal and - unmarshal Java objects into an XML document, it might be necessary to have more - control over this behavior. For example, if a Java object model already exists, - Castor XML Mapping can be used as a bridge between the XML document and that - Java object model.

Castor allows one to specify some of its marshalling/unmarshalling behavior - using a mapping file. This file gives explicit information to Castor on how a - given XML document and a given set of Java objects relate to each other.

A Castor mapping file is a good way to dissociate the changes in the structure - of a Java object model from the changes in the corresponding XML document - format.

1.2.2. Overview

The mapping information is specified by an XML document. This document is - written from the point of view of the Java object and describes how the - properties of the object have to be translated into XML. One constraint for the - mapping file is that Castor should be able to infer unambiguously from it how a - given XML element/attribute has to be translated into the object model during - unmarshalling.

The mapping file describes for each object how each of its fields have to be - mapped into XML. A field is an abstraction for a property of an object. It can - correspond directly to a public class variable or indirectly to a property via - some accessor methods (setters and getters).

It is possible to use the mapping and Castor default behavior in conjunction: - when Castor has to handle an object or an XML data but can't find information - about it in the mapping file, it will rely on its default behavior. Castor will - use the Java Reflection API to introspect the Java objects to determine what to do.

Note: Castor can't handle all possible mappings. In some complex cases, it may be - necessary to rely on an XSL transformation in conjunction with Castor to adapt the - XML document to a more friendly format.

1.2.2.1. Marshalling Behavior

For Castor, a Java class has to map into an XML element. When Castor marshals an - object, it will:

  • use the mapping information, if any, to find the name of the element to create

or

  • by default, create a name using the name of the class

It will then use the fields information from the mapping file to determine how a - given property of the object has to be translated into one and only one of the - following:

  • an attribute

  • an element

  • text content

  • nothing, as we can choose to ignore a particular field

This process will be recursive: if Castor finds a property that has a class type - specified elsewhere in the mapping file, it will use this information to marshal - the object.

By default, if Castor finds no information for a given class in the mapping - file, it will introspect the class and apply a set of default rules to guess the - fields and marshal them. The default rules are as follows:

  • All primitive types, including the primitive type wrappers (Boolean, - Short, etc...) are marshalled as attributes.

  • All other objects are marshalled as elements with either text content - or element content.

1.2.2.2. Unmarshalling Behavior

When Castor finds an element while unmarshalling a document, it will try to use - the mapping information to determine which object to instantiate. If no mapping - information is present, Castor will use the name of the element to try to guess - the name of a class to instantiate (for example, for an element named - 'test-element', Castor will try to instantiate a class named 'TestElement' if no - information is given in the mapping file). Castor will then use the field - information of the mapping file to handle the content of the element.

If the class is not described in the mapping file, Castor will instrospect the - class using the Java Reflection API to determine if there is any function of the - form getXxxYyy()/setXxxYyy(<type> x). This accessor will be associated with XML - element/attribute named 'xxx-yyy'. In the future, we will provide a way to - override this default behavior.

Castor will introspect object variables and use direct access _only_ if no - get/set methods have been found in the class. In this case, Castor will look for - public variables of the form:

-public <type> xxxYYY;
-        

and expect an element/attribute named 'xxx-yyy'. The only handled - collections for <type> are java.lang.Vector and array. (up to version - 0.8.10)

For primitive <type>, Castor will look for an attribute first and then an - element. If <type> is not a primitive type, Castor will look for an element - first and then an attribute.

1.2.3. The Mapping File

- The following sections define the syntax for each of the mapping file artefacts - and their semantical meaning. -

1.2.3.1. Sample domain objects

- This section defines a small domain model that will be referenced by - various mapping file (fragments/samples) in the following sections. The model consists - of two two classes Order and OrderItem, where an order - holds a list of order items. -

-public class Order {
-
-    private List orderItems;
-    private String orderNumber;
-    
-    public List getOrderItems() {
-        return orderItems;
-    }
-    public void setOrderItems(List orderItems) {
-        this.orderItems = orderItems;
-    }
-    public String getOrderNumber() {
-        return orderNumber;
-    }
-    public void setOrderNumber(String orderNumber) {
-        this.orderNumber = orderNumber;
-    }
-}
-
-public class OrderItem {
-    
-    private String id;
-    private Integer orderQuantity;
-    
-    public String getId() {
-        return id;
-    }
-    public void setId(String id) {
-        this.id = id;
-    }
-    public Integer getOrderQuantity() {
-        return orderQuantity;
-    }
-    public void setOrderQuantity(Integer orderQuantity) {
-        this.orderQuantity = orderQuantity;
-    }
-}

- As shown above in bold, the Order instance has a (private) field 'orderItems' - to hold a collection of OrderItem instances. This field is publically exposed - by corresponding getter and setter methods. -

1.2.3.2. The <mapping> element

-<!ELEMENT mapping ( description?, include*, field-handler*, class*, key-generator* )>
-        

The <mapping> element is the root element of a mapping file. It contains:

  • an optional description

  • zero or more <include> which facilitates reusing mapping files

  • zero of more <field-handler> defining custom, configurable field handlers

  • zero or more <class> descriptions: one for each class we intend to give - mapping information

  • zero or more <key-generator>: not used for XML mapping

A mapping file look like this:

-<?xml version="1.0"?>
-
-<!DOCTYPE mapping PUBLIC "-//EXOLAB/Castor Mapping DTD Version 1.0//EN"
-      castor.org
-                         "http://castor.org/mapping.dtd">
-
-<mapping>
-	<description>Description of the mapping</description>
-	
-	<include href="other_mapping_file.xml"/>
-	
-	<!-- mapping for class 'A' -->
-	<class name="A">
-	        .........
-	</class>
-	
-	<!-- mapping for class 'B' -->
-	<class name="B">
-	        .........
-	</class>
-
-</mapping>

1.2.3.3. The <class> element

-<!ELEMENT class ( description?, cache-type?, map-to?, field+ )>
-<!ATTLIST class
-          name            ID       #REQUIRED
-          extends         IDREF    #IMPLIED
-          depends         IDREF    #IMPLIED
-          auto-complete   ( true |false ) "false"
-          identity        CDATA    #IMPLIED
-          access          ( read-only | shared | exclusive | db-locked )  "shared"
-          key-generator   IDREF    #IMPLIED >

The <class> element contains all the information used to - map a Java class into an XML document. The content of <class> - is mainly used to describe the fields that will be mapped.

Table 1.4. Description of the attributes

NameDescription
nameThe fuly-qualified name of the Java class that we want to map to.
extendsThe fully qualified name of a parent class. This attribute should be used only - if this class extends another class for which a class mapping is provided. It - should not be used if there's no class maping for the extended - class.
dependsUsed with Castor JDO only; for more information on this field, please - see the JDO documentation.
auto-completeIf true, the class will be introspected to determine its field and - the fields specified in the mapping file will be used to overide the - fields found during the introspection.
identityUsed with Castor JDO only; for more information on this field, please see - see the JDO documentation.
accessUsed with Castor JDO only; for more information on this field, please see - see the JDO documentation.
key-generatorUsed with Castor JDO only; for more information on this field, please see - see the JDO documentation.

The auto-complete attributes is interesting as it allow a fine degree - of control of the introspector: it is possible to specifiy only the - fields whose Castor default behavior does not suite our needs. These - feature should simplify the handling of complexe class containing many - fields. Please see below for an example usage of this attribute.

Table 1.5. Description of the content

NameDescription
descriptionAn optional description.
cache-typeUsed with Castor JDO only; for more information on this field, please see - see the JDO documentation.
map-to - Used if the name of the element is not the name of the class. By - default, Castor will infer the name of the element to be mapped from - the name of the class: a Java class named 'XxxYyy' will be transformed - in 'xxx-yyy'. If you don't want Castor to generate the name, you need - to use <map-to> to specify the name you want to use. <map-to> is - only used for the root element. -
fieldZero or more <field> elements, which are used to describe the properties - of the Java class being mapped.

1.2.3.3.1. Sample <class> mappings

The following mapping fragment defines a class mapping for the OrderItem - class:

-<class name="mypackage.OrderItem>
-           
-   <map-to xml="item"/>
-
-   <field name="id" type="string">
-      <bind-xml name="identity" node="attribute"/>
-   </field>
-
-   </field name="orderQuantity" type="integer">
-      <bind-xml name="quantity" node="element"/>
-   </field>
-
-</class>

- When marshalling an OrderItem instance, this yields the - following XML: -

-<?xml version="1.0" ?>        
-<item identity="12">
-   <quantity>100</quantity>
-</item>

The following mapping fragment defines a class mapping for the same - class, where for all properties but id introspection should - be used; the use of the auto-complete attribute instructs Castor XML - to use introspection for all attributes other than 'id', where - the given field mapping will be used.

-<class name="mypackage.OrderItem auto-complete="true">
-           
-   <map-to xml="item"/>
-
-   <field name="id" type="string">
-      <bind-xml name="identity" node="attribute"/>
-   </field>
-
-</class>

- When marshalling the very same OrderItem instance, this yields the - following XML: -

-<?xml version="1.0" ?>        
-<item identity="12">
-   <order-quantity>100</order-quantity>
-</item>

- By removing the <map-to> element from above class mapping, ... -

-<class name="mypackage.OrderItem auto-complete="true">
-           
-   <field name="id" type="string">
-      <bind-xml name="identity" node="attribute"/>
-   </field>
-
-</class>

- ... Castor will use introspection to infer the element name from the Java - class name (OrderItem), applying a default naming convention scheme. -

- When marshalling the very same OrderItem instance, this yields the - following XML: -

-<?xml version="1.0" ?>        
-<order-item identity="12">
-   <order-quantity>100</order-quantity>
-</order-item>

1.2.3.4. The <map-to> element

-<!ELEMENT map-to EMPTY>
-<!ATTLIST map-to
-          table               NMTOKEN  #IMPLIED
-          xml                 NMTOKEN  #IMPLIED
-          ns-uri              NMTOKEN  #IMPLIED
-          ns-prefix           NMTOKEN  #IMPLIED
-          ldap-dn             NMTOKEN  #IMPLIED
-          element-definition  (true|false) "false"     NEW as of 1.0M3
-          ldap-oc             NMTOKEN  #IMPLIED>

<map-to> is used to specify the name of the element that should - be associated with the given class. <map-to> is only used for - the root class. If this information is not present, Castor will:

  • for marshalling, infer the name of the element to be mapped from the name of - the class: a Java class named 'XxxYyy' will be transformed into 'xxx-yyy'.

  • for unmarshalling, infer the name of the class from the name of the element: - for an element named 'test-element' Castor will try to use a - class named 'TestElement'

Please note that it is possible to change the naming scheme used by Castor - to translate between the XML name and the Java class name in the - castor.properties file.

Table 1.6. Description of attributes

xmlName of the element that the class is associated to.
ns-uriNamespace URI
ns-prefixDesired namespace
element-definitionTrue if the descriptor as created from a schema definition that - was of type element (as opposed to a <complexType> definition). This - only is useful in the context of source code generation.
ldap-dnNot used for Castor XML
ldap-ocNot used for Castor XML

1.2.3.4.1. <map-to> samples

The following mapping fragment defines a <map-to element for the - OrderItem class, manually setting the element name to a value - of 'item'.

-<class name="myPackage.OrderItem">
-   ...
-   <map-to xml="item" />
-   ...
-</class>

The following mapping fragment instructs Castor to assign a namespace URI of - http://castor.org/sample/mapping/ to the <item> element, - and use a namespace prefix of 'castor' during un-/marshalling.

-<class name="myPackage.OrderItem">
-   ...
-   <map-to xml="item" ns-uri="http://castor.org/sample/mapping/"
-           ns-prefix="castor"/>
-   ...
-</class>

- When marshalling an OrderItem instance, this will yield the - following XML: -

-<?xml version="1.0" ?>        
-<castor:order-item xmlns:castor="http://castor.org/sample/mapping/" identity="12">
-   <castor:order-quantity>100</castor:order-quantity>
-</castor:order-item>

1.2.3.5. The <field> element

-<!ELEMENT field ( description?, sql?, bind-xml?, ldap? )>
-<!ATTLIST field
-    name           NMTOKEN  #REQUIRED
-    type           NMTOKEN  #IMPLIED
-    handler        NMTOKEN  #IMPLIED
-    required       ( true | false )  "false"
-    direct         ( true | false )  "false"
-    lazy           ( true | false )  "false"
-    transient      ( true | false )  "false"
-    nillable       ( true | false )  "false"
-    container      ( true | false )  "false"
-    get-method     NMTOKEN  #IMPLIED
-    set-method     NMTOKEN  #IMPLIED
-    create-method  NMTOKEN  #IMPLIED
-    collection     ( array | vector | hashtable | collection | set | map )  #IMPLIED>
-        

<field> is used to describe a property of a Java object - we want to marshal/unmarshal. It gives:

  • its identity ('name')

  • its type (infered from 'type' and 'collection')

  • its access method (infered from 'direct', 'get-method', 'set-method')

From this information, Castor is able to access a given property in the Java - class.

In order to determine the signature that Castor expects, there are two easy - rules to apply.

1. Determine <type>.

  • If there is no 'collection' attribute, the <type> is just the Java type - specified in <type_attribute> (the value of the 'type' attribute in the XML - document). The value of <type_attribute> can be a fully qualified Java object - like 'java.lang.String' or one of the allowed short name:

    Table 1.7. Type shortnames

    short namePrimitive type?Java Class
    otherNjava.lang.Object
    stringNjava.lang.String
    integerYjava.lang.Integer.TYPE
    longYjava.lang.Long.TYPE
    booleanYjava.lang.Boolean.TYPE
    doubleYjava.lang.Double.TYPE
    floatYjava.lang.Float.TYPE
    big-decimalNjava.math.BigDecimal
    byteYjava.lang.Byte.TYPE
    dateNjava.util.Date
    shortYjava.lang.Short.TYPE
    charYjava.lang.Character.TYPE
    bytesNbyte[]
    charsNchar[]
    stringsNString[]
    localeNjava.util.Locale

    Castor will try to cast the data in the XML file in the proper Java type.

  • If there is a collection attribute - , you can use the following table:

    Table 1.8. Type implementations

    name<type>default implementation
    array<type_attribute>[]<type_attribute>[]
    arraylistjava.util.Listjava.util.Arraylist
    vectorjava.util.Vectorjava.util.Vector
    hashtablejava.util.Hashtablejava.util.Hashtable
    collectionjava.util.Collectionjava.util.Arraylist
    setjava.util.Setjava.util.Hashset
    mapjava.util.Mapjava.util.Hashmap
    sortedsetjava.util.SortedSetjava.util.TreeSet

    The type of the object inside the collection is <type_attribute>. The 'default - implementation' is the type used if the object holding the collection is found - to be null and need to be instantiated.

    For hashtable and maps (since 0.9.5.3), Castor will save both key and values. - When marshalling output <key> and <value> - elements. These names can be controlled by using a top-level or nested class mapping for - the org.exolab.castor.mapping.MapItem class. -

    Note: for backward compatibility with prior versions of Castor, the saveMapKeys - property can be set to false in the castor.properties file.

    For versions prior to 0.9.5.3, hashtable and maps, Castor will save only the value - during marshalling and during unmarshalling will add a map entry using the object as - both the key and value, e.g. map.put(object, object). -

It is necessary to use a collection when the content model of the - element expects more than one element of the specified type.

Determine the signature of the function

  • If 'direct' is set to true, Castor expects to find a class variable with the - given signature:

    -public <type> <name>;
    -          
  • If 'direct' is set to false or omitted, Castor will access the property - though accessor methods. Castor determines the signature of the accessors as - follow: If the 'get-method' or 'set-method' attributes are supplied, it will - try to find a function with the following signature:

    -public <type> <get-method>();
    -            

    or

    -public void <set-method>(<type> value);
    -            

    If 'get-method' and 'set-method' attributes are not provided, Castor will try to - find the following function:

    -public <type> get<capitalized-name>();
    -            

    or

    -public void set<capitalized-name>(<type> value);
    -            

    <capitalized-name> means that Castor takes the <name> attribute and put its first - letter in uppercase without modifying the other letters.

    The content of <field> will contain the information on how to map this given - field to SQL, XML, ...

  • Exceptions concerning collection fields:

    The default is to treat the 'get-method' as a simple getter returning - the collection field, and the 'set-method' as a simple getter used to set - a new instance on the collection field.

    Table 1.9. Collection field access

    ParameterDescription
    'get-method' -

    - If a 'get-method' is provided - for a collection field, Castor - - in adition to the default - behaviour described above - will - deviate from the standard case - for the following special - prefixes: -

    - -
    -public Iterator iterate...();
    -                					
    - -

    - A 'get-method' starting with the - prefix ' - iterate - ' is treated as Iterator method - for the given collection field. -

    - -
    -public Enumeration enum...();
    -                					
    - -

    - A 'get-method' starting with ' - enum - ' is treated as Enumeration - method for the given collection - field. -

    -
    'set-method' -

    - If 'set-method' is provided for - a collection field, Castor - in - addition to the default - behaviour described above - will - accept an 'add' prefix and - expect the following signature: -

    - -
    -public void add...(<type> value);
    -                					
    - -

    - This method is called for each - collection element while - unmarshalling. -

    -

Table 1.10. Description of the attributes

NameDescription
nameThe field 'name' is required even if no such field exists in the - class. If 'direct' access is used, 'name' should be the name of - a public instance member in the object to be mapped (the field - must be public, not static and not transient). If no direct access - and no 'get-/set-method' is specified, this name will be used to - infer the name of the accessors methods.
typeThe Java type of the field. It is used to access the field. Castor - will use this information to cast the XML information (like string - into integer). It is also used to define the signature of the accessor - methods. If a collection is specified, this is used to specify the - type of the objects held by the collection. See description - above for more details.
requiredA field can be optional or required.
nillableA field can be of content 'nil'.
transientIf true, this field will be ignored during the marshalling. This - is usefull when used together with the auto-complete="true" - option.
directIf true, Castor will expect a public variable in the containing class - and will access it directly (for both reading and writing).
containerIndicates whether the field should be treated as a container, - i.e. only it's fields should be persisted, but not the containing - class itself. In this case, the container attribute should be set - to true (supported in Castor XML only).
collectionIf a parent expects more than one occurrence of one of its - element, it is necessary to specify which collection Castor will - use to handle them. The type specified is used to define the type - of the content inside the collection.
get-methodOptional name of the 'get method' Castor should use. If this attribute - is not set and the set-method attribute is not set, then Castor will try - to infer the name of this method with the algorithm described above.
set-methodOptional name of the 'set method' Castor should use. If this attribute - is not set and the get-method attribute is not set, then Castor will try - to infer the name of this method with the algorithm described above.
create-methodOptionally defines a factory method for the instantiation of a FieldHandler
handlerIf present, specifies one of the following: -
  • The fully-qualified class name of a custom field handler implementation, or

  • The (short) name of a - configurable field handler - definition.


1.2.3.6. Description of the content

- In the case of XML mapping, the content of a field element should be one and - only one <bind-xml> element describing how this given field will be mapped into the - XML document. -

1.2.3.6.1. Mapping constructor arguments (since 0.9.5)

- Starting with release 0.9.5, for attribute - mapped fields, support has been added to map a constructor field using - the set-method attribute. -

- To specify that a field (mapped to an attribute) should be used as a constructor - argument during object initialization, please specify a set-method attribute on the - <field> mapping and use "%X" as the value of the - set-method attribute, where X - is a positive integer number, e.g. %1 or - %21. -

For example:

-<field name="foo" set-method="%1" get-method="getFoo" type="string">
-   <bind-xml node="attribute"/>
-</field>

- Note that because the set-method is specified, the get-method also - must be specified. -

- Tip: the XML HOW-TO section has a HOW-TO document for - mapping constructor arguments, incl. a fully working mapping. -

1.2.3.6.2. Sample 1: Defining a custom field handler

The following mapping fragment defines a <field> element for the - member property of the org.some.package.Root class, - specifying a custom org.exolab.castor.mapping.FieldHandler - implementation.

-<class name="org.some.package.Root">
-   <field name="member" type="string" handler="org.some.package.CustomFieldHandlerImpl"/>
-</class>
1.2.3.6.3. Sample 2: Defining a custom configurable field handler

- The same custom field handler as in the previous sample can be defined - with a separate configurable <field-handler> definition, where additional - configuration can be provided. -

-<field-handler name="myHandler" class="org.some.package.CustomFieldHandlerImpl">
-   <param name="date-format" value="yyyyMMddHHmmss"/>
-</field-handler>

- and subsequently be referred to by its name as shown in the - following field mapping: -

-<class name="org.some.package.Root">
-   <field name="member" type="string" handler="myHandler"/>
-</class>
1.2.3.6.4. Sample 3: Using the container attribute

- Assume you have a class mapping for a class Order which defines - - amongst others - a field mapping as follows, where the field item - refers to an instance of a class Item. -

-<class name="some.example.Order">
-            
-   ...
-   <field name="item" type="some.example.Item" >
-      <bind-xml> name="item" node="element" />
-   </field>
-   ...
-</class>
-
-<class name="some.example.Item">
-   <field name="id" type="long" />
-   <field name="description" type="string" />
-</class>

- Marshalling an instance of Order would produce XML as follows: -

-<order>
-    ...
-    <item>
-        <id>100</id>
-        <description>...</description>
-    </item>
-</order>

- If you do not want the Item instance to be marshalled, - but only its fields, change the field mapping for the item - member to be as follows: -

-<field name="item" type="some.example.Item" container="false" >
-   <bind-xml> name="item" node="element" />
-</field>

- The resulting XML would look as follows: -

-<order>
-    ...
-    <id>100</id>
-    <description>...</description>
-</order>

1.2.3.7. The <bind-xml> element

1.2.3.7.1. Grammar
-<!ELEMENT bind-xml (class?, property*)>
-<!ATTLIST bind-xml
-          name     NMTOKEN     #IMPLIED
-          type     NMTOKEN     #IMPLIED
-          location CDATA       #IMPLIED
-          matches  NMTOKENS    #IMPLIED
-          QName-prefix NMTOKEN #IMPLIED
-          reference   ( true | false ) "false"
-          node        ( attribute | element | text )    #IMPLIED
-          auto-naming ( deriveByClass | deriveByField ) #IMPLIED
-          transient   ( true | false ) "false">
1.2.3.7.1.1. Definiton

- The <bind-xml> element is used to describe how a given Java field - should appear in an XML document. It is used both for marshalling - and unmarshalling. -

Table 1.11. Description of the attributes

nameThe name of the element or attribute. -
[Note]Note

The name is a QName, and a namespace prefix may be used to indicate the - element or attribute belongs to a certain namespace. Note the prefix is not - preserved or used during marshalling, it's simply used for - qualification of which namespace the element or attribute belongs.

auto-namingIf no name is specified, this attribute controls how castor will - automatically create a name for the field. Normally, the name is - created using the field name, however many times it is necessary - to create the name by using the class type instead (such as - heterogenenous collections).
typeXML Schema type (of the value of this field) that requires specific - handling in the Castor Marshalling Framework (such as 'QName' for - instance).
location (since 0.9.4.4)Allows the user to specify the "sub-path" for which the value - should be marshalled to and from. This is useful for "wrapping" values in - elements or for mapping values that appear on sub-elements to the - current "element" represented by the class mapping. For more information, - see the Location attribute below.
QName-prefixWhen the field represents a QName value, a prefix can be provided that - is used when marshalling value of type QName. More information on the - use of 'QName-prefix' can be found in the - SourceGenerator Documentation
referenceIndicates if this field has to be treated as a reference by the - unmarshaller. In order to work properly, you must specify the node - type to 'attribute' for both the 'id' and the 'reference'. In - newer versions of Castor, 'element' node for reference is allowed. - Remember to make sure that an identity field is specified - on the <class> mapping for the object type being - referenced so that Castor knows what the object's identity is.
matchesAllows overriding the matches rules for the name of the element. It - is a standard regular expression and will be used instead of the 'name' - field. A '*' will match any xml name, however it will only be matched - if no other field exists that matches the xml name.
nodeIndicates if the name corresponds to an attribute, an element, - or text content. By default, primitive types are assumed to be - an attribute, otherwise the node is assumed to be an elemen
transientAllows for making this field transient for XML. The default value is - inherited from the <field> element.

1.2.3.7.2. Nested class mapping

Since 0.9.5.3, the bind-xml element supports a nested class mapping, which - is often useful when needing to specify more than one mapping for a - particular class. A good example of this is when mapping Hashtable/HashMap/Map.

-<bind-xml ...>
-   <class name="org.exolab.castor.mapping.MapItem">
-      <field name="key" type="java.lang.String">
-        <bind-xml name="id"/>
-      </field>
-      <field name="value" type="com.acme.Foo"/>
-   </class>
-</bind-xml>

1.2.4. Usage Pattern

Here is an example of how Castor Mapping can be used. We want to map an XML - document like the following one (called 'order.xml'). - model.

-<Order reference="12343-AHSHE-314159">
-  <Client>
-    <Name>Jean Smith</Name>
-    <Address>2000, Alameda de las Pulgas, San Mateo, CA 94403</Address>
-  </Client>
-
-  <Item reference="RF-0001">
-    <Description>Stuffed Penguin</Description>
-    <Quantity>10</Quantity>
-    <UnitPrice>8.95</UnitPrice>
-  </Item>
-
-  <Item reference="RF-0034">
-    <Description>Chocolate</Description>
-    <Quantity5</Quantity>
-    <UnitPrice>28.50</UnitPrice>
-  </Item>
-
-  <Item reference="RF-3341">
-     <Description>Cookie</Description>
-     <Quantity>30</Quantity>
-     <UnitPrice>0.85</UnitPrice>
-  </Item>
-</Order>

Into the following object model composed of 3 classes:

  • MyOrder: represent an order

  • Client: used to store information on the client

  • Item: used to store item in an order

The sources of these classes follow.

-import java.util.Vector;
-import java.util.Enumeration;
-
-public class MyOrder {
-
-    private String _ref;
-    private ClientData _client;
-    private Vector _items;
-    private float _total;
-
-    public void setReference(String ref) {
-        _ref = ref;
-    }
-
-    public String getReference() {
-        return _ref;
-    }
-
-    public void setClientData(ClientData client) {
-        _client = client;
-    }
-
-    public ClientData getClientData() {
-        return _client;
-    }
-
-    public void setItemsList(Vector items) {
-        _items = items;
-    }
-
-    public Vector getItemsList() {
-        return _items;
-    }
-
-
-    public void setTotal(float total) {
-        _total = total;
-    }
-
-    public float getTotal() {
-        return _total;
-    }
-
-    // Do some processing on the data
-    public float getTotalPrice() {
-        float total = 0.0f;
-
-        for (Enumeration e = _items.elements() ; e.hasMoreElements() ;) {
-            Item item = (Item) e.nextElement();
-            total += item._quantity * item._unitPrice;
-        }
-
-        return total;
-    }
-}
-public class ClientData {
-
-    private String _name;
-    private String _address;
-
-    public void setName(String name) {
-        _name = name;
-    }
-
-    public String getName() {
-        return _name;
-    }
-
-    public void setAddress(String address) {
-        _address = address;
-    }
-
-    public String getAddress() {
-        return _address;
-    }
-}
-public class Item {
-    public String _reference;
-    public int    _quantity;
-    public float  _unitPrice;
-    public String _description;
-}

The XML document and the java object model can be connected by using the - following mapping file:

-<?xml version="1.0"?>
-<!DOCTYPE mapping PUBLIC "-//EXOLAB/Castor Mapping DTD Version 1.0//EN"
-                         "http://castor.org/mapping.dtd">
-
-<mapping>
-  <class name="MyOrder">
-    <map-to xml="Order"/>
-
-    <field name="Reference"
-           type="java.lang.String">
-      <bind-xml name="reference" node="attribute"/>
-    </field>
-
-    <field name="Total"
-           type="float">
-      <bind-xml name="total-price" node="attribute"/>
-    </field>
-
-    <field name="ClientData"
-           type="ClientData">
-      <bind-xml name="Client"/>
-    </field>
-
-    <field name="ItemsList"
-           type="Item"
-              collection="vector">
-      <bind-xml name="Item"/>
-    </field>
-  </class>
-
-  <class name="ClientData">
-    <field name="Name"
-           type="java.lang.String">
-      <bind-xml name="Name" node="element"/>
-    </field>
-
-    <field name="Address"
-           type="java.lang.String">
-      <bind-xml name="Address" node="element"/>
-    </field>
-  </class>
-
-  <class name="Item">
-    <field name="_reference"
-           type="java.lang.String"
-           direct="true">
-      <bind-xml name="reference" node="attribute"/>
-    </field>
-
-    <field name="_quantity"
-           type="integer"
-           direct="true">
-      <bind-xml name="Quantity" node="element"/>
-    </field>
-
-    <field name="_unitPrice"
-           type="float"
-           direct="true">
-      <bind-xml name="UnitPrice" node="element"/>
-    </field>
-
-    <field name="_description"
-           type="string"
-           direct="true">
-      <bind-xml name="Description" node="element"/>
-    </field>
-  </class>
-
-</mapping>

The following class is an example of how to use Castor XML Mapping to - manipulate the file 'order.xml'. It unmarshals the document 'order.xml', - computes the total price, sets the total price in the java object and - marshals the object model back into XML with the calculated price.

-import org.exolab.castor.mapping.Mapping;
-import org.exolab.castor.mapping.MappingException;
-
-import org.exolab.castor.xml.Unmarshaller;
-import org.exolab.castor.xml.Marshaller;
-
-import java.io.IOException;
-import java.io.FileReader;
-import java.io.OutputStreamWriter;
-
-import org.xml.sax.InputSource;
-
-public class main {
-
-    public static void main(String args[]) {
-
-        Mapping      mapping = new Mapping();
-
-        try {
-            // 1. Load the mapping information from the file
-            mapping.loadMapping( "mapping.xml" );
-
-            // 2. Unmarshal the data
-            Unmarshaller unmar = new Unmarshaller(mapping);
-            MyOrder order = (MyOrder)unmar.unmarshal(new InputSource(new FileReader("order.xml")));
-
-            // 3. Do some processing on the data
-            float total = order.getTotalPrice();
-            System.out.println("Order total price = " + total);
-            order.setTotal(total);
-
-            // 4. marshal the data with the total price back and print the XML in the console
-            Marshaller marshaller = new Marshaller(new OutputStreamWriter(System.out));
-            marshaller.setMapping(mapping);
-            marshaller.marshal(order);
-
-        } catch (Exception e) {
-            System.out.println(e);
-            return;
-        }
-    }
-}
-       

1.2.5. xsi:type

Ordinarily, a mapping will only reference types that are concrete classes (i.e. not interfaces - nor abstract classes). The reason is that to unmarshal a type requires instantiating it and - one cannot instantiate an interface. However, in many real situations, object models depend - on the use of interfaces. Many class properties are defined to have interface types to support - the ability to swap implementations. This is often the case in frameworks.

The problem is that a different mapping must be used each time the same model is to be - used to marshal/unmarshal an implementation that uses different concrete types. This is - not convenient. The mapping should represent the model and the specific concrete type - used to unmarshal a document is a configuration parameter; it should be specified in the - instance document to be unmarshalled, not the mapping.

For example, assume a very simple object model of an engine that has one property that - is a processor:

-public interface IProcessor {
-    public void process();
-}
-
-public class Engine {
-    private IProcessor processor;
-    public IProcessor getProcessor() {
-        return processor;
-    }
-    public void setProcessor(IProcessor processor) {
-        this.processor = processor;
-    }
-}
-            

A typical mapping file for such a design may be:

  
-<mapping>
-    <class name="Engine">
-        <map-to xml="engine" />
-
-        <field name="processor" type="IProcessor" required="true">
-           <bind-xml name="processor" node="element" />
-        </field>
-
-     </class>
-  </mapping>

It is possible to use such a mapping and still have the marshal/unmarshal process work - by specifying the concrete implementation of IProcessor in the document to be unmarshalled, - using the xsi:type attribute, as follows:

-  <engine>
-     <processor xsi:type="java:com.abc.MyProcessor" />
-  </engine>
-            

In this manner, one is still able to maintain only a single mapping, but vary the - manner in which the document is unmarshalled from one instance document to the next. - This flexibility is powerful because it enables the support of polymorphism within - the castor xml marshalling framework.

Suppose we wanted the following XML instead:

-  <engine>
-     <myProcessor/>
-  </engine>

In the above output our XML name changed to match the type of the class used instead of - relying on the xsi:type attribute. This can be achieved by modifying the mapping - file as such: -

-  <mapping>
-     <class name="Engine">
-        <map-to xml="engine" />
-        <field name="processor" type="IProcessor" required="true">
-           <bind-xml auto-naming="deriveByClass" node="element" />
-        </field>
-     </class>
-
-     <class name="MyProcessor">
-        <map-to xml="myProcessor" />
-     </class>
-
-  </mapping>

1.2.6. Location attribute

Since 0.9.5

- The location attribute allows the user to map fields from nested - elements or specify a wrapper element for a given field. Wrapper - elements are simply elements which appear in the XML instance, but - do not have a direct mapping to an object or field within the - object model. -

- For example to map an instance of the following class: -

-public class Foo {
-
-    private Bar bar = null;
-
-    public Foo();
-
-    public getBar() {
-        return bar;
-    }
-
-    public void setBar(Bar bar) {
-        this.bar = bar;
-    }
-}

- into the following XML instance: -

-<?xml version="1.0"?>
-<foo>;
-   <abc>
-      <bar>...</bar>
-   </abc>
-</foo>

- (notice that an 'abc' field doesn't exist in the Bar class) - One would use the following mapping:

-<?xml version="1.0"?>
-   ...
-   <class name="Foo">
-      <field name="bar" type="Bar">
-         <bind-xml name="bar" location="abc"/>
-      </field>
-   </class>
-   ...
-</mapping>

- Note the "location" attribute. The value of this attribute is the name - of the wrapper element. To use more than one wrapper element, the name - is separated by a forward-slash as such: -

-<bind-xml name="bar" location="abc/xyz" />

- Note that the name of the element is not part of the location itself and - that the location is always relative to the class in which the field is - being defined. - - This works for attributes also: -

-<bind-xml name="bar" location="abc" node="attribute" />

- will produce the following: -

-<?xml version="1.0"?>
-<foo>
-   <abc bar="..."/>;
-</foo>

1.2.7. Tips

Some helpful hints...

1.2.7.1. Automatically create a mapping file

- Castor comes with a tool that can automatically create a mapping from - class files. Please see the XML FAQ for more - information. -

1.2.7.2. Create your own FieldHandler

- Sometimes to handle complex situations you'll need to create your - own FieldHandler. Normally a FieldHandler deals with a specific class - and field, however generic, reusable FieldHandlers can also be created - by extending org.exolab.castor.mapping.GeneralizedFieldHandler or - org.exolab.castor.mapping.AbstractFieldHandler. - The FieldHandler can be specified on the <field> element. -

- For more information on writing a custom FieldHandler please - see the following: - XML FieldHandlers. -

1.2.7.3. Mapping constructor arguments (since 0.9.5)

- You may map any attributes to constructor arguments. For more information - on how to map constructor arguments see the information available - in the section on set-method - above. -

Please note that mapping elements to constructor arguments is - not yet supported. -

- Tip: the XML HOW-TO section has a HOW-TO document for - mapping constructor arguments. -

1.2.7.4. Preventing Castor from checking for a default constructor (since 0.9.5)

- Sometimes it's useful to prevent Castor from checking for a default constructor, - such as when trying to write a mapping for an interface or type-safe enum. You can use the - "undocumented" verify-constructable="false" attribute on the <class> element to - prevent Castor from looking for the default constructor. -

1.2.7.5. Type safe enumeration mapping (since 0.9.5)

- While you can always use your own custom FieldHandler for handling type-safe enumeration - classes, Castor does have a built-in approach to dealing with these types of classes. - If the type-safe enum class has a public static <type> valueOf(String) method - Castor will call that method so that the proper instance of the enumeration is returned. - Note: You'll also need to disable the default constructor check in the mapping file - (see section 7.4 above to see more on this). -

1.3. Configuring Castor XML (Un)Marshaller

1.3.1. Introduction

To be defined ...

1.3.2. Configuring the Marshaller

- Before using the - Marshaller - class for marshalling Java objects to XML, the - Marshaller - can be fine-tuned according to your needs by calling a - variety of set-methods on this class. This section enlists - the available properties and provides you with information - about their meaning, possible values and the default value. -

Table 1.12. Marshaller properties

NameDescriptionValuesDefaultSince
suppressNamespaces  - true - or - false - - false - -

1.3.3. Configuring the Unmarshaller

- Before using the - Unmarshaller - class for unmarshalling Java objects from XML, the - Unmarshaller - can be fine-tuned according to your needs by calling a - variety of set-methods on this class. This section enlists - the available properties and provides you with information - about their meaning, possible values and the default value. -

Table 1.13. Unmarshaller properties

NameDescriptionValuesDefaultSince
rootObject  - A Class instance identifying the root class - to use for unmarshalling. - --

1.4. Usage of Castor and XML parsers

1.4.1. SAX/DOM

- Being an XML data binding framework by definition, Castor XML relies on the - availability of an XML parser at run-time. In Java, an XML parser is by - default accessed though either the DOM or the SAX APIs: that implies - that the XML Parser used needs to comply with either (or both) of these APIs. -

- With the creation of the JAXP API (and its addition to the Java language - definition as of Java 5.0), Castor internally has been enabled to allow - usage of the JAXP interfaces to interface to XML parsers. As such, - Castor XML allows the use of a JAXP-compliant XML parser as well. -

- By default, Castor ships with - Apache Xerces - 2.6.2. You may, of course, upgrade to a newer version - of - Apache Xerces - at your convenience, or switch to any other XML parser as long as it is - JAXP compliant or implements a particular SAX interface. Please note that - users of Java 5.0 and above do not need to have Xerces available - at run-time, as JAXP and Xerces have both been integrated into the run-time - library of Java. -

- For marshalling, Castor XML can equally use any JAXP complaint XML parser (or - interact with an XML parser that implements the SAX API), with the exception - of the following special case: when using 'pretty printing' during marshalling - (by setting the corresponding property in castor.properties - to true) with Java 1.4 or below, - Apache Xerces - has to be on the classpath, as Castor XML internally uses Xerces' XMLSerializer - to implement this feature. -

- The following table enlists the requirements relative to the Java version - used in your environment. -

Table 1.14. XML APIs on various Java versions

Java 1.4 and belowJava 5.0 and above
Xerces 2.6.2 -
XML APIs -

1.4.2. StAX

- As of Castor 1.3.2, Castor XML can be used with a StAX-compliant parser to unmarshal from XML. - Please see Example 1.1, “XML produced in introspection mode” for StAX-specific - unmarshal methods added to - org.exolab.castor.xml.Unmarshaller. -

1.5. XML configuration file

1.5.1. News

  • - Added a section on how to access the properties as - defined in the Castor properties file from within - code. -

  • - Release 1.2.1: - : Added new - - org.exolab.castor.xml.lenient.integer.validation - - property to allow configuration of leniency for - validation for Java properties generated from - <xs:integer> - types during code generation. -

  • - Release 1.2: - : Access to the - org.exolab.castor.util.LocalConfiguration - class has been removed completely. To access the - properties as used by Castor from code, please refer - to the below section. -

  • - Release 1.1.3: - Added special processing of proxied classes. The - property org.exolab.castor.xml.proxyInterfaces - allows you to specify a list of interfaces that such - proxied objects implement. If your object implements - one of these interfaces Castor will not use the - class itself but its superclass at introspection or - to find class mappings and ClassDescriptors. -

  • - Release 0.9.7: - Added new org.exolab.castor.persist.useProxies - property to allow configuration of JDBC proxy - classes. If enabled, JDBC proxy classes will be used - to wrap - java.sql.Connection - and - java.sql.PreparedStatement - instances, to allow for more detailed and complete - JDBC statements to be output during logging. When - turned off, no logging statements will be generated - at all. -

1.5.2. Introduction

- Castor uses a configuration file for environmental - properties that are shared across all the Castor sub - systems. The configuration file is specified as a Java - properties file with the name castor.properties. -

- By definition, a default configuration file is included with the - Castor XML JAR. Custom properties can be supplied using one of the - following methods. Please note that the custom properties specified - will override the default - configuration. -

  • - Place a file named castor.properties - anywhere on the classpath of your application. -

  • - Place a file named castor.properties - in the working directory of your application. -

  • - Use the system property - org.castor.user.properties.location to - specify the location of your custom properties. -

- Please note that Castor XML - upon startup - will try the methods - given above in exactly the sequence as stated above; if it managed - to find a custom property file using any of the given methods, - it will cancel its search. -

- When running the provided examples, Castor will use the - configuration file located in the examples directory which - specifies additional debugging information as well as pretty - printing of all produced XML documents. -

- The following properties are currently supported in the - configuration file: -

Table 1.15. 

NameDescriptionValuesDefaultSince
- org.exolab.castor.xml.introspector.primitive.nodetype - - Property specifying the type of XML node to use - for primitive values, either - element - or - attribute - - element - or - attribute - - attribute - -
org.exolab.castor.parser - Property specifying the class name of the SAX - XML parser to use. - ---
org.exolab.castor.parser.validation - Specifies whether to perform XML document - validation by default. - - true - and - false - - false - -
org.exolab.castor.parser.namespaces - Specifies whether to support XML namespaces by - default. - - false - and - true - - false - -
org.exolab.castor.xml.nspackages - Specifies a list of XML namespace to Java - package mappings. - ---
org.exolab.castor.xml.naming - Property specifying the 'type' of the XML naming - conventions to use. Values of this property must - be either - mixed - , - lower - , or the name of a class which extends - org.exolab.castor.xml.XMLNaming - . - - mixed - , - lower - , or the name of a class which extends - org.exolab.castor.xml.XMLNaming - - lower - -
org.castor.xml.java.naming - Property specifying the 'type' of the Java - naming conventions to use. Values of this - property must be either - null - or the name of a class which extends - link org.castor.xml.JavaNaming. - -

- null - or the name of a class which extends - link org.castor.xml.JavaNaming. -

-
- null - -
- org.exolab.castor.marshalling.validation - - Specifies whether to use validation during - marshalling. - - false - or - true - - true - -
org.exolab.castor.indent - Specifies whether XML documents (as generated at - marshalling) should use indentation or not. - - false - or - true - - false - -
org.exolab.castor.sax.featuresSpecifies additional features for the XML parser. - A comma separated list of SAX (parser) features (that might or might not be supported by the specified SAX parser).http://apache.org/xml/features/disallow-doctype-decl-
org.exolab.castor.sax.features-to-disableSpecifies features to be disbaled on the underlying SAX parser.A comma separated list of SAX (parser) features to be disabled. - http://xml.org/sax/features/external-general-entities, - http://xml.org/sax/features/external-parameter-entities, - http://apache.org/xml/features/nonvalidating/load-external-dtd - -

1.0.4

-
org.exolab.castor.regexpSpecifies the regular expression validator to use.A class that implements org.exolab.castor.util.RegExpValidator.--
org.exolab.castor.xml.strictelements - Specifies whether to apply strictness to - elements when unmarshalling. When enabled, the - existence of elements in the XML document, which - cannot be mapped to a class, causes a {@link - SAXException} to be thrown. If set to false, - these 'unknown' elements are ignored. - - false - or - true - - false - -
- org.exolab.castor.xml.loadPackageMappings - - Specifies whether the ClassDescriptorResolver - should (automatically) search for and consult - with package mapping files ( - .castor.xml - ) to retrieve class descriptor information - - false - or - true - - true - - 1.0.2 -
- org.exolab.castor.xml.serializer.factory - - Specifying what XML serializers factory to use. - A class name - org.exolab.castor.xml.XercesXMLSerializerFactory - - 1.0 -
- org.exolab.castor.xml.lenient.sequence.order - - Specifies whether sequence order validation - should be lenient. - - false - or - true - - false - - 1.1 -
- org.exolab.castor.xml.lenient.id.validation - - Specifies whether id/href validation should be - lenient. - - false - or - true - - false - - 1.1 -
org.exolab.castor.xml.proxyInterfaces - Specifies whether or not to search for an proxy - interface at marshalling. If property is not - empty the objects to be marshalled will be - searched if they implement one of the given - interface names. If the interface is - implemented, the superclass will be marshalled - instead of the class itself. - A list of proxy interfaces- - 1.1.3 -
- org.exolab.castor.xml.lenient.integer.validation - - Specifies whether validation for Java properties - generated from <xs:integer> should be - lenient, i.e. allow for - int - s as well. - - false - or - true - - false - - 1.2.1 -
org.exolab.castor.xml.version - Specifies the XML document version number to be used - during marshalling; defaults to 1.0. - - 1.0 - or - 1.1 - - 1.0 - - 1.3.2 -

[Note]Note
- As of Castor 1.3.3, the default values for org.exolab.castor.sax.features - and org.exolab.castor.sax.features-to-disable have changed to include/disable - selected features. -

1.5.3. Accessing the properties from within code

- As of Castor 1.1, it is possible to read and set the value of properties programmatically using the - getProperty(String) and setProperty(String,String) - on the following classes: -

  • - org.exolab.castor.xml.Unmarshaller -

  • - org.exolab.castor.xml.Marshaller -

  • - org.exolab.castor.xml.XMLContext -

- Whilst using the setter methods on the first two classes will change the settings of the respective instances only, - using the setProperty() method on the org.exolab.castor.xml.XMLContext - class will change the configuration globally, and affect all org.exolab.castor.xml.Unmarshaller - and org.exolab.castor.xml.Marshaller instances created thereafter using the - org.exolab.castor.xml.XMLContext.createUnmarshaller() and - org.exolab.castor.xml.XMLContext.createMarshaller() methods. -

1.6. Castor XML - Tips & Tricks

1.6.1. Logging and Tracing

When developing using Castor, we recommend that you use the various - setLogWriter methods to get detailed information and error - messages.

Using a logger with org.exolab.castor.mapping.Mapping will - provide detailed information about mapping decisions made by Castor and - will show the SQL statements being used.

Using a logger with org.exolab.castor.jdo.JDO will provide - trace messages that show when Castor is loading, storing, creating and - deleting objects. All database operations will appear in the log; if an - object is retrieved from the cache or is not modified, there will be no - trace of load/store operations.

Using a logger with org.exolab.castor.xml.Unmarshaller will - provide trace messages that show conflicts between the XML document and - loaded objects.

A simple trace logger can be obtained from - org.exolab.castor.util.Logger. This logger uses the - standard output stream, but prefixes each line with a short message - that indicates who generated it. It can also print the time and date of - each message. Since logging is used for warning messages and simple - tracing, Castor does not require a sophisticated logging mechanism.

Interested in integratating Castor's logging with Log4J? Then see - - this question in the JDO FAQ.

1.6.2. Indentation

By default the marshaler writes XML documents without indentation. When - developing using Castor or when debugging an application that uses - Castor, it might be desireable to use indentation to make the XML - documents human-readable. To turn indentation on, modify the Castor - properties file, or create a new properties file in the classpath - (named castor.properties) with the following content:

-org.exolab.castor.indent=true
-      

Indentation inflates the size of the generated XML documents, and also - consumes more CPU. It is recommended not to use indentation in a - production environment.

1.6.3. XML:Marshal validation

It is possible to disable the validation in the marshaling framework - by modifying the Castor properties file or by creating a new - properties file in the classpath (named castor.properties) - with the following content:

- org.exolab.castor.marshalling.validation=false
-        

1.6.4. NoClassDefFoundError

- Check your CLASSPATH, check it often, there is no reason not to! -

1.6.5. Mapping: auto-complete

[Note]Note

This only works with Castor-XML.

- To save time when writing your mappings, try using the auto-complete - attribute of class. When using auto-complete, Castor will introspect - your class and automatically fill in any missing fields. -

- Example: -

-<class name="com.acme.Foo" auto-complete="true"/>
-          

-

- This is also compatible with generated descriptor files. You can use a mapping file - to override some of the behavior of a compiled descriptor by using auto-complete.

[Note]Note

Be careful to make sure you use the exact field name as specified - in the generated descriptor file in order to modify the behavior of the field descriptor! - Otherwise, you'll probably end up with two fields being marshaled! -

1.6.6. Create method

- Castor requires that classes have a public, no-argument constructor - in order to provide the ability to marshal & unmarshal objects of that type. -

- create-method is an optional attribute to the <field> mapping - element that can be used to overcome this restriction in cases where you - have an existing object model that consists of, say, singleton classes - where public, no-argument constructors must not be present by definition. -

- Assume for example that a class "A" that you want to be able - to unmarshal uses a singleton class as one of its properties. When - attempting to unmarshal class "A", you should get an exception - because the singleton property has no public no-arg constructor. - Assuming that a reference to the singleton can be obtained via a static - getInstance() method, you can add a "create method" to class A - like this: -

- public MySingleton getSingletonProperty() {
-    return MySingleton.getInstance();
- }
-      

- and in the mapping file for class A, you can define - the singleton property like this: -

- <field name="mySingletonProperty"
-       type="com.u2d.MySingleton"
-       create-method="getSingletonProperty">
-    <bind-xml name="my-singleton-property" node="element" />
- </field>

- This illustrates how the create-method attribute is quite a useful - mechanism for dealing with exceptional situations where you might - want to take advantage of marshaling even when some classes do not - have no-argument public constructors. -

[Note]Note

- As of this writing, the specified create-method must - exist as a method in the current class (i.e. the class being described - by the current <class> element). In the future it may be possible - to use external static factory methods. -

1.6.7. MarshalListener and UnmarshalListener

- Castor allows control on the object being marshaled or unmarshaled by - a set of two listener interfaces: MarshalListener and UnmarshalListener. -

- The MarshalListener interface located in org.exolab.castor.xml listens to - two different events that are intercepted by the following methods: -

  • preMarshal: this method is called before an object gets marshaled.

  • postMarshal: this method is called once an object has been marshaled.

-

- The UnmarshalListener located also in org.castor.xml listens to - four different events that are intercepted by the following methods: -

  • initialized: this method is called once an object has been instantiated.

  • attributesProcessed: this method is called when the attributes have just been read and processed.

  • fieldAdded: this method is called when an object is added to a parent.

  • unmarshalled: this method is called when an object has been fully unmarshaled

- Note: The UnmarshalListener had been part of org.exolab.castor.xml - but as an extention of this interface had been required a new interface in org.castor.xml - was introduced. Currently the org.exolab.castor.xml.UnmarshalListener interface - can still be used but is deprecated. -

1.7. Castor XML: Writing Custom FieldHandlers

1.7.1. Introduction

- Sometimes we need to deal with a data format that Castor doesn't - support out-of-the-box, such as an unsupported Date/Time - representation, or we want to wrap and unwrap fields in Wrapper - objects to get the desired XML output without changing our object - model. To handle these cases Castor allows specifying a custom - org.exolab.castor.mapping.FieldHandler - which can do these varying conversions during calls to the fields - setter and getter methods. -

[Note]Note

- The - FieldHandler - is the basic interface used by the Castor Framework when - accessing field values or setting them. By specifying a - custom - FieldHandler - in the mapping file we can basically intercept the calls - to retrieve or set a field's value and do whatever - conversions are necessary. -

1.7.2. Writing a simple FieldHandler

- When a writing a FieldHandler handler we need to provide implementations - of the various methods specified in the FieldHandler interface. The main - two methods are the getValue and setValue methods which - will basically handle all our conversion code. The other methods provide - ways to create a new instance of the field's value or reset the field - value. -

-

[Tip]Tip

- It's actually even easier to write custom field handlers if we use - a GeneralizedFieldHandler. See more details in - Section 1.7.3, “Writing a GeneralizedFieldHandler” -

-

- Let's take a look at how to convert a date in the format YYYY-MM-DD using - a custom FieldHandler. We want to marshal the following XML input file text.xml: -

-<?xml version="1.0"?>
-<root>2004-05-10</root>

- - The class we'll be marshalling from and unmarshalling to looks as follows: - -

-import java.util.Date;
-
-public class Root {
-
-    private Date _date;
-
-    public Root() {
-        super();
-    }
-
-    public Date getDate() {
-        return _date;
-    }
-
-
-    public void setDate(final Date date) {
-        _date = date;
-    }
-         

- - So we need to write a custom FieldHandler that takes the input String - and converts it into the proper java.util.Date instance: - -

-import org.exolab.castor.mapping.FieldHandler;
-import org.exolab.castor.mapping.FieldDescriptor;
-import org.exolab.castor.mapping.ValidityException;
-
-import java.text.ParseException;
-import java.text.SimpleDateFormat;
-import java.util.Date;
-
-/**
- * The FieldHandler for the Date class
- *
- */
-public class MyDateHandler implements FieldHandler
-{
-
-    private static final String FORMAT = "yyyy-MM-dd";
-
-    /**
-     * Creates a new MyDateHandler instance
-     */
-    public MyDateHandler() {
-        super();
-    }
-
-    /**
-     * Returns the value of the field from the object.
-     *
-     * @param object The object
-     * @return The value of the field
-     * @throws IllegalStateException The Java object has changed and
-     *  is no longer supported by this handler, or the handler is not
-     *  compatible with the Java object
-     */
-    public Object getValue(final Object object) throws IllegalStateException {
-        Root root = (Root)object;
-        Date value = root.getDate();
-        if (value == null) return null;
-        SimpleDateFormat formatter = new SimpleDateFormat(FORMAT);
-        Date date = (Date)value;
-        return formatter.format(date);
-    }
-
-
-    /**
-     * Sets the value of the field on the object.
-     *
-     * @param object The object
-     * @param value The new value
-     * @throws IllegalStateException The Java object has changed and
-     *  is no longer supported by this handler, or the handler is not
-     *  compatible with the Java object
-     * @throws IllegalArgumentException The value passed is not of
-     *  a supported type
-     */
-    public void setValue(Object object, Object value) 
-       throws IllegalStateException, IllegalArgumentException {
-       
-        Root root = (Root)object;
-        SimpleDateFormat formatter = new SimpleDateFormat(FORMAT);
-        Date date = null;
-        try {
-            date = formatter.parse((String)value);
-        }
-        catch(ParseException px) {
-            throw new IllegalArgumentException(px.getMessage());
-        }
-        root.setDate(date);
-    }
-
-
-    /**
-     * Creates a new instance of the object described by this field.
-     *
-     * @param parent The object for which the field is created
-     * @return A new instance of the field's value
-     * @throws IllegalStateException This field is a simple type and
-     *  cannot be instantiated
-     */
-    public Object newInstance(Object parent) throws IllegalStateException {
-        //-- Since it's marked as a string...just return null,
-        //-- it's not needed.
-        return null;
-    }
-
-
-    /**
-     * Sets the value of the field to a default value.
-     *
-     * Reference fields are set to null, primitive fields are set to
-     * their default value, collection fields are emptied of all
-     * elements.
-     *
-     * @param object The object
-     * @throws IllegalStateException The Java object has changed and
-     *  is no longer supported by this handler, or the handler is not
-     *  compatible with the Java object
-     */
-    public void resetValue(Object object) throws IllegalStateException, IllegalArgumentException {
-        ((Root)object).setDate(null);
-    }
-}
-       

- -

[Tip]Tip

The newInstance method should return null for immutable types.

- -

[Note]Note

- There is also an - org.exolab.castor.mapping.AbstractFieldHandler - that we can extend instead of implementing FieldHandler directly. - Not only do we not have to implement deprecated methods, but we can also - gain access to the FieldDescriptor used by Castor. -

- - In order to tell Castor that we want to use our Custom FieldHandler - we must specify it in the mapping file mapping.xml: - -

-
-<?xml version="1.0"?>
-<mapping>
-  <class name="Root">
-     <field name="date" type="string" handler="MyDateHandler">
-        <bind-xml node="text"/>
-     </field>
-  </class>
-</mapping>
-
-        

- - We can now use a simple Test class to unmarshal our XML document: - -

-import java.io.*;
-import org.exolab.castor.xml.*;
-import org.exolab.castor.mapping.*;
-
-public class Test {
-
-    public static void main(String[] args) {
-	    try {
-
-	       //--load mapping
-	       Mapping mapping = new Mapping();
-	       mapping.loadMapping("mapping.xml");
-
-           System.out.println("unmarshalling root instance:");
-           System.out.println();
-
-           Reader reader = new FileReader("test.xml");
-           Unmarshaller unmarshaller = new Unmarshaller(Root.class);
-           unmarshaller.setMapping(mapping);
-           Root root = (Root) unmarshaller.unmarshal(reader);
-           reader.close();
-
-           System.out.println("Root#getDate : " + root.getDate());
-	    }
-	    catch (Exception e) {
-	        e.printStackTrace();
-	    }
-    }
-}
-
-         

- - Now simply compile the code and run! - -

-% java Test
-unmarshalling root instance:
-
-Root#getDate : Mon May 10 00:00:00 CDT 2004
-         

- - After running our test program we can see that Castor invoked our - custom FieldHandler and we got our properly formatted date in our - Root.class. - -

1.7.3. Writing a GeneralizedFieldHandler

- A org.exolab.castor.mapping.GeneralizedFieldHandler - is an extension of FieldHandler interface - where we simply write the conversion methods and Castor will automatically - handle the underlying get/set operations. This allows us to re-use the - same FieldHandler for fields from different classes that require the - same conversion. -

[Note]Note

- Note: - Currently the GeneralizedFieldHandler cannot be used from a - binding-file for use with the SourceGenerator, an - enhancement patch will be checked into SVN for this feature, - shortly after 0.9.6 final is released. -

- The same FieldHandler we used above can be written as a GeneralizedFieldHandler - as such: -

-
-import org.exolab.castor.mapping.GeneralizedFieldHandler;
-import org.exolab.castor.mapping.FieldDescriptor;
-
-import java.text.ParseException;
-import java.text.SimpleDateFormat;
-import java.util.Date;
-
-/**
- * The FieldHandler for the Date class
- *
- */
-public class MyDateHandler extends GeneralizedFieldHandler {
-
-    private static final String FORMAT = "yyyy-MM-dd";
-
-    /**
-     * Creates a new MyDateHandler instance
-     */
-    public MyDateHandler() {
-        super();
-    }
-
-    /**
-     * This method is used to convert the value when the
-     * getValue method is called. The getValue method will
-     * obtain the actual field value from given 'parent' object.
-     * This convert method is then invoked with the field's
-     * value. The value returned from this method will be
-     * the actual value returned by getValue method.
-     *
-     * @param value the object value to convert after
-     *  performing a get operation
-     * @return the converted value.
-     */
-    public Object convertUponGet(Object value) {
-        if (value == null) return null;
-        SimpleDateFormat formatter = new SimpleDateFormat(FORMAT);
-        Date date = (Date)value;
-        return formatter.format(date);
-    }
-
-
-    /**
-     * This method is used to convert the value when the
-     * setValue method is called. The setValue method will
-     * call this method to obtain the converted value.
-     * The converted value will then be used as the value to
-     * set for the field.
-     *
-     * @param value the object value to convert before
-     *  performing a set operation
-     * @return the converted value.
-     */
-    public Object convertUponSet(Object value) {
-        SimpleDateFormat formatter = new SimpleDateFormat(FORMAT);
-        Date date = null;
-        try {
-            date = formatter.parse((String)value);
-        }
-        catch(ParseException px) {
-            throw new IllegalArgumentException(px.getMessage());
-        }
-        return date;
-    }
-
-    /**
-     * Returns the class type for the field that this
-     * GeneralizedFieldHandler converts to and from. This
-     * should be the type that is used in the
-     * object model.
-     *
-     * @return the class type of of the field
-     */
-    public Class getFieldType() {
-        return Date.class;
-    }
-
-    /**
-     * Creates a new instance of the object described by
-     * this field.
-     *
-     * @param parent The object for which the field is created
-     * @return A new instance of the field's value
-     * @throws IllegalStateException This field is a simple
-     *  type and cannot be instantiated
-     */
-    public Object newInstance(Object parent) throws IllegalStateException
-    {
-        //-- Since it's marked as a string...just return null,
-        //-- it's not needed.
-        return null;
-    }
-
-}
-
-        

- - Everything else is the same. So we can re-run our test case using this - GeneralizedFieldHandler and we'll get the same result. The main difference - is that we implement the convertUponGet and convertUponSet - methods. -

- Notice that we never reference the Root - class in our GeneralizedFieldHandler. This allows us - to use the same exact FieldHandler for any field - that requires this type of conversion. -

1.7.4. Use ConfigurableFieldHandler for more flexibility

- In some situations, the GeneralizedFieldHandler might not - provide sufficient flexibility. Suppose your XML document uses more than one - date format. You could solve this by creating a GeneralizedFieldHandler - subclass per date format, but that would lead to code duplication, which in - itself is not desirable. -

- A ConfigurableFieldHandler is a FieldHandler - that can be configured in the mapping file - with any kind and any number of parameters. You can simply configure two (or more) - instances of the same ConfigurableFieldHandler class - with different date format patterns. - Here's a mapping file that uses a ConfigurableFieldHandler - to marshal and unmarshal the - date field, similar to the preceding examples: - -

-<?xml version="1.0"?>
-<mapping>
-   
-   <field-handler name="myHandler" class="FieldHandlerImpl">
-      <param name="date-format" value="yyyyMMddHHmmss"/>
-   </field-handler>
-   
-   <class name="Root">
-      <field name="date" type="string" handler="myHandler"/>
-   </class>
-
-</mapping>
-         	

- - The field-handler element defines the - ConfigurableFieldHandler. - The class must be an implementation of the - org.exolab.castor.mapping.ConfigurableFieldHandler - interface. This - instance is configured with a date format. However, each implementation can decide - which, and how many parameters to use. -

- The field handler instance is referenced by the - field element, using - the handler attribute. -

- Here's the ConfigurableFieldHandler implementation: -

-import java.text.ParseException;
-import java.text.SimpleDateFormat;
-import java.util.Date;
-
-import java.text.ParseException;
-import java.text.SimpleDateFormat;
-import java.text.DateFormat;
-import java.util.Date;
-import java.util.Properties;
-
-import org.exolab.castor.mapping.ConfigurableFieldHandler;
-import org.exolab.castor.mapping.FieldHandler;
-import org.exolab.castor.mapping.GeneralizedFieldHandler;
-import org.exolab.castor.mapping.ValidityException;
-
-public class FieldHandlerImpl implements FieldHandler, ConfigurableFieldHandler {
-
-    private DateFormat formatter;
-
-    public void setConfiguration(final Properties config) throws ValidityException {
-    	String pattern = config.getProperty("date-format");
-    	if (pattern == null) {
-    		throw new ValidityException("Required parameter \"date-format\" is missing for FieldHandlerImpl.");
-    	}
-    	try {
-    		formatter = new SimpleDateFormat(pattern);
-    	} catch (IllegalArgumentException e) {
-    		throw new ValidityException("Pattern \""+pattern+"\" is not a valid date format.");
-    	}
-    }
-
-    /**
-     * Returns the value of the field from the object.
-     *
-     * @param object The object
-     * @return The value of the field
-     * @throws IllegalStateException The Java object has changed and
-     *  is no longer supported by this handler, or the handler is not
-     *  compatible with the Java object
-     */
-    public Object getValue(Object object) throws IllegalStateException {
-        Root root = (Root)object;
-        Date value = root.getDate();
-        if (value == null) return null;
-        return formatter.format(value);
-    }
-
-    /**
-     * Sets the value of the field on the object.
-     *
-     * @param object The object
-     * @param value The new value
-     * @throws IllegalStateException The Java object has changed and
-     *  is no longer supported by this handler, or the handler is not
-     *  compatible with the Java object
-     * @throws IllegalArgumentException The value passed is not of
-     *  a supported type
-     */
-    public void setValue(Object object, Object value)
-        throws IllegalStateException, IllegalArgumentException {
-        Root root = (Root)object;
-        Date date = null;
-        try {
-            date = formatter.parse((String)value);
-        }
-        catch(ParseException px) {
-            throw new IllegalArgumentException(px.getMessage());
-        }
-        root.setDate(date);
-    }
-    
-    /**
-     * Creates a new instance of the object described by this field.
-     *
-     * @param parent The object for which the field is created
-     * @return A new instance of the field's value
-     * @throws IllegalStateException This field is a simple type and
-     *  cannot be instantiated
-     */
-    public Object newInstance(Object parent)
-        throws IllegalStateException
-    {
-        //-- Since it's marked as a string...just return null,
-        //-- it's not needed.
-        return null;
-    }
-
-    /**
-     * Sets the value of the field to a default value.
-     *
-     * Reference fields are set to null, primitive fields are set to
-     * their default value, collection fields are emptied of all
-     * elements.
-     *
-     * @param object The object
-     * @throws IllegalStateException The Java object has changed and
-     *  is no longer supported by this handler, or the handler is not
-     *  compatible with the Java object
-     */
-    public void resetValue(Object object)
-        throws IllegalStateException, IllegalArgumentException {
-        ((Root)object).setDate(null);
-    }
-
-}
-      	

- - This implementation is similar to the first - MyDateHandler example - on this page, except that is adds a - setConfiguration method as - specified by the - ConfigurableFieldHandler interface. All parameters - that are configured in the mapping file will be passed in as a - Properties - object. The implementing method is responsible for processing - the configuration data. -

- As a convenience, - org.exolab.castor.mapping.AbstractFieldHandler - already - implements ConfigurableFieldHandler. However, - the setConfiguration - method is not doing anything. Any subclass of - AbstractFieldHandler only - has to override this method to leverage the configuration capabilities. Since - - AbstractFieldHandler and its subclass - GeneralizedFieldHandler are - useful abstract classes, you'd probably want to use them anyway. It eliminates the - need to implement the - ConfigurableFieldHandler interface yourself. -

1.7.5. Reuse a ConfigurableFieldHandler for more than one field definition

- Imagine a scenario where you want to use above ConfigurableFieldHandler - instance for more than one field - a valid use case as it promotes reuse. -

-<?xml version="1.0"?>
-<mapping>
-   
-   <field-handler name="myFirstHandler" class="FieldHandlerImpl">
-      <param name="date-format" value="yyyyMMddHHmmss"/>
-   </field-handler>
-
-   <field-handler name="mySecondHandler" class="FieldHandlerImpl">
-      <param name="date-format" value="yyyy-MM-ddHH:mm:ss"/>
-   </field-handler>
-   
-   <class name="Root">
-      <field name="firstDate" type="string" handler="myFirstHandler"/>
-      <field name="secondDate" type="string" handler="myFirstHandler"/>
-      <field name="thirdDate" type="string" handler="mySecondHandler"/>
-   </class>
-
-</mapping>
-         

- For this to work, there's one more thing you will have to do: your - ConfigurableFieldHandler implementation has to implement the - ClonableFieldHandlerMarker interface and implement - the copyFieldHandler() method. As indicated by the name, - please return a clone/copy of your FieldHandler instance ... and you - are all set. -

- A simplified sample implementation could look as follows, extending the - FieldHandlerImpl class from the previous section: -

-public class FieldHandlerImpl implements FieldHandler, ConfigurableFieldHandler, ClonableFieldHandlerMarker {
-
-    private DateFormat format;
-
-    ...
-
-    public void setFormat(DateFormat format) {
-        this.format = format;
-    }
-
-    @Override
-    public FieldHandler copyFieldHandler() {
-        FieldHandlerImpl handler = new FieldHandlerImpl();
-        handler.setFormat(this.getFormat());
-        return handler;
-    }
-    
-}    	
-    	

1.7.6. No Constructor, No Problem!

- A number of classes such as type-safe enum style classes have no constructor, but - instead have some sort of static factory method used for converting a string value - into an instance of the class. With a custom FieldHandler we can allow Castor to - work nicely with these types of classes. -

-

[Tip]Tip

- Castor XML automatically supports these types of classes if they have a specific - method: -

-public static {Type} valueOf(String)
-          

-

-

[Note]Note

We're working on the same support for Castor JDO

-

- Even though Castor XML supports the "valueOf" method type-safe enum style classes, we'll - show you how to write a custom handler for these classes anyway since it's useful for - any type of class regardless of the name of the factory method. -

- Let's look at how to write a handler for the following type-safe enum style class, - which was actually generated by Castor XML (javadoc removed for brevity): -

-import java.io.Serializable;
-import java.util.Enumeration;
-import java.util.Hashtable;
-
-public class Color implements java.io.Serializable {
-
-    public static final int RED_TYPE = 0;
-
-    public static final Color RED = new Color(RED_TYPE, "red");
-
-    public static final int GREEN_TYPE = 1;
-
-    public static final Color GREEN = new Color(GREEN_TYPE, "green");
-
-    public static final int BLUE_TYPE = 2;
-
-    public static final Color BLUE = new Color(BLUE_TYPE, "blue");
-
-    private static java.util.Hashtable _memberTable = init();
-
-    private int type = -1;
-
-    private java.lang.String stringValue = null;
-
-
-    private Color(int type, java.lang.String value) {
-        super();
-        this.type = type;
-        this.stringValue = value;
-    } //-- test.types.Color(int, java.lang.String)
-
-
-    public static java.util.Enumeration enumerate()
-    {
-        return _memberTable.elements();
-    } //-- java.util.Enumeration enumerate()
-
-    public int getType()
-    {
-        return this.type;
-    } //-- int getType()
-
-    private static java.util.Hashtable init()
-    {
-        Hashtable members = new Hashtable();
-        members.put("red", RED);
-        members.put("green", GREEN);
-        members.put("blue", BLUE);
-        return members;
-    } //-- java.util.Hashtable init()
-
-    public java.lang.String toString()
-    {
-        return this.stringValue;
-    } //-- java.lang.String toString()
-
-    public static Color valueOf(java.lang.String string)
-    {
-        Object obj = null;
-        if (string != null) obj = _memberTable.get(string);
-        if (obj == null) {
-            String err = "'" + string + "' is not a valid Color";
-            throw new IllegalArgumentException(err);
-        }
-        return (Color) obj;
-    } //-- test.types.Color valueOf(java.lang.String)
-
-}
-       

- - The GeneralizedFieldHandler for the above Color class is as follows - (javadoc removed for brevity): - -

-import org.exolab.castor.mapping.GeneralizedFieldHandler;
-import org.exolab.castor.mapping.FieldDescriptor;
-
-/**
- * The FieldHandler for the Color class
-**/
-public class ColorHandler
-    extends GeneralizedFieldHandler
-{
-
-    public ColorHandler() {
-        super();
-    }
-
-    public Object convertUponGet(Object value) {
-        if (value == null) return null;
-        Color color = (Color)value;
-        return color.toString();
-    }
-
-
-    public Object convertUponSet(Object value) {
-        return Color.valueOf((String)value);
-    }
-
-    public Class getFieldType() {
-        return Color.class;
-    }
-
-    public Object newInstance( Object parent )
-        throws IllegalStateException
-    {
-        //-- Since it's marked as a string...just return null,
-        //-- it's not needed.
-        return null;
-    }
-
-}
-     

-

- That's all there really is to it. Now we just need to hook this up to our mapping file - and run a sample test. -

- If we have a root class Foo as such: -

-public class Foo {
-
-    private Color _color = null;
-    private int _size = 0;
-    private String _name = null;
-
-    public Foo() {
-        super();
-    }
-
-    public Color getColor() {
-        return _color;
-    }
-
-    public String getName() {
-        return _name;
-    }
-
-    public int getSize() {
-        return _size;
-    }
-
-    public void setColor(Color color) {
-        _color = color;
-    }
-
-    public void setName(String name) {
-        _name = name;
-    }
-
-    public void setSize(int size) {
-        _size = size;
-    }
-
-}
-       

- Our mapping file would be the following: -

-<?xml version="1.0"?>
-<mapping>
-  <class name="Foo">
-     <field name="size" type="integer">
-        <bind-xml node="element"/>
-     </field>
-     <field name="name" type="string"/>
-     <field name="color" type="string" handler="ColorHandler"/>
-  </class>
-</mapping>
-       

- - We can now use our custom FieldHandler to unmarshal the following xml input: -

-<?xml version="1.0"?>
-<foo>
-   <name>MyFoo</name>
-   <size>345</size>
-   <color>blue</color>
-</foo>
-       

- - A sample test class is as follows: -

-
-import java.io.*;
-import org.exolab.castor.xml.*;
-import org.exolab.castor.mapping.*;
-
-public class Test {
-
-    public static void main(String[] args) {
-	    try {
-
-	        //--load mapping
-	        Mapping mapping = new Mapping();
-	        mapping.loadMapping("mapping.xml");
-
-            System.out.println("unmarshalling Foo:");
-            System.out.println();
-
-            Reader reader = new FileReader("test.xml");
-            Unmarshaller unmarshaller = new Unmarshaller(Foo.class);
-            unmarshaller.setMapping(mapping);
-            Foo foo = (Foo) unmarshaller.unmarshal(reader);
-            reader.close();
-
-            System.out.println("Foo#size : " + foo.getSize());
-            System.out.print("Foo#color: ");
-            if (foo.getColor() == null) {
-                System.out.println("null");
-            }
-            else {
-                System.out.println(foo.getColor().toString());
-            }
-
-            PrintWriter pw = new PrintWriter(System.out);
-            Marshaller marshaller = new Marshaller(pw);
-            marshaller.setMapping(mapping);
-            marshaller.marshal(foo);
-            pw.flush();
-	    }
-	    catch (Exception e) {
-	        e.printStackTrace();
-	    }
-    }
-}
-        

-

1.7.7. Collections and FieldHandlers

-

[Note]Note

- With Castor 0.9.6 and later, the GeneralizedFieldHandler - automatically supports iterating over the items of a collection and passing them - one-by-one to the convertUponGet. -

- For backward compatibility or to handle the collection iteration yourself, - simply add the following to the constructor of your - GeneralizedFieldHandler implementation: - -

-setCollectionIteration(false);
-            

- -

-

- If you're going to be using custom field handlers for collection fields with - a GeneralizedFieldHandler using versions of Castor - prior to 0.9.6, then you'll need to handle the collection iteration yourself in the - convertUponGet method. -

- If you're not using a GeneralizedFieldHandler, then - you'll need to handle the collection iteration yourself in the - FieldHandler#getValue() method. -

-

[Tip]Tip

- Since Castor incrementally adds items to collection fields, there - usually is no need to handle collections directly in the - convertUponSet method (or the setValue() for those - not using GeneralizedFieldHandler). -

-

1.8. Best practice

- There are many users of Castor XML who (want to) use Castor XML in in - high-volume applications. To fine-tune Castor for such an environment, - it is necessary to understand many of the product features in detail - and to be able to balance their use according to the application needs. - Even though many of these features are documented in various places, - people frequently asked for a 'best practices' document, a document - that brings together these technical topics in one place and that - presents them as a set of easy-to-use recipes. -

- Please be aware that this document is under construction. - But still we believe that this document -- even when in its conception - phase -- provides valuable information to users of Castor XML. -

1.8.1. General

1.8.1.1. Source Generator

- It is not generally recommended to generate code into the default - package, especially since code in the default package cannot be - referenced from code in any other package. -

- Additionally, we recommend that generated code go into a different - package then the code that makes use of the generated code. For - example, if your application uses Castor to process an XML - configuration file that is used by code in the package - org.example.userdialog then we do not recommend that the - generated code also go into that package. However, it would be - reasonable to generate source to process this XML configuration file - into the package org.example.userdialog.xmlconfig. -

1.8.2. Performance Considerations

1.8.2.1. General

- Creating instances of org.exolab.castor.xml.Marshaller and - org.exolab.castor.xml.Unmarshaller for the purpose of XML - data binding is easy to achieve at the API usage level. However, - details of API use have an impact on application performance; each - instance creation involves setup operations. -

- This is generally not an issue for one-off invocations; however, in a - multi-threaded, high volume use scenario this can be become a serious - issue. Internally, Castor uses a collection of Descriptor - classes to keep information about the Java entities to be marshaled - and unmarshaled. With each instance creation of (Un)Marshaller, this - collection will be built from scratch (again and again). -

- To avoid this initial configuration 'penalty', Castor allows you to - cache these Descriptor classes through its - org.exolab.castor.xml.ClassDescriptorResolver component. - This cache allows reuse of these Descriptor instances between - (Un)Marshaller invocations. -

1.8.2.2. Use of XMLContext - With and without a mapping file

- With the introduction of the new org.exolab.castor.xml.XMLContext - class, the use of a - ClassDescriptorResolver has been greatly simplified in that such - an instance is managed by the XMLContext per default. As such, there's no need - to pass a ClassDescriptorResolver instance to - Marshaller/ - Unmarshaller instances anymore, as this is done automatically - when such instances are created through - -

  • org.exolab.castor.xml.XMLContext.createMarshaller()

  • org.exolab.castor.xml.XMLContext.createUnmarshaller()

- - For example, to create a Marshaller instance that is pre-configured - with an instance of ClassDescriptorResolver, use the following code - fragment: -

-Mapping mapping = new Mapping();
-mapping.loadMapping(new InputSource(...));
-        
-XMLContext context = new XMLContext();
-context.addMapping(mapping);
-
-Marshaller marshaller = context.createMarshaller();

- In the case where no mapping file is used, it is still possible - to instruct the org.exolab.castor.xml.XMLContext to - pre-load class descriptors for a given - package via the methods enlisted below. -

- As above, create an instance of org.exolab.castor.xml.XMLContext - and configure it according to your needs as shown below: -

-XMLContext context = new XMLContext();
-context.addPackage("your.package.name");
-
-Marshaller marshaller = context.createMarshaller();

- The org.exolab.castor.xml.XMLContext class - provides for various methods to load class descriptors for individual classes - and/or packages. -

Table 1.16. Methods on XMLContext to create Un-/Marshaller objects

MethodDescription.castor.cdr
addClass(Class) on org.exolab.castor.xml.XMLContextLoads the class descriptor for one class.n/a
addClass(Class[]) on org.exolab.castor.xml.XMLContextLoads the class descriptors for a collection of classes.n/a
addPackage(String) on org.exolab.castor.xml.XMLContextLoads the class descriptor for all classes in the defined package.Required
addPackages(String[]) on org.exolab.castor.xml.XMLContextLoads the class descriptor for all classes in the defined packages.Required

[Note]Note

- For some of the methods, pre-loading class descriptords will only work if you provide - the .castor.cdr file with your generated classes (as generated by the XML - code generator). If no such file is shipped, Castor will not be able to pre-load the - descriptors, and will fall back to its default descriptor loading mechanism. -

1.8.2.3. Use of Marshaller/Unmarshaller

1.8.2.3.1. Use of ClassDescriptorResolver

- When you do not use the XMLContext class, you will have - to manually manage your - org.exolab.castor.xml.XMLClassDescriptorResolver. To do - so, first create an instance of - org.exolab.castor.xml.XMLClassDescriptorResolver - using the following code fragment: -

-XMLClassDescriptorResolver classDescriptorResolver = 
-   (XMLClassDescriptorResolver) ClassDescriptorResolverFactory.createClassDescriptorResolver(BindingType.XML);
-MappingUnmarshaller mappingUnmarshaller = new MappingUnmarshaller();
-MappingLoader mappingLoader = 
-   mappingUnmarshaller.getMappingLoader(mapping, BindingType.XML);
-classDescriptorResolver.setMappingLoader(mappingLoader);

and then reuse this instance as shown below:

-   Unmarshaller unmarshaller = new Unmarshaller();
-   unmarshaller.setResolver(classDescriptorResolver);
-   unmarshaller.unmarshal(...);
1.8.2.3.2. Use of ClassDescriptorResolver for pre-loading compiled descriptors

- When you are not using a mapping file, but you have generated Java - classes and their corresponding descriptor classes using the Castor - XML code generator, you might want to instruct the - org.exolab.castor.xml.XMLClassDescriptorResolver to - pre-load class descriptors (as enumerated explicitly - or for a given package) using various add* methods. -

- As above, create an instance of - org.exolab.castor.xml.XMLClassDescriptorResolver">XMLClassDescriptorResolver - using the following code fragment: -

-   XMLClassDescriptorResolver classDescriptorResolver = (XMlClassDescriptorResolver)
-      ClassDescriptorResolverFactory.createClassDescriptorResolver(BindingType.XML);
-   classDescriptorResolver.setClassLoader(...);
-   classDescriptorResolver.addClass("your.package.name.A");
-   classDescriptorResolver.addClass("your.package.name.B");
-   classDescriptorResolver.addClass("your.package.name.C");
-           

- and then reuse this instance as shown above. Alternatively, add complete - packages to the resolver configuration as follows: -

-   XMLClassDescriptorResolver classDescriptorResolver = (XMlClassDescriptorResolver)
-      ClassDescriptorResolverFactory.createClassDescriptorResolver(BindingType.XML);
-   classDescriptorResolver.setClassLoader(...);
-   classDescriptorResolver.addPackage("your.package.name");
-           

- The org.exolab.castor.xml.XMLClassDescriptorResolver - interface provides various other methods to load class descriptors for individual - classes and/or packages. -

Table 1.17. blah

MethodDescriptionRequires .castor.cdr
addClass(String)Loads the class descriptor for one class.No
addClass(String[])Loads the class descriptors for a collection of classes.No
addPackage(String)Loads the class descriptors for all classes in the package defined.Yes
addPackages(String[])Loads the class descriptors for all classes in the package defined.Yes

[Note]Note

- For some of the methods, pre-loading class descriptords will only work if you provide - the .castor.cdr file with your generated classes (as generated by the XML - code generator). If no such file is shipped, Castor will not be able to pre-load the - descriptors, and will fall back to its default descriptor loading mechanism. -

1.9. Castor XML - HOW-TO's

1.9.1. Introduction

- This is a collection of HOW-TOs. The Castor project is - actively seeking additional HOW-TO contributors to expand - this collection. For information on how to do that, please - see 'How to write a How-to'. -

1.9.2. Documentation

  • - How to Author a How-To - (Author wanted!) -

  • - How to Author an FAQ - (Author wanted!) -

  • - How to Author a Code Snippet - (Author wanted!) -

  • - How to Author Core Documentation - (Author wanted!) -

1.9.3. Contribution

1.9.5. Validation

1.10. XML FAQ

- This section provides answers to frequently answered questions, i.e. - questions that have been asked repeatedly on one of the mailing - lists. Please check with these F.A.Q.s frequently, as addressing questions - that have been answered in the past already again and again places - an unnecessary burden on the committers/contributors. -

- This section is structured along the lines of the following areas ... - -

1.10.1. General

1.10.1.1. How do I set the encoding?

- Create a new instance of the - Marshaller - class and use the - setEncoding - method. You'll also need to make sure the encoding for - the Writer is set properly as well: -

- ...
- String encoding = "ISO-8859-1";
- FileOutputStream fos = new FileOutputStream("result.xml");
- OutputStreamWriter osw = new OuputStreamWriter(fos, encoding);
- Marshaller marshaller = new Marshaller(osw);
- marshaller.setEncoding(encoding);
- ...
-			

1.10.1.2.  - I'm getting an error about 'xml' prefix already - declared? -

[Note]Note

For Castor 0.9.5.2 only

- The issue occurs with newer versions of Xerces than the - version 1.4 that ships with Castor. The older version - works OK. For some reason, when the newer version of - Xerces encounters an "xml" prefixed attribute, such as - "xml:lang", it tries to automatically start a prefix - mapping for "xml". Which, in my opinion, is technically - incorrect. They shouldn't be doing that. According to - the w3c, the "xml" prefix should never be declared. -

- The reason it started appearing in the new Castor - (0.9.5.2), is because of a switch to SAX 2 by default - during unmarshaling. -

- Solution: - A built in work-around has been checked into the Castor - SVN and will automatically exist in any post 0.9.5.2 - releases. For those who are using 0.9.5.2 and can't - upgrade, I found a simple workaround (tested with Xerces - 2.5). At first I thought about disabling namespace - processing in Xerces, but then realized that it's - already disabled by default by Castor ... so I have no - idea why they call #startPrefixMapping when namespace - processing has been disabled. But in any event... - explicitly enabling namespace processing seems to fix - the problem: -

- in the - castor.properties - file, change the following line: -

- org.exolab.castor.parser.namespaces=false
-			

to:

- org.exolab.castor.parser.namespaces=true
-			
[Note]Note

- This work-around has only been tested with - Xerces 2.5 and above. -

1.10.1.3. Why is my 'get' method called twice?

- The get method will be called a second time during the - validation process. To prevent this from happening, - simply disable validation on the Marshaller or - Unmarshaller. -

1.10.1.4.  - How can I speed up marshalling/unmarshalling - performance? -

  • Cache the descriptors!

    - import org.exolab.castor.xml.ClassDescriptorResolver;
    - import org.exolab.castor.xml.Unmarshaller;
    - import org.exolab.castor.xml.util.ClassDescriptorResolverImpl;
    - ...
    - ClassDescriptorResolver cdr = new ClassDescriptorResovlerImpl(); 
    - ...
    - Unmarshaller unm = new Unmarshaller(...);
    - unm.setResolver(cdr);
    -					

    - By reusing the same ClassDescriptorResolver any - time you create an Unmarshaller instance, you - will be reusing the existing class descriptors - previously loaded. -

  • Disable validation

    - unm.setValidation(false);
    -					
  • - Reuse objects -

    - To cut down on object creation, you can reuse an - existing object model, but be careful because - this is an experimental feature. Create an - Unmarshaller with your existing root object and - set object reuse to true... -

    - Unmarshaller unm = new
    - Unmarshaller(myObjectRoot);
    -					
    - unm.setReuseObjects(true);
    -					
  • - If you have enabled pretty-printing (indenting), - then disable it. The Xerces Serializer is much - slower with indenting enabled. -

  • - Try changing parsers to something other than - Xerces. -

- There are probably other approaches you can use as well, - but those seem to be the most popular ones. Let us know - if you have a solution that you think we should add - here. -

1.10.1.5.  - How do I ignore elements during unmarshalling? -

  • - Use the - - Unmarshaller#setIgnoreExtraElements() - - method: -

    - Unmarshaller unm = new Unmarshaller(...);
    - unm.setIgnoreExtraElements(true);
    -					

    - If any elements appear in the XML instance that - Castor cannot find mappings for, they will be - skipped. -

  • - You can also set the - - org.exolab.castor.xml.strictelements - - property in the - castor.properties - file: -

    - org.exolab.castor.xml.strictelements=true
    -					

1.10.1.6.  - Where does Castor search for the castor.properties file? -

- Castor loads the castor.properties in the following - order: -

  • - From classpath (usually from the jar file) -

  • From {java.home}/lib (if present)

  • From the local working directory

- Each properties file overrides the previous. So you - don't have to come up with a properties file with all - the properties and values, just the ones you want to - change. This also means you don't have to touch the - properties file found in the jar file. -

[Note]Note

- Note: You can also use - - LocalConfiguration.getInstance().getProperties() - - to change the properties values programatically. -

1.10.1.7.  - Can I programmatically change the properties found in - the castor.properties file? -

- Yes, many of these properties can be set directly on the - Marshaller or Unmarshaller, but you can also use - - LocalConfiguration.getInstance().getProperties() - - to change the properties values programatically. - -

1.10.2. Introspection

1.10.2.1. Can private methods be introspected?

- Castor does not currently support introspection of - private methods. Please make sure proper public - accesssor methods are available for all fields that you - wish to be handled by the Marshalling Framework. -

1.10.3. Mapping

1.10.3.1. My mapping file seems to have no effect!

- Make sure you are not using one of the - static - methods on the Marshaller/Unmarshaller. Any - configuration changes that you make to the Marshaller or - Unmarshaller are not available from the static methods. -

1.10.3.2.  - Are there any tools to automatically create a mapping - file? -

- Yes! We provide one such tool, see - org.exolab.castor.tools.MappingTool - . There are some - 3rd party - tools as well. -

1.10.3.3.  - How do I specify a namespace in the mapping file? -

- For a specific field you can use a QName for the value - of the bind-xml name attribute as such: -

- <bind-xml name="foo:bar" xmlns:foo="http://www.acme.com/foo"/>
-			

- Note: The namespace prefix is only used for - qualification during the loading of the mapping, it is - not used during Marshaling. To map namespace prefixes - during marshaling you currently need to set these via - the Marshaler directly. -

- For a class mapping, use the <map-to> element. For - more information see the - XML Mapping documentation - . -

1.10.3.4.  - How do I prevent a field from being marshaled? -

- Set the - transient - attribute on the <bind-xml> element to true: -

- <bind-xml transient="true"/>
-			

- Note: You can also set transient="true" on the - <field> element. -

1.10.4. Marshalling

1.10.4.1.  - The XML is marshalled on one line, how do I force - line-breaks? -

For all versions of Castor:

- To enable pretty-printing (indenting, line-breaks) just - modify the - - castor.properties - - file and uncomment the following: -

- # True if all documents should be indented on output by default
- #
- #org.exolab.castor.indent=true
-			

- Note: This will slow down the marshalling process -

1.10.4.2. What is the order of the marshalled XML elements?

- If you are using Castor's default introspection to - automatically map the objects into XML, then there is no - guarantee on the order. It simply depends on the order in - which the fields are returned to Castor using the Java - reflection API. -

- Note: If you use a mapping file Castor will generate the XML - in the order in which the mapping file is specified. -

1.10.5. Source code generation

1.10.5.1. Can I use a DTD with the source generator?

- Not directly, however you can convert your DTD to an XML - Schema fairly easily. We provide a tool ( - - org.exolab.castor.xml.dtd.Converter - - ) to do this. You can also use any number of 3rd-party - tools such as XML Spy or XML Authority. -

1.10.5.2.  - My XML output looks incorrect, what could be wrong? -

- Also: I used the source code generator, but all my xml - element names are getting marshaled as lowercase with - hyphens, what's up with that? -

- Solution: - - Are the generated class descriptors compiled? Make sure - they get compiled along with the source code for the - object model. -

1.10.5.3.  - The generated source code has incorrect or missing - imports for imported schema types -

- Example: - Castor generates the following: -

- import types.Foo;
-			

instead of:

- import com.acme.types.Foo;
-			

- This usually happens when the namespaces for the - imported schemas have not been mapped to appropriate - java packages in the - - castorbuilder.properties - - file. -

Solution: -

  • - Make sure the - - castorbuilder.properties - - is in your classpath when you run the - SourceGenerator. -

  • - Uncomment and edit the - - org.exolab.castor.builder.nspackages - - property. Make sure to copy the value of the - imported namespace exactly as it's referred - to in the schema (i.e. trailing slashes and - case-sensitivity matter!). -

-

- For those using 0.9.5.1, you'll need to upgrade due to a - bug that is fixed in later releases. -

1.10.5.4.  - How can I make the generated source code more JDO - friendly? -

For Castor 0.9.4 and above:

- Castor JDO requires a reference to the actual collection - to be returned from the get-method. By default the - source generator does not provide such a method. To - enable such methods to be created, simple add the - following line to your - castorbuilder.properties - file: -

- org.exolab.castor.builder.extraCollectionMethods=true
-			

- Note: The default - castorbuilder.properties - file has this line commented out. Simply uncomment it. -

- Your mapping file will also need to be updated to - include the proper set/get method names. -

1.10.6. Miscellaneous

1.10.6.1.  - Is there a way to automatically create an XML Schema - from an XML instance? -

- Yes! We provide such a tool. Please see - - org.exolab.castor.xml.schema.util.XMLInstance2Schema - - . It's not 100% perfect, but it does a reasonable job. -

1.10.6.2. How to enable XML validation with Castor XML

- To enable XML validation at the parser level, please add - properties to your - castor.properties - file as follows: -

- org.exolab.castor.parser.namespaces=true
- org.exolab.castor.sax.features=http://xml.org/sax/features/validation,\
- http://apache.org/xml/features/validation/schema,\
- http://apache.org/xml/features/validation/schema-full-checking
-			

- Please note that the example given relies on the use of - Apache Xerces, hence the - apache.org - properties; similar options should exist for other - parsers. -

1.10.6.3.  - Why is mapping ignored when using a FieldHandlerFactory -

- When using a custom FieldHandlerFactory as in the - following example -

- Mapping mapping = ... ;
- FieldHandlerFactoyt factory = ...;
- Marshaller m = new Marshaller(writer);
- ClassDescriptorResolverImpl cdr = new ClassDescriptorResolverImpl();
- cdr.getIntrospector().addFieldHandlerFactory(factory);
- m.setResolver(cdr);
- marshaller.setMapping(mapping);
-			

- please make sure that you set the mapping file - after - you set the ClassDescriptorResolver. You will note the - following in the Javadoc for - org.exolab.castor.xml.Marshaller.html#setResolver(org.exolab.castor.xml.ClassDescriptorResolver) - : -

[Note]Note

- Note: - This method will nullify any Mapping currently being - used by this Marshaller -

1.10.7. Serialization

1.10.7.1.  - Is it true that the use of Castor XML mandates - Apache Xerces as - XML parser? -

- Yes and no. It actually depends. When requiring - pretty printing - during marshalling, Castor internally relies on Apache's - Xerces to implement this feature. As such, when not - using this feature, Xerces is not a requirement, and any - JAXP-compliant XML parser can be used (for - unmarshalling). -

- In other words, with the latter use case, you do - not - have to download (and use) Xerces separetely. -

1.10.7.2.  - Do I still have to download Xerces when using Castor XML - with Java 5.0? -

- No. Starting with release 1.1, we have added support for - using the Xerces instance as shipped with the JRE/JDK - for serialization. As such, for Java 5.0 users, this - removes the requirement to download Xerces separately - when wanting to use 'pretty printing' with Castor XML - during marshalling. -

- To enable this feature, please change the following - properties in your - local - castor.properties - file (thus redefining the default value) as shown below: -

- # Defines the XML parser to be used by Castor. 
- # The parser must implement org.xml.sax.Parser.
- org.exolab.castor.parser=org.xml.sax.helpers.XMLReaderAdapter
-
- # Defines the (default) XML serializer factory to use by Castor, which must
- # implement org.exolab.castor.xml.SerializerFactory; default is
- # org.exolab.castor.xml.XercesXMLSerializerFactory
- org.exolab.castor.xml.serializer.factory=org.exolab.castor.xml.XercesJDK5XMLSerializerFactory
-
- # Defines the default XML parser to be used by Castor.
- org.exolab.castor.parser=com.sun.org.apache.xerces.internal.parsers.SAXParser
-			
\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/advanced-jdo.html b/src/site/resources/reference-guides/1.4.0/html-single/advanced-jdo.html deleted file mode 100755 index 5d7ea9038..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/advanced-jdo.html +++ /dev/null @@ -1,2844 +0,0 @@ - - - Chapter 4. Advanced JDO

Chapter 4. Advanced JDO

- - - - -

4.1. Castor JDO - Caching

4.1.1. Introduction

- As explained at - the introduction to Castor JDO, - Castor has support for many advanced features such as caching. - The below sections detail the features related to caching in Castor JDO, - as their understanding is required to use Castor JDO in a performant and - secure way. -

- In general, performance caches enhance the application performance - by reducing the number of read operations against the persistence - storage, by storing and reusing the last read or committed values of - the object. Performance caches do not affect the behavior of short - transactions or locking. It only affects persistence objects that have - been released from any transactional context. -

- Starting from Castor 0.8.6, a performance cache implementation has been - added. At a technical level, Castor maintains separate (performance) caches - for each object type specified in the JDO mapping provided, allowing users - to specify - for each object type individually - the type and - capacity of the cache. -

By default, the following cache types are available:

Table 4.1. Available cache types

nameVendorVersionDistributable?Open source/commercialhigh volume/performanceAdded in release
noneBuilt-in-NoOpen SourceNo 
unlimitedBuilt-in-NoOpen SourceNo 
count-limitedBuilt-in-NoOpen SourceNo 
time-limitedBuilt-in-NoOpen SourceNo 
coherence - Tangosol - Coherence - 2.5YesCommercialYes0.9.9
jcsJCS1.2.5YesOpen sourceYes0.9.9
fkcacheFKCache1.0-beta6NoOpen SourceNo0.9.9
oscache - OSCache - 2.5YesOpen SourceNo1.0
fifoBuilt-in-NoOpen SourceYes1.0
lruBuilt-in-NoOpen SourceYes1.0
ehcacheBuilt-in-YesOpen Source?1.0.1
gigaspacesJCS5.0YesCommercialYes1.0.1

- As some of these cache providers allow for allow you to use it in a - distributed mode, this allows Castor - JDO to be used in a clustered (multi-JVM) environment. Please see the - section - below - for short summary of this feature. -

- Per definition, all build-in performance caches are - write-through, because all - changes to objects as part of a transaction should be persisted into the - cache at commit time without delay. -

- For problems related to the use of performance caches, please consult with - the relevant entries in the - JDO F.A.Q.. -

4.1.2. Caching and long transactions

- As it stands currently, performance caches also serve a dual purpose - as dirty checking caches for - long-transactions. - This limitation implies that the object's availability in the performance - cache determines the allowed time span of a long transaction. -

- This might become an issue when performance caches of type 'count-limited' or - 'time-limited' are being used, where objects will eventually be disposed. - If an application tries to update an object that has been disposed from - the dirty checking cache, an ObjectModifedException will be thrown. -

4.1.3. Configuration

- The DTD declaration is as follows: -

-<!ELEMENT cache-type  ( param* )>
-<!ATTLIST cache-type
-    type           ( none | count-limited | time-limited | unlimited |
-                     coherence | fkcache | jcache | jcs | oscache |
-                     fifo | lru | ehcache | gigaspaces ) "count-limited"
-    debug          (true|false) "false"
-    capacity       NMTOKEN  #IMPLIED>
-
-<!ELEMENT param EMPTY>
-<!ATTLIST param
-          name   NMTOKEN  #REQUIRED
-          value  NMTOKEN  #REQUIRED>

-

- With release 1.0 of Castor the DTD has changed but it is backward compatible - to the old one and allows to enable debugging of cache access for a specific - class as well as passing individual configuration parameters to each cache - instance. Only count-limited and - time-limited of the current - build-in cache types support parameters. Parameter names are case sensitive - and are silently ignored if they are unknown to a cache type. -

- It need to be noted that there are 3 parameter names that are reserved for - internal use. If you specify a parameter with one of the names: - type, name - or debug their value will silently be - overwritten with another one used internally. -

Example 4.1. Configuration sample - count-limited

- A count-limited least-recently-used - cache (LRU) for 500 objects can be specified by: -

-<cache-type type="count-limited" capacity="500"/>

or

-<cache-type type="count-limited"/>
-    <param name="capacity" value="500"/>
-</cache-type>

- If both, the capacity attribute and parameter with name="capacity" is - specified, the parameter value takes precedence over the attribute - value. -


Example 4.2. Configuration sample - time-limited

- A time-limited first-in-first-out - cache (FIFO) that expires objects after 15 minutes can be specified by: -

-<cache-type type="time-limited" capacity="900"/>

or

-<cache-type type="time-limited"/>
-    <param name="ttl" value="900"/>
-</cache-type>

- If both, the capacity attribute and parameter with name="ttl" is - specified, the parameter value takes precedence over the attribute value. -


- The debug attribute can be used to enable - debugging for objects of a single class. In addition to setting this - attribut to true you also need to set - logging level of org.castor.cache.Cache - to debug. -

[Note]Note

- The default cache-type is count-limited with a - capacity of 30. This will be used when no cache-type is specified in - the mapping for a class. -

4.1.4. fifo and lru cache providers

- The cache types fifo and - lru are based on a set of articles in the - O'Reilly Network by William Grosso, to implement a simplified and - 1.3-compatible implementation of a Hashbelt algorithm. -

- Hashbelts are simple, in principle. Instead of walking all objects and - finding out when they're supposed to expire, use a "conveyor belt" approach. - At any particular point in time, objects going into the cache go into the - front of the conveyor belt. After a certain amount of time or when the size - limit of a container has been reached, move the conveyor belt - put a new, - empty container at the front of the conveyor belt to catch new objects, and - the one that drops off of the end of the conveyor belt is, by definition, - ready for garbage collection. -

- As seen in his system, you can use a set of pluggable strategies to - implement the actual hashbelt bits. A container strategy allows you to - change out the implementation of the container itself - from simple - hashtable-based implementations, up through more complex uses of soft - referenced or hashset-based implementations, depending on what you need - and what you want it to be used for. A pluggable "expire behavior" handler - allows you to determine what action is taken on something which drops off - of the bottom of the conveyor belt. -

- In difference to all other cache types the - fifo and - lru cache types offer various configuration - options. Both of them have 6 parameters to configure their behaviour. -

Table 4.2. cache types parameters

parameterdescription
containers - The number of containers in the conveyor belt. For example: If a - box will drop off of the conveyor belt every 30 seconds, and you - want a cache that lasts for 5 minutes, you want 5 / 30 = 6 - containers on the belt. Every 30 seconds, another, clean container - goes on the front of the conveyor belt, and everything in the last - belt gets discarded. If not specified 10 containers are used by default. - - For systems with fine granularity, you are free to use a large - number of containers; but the system is most efficient when the - user decides on a "sweet spot" determining both the number of - containers to be managed on the whole and the optimal number of - buckets in those containers for managing. This is ultimately a - performance/accuracy tradeoff with the actual discard-from-cache - time being further from the mark as the rotation time goes up. - Also the number of objects discarded at once when capacity limit - is reached depends upon the number of containers. -
capacity - Maximum capacity of the whole cache. If there are, for example, ten - containers on the belt and the capacity has been set to 1000, each - container will hold a maximum of 1000/10 objects. Therefore if the - capacity limit is reached and the last container gets droped from - the belt there are up to 100 objects discarted at once. By default - the capacity is set to 0 which causes capacity limit to be ignored - so the cache can hold an undefined number of objects. -
ttl - The maximum time an object lifes in cache. If the are, for example, - ten containers and ttl is set to 300 seconds (5 minutes), a new - container will be put in front of the belt every 300/10 = 30 seconds - while another is dropped at the end at the same time. Due to the - granularity of 30 seconds, everything just until 5 minutes 30 - seconds will also end up in this box. The default value for ttl - is 60 seconds. If ttl is set to 0 which means that objects life - in cache for unlimited time and may only discarded by a capacity - limit. -
monitor - The monitor intervall in minutes when hashbelt cache rports the - current number of containers used and objects cached. If set to 0 - (default) monitoring is disabled. -
container-class - The implementation of - org.castor.cache.hashbelt.container.Container - interface to be used for all containers of the cache. - Castor provides the following 3 implementations of the Container - interface. -
  • - org.castor.cache.hashbelt.container.FastIteratingContainer -

  • - org.castor.cache.hashbelt.container.MapContainer -

  • - org.castor.cache.hashbelt.container.WeakReferenceContainer -

- If not specified the MapContainer will be used as default. -
reaper-class - Specific reapers yield different behaviors. The GC reaper, - the default, just dumps the contents to the garbage collector. - However, custom implementations may want to actually do something - when a bucket drops off the end; see the javadocs on other available - reapers to find a reaper strategy that meets your behavior - requirements. Apart of the default - org.castor.cache.hashbelt.reaper.NullReaper we provide - 3 abstract implementations of - org.castor.cache.hashbelt.reaper.Reaper interface: -
  • - - org.castor.cache.hashbelt.reaper.NotifyingReaper - -

  • - - org.castor.cache.hashbelt.reaper.RefreshingReaper - -

  • - - org.castor.cache.hashbelt.reaper.ReinsertingReaper - -

- to be extended by your custom implementation. -

Example 4.3. Configuration sample - fifo

- A fifo cache with default values - explained above is specified by: -

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="fifo"/>
-       ...
-    </class>
-    ...
-</mapping>

Example 4.4. Configuration sample - lru

- A lru cache with capacity=300 and - ttl=300 is defined by: -

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="lru" capacity="300"/>
-       ...
-    </class>
-    ...
-</mapping>

or better by:

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="lru">
-          <param name="capacity" value="300"/>
-          <param name="ttl" value="300"/>
-       </cache-type>
-       ...
-    </class>
-    ...
-</mapping>

Example 4.5. Configuration sample - fifo (custommized)

An example of a customized configuration of a fifo cache is:

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="fifo"/>
-          <param name="container" value="10"/>
-          <param name="capacity" value="1000"/>
-          <param name="ttl" value="600"/>
-          <param name="monitor" value="5"/>
-          <param name="container-class" value="org.castor.cache.hashbelt.container.WeakReferenceContainer"/>
-          <param name="reaper-class" value="org.castor.cache.hashbelt.reaper.NullReaper"/>
-       </cache-type>
-       ...
-    </class>
-    ...
-</mapping>

4.1.5. Caching and clustered environments

- All of the cache providers added with release 0.9.9 are distributed caches - per se or can be configured to operate in such a mode. This effectively - allows Castor JDO to be used in a clustered J2EE (multi-JVM) environment, - where Castor JDO runs on each of the cluster instances, and where cache - state is automatically snychronized between these instances. -

- In such an environment, Castor JDO wil make use of the underlying cache - provider to replicate/distribute the content of a specific cache between - the various JDOManager instances. Through the distribution mechanism of - the cache provider, a client of a Castor JDO instance on one JVM will see - any updates made to domain objects performed against any other JVM/JDO - instance. -

Example 4.6. Configuration sample - Coherence

The following class mapping, for example, ...

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-        <cache-type type="coherence" />
-       ...
-    </class>
-    ...
-</mapping>

- defines that for all objects of type - com.xyz.MyOtherObject Tangosol's - Coherence cache provider should - be used. -


Example 4.7. Configuration sample - Gigaspaces

The following class mapping, for example, ...

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-        <cache-type type="gigaspaces" />
-       ...
-    </class>
-    ...
-</mapping>

- defines that for all objects of type - com.xyz.MyOtherObject the - Gigaspaces cache provider should - be used. As Gigspaces supports various cache and clsuer modes, this - cache provider allows product-specific configuration as shown below: -

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-        <cache-type type="gigaspaces" >
-           <param name="spaceURL" value="/./" />
-           <param name="spaceProperties" value="useLocalCache" />
-        </cache-type>
-       ...
-    </class>
-    ...
-</mapping>

4.1.6. Custom cache provider

- As of release 0.9.6, Castor allows for the addition of user-defined cache - implementations. Whilst Castor provides a set of pre-built cache providers, - offering a variety of different cache algorithms, special needs still might - require the application developer to implement a custom cache - algorithm. Castor facilitates such need by making available standardized - interfaces and an easy to understand recipe for integrating a custom - cache provider with Castor. -

- As explained in org.exolab.castor.jdo.persist - (API docs for the persists package), - org.exolab.castor.persist.LockEngine implements - a persistence engine that caches objects in memory for performance reasons - and thus reduces the number of operations against the persistence storage. -

- The main component of this package is the interface - org.castor.cache.Cache, which declares the external - functionality of a (performance) cache. Existing (and future) cache - implementations (have to) implement this interface, which is closely - modelled after the java.util.Map interface. -

- Below is a summary of the steps required to build a custom cache provider - and register it with Castor JDO: -

-

  1. - Create a class that implements - org.exolab.castor.persist.cache.Cache. -

  2. - Create a class that implements - org.exolab.castor.persist.cache.CacheFacto -

  3. - Register your custom cache implementation with Castor JDO in the - castor.properties file. -

-

4.1.6.1. Cache implementation

- Please create a class that implements the interface - org.exolab.castor.persist.cache.Cache">Cache. -

- To assist users in this task, a - org.castor.cache.AbstractBaseCache - class has been supplied, which users should derive their custom - org.castor.cache.Cache instances - from, if they wish so. Please consult existing - org.castor.cache.Cache implementations such as - org.castor.cache.simple.TimeLimited} or - org.castor.cache.simple.CountLimited - for code samples. -

-/**
- * My own cache implementation
- */ 
- public class CustomCache extends AbstractBaseCache {
- 
-    ...
-    
- }

4.1.6.2. CacheFactory implementation

- Please add a class that imnplements the - org.castor.cache.CacheFactory interface - and make sure that you provide valid values for the two - properties name and className. -

- To assist users in this task, a - org.castor.cache.AbstractCacheFactory - class has been supplied, which users should derive their custom - org.castor.cache.CacheFactory instances - from, if they wish so. Please consult existing - org.castor.cache.CacheFactory implementations - such as org.castor.cache.simple.TimeLimitedFactory} or - org.castor.cache.simple.CountLimitedFactory - for code samples. -

-/**
- * My own cache factory implementation
- */ 
- public class CustomCacheFactory extends AbstractCacheFactory {
- 
-    /**
-     * The name of the factory
-     */
-    private static final String NAME = "custom";
-
-    /**
-     * Full class name of the underlying cache implementation.
-     */
-    private static final String CLASS_NAME = "my.company.project.CustomCache"; 
-    
-    /**
-     * Returns the short alias for this factory instance.
-     * @return The short alias name. 
-     */
-    public String getName() {
-        return NAME;
-    }
-    
-    /**
-     * Returns the full class name of the underlying cache implementation.
-     * @return The full cache class name. 
-     */
-    public String getCacheClassName() {
-        return CLASS_NAME;   
-    }
-    
- }

4.1.6.3. Configuration

- The file castor.properties holds a property - org.castor.cache.Factories that enlists the available - cache types through their related CacheFactory instances. -

-# 
-# Cache implementations
-# 
-org.castor.cache.Factories=\
-  org.castor.cache.simple.NoCacheFactory,\
-  org.castor.cache.simple.TimeLimitedFactory,\
-  org.castor.cache.simple.CountLimitedFactory,\
-  org.castor.cache.simple.UnlimitedFactory,\
-  org.castor.cache.distributed.FKCacheFactory,\
-  org.castor.cache.distributed.JcsCacheFactory,\
-  org.castor.cache.distributed.JCacheFactory,\
-  org.castor.cache.distributed.CoherenceCacheFactory,\
-  org.castor.cache.distributed.OsCacheFactory,\
-  org.castor.cache.hashbelt.FIFOHashbeltFactory,\
-  org.castor.cache.hashbelt.LRUHashbeltFactory

- To add your custom cache implementation, please append the - fully-qualified class name to this list as shown below: -

-# 
-# Cache implementations
-# 
-org.castor.cache.Factories=\
-  org.castor.cache.simple.NoCacheFactory,\
-  org.castor.cache.simple.TimeLimitedFactory,\
-  org.castor.cache.simple.CountLimitedFactory,\
-  org.castor.cache.simple.UnlimitedFactory,\
-  org.castor.cache.distributed.FKCacheFactory,\
-  org.castor.cache.distributed.JcsCacheFactory,\
-  org.castor.cache.distributed.JCacheFactory,\
-  org.castor.cache.distributed.CoherenceCacheFactory,\
-  org.castor.cache.distributed.OsCacheFactory,\
-  org.castor.cache.hashbelt.FIFOHashbeltFactory,\
-  org.castor.cache.hashbelt.LRUHashbeltFactory,\
-  org.whatever.somewhere.nevermind.CustomCache

4.1.7. CacheManager - monitoring and clearing caches

- Sometimes it is necessary to interact with Castor's (performance) caches to - e.g. (selectively) clear a Castor cache of its content, or inquire about - whether a particular object instance (as identified by its identity) is - cached already. -

- For this purpose a - org.exolab.castor.jdo.CacheManager can - be obtained from a org.exolab.castor.jdo.Database - instance by issuing the following code: -

-	  
-JDO jdo = ....;
-Database db = jdo.getDatabase();
-CacheManager manager = db.getCacheManager();
-	  

- This instance can subsequently be used to selectively clear the - Castor performance cache using one of the following methods: -

-

  • - org.exolab.castor.jdo.CacheManager.expireCache() -

  • - org.exolab.castor.jdo.CacheManager.expireCache(Class,Object) -

  • - org.exolab.castor.jdo.CacheManager.expireCache(Class,Object[]) -

  • - org.exolab.castor.jdo.CacheManager.expireCache(Class[]) -

-

- To inquire whether an object has already been cached, please use the - following method: -

-

  • - org.exolab.castor.jdo.CacheManager.isCached (Class, Object); -

-

- Please note that once you have closed the Database instance from which you - have obtained the CacheManager, the CacheManager cannot be used anymore and - will throw a - org.exolab.castor.jdo.PersistenceException. -

-

4.2. OQL to SQL translator

4.2.1. News

- Release 0.9.6: -

  • - Added support for LIMIT clause for MS SQL Server. -

  • - In the case a RDBMS does not support LIMIT/OFFSET clauses, a - SyntaxNotSupportedException is thrown. -

  • - Added support for a limit clause and an offset clause. - Currently, only HSQL, mySQL and postgreSQL are supported. -

  • - Added an - example - section. -

-

4.2.2. Status

- The Castor OQL implementation is currently in phase 3 of development. -

[Note]Note

- This documentation is not yet finished -

4.2.3. Introduction

- This document describes an OQL to SQL translator to be added to the - Castor JDO Java object - Persistence API. - The translator will accept OQL queries passed as strings, and generate - a parse tree of the OQL. It will then traverse the tree creating the - appropriate SQL. The user will then be able to bind parameters to - parameterized queries. Type checking will be performed on the bound - parameters. When the user executes the query, the system will submit - the query to the SQL database, and then postprocess the SQL resultset - to create the appropriate result as a Java Object or literal. The - current org.exolab.castor.mapping and - org.exolab.castor.persist packages will be used - for metadata and RDBMS communication. -

- Four of the (now defunct) SourceXchange milestones for this project - call for java source code. These milestones will be referred to here - as phase 1, 2, 3, and 4. There are many possible OQL features that - can be supported, but weren't discussed in the proposal or RFP. - Many of these are probably unwanted. These additional features are - specified as phase 5, which is out of the scope of this SourceXChange - project. -

4.2.4. Overview

- The parser will construct a parse tree as output from an OQL query - string given as input. The OQL syntax is a subset of the syntax - described in the ODMG 3.0 - specification section 4.12, with some additional constructs. - Following is a description of the supported OQL syntax, and its SQL - equivalent. -

- Certain features of OQL may not be directly translatable to SQL, but - may still be supported, by post processing the query. For example, the - first() and - last() collection functions supported - in OQL are not directly translatable to standard SQL, but a resultset - can be post-processed to return the appropriate values. Features - requiring post-processing of SQL resultsets will be documented as such - below. -

- Currently the OQLQuery checks for correct syntax at the same time as - it does type checking and other types of error checking. The new code - will involve a multiple pass strategy, with the following passes: -

  1. - Parse the String query checking for syntax errors, and return - a parse tree. -

  2. - Traverse the parse tree checking for correct types, valid - member and method identifiers, and use of features which are - unsupported. This pass may also generate some data necessary - for creating the SQL. -

  3. - Traverse the tree one final time, creating the equivalent SQL - statement to the OQL Query originally passed. -

-

4.2.5. Syntax

- This section describes the first pass which will be done by the - parser. The parser will create a StringTokenizer like this: -

-StringTokenizer tokenizer
-    = new StringTokenizer(oql,
-    "\n\r\t,.()[]+-*/<>=:|$", true);

- This will create a StringTokenizer with the delimiter - characters listed in the second argument, and it will return delimeters - as well as tokens. The parser will also create a Vector to be used as a - token buffer. As tokens are returned from the StringTokenizer they will - be added to the Vector. Older tokens will be removed from the Vector - when it reaches a certain size. The Vector will also be modified when - the StringTokenizer returns multi character operators as seperate - tokens, for example the -> method invocation operator. -

- The parser will consume tokens from the StringTokenizer, generating a - ParseTree. Each ParseTree node will have a nodeType corresponding to - its symbol in the OQL syntax. After each node is created it will look - at the next token and act acordingly, either modifying its properties - (i.e. for DISTINCT property of selectExpr), creating a new child node - or returning an error. If the error travels up to the root node of the - ParseTree, there is a syntax error in the OQL submitted. At the end of - this pass, the ParseTree will contain an apropriate representation of - the query, which will be analyzed, and used to create SQL. Below is - the modified EBNF which will be the Castor OQL syntax. -

-

-query                   ::= selectExpr
-                            | expr
-
-selectExpr              ::= select [distinct] 
-                            projectionAttributes
-                            fromClause
-                            [whereClause]
-                            [groupClause]
-                            [orderClause]
-                            [limitClause [offsetClause]]
-
-projectionAttributes    ::= projectionList
-                          | *
-
-projectionList          ::= projection {, projection }
-
-projection              ::= field
-                          | expr [as identifier]
-
-fromClause              ::= from iteratorDef {, iteratorDef}
-
-iteratorDef             ::= identifier [ [as ] identifier ]
-                          | identifier in identifier
-
-whereClause             ::= where expr
-
-groupClause             ::= group by fieldList {havingClause}
-
-havingClause            ::= having expr
-
-orderClause             ::= order by sortCriteria
-
-limitClause             ::= limit  queryParam
-
-offsetClause            ::= offset queryParam
-
-sortCriteria            ::= sortCriterion {, sortCriterion }
-
-sortCriterion           ::= expr [ (asc | desc) ]
-
-expr                    ::= castExpr
-
-castExpr                ::= orExpr
-                            | ( type ) castExpr
-
-orExpr                  ::= andExpr {or andExpr}
-
-andExpr                 ::= quantifierExpr {and quantifierExpr}
-
-quantifierExpr          ::= equalityExpr
-                            | for all inClause : equalityExpr
-                            | exists inClause : equalityExpr
-
-inClause                ::= identifier in expr
-
-equalityExpr            ::= relationalExpr
-                            {(= | !=) 
-                                [compositePredicate] relationalexpr }
-                            | relationalExpr {like relationalExpr}
-
-relationalExpr          ::= additiveExpr
-                            {(< | <= 
-                                | > | >= ) 
-                                    [ compositePredicate ] additiveExpr }
-                                | additiveExpr between 
-                                    additiveExpr and additiveExpr
-
-compositePredicate      ::= some | any | all
-
-additiveExpr            ::= multiplicativeExpr
-                                {+ multiplicativeExpr}
-                            | multiplicativeExpr
-                                {- multiplicativeExpr}
-                            | multiplicativeExpr
-                                {union multiplicativeExpr}
-                            | multiplicativeExpr
-                                {except multiplicativeExpr}
-                            | multiplicativeExpr
-                                {|| multiplicativeExpr}
-
-multiplicativeExpr      ::= inExpr {* inExpr}
-                            | inExpr {/ inExpr}
-                            | inExpr {mod inExpr}
-                            | inExpr {intersect inExpr}
-
-inExpr                  ::= unaryExpr {in unaryExpr}
-
-unaryExpr               ::= + unaryExpr
-                            | - unaryExpr
-                            | abs unaryExpr
-                            | not unaryExpr
-                            | postfixExpr
-
-postfixExpr             ::= primaryExpr{[ index ]}
-                            | primaryExpr
-                            {(. | ->)identifier[arglist]}
-
-index                   ::= expr {, expr}
-                            | expr : expr
-
-argList                 ::= ([ valueList ])
-
-primaryExpr             ::= conversionExpr
-                            | collectionExpr
-                            | aggregateExpr
-                            | undefinedExpr
-                            | collectionConstruction
-                            | identifier[ arglist ]
-                            | queryParam
-                            | literal
-                            | ( query )
-
-conversionExpr          ::= listtoset( query )
-                            | element( query )
-                            | distinct( query )
-                            | flatten( query )
-
-collectionExpr          ::= first( query )
-                            | last( query )
-                            | unique( query )
-                            | exists( query )
-
-aggregateExpr           ::= sum( query )
-                            | min( query )
-                            | max( query )
-                            | avg( query )
-                            | count(( query | * ))
-
-undefinedExpr           ::= is_undefined( query )
-                            | is_defined( query )
-
-fieldList               ::= field {, field}
-
-field                   ::= identifier: expr
-
-collectionConstruction  ::= array([valueList])
-                            | set([valueList])
-                            | bag([valueList])
-                            | list([valueList])
-                            | list(listRange)
-
-valueList               ::= expr {, expr}
-
-listRange               ::= expr..expr
-
-queryParam              ::= $[(type)]longLiteral
-
-type                    ::= [unsigned] short
-                            | [unsigned] long
-                            | long long
-                            | float
-                            | double
-                            | char
-                            | string
-                            | boolean
-                            | octet
-                            | enum [identifier.]identifier
-                            | date
-                            | time
-                            | interval
-                            | timestamp
-                            | set <type>
-                            | bag <type>
-                            | list <type>
-                            | array <type>
-                            | dictionary <type, type>
-                            | identifier
-
-identifier              ::= letter{letter| digit| _}
-
-literal                 ::= booleanLiteral
-                            | longLiteral
-                            | doubleLiteral
-                            | charLiteral
-                            | stringLiteral
-                            | dateLiteral
-                            | timeLiteral
-                            | timestampLiteral
-                            | nil
-                            | undefined
-
-booleanLiteral          ::= true
-                            | false
-
-longLiteral             ::= digit{digit}
-
-doubleLiteral           ::= digit{digit}.digit{digit}
-                            [(E | e)[+|-]digit{digit}]
-
-charLiteral             ::= 'character'
-
-stringLiteral           ::= "{character}"
-
-dateLiteral             ::= date
-                                'longliteral-longliteral-longliteral'
-
-timeLiteral             ::= time
-                                'longliteral:longLiteral:floatLiteral'
-
-timestampLiteral        ::= timestamp
-                                'longLiteral-longLiteral-longLiteral
-                                longliteral:longLiteral:floatLiteral'
-
-floatLiteral            ::= digit{digit}.digit{digit}
-
-character               ::= letter
-                            | digit
-                            | special-character
-
-letter                  ::= A|B|...|Z|
-                            a|b|...|z
-
-digit                   ::= 0|1|...|9
-
-special-character       ::= ?|_|*|%|\
-               

-

- The following symbols were removed from the standard OQL Syntax for - the following reasons: - -

  • - andthen: Cannot be implemented in - a single SQL query. -

  • - orelse: Same as above. -

  • - import: This is advanced - functionality which may be added later. This phase will use the - castor mapping mechanism to define the namespace. -

  • - Defined Queries: This is another feature - which can be added later. It is unclear where the queries would be - stored, and what their scope would be seeing as how this project - is an OQL to SQL translator, and not an ODBMS. -

  • - iteratorDef was changed so that all - instances of expr were replaced by identifier. This means that the - from clause can only contain extent names (class names), rather - than any expression. This is the most common case and others could - create complicated SQL sub-queries or post-processing - requirements. -

  • - objectConstruction and - structConstruction were removed. What is the scope of the - constructed object or struct, and how is a struct defined in Java? -

-

- The following symbols were added or modified. -

  • - between added to relationalExpr. -

  • - Optional type specification added to - queryParam. -

-

- The rest of the standard OQL syntax remains unchanged. - Certain syntactically correct queries may not be supported in Castor. - For example, top level expressions which do not contain a selectExpr - anywhere in the query may not be supported. This will be discussed - further in the next section. -

4.2.6. Type and validity checking

- The first pass over the ParseTree will do type checking, and create some - structures used in the SQL generation pass. It will also check whether - the identifiers used are valid, and whether the query uses unsupported - features. The following table describes each type of node in the - ParseTree, and how it will be processed in the first pass. -

-

Table 4.3. The first pass

expr -
  • - A query whose top level element is an expr, rather - than a selectExpr will not be supported within the - scope of this project. These queries can either be - stated as a selectExpr, like aggregateExpr's, or - they would require post-processing of the SQL - results, like - element() - first() and - last(). -

-
Phase 5
projectionAttributes -
  • - select * will return a Collection of Arrays of Objects. -

-
Phase 5
projectionList -
  • - Selecting multiple fields will return a Collection - of Arrays of Objects. -

  • - When there are multiple fields selected, - a list of field names and aliases will be kept for - checking validity of expr's in the whereClause, - groupClause, and orderClause. -

-
Phase 5
projection -
  • Alias identifier will be stored.

  • - expr in projection may only be identifier, - without an arglist. -

-
Phase 1
projection -
  • - expr in projection may only be identifier - (with optional argList), aggregateExpr, undefinedExpr, - and postfixExpr (for selecting fields and accessors). -

  • - The subquery in aggregateExpr and undefinedExpr can be - identifier (with optional arglist), or postfixExpr for - applying these functions to fields and accessors. -

  • - If an identifier before the - . or - -> contains an - arglist, it will be considered a SQL function, and - passed through to the RDBMS. -

  • - If the postfixExpr contains one of the above - operators, the mapping mechanism will be used - to determine if the path expression is valid - and to generate a list of required join tables, - using the manyKey and manyTable from the - JDOFieldDescriptor. -

-
Phase 2
fromClause -
  • - The class of the extent being selected from will be - stored, and ClassDescriptor objects will be - instantiated. -

-
Phase 1
whereClause -
  • - expr in whereClause may onlycontain orExpr, - andExpr, equalityExpr (without compositePredicate), - relationalExpr, additiveExpr (without set operators - union and - except), - multiplicativeExpr (without set operator - intersect), - unaryExpr, postFixExpr (must be only primaryExpr, - no array or property reference or method calls). -

  • - primaryExpr may only contain identifier (without an - argList), literal and queryParam. Identifier will - be checked against object name and alias in - projectionList. -

  • - For equalityExpr, relationalExpr, aditiveExpr, - multiplicativeExpr, the left side and right side - expr's must evaluate to comparable types. -

  • - For unaryExpr, simple type checking for numerical - or character based types will be performed. -

  • - If the operands for any of the relational, - equality, additive, multiplicative, or unary - operators is a query parameter, an expected type - will be determined. If the parameter included a - specified type which is incompatible with the - system determined type, an error will be generated. -

-
Phase 1
whereClause -
  • - Support for built in OQL functions will be added - to the whereClause: is_defined, is_undefined. -

  • inExpr will be supported in whereClause.

  • - inExpr will only allow collectionConstruction for - the right side argument to - in. No subQueries - will be allowed. -

-
Phase 2
whereClause -
  • - identifiers will be able to contain an - optional arglist. If the arglist is before a - . or - -> the - identifier will be considered a SQL function and - will be passed through to the DBMS. Otherwise, - the identifier will be for an accessor method, - or a property name. -

  • - Accessor methods and property references will cause - a check through the ClassDescriptor and - FieldDescriptors for the object type, and the - required join tables. -

-
Phase 3
whereClause -
  • - compositePredicate will be suported in equalityExpr. -

  • exists(query) will be supported.

  • - quantifierExpr will support - for all and - exists. -

  • - Subqueries will be supported on the right side of - the in operator. -

-
Phase 4
groupClause, havingClause -
  • - Will identify appropriate fields - in SQL schema for each expr. -

  • aggregateExpr will be supported.

  • - Only expr's which translate to SQL columns which - are already being selected will be supported. -

-
Phase 4
orderClause -
  • - May only contain expr's which translate into SQL - columns which are already being selected. -

-
Phase 3


-

4.2.7. SQL Generation

- After the first pass, the ParseTree is free of errors, and ready for - the SQL generation step. The existing implementation of the OQLParser - uses the persistence API for SQL generation. This API lacks the - necessary features to generate SQL from any OQL. The SQLEngine class - which implements Persistence is used to create a JDBCQueryExpression. - The SQL is derived from the finder, which is a JDBCQueryExpression - produced by the SQLEngine. The problem is that the SQLEngine only - supports single objects. It cannot generate SQL for path expressions - like this: -

-select p.address from Person p 

- - This query requires a SQL statement like this: -

-select address.* from person, address
-    where person.address_id = address.address_id

- The buildFinder method should not be used to generate a - queryExpression. The SQLEngine should be used to get a ClassDescriptor, - and to create a new QueryExpression. The OQLParser should use the - methods in the QueryExpression to generate the SQL. The - JDBCQueryExpression which is an implementation of QueryExpression is - also lacking in necessary features. This class should continue to be - used, but the following features will need to be added: -

addColumn(String)

- For adding something to select without specifying the tablename, - for use with functions (i.e. select count(*)) -

addTable(String)

For when the table has to be added manually.

addCondition(String)

- Add a condition created outside the class, for nested - expressions, and other expressions that are not of the form - table.column op table.column. -

setDistinct(boolean)

Used for select distinct.

- addOrderColumn(String tableName, String columnName, boolean desc) -

Used for order by

addGroupExpr(String)

Used for group by

addHavingExpr(String)

Used for having.

-

- The following table lists each type of tree node, and how it will be - processed in the SQL generation pass. -

-

Table 4.4. SQL generation pass

selectExpr -
  • - distinct in the selectExpr will result in a call to - setDistinct(true) in the queryExpr. -

-
Phase 2
projection -
  • - The queryExpr will be populated with the columns - and tables necessary to retrieve the object. This - will use code similar to SQLEngine.addLoadSql(...). -

-
Phase 1
projection -
  • - aggregateExpr and SQL functions - will be passed to addColumn. -

  • - undefinedExpr will be translated to - is null and - is not null -

  • - postfixExpr (for selecting fields and - accessors) will result in a different group - of select expressions and "from tables" being - generated. -

-
Phase 2
whereClause -
  • - Entire expr in where clause will be translated, - and then added to the QueryExpr, using a single - call to addCondition(String), and multiple - calls to addTable(String). -

-
Phase 1
whereClause -
  • - is_defined() - will translate into - is not null - and - is_undefined() - will translate into - is null. -

  • - inExpr will translate directly, with the - collectionConstruction removed. -

-
Phase 2
whereClause -
  • - compositePredicate and exists(query) - translate directly to SQL. -

  • - For quantifierExpr, - exists - will translate into an exists() SQL subquery. - for all - will translate into the contrapositive(?) - exists query, for example: - -

    -	for all x in teachers:
    -	    x.name = 'Nis'

    - translates to: -

    -	not exists (select * from teachers
    -	    where name != 'Nis')

    -

-
Phase 4


-

4.2.8. OQL FAQ

- Please see the OQL section - of the JDO FAQ. -

4.2.9. Summary

- The Parser and ParseTree classes will be improved through the phases - of this project. The top level of OQL to SQL translation will look very - simple, like this: -

-OQLParser parser = new OQLParser(query);
-ParseTree pt = parser.getParseTree();
-pt.checkPass();
-//the SQL generation pass
-_expr = pt.getQueryExpr();
-            

- - These methods will have some additional parameters passed - for storing and retrieving data relevant to the query. Following is a - table containing a list of what will be introduced in each coding phase - of the project. -

-

Table 4.5. Coding phases

Phase 1 -
  • - New parser structure which generates symbol tree -

  • - Parser still supports only limited OQL -

  • selected field aliases

  • - whereClause supports or, and, equality, - additive, multiplicative, and unary Operators. -

  • support for specifying parameter types

  • - check specified parameter type - against system determined type -

  • specifying ordered parameters.

  • - JDBCQueryExpression must support - addCondition(String condition) -

-
Phase 2 -
  • - Distinct keyword will be supported in selectExpr -

  • - aggregateExpr and undefinedExpr supported in - projection (Select statement) -

  • isDefined, isUndefined in whereClause

  • inExpr in whereClause

  • type checking/conversion in bind()

  • - fields and accessors in the - projection. Mapping mechanism may need some additional - features. -

  • SQL functions in the projection

  • order by

-
Phase 3 -
  • fields and accessors in whereClause

  • SQL functions in the where clause

-
Phase 4 -
  • sub queries

  • exists()

  • compositePredicate

  • quantifierExpr's: for all and exists

  • group by

  • having

-
Phase 5: -
  • expr as top level symbol

  • - queries selecting multiple fields or as - comma separated list or * -

-


-

4.2.10. Examples

- Please find below various examples of OQL queries using the Java class files - as outlined below. -

4.2.10.1. Java class files

- The following fragment shows the Java class declaration for the - Product class: -

-package myapp;
-
-public class Product 
-{
-    private int       _id;
-
-    private String    _name; 
-
-    private float     _price; 
-
-    private ProductGroup _group;
-
-
-    public int getId() { ... }
-    public void setId( int anId ) { ... }
-
-    public String getName() { ... }
-    public void setName( String aName ) { ... }
-
-    public float getPrice() { ... }
-    public void setPrice( float aPrice ) { ... }
-
-    public ProductGroup getProductGroup() { ... }
-    public void setProductGroup( ProductGroup aProductGroup ) { ... }
-}
-	  

- The following fragment shows the Java class declaration for the - ProductGroup class: -

-
-public class ProductGroup
-{
-
-    private int       _id;
-
-    private String    _name;
-
-    public int getId() { ... }
-    public void setId( int id ) { ... }
-
-    public String getName() { ... }
-    public void setName( String name ) { ... }
-
-}
-         

4.2.10.2. Limit Clause

- On a selected number of RDBMS, Castor JDO now supports the use of - LIMIT/OFFSET clauses. -

- As per this release, the following RDBMS have full/partial support for this - feature. -

Table 4.6. Limit support

RDBMSLIMITOFFSET
postgreSQLYesYes
mySQLYesYes
Oracle - 1)2)YesYes
HSQLYesYes
MS SQLYes-
DB2Yes-

- 1) Oracle has full support for LIMIT/OFFSET clauses for release 8.1.6 and - later. -

- 2) For the LIMIT/OFFSET clauses to work properly the OQL query is required - to include a ORDER BY clause. -

- The following code fragment shows an OQL query that uses the LIMIT keyword - to select the first 10 ProductGroup instances. -

-query = db.getOQLQuery("select p from ProductGroup as p LIMIT $1");
-query.bind(10);
-         

- Below is the same OQL query again, restricting the number of ProductGroup instances - returned to 10, though this time it is specified that the ProductGroup - instances 11 to 20 should be returned. -

-query = db.getOQLQuery ("select p from ProductGroup as p LIMIT $1 OFFSET $2");
-query.bind(10);
-         

- In the case a RDBMS does not support LIMIT/OFFSET clauses, a - SyntaxNotSupportedException will be thrown. -

-

4.3. Transaction And Locking Modes

Assaf Arkin - () -

4.3.1. The JDO Model

- In order to understand how the JDO transaction model affects applications - performance and transactional integrity, you must first understand the semantics - of the Java Data Objects. Java Data Objects are objects loaded from and stored - to the database, but are disassociated from the database itself. That is, once an - object has been loaded into memory, changes to the object in memory are not - reflect in the database until the transaction commits. -

- The following table shows a sample code and the state of the JDO object and - the relevant database field: -

Table 4.7. JDO objects

CodeObject valueRecord value
results = oql.execute();N/AX
obj = results.next();XX
obj.setValue( Y );YX
db.commit();YY

- Concurrency conflicts do not occur when an object is changed in memory, - but rather when the transaction commits and changes are saved back to the - database. No changes are saved if the transaction rolls back. -

- Conflicts could occur if two threads attempted to modify the same object, - or the same thread receives two objects associated with the same database - record and performs different changes to each object. Castor solves these - issues through a transaction-object-identity association. -

- When the same transaction attempts to query the same database record twice, - (e.g. as the result of two different queries) the same object is returned, - assuring that different changes will be synchronized through the same - object. -

- When two transactions attempt to query the same database record, each - transaction receives a different object mapping to the same record, - assuring that changes done in one transaction are not visible to the - other transactions. Changes should only become visible when the - transaction commits and all its changes are made durable. -

- This approach places the responsibility of synchronization and deadlock - detection on the Castor persistence engine, easing the life of the - developer. -

4.3.2. Locking Modes

- Concurrent access requires use of locking to synchronize two transactions - attempting to work with the same object. The locking mechanism has to take into - account several possible use of objects, as well as help minimize database access - through caching and is-modified checking. -

- Locking modes are declared in the - class element of the XML mapping on a per class basis. -

4.3.2.1. Access mode: Shared

- The shared mode is the default for all objects, unless otherwise specified in the - mapping file. Shared mode allows two transactions to read the same record at the - same time. Each transaction will get it's own view of the record as a separate - object, to prevent in-memory changes from conflicting with each other. However, - the values loaded from the database are the same for both transactions. -

- When transactions query different objects or query the same objects but for - read-only purposes, shared access provides the most efficient means of access - in terms of performance, utilizing record caching and eliminating lock - contention. For example, when each transaction retrieves a different Customer - record and all transactions retrieved the same set of Department records but - hardly ever change them, both Customer and Department should be declared as - having a shared lock. -

- However, when two transactions attempt to access the same object, modify it, - and commit the changes, a concurrency conflict will occur. Some concurrency - conflicts can lead to one of the transactions aborting. For example, if two - transactions happen to load the same Account object with a balance of X, - one adds 50 and the other adds 60, if both were allowed to commit the changes - the new account balance will be either X+50 or X+60, but not X+110. -

- In the above case either exclusive or db-locked modes should be used to - reduce potential conflicts. However exclusive and db-locked modes may cause - the application to perform slower due to lock contention and should not be - used as the general case. In rare cases conflicts may occur where shared - locks are the preferred choice, e.g. when two transactions attempt to - modify the same Department object, or somehow get hold of the same Customer - records. -

- Castor detects such conflicts as they occur and uses two mechanisms to - deal with them: write locks and deadlock detection. When a transaction commits - Castor first tries to determine whether the object has been modified from - it's known state (i.e. during query). If the object has not been modified, - Castor will not attempt to store the object to the database. If the object - has been modified, Castor acquires a write lock on the object preventing - other transactions from accessing the object until the current transaction - completes storing all changes to the database. A write lock prevents other - transactions from acquiring either a write or read lock, preventing them - from accidentally loading a dirty image of the object. -

- If the second transaction has a read lock on the object, the current - transaction will block until the second transaction releases the lock, - either by rolling back or by not modifying its object. If the other - transaction modifies the object and attempts to store it, a deadlock - occurs. If both transactions have a read lock, both require a write lock in - order to proceed and neither can proceed until the other terminates. -

- Castor detects such deadlock occurences and causes the second transaction - to rollback, allowing the first transaction to commit properly. Such - conflicts do not happen often, but when they happen some transactions will - fail. The application developer should either be aware of the possibility - of failing, or choose to use a more severe lock type. -

- Conflicts occur not just from other Castor transactions, but also from - direct database access. Consider another application modifying the exact - same record through direct JDBC access, or a remote server connecting to - the same database. To detect such conflicts Castor uses a dirty checking - mechanism. -

- When an object is about to be stored, Castor compares the current values - in the database records with those known when the object was originally - loaded from the database. Any changes are regarded as dirty fields and - cause the transaction to rollback with the proper error message. -

- Not all fields are necessarily sensitive to dirty checking. The balance - in a bank account is a sensitive field, but the date of the last transaction - might not be. Since the date does not depend on the original value of the - account, but on the last modification to it, dirty checking can be avoided. -

- A field marked with dirty="ignore" will not take part in dirty - checking. Furthermore, modifications to such a field will not require a - write lock on the object, further improving throughput. Marking fields as - non-dirty should be done with extreme care. -

4.3.2.2. Access mode: Exclusive

- The exclusive mode assures that no two transactions can use the same - record at the same time. Exclusive mode works by acquiring a write lock in - memory and synchronizing transactions through a lock mechanism with configured - timeout. -

- Using in-memory locks, exclusive access provides some transaction synchronization - that is efficient in terms of performance and increases the chance of a commit - being successful. It does not, however, guarantee commit. Since the lock is - acquired by Castor, it can be used to synchronize Castor access, but other forms - of direct database access may still modify the database record. -

- When a transaction obtains an object that was specified as exclusive access - in the mapping file or when performing a query, Castor will always obtain a - write lock on that object. The write lock will prevent a second transaction - from being able to access the object either for read or write, until the current - transaction commits. If the object is already being accessed by another - transaction, the current transaction will block until the other transaction - commits and release the lock. -

- It is possible to upgrade from a shared to an exclusive lock by calling the - org.exolab.castor.jdo.Database.lock(java.lang.Object) - method. This method can be used with shared objects when the application - wants to assure that other transactions will be blocked and changes can be - made to the current object. -

- Because direct database access can modify the same record as represented by - an exclusive locked object, Castor uses dirty checking when updating the - database. Dirty checking does not have a severe affect on performance, and can - be disabled by marking all the fields of the object with dirty="ignore". -

- To reduce the possibility of dirty reads, Castor will always synchronize - exclusive locked objects with the database at the beginning of a transaction. - That is, when an object is loaded the first time in a transaction with an - exclusive lock, Castor will retrieve a fresh copy of the object from the - database. Castor will not, however, refresh the object if the lock is upgraded - in the middle of a transaction using the lock method. -

- Exclusive mode does cause lock contention and can have an affect on application - performance when multiple transactions attempt to access the same record. - However, when used smartly with on a small set of objects it can help reduce - the possibility of concurrency conflicts. It can also be used to force an object - to be loaded from the database and the cache refreshed. -

4.3.2.3. Access mode: Database Locked

- The locked mode performs optimistic locking using the underlying database - engine to assure that only one transaction has access to the record. - In addition to acquiring a write lock in memory, Castor performs a query - with a special SQL construct (FOR UPDATE in Oracle, HOLDLOCK in Sybase) - to guarantee access by one transaction. -

- In the event that the same database record will be accessed directly through - JDBC, stored procedure, or a second machine using Castor, the only way to - achieve object locking is through the database layer. However, such write - locks should be cooperative, that is, other forms of database access should - attempt to use the same locking mechanism. -

- In some isolation levels, when Castor acquires a write lock on the database - it will prevent other applications from accessing the same record until the - Castor transaction commits. However, certain isolation levels allow other - applications to obtain a dirty image of the record. -

- Write locks on the database have a severe impact on application performance. - They incur overhead in the database manager, and increase lock contention. - It is recommended to use database locks with care, pay extra attention to the - isolation level being used, and follow good practices recommended by the - database vendor with regards to such locks. -

- In the future long transaction will be supported. Long transactions rely on - the dirty checking mechanism and only hold connections open for as long as - they are required for queries. Long transactions cannot be used with database - locking. -

- Locked mode must be specified for the object in the mapping file or when - conducting the query. It is not possible to upgrade to a locked lock in the - middle of a transaction. -

- Objects loaded in this mode are always synchronized with the database, that - is, they will never be obtained from the cache and always re-loaded for each - new transaction. -

4.3.2.4. Read-only Queries

- When a query is performed in read-only mode or no mode is specified and the - object is marked as read-only in the database, Castor will return a transient - object. The returned object will not be locked and will not participate in the - transaction commit/rollback. -

- When the same object is queried twice in a transaction as read-only, Castor - will return two separate objects, allowing the caller to modify one object - without altering the other. Castor will utilize the cache and only perform - one load from the database to the cache. -

- Read-only access is recommended only when the object is intentionally queried - as read-only and changes to the object should not be reflected in the database. - If the object will not be modified, or modifications will be stored in the - database, it is recommended to use the shared mode. Shared mode allows the - same object to be returned twice in the same transaction. -

4.3.3. Visibility of Changes

- The visibility of changes occuring in one transaction to other transactions - depends upon the transaction isolation level specified for the database connection. - Whether or not the changes are visible in the current transaction depends upon the - operation being done. -

- There are four types of changes, the following table summarizes the affect of - each change in one transaction on other queries in that transaction as well - as other transactions. -

Table 4.8. Changes

Type of changeSame transactionOther transaction
Create new objectNew object is visible and will be returned from a queryNew object might be visible, depending on isolation level, but access - is blocked until the first transaction completes
Delete existing objectObject is no longer visible and will not be returned from a queryObject might not be visible, depending on isolation level, but access - is blocked until the first transaction completes
setXXX()Change is visible in object itselfChange is not visible, object is accessible depending on lock
update()Change is visible in object itselfChange might be visible, depending on isolation level, object might - be accessible depending on lock

-

4.4. Castor Persistence Architecture

Assaf Arkin - () -

4.4.1. Layered Achitecture

- The Castor persistence engine is based on a layer - architecture allowing different APIs to be plugged on top of - the system, and different persistence engines to be combined - in a single environment. -

- At the top level are the application level APIs. These are industry standard APIs - that allow an application to be ported in and to other environments. These APIs - consist of interfaces as well as semantics that make them suitable for a particular - type of applications. -

- At the medium level is the Castor persistence mechanism. The persistence - mechanism exposes itself to the application through the application level - APIs. These typically have a one to one mapping with the persistence - mechanism API. The persistence mechanism takes care of object caching and - rollback, locking and deadlock detection, transactional integrity, and two - phase commit. -

- At the bottom level are the Castor service providers. SPIs provide the - persistence and query support into a variety of persistence mechanism. - This version of Castor is bundled with an SQL 92 and LDAP persistence SPIs. - Additional SPIs can be added, for example, alternative engines streamlined - for Oracle, Sybase, DB2 and other databases. -

- This document will describe the persistence mechanism API and SPI to allow - for those interested in adding new top level APIs or service providers. -

4.4.2. Persistence API

- The persistence mechanism is responsible for object caching and rollback, - locking and deadlock detection, transaction integrity and two phase commit. - All data access goes through the persistence mechanism. All operations are - performed in the context of a transaction, even if the underlying SPI does - not support transactions (e.g. LDAP). -

- The persistence API is defined in the package - org.exolab.castor.persist. - The persistence mechanism implements the - org.exolab.castor.persist.PersistenceEngine - interface, which allows objects to be loaded, created, deleted and locked - in the context of a transaction. The actual implementation is obtained from - org.exolab.castor.persist.PersistenceEngineFactory. -

- All operations are performed through the context of a transaction. - A transaction is required in order to properly manage locking and caching, - and to automatically commit or rollback objects at transaction termination - (write-at-commit). Persistence operations are performed through the - org.exolab.castor.persist.TransactionContext - interface. -

- The actual implementation of a transaction context is specific to each - application API and set of SPIs. One is created from an - org.exolab.castor.persist.XAResourceSource - which abstracts the data source for the purpose of connection pooling and - XA transaction enlistment. A default implementation of - XAResource is available from - org.exolab.castor.persist.XAResourceImpl. -

4.4.2.1. Transactions

- Every persistence operation is performed within the context of a transaction. - This allows changes to objects to be saved when the transaction commits and - to be rolled back when the transaction aborts. Using a transactional API - relieves the application developer from worrying about the commit/rollback - phase. In addition it allows distributed transactions to be managed by a - transactional environment, such as an EJB server. -

- Each time an object is retrieved or created the operation is performed - in the context of a transaction and the object is recorded with the - transaction and locked. When the transaction completes, the modified - object is persisted automatically. If not all objects can be persisted, - the transaction rolls back. The transaction context implements full - two phase commit. -

- Each transaction sees it's own view of the objects it retrieves from - persistent storage. Until the transaction commit, these changes are - viewable only within that transaction. If the transaction rolled back, - the objects are automatically reverted to their state in persistent storage. -

- The transaction context - (org.exolab.castor.persist.TransactionContext) - is the only mechanism by which the top level APIs can interact with the - persistence engine. A new transaction must be opened in order to perform - any operation. -

- A transaction context is not created directly, but through a derived class - that implements the proper mechanism for obtaining a new connection, - committing and rolling back the connection. Note that commit and rollback - operations are only required in a non-JTA environment. When running inside - a JTA environment (e.g. an EJB server), the container is responsible to - commit/rollback the underlying connection. -

- Application level APIs implement data sources that can be enlisted directly - with the transaction monitor through the JTA - XAResource - interface. A data source can be implemented using - org.exolab.castor.persist.XAResourceSource - which serves as a factory for new transaction contexts and - org.exolab.castor.persist.XAResourceImpl - which provides an XAResource implementation. -

4.4.2.2. OIDs and Locks

- Each object participating in a transaction is associated with an object - identifier, or OID - (org.exolab.castor.persist.OID). - The OID identifies the object through its type and identity value. - The identity object must be unique across all OIDs for the same object type - in the same persistence engine. -

- Each object is also associated with a lock - (org.exolab.castor.persist.ObjectLock). - An object lock supports read and write - locks with deadlock detection. Any number of transactions may acquire a - read lock on the object. Read lock allows the transaction to retrieve the - object, but not to delete or store it. Prior to deleting or storing the - object, the transaction must acquire a write lock. Only one transaction - may acquire a write lock, and a write lock will not be granted if there - is any read lock on the object. -

- If an object is loaded read-only, a read lock is acquired at the begin of - the load operation and realeased when the load is finished. Someone now - could ask why do you acquire a read lock at all if it only lasts during - the load operation. For an explanation we have to take a look on what - happens if an object is loaded. Loading one object from database may cause - castor to load a whole tree of objects with relations to each other. - In the background castor may performs various queries to load all related - objects. For this object tree to be consistent and reflect the persistent - state of all the objects in the database at one point in time we need to - lock all objects involved in all load operations to prevent any involved - object to be write locked and changed by another transaction. If the load - operation is finished these read locks are not required anymore. On the - other hand, read locks are acquired to prevent an object already locked - in the write mode from getting the read lock. -

- Write locks are acquired at the begin of the load operation similar then - read locks. But in contrast to read locks, write locks are hold until the - transaction is commited or rolled back. Holding the write lock until the - end of the transaction is required as the changes to the objects, that - could happen anytime between begin and end of the transaction, are only - persisted if the transaction successfully commits. -

- If a transaction requires a read lock on an object which is write locked - by another transaction, or requires a write lock on an object which is read - or write locked by another transaction, the transaction will block until the - lock is released, or the lock timeout has elapsed. The lock timeout is a - property of the transaction and is specified in seconds. A - org.exolab.castor.persist.LockNotGrantedException - is thrown if the lock could not be acquired within the specified timeout. -

- This locking mechanism can lead to the possibility of a deadlock. The object - lock mechanism provides automatic deadlock detection by tracking blocked - transactions, without depending on a lock wait to timeout. -

- Write locks and exclusive locks are always delegated down to the persistence - storage. In a distributed environment the database server itself provides - the distributed locking mechanism. This approach assures proper concurrency - control in a distributed environments where multiple application servers - access the same database server. -

4.4.2.3. Cache Engine

- The concurrency engine includes a layer that acts as a cache engine. - This layer is particularly useful for implementing optimistic locking and - reducing synchronization with the database layer. It is also used to perform - dirty checks and object rollback. The cache engine is implemented in - org.exolab.castor.persist.CacheEngine and - exposed to the application through the - org.exolab.castor.persist.PersistenceEngine. -

- When an object is retrieved from persistent storage it is placed in the - cache engine. Subsequent requests to retrieve the same object will return - the cached copy (with the exception of pessimistic locking, more below). - When the transaction commits, the cached copy will be updated with the - modified object. When the transaction rolls back, the object will be - reverted to its previous state from the cache engine. -

- In the event of any error or doubt, the cached copy will be dumped from - the cache engine. The least recently used objects will be cleared from - the cache periodically. -

- The cache engine is associated with a single persistence mechanism, - e.g. a database source, and LDAP directory. Proper configuration is - the only way to assure that all access to persistent storage goes - through the same cache engine. -

4.4.2.4. Pessimistic/Optimistic Locking

- The concurrency engine works in two locking modes, based on the type of - access requested by the application (typically through the API). - Pessimistic locking are used in read-write access mode, optimistic locking - are used in exclusive access mode. -

- In optimistic locking mode it is assumed - that concurrent access to the same object is rare, or that objects are - seldom modified. Therefore objects are retrieved with a read lock and - are cached in memory across transactions. -

- When an object is retrieved for read/write access, if a copy of the object - exists in the cache, that copy will be used. A read lock will be acquired - in the cache engine, preventing other Castor transactions from deleting or - modifying the object. However, no lock is acquired in persistent storage, - allowing other applications to delete or modify the object while the Castor - transaction is in progress. -

- To prevent inconsistency, Castor will perform - dirty checking prior to storing the object, - detecting whether the object has been modified in persistent storage. - If the object has been modified outside the transaction, the transaction - will rollback. The application must be ready for that possibility, or - resort to using pessimistic locking. -

- In pessimistic locking mode it is assumed - that concurrent access to the same object is the general case and that - objects are often modified. Therefore objects are retrieved with a write - lock and are always synchronized against the persistence storage. When - talking to a database server, a request to load an object in exclusive mode - will always load the object (unless already loaded in the same transaction) - using a SELECT .. FOR UPDATE which assures no other application - can change the object through direct access to the database server. -

- The locking mode is a property of the chosen access mode. The two access - modes as well as read-only access can be combined in a single transaction, - as a property of the query or object lookup. However, it is not possible - to combine access modes for the same object, in certain cases this will - lead to a conflict. -

- The pessimistic locking mode is not supported in LDAP and similar - non-transactional servers. LDAP does not provide a mechanism to lock - records and prevent concurrent access while they are being used in a - transaction. Although all Castor access to the LDAP server is properly - synchronized, it is possible that an external application will modify - or delete a record while that record is being used in a Castor transaction. -

4.4.2.5. Relations

TBD

4.4.2.6. QueryResults

TBD

4.4.3. Service Providers (SPI)

- Castor supports a service provider architecture that allows different - persistence storage providers to be plugged in. The default implementation - includes an SQL 92 provider and an and an LDAP provider. Additional - providers will be available optimized for a particular database server - or other storage mechanisms. -

- The service provider is defined through two interfaces, - org.exolab.castor.persist.spi.Persistence - and org.exolab.castor.persist.spi.PersistenceQuery. - The first provides creation, deletion, update and lock services, - the second is used to process queries and result sets. Service providers - are obtained through the - org.exolab.castor.persist.spi.PersistenceFactory - interface. -

4.4.3.1. Persistence

- The interface - org.exolab.castor.persist.spi.Persistence defines - the contract between the persistence mechanism and a persistence service - provider. Each persistence storage (i.e. database server, directory server) - is associated with a single persistence engine, which in turn contains a - number of service providers, one per object type. Service providers are - acquired through a - org.exolab.castor.persist.spi.PersistenceFactory - interface, which is asked by each persistence engine to return - implementations for all the object types supported by that persistence - engine. -

- The object's identity is an object that unique identifies the object within - persistent storage. Typically this would be the primary key on a table, or - an RDN for LDAP. The identity object may be a simple type (e.g. integer, - string) or a complex type. -

- The service provider may support the stamp mechanism for efficiently - tracking dirty objects. The stamp mechanism is a unique identifier of - the persistent object that changes when the object is modified in - persistent storage. For example, a RAWID in Oracle or TIMESTAMP in Sybase. - If a stamp is return by certain operations it will be stored with the - object's OID and passed along to the store method. -

- The create method is called to create a new object - in persistent storage. This method is called when the created object's - identity is known. If the object's identity is not know when the object is - made persistent, this method will be called only when the transaction - commits. This method must check for duplicate identity with an already - persistent object, create the object in persistent storage, such that - successful completion of the transaction will result in durable storage, - and retain a write lock on that object for the duration of the transaction. -

- The load method is called to load an object from - persistent storage. An object is passed with the requested identity. If the - object is found in persistent storage, it's values should be copied into the - object passed as argument. If the lock flag is set, this method must create - a write lock on the object at the same time it loads it. -

- The load method is called in two cases, when an - object is first loaded or when an object is synchronized with the database - (reloaded) in exclusive access mode. In the second case this method will - be called with an object that is already set with values that are not - considered valued, and must reset these values. -

- The store method is called to store an object into - persistent storage. The store method is called for an object that was loaded - and modified during a transaction when the transaction commits, as well as - for an object that was created during the transaction. This method must - update the object in persistent storage and retain a write lock on that - object. -

- This method might be given two views of an object, one that is being saved - and one that was originally loaded. If the original view is provided as - well, this method should attempt to perform dirty check prior to storing - the object. Dirty check entails a comparison of the original object against - the copy in persistent storage, to determine whether the object has changed - in persistent storage since it was originally loaded. The class descriptor - will indicate whether the object is interested in dirty checking and which - of its fields should be checked. -

- The delete method is called to delete an object - from persistent storage. The delete method is called when the transaction - commits and expects the object to deleted, if it exists. This method is not - called when the transaction rolls back, objects created during the - transaction with the create method are automatically rolled back by the - persistent storage mechanism. -

- The writeLock method is called to obtain a write - lock on an object for which only a read lock was previously obtained. - The changeIdentity method is called to change - the identity of the object after it has been stored with the old identity. -

4.4.3.2. PersistenceQuery

- The interface - org.exolab.castor.persist.spi.PersistenceQuery - defines the contract between the persistence engine and a query mechanism. -

4.4.4. Enterprise JavaBeans CMP

TBD

-

4.5. Castor JDO Key Generator Support

4.5.1. Introduction

- The key generator gives a possibility to generate identity field - values automatically. During create the value of the - identity field is set to the value obtained from the key generator. - Different algorithms may be used here, both generic and specific - for database server. -

- The key generator for the given class is set in the mapping specification - file (mapping.xml), in the - key-generator attribute of the - class element, for example: -

-<class name="myapp.ProductGroup"
-       identity="id" key-generator="MAX">
-  <field name="id">
-  </field>
-</class>
-      

- The following key generator names are supported in Castor 1.0: -

Table 4.9. Supported key generator names

MAX"MAX( pk ) + 1" generic algorithm
HIGH-LOWHIGH-LOW generic algorithm
UUIDUUID generic algorithm
IDENTITY - Supports autoincrement identity fields in Sybase ASE/ASA, - MS SQL Server, MySQL and Hypersonic SQL -
SEQUENCE - Supports SEQUENCEs in Oracle, PostgreSQL, Interbase and SAP DB -

- Some of these algorithms have parameters, which can be specified - in the key-generator element of the mapping - specification file, for example: -

-<key-generator name="HIGH-LOW">
-  <param name="table" value="SEQ"/>
-  <param name="key-column" value="SEQ_TableName"/>
-  <param name="value-column" value="SEQ_MaxPKValue"/>
-  <param name="grab-size" value="1000"/>
-</key-generator>
-
-<class name="myapp.ProductGroup"
-       identity="id" key-generator="HIGH-LOW">
-  <field name="id">
-  </field>
-</class>

- It is possible to create several key generators with the same - algorithms but different parameters. - In this case you have to specify the alias attribute - in the key-generator element, for example: -

-<key-generator name="SEQUENCE" alias="A">
-  <param name="sequence" value="a_seq"/>
-</key-generator>
-
-<key-generator name="SEQUENCE" alias="RETURNING">
-  <param name="sequence" value="b_seq"/>
-  <param name="returning" value="true"/>
-</key-generator>
-
-<class name="myapp.ProductGroup"
-       identity="id" key-generator="RETURNING">
-  <field name="id">
-  </field>
-</class>
-      

- Below all supported key generators a described in details. -

4.5.2. MAX key generator

- MAX key generator fetches the maximum value of the primary key - and lock the record having this value until the end of transaction. - Then the generated value is set to (MAX + 1). - Due to the lock concurrent transactions which perform insert - to the same table using the same key generator algorithm will wait - until the end of the transaction and then will fetch new MAX value. - Thus, duplicate key exception is almost impossible (see below). - Note, that it is still possible to perform multiple inserts during - the same transaction. -

- There is one "singular" case of this algorithm: the case when the table - is empty. In this case there is nothing to lock, so duplicate key exception - is possible. The generated value in this case is 1. -

- This algorithm has no parameters. Primary key must have type - integer, bigint or numeric. -

4.5.3. HIGH-LOW key generator

- This key generator uses one of the variants of the generic HIGH-LOW - algorithm. It is needed a special auxiliary table ("sequence table") - which has the unique column which contains table names (of the type - char or varchar) and the column which is used - to reserve values of the primary keys (of the type integer, - bigint or numeric). - The key generator seeks for the given table name, reads the last - reserved value and increases it by some number N, which is called - "grab size". Then the lock on the auxiliary table is released, - so that concurrent transactions can perform insert to the same table. - The key generator generates the first value from the grabbed - interval. - During the next (N - 1) invocations it generates the other grabbed - values without database access, and then grabs the next portion. - Note, that the auxiliary table must be in the same database as - the table for which key is generated. So, if you work with multiple - databases, you must have one auxiliary table in each database. -

- If the grab size is set to 1, the key generator each time stores - the true maximum value of the primary key to the auxiliary table. - In this case the HIGH-LOW key generator is basically equivalent to - the MAX key generator. - On you want to have LOW part of the key consisting of 3 decimal - digits, set the grab size to 1000. If you want to have 2 LOW bytes in - the key, set the grab size to 65536. - When you increase the grab size, the speed of - key generation also increases because the average number of - SQL commands that are needed to generate one key is (2 / N). - But that average number of key values that will be skipped (N / 2) - also increases. -

- The HIGH-LOW key generator has the following parameters: -

Table 4.10. parameters of the HIGH-LOW key generator

tableThe name of the special sequencetable.Mandatory
key-columnThe name of the column which contains table namesMandatory
value-column - The name of the column which is used to reserve primary key values - Mandatory
grab-size - The number of new keys the key generator should grab from the sequence - table at a time. - Optional, default="10"
same-connection - To use the same Connection for writing to the sequence table, values: - "true"/"false". This is needed when working in EJB environment, though - less efficient. - Optional, default="false"
globalTo generate globally unique keys, values: "true"/"false".Optional, default="false"
global-key - The name of key, which is used when globally unique keys are generated. - Optional, default="<GLOBAL>"

- If the parameter global is set to true, - the sequence table contains only one row with the value set in parameter - global-key (or "<GLOBAL>" if "global-key was not set") - instead of the table name. This row serves for all tables. -

- Don't forget to set same-connection="true" if you are working in - EJB environment! -

- Note, that the class HighLowKeyGenerator is not final, - so you can extend it in order to implement other variants of HIGH-LOW - algorithm (for example, HIGH/MID/LOW or char key values). -

4.5.4. UUID key generator

- This key generator generates global unique primary keys. - The generated key is a combination of the IP address, the current - time in milliseconds since 1970 and a static counter. - The complete key consists of a 30 character fixed length string. -

- This algorithm has no parameters. Primary key must have type - char, varchar or longvarchar. -

4.5.5. IDENTITY key generator

- IDENTITY key generator can be used only with autoincrement primary - key columns (identities) with Sybase ASE/ASA, MS SQL Server, MySQL and - Hypersonic SQL. -

- After the insert the key generator selects system variable - @@identity which contains the last identity value for - the current database connection. -

- In the case of MySQL and Hypersonic SQL the system functions - LAST_INSERT_ID() and IDENTITY() - are called, respectively. -

This algorithm has no parameters.

4.5.6. SEQUENCE key generator

- The SEQUENCE key generator type is supported in conjunction with the following - DBMS: Derby, Interbase, Oracle, PostgreSQL, and SAP DB. -

It generates keys using database sequence objects.

- The key generator has the following parameters: -

Table 4.11. parameters of the SEQUENCE key generator

sequenceThe name of the sequenceOptional, default="{0}_seq"
returningRETURNING mode for Oracle8i, values: "true"/"false"Optional, default="false"
incrementIncrement for InterbaseOptional, default="1"
trigger - Assume that there is a trigger that already generates key. - Values: "true"/"false" - Optional, default="false"

- Usually one sequence is used for one table, so in general you have to - define one key generator per table. -

- But if you use some naming pattern for sequences, you can use one - key generator for all tables. -

- For example, if you always obtain sequence name by adding "_seq" to - the name of the correspondent table, you can set "sequence" parameter - of the key generator to "{0}_seq" (the default value). -

- In this case the key generator will use sequence "a_seq" for table - "a", "b_seq" for table "b", etc. Castor also allows for inserting - the primary key into the sequence name as well. This is accomplished - by including the {1} tag into the "sequence" parameter. Example: - "{0}_{1}_seq" -

- Actually the SEQUENCE key generator is "4 in 1". - With PostgreSQL it performs "SELECT nextval(sequenceName)" before - INSERT and produces identity value that is then used in INSERT. - Similarly, with Interbase it performs - "select gen_id(sequenceName, increment) from rdb$database" before - INSERT. -

- With Oracle by default (returning=false) and with SAP DB it transforms - the Castor-generated INSERT statement into the form - "INSERT INTO tableName (pkName,...) VALUES - (sequenceName.nextval,...)" and after INSERT it performs "SELECT - seqName.currval FROM tableName" to obtain the identity value. With - Oracle8i it is possible to use more efficient RETURNING mode: to - the above INSERT statement is appened "RETURNING primKeyName INTO - ?" and the identity value is fetched by Castor during INSERT, so - that only one SQL query is needed. -

- In case when your table has an on_Insert trigger which already generates - values for your key, like the following Oracle example: -

-create or replace trigger "trigger_name"
-before insert on "table_name" for each row 
-begin 
-   select "seq_name".nextval into :new."pk_name" from dual;
-end;

- you may set the "trigger" parameter to "true". This will prevent the - "Sequence_name".nexval from being pulled twice (first time in the insert - statement (see above), then in the trigger). Also usefull in combination - with the "returning" parameter set to "true" for Oracle (in this case you - may not specify the sequence name). -

-

4.6. Castor JDO Long Transactions Support

4.6.1. Introduction

- The usual Castor transactions are called here short - transactions: an object is read, modified and written within the - bounds of one transaction. - Long transactions consist of two Castor transactions: - an object is read in the first and written in the second. - Between them the object is sent "outwards" and modified there. - For example, the object may be send to a client application and - dispayed to a user, or it may be sent to a servlet engine and is - displayed on a web page. After that the modified object returns - back and is written to the database in the second transaction. - At this point the object is usually not the same physical instance - as one that was read in the first transaction. - The example code for writing the object in the second Castor - transaction follows: -

-    // a customer go to a webpage to review her personal information.
-    // The servlet then call this server side function: getCustomerInfo
-    public CustomerInfo getCustomerInfo( Integer customNum ) {
-         
-         // in most case, users simply review information and
-         // make no change. Even if they make changes, it often
-         // takes time for them to decide. We don't want to
-         // lock the database row, so commit right after we load.
-         db.begin();
-         CustomerInfo info = (CustomerInfo)
-            db.load( CustomerInfo.class, customNum );
-
-         
-         // we also want to keep track of customers patterns
-         // well...it helps us provide better service.
-         info.setLastVisit( today );
-         db.commit();
-         return info;
-    }
-
-    // Three days passed, the indecisive customer finally agrees to
-    // marry Joe. She changes her last name in the webpage and
-    // clicked the "Submit" button on the webpage.
-    
-    // The servlet then calls updateCustomerInfo to update the
-    // last name for the indecisive customer.
-    public void updateCustomerInfo( CustomerInfo info ) {
-        db.begin();
-        db.update(info);
-        db.commit();
-    }
-         

- Note, that it is natural to read the object in the first - transaction in the read-only mode. -

- Since the time interval between the first and the second - transaction is relatively big, it is desirable to perform dirty - checking, i.e. to check that the object has not been modified - in the database during the long transaction. - For that the object must hold a timestamp: it is set by - Castor during the first Castor transaction and is checked during - the second one. - In order to enable the dirty checking for long transactions, - the object should implement the interface - org.exolab.castor.jdo.TimeStampable - having two methods: long jdoGetTimeStamp() and - void jdoSetTimeStamp(long timeStamp) - - -

4.6.2. Bounded dirty checking

- The advantage of the bounded dirty checking is that it doesn't require - any changes to the database schema. It uses the Castor cache to store - object timestamps. The disadvantage of this algorithm is that it is - bounded by a lifetime of the cached copy of the object. After the - cached copy has been purged, db.update() causes ObjectModifiedException. -

- Thus, parameters of the cache define dirty checking capabilities. - The cache-type attribute is part of the - - <class> element in the XML mapping. Consider the existing cache types: - -

  • none - the bounded dirty checking is impossible

  • - count-limited - the count limit for the cache is a count - limit for the objects of this class that can participate in long - and short transactions simultaneously. -

  • - time-limited - the time limit for the cache is a time limit - for the long transaction. -

  • - unlimited - the bounded dirty checking gives correct results - while the cache exists, i.e. until the crash of the server. -

-

4.6.3. Long transactions that do not depend on cache

- For long transactions (detached objects) it was required - that the entity has been kept in cache from being loaded until its update. - If the entity was expired from cache before the update an - ObjectModifiedException had been thrown. While this is no - problem if all entities of an application can be kept in - cache all the time, it is one for large scale applications - with millions of entities. -

- With release 1.3 we have changed the handling of timestamps. - While it is still possible to rely on cache only it is now - also possible to persist the timestamp together with the - other properties of the entity. Doing so will ensure that - the timestamp do not change even if the entity got expired - from cache from being loaded until it gets updated. If this - happens the entity gets reloaded during update which also - loads the previous timestamp. Having said that it still is - possible that an ObjectModifiedException is thrown when - another user has changed the same entity in the meantime. -

See an example entity and its mapping below:

-public class Entity implements TimeStampable {
-    private Integer _id;
-    private String _name;
-    private long _timeStamp;
-    
-    public Integer getId() { return _id; }
-    public void setId(final Integer id) { _id = id; }
-    
-    public String getName() { return _name; }
-    public void setName(final String name) { _name = name; }
-    
-    public long getTimeStamp() { return _timeStamp; }
-    public void setTimeStamp(final long timeStamp) {
-        _timeStamp = timeStamp;
-    }
-    
-    public long jdoGetTimeStamp() { return _timeStamp; }
-    public void jdoSetTimeStamp(final long timestamp) {
-        _timeStamp = timestamp;
-    }
-}       
-<class name="Entity">
-    <cache-type type="time-limited" capacity="300"/>
-    <map-to table="entity"/>
-    <field name="id" type="integer" identity="true">
-        <sql name="id" type="integer"/>
-    </field>
-    <field name="name" type="string">
-        <sql name="name" type="char"/>
-    </field>
-    <field name="timeStamp" type="long">
-        <sql name="timestamp" type="numeric" />
-    </field>
-</class>
-        
-

4.7. Nested Attributes

4.7.1. Introduction

- In some cases it is desirable to map a plain sequence of fields - in a database record to more complicated structure of attributes - in a Java object, where the target attributes are contained (nested) - in other attributes. - In brief, you can specify a path to the target attribute as a name - of the field in a configuration file, and Castor is able to handle - such nested attributes. - For example: -

-<field name="address.country.code"...>
-  <sql name="person_country"/>
-</field>
-	        

-

4.7.2. Application types

- The first case is an attribute of an application type that is - a container for some value of a Java type supported by Castor. - Usually the application type also has some business methods. - Examples are: class Balance that contains a BigDecimal value and - has some accounting-specific methods; - class CountryCode that contains a String value and has - methods validate(), getDisplayName(), etc.; class Signature that - contains a byte[] value and has some security-specific methods. - In order to use such type with Castor you should provide - a pair of methods to get/set the value of the Castor-supported type, - e.g. getBigDecimal/setBigDecimal, getCode/setCode, getBytes/setBytes. -

- Assume that you have the class Address -

-public class Address {
-    private CountryCode _country;
-    private String      _city;
-    private String      _street;
-
-    public CountryCode getCountry() {
-        return _country;
-    }
-
-    public void setCountry(CountryCode country) {
-        _country = country;
-    }
-    ...
-}
-	        

- where the class CountryCode is like this -

-public class CountryCode {
-    private String _code;
-    private static String[] _allCodes;
-    private static String[] _allDisplayNames;
-
-    public String getCode() {
-        return _code;
-    }
-
-    public void setCode(String code) {
-        _code = code;
-    }
-
-    public void getDisplayName() {
-    ...
-}
-	        

- then write in the configuration file: -

-<class name="Address"...>
-  <field name="country.code"...>
-    <sql name="addr_country"/>
-  </field>
-  ...
-</class>
-	        

- When reading the object from the database Castor will use -

-object.getCountry().setCode(value);
-	        

- to set the nested attribute value. - Moreover, if object.getCountry() is null, Castor will create the - intermediate object of the application type: -

-country = new CountryCode();
-country.setCode(value);
-object.setCountry(country);
-	        

- When writing the object to the database Castor will use -

-value = object.getCountry().getCode();
-	        

- to get the value of the correspondent database field. -

4.7.3. Compound types

- The second case is an attribute that is a part of a compound - attribute, which contains several database fields. - For example, database fields person_country, person_city, - person_street of the table PERSON - correspond to one compound attribute "address" of the class - Person: -

-public class Person {
-    private String  _firstName;
-    private String  _lastName;
-    private Address _address;
-
-    public Address getAddress() {
-        return _address;
-    }
-
-    public void setAddress(Address address) {
-        _address = address;
-    }
-    ...
-}
-        

- where the class Address is the same as in the - previous section. Then write in the configuration file: -

-<class name="Person"...>
-  <field name="address.country.code"...>
-    <sql name="person_country"/>
-  </field>
-  <field name="address.city"...>
-    <sql name="person_city"/>
-  </field>
-  <field name="address.street"...>
-    <sql name="person_street"/>
-  </field>
-  ...
-</class>
-        

- Similarly to the previous section, Castor will use a proper - sequence of get/set methods to access the nested attributes and - will create the intermediate objects when necessary. - Don't forget to provide parameterless constructors for the - container classes. -

-

4.8. Using Pooled Database Connections

4.8.1. News

  • - 10/22/2004: - Added JDBC Datasource configuration for mySQL. -

  • - 9/14/2004: - Added section about using Jakarta's DBCP with Castor. -

4.8.2. Pooling Agents

- There is no mechanism within Castor JDO to provide pooling of - JDBC drivers. Rather, Castor JDO relies on the drivers or - external driver wrappers to implement a pooling mechanism. - Some drivers, such as Oracle, provides a pooling mechanism in - the driver. For those that do not, there are tools such as - Proxool - and Jakarta's - DBCP - project. -

- Here, I'll go over the various usage of the PostgreSQL driver - with Castor. We start with the most basic configurations - that do not use any pooling, to those with pooling via DBCP. - I'll include how to configure the pooling version of the - PostgreSQL JDBC driver ths will be usable with PostgreSQL 7.3 and - later, how to setup a Tomcat JNDI context that Castor can use to get - a pooled JDBC connection. Finally, I'll explain how to configure a - BasicDataSource from the DBCP package using the - <data-source> element. -

4.8.3. Standard Database Connections

- A standard jdo-conf.xml entry for using PostgreSQL without pooling - looks like this: -

-
-<driver class-name="org.postgresql.Driver"
-        url="jdbc:postgresql://localhost/app">
-  <param name="user" value="smith"/>
-  <param name="password" value="secret" />
-</driver>
-        

- On the other hand, if you wanted to use the PostgresqlDataSource, you - would use the data-source tag instead, and the connection entry would - look like this: -

-<data-source class-name="org.postgresql.PostgresqlDataSource">
- <param name="server-name" value="localhost" />
- <param name="database-name" value="app" />
- <param name="user" value="smith" />
- <param name="password" value="secret" />
-</data-source>
-      

- (Note that only versions before 7.3 of the PostgreSQL JDBC driver - include this class) -

4.8.4. Pooling and JDBC DataSources

4.8.4.1. PostgreSQL 7.3 and later

- In the 7.3 release of PostgreSQL, they will start providing a - pooling mechanism with their driver. The Castor SVN repository - includes a beta version of the driver with this functionality. - Here is the 'current' configuration needed for the upcoming 7.3 - release of PostgreSQL. (Unless they change it.) Note that in this - pooling mechanism currently lacks some features of standrd pooling - packages such as DBCP, such as timing out idle connections and removing - failed connections from the pool. In this case, we can create the - following data-source entry in the jdo-conf.xml file to provide - for our connections with Castor. -

-<data-source class-name="org.postgresql.jdbc2.optional.PoolingDataSource">
- <param name="server-name" value="localhost" />
- <param name="database-name" value="app" />
- <param name="initial-connections" value="2" />
- <param name="max-connections" value="10" />
- <param name="user" value="smith" />
- <param name="password" value="secret" />
-</data-source>
-
-            

4.8.4.2. Oracle

- Here is the configuration needed for using a connection pool - with the Oracle JDBC DataSource implementations. -

-   <data-source class-name="oracle.jdbc.pool.OracleConnectionCacheImpl">
-      <param name="URL" value="jdbc:oracle:thin:@localhost:1521:TEST" />
-      <param name="user" value="scott" />
-      <param name="password" value="tiger" />
-   </data-source>
-            
-            

4.8.4.3. mySQL

- Here is the configuration needed for using a connection pool - with the mySQL JDBC DataSource implementations. -

        
-
-<data-source class-name="com.mysql.jdbc.jdbc2.optional.MysqlConnectionPoolDataSource">
-   <param name="server-name" value="localhost" />
-   <param name="port" value="3306" />
-   <param name="user" value="scott" />
-   <param name="password" value="tiger" />
-   <param name="database-name" value="test" />
-</data-source>
-
-            

4.8.5. Configuring JDBC DataSources in Tomcat to be used with Castor

- Finally, I want to show the configuration for using a pooling - data-source for Castor which is retrieved from a JNDI context - that Apache fills. The first example is using the PostgreSQL - pooling data-source, and the second is using Castor. The - information to gain here is that we did not need to change the - jdo-conf.xml file or the webapp's web.xml file to achieve - this. -

- First, we modify the deployment context for the webapp in Tomcat >= 4.0 for our - webapp in the conf/server.xml directory. (With Tomcat/Catalina releases 4.0 and higher - there's more than one way of adding a - <Resource> entry. Please consult with the - manuals for more and more detailed information). -

- We add the following information (using the PostgreSQL JDBC DataSource - implementations as introduced above.): -

-	        
-<Context path="/webapp" docBase="test" debug="10">
- <Resource name="jdbc/appDb" auth="Container"
-            type="org.postgresql.jdbc2.optional.PoolingDataSource"/>
-   <ResourceParams name="jdbc/appDb">
-    <parameter>
-      <name>factory</name>
-      <value>org.postgresql.jdbc2.optional.PGObjectFactory</value>
-    </parameter>
-    <parameter>
-     <name>dataSourceName</name>
-     <value>appDb</value>
-    </parameter>
-    <parameter>
-     <name>initialConnections</name>
-     <value>2</value>
-    </parameter>
-    <parameter>
-      <name>maxConnections</name>
-      <value>5</value>
-    </parameter>
-    <parameter>
-      <name>databaseName</name>
-      <value>app</value>
-    </parameter>
-    <parameter>
-      <name>user</name>
-      <value>smith</value>
-    </parameter>
-    <parameter>
-      <name>password</name>
-      <value>secret</value>
-    </parameter>
-    <parameter>
-      <name>serverName</name>
-      <value>localhost</value>
-    </parameter>
-  </ResourceParams>
-</Context>
-	     

- Here, we are using the PostgreSQL PGObjectFactory which - provides the JNDI server (Tomcat) the ability to create the - correct data source. Now, the web.xml file for the webapp - needs to be updated too. -

        
-	        
-<resource-env-ref>
-  <description>PostgreSQL pooling check</description>
-  <resource-env-ref-name>jdbc/appDb</resource-env-ref-name>
-  <resource-env-ref-type>javax.sql.DataSource</resource-env-ref-type>
-</resource-env-ref>
-	
-	      

- Note that we are only calling the ref type a DataSource - object, not using the PostgreSQL class name. This will - enable us to make changes easily. Now, in the jdo-conf.xml - file that Castor uses, we no longer list the driver or - data-source tag, but use the JNDI one, and it is simply this: -

-	         
-<jndi name="java:comp/env/jdbc/appDb"/>
-	     

4.8.6. Jakarta Commons DBCP - BasicDataSource

- Commons-DBCP provides database connection pooling services, and together with - Commons-Pool - it is the default JNDI datasource provider for Tomcat. -

- With release 1.1 of the Jakarta Commons DBCP component, one of the major - new features of the JDBC 3.0 API has (finally) been added to - BasicDataSource, support for prepared statement pooling. -

- To configure Castor for the use of DBCP, please provide the following - <data-source> entry in the jdo-conf.xml file. -

-       
-<data-source class-name="org.apache.commons.dbcp.BasicDataSource">
-  <param name="driver-class-name" value="com.mysql.jdbc.Driver" />
-  <param name="username" value="test" />
-  <param name="password" value="test" />
-  <param name="url" value="jdbc:mysql://localhost/test" />
-  <param name="max-active" value="10" />
-</data-source>
-        

4.8.6.1. Prepared statement pooling

- As mentioened above, please note that with DBCP 1.1 and later - releases, support for prepared statement pooling has been added - to DBCP. As Castor JDO does not - implement prepared statement pooling itself, you will to configure - DBCP explicitely to enable this feature. -

- To configure Castor for the use of DBCP, and to turn prepared statement - pooling on, please provide the following - <data-source> entry in the - jdo-conf.xml file. -

-            
-<data-source class-name="org.apache.commons.dbcp.BasicDataSource">
-  <param name="driver-class-name" value="com.mysql.jdbc.Driver" />
-  <param name="username" value="test" />
-  <param name="password" value="test" />
-  <param name="url" value="jdbc:mysql://localhost/test" />
-  <param name="max-active" value="10" />
-  <param name="pool-prepared-statements" value="true" />
-</data-source>
-            

- There's plenty of information on - configuration - of BasicDataSource. -

-

4.9. Blobs in PostgreSQL

4.9.1. OID Support

- PostgreSQL's blob support has evolved over the years. Today - PostgreSQL fields can be of unlimited length. And there are - specific data types for character and binary large objects. - The current Castor support for blobs, however, uses an earlier - PostgreSQL blob support. This support places the blob data in - the pg_largeobject table and a object id in the referring - table. For most practical purposes using this earlier support - does not matter. -

- Database version and the JDBC driver version matter greatly. To get - everything to work I eventually built and installed PostgreSQL 7.2.2 and - used the JDBC driver from this build (i.e. not the one from - http://jdbc.postgresql.org. -

- Since Castor is using the earlier blob support the JDBC has to be - placed in PostgreSQL 7.1 comparability mode. To do this use the - following JDBC URL -

-	      jdbc:postgresql://host:port/database?compatible=7.1      

- Once you have resolved the PostgreSQL version issues Castor - works as documented. -

4.9.2. OID Example

- Here are the details of an example configuration. -

-	      Client Windows 2000, Sun Java Standard Edition 1.3.1_03, Castor 0.9.3.21
-	      Server RedHat 7.2, PostgreSQL 7.2.2     

- The interface I am using is -

-	    
-	    public interface Document {
-	        String      getTitle();
-	        void        setTitle( String title );
-	        Date        getCreatedOn();
-	        void        setCreatedOn( Date createdOn );
-	        String      getContentType();
-	        void        setContentType( String contentType );
-	        InputStream getContent();
-	        void        setContent( InputStream content );
-	    }
-	    

- and this is implemented by the class DocumentImpl. -

The mapping file is

-	    
-  <?xml version="1.0"?>
-    <mapping>
-     <class
-         name="com.ingenta.DocumentImpl"
-         identity="id"
-         key-generator="SEQUENCE" >
-         <description />
-         <cache-type type="none" />  
-         <map-to table="documents" />
-         <field name="id" type="integer" >
-             <sql name="id" type="integer" dirty="check" required="true"/>
-         </field>
-         <field name="title" type="string">
-             <sql name="title" type="longvarchar" dirty="check" />
-         </field>
-         <field name="createdOn" type="date">
-             <sql name="createdon" type="date" dirty="check" />
-         </field>
-         <field name="contentType" type="string">
-             <sql name="contenttype" type="longvarchar" dirty="check" />
-         </field>
-         <field name="content" type="stream">
-             <sql name="content" type="blob" dirty="ignore" />
-         </field>
-     </class>
- </mapping>
-	 

Note that the blob is not dirty checked.

And the SQL is

-	    
-    create table documents (
-        id          serial    not null,
-        title       text      null,
-        createdon   timestamp null,
-        contenttype text      null,
-        content     oid       null,
-        primary key ( id )
-    );
-	    

- Castor caches objects between transactions for performance. With - a blob however the cached object's InputStream is not - reusable. To workaround this I have told the cache to not cache - any objects of this class by adding to the class mapping, as - noted above. -

-

4.10. Castor JDO - Best practice

4.10.1. Introduction

- There's many users of Castor JDO out there, who (want to) use Castor JDO in - in high-volume applications. To fine-tune Castor for such environment, it is - necessary to understand many of the product features in detail and to be able to - balance their use according to the application needs. Even though many of these - features are detailed in various places, people have frequently been asking - for a 'best practise' document, a document that brings together these technical - topics (in one place) and presents them as a set of easy-to-use recipes. -

- Please be aware that this document is under construction, - but still we believe that - even when in its conception phase - - it provides valuable information to users of Castor JDO. -

4.10.2. General suggestions

- Let's start with some general suggestions that you should have a look at. Please don't - feel upset if some are really primitive but there may be users reading this document - that are not aware of them. -

  1. - Switch to version 0.9.9 of Castor as we have fixed some 100+ bugs - that may causesome of your problems. -

    - Sidenote: Performance has, generally, improved recently. - If you're not seeing performance improvements, then it's worth - spending some time thinking about why. -

  2. - Initialize your JDOManager instance once and reuse it all over - your application. Don't reuse the Database instances. - Creating them is inexpensive, and JDBC rules state that one thread - <-> one JDBC connection is the rule. Do not multithread inside - of a Database instance; as a corrolary, do not multithread on a - single JDBC connection. -

  3. - Use a Datasource instead of a Driver configuration as they enable - connection pooling which gives you a great performance improvement. -

    - We highly suggest DBCP, here, with the beneficial use of prepared - statement caching. -

    - Should you be running on a system where read performance is - critical, feel free to take the SQL code generated by castor, - and dumped to logs during the DB mapping load in debug output, - and turn those into stored procedures that you then invoke via - SQL CALL to perform those loads; however, I find personally that - stored procedures would be a minimal improvement over the DBCP - prepared statement cache; your mileage may vary. - db.load() has performance benefits that - are worth keeping, IMO, and the pleasure of having pretty stored - procedures in your database is far outweighed by the nightmare - of change management. -

    - Have a look at - the - HTML docs for Jakarta DBCP, which has details about how to - use and configure DBCP with Castor and Tomcat. -

    [Note]Note

    - 'prepared statement caches' refer to the fact that DBCP is a - JDBC 3.0-compliant product, and as such has to support caching - of prepared statements. This basically allows the JDBC driver - to maintain a pool of prepared statements across all - connections, a feature that has been added to the JDBC - specification with release 3.0 only. -

    - DBCP setup is generally outside of the scope of this list, - but basically, here's my two cent description: -

    -

    • - Use tomcat 5.5, because mucking about in server.xml sucks. - For those of you working with Tomcat 4.1.x, there's no need - to muck about in server.xml, either. Afaik, a web app can be - deployed using a web app descriptor copied into - $TOMCAT_HOME/webapps, which is the place top define anything - specific to a web app context. Details can vary, of course. -

    • - Create a META-INF directory in your WAR deploy scripts, and put a - context.xml in it. -

    • - In that context.xml, describe all of the things you want - to be made available via JNDI to your application. - These include things like UserTransaction and - TransactionManager (for those of us using JOTM), all your - database connection pools as datasources, etc. You can also - add your JDO factory here, should you choose to do so. -

    • - Configure Castor to load those JNDI names to retrieve connections. -

    -

    Hit the deploy button, and bob's your uncle.

  4. - Always commit or rollback your transactions and close your Database - instances properly; also in fail situations. -

    [Note]Note

    - Just the obvious general rule on Java objects that hold - resources: Don't wait for the VM to finalize to have something - happen to your objects when you could have released critical - resources at the appropriate point in the codebase. -

  5. - Keep your transactions as short as possible. If you have an open - transaction that holds a write lock on an object no other - transaction can get a write lock on the same object which will - lead to a LockNotGrantedException. -

    -execute() {
    -   Database db = jdo.getDatabase();
    -   db.begin();
    -   // query objects from database with read only
    -   db.commit();
    -   db.close();
    -
    -   // do some time consuming processing with the data
    -
    -   Database db = jdo.getDatabase();
    -   db.begin();
    -   // use db.load() to load the objects you need to change again
    -   // create, update or delete some objects
    -   db.commit();
    -   db.close();
    -}               

    - It doesn't make sense to make a own transaction for every change - you want to do to an object as this will slow down your application. - On the other hand if you have transactions with lots of objects - involved taking an valuable amonth of time you may consider to - split this transactions to reduce the time an object is locked. -

    - Also keep in mind that folks using lockmode of DBLocked do - FOR UPDATE calls on things they read while - the transaction is open; if you're using dblocked mode, be aware - of how your application does things. If you're in one of the - other modes, locks happen inside castor, and it's your - responsibility to always use the right access mode when accessing - content. -

    - If you can, for example, decide at the API layer whether or not an - operation is going to ever need to modify an object, and know that - you will only ever use an instance in read only mode, load objects - with access mode read only, and not shared. -

    - Limit use of read-write objects to situations in which it is likely - you will need to perform updates. -

    - Imagine, for a moment, that these transactions were in DBLocked - mode - transactions which translate directly into locks on the - database. -

    - If you're opening something up for modification on the DB - - marking it as select FOR UPDATE - - then that row will be locked until you commit. - The database would prevent any other transaction that wants to - touch that row from doing anything to it, and it would block on - your transaction - deadlock at the SQL level. -

    - Castor does the same things internally for its own access modes - - Shared and Exclusive. Each has different locking semantics; - having good performance means understanding those locking semantics. -

    - For example - read only transactions (should be) cheap. - So there's no issue with holding those transactions open a - long time; because they only translate, for an instant, into - a lock. The lock is released the moment the load is completed - and the object is dropped into read-only state within your - transaction; read only operations therefore operate, pretty much, - without locking. -

    - The lock is of course acquired because you might also have it in - SHARED or EXCLUSIVE mode on another thread - and that read-only - operation isn't safe until those transactions close. -

    - Once the lock is released, you're lock-free again, so the - transaction basically has nothing in it that needs anything doing. -

    - That's not to say that holding transactions open is good practice - - but transactions should always be thought of as cheap to create - and destroy and expensive to hold on to - never do heavy - computation inside of one, unless you're willing to live with the - consequences that arise from holding transactions on object sets - that others might need to access. -

  6. - Query or load your objects read only - whenever possible. Even if castor creates a lock on them this does - not prevent other threads from reading or writing them. Read only - queries are also about 7 times faster compared with default - shared mode. -

    for queries:

    -String oql = "select o from FooBar o";
    -Query query = db.getOQLQuery(oql);
    -QueryResults results = query.execute(Database.ReadOnly);

    to load an object by its identity:

    -Integer id = new Integer(7);
    -Foo foo = (Foo) db.load(Foo.class, id, Database.ReadOnly);

    Default accessmode is evaluated as follows:

    -

    • - if specified castor uses access mode from db.load() - or query.execute(), -

    • - if this is not available it takes access mode specified - in class mapping, -

    • - if nothing is specified in mapping it defaults to shared. -

    -

    - One cannot stress how important this is: If 99% of your application - never writes an object, and you as a programmer know it won't, - then do something about it. If you're in a situation where you want - the object to be read-only most of the time, and only want a - writable every now and then, do so just-in-time by performing a - load-modify-store operation in a single transaction for the - shareable you want.

    - In other words: Don't use read-write objects unless you know you're likely - to want to write them. -

  7. - If there is a possibility you should prefer - Database.load(Class, object) over - Query.execute(String). I suggest that as - load() first tries to load the requested - object from cache and only retrieves it from database when it is - not available there. When executing queries with - Query.execute() the object will always - be loaded from database without looking at the cache. You may gain - a improvement by a factor of 10 and more when changing from - Query.execute() to - Database.load(). -

4.10.3. Further optimization

- We hope above suggestions help you to resolve the problems you have. - If you still need more performance there are areas of improvement - that are more difficult to resolve. For further ideas to improve - your applications performance you should take a loock at out performance - test suite (PTF) which you can find in Castor's source distribution under: - src/tests/ptf/jdo. -

- Now, there's lots left to do - there is still the issue, for example, - of dependent objects being slightly sub-optimal in performance both in - terms of the SQL that gets generated and the way it gets managed - - but there will be improvements over time to the way that this and - other operations are performed. -

- But performance should be good right now. If it isn't, you'll need to - think about whether you are using the optimal set of operations. - No environment can predict your requirements - hinting to the system when - objects can be safely assumed to be read-only is vital to a - high-performance implementation. -

- -
\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/css/highlight.css b/src/site/resources/reference-guides/1.4.0/html-single/css/highlight.css old mode 100755 new mode 100644 index ffefef72d..525efc429 --- a/src/site/resources/reference-guides/1.4.0/html-single/css/highlight.css +++ b/src/site/resources/reference-guides/1.4.0/html-single/css/highlight.css @@ -1,35 +1,35 @@ -/* - code highlight CSS resemblign the Eclipse IDE default color schema - @author Costin Leau -*/ +/* + code highlight CSS resemblign the Eclipse IDE default color schema + @author Costin Leau +*/ .hl-keyword { - color: #7F0055; + color: #7F0055; font-weight: bold; -} +} + +.hl-comment { + color: #3F5F5F; + font-style: italic; +} -.hl-comment { - color: #3F5F5F; - font-style: italic; -} - -.hl-multiline-comment { - color: #3F5FBF; - font-style: italic; -} - -.hl-tag { - color: #3F7F7F; -} - -.hl-attribute { - color: #7F007F; -} - -.hl-value { - color: #2A00FF; -} - -.hl-string { - color: #2A00FF; +.hl-multiline-comment { + color: #3F5FBF; + font-style: italic; +} + +.hl-tag { + color: #3F7F7F; +} + +.hl-attribute { + color: #7F007F; +} + +.hl-value { + color: #2A00FF; +} + +.hl-string { + color: #2A00FF; } \ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/css/html.css b/src/site/resources/reference-guides/1.4.0/html-single/css/html.css old mode 100755 new mode 100644 index 87d7d7c89..51a75f476 --- a/src/site/resources/reference-guides/1.4.0/html-single/css/html.css +++ b/src/site/resources/reference-guides/1.4.0/html-single/css/html.css @@ -1,5 +1,5 @@ -@IMPORT url("highlight.css"); - +@IMPORT url("highlight.css"); + body { text-align: justify; margin-right: 2em; @@ -197,9 +197,9 @@ tt { div.navfooter table { border-style: dashed; border-color: gray; - border-width: 1px 1px 1px 1px; + border-width: 1px 1px 1px 1px; /* Cocoon specific change */ - background-color: #eeeeee; + background-color: #eeeeee; /* END */ } @@ -275,10 +275,10 @@ div.calloutlist * td { text-align: justify; font-size: 100%; } - -.programlisting { - clear: both; -} + +.programlisting { + clear: both; +} .programlisting .interfacename, .programlisting .literal, @@ -304,28 +304,28 @@ div.calloutlist * td { .answer * p { font-size: 100%; -} - -#top { - background: transparent url(../images/top-background.jpg) repeat-x scroll 0%; - position: absolute; - top: 0px; - margin: 0px; - left: 0px; - width: 100%; -} - -/* Cocoon specific changes */ -.logoImage { - margin: 30px 0pt 0pt 34px; -} - -#header { - background: transparent url(../images/logo-background.jpg) no-repeat scroll 0%; - height: 129px; -} - -.mhSpacer { - padding: 129px 0 0 0; -} +} + +#top { + background: transparent url(../images/top-background.jpg) repeat-x scroll 0%; + position: absolute; + top: 0px; + margin: 0px; + left: 0px; + width: 100%; +} + +/* Cocoon specific changes */ +.logoImage { + margin: 30px 0pt 0pt 34px; +} + +#header { + background: transparent url(../images/logo-background.jpg) no-repeat scroll 0%; + height: 129px; +} + +.mhSpacer { + padding: 129px 0 0 0; +} /* END */ \ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/ddlgen.html b/src/site/resources/reference-guides/1.4.0/html-single/ddlgen.html deleted file mode 100755 index 3956dcc7a..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/ddlgen.html +++ /dev/null @@ -1,168 +0,0 @@ - - - Chapter 7. DDL generator for Castor JDO

Chapter 7. DDL generator for Castor JDO

7.1. Castor DDL Generator - An Introduction

- Describes how to use the DDL Generator, and what features and options are - currently supported. -

- Castor DDL Generator creates SQL scripts to drop/create tables, unique keys, - sequences and so on based on the input of a Castor JDO mapping file. -

-java org.castor.ddlgen.Main -m mapping.xml
-	

- This will generate the SQL script mapping.sql in the same directory - mapping.xml is located. -

7.1.1. DDL Generator Options

- The DDL Generator has a number of different options which may be set. Some of - them are specified at the command line while others need to be configured through - a property file. Most of the options are located in global properties file - org/castor/ddlgen/ddlgen.properties, but there are also some - options that are specific for one database engine. These DB-specific properties can - be found at org/castor/ddlgen/engine/<database>/<database>.properties. -

7.1.1.1. Command Line Options

Table 7.1. Command line options

OptionArgsDescriptionOptional?
mfilenameCastor JDO mapping file to generate DDL for.Required
ofilenameName of file the generated DDL will be written to. If not specified the - generated DDL will be written to a file named similar as the Castor JDO - mapping source file with xml extension being replaced by - sql.Optional
edatabase engineName of database engine to generate DDL for. The engine used as default - can be specified with org.castor.ddlgen.DefaultEngine option of - global properties file.Optional
cfilenameAlternative global properties file to be used when generating DDL.Optional
dfilenameAlternative database specific properties file to be used when generating DDL.Optional
h Shows help/usage information.Optional

7.1.2. Database Engines

- The DDL Generator supports generation of SQL scripts for the following - database engines: -

Table 7.2. Description of the attributes

NameDatabase engineProperty file
db2DB/2org/castor/ddlgen/engine/db2/db2.properties
derbyApache Derbyorg/castor/ddlgen/engine/derby/derby.properties
hsqlHypersonic SQLorg/castor/ddlgen/engine/hsql/hsql.properties
mssqlMicrosoft SQL Serverorg/castor/ddlgen/engine/mssql/mssql.properties
mysqlMySQLorg/castor/ddlgen/engine/mysql/mysql.properties
oracleOracleorg/castor/ddlgen/engine/oracle/oracle.properties
pointbaseBorland Pointbaseorg/castor/ddlgen/engine/pointbase/pointbase.properties
postgresqlPostgreSQLorg/castor/ddlgen/engine/postgresql/postgresql.properties
sapdbSAP DB / MaxDBorg/castor/ddlgen/engine/sapdb/sapdb.properties
sybaseSybaseorg/castor/ddlgen/engine/sybase/sybase.properties

7.2. Using the Ant task for the Castor DDL Generator

- Describes how to use the Ant task for the Castor DDL Generator and its features. -

- An alternative to using the command line as shown in the previous section, - the Castor DDL Generator Ant Task can be used to call the DDL - generator for class generation. The only requirement is that the - castor-<version>-anttasks.jar must be made available to your Ant - installation. -

7.2.1. Configuration

- Please find below the complete list of parameters that can be set on the Castor - source generator. -

Table 7.3. 

AttributeDescriptionRequired?
fileThe name of the Castor JDO mapping file to use as input for DDL generation.Yes
ddlFileNameThe name of the DDL file to be generated.Yes
databaseEngineThe name of database engine to generate DDL for.Yes
globalPropertiesName of a custom (global) properties file to be used during DDL generation.No
databaseEnginePropertiesName of a custom database specific properties file to be used during DDL generation.No

- Alternatively to specifying the file property, it is possible to work - with a nested <FileSet> element or with the dir property. -

7.2.2. Example

- Below is an example of how to use this task from within an Ant target - definition named 'castor:ddl:src': -

-<target name="castor:ddl:src" depends="init"
-           description="Generate a DDL script from a JDO mapping file.">
-
-  <taskdef name="castor-ddlgen"
-           classname="org.castor.anttask.CastorDDLGenTask"
-           classpathref="castor.class.path" />
-  <mkdir dir="generated" />
-  <castor-ddlgen file="src/main/resources/mapping.xml"
-                 ddlFileName="target/generated/ddl/mapping.sql"
-                 databaseEngine="mysql"/>
-</target>
-		

7.3. Castor DDL Generator - Type Mapping

- This section describes the mapping between Castor sql type java.sql.Types - constant, java data type, sql type of supported database. -

Table 7.4. 

Castor TypeJDBC TypeJava Object TypeMySQLPostgreSQLOracleDerbyMSSQLSapDBDB2SybaseHSQLPointBase
BITBITjava.lang.BooleanTINYINT(1)BOOLEANBOOLEANCHAR FOR BIT DATABITBOOLEAN BITBITBOOLEAN
TINYINTTINYINTjava.lang.ByteTINYINTSMALLINTSMALLINTSMALLINTTINYINTSMALLINTSMALLINTTINYINTTINYINTSMALLINT
SMALLINTSMALLINTjava.lang.ShortSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINT
INTEGERINTEGERjava.lang.IntegerINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGER
BIGINTBIGINTjava.lang.LongBIGINTBIGINTNUMERICBIGINTBIGINTINTEGERBIGINTINTEGERBIGINTNUMERIC
FLOATFLOATjava.lang.DoubleFLOATDOUBLE PRECISIONFLOATFLOATFLOATFLOATFLOATFLOATFLOATFLOAT
DOUBLEDOUBLEjava.lang.DoubleDOUBLEDOUBLE PRECISIONDOUBLE PRECISIONDOUBLEDOUBLE PRECISIONDOUBLE PRECISIONDOUBLEDOUBLE PRECISIONDOUBLE PRECISIONDOUBLE PRECISION
REALREALjava.lang.FloatREALREALREALREALREALDOUBLE PRECISIONREALREALREALREAL
NUMERICNUMERICjava.math.BigDecimalNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERIC
DECIMALDECIMALjava.math.BigDecimalDECIMALNUMERICDECIMALDECIMALDECIMALDECIMALDECIMALDECIMALDECIMALDECIMAL
CHARCHARjava.lang.StringCHARCHARCHARCHARCHARCHARCHARCHARCHARCHAR
VARCHARVARCHARjava.lang.StringVARCHARVARCHARVARCHAR2VARCHARVARCHARVARCHARVARCHARVARCHARVARCHARVARCHAR
DATEDATEjava.sql.DateDATEDATEDATEDATEDATETIMEDATEDATEDATETIMEDATEDATE
TIMETIMEjava.sql.TimeTIMETIMEDATETIMEDATETIMETIMETIMEDATETIMETIMETIME
TIMESTAMPTIMESTAMPjava.sql.TimestampTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMP
BINARYBINARYbyte[]BINARYBYTEARAWCHAR [n] FOR BIT DATABINARYBLOBCHAR [n] FOR BIT DATABINARYBINARYBLOB
VARBINARYVARBINARYbyte[]VARBINARYBYTEALONG RAWVARCHAR [] FOR BIT DATAVARBINARYBLOBVARCHAR [] FOR BIT DATAVARBINARYVARBINARYBLOB
LONGVARBINARYLONGVARBINARYbyte[]VARBINARYBYTEALONG RAWLONG VARCHAR FOR BIT DATAIMAGEBLOBLONG VARCHAR FOR BIT DATAVARBINARYLONGVARBINARYBLOB
OTHEROTHERjava.lang.ObjectBLOBBYTEABLOBBLOBIMAGEBLOBBLOBIMAGEOTHERBLOB
JAVA_OBJECTJAVA_OBJECTjava.lang.ObjectBLOBBYTEABLOBBLOBIMAGEBLOBBLOBIMAGEOBJECTBLOB
BLOBBLOBjava.io.InputStreamBLOBBYTEABLOBBLOBIMAGEBLOBBLOBIMAGEOBJECTBLOB
CLOBCLOBjava.sql.ClobTEXTTEXTCLOBCLOBTEXTCLOBCLOBTEXTOBJECTCLOB

7.3.1. JDBC Types not supported by Castor

- The following JDBC types are not supported by Castor yet. -

  • ARRAY
  • DISTINCT
  • REF
  • STRUCT

7.4. Castor DDL Generator - Properties

- Describes the properties available on the Castor DDL Generator. -

7.4.1. Overview

- At startup, the DDL Generator first evaluates the command line options. - Next it loads the global properties on the command line if specified, - otherwise the default properties included with the DDL Generator. - There are two important properties loaded at startup: -

org.castor.ddlgen.Generators

tells the DDL Generator about the supported database engines.

org.castor.ddlgen.DefaultEngine

The database engine for which to generate a SQL script. Can be overridden on the command line

- The last step at startup is to read the specific configuration of the - database engine being used. A custom configuration can be provided on - the command line to override the default. -

7.4.2. Global properties

- Please find below a list of global properties to control various advanced - options of the DDL Generator. -

Table 7.5. Command line options

OptionDescriptionValuesDefaultSince
     
org.castor.ddlgen.GeneratorsGenerator classes of supported database engines.  1.1
org.castor.ddlgen.DefaultEngineName of default database engine. Will be overwritten by engine specified on commandline.db2, derby, hsql, mssql, mysql, oracle, pointbase, postgresql, sapdb or sybasemysql1.1
org.castor.ddlgen.SchemaNameName of the database schema. test1.1
org.castor.ddlgen.GroupStatementsHow to group generated DDL statements?TABLE or DDLTYPETABLE1.1
org.castor.ddlgen.CharFormatHow to format characters of generated DDL statements?SENSITIVE, UPPER or LOWERSENSITIVE1.1
org.castor.ddlgen.NewlineCharacter sequence to write for newline. \n1.1
org.castor.ddlgen.IndentionCharacter sequence to write for indented lines. \t1.1
org.castor.ddlgen.GenerateSchemaGenerate SCHEMA statements.true or falsetrue1.1
org.castor.ddlgen.GenerateDropGenerate DROP statements.true or falsetrue1.1
org.castor.ddlgen.GenerateCreateGenerate CREATE statements.true or falsetrue1.1
org.castor.ddlgen.GeneratePrimaryKeyGenerate PRIMARYKEY statement.true or falsetrue1.1
org.castor.ddlgen.GenerateForeignKeyGenerate FOREIGNKEY statement.true or falsetrue1.1
org.castor.ddlgen.GenerateIndexGenerate INDEX statements (Not supported yet).true or falsefalse1.1
org.castor.ddlgen.GenerateKeyGeneratorGenerate KEYGENERATOR statements.true or falsetrue1.1
default_tinyint_precisionDefault precision of tinyint values.  1.1
default_smallint_precisionDefault precision of smallint values.  1.1
default_integer_precisionDefault precision of integer values.  1.1
default_bigint_precisionDefault precision of bigint values. 191.1
default_bigint_decimalsDefault decimals of bigint values. 01.1
default_float_precisionDefault precision of float values. 381.1
 Default precision of tinyint values.  1.1
default_float_decimalsDefault decimals of float values. 71.1
default_double_precisionDefault precision of double values. 531.1
default_double_decimalsDefault decimals of double values. 151.1
default_real_precisionDefault precision of real values. 381.1
default_real_decimalsDefault decimals of real values. 71.1
default_numeric_precisionDefault precision of numeric values. 651.1
default_numeric_decimalsDefault decimals of numeric values. 301.1
default_decimal_precisionDefault precision of decimal values. 651.1
default_decimal_decimalsDefault decimals of decimal values. 301.1
default_char_lengthDefault length of char values. 2561.1
default_varchar_lengthDefault length of varchar values. 2561.1
default_longvarchar_lengthDefault length of longvarchar values. 10241.1
default_date_precisionDefault precision of date values.  1.1
default_time_precisionDefault precision of time values.  1.1
default_timestamp_precisionDefault precision of timestamp values. 191.1
default_binary_lengthDefault length of binary values. 2561.1
default_varbinary_lengthDefault length of varbinary values. 2561.1
default_longvarbinary_lengthDefault length of longvarbinary values. 10241.1
default_other_lengthDefault length of other values. 10241.1
default_javaobject_lengthDefault length of javaobject values. 10241.1
default_blob_lengthDefault length of blob values. 10241.1
default_clob_lengthDefault length of clob values. 10241.1

7.4.2.1. Supported database engines

- The supported database engines are defined as follows: -

-#
-# generator classes of supported database engines
-#
-org.castor.ddlgen.Generators=\
-  org.castor.ddlgen.engine.db2.Db2Generator,\
-  org.castor.ddlgen.engine.derby.DerbyGenerator,\
-  org.castor.ddlgen.engine.hsql.HsqlGenerator,\
-  org.castor.ddlgen.engine.mssql.MssqlGenerator,\
-  org.castor.ddlgen.engine.mysql.MysqlGenerator,\
-  org.castor.ddlgen.engine.oracle.OracleGenerator,\
-  org.castor.ddlgen.engine.pointbase.PointBaseGenerator,\
-  org.castor.ddlgen.engine.postgresql.PostgresqlGenerator,\
-  org.castor.ddlgen.engine.sapdb.SapdbGenerator,\
-  org.castor.ddlgen.engine.sybase.SybaseGenerator
-			

7.4.2.2. Grouping of DDL statements

- There are 2 supported modes to group DDL statements. For a simple example, the - output of both modes is: -

-drop A if exist
-create A(IDA int);
-alter table A add primary key (IDA)
-
-drop B if exist
-create B(IDB int);
-alter table B add primary key (IDB)
-			

Figure 7.1. org.castor.ddlgen.GroupStatements=TABLE


-drop A if exist
-drop B if exist
-
-create A(IDA int);
-create B(IDB int);
-
-alter table A add primary key (IDA)
-alter table B add primary key (IDB)
-			

Figure 7.2. org.castor.ddlgen.GroupStatements=DDLTYPE


7.4.3. Specific properties

- Below you can find a list of specific properties to control various advanced - options of the DDL Generator. -

7.4.3.1. Properties common for all database engines

Table 7.6. Common properties for all databases

OptionDescriptionValuesDefaultSince
org.castor.ddlgen.KeyGeneratorFactoriesKey generator factory classes supported by DB/2.  1.1
org.castor.ddlgen.HeaderCommentComment to add to head of generated script.  1.1

7.4.3.1.1. Key generators

- The key generators supported by a database engine are defined as follows - (example taken from Oracle): -

-#
-# key generator factory classes of supported database engines
-#
-org.castor.ddlgen.KeyGeneratorFactories=\
-  org.castor.ddlgen.keygenerator.HighLowKeyGeneratorFactory,\
-  org.castor.ddlgen.keygenerator.MaxKeyGeneratorFactory,\
-  org.castor.ddlgen.keygenerator.UUIDKeyGeneratorFactory,\
-  org.castor.ddlgen.engine.oracle.OracleSequenceKeyGeneratorFactory
-				

7.4.3.2. Properties for db2, hsql, Oracle, Postgresql and sapdb

Table 7.7. Common properties for all databases

OptionDescriptionValuesDefaultSince
org.castor.ddlgen.TriggerTemplateTemplate to create TRIGGER statements.  1.1

7.4.3.2.1. Trigger template

- Below you can take a look at the default trigger template defined for Oracle. - The DDL Generator will replace the parameters in brackets with appropriate - values (e.g. <table_name>). -

-#
-# trigger template
-#
-org.castor.ddlgen.TriggerTemplate=\
-CREATE TRIGGER <trigger_name>
-  BEFORE INSERT OR UPDATE ON <table_name>
-  FOR EACH ROW
-  DECLARE
-    iCounter <table_name>.<pk_name>%TYPE;
-    cannot_change_counter EXCEPTION;
-  BEGIN
-    IF INSERTING THEN
-      Select <sequence_name>.NEXTVAL INTO iCounter FROM Dual;
-      :new.<pk_name> := iCounter;
-    END IF;
-
-    IF UPDATING THEN
-      IF NOT (:new.<pk_name> = :old.<pk_name>) THEN
-        RAISE cannot_change_counter;
-      END IF;
-    END IF;
-
-EXCEPTION
-  WHEN cannot_change_counter THEN
-    raise_application_error(-20000, 'Cannot Change Counter Value');
-END;
-					

Figure 7.3. Default trigegr template for Oracle


7.4.3.3. Properties for MySQL only

Table 7.8. Common properties for all databases

OptionDescriptionValuesDefaultSince
org.castor.ddlgen.engine.mysql.StorageEngineStorage engine to be used. If left empty the default configured at the database server will be used.MYISAM, InnoDB, MERGE, MEMORY, BDB or ISAM 1.1
org.castor.ddlgen.engine.mysql.ForeignKeyOnDeleteStrategyDelete strategy for foreign keys. If not specified NO ACTION will be used by default.CASCADE, RESTRICT, SET NULL, NO ACTION 1.1
org.castor.ddlgen.engine.mysql.ForeignKeyOnUpdateStrategyUpdate strategy for foreign keys. If not specified NO ACTION will be used by default.CASCADE, RESTRICT, SET NULL, NO ACTION 1.1

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b/src/site/resources/reference-guides/1.4.0/html-single/images/castor.gif old mode 100755 new mode 100644 diff --git a/src/site/resources/reference-guides/1.4.0/html-single/images/persistence-layered-architecture.png b/src/site/resources/reference-guides/1.4.0/html-single/images/persistence-layered-architecture.png old mode 100755 new mode 100644 diff --git a/src/site/resources/reference-guides/1.4.0/html-single/index.html b/src/site/resources/reference-guides/1.4.0/html-single/index.html old mode 100755 new mode 100644 index 69bf944ad..1e99cc09b --- a/src/site/resources/reference-guides/1.4.0/html-single/index.html +++ b/src/site/resources/reference-guides/1.4.0/html-single/index.html @@ -1,6 +1,6 @@ - Castor 1.3.3 - Reference documentation

Castor 1.3.3 - Reference documentation

1.3.3

-

Copies of this document may be made for your own use and for - distribution to others, provided that you do not charge any fee for such - copies and further provided that each copy contains this Copyright - Notice, whether distributed in print or electronically.

-

1. Castor XML - XML data binding
1.1. XML framework
1.1.1. Introduction
1.1.2. Castor XML - The XML data binding framework
1.1.2.1. Introspection mode
1.1.2.2. Mapping mode
1.1.2.3. Descriptor mode
1.1.3. Sources and destinations
1.1.4. - XMLContext - A consolidated way to bootstrap Castor -
1.1.5. Using existing Classes/Objects
1.1.6. Class Descriptors
1.2. XML Mapping
1.2.1. Introduction
1.2.2. Overview
1.2.2.1. Marshalling Behavior
1.2.2.2. Unmarshalling Behavior
1.2.3. The Mapping File
1.2.3.1. Sample domain objects
1.2.3.2. The <mapping> element
1.2.3.3. The <class> element
1.2.3.4. The <map-to> element
1.2.3.5. The <field> element
1.2.3.6. Description of the content
1.2.3.7. The <bind-xml> element
1.2.4. Usage Pattern
1.2.5. xsi:type
1.2.6. Location attribute
1.2.7. Tips
1.2.7.1. Automatically create a mapping file
1.2.7.2. Create your own FieldHandler
1.2.7.3. Mapping constructor arguments (since 0.9.5)
1.2.7.4. Preventing Castor from checking for a default constructor (since 0.9.5)
1.2.7.5. Type safe enumeration mapping (since 0.9.5)
1.3. Configuring Castor XML (Un)Marshaller
1.3.1. Introduction
1.3.2. Configuring the Marshaller
1.3.3. Configuring the Unmarshaller
1.4. Usage of Castor and XML parsers
1.4.1. SAX/DOM
1.4.2. StAX
1.5. XML configuration file
1.5.1. News
1.5.2. Introduction
1.5.3. Accessing the properties from within code
1.6. Castor XML - Tips & Tricks
1.6.1. Logging and Tracing
1.6.2. Indentation
1.6.3. XML:Marshal validation
1.6.4. NoClassDefFoundError
1.6.5. Mapping: auto-complete
1.6.6. Create method
1.6.7. MarshalListener and UnmarshalListener
1.7. Castor XML: Writing Custom FieldHandlers
1.7.1. Introduction
1.7.2. Writing a simple FieldHandler
1.7.3. Writing a GeneralizedFieldHandler
1.7.4. Use ConfigurableFieldHandler for more flexibility
1.7.5. Reuse a ConfigurableFieldHandler for more than one field definition
1.7.6. No Constructor, No Problem!
1.7.7. Collections and FieldHandlers
1.8. Best practice
1.8.1. General
1.8.1.1. Source Generator
1.8.2. Performance Considerations
1.8.2.1. General
1.8.2.2. Use of XMLContext - With and without a mapping file
1.8.2.3. Use of Marshaller/Unmarshaller
1.9. Castor XML - HOW-TO's
1.9.1. Introduction
1.9.2. Documentation
1.9.3. Contribution
1.9.4. Mapping
1.9.5. Validation
1.9.6. Source generation
1.9.7. Others
1.10. XML FAQ
1.10.1. General
1.10.1.1. How do I set the encoding?
1.10.1.2. +

Castor 1.4.0 - Reference documentation

+

Copies of this document may be made for your own use and + for + distribution to others, provided that you do not charge any fee for such + copies and further provided that each copy contains this Copyright + Notice, whether distributed in print or electronically. +

+

1. Castor XML - XML data binding
1.1. XML framework
1.1.1. Introduction
1.1.2. Castor XML - The XML data binding framework
1.1.2.1. Introspection mode
1.1.2.2. Mapping mode
1.1.2.3. Descriptor mode
1.1.3. Sources and destinations
1.1.4. + XMLContext - A consolidated way to bootstrap Castor +
1.1.5. Using existing Classes/Objects
1.1.6. Class Descriptors
1.2. XML Mapping
1.2.1. Introduction
1.2.2. Overview
1.2.2.1. Marshalling Behavior
1.2.2.2. Unmarshalling Behavior
1.2.3. The Mapping File
1.2.3.1. Sample domain objects
1.2.3.2. The <mapping> element
1.2.3.3. The <class> element
1.2.3.4. The <map-to> element
1.2.3.5. The <field> element
1.2.3.6. Description of the content
1.2.3.7. The <bind-xml> element
1.2.4. Usage Pattern
1.2.5. xsi:type
1.2.6. Location attribute
1.2.7. Tips
1.2.7.1. Automatically create a mapping file
1.2.7.2. Create your own FieldHandler
1.2.7.3. Mapping constructor arguments (since 0.9.5)
1.2.7.4. Preventing Castor from checking for a default constructor (since 0.9.5)
1.2.7.5. Type safe enumeration mapping (since 0.9.5)
1.3. Configuring Castor XML (Un)Marshaller
1.3.1. Introduction
1.3.2. Configuring the Marshaller
1.3.3. Configuring the Unmarshaller
1.4. Usage of Castor and XML parsers
1.4.1. SAX/DOM
1.4.2. StAX
1.5. XML configuration file
1.5.1. News
1.5.2. Introduction
1.5.3. Accessing the properties from within code
1.6. Castor XML - Tips & Tricks
1.6.1. Logging and Tracing
1.6.2. Indentation
1.6.3. XML:Marshal validation
1.6.4. NoClassDefFoundError
1.6.5. Mapping: auto-complete
1.6.6. Create method
1.6.7. MarshalListener and UnmarshalListener
1.7. Castor XML: Writing Custom FieldHandlers
1.7.1. Introduction
1.7.2. Writing a simple FieldHandler
1.7.3. Writing a GeneralizedFieldHandler
1.7.4. Use ConfigurableFieldHandler for more flexibility
1.7.5. Reuse a ConfigurableFieldHandler for more than one field definition
1.7.6. No Constructor, No Problem!
1.7.7. Collections and FieldHandlers
1.8. Best practice
1.8.1. General
1.8.1.1. Source Generator
1.8.2. Performance Considerations
1.8.2.1. General
1.8.2.2. Use of XMLContext - With and without a mapping file
1.8.2.3. Use of Marshaller/Unmarshaller
1.9. Castor XML - HOW-TO's
1.9.1. Introduction
1.9.2. Documentation
1.9.3. Contribution
1.9.4. Mapping
1.9.5. Validation
1.9.6. Source generation
1.9.7. Others
1.10. XML FAQ
1.10.1. General
1.10.1.1. How do I set the encoding?
1.10.1.2. I'm getting an error about 'xml' prefix already declared? -
1.10.1.3. Why is my 'get' method called twice?
1.10.1.4. +
1.10.1.3. Why is my 'get' method called twice?
1.10.1.4. How can I speed up marshalling/unmarshalling performance? -
1.10.1.5. +
1.10.1.5. How do I ignore elements during unmarshalling? -
1.10.1.6. +
1.10.1.6. Where does Castor search for the castor.properties file? -
1.10.1.7. +
1.10.1.7. Can I programmatically change the properties found in the castor.properties file? -
1.10.2. Introspection
1.10.2.1. Can private methods be introspected?
1.10.3. Mapping
1.10.3.1. My mapping file seems to have no effect!
1.10.3.2. +
1.10.2. Introspection
1.10.2.1. Can private methods be introspected?
1.10.3. Mapping
1.10.3.1. My mapping file seems to have no effect!
1.10.3.2. Are there any tools to automatically create a mapping file? -
1.10.3.3. +
1.10.3.3. How do I specify a namespace in the mapping file? -
1.10.3.4. +
1.10.3.4. How do I prevent a field from being marshaled? -
1.10.4. Marshalling
1.10.4.1. +
1.10.4. Marshalling
1.10.4.1. The XML is marshalled on one line, how do I force line-breaks? -
1.10.4.2. What is the order of the marshalled XML elements?
1.10.5. Source code generation
1.10.5.1. Can I use a DTD with the source generator?
1.10.5.2. +
1.10.4.2. What is the order of the marshalled XML elements?
1.10.5. Source code generation
1.10.5.1. Can I use a DTD with the source generator?
1.10.5.2. My XML output looks incorrect, what could be wrong? -
1.10.5.3. +
1.10.5.3. The generated source code has incorrect or missing imports for imported schema types -
1.10.5.4. +
1.10.5.4. How can I make the generated source code more JDO friendly? -
1.10.6. Miscellaneous
1.10.6.1. +
1.10.6. Miscellaneous
1.10.6.1. Is there a way to automatically create an XML Schema from an XML instance? -
1.10.6.2. How to enable XML validation with Castor XML
1.10.6.3. +
1.10.6.2. How to enable XML validation with Castor XML
1.10.6.3. Why is mapping ignored when using a FieldHandlerFactory -
1.10.7. Serialization
1.10.7.1. +
1.10.7. Serialization
1.10.7.1. Is it true that the use of Castor XML mandates Apache Xerces as XML parser? -
1.10.7.2. +
1.10.7.2. Do I still have to download Xerces when using Castor XML with Java 5.0? -
2. XML code generation
2.1. Why Castor XML code generator - Motivation
2.2. Introduction
2.2.1. News
2.2.1.1. Source generation & Java field naming conventions
2.2.1.2. Source generation & Java 5.0
2.2.2. Introduction
2.2.3. Invoking the XML code generator
2.2.4. XML Schema
2.3. Properties
2.3.1. Overview
2.3.2. Customization - Lookup mechanism
2.3.3. Detailed descriptions
2.3.3.1. org.exolab.castor.builder.javaVersion
2.3.3.2. org.exolab.castor.builder.javaVersion
2.3.3.3. org.exolab.castor.builder.boundproperties
2.3.3.4. org.exolab.castor.builder.javaclassmapping
2.3.3.5. org.exolab.castor.builder.superclass
2.3.3.6. org.exolab.castor.builder.nspackages
2.3.3.7. org.exolab.castor.builder.equalsmethod
2.3.3.8. org.exolab.castor.builder.useCycleBreaker
2.3.3.9. org.exolab.castor.builder.primitivetowrapper
2.3.3.10. org.exolab.castor.builder.automaticConflictResolution
2.3.3.11. org.exolab.castor.builder.extraCollectionMethods
2.3.3.12. org.exolab.castor.builder.jclassPrinterFactories
2.3.3.13. org.exolab.castor.builder.extraDocumentationMethods
2.4. Custom bindings
2.4.1. Binding File
2.4.1.1. <binding> element
2.4.1.2. <include> element
2.4.1.3. <package> element
2.4.1.4. <namingXML> element
2.4.1.5. <componentBinding> element
2.4.1.6. <java-class>
2.4.1.7. <member> element
2.4.1.8. <contentMember> element
2.4.1.9. <enumBinding> element
2.4.1.10. Not implemented yet
2.4.2. Class generation conflicts
2.4.2.1. Collision reporting
2.4.2.2. Automatic collision resolution
2.5. Invoking the XML code generator
2.5.1. Ant task definition
2.5.1.1. Specifying the source for generation
2.5.1.2. Parameters
2.5.1.3. Examples
2.5.2. Maven 2 plugin
2.5.2.1. Configuration
2.5.2.2. Integration into build life-cycle
2.5.2.3. Example
2.5.3. Command line
2.5.3.1. First steps
2.5.3.2. Source Generator - command line options
2.6. XML schema support
2.6.1. Supported XML Schema Built-in Datatypes
2.6.1.1. Primitive Datatypes
2.6.1.2. Derived Datatypes
2.6.2. Supported XML Schema Structures
2.6.2.1. Groups
2.6.2.2. Wildcard
2.7. Examples
2.7.1. The invoice XML schema
2.7.1.1. The schema file
2.7.1.2. Running the XML code generator
2.7.1.3. The generated code
2.7.2. Non-trivial real world example
2.7.2.1. The Supply Chain XSD
2.7.2.2. Binding file? -- IT IS REQUIRED!
3. Castor JDO
3.1. Castor JDO - An introduction
3.1.1. What is Castor JDO
3.1.2. Features
3.2. Castor JDO - First steps
3.2.1. Introduction
3.2.2. Sample domain objects
3.2.3. Using Castor JDO for the first time
3.2.4. JDO configuration
3.3. Using Castor JDO
3.3.1. Opening A JDO Database
3.3.1.1. Stand-alone application
3.3.1.2. J2EE Application
3.3.2. Using A JDO Database to perform persistence operations
3.3.2.1. Transient And Persistent Objects
3.3.2.2. Running an OQL Query
3.3.2.3. Creating a persistent object
3.3.2.4. Removing a persistent object
3.3.2.5. Updating a persistent object
3.3.3. Using JDO And XML
3.4. Castor JDO - Configuration
3.4.1. The Castor configuration file
3.4.1.1. Transaction demarcation
3.4.1.2. Sample Configuration File
3.4.1.3. Prepared statement pooling
3.4.1.4. Sample configurations for various databases
3.4.2. JDOConfFactory - A programmatic way of configuring Castor JDO
3.4.3. References
3.4.3.1. The JDO Configuration DTD
3.5. Type Support
3.5.1. Types
3.5.1.1. Castor XML
3.5.1.2. Castor JDO
3.5.1.3. Castor DAX
3.5.2. The Field Mapping
3.5.3. SQL Dates and Default Timezones
3.5.4. SQL Type Conversion
3.5.5. Parameterized Type Convertors
3.5.6. BLOB and CLOB Types
3.6. Castor JDO Mapping
3.6.1. News
3.6.2. Introduction
3.6.3. The Mapping File
3.6.3.1. The <mapping> element
3.6.3.2. The <class> element
3.6.3.3. The <map-to> element
3.6.3.4. The <field> element
3.6.3.5. The <sql> element
3.7. Castor JDO FAQ
3.7.1. Castor's relation to other specifications
3.7.1.1. Does Castor JDO comply with the SUN JSR-000012 specification?
3.7.1.2. Is Castor JDO better than EJB CMP?
3.7.2. XML related questions
3.7.2.1. Is it possible to make XML marshalling transactionally using Castor?
3.7.2.2. Is it possible to do queries on a XML file using Castor?
3.7.3. Technical questions
3.7.3.1. Where can I find some examples to start with?
3.7.3.2. I have encountered problems using Sun JDBC-ODBC bridge with Castor...
3.7.3.3. - My get-method for the Collection of dependent objects returns null. - Why? -
3.7.3.4. Should my JDO classes implement some special interface?
3.7.3.5. Can Castor automatically create/remove related objects?
3.7.3.6. - Is Castor JDO using any connection pooling mechanism to improve - the overall performance? -
3.7.3.7. - I am getting ClassNotFoundException for my JDO class, - but it is in the class path. Why? -
3.7.3.8. - I am getting exception - 'the class ... is not persistence capable...'. Why? -
3.7.3.9. - I call db.remove() on the dependent object and commit, - but this doesn't work... -
3.7.3.10. - How should I represent string/date/boolean literals in OQL query? -
3.7.3.11. - I get 'java.lang.AbstractMethodError: getBigDecimal' - for numeric fields. Why? -
3.7.3.12. Does Castor support both one-way and two-way relationships?
3.7.3.13. - I have an object that holds a relation to itself. - Does Castor support this? -
3.7.3.14. - Why do I get an ObjectModifiedException when trying to commit - a transaction? -
3.7.3.15. I'm receiving a java.sql.SQLException: ORA-01461
3.7.4. Castor and performance caches
3.7.4.1. - Sometimes long transaction fails: on update() it is thrown - ObjectModifiedException. Why? -
3.7.4.2. Can I use the cache-type='none' with long transactions?
3.7.4.3. - What is causing a PersistenceException with long transactions and - how do I fix it? -
3.7.5. OQL
3.7.5.1. Is there any document available for Castor OQL?
3.7.5.2. - The OQL document describes several phases of development. - Which is the current phase? -
3.7.5.3. Does Castor OQL support sub-queries?
3.7.5.4. - I cannot get Castor OQL to join two objects for me. Is it supported? -
3.7.5.5. Can I write a pass-thru OQL?
3.7.5.6. Does Castor OQL support struct?
3.7.5.7. How do I structure a query using the 'LIKE' expression?
3.7.5.8. Does Castor support the SQL 'IN' expression?
3.7.6. Features requests
3.7.6.1. Can a foreign key be part of multiple primary keys?
3.7.6.2. Is polymorphic collection supported?
3.7.7. Data model issues
3.7.7.1. Is it possible to map an object to more than one tables?
3.7.7.2. - Can an object with the same identity be re-created after being removed - in the same transaction? -
3.7.7.3. What is a dependent object?
3.7.7.4. - Can a data object involved in many-to-many relationship be dependent? -
3.7.8. Castor JDO design
3.7.8.1. How does Castor JDO work anyway?
3.7.8.2. - Does Castor support two-phase commits? How is this implemented? -
3.7.8.3. Does Castor support nested transaction?
3.7.9. Working with open source databases
3.7.9.1. Does Castor support PosgreSQL?
3.7.9.2. Does Castor support MySQL?
3.7.9.3. Which Open Source database is supported better?
3.7.10. RDBMS-specific issues
3.7.10.1. MySQL
3.7.10.2. Oracle
3.7.11. Castor & Logging
3.7.11.1. - How can I integrate Castor's logging with a logging infrastructure - using Log4J? -
3.7.11.2. - Can I see what SQL statement Castor issues to the database as a result - of an operation? -
3.7.11.3. How can I disable the use of JDBC proxy classes?
3.7.12. Lazy Loading related questions
3.7.12.1. - How do I configure the JDO mapping to use the lazy loading feature - for 1:1 relations? -
3.7.12.2. Lazy loading for 1:1 relations and serialization
3.7.12.3. - How do I configure the JDO mapping to use the lazy loading feature for - 1:m and M:N relations? -
3.7.12.4. - I have modified my mapping to use lazy loading. Now I get the error - 'no method to set value for field: com.xyz.ClassB in class: - ClassMolder com.xyz.ClassA' or - 'org.exolab.castor.jdo.DataObjectAccessException: no method to set - value for field: com.xyz.ClassB in class: ClassMolder com.xyz.ClassA'. - What am I doing wrong? -
3.7.13. Tuning for LOBs
3.7.14. Database-specific issues
3.7.14.1. HSQL and identity key generators
3.7.15. Changing database configurations
3.8. Castor JDO code samples
3.8.1. Introduction
3.8.1.1. Java class files
3.8.1.2. DDL
3.8.1.3. Object Mappings
3.8.1.4. Relations
3.8.1.5. Extend relation & polymorphism
3.8.1.6. OQL samples
3.9. Castor JDO - How To's
3.9.1. Introduction
3.9.2. Documentation
3.9.2.1. How to author a HOW-TO document
3.9.2.2. How to author an FAQ entry
3.9.2.3. How to author a code snippet
3.9.2.4. How to author core documentation
3.9.3. Contribution
3.9.3.1. How to setup Castor project in eclipse
3.9.3.2. How to run Castor JDO's database independend unit tests
3.9.3.3. How to run Castor JDO's test suite
3.9.3.4. How to run Castor JDO's performance tests
3.9.3.5. Submitting a bug report
3.9.3.6. How to prepare a patch
3.9.3.7. How to Contribute a Patch via Jira
3.9.4. OQL
3.9.4.1. How to use a LIMIT clause with OQL
3.9.5. Core features
3.9.5.1. How to use a (performance) cache with Castor
3.9.5.2. How to map typesafe enumerations with Castor
3.9.5.3. How to use Castor JDO's connection proxies
3.9.6. Cascading
3.9.6.1. How to use cascading operations
3.9.6.2. How to cascade creation
3.9.6.3. How to cascade deletion
3.9.6.4. How to cascade update
3.9.7. Caches
3.9.7.1. How to use Castor in a J2EE cluster
3.9.8. Connection pooling
3.9.8.1. How to use Jakarta's DBCP for connection pooling
3.9.9. Use of Castor in J2EE applications
3.9.9.1. How to use Castor with(in) distributed J2EE transactions
3.9.10. Database specifica
3.9.10.1. - How to connect to a Apache Derby instance in network server mode -
3.10. Castor JDO - Tips & Tricks
3.10.1. Logging and Tracing
3.10.2. Access Mode
3.10.3. Inheritence
3.10.4. Views of Same Object
3.10.5. Upgrading Locks
3.10.6. NoClassDefFoundError
3.10.7. Create method
3.11. Castor JDO - Advanced features
3.11.1. Introduction
3.11.2. Caching
3.11.3. Dependent and related relationships
3.11.4. Different cardinalities of relationship
3.11.5. Lazy Loading
3.11.5.1. 1:1 relations
3.11.5.2. 1:M and M:N relations
3.11.6. Multiple columns primary keys
3.11.7. Callback interface for persistent operations
3.12. Running the self-executable Castor JDO examples
3.12.1. Download the castor-$RELEASE-examples.zip archive
3.12.2. Unpack the ZIP file
3.12.3. Running the Castor JDO samples
3.12.4. What happens
3.12.5. Hints
4. Advanced JDO
4.1. Castor JDO - Caching
4.1.1. Introduction
4.1.2. Caching and long transactions
4.1.3. Configuration
4.1.4. fifo and lru cache providers
4.1.5. Caching and clustered environments
4.1.6. Custom cache provider
4.1.6.1. Cache implementation
4.1.6.2. CacheFactory implementation
4.1.6.3. Configuration
4.1.7. CacheManager - monitoring and clearing caches
4.2. OQL to SQL translator
4.2.1. News
4.2.2. Status
4.2.3. Introduction
4.2.4. Overview
4.2.5. Syntax
4.2.6. Type and validity checking
4.2.7. SQL Generation
4.2.8. OQL FAQ
4.2.9. Summary
4.2.10. Examples
4.2.10.1. Java class files
4.2.10.2. Limit Clause
4.3. Transaction And Locking Modes
4.3.1. The JDO Model
4.3.2. Locking Modes
4.3.2.1. Access mode: Shared
4.3.2.2. Access mode: Exclusive
4.3.2.3. Access mode: Database Locked
4.3.2.4. Read-only Queries
4.3.3. Visibility of Changes
4.4. Castor Persistence Architecture
4.4.1. Layered Achitecture
4.4.2. Persistence API
4.4.2.1. Transactions
4.4.2.2. OIDs and Locks
4.4.2.3. Cache Engine
4.4.2.4. Pessimistic/Optimistic Locking
4.4.2.5. Relations
4.4.2.6. QueryResults
4.4.3. Service Providers (SPI)
4.4.3.1. Persistence
4.4.3.2. PersistenceQuery
4.4.4. Enterprise JavaBeans CMP
4.5. Castor JDO Key Generator Support
4.5.1. Introduction
4.5.2. MAX key generator
4.5.3. HIGH-LOW key generator
4.5.4. UUID key generator
4.5.5. IDENTITY key generator
4.5.6. SEQUENCE key generator
4.6. Castor JDO Long Transactions Support
4.6.1. Introduction
4.6.2. Bounded dirty checking
4.6.3. Long transactions that do not depend on cache
4.7. Nested Attributes
4.7.1. Introduction
4.7.2. Application types
4.7.3. Compound types
4.8. Using Pooled Database Connections
4.8.1. News
4.8.2. Pooling Agents
4.8.3. Standard Database Connections
4.8.4. Pooling and JDBC DataSources
4.8.4.1. PostgreSQL 7.3 and later
4.8.4.2. Oracle
4.8.4.3. mySQL
4.8.5. Configuring JDBC DataSources in Tomcat to be used with Castor
4.8.6. Jakarta Commons DBCP - BasicDataSource
4.8.6.1. Prepared statement pooling
4.9. Blobs in PostgreSQL
4.9.1. OID Support
4.9.2. OID Example
4.10. Castor JDO - Best practice
4.10.1. Introduction
4.10.2. General suggestions
4.10.3. Further optimization
5. Castor JDO - Integration with Spring ORM
5.1. Usage
5.1.1. Getting started using Maven 2
5.1.2. Project dependencies
5.2. A high-level overview
5.2.1. Sample domain objects
5.2.2. Using Castor JDO manually
5.2.3. Using Castor JDO with Spring ORM - Without CastorTemplate
5.2.4. Using Castor JDO with Spring ORM - With CastorTemplate
5.2.5. Using Castor JDO with Spring ORM - With CastorDaoSupport
5.3. Data access through Castor JDO with the Spring framework
5.3.1. Resource management
5.3.2. JDOManager setup in a Spring container
5.3.3. The CastorTemplate
5.3.4. Implementing Spring-based DAOs without callbacks
5.3.5. Programmatic transaction demarcation
5.3.6. Declarative transaction demarcation
5.3.7. Transaction management strategies
5.4. Build instructions
5.4.1. Prerequisites
5.4.2. Building the Spring ORM module
6. Castor JDO - Support for the JPA specification
6.1. JPA annotations - Motivation
6.2. Prerequisites and outline
6.3. Limitations and Basic Information
6.3.1. persistence.xml
6.3.2. JPA access type and the placing of JPA annotations
6.3.3. Primary Keys
6.3.4. Inheritance, mapped superclasses, etc.
6.3.5. Relations
6.4. An outline of JPA-Annotations
6.5. Usage of JPA annotations - Configuration
6.5.1. HOW-TO persist a single class (@Entity, @Table, @Id)
6.5.2. HOW-TO persist a 1:1 relation (@OneToOne)
6.5.3. Persist one to many relation (@OnetoMany)
6.5.4. HOW-TO create and use a named query (@NamedQuery)
6.5.5. HOW-TO create and use multiple named queries (@NamedQueries)
6.5.6. HOW-TO create and use a named native query (@NamedNativeQuery)
6.5.7. HOW-TO create and use multiple named native queries (@NamedNativeQueries)
6.5.8. HOW-TO use persistence callbacks
6.5.9. HOW-TO use @Enumerated
6.5.10. HOW-TO use @Temporal
6.5.11. HOW-TO use @Lob
6.6. Integration with Spring ORM for Castor JDO
6.6.1. A typical sample
6.6.2. Adding a JDOClassDescriptorResolver configuration
6.6.3. JPA Callbacks
6.7. Castor JPA Extensions
6.7.1. @Cache and @CacheProperty
7. DDL generator for Castor JDO
7.1. Castor DDL Generator - An Introduction
7.1.1. DDL Generator Options
7.1.1.1. Command Line Options
7.1.2. Database Engines
7.2. Using the Ant task for the Castor DDL Generator
7.2.1. Configuration
7.2.2. Example
7.3. Castor DDL Generator - Type Mapping
7.3.1. JDBC Types not supported by Castor
7.4. Castor DDL Generator - Properties
7.4.1. Overview
7.4.2. Global properties
7.4.2.1. Supported database engines
7.4.2.2. Grouping of DDL statements
7.4.3. Specific properties
7.4.3.1. Properties common for all database engines
7.4.3.2. Properties for db2, hsql, Oracle, Postgresql and sapdb
7.4.3.3. Properties for MySQL only
8. XML code generation - Extensions
8.1. XML code generation extensions - Motivation
8.1.1. JDO extensions for the Castor XML code generator
8.1.1.1. JDO extensions - Motivation
8.1.1.2. Limitations
8.1.1.3. Prerequisites
8.1.1.4. Configuring the XML code generator
8.1.1.5. The JDO annotations for XML schemas
8.1.1.6. Using the generated (domain) classes with Castor JDO
8.1.2. SOLRJ extensions for the Castor XML code generator
8.1.2.1. SOLRJ extensions - Motivation
8.1.2.2. Prerequisites
8.1.2.3. The SOLRJ annotations for XML schemas
8.1.2.4. Using the generated domain classes with SOLR
- - - - -

Chapter 1. Castor XML - XML data binding

1.1. XML framework

1.1.1. Introduction

- Castor XML is an XML data binding framework. Unlike the two - main XML APIs, DOM (Document Object Model) and SAX (Simple - API for XML) which deal with the structure of an XML - document, Castor enables you to deal with the data defined - in an XML document through an object model which represents - that data. -

- Castor XML can marshal almost any "bean-like" Java Object to - and from XML. In most cases the marshalling framework uses a - set of ClassDescriptors and FieldDescriptors to describe how - an Object should be marshalled and unmarshalled from XML. -

- For those not familiar with the terms "marshal" and - "unmarshal", it's simply the act of converting a stream - (sequence of bytes) of data to and from an Object. The act - of "marshalling" consists of converting an Object to a - stream, and "unmarshalling" from a stream to an Object. -

1.1.2. Castor XML - The XML data binding framework

- The XML data binding framework, as it's name implies, is - responsible for doing the conversion between Java and XML. - The framework consists of two worker classes, - org/exolab/castor/xml/Marshaller and - org.exolab.castor.xml.Unmarshaller - respectively, and a bootstrap class - org.exolab.castor.xml.XMLContext - used for configuration of the XML data binding framework and - instantiation of the two worker objects. -

- Lets walk through a very simple example. Assume we have a - simple - Person - class as follows: -

-import java.util.Date;
-
-/** An simple person class */ 
-public class Person implements java.io.Serializable {
-
-   /** The name of the person */ 
-   private String name = null;
-
-   /** The Date of birth */ 
-   private Date dob = null;
-
-   /** Creates a Person with no name */ 
-   public Person() {
-      super(); 
-   }
-
-   /** Creates a Person with the given name */ 
-   public Person(String name) { this.name = name; }
-
-   /** 
-     * @return date of birth of the person 
-     */ 
-   public Date getDateOfBirth() { return dob; }
-
-   /** 
-     * @return name of the person 
-     */ 
-   public String getName() { return name; }
-
-   /** 
-     * Sets the date of birth of the person 
-     * @param name the name of the person 
-     */ 
-   public void setDateOfBirth(Date dob) { this.dob = dob; }
-
-   /** 
-     * Sets the name of the person 
-     * @param name the name of the person 
-     */ 
-   public void setName(String name) { this.name = name; } 
-}
-		

- To (un-)marshal data to and from XML, Castor XML can be used - in one of three modes: -

  • introspection mode

  • mapping mode

  • descriptor mode (aka generation mode)

- The following sections discuss each of these modes at a high - level. -

1.1.2.1. Introspection mode

- The - introspection mode - is the simplest mode to use from a user perspective, as - it does not require any configuration from the user. As - such, the user does not have to provide any mapping - file(s), nor point Castor to any generated descriptor - classes (as discussed in the 'descriptor mode' section). -

- In this mode, the user makes use of - static - methods on the - org.exolab.castor.xml.Marshaller and - org.exolab.castor.xml.Unmarshaller - classes, providing all required data as parameters on - these method calls. -

- To marshal an instance of the person class you simply - call the - org.exolab.castor.xml.Marshaller - as follows: -

-// Create a new Person
-Person person = new Person("Ryan 'Mad Dog' Madden");
-person.setDateOfBirth(new Date(1955, 8, 15));
-
-// Create a File to marshal to
-writer = new FileWriter("test.xml");
+			
2. XML code generation
2.1. Why Castor XML code generator - Motivation
2.2. Introduction
2.2.1. News
2.2.1.1. Source generation & Java field naming conventions
2.2.1.2. Source generation & Java 5.0
2.2.2. Introduction
2.2.3. Invoking the XML code generator
2.2.4. XML Schema
2.3. Properties
2.3.1. Overview
2.3.2. Customization - Lookup mechanism
2.3.3. Detailed descriptions
2.3.3.1. org.exolab.castor.builder.javaVersion
2.3.3.2. org.exolab.castor.builder.javaVersion
2.3.3.3. org.exolab.castor.builder.boundproperties
2.3.3.4. org.exolab.castor.builder.javaclassmapping
2.3.3.5. org.exolab.castor.builder.superclass
2.3.3.6. org.exolab.castor.builder.nspackages
2.3.3.7. org.exolab.castor.builder.equalsmethod
2.3.3.8. org.exolab.castor.builder.useCycleBreaker
2.3.3.9. org.exolab.castor.builder.primitivetowrapper
2.3.3.10. org.exolab.castor.builder.automaticConflictResolution
2.3.3.11. org.exolab.castor.builder.extraCollectionMethods
2.3.3.12. org.exolab.castor.builder.jclassPrinterFactories
2.3.3.13. org.exolab.castor.builder.extraDocumentationMethods
2.4. Custom bindings
2.4.1. Binding File
2.4.1.1. <binding> element
2.4.1.2. <include> element
2.4.1.3. <package> element
2.4.1.4. <namingXML> element
2.4.1.5. <componentBinding> element
2.4.1.6. <java-class>
2.4.1.7. <member> element
2.4.1.8. <contentMember> element
2.4.1.9. <enumBinding> element
2.4.1.10. Not implemented yet
2.4.2. Class generation conflicts
2.4.2.1. Collision reporting
2.4.2.2. Automatic collision resolution
2.5. Invoking the XML code generator
2.5.1. Ant task definition
2.5.1.1. Specifying the source for generation
2.5.1.2. Parameters
2.5.1.3. Examples
2.5.2. Maven 2 plugin
2.5.2.1. Configuration
2.5.2.2. Integration into build life-cycle
2.5.2.3. Example
2.5.3. Command line
2.5.3.1. First steps
2.5.3.2. Source Generator - command line options
2.6. XML schema support
2.6.1. Supported XML Schema Built-in Datatypes
2.6.1.1. Primitive Datatypes
2.6.1.2. Derived Datatypes
2.6.2. Supported XML Schema Structures
2.6.2.1. Groups
2.6.2.2. Wildcard
2.7. Examples
2.7.1. The invoice XML schema
2.7.1.1. The schema file
2.7.1.2. Running the XML code generator
2.7.1.3. The generated code
2.7.2. Non-trivial real world example
2.7.2.1. The Supply Chain XSD
2.7.2.2. Binding file? -- IT IS REQUIRED!
3. XML code generation - Extensions
3.1. XML code generation extensions - Motivation
3.1.1. JDO extensions for the Castor XML code generator
3.1.1.1. JDO extensions - Motivation
3.1.1.2. Limitations
3.1.1.3. Prerequisites
3.1.1.4. Configuring the XML code generator
3.1.1.5. The JDO annotations for XML schemas
3.1.1.6. Using the generated (domain) classes with Castor JDO
3.1.2. SOLRJ extensions for the Castor XML code generator
3.1.2.1. SOLRJ extensions - Motivation
3.1.2.2. Prerequisites
3.1.2.3. The SOLRJ annotations for XML schemas
3.1.2.4. Using the generated domain classes with SOLR
+ -// Marshal the person object -Marshaller.marshal(person, writer); -

- This produces the XML shown in - Example 1.1, “XML produced in introspection mode” -

Example 1.1. XML produced in introspection mode

-XML to written
-				

- To unmarshal an instance of the person class from XML, - you simply call the - org.exolab.castor.xml.Unmarshaller - as follows: -

-// Create a Reader to the file to unmarshal from
-reader = new FileReader("test.xml");
+   
 
-// Marshal the person object
-Person person = (Person)
-Unmarshaller.unmarshal(Person.class, reader);
-			

- Marshalling and unmarshalling is basically that simple. -

[Note]Note
- Note: The above example uses the - - static - - methods of the marshalling framework, and as such no - Marshaller and/or Unmarshaller instances need to be - created. A common mistake in this context when using a - mapping file - is to call the - org.exolab.castor.xml.Marshaller or - org.exolab.castor.xml.Unmarshaller - as in the above example. This won't work, as the mapping - will be ignored. -

- In - introspection mode - , Castor XML uses Java reflection to establish the - binding between the Java classes (and their properties) - and the XML, following a set of (default) naming rules. - Whilst it is possible to change to a different set of - naming rules, there's no way to override this (default) - naming for individual artifacts. In such a case, a - mapping file - should be used. -

1.1.2.2. Mapping mode

- In - mapping mode - , the user provides Castor XML with a user-defined - mapping (in form of a mapping file) that allows the - (partial) definition of a customized mapping between - Java classes (and their properties) and XML. -

- When you are using a mapping file, create an instance of the - org.exolab.castor.xml.XMLContext class and use the - org.exolab.castor.xml.XMLContext.addMapping(Mapping) - method to provide Castor XML with one of more mapping files. -

- To start using Castor XML for marshalling and/or unmarshalling based upon your custom mapping, create - instances of org.exolab.castor.xml.Marshaller and - org.exolab.castor.xml.Unmarshalleras needed using one of the following methods: -

Table 1.1.  - Methods on XMLContext to create Un-/Marshaller - objects -

Method nameDescription
-

- - createMarshaller - -

-
-

- Creates a - - Marshaller - - instance. -

-
-

- - createUnmarshaller - -

-
-

- Creates a - - Unmarshaller - - instance. -

-

- and call any of the - non-static - (un)marshal methods to trigger data binding in either - way. -

- Below code shows a full example that demonstrates - unmarshalling a - Person - instance from XML using a - org.exolab.castor.xml.Unmarshaller - instance as obtained from an XMLContext previously - configured to your needs. -

Example 1.2. Unmarshalling from XML using a mapping

-import org.exolab.castor.xml.XMLContext; import
-org.exolab.castor.mapping.Mapping; import
-org.exolab.castor.xml.Unmarshaller;
-
-// Load Mapping
-Mapping mapping = new Mapping();
-mapping.loadMapping("mapping.xml");
+   

Chapter 1. Castor XML - XML data binding

1.1. XML framework

1.1.1. Introduction

+ Castor XML is an XML data binding framework. Unlike the two + main XML APIs, DOM (Document Object Model) and + SAX (Simple + API for XML) which deal with the structure of an XML + document, Castor enables you to deal with the + data defined + in an XML document through an object model which represents + that data. +

+ Castor XML can marshal almost any "bean-like" Java Object to + and from XML. In most cases the marshalling + framework uses a + set of ClassDescriptors and FieldDescriptors to describe how + an Object should be marshalled and + unmarshalled from XML. +

+ For those not familiar with the terms "marshal" and + "unmarshal", it's simply the act of converting a stream + (sequence of bytes) of data to and from an Object. The act + of "marshalling" consists of converting an Object to + a + stream, and "unmarshalling" from a stream to an Object. +

1.1.2. Castor XML - The XML data binding framework

+ The XML data binding framework, as it's name implies, is + responsible for doing the conversion between Java and + XML. + The framework consists of two worker classes, + org/exolab/castor/xml/Marshaller + and + org.exolab.castor.xml.Unmarshaller + respectively, and a bootstrap class + org.exolab.castor.xml.XMLContext + used for configuration of the XML data binding framework and + instantiation of the two worker objects. +

+ Lets walk through a very simple example. Assume we have a + simple + Person + class as follows: +

+         import java.util.Date;
 
+         /** An simple person class */
+         public class Person
+         implements java.io.Serializable {
 
-	// initialize and configure XMLContext
+         /** The name of the person */
+         private String name = null;
 
-XMLContext context = new XMLContext();
-context.addMapping(mapping);
+         /** The Date of birth
+         */
+         private Date dob = null;
 
+         /** Creates a Person with no name */
+         public Person() {
+         super();
+         }
 
-	// Create a Reader to the file to unmarshal from
-
-reader = new FileReader("test.xml");
-
-// Create a new Unmarshaller
-Unmarshaller unmarshaller =
-context.createUnmarshaller();
-unmarshaller.setClass(Person.class);
-
-// Unmarshal the person object
-Person person = (Person)
-unmarshaller.unmarshal(reader);
-				

- To marshal the very same - Person - instance to XML using a - org.exolab.castor.xml.Marshaller - obtained from the - same - org.exolab.castor.xml.XMLContext, - use code as follows: -

Example 1.3. Marshalling to XML using a mapping

-import org.exolab.castor.xml.Marshaller;
+         /** Creates a Person
+         with the given name */
+         public Person(String name) { this.name = name; }
+
+         /**
+         * @return date of birth of the person
+         */
+         public Date getDateOfBirth() { return dob; }
+
+         /**
+         * @return name of the person
+         */
+         public String getName() { return
+         name; }
+
+         /**
+         * Sets the date of birth of the person
+         * @param name the name of the person
+         */
+         public void
+         setDateOfBirth(Date dob) { this.dob = dob; }
+
+         /**
+         * Sets the name of the person
+         * @param name the name of the
+         person
+         */
+         public void setName(String name) { this.name = name; }
+         }
+      

+ To (un-)marshal data to and from XML, Castor XML can be used + in one of three modes: +

  • introspection mode

  • mapping mode

  • descriptor mode (aka generation mode)

+ The following sections discuss each of these modes at a high + level. +

1.1.2.1. Introspection mode

+ The + introspection mode + is the simplest mode to use from a user perspective, as + it does not require any configuration from the user. + As + such, the user does not have to provide any mapping + file(s), nor point Castor to any generated descriptor + classes (as discussed in the 'descriptor mode' section). +

+ In this mode, the user makes use of + static + methods on the + org.exolab.castor.xml.Marshaller + and + org.exolab.castor.xml.Unmarshaller + classes, providing all required data as parameters on + these method calls. +

+ To marshal an instance of the person class you simply + call the + org.exolab.castor.xml.Marshaller + as follows: +

+            // Create a new Person
+            Person person = new Person("Ryan 'Mad Dog'
+            Madden");
+            person.setDateOfBirth(new Date(1955, 8, 15));
 
-// create a Writer to the file to marshal to
-Writer writer = new FileWriter("out.xml");
+            // Create a File to marshal to
+            writer = new
+            FileWriter("test.xml");
 
-// create a new Marshaller
-Marshaller marshaller = context.createMarshaller();
-marshaller.setWriter(writer);
+            // Marshal the person object
+            Marshaller.marshal(person, writer);
+         

+ This produces the XML shown in + Example 1.1, “XML produced in introspection mode” +

Example 1.1. XML produced in introspection mode

+               XML to written
+            

+ To unmarshal an instance of the person class from XML, + you simply call the + org.exolab.castor.xml.Unmarshaller + as follows: +

+            // Create a Reader to the file to unmarshal from
+            reader = new
+            FileReader("test.xml");
 
-// marshal the person object
-marshaller.marshal(person);
-				

- Please have a look at - XML Mapping - for a detailed discussion of the mapping file and its - structure. -

- For more information on how to effectively deal with - loading mapping file(s) especially in multi-threaded - environments, please check the - best practice - section. -

1.1.2.3. Descriptor mode

TBD

1.1.3. Sources and destinations

- Castor supports multiple sources and destinations from which - objects can be marshalled and unmarshalled. -

Table 1.2.  - Marshalling destinations. -

DestinationDescription
-

- marshal(java.io.Writer) -

-
-

- The character stream. -

-
-

- marshal(org.xml.sax.DocumentHandler) -

-
-

- The SAX document handler. -

-
-

- marshal(org.xml.sax.ContentHandler) -

-
-

- The SAX content handler. -

-
-

- marshal(org.w3c.dom.Node) -

-
-

- The DOM node to marshall object into. -

-
-

- marshal(javax.xml.stream.XMLStreamWriter) -

-
-

- The STaX cursor API. -

-
-

- marshal(javax.xml.stream.XMLEventWriter) -

-
-

- The STaX iterator API. -

-
-

- marshal(javax.xml.transform.Result) -

-
-

- javax.xml.transform.dom.DOMResult, - javax.xml.transform.sax.SAXResult and - javax.xml.transform.stream.StreamResult are supported. -

-

Table 1.3.  - Unmarshalling sources. -

SourceDescription
-

- unmarshal(java.io.Reader) -

-
-

- A character stream. -

-
-

- unmarshal(org.xml.sax.InputSource) -

-
-

- A SAX input source. -

-
-

- unmarshal(org.w3c.dom.Node) -

-
-

- A W3C DOM node which will be used for unmarshalling. -

-
-

- unmarshal(javax.xml.stream.XMLStreamReader) -

-
-

- A StAX cursor. -

-
-

- unmarshal(javax.xml.stream.XMLEventReader) -

-
-

- A StAX iterator. -

-
-

- unmarshal(javax.xml.transform.Source) -

-
-

- Supports javax.xml.transform.dom.DOMSource, - javax.xml.transform.sax.SAXSource - and javax.xml.transform.stream.StreamSource. -

-

- Castor 1.3.2 and 1.3.3 introduced support for the STaX API for - both for marshalling and unmarshalling. The framework fully - supports the STaX cursor and iterator API. -

- An example of marshalling using STaX: -

Example 1.4. Marshalling to a StAX java.xml.stream.XMLStreamWriter

-// marshalling using STaX
-StringWriter writer = new StringWriter();
-XMLOutputFactory outputFactory = XMLOutputFactory.newInstance();
-XMLStreamWriter xmlStreamWriter = outputFactory.createXMLStreamWriter(writer);
-
-marshaller.setXmlStreamWriter(xmlStreamWriter);
-marshaller.marshal(object);
-    		

- Also beginning from version 1.3.3, the framework has been - modified to support Source and Result interfaces. Now it - is possible to use SAXSource, DOMSource and StreamSource - for unmarshalling and corresponding classes for marshalling. -

- Below an example of marshalling into Result: -

Example 1.5. Marshalling to a javax.xml.transform.dom.DOMResult

-// instance of object to be marshalled
-Object obj = ...
-
-// marshalling into DOM node
-XMLContext xmlContext = ... // creates the xml context
-
-// creates marshaller
-Marshaller marshaller = xmlContext.createMarshaller();
-
-// creates DOM factory
-DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
-DocumentBuilder builder = factory.newDocumentBuilder();
-
-// creates document
-Document document = builder.newDocument();
-
-// sets the DOM result for the marshaller
-marshaller.setResult(new DOMResult(document));
-
-// marshalls object
-marshaller.marshall(obj);
-		  

- Another example of unmarshalling from Source: -

Example 1.6. Unmarshalling from a javax.xml.transform.sax.SAXSource

-// unmarshalling from SAX InputSource
-XMLContext xmlContext = ... // creates the xml context
-
-// creates unmarshaller
-Unmarshaller unmarshaller = xmlContext.createUnmarshaller();
-
-// creates SAX input source
-InputSource inputSource = new InputSource(new StringReader(xml));
-
-// creates instance of SAXSource
-SAXSource saxSource = new SAXSource(inputSource);
-
-// unmarshalls object
-Object result = unmarshaller.unmarshal(saxSource);
-    		

1.1.4.  - XMLContext - A consolidated way to bootstrap Castor -

- With Castor 1.1.2, the - org.exolab.castor.xml.XMLContext - class has been added to the Castor marshalling framework. - This new class provides a bootstrap mechanism for Castor - XML, and allows easy (and efficient) instantiation of - org.exolab.castor.xml.Marshaller - and - org.exolab.castor.xml.Unmarshaller - instances as needed. -

- As shown above, the - org.exolab.castor.xml.XMLContext - class offers various factory methods to obtain a new - org.exolab.castor.xml.Marshaller, - org.exolab.castor.xml.Unmarshaller. -

- When you need more than one - org.exolab.castor.xml.Unmarshaller - instance in your application, please call - org.exolab.castor.xml.XMLContext.createUnmarshaller() - as required. As all - Unmarshaller - instances are created from the very same - XMLContext - instance, overhead will be minimal. Please note, though, - that use of one - Unmarshaller - instance is not thread-safe. -

1.1.5. Using existing Classes/Objects

- Castor can marshal "almost" any arbitrary Object to and from - XML. When descriptors are not available for a specfic Class, - the marshalling framework uses reflection to gain - information about the object. -

[Note]Note
- Actually an in memory set of descriptors are created for the - object and we will soon have a way for saving these - descriptors as Java source, so that they may be modified and - compiled with little effort. -

- If a set of descriptors exist for the classes, then Castor - will use those to gain information about how to handle the - marshalling. See Section 1.1.6, “Class Descriptors” - for more information. -

- There is one main restrictions to marshalling objects. These - classes must have have a public default constructor (ie. a - constructor with no arguments) and adequete "getter" and - "setter" methods to be properly be marshalled and - unmarshalled. -

- The example illustrated in the previous section - Section 1.1.2, “Castor XML - The XML data binding framework” - demonstrates how to use the framework with existing classes. -

1.1.6. Class Descriptors

- Class descriptors provide the "Castor Framework" with - necessary information so that the Class can be marshalled - properly. The class descriptors can be shared between the - JDO and XML frameworks. -

- Class descriptors contain a set of - ??? -

- XML Class descriptors provide the marshalling framework with - the information it needs about a class in order to be - marshalled to and from XML. The XMLClassDescriptor - org.exolab.castor.xml.XMLClassDescriptor. -

- XML Class Descriptors are created in four main ways. Two of - these are basically run-time, and the other two are compile - time. - -

1. Compile-Time Descriptors

- To use "compile-time" class descriptors, one can - either implement the - org.exolab.castor.xml.XMLClassDescriptor - interface for each class which needs to be - "described", or have the - Source Code Generator - create the proper descriptors. -

- The main advantage of compile-time descriptors is - that they are faster than the run-time approach. -

-

2. Run-Time Descriptors

- To use "run-time" class descriptors, one can either - simply let Castor introspect the classes, a mapping - file can be provided, or a combination of both - "default introspection" and a specified mapping file - may be used. -

- For "default introspection" to work the class being - introspected must have adequete setter/getter - methods for each field of the class that should be - marshalled and unmarshalled. If no getter/setter - methods exist, Castor can handle direct field access - to public fields. It does not do both at the same - time. So if the respective class has any - getter/setter methods at all, then no direct field - access will take place. -

- There is nothing to do to enable "default - introspection". If a descriptor cannot be found for - a class, introspection occurs automatically. -

- Some behavior of the introspector may be controlled - by setting the appropriate properties in the - castor.properties - file. Such behavior consists of changing the naming - conventions, and whether primitive types are treated - as attributes or elements. See - castor.properties - file for more information. -

- A mapping file may also be used to "describe" the - classes which are to be marshalled. The mapping is - loaded before any marshalling/unmarshalling takes - place. See - org.exolab.castor.mapping.Mapping -

- The main advantage of run-time descriptors is that - it takes very little effort to get something - working. -

-

1.2. XML Mapping

1.2.1. Introduction

Castor XML mapping is a way to simplify the binding of java classes to + // Marshal the person object + Person person = (Person) + Unmarshaller.unmarshal(Person.class, reader); +

+ Marshalling and unmarshalling is basically that simple. +

[Note]Note
+ Note: The above example uses the + + static + + methods of the marshalling framework, and as such no + Marshaller and/or Unmarshaller instances need to be + created. A common mistake in this context when using a + mapping file + is to call the + org.exolab.castor.xml.Marshaller + or + org.exolab.castor.xml.Unmarshaller + as in the above example. This won't work, as the mapping + will be ignored. +

+ In + introspection mode + , Castor XML uses Java reflection to establish the + binding between the Java classes (and their properties) + and the XML, following a set of (default) naming rules. + Whilst it is possible to change to a different set of + naming rules, there's no way to override this (default) + naming for individual artifacts. In such a case, a + mapping file + should be used. +

1.1.2.2. Mapping mode

+ In + mapping mode + , the user provides Castor XML with a user-defined + mapping (in form of a mapping file) that allows the + (partial) definition of a customized mapping between + Java classes (and their properties) and XML. +

+ When you are using a mapping file, create an instance of the + org.exolab.castor.xml.XMLContext + class and use the + org.exolab.castor.xml.XMLContext.addMapping(Mapping) + + method to provide Castor XML with one of more mapping files. +

+ To start using Castor XML for marshalling and/or + unmarshalling based upon your custom mapping, create + instances of + org.exolab.castor.xml.Marshaller + and + org.exolab.castor.xml.Unmarshaller + as needed using one of the following methods: +

Table 1.1.  + Methods on XMLContext to create Un-/Marshaller + objects +

Method nameDescription
+

+ + createMarshaller + +

+
+

+ Creates a + + Marshaller + + instance. +

+
+

+ + createUnmarshaller + +

+
+

+ Creates a + + Unmarshaller + + instance. +

+

+ and call any of the + non-static + (un)marshal methods to trigger data binding in either + way. +

+ Below code shows a full example that demonstrates + unmarshalling a + Person + instance from XML using a + org.exolab.castor.xml.Unmarshaller + instance as obtained from an XMLContext previously + configured to your needs. +

Example 1.2. Unmarshalling from XML using a mapping

+               import org.exolab.castor.xml.XMLContext; import
+               org.exolab.castor.mapping.Mapping; import
+               org.exolab.castor.xml.Unmarshaller;
+
+               // Load Mapping
+               Mapping
+               mapping = new Mapping();
+               mapping.loadMapping("mapping.xml");
+
+
+               // initialize and configure XMLContext
+
+               XMLContext context = new XMLContext();
+               context.addMapping(mapping);
+
+
+               // Create a Reader to the file to
+               unmarshal from
+
+               reader = new FileReader("test.xml");
+
+               // Create a new Unmarshaller
+               Unmarshaller unmarshaller =
+               context.createUnmarshaller();
+               unmarshaller.setClass(Person.class);
+
+               // Unmarshal the person object
+               Person
+               person = (Person)
+               unmarshaller.unmarshal(reader);
+            

+ To marshal the very same + Person + instance to XML using a + org.exolab.castor.xml.Marshaller + obtained from the + same + org.exolab.castor.xml.XMLContext + , + use code as follows: +

Example 1.3. Marshalling to XML using a mapping

+               import org.exolab.castor.xml.Marshaller;
+
+               // create a Writer to the
+               file to marshal to
+               Writer writer = new FileWriter("out.xml");
+
+               // create a new Marshaller
+               Marshaller
+               marshaller = context.createMarshaller();
+               marshaller.setWriter(writer);
+
+               // marshal the person object
+               marshaller.marshal(person);
+            

+ Please have a look at + XML Mapping + for a detailed discussion of the mapping file and its + structure. +

+ For more information on how to effectively deal with + loading mapping file(s) especially in multi-threaded + environments, please check the + best practice + section. +

1.1.2.3. Descriptor mode

TBD

1.1.3. Sources and destinations

+ Castor supports multiple sources and destinations from which + objects can be marshalled and unmarshalled. +

Table 1.2.  + Marshalling destinations. +

DestinationDescription
+

+ marshal(java.io.Writer) +

+
+

+ The character stream. +

+
+

+ marshal(org.xml.sax.DocumentHandler) + +

+
+

+ The SAX document handler. +

+
+

+ marshal(org.xml.sax.ContentHandler) + +

+
+

+ The SAX content handler. +

+
+

+ marshal(org.w3c.dom.Node) +

+
+

+ The DOM node to marshall object into. +

+
+

+ marshal(javax.xml.stream.XMLStreamWriter) + +

+
+

+ The STaX cursor API. +

+
+

+ marshal(javax.xml.stream.XMLEventWriter) + +

+
+

+ The STaX iterator API. +

+
+

+ marshal(javax.xml.transform.Result) + +

+
+

+ javax.xml.transform.dom.DOMResult + + , + javax.xml.transform.sax.SAXResult + + and + javax.xml.transform.stream.StreamResult + + are supported. +

+

Table 1.3.  + Unmarshalling sources. +

SourceDescription
+

+ unmarshal(java.io.Reader) +

+
+

+ A character stream. +

+
+

+ unmarshal(org.xml.sax.InputSource) + +

+
+

+ A SAX input source. +

+
+

+ unmarshal(org.w3c.dom.Node) + +

+
+

+ A W3C DOM node which will be used for unmarshalling. +

+
+

+ unmarshal(javax.xml.stream.XMLStreamReader) + +

+
+

+ A StAX cursor. +

+
+

+ unmarshal(javax.xml.stream.XMLEventReader) + +

+
+

+ A StAX iterator. +

+
+

+ unmarshal(javax.xml.transform.Source) + +

+
+

+ Supports + javax.xml.transform.dom.DOMSource + + , + javax.xml.transform.sax.SAXSource + + and + javax.xml.transform.stream.StreamSource + + . +

+

+ Castor 1.3.2 and 1.3.3 introduced support for the STaX API for + both for marshalling and unmarshalling. The + framework fully + supports the STaX cursor and iterator API. +

+ An example of marshalling using STaX: +

Example 1.4. Marshalling to a StAX java.xml.stream.XMLStreamWriter +

+            // marshalling using STaX
+            StringWriter writer = new StringWriter();
+            XMLOutputFactory outputFactory = XMLOutputFactory.newInstance();
+            XMLStreamWriter xmlStreamWriter =
+            outputFactory.createXMLStreamWriter(writer);
+
+            marshaller.setXmlStreamWriter(xmlStreamWriter);
+            marshaller.marshal(object);
+         

+ Also beginning from version 1.3.3, the framework has been + modified to support Source and Result interfaces. + Now it + is possible to use SAXSource, DOMSource and StreamSource + for unmarshalling and corresponding classes for + marshalling. +

+ Below an example of marshalling into Result: +

Example 1.5.  + Marshalling to a + javax.xml.transform.dom.DOMResult +

+            // instance of object to be marshalled
+            Object obj = ...
+
+            // marshalling
+            into DOM node
+            XMLContext xmlContext = ... // creates the xml context
+
+            // creates marshaller
+            Marshaller
+            marshaller = xmlContext.createMarshaller();
+
+            // creates DOM factory
+            DocumentBuilderFactory factory =
+            DocumentBuilderFactory.newInstance();
+            DocumentBuilder builder = factory.newDocumentBuilder();
+
+            // creates
+            document
+            Document document = builder.newDocument();
+
+            // sets the DOM result for the marshaller
+            marshaller.setResult(new DOMResult(document));
+
+            // marshalls object
+            marshaller.marshall(obj);
+         

+ Another example of unmarshalling from Source: +

Example 1.6.  + Unmarshalling from a + javax.xml.transform.sax.SAXSource +

+            // unmarshalling from SAX InputSource
+            XMLContext xmlContext = ... //
+            creates the xml context
+
+            // creates unmarshaller
+            Unmarshaller unmarshaller = xmlContext.createUnmarshaller();
+
+            // creates SAX input source
+            InputSource inputSource = new InputSource(new StringReader(xml));
+
+            // creates
+            instance of SAXSource
+            SAXSource saxSource = new SAXSource(inputSource);
+
+            // unmarshalls object
+            Object result =
+            unmarshaller.unmarshal(saxSource);
+         

1.1.4.  + XMLContext - A consolidated way to bootstrap Castor +

+ With Castor 1.1.2, the + org.exolab.castor.xml.XMLContext + class has been added to the Castor marshalling framework. + This new class provides a bootstrap mechanism for + Castor + XML, and allows easy (and efficient) instantiation of + org.exolab.castor.xml.Marshaller + and + org.exolab.castor.xml.Unmarshaller + instances as needed. +

+ As shown above, the + org.exolab.castor.xml.XMLContext + class offers various factory methods to obtain a new + org.exolab.castor.xml.Marshaller + , + org.exolab.castor.xml.Unmarshaller + . +

+ When you need more than one + org.exolab.castor.xml.Unmarshaller + instance in your application, please call + org.exolab.castor.xml.XMLContext.createUnmarshaller() + + as required. As all + Unmarshaller + instances are created from the very same + XMLContext + instance, overhead will be minimal. Please note, though, + that use of one + Unmarshaller + instance is not thread-safe. +

1.1.5. Using existing Classes/Objects

+ Castor can marshal "almost" any arbitrary Object to and from + XML. When descriptors are not available for a + specfic Class, + the marshalling framework uses reflection to gain + information about the object. +

[Note]Note
+ Actually an in memory set of descriptors are created for the + object and we will soon have a way for saving + these + descriptors as Java source, so that they may be modified and + compiled with little effort. +

+ If a set of descriptors exist for the classes, then Castor + will use those to gain information about how to + handle the + marshalling. See + Section 1.1.6, “Class Descriptors” + for more information. +

+ There is one main restrictions to marshalling objects. These + classes must have have a public default + constructor (ie. a + constructor with no arguments) and adequete "getter" and + "setter" methods to be properly be + marshalled and + unmarshalled. +

+ The example illustrated in the previous section + Section 1.1.2, “Castor XML - The XML data binding framework” + demonstrates how to use the framework with existing classes. +

1.1.6. Class Descriptors

+ Class descriptors provide the "Castor Framework" with + necessary information so that the Class can be + marshalled + properly. The class descriptors can be shared between the + JDO and XML frameworks. +

+ Class descriptors contain a set of + ??? +

+ XML Class descriptors provide the marshalling framework with + the information it needs about a class in order to + be + marshalled to and from XML. The XMLClassDescriptor + org.exolab.castor.xml.XMLClassDescriptor + . +

+ XML Class Descriptors are created in four main ways. Two of + these are basically run-time, and the other two are + compile + time. + +

1. Compile-Time Descriptors

+ To use "compile-time" class descriptors, one can + either implement the + org.exolab.castor.xml.XMLClassDescriptor + + interface for each class which needs to be + "described", or have the + Source Code Generator + create the proper descriptors. +

+ The main advantage of compile-time descriptors is + that they are faster than the run-time approach. +

+

2. Run-Time Descriptors

+ To use "run-time" class descriptors, one can either + simply let Castor introspect the classes, a mapping + file can be provided, or a combination of both + "default introspection" and a specified mapping file + may be + used. +

+ For "default introspection" to work the class being + introspected must have adequete setter/getter + methods for each field of the class that should be + marshalled and unmarshalled. If no getter/setter + methods exist, Castor can handle direct field access + to public fields. It does not do both at the same + time. So if the respective class has any + getter/setter methods at all, then no direct field + access will + take place. +

+ There is nothing to do to enable "default + introspection". If a descriptor cannot be found for + a class, + introspection occurs automatically. +

+ Some behavior of the introspector may be controlled + by setting the appropriate properties in the + castor.properties + file. Such behavior consists of changing the naming + conventions, and whether primitive types are treated + as attributes or elements. See + castor.properties + file for more information. +

+ A mapping file may also be used to "describe" the + classes which are to be marshalled. The mapping is + loaded before any marshalling/unmarshalling takes + place. See + org.exolab.castor.mapping.Mapping +

+ The main advantage of run-time descriptors is that + it takes very little effort to get something + working. +

+

1.2. XML Mapping

1.2.1. Introduction

Castor XML mapping is a way to simplify the binding of java classes to XML document. It allows to transform the data contained in a java object model into/from an XML document.

Although it is possible to rely on Castor's default behavior to marshal and unmarshal Java objects into an XML document, it might be necessary to have more @@ -840,7 +867,7 @@ access ( read-only | shared | exclusive | db-locked ) "shared" key-generator IDREF #IMPLIED >

The <class> element contains all the information used to map a Java class into an XML document. The content of <class> - is mainly used to describe the fields that will be mapped.

Table 1.4. Description of the attributes

NameDescription
nameThe fuly-qualified name of the Java class that we want to map to.
extendsThe fully qualified name of a parent class. This attribute should be used only + is mainly used to describe the fields that will be mapped.

Table 1.4. Description of the attributes

NameDescription
nameThe fuly-qualified name of the Java class that we want to map to.
extendsThe fully qualified name of a parent class. This attribute should be used only if this class extends another class for which a class mapping is provided. It should not be used if there's no class maping for the extended class.
dependsUsed with Castor JDO only; for more information on this field, please @@ -853,7 +880,7 @@ of control of the introspector: it is possible to specifiy only the fields whose Castor default behavior does not suite our needs. These feature should simplify the handling of complexe class containing many - fields. Please see below for an example usage of this attribute.

Table 1.5. Description of the content

NameDescription
descriptionAn optional description.
cache-typeUsed with Castor JDO only; for more information on this field, please see + fields. Please see below for an example usage of this attribute.

Table 1.5. Description of the content

NameDescription
descriptionAn optional description.
cache-typeUsed with Castor JDO only; for more information on this field, please see see the JDO documentation.
map-to Used if the name of the element is not the name of the class. By default, Castor will infer the name of the element to be mapped from @@ -938,7 +965,7 @@ for an element named 'test-element' Castor will try to use a class named 'TestElement'

Please note that it is possible to change the naming scheme used by Castor to translate between the XML name and the Java class name in the - castor.properties file.

Table 1.6. Description of attributes

xmlName of the element that the class is associated to.
ns-uriNamespace URI
ns-prefixDesired namespace
element-definitionTrue if the descriptor as created from a schema definition that + castor.properties file.

Table 1.6. Description of attributes

xmlName of the element that the class is associated to.
ns-uriNamespace URI
ns-prefixDesired namespace
element-definitionTrue if the descriptor as created from a schema definition that was of type element (as opposed to a <complexType> definition). This only is useful in the context of source code generation.
ldap-dnNot used for Castor XML
ldap-ocNot used for Castor XML

1.2.3.4.1. <map-to> samples

The following mapping fragment defines a <map-to element for the OrderItem class, manually setting the element name to a value @@ -984,8 +1011,8 @@ rules to apply.

1. Determine <type>.

  • If there is no 'collection' attribute, the <type> is just the Java type specified in <type_attribute> (the value of the 'type' attribute in the XML document). The value of <type_attribute> can be a fully qualified Java object - like 'java.lang.String' or one of the allowed short name:

    Table 1.7. Type shortnames

    short namePrimitive type?Java Class
    otherNjava.lang.Object
    stringNjava.lang.String
    integerYjava.lang.Integer.TYPE
    longYjava.lang.Long.TYPE
    booleanYjava.lang.Boolean.TYPE
    doubleYjava.lang.Double.TYPE
    floatYjava.lang.Float.TYPE
    big-decimalNjava.math.BigDecimal
    byteYjava.lang.Byte.TYPE
    dateNjava.util.Date
    shortYjava.lang.Short.TYPE
    charYjava.lang.Character.TYPE
    bytesNbyte[]
    charsNchar[]
    stringsNString[]
    localeNjava.util.Locale

    Castor will try to cast the data in the XML file in the proper Java type.

  • If there is a collection attribute - , you can use the following table:

    Table 1.8. Type implementations

    name<type>default implementation
    array<type_attribute>[]<type_attribute>[]
    arraylistjava.util.Listjava.util.Arraylist
    vectorjava.util.Vectorjava.util.Vector
    hashtablejava.util.Hashtablejava.util.Hashtable
    collectionjava.util.Collectionjava.util.Arraylist
    setjava.util.Setjava.util.Hashset
    mapjava.util.Mapjava.util.Hashmap
    sortedsetjava.util.SortedSetjava.util.TreeSet

    The type of the object inside the collection is <type_attribute>. The 'default + like 'java.lang.String' or one of the allowed short name:

    Table 1.7. Type shortnames

    short namePrimitive type?Java Class
    otherNjava.lang.Object
    stringNjava.lang.String
    integerYjava.lang.Integer.TYPE
    longYjava.lang.Long.TYPE
    booleanYjava.lang.Boolean.TYPE
    doubleYjava.lang.Double.TYPE
    floatYjava.lang.Float.TYPE
    big-decimalNjava.math.BigDecimal
    byteYjava.lang.Byte.TYPE
    dateNjava.util.Date
    shortYjava.lang.Short.TYPE
    charYjava.lang.Character.TYPE
    bytesNbyte[]
    charsNchar[]
    stringsNString[]
    localeNjava.util.Locale

    Castor will try to cast the data in the XML file in the proper Java type.

  • If there is a collection attribute + , you can use the following table:

    Table 1.8. Type implementations

    name<type>default implementation
    array<type_attribute>[]<type_attribute>[]
    arraylistjava.util.Listjava.util.Arraylist
    vectorjava.util.Vectorjava.util.Vector
    hashtablejava.util.Hashtablejava.util.Hashtable
    collectionjava.util.Collectionjava.util.Arraylist
    setjava.util.Setjava.util.Hashset
    mapjava.util.Mapjava.util.Hashmap
    sortedsetjava.util.SortedSetjava.util.TreeSet

    The type of the object inside the collection is <type_attribute>. The 'default implementation' is the type used if the object holding the collection is found to be null and need to be instantiated.

    For hashtable and maps (since 0.9.5.3), Castor will save both key and values. When marshalling output <key> and <value> @@ -1015,7 +1042,7 @@ letter in uppercase without modifying the other letters.

    The content of <field> will contain the information on how to map this given field to SQL, XML, ...

  • Exceptions concerning collection fields:

    The default is to treat the 'get-method' as a simple getter returning the collection field, and the 'set-method' as a simple getter used to set - a new instance on the collection field.

    Table 1.9. Collection field access

    ParameterDescription
    'get-method' + a new instance on the collection field.

    Table 1.9. Collection field access

    ParameterDescription
    'get-method'

    If a 'get-method' is provided for a collection field, Castor - @@ -1068,7 +1095,7 @@ collection element while unmarshalling.

    -

    Table 1.10. Description of the attributes

    NameDescription
    nameThe field 'name' is required even if no such field exists in the +

    Table 1.10. Description of the attributes

    NameDescription
    nameThe field 'name' is required even if no such field exists in the class. If 'direct' access is used, 'name' should be the name of a public instance member in the object to be mapped (the field must be public, not static and not transient). If no direct access @@ -1094,7 +1121,7 @@ to infer the name of this method with the algorithm described above.
    create-methodOptionally defines a factory method for the instantiation of a FieldHandler
    handlerIf present, specifies one of the following:
    • The fully-qualified class name of a custom field handler implementation, or

    • The (short) name of a configurable field handler - definition.


    1.2.3.6. Description of the content

    + definition.


1.2.3.6. Description of the content

In the case of XML mapping, the content of a field element should be one and only one <bind-xml> element describing how this given field will be mapped into the XML document. @@ -1118,13 +1145,13 @@

Tip: the XML HOW-TO section has a HOW-TO document for mapping constructor arguments, incl. a fully working mapping. -

1.2.3.6.2. Sample 1: Defining a custom field handler

The following mapping fragment defines a <field> element for the +

1.2.3.6.2. Sample 1: Defining a custom field handler

The following mapping fragment defines a <field> element for the member property of the org.some.package.Root class, specifying a custom org.exolab.castor.mapping.FieldHandler implementation.

 <class name="org.some.package.Root">
    <field name="member" type="string" handler="org.some.package.CustomFieldHandlerImpl"/>
-</class>
1.2.3.6.3. Sample 2: Defining a custom configurable field handler

+</class>

1.2.3.6.3. Sample 2: Defining a custom configurable field handler

The same custom field handler as in the previous sample can be defined with a separate configurable <field-handler> definition, where additional configuration can be provided. @@ -1137,7 +1164,7 @@

 <class name="org.some.package.Root">
    <field name="member" type="string" handler="myHandler"/>
-</class>
1.2.3.6.4. Sample 3: Using the container attribute

+</class>

1.2.3.6.4. Sample 3: Using the container attribute

Assume you have a class mapping for a class Order which defines - amongst others - a field mapping as follows, where the field item refers to an instance of a class Item. @@ -1192,7 +1219,7 @@ The <bind-xml> element is used to describe how a given Java field should appear in an XML document. It is used both for marshalling and unmarshalling. -

Table 1.11. Description of the attributes

nameThe name of the element or attribute. +

Table 1.11. Description of the attributes

nameThe name of the element or attribute.
[Note]Note

The name is a QName, and a namespace prefix may be used to indicate the element or attribute belongs to a certain namespace. Note the prefix is not preserved or used during marshalling, it's simply used for @@ -1575,11 +1602,11 @@ <?xml version="1.0"?> <foo> <abc bar="..."/>; -</foo>

1.2.7. Tips

Some helpful hints...

1.2.7.1. Automatically create a mapping file

+</foo>

1.2.7. Tips

Some helpful hints...

1.2.7.1. Automatically create a mapping file

Castor comes with a tool that can automatically create a mapping from class files. Please see the XML FAQ for more information. -

1.2.7.2. Create your own FieldHandler

+

1.2.7.2. Create your own FieldHandler

Sometimes to handle complex situations you'll need to create your own FieldHandler. Normally a FieldHandler deals with a specific class and field, however generic, reusable FieldHandlers can also be created @@ -1590,7 +1617,7 @@ For more information on writing a custom FieldHandler please see the following: XML FieldHandlers. -

1.2.7.3. Mapping constructor arguments (since 0.9.5)

+

1.2.7.3. Mapping constructor arguments (since 0.9.5)

You may map any attributes to constructor arguments. For more information on how to map constructor arguments see the information available in the section on set-method @@ -1600,19 +1627,19 @@

Tip: the XML HOW-TO section has a HOW-TO document for mapping constructor arguments. -

1.2.7.4. Preventing Castor from checking for a default constructor (since 0.9.5)

+

1.2.7.4. Preventing Castor from checking for a default constructor (since 0.9.5)

Sometimes it's useful to prevent Castor from checking for a default constructor, such as when trying to write a mapping for an interface or type-safe enum. You can use the "undocumented" verify-constructable="false" attribute on the <class> element to prevent Castor from looking for the default constructor. -

1.2.7.5. Type safe enumeration mapping (since 0.9.5)

+

1.2.7.5. Type safe enumeration mapping (since 0.9.5)

While you can always use your own custom FieldHandler for handling type-safe enumeration classes, Castor does have a built-in approach to dealing with these types of classes. If the type-safe enum class has a public static <type> valueOf(String) method Castor will call that method so that the proper instance of the enumeration is returned. Note: You'll also need to disable the default constructor check in the mapping file (see section 7.4 above to see more on this). -

1.3. Configuring Castor XML (Un)Marshaller

1.3.1. Introduction

To be defined ...

1.3.2. Configuring the Marshaller

+

1.3. Configuring Castor XML (Un)Marshaller

1.3.1. Introduction

To be defined ...

1.3.2. Configuring the Marshaller

Before using the Marshaller class for marshalling Java objects to XML, the @@ -1621,13 +1648,13 @@ variety of set-methods on this class. This section enlists the available properties and provides you with information about their meaning, possible values and the default value. -

Table 1.12. Marshaller properties

NameDescriptionValuesDefaultSince
suppressNamespaces  +

Table 1.12. Marshaller properties

NameDescriptionValuesDefaultSince
suppressNamespaces  true or false false - -

1.3.3. Configuring the Unmarshaller

+

-

1.3.3. Configuring the Unmarshaller

Before using the Unmarshaller class for unmarshalling Java objects from XML, the @@ -1636,10 +1663,10 @@ variety of set-methods on this class. This section enlists the available properties and provides you with information about their meaning, possible values and the default value. -

Table 1.13. Unmarshaller properties

NameDescriptionValuesDefaultSince
rootObject  +

Table 1.13. Unmarshaller properties

NameDescriptionValuesDefaultSince
rootObject  A Class instance identifying the root class to use for unmarshalling. - --

1.4. Usage of Castor and XML parsers

1.4.1. SAX/DOM

+

--

1.4. Usage of Castor and XML parsers

1.4.1. SAX/DOM

Being an XML data binding framework by definition, Castor XML relies on the availability of an XML parser at run-time. In Java, an XML parser is by default accessed though either the DOM or the SAX APIs: that implies @@ -1672,12 +1699,12 @@

The following table enlists the requirements relative to the Java version used in your environment. -

Table 1.14. XML APIs on various Java versions

Java 1.4 and belowJava 5.0 and above
Xerces 2.6.2 -
XML APIs -

1.4.2. StAX

+

Table 1.14. XML APIs on various Java versions

Java 1.4 and belowJava 5.0 and above
Xerces 2.6.2 -
XML APIs -

1.4.2. StAX

As of Castor 1.3.2, Castor XML can be used with a StAX-compliant parser to unmarshal from XML. Please see Example 1.1, “XML produced in introspection mode” for StAX-specific unmarshal methods added to org.exolab.castor.xml.Unmarshaller. -

1.5. XML configuration file

1.5.1. News

  • +

1.5. XML configuration file

1.5.1. News

  • Added a section on how to access the properties as defined in the Castor properties file from within code. @@ -1720,7 +1747,7 @@ JDBC statements to be output during logging. When turned off, no logging statements will be generated at all. -

1.5.2. Introduction

+

1.5.2. Introduction

Castor uses a configuration file for environmental properties that are shared across all the Castor sub systems. The configuration file is specified as a Java @@ -1754,7 +1781,7 @@

The following properties are currently supported in the configuration file: -

Table 1.15. 

NameDescriptionValuesDefaultSince
+

Table 1.15. 

NameDescriptionValuesDefaultSince
org.exolab.castor.xml.introspector.primitive.nodetype Property specifying the type of XML node to use @@ -1956,7 +1983,7 @@ As of Castor 1.3.3, the default values for org.exolab.castor.sax.features and org.exolab.castor.sax.features-to-disable have changed to include/disable selected features. -

1.5.3. Accessing the properties from within code

+

1.5.3. Accessing the properties from within code

As of Castor 1.1, it is possible to read and set the value of properties programmatically using the getProperty(String) and setProperty(String,String) on the following classes: @@ -1973,7 +2000,7 @@ and org.exolab.castor.xml.Marshaller instances created thereafter using the org.exolab.castor.xml.XMLContext.createUnmarshaller() and org.exolab.castor.xml.XMLContext.createMarshaller() methods. -

1.6. Castor XML - Tips & Tricks

1.6.1. Logging and Tracing

When developing using Castor, we recommend that you use the various +

1.6. Castor XML - Tips & Tricks

1.6.1. Logging and Tracing

When developing using Castor, we recommend that you use the various setLogWriter methods to get detailed information and error messages.

Using a logger with org.exolab.castor.mapping.Mapping will provide detailed information about mapping decisions made by Castor and @@ -1990,7 +2017,7 @@ each message. Since logging is used for warning messages and simple tracing, Castor does not require a sophisticated logging mechanism.

Interested in integratating Castor's logging with Log4J? Then see - this question in the JDO FAQ.

1.6.2. Indentation

By default the marshaler writes XML documents without indentation. When + this question in the JDO FAQ.

1.6.2. Indentation

By default the marshaler writes XML documents without indentation. When developing using Castor or when debugging an application that uses Castor, it might be desireable to use indentation to make the XML documents human-readable. To turn indentation on, modify the Castor @@ -1999,14 +2026,14 @@ org.exolab.castor.indent=true

Indentation inflates the size of the generated XML documents, and also consumes more CPU. It is recommended not to use indentation in a - production environment.

1.6.3. XML:Marshal validation

It is possible to disable the validation in the marshaling framework + production environment.

1.6.3. XML:Marshal validation

It is possible to disable the validation in the marshaling framework by modifying the Castor properties file or by creating a new properties file in the classpath (named castor.properties) with the following content:

  org.exolab.castor.marshalling.validation=false
-        

1.6.4. NoClassDefFoundError

+

1.6.4. NoClassDefFoundError

Check your CLASSPATH, check it often, there is no reason not to! -

1.6.5. Mapping: auto-complete

[Note]Note

This only works with Castor-XML.

+

1.6.5. Mapping: auto-complete

[Note]Note

This only works with Castor-XML.

To save time when writing your mappings, try using the auto-complete attribute of class. When using auto-complete, Castor will introspect your class and automatically fill in any missing fields. @@ -2020,7 +2047,7 @@ to override some of the behavior of a compiled descriptor by using auto-complete.

[Note]Note

Be careful to make sure you use the exact field name as specified in the generated descriptor file in order to modify the behavior of the field descriptor! Otherwise, you'll probably end up with two fields being marshaled! -

1.6.6. Create method

+

1.6.6. Create method

Castor requires that classes have a public, no-argument constructor in order to provide the ability to marshal & unmarshal objects of that type.

@@ -2058,7 +2085,7 @@ exist as a method in the current class (i.e. the class being described by the current <class> element). In the future it may be possible to use external static factory methods. -

1.6.7. MarshalListener and UnmarshalListener

+

1.6.7. MarshalListener and UnmarshalListener

Castor allows control on the object being marshaled or unmarshaled by a set of two listener interfaces: MarshalListener and UnmarshalListener.

@@ -2073,7 +2100,7 @@ but as an extention of this interface had been required a new interface in org.castor.xml was introduced. Currently the org.exolab.castor.xml.UnmarshalListener interface can still be used but is deprecated. -

1.7. Castor XML: Writing Custom FieldHandlers

1.7.1. Introduction

+

1.7. Castor XML: Writing Custom FieldHandlers

1.7.1. Introduction

Sometimes we need to deal with a data format that Castor doesn't support out-of-the-box, such as an unsupported Date/Time representation, or we want to wrap and unwrap fields in Wrapper @@ -2092,7 +2119,7 @@ in the mapping file we can basically intercept the calls to retrieve or set a field's value and do whatever conversions are necessary. -

1.7.2. Writing a simple FieldHandler

+

1.7.2. Writing a simple FieldHandler

When a writing a FieldHandler handler we need to provide implementations of the various methods specified in the FieldHandler interface. The main two methods are the getValue and setValue methods which @@ -2440,7 +2467,7 @@ class in our GeneralizedFieldHandler. This allows us to use the same exact FieldHandler for any field that requires this type of conversion. -

1.7.4. Use ConfigurableFieldHandler for more flexibility

+

1.7.4. Use ConfigurableFieldHandler for more flexibility

In some situations, the GeneralizedFieldHandler might not provide sufficient flexibility. Suppose your XML document uses more than one date format. You could solve this by creating a GeneralizedFieldHandler @@ -2617,7 +2644,7 @@ useful abstract classes, you'd probably want to use them anyway. It eliminates the need to implement the ConfigurableFieldHandler interface yourself. -

1.7.5. Reuse a ConfigurableFieldHandler for more than one field definition

+

1.7.5. Reuse a ConfigurableFieldHandler for more than one field definition

Imagine a scenario where you want to use above ConfigurableFieldHandler instance for more than one field - a valid use case as it promotes reuse.

@@ -2668,7 +2695,7 @@
     }
     
 }    	
-    	

1.7.6. No Constructor, No Problem!

+

1.7.6. No Constructor, No Problem!

A number of classes such as type-safe enum style classes have no constructor, but instead have some sort of static factory method used for converting a string value into an instance of the class. With a custom FieldHandler we can allow Castor to @@ -2915,7 +2942,7 @@ } }

-

1.7.7. Collections and FieldHandlers

+

1.7.7. Collections and FieldHandlers

[Note]Note

With Castor 0.9.6 and later, the GeneralizedFieldHandler automatically supports iterating over the items of a collection and passing them @@ -2946,7 +2973,7 @@ convertUponSet method (or the setValue() for those not using GeneralizedFieldHandler).

-

1.8. Best practice

+

1.8. Best practice

There are many users of Castor XML who (want to) use Castor XML in in high-volume applications. To fine-tune Castor for such an environment, it is necessary to understand many of the product features in detail @@ -2959,7 +2986,7 @@ Please be aware that this document is under construction. But still we believe that this document -- even when in its conception phase -- provides valuable information to users of Castor XML. -

1.8.1. General

1.8.1.1. Source Generator

+

1.8.1. General

1.8.1.1. Source Generator

It is not generally recommended to generate code into the default package, especially since code in the default package cannot be referenced from code in any other package. @@ -2972,7 +2999,7 @@ generated code also go into that package. However, it would be reasonable to generate source to process this XML configuration file into the package org.example.userdialog.xmlconfig. -

1.8.2. Performance Considerations

1.8.2.1. General

+

1.8.2. Performance Considerations

1.8.2.1. General

Creating instances of org.exolab.castor.xml.Marshaller and org.exolab.castor.xml.Unmarshaller for the purpose of XML data binding is easy to achieve at the API usage level. However, @@ -2991,7 +3018,7 @@ org.exolab.castor.xml.ClassDescriptorResolver component. This cache allows reuse of these Descriptor instances between (Un)Marshaller invocations. -

1.8.2.2. Use of XMLContext - With and without a mapping file

+

1.8.2.2. Use of XMLContext - With and without a mapping file

With the introduction of the new org.exolab.castor.xml.XMLContext class, the use of a ClassDescriptorResolver has been greatly simplified in that such @@ -3029,12 +3056,12 @@ The org.exolab.castor.xml.XMLContext class provides for various methods to load class descriptors for individual classes and/or packages. -

Table 1.16. Methods on XMLContext to create Un-/Marshaller objects

MethodDescription.castor.cdr
addClass(Class) on org.exolab.castor.xml.XMLContextLoads the class descriptor for one class.n/a
addClass(Class[]) on org.exolab.castor.xml.XMLContextLoads the class descriptors for a collection of classes.n/a
addPackage(String) on org.exolab.castor.xml.XMLContextLoads the class descriptor for all classes in the defined package.Required
addPackages(String[]) on org.exolab.castor.xml.XMLContextLoads the class descriptor for all classes in the defined packages.Required

[Note]Note

+

Table 1.16. Methods on XMLContext to create Un-/Marshaller objects

MethodDescription.castor.cdr
addClass(Class) on org.exolab.castor.xml.XMLContextLoads the class descriptor for one class.n/a
addClass(Class[]) on org.exolab.castor.xml.XMLContextLoads the class descriptors for a collection of classes.n/a
addPackage(String) on org.exolab.castor.xml.XMLContextLoads the class descriptor for all classes in the defined package.Required
addPackages(String[]) on org.exolab.castor.xml.XMLContextLoads the class descriptor for all classes in the defined packages.Required

[Note]Note

For some of the methods, pre-loading class descriptords will only work if you provide the .castor.cdr file with your generated classes (as generated by the XML code generator). If no such file is shipped, Castor will not be able to pre-load the descriptors, and will fall back to its default descriptor loading mechanism. -

1.8.2.3. Use of Marshaller/Unmarshaller

1.8.2.3.1. Use of ClassDescriptorResolver

+

1.8.2.3. Use of Marshaller/Unmarshaller

1.8.2.3.1. Use of ClassDescriptorResolver

When you do not use the XMLContext class, you will have to manually manage your org.exolab.castor.xml.XMLClassDescriptorResolver. To do @@ -3050,7 +3077,7 @@ classDescriptorResolver.setMappingLoader(mappingLoader);

and then reuse this instance as shown below:

    Unmarshaller unmarshaller = new Unmarshaller();
    unmarshaller.setResolver(classDescriptorResolver);
-   unmarshaller.unmarshal(...);
1.8.2.3.2. Use of ClassDescriptorResolver for pre-loading compiled descriptors

+ unmarshaller.unmarshal(...);

1.8.2.3.2. Use of ClassDescriptorResolver for pre-loading compiled descriptors

When you are not using a mapping file, but you have generated Java classes and their corresponding descriptor classes using the Castor XML code generator, you might want to instruct the @@ -3080,17 +3107,17 @@ The org.exolab.castor.xml.XMLClassDescriptorResolver interface provides various other methods to load class descriptors for individual classes and/or packages. -

Table 1.17. blah

MethodDescriptionRequires .castor.cdr
addClass(String)Loads the class descriptor for one class.No
addClass(String[])Loads the class descriptors for a collection of classes.No
addPackage(String)Loads the class descriptors for all classes in the package defined.Yes
addPackages(String[])Loads the class descriptors for all classes in the package defined.Yes

[Note]Note

+

Table 1.17. blah

MethodDescriptionRequires .castor.cdr
addClass(String)Loads the class descriptor for one class.No
addClass(String[])Loads the class descriptors for a collection of classes.No
addPackage(String)Loads the class descriptors for all classes in the package defined.Yes
addPackages(String[])Loads the class descriptors for all classes in the package defined.Yes

[Note]Note

For some of the methods, pre-loading class descriptords will only work if you provide the .castor.cdr file with your generated classes (as generated by the XML code generator). If no such file is shipped, Castor will not be able to pre-load the descriptors, and will fall back to its default descriptor loading mechanism. -

1.9. Castor XML - HOW-TO's

1.9.1. Introduction

+

1.9. Castor XML - HOW-TO's

1.9.1. Introduction

This is a collection of HOW-TOs. The Castor project is actively seeking additional HOW-TO contributors to expand this collection. For information on how to do that, please see 'How to write a How-to'. -

1.9.2. Documentation

  • +

1.9.2. Documentation

  • How to Author a How-To (Author wanted!)

  • @@ -3102,7 +3129,7 @@

  • How to Author Core Documentation (Author wanted!) -

1.9.3. Contribution

  • +

1.9.4. Mapping

  • +

1.9.5. Validation

  • +

1.9.5. Validation

1.9.6. Source generation

  • +

1.9.7. Others

  • +

1.10. XML FAQ

+

1.10. XML FAQ

This section provides answers to frequently answered questions, i.e. questions that have been asked repeatedly on one of the mailing lists. Please check with these F.A.Q.s frequently, as addressing questions @@ -3204,7 +3231,7 @@

This section is structured along the lines of the following areas ... -

1.10.1. General

1.10.1.1. How do I set the encoding?

+

1.10.1. General

1.10.1.1. How do I set the encoding?

Create a new instance of the Marshaller class and use the @@ -3219,7 +3246,7 @@ Marshaller marshaller = new Marshaller(osw); marshaller.setEncoding(encoding); ... -

1.10.1.2.  +

1.10.1.2.  I'm getting an error about 'xml' prefix already declared?

[Note]Note

For Castor 0.9.5.2 only

@@ -3259,12 +3286,12 @@

[Note]Note

This work-around has only been tested with Xerces 2.5 and above. -

1.10.1.3. Why is my 'get' method called twice?

+

1.10.1.3. Why is my 'get' method called twice?

The get method will be called a second time during the validation process. To prevent this from happening, simply disable validation on the Marshaller or Unmarshaller. -

1.10.1.4.  +

1.10.1.4.  How can I speed up marshalling/unmarshalling performance?

  • Cache the descriptors!

    @@ -3308,7 +3335,7 @@
     				but those seem to be the most popular ones. Let us know
     				if you have a solution that you think we should add
     				here.
    -			

1.10.1.5.  +

1.10.1.5.  How do I ignore elements during unmarshalling?

  • Use the @@ -3333,7 +3360,7 @@ file:

      org.exolab.castor.xml.strictelements=true
    -					

1.10.1.6.  +

1.10.1.6.  Where does Castor search for the castor.properties file?

Castor loads the castor.properties in the following @@ -3352,7 +3379,7 @@ LocalConfiguration.getInstance().getProperties() to change the properties values programatically. -

1.10.1.7.  +

1.10.1.7.  Can I programmatically change the properties found in the castor.properties file?

@@ -3363,18 +3390,18 @@ to change the properties values programatically. -

1.10.2. Introspection

1.10.2.1. Can private methods be introspected?

+

1.10.2. Introspection

1.10.2.1. Can private methods be introspected?

Castor does not currently support introspection of private methods. Please make sure proper public accesssor methods are available for all fields that you wish to be handled by the Marshalling Framework. -

1.10.3. Mapping

1.10.3.1. My mapping file seems to have no effect!

+

1.10.3. Mapping

1.10.3.1. My mapping file seems to have no effect!

Make sure you are not using one of the static methods on the Marshaller/Unmarshaller. Any configuration changes that you make to the Marshaller or Unmarshaller are not available from the static methods. -

1.10.3.2.  +

1.10.3.2.  Are there any tools to automatically create a mapping file?

@@ -3383,7 +3410,7 @@ . There are some 3rd party tools as well. -

1.10.3.3.  +

1.10.3.3.  How do I specify a namespace in the mapping file?

For a specific field you can use a QName for the value @@ -3401,7 +3428,7 @@ more information see the XML Mapping documentation . -

1.10.3.4.  +

1.10.3.4.  How do I prevent a field from being marshaled?

Set the @@ -3412,7 +3439,7 @@

Note: You can also set transient="true" on the <field> element. -

1.10.4. Marshalling

1.10.4.1.  +

1.10.4. Marshalling

1.10.4.1.  The XML is marshalled on one line, how do I force line-breaks?

For all versions of Castor:

@@ -3428,7 +3455,7 @@ #org.exolab.castor.indent=true

Note: This will slow down the marshalling process -

1.10.4.2. What is the order of the marshalled XML elements?

+

1.10.4.2. What is the order of the marshalled XML elements?

If you are using Castor's default introspection to automatically map the objects into XML, then there is no guarantee on the order. It simply depends on the order in @@ -3437,7 +3464,7 @@

Note: If you use a mapping file Castor will generate the XML in the order in which the mapping file is specified. -

1.10.5. Source code generation

1.10.5.1. Can I use a DTD with the source generator?

+

1.10.5. Source code generation

1.10.5.1. Can I use a DTD with the source generator?

Not directly, however you can convert your DTD to an XML Schema fairly easily. We provide a tool ( @@ -3445,7 +3472,7 @@ ) to do this. You can also use any number of 3rd-party tools such as XML Spy or XML Authority. -

1.10.5.2.  +

1.10.5.2.  My XML output looks incorrect, what could be wrong?

Also: I used the source code generator, but all my xml @@ -3457,7 +3484,7 @@ Are the generated class descriptors compiled? Make sure they get compiled along with the source code for the object model. -

1.10.5.3.  +

1.10.5.3.  The generated source code has incorrect or missing imports for imported schema types

@@ -3496,7 +3523,7 @@

For those using 0.9.5.1, you'll need to upgrade due to a bug that is fixed in later releases. -

1.10.5.4.  +

1.10.5.4.  How can I make the generated source code more JDO friendly?

For Castor 0.9.4 and above:

@@ -3516,7 +3543,7 @@

Your mapping file will also need to be updated to include the proper set/get method names. -

1.10.6. Miscellaneous

1.10.6.1.  +

1.10.6. Miscellaneous

1.10.6.1.  Is there a way to automatically create an XML Schema from an XML instance?

@@ -3525,7 +3552,7 @@ org.exolab.castor.xml.schema.util.XMLInstance2Schema . It's not 100% perfect, but it does a reasonable job. -

1.10.6.2. How to enable XML validation with Castor XML

+

1.10.6.2. How to enable XML validation with Castor XML

To enable XML validation at the parser level, please add properties to your castor.properties @@ -3541,7 +3568,7 @@ apache.org properties; similar options should exist for other parsers. -

1.10.6.3.  +

1.10.6.3.  Why is mapping ignored when using a FieldHandlerFactory

When using a custom FieldHandlerFactory as in the @@ -3565,7 +3592,7 @@ Note: This method will nullify any Mapping currently being used by this Marshaller -

1.10.7. Serialization

1.10.7.1.  +

1.10.7. Serialization

1.10.7.1.  Is it true that the use of Castor XML mandates Apache Xerces as XML parser? @@ -3581,7 +3608,7 @@ In other words, with the latter use case, you do not have to download (and use) Xerces separetely. -

1.10.7.2.  +

1.10.7.2.  Do I still have to download Xerces when using Castor XML with Java 5.0?

@@ -3610,8 +3637,8 @@ # Defines the default XML parser to be used by Castor. org.exolab.castor.parser=com.sun.org.apache.xerces.internal.parsers.SAXParser

- -

Chapter 2. XML code generation

2.1. Why Castor XML code generator - Motivation

tbd

2.2. Introduction

2.2.1. News

2.2.1.1. Source generation & Java field naming conventions

+ +

Chapter 2. XML code generation

2.1. Why Castor XML code generator - Motivation

tbd

2.2. Introduction

2.2.1. News

2.2.1.1. Source generation & Java field naming conventions

Starting with release 1.3.3, the Castor source generator supports a new naming scheme for Java field names, which will be enabled by default. As such, Java field names as generated will follow more closely the standard @@ -3676,9 +3703,9 @@ below links for detailed instructions on each invocation mode.

2.2.4. XML Schema

The input file for the source code generator is an XML - schema[1]footnote>. The currently supported version is the + schema[1]footnote>. The currently supported version is the W3C XML Schema 1.0, Second Edition - [2]. + [2]. For more information about XML schema support, check Section 2.6, “XML schema support”.

2.3. Properties

2.3.1. Overview

@@ -4085,7 +4112,7 @@ <package> name = xsd:string (namespace|schemaLocation) = xsd:string> -</package>

Table 2.4. <package> - Definitions

NameDescription
nameA fully qualified java package name.
namespace +</package>

Table 2.4. <package> - Definitions

NameDescription
nameA fully qualified java package name.
namespace An XML namespace that will be mapped to the package name defined by the name element.
schemaLocation @@ -4115,7 +4142,7 @@ <elementName|complexTypeName|modelGroupName> (prefix?, suffix?) = xsd:string -</elementName|complexTypeName|modelGroupName>

Table 2.5. <namingXML> - Definitions

NameDescription
prefixThe prefix to add to the names of the generated classes.
suffixThe suffix to append to the the names of the generated classes.

+</elementName|complexTypeName|modelGroupName>

Table 2.5. <namingXML> - Definitions

NameDescription
prefixThe prefix to add to the names of the generated classes.
suffixThe suffix to append to the the names of the generated classes.

One of the aims of the binding file is to avoid naming collisions. Indeed, XML schema allows <element>s and <complexType>s to share the same name, resulting in name collisions when generating sources. @@ -4139,7 +4166,7 @@ attributeBinding*, complexTypeBinding*, groupBinding*) -</elementBinding|attributeBinding|complexTypeBinding|groupBinding>

Table 2.6. <componentBinding> - Definitions

NameDescription
name +</elementBinding|attributeBinding|complexTypeBinding|groupBinding>

Table 2.6. <componentBinding> - Definitions

NameDescription
name The name of the XML schema component for which we are defining a binding.

@@ -4155,7 +4182,7 @@ The binding file is written from an XML schema point of view; there are two distinct ways to define the XML schema component for which we are defining a binding. -

  1. (XPath-style) name

  2. Embedded definitions

2.4.1.5.1. Name

+

  1. (XPath-style) name

  2. Embedded definitions

2.4.1.5.1. Name

First we can define it through the name attribute.

The value of the name attribute uniquely identifies the XML schema @@ -4175,7 +4202,7 @@

Please note that all values for the name attribute have to start with a '/'. -

2.4.1.5.2. Embedded definitions

+

2.4.1.5.2. Embedded definitions

The second option to identify an XML schema component is to embed its binding definition inside its parent binding definition.

@@ -4198,7 +4225,7 @@ <elementBinding name="/foo> <member name="MyFoo" handler="mypackage.myHandler"/> </elementBinding> -<complexTypeBinding>

2.4.1.6. <java-class>

+<complexTypeBinding>

2.4.1.6. <java-class>

 <java-class
     name? = xsd:string
     package? = xsd:string
@@ -4261,7 +4288,7 @@
    extends SomeAbstractBaseClass
    implements SomeInterface, java.io.Serializable {
    ...
-                 

2.4.1.7. <member> element

+                 

2.4.1.7. <member> element

  <member
   name? = xsd:string
   java-type? = xsd:string
@@ -4275,7 +4302,7 @@
                    FieldHandler to help the Marshaling framework in handling that
                    member. Defining a validator is also possible. The names given for
                    the validator and the fieldHandler must be fully qualified.
-                 

Table 2.7. <member> - Definitions

NameDescription
name +

Table 2.7. <member> - Definitions

NameDescription
name The name of the class member that will be generated.
java-typeFully qualified name of the java type.
wrapper @@ -4330,7 +4357,7 @@ ... -}

2.4.1.8. <contentMember> element

+}

2.4.1.8. <contentMember> element

           <contentMember
            name? = xsd:string
            visiblity? = (public|protected|private)

@@ -4364,7 +4391,7 @@ private java.util.String customContentMember; ... -}

2.4.1.9. <enumBinding> element

+}

2.4.1.9. <enumBinding> element

 <enumBinding>
    (enumDef)
 </enumBinding>
@@ -4412,16 +4439,16 @@
                      and instructs the source generator to generate -- within a class
                      DurationUnitType -- a constant definition named
                      CUSTOM_M for the enumeration value M.
-                   

2.4.1.10. Not implemented yet

2.4.1.10.1. <javadoc>

+

2.4.1.10. Not implemented yet

2.4.1.10.1. <javadoc>

The <javadoc> element allows one to enter the necessary JavaDoc representing the generated classes or members. -

2.4.1.10.2. <interface> element
+                        

2.4.1.10.2. <interface> element
 <interface>
   name = xsd:string
 </interface>
  • name:The name of the interface to generate.

This element specifies the name of the interface to be generated for an XML schema component. -

2.4.2. Class generation conflicts

As mentioned previously, you use a binding file for two main reasons:

  • +

2.4.2. Class generation conflicts

As mentioned previously, you use a binding file for two main reasons:

  • To customize the Java code generated

  • To avoid class generation conflicts.

For the latter case, you'll (often) notice such collisions by looking at @@ -4430,7 +4457,7 @@ XML schemas. To ease your life in the context of this 'collision detection', the Castor XML code generator provides you with a few advanced features. The following sections cover these features in detail. -

2.4.2.1. Collision reporting

+

2.4.2.1. Collision reporting

During code generation, the Castor XML code generator will run into situations where a class (about to be generated, and as such about to be written to the file system) will overwrite an already existing class. This, @@ -4472,7 +4499,7 @@ Warning: A class name generation conflict has occurred between element 'complexType:ReceiptLineItemType/Sku' and element 'complexType:LineItemType/Sku'. Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y -

2.4.2.1.1. Reporting mode 'warnViaConsoleDialog'

+

2.4.2.1.1. Reporting mode 'warnViaConsoleDialog'

As already mentioned, this mode emits warning messages to stdout, and asks you whether you want to continue with the code generation or not. This allows for very fine grained control over the extent of the code generation. @@ -4482,7 +4509,7 @@ various settings for this reporting mode. Genuinely, we believe that for automated code generation through either Ant or Maven, the new informViaLog is better suited for these needs. -

2.4.2.2. Automatic collision resolution

+

2.4.2.2. Automatic collision resolution

As of Castor 1.1.1, support has been added to the Castor XML code generator for a (nearly) automatic conflict resolution. To enable this new mode, please override the following property in your custom property file @@ -4495,7 +4522,7 @@ As a result of enabling automatic conflict resolution, Castor will try to resolve such name collisions automatically, using one of the following two strategies: -

Table 2.9. <column> - Definitions

NameDescriptionSinceDefault
xpathPrepends an XPATH fragment to make the suggested Java name unique.1.1.1Yes
typeAppends type information to the suggested Java name.1.1.1No

2.4.2.2.1. Selecting the strategy

+

Table 2.9. <column> - Definitions

NameDescriptionSinceDefault
xpathPrepends an XPATH fragment to make the suggested Java name unique.1.1.1Yes
typeAppends type information to the suggested Java name.1.1.1No

2.4.2.2.1. Selecting the strategy

For selecting one of the two strategies during XML code generation, please see the documentation for the following code artifacts:

@@ -4518,7 +4545,7 @@ will overwrite the other. Please note the different types for the two c element definitions, which requires two class files to be generated in order not to lose this information. -

2.4.2.2.2. 'XPATH' strategy

+

2.4.2.2.2. 'XPATH' strategy

This strategy will prepend an XPATH fragment to the default Java name as derived during code generation, the default name (frequently) being the name of the XML schema artifact, e.g. the element name of the complex type name. The @@ -4528,7 +4555,7 @@ With automatic collision resolution enabled and the strategy 'XPATH' selected, Castor will create the following two classes, simply prepending the name of the complex type to the default element name: -

  • ATypeC.java

  • BTypeC.java

2.4.2.2.3. 'TYPE' strategy

+

  • ATypeC.java

  • BTypeC.java

2.4.2.2.3. 'TYPE' strategy

This strategy will append 'type' information to the default Java name as derived during code generation, the default name (frequently) being the name of the XML schema artifact, e.g. the element name of the complex type name. @@ -4545,7 +4572,7 @@ # Property specifying the 'string' used in type strategy to be inserted # between the actual element name and the type name (during automatic class name # conflict resolution); defaults to 'By'. -org.exolab.castor.builder.automaticConflictResolutionTypeSuffix=ByBy

2.4.2.2.4. Conflicts covered

+org.exolab.castor.builder.automaticConflictResolutionTypeSuffix=ByBy

2.4.2.2.4. Conflicts covered

The Castor XML code generator, with automatic collision resolution enabled, is capable of resolving the following collisions automatically: @@ -4825,7 +4852,7 @@ please refer to Source Generator User Document (PDF). -

2.6.1. Supported XML Schema Built-in Datatypes

+

2.6.1. Supported XML Schema Built-in Datatypes

The following is a list of the supported datatypes with the corresponding facets and the Java mapping type.

2.6.1.1. Primitive Datatypes

Table 2.15. Supported primitive data types

XML Schema TypeSupported FacetsJava mapping type
anyURIenumerationjava.lang.String
base64Binary byte[]
booleanpattern @@ -5638,9850 +5665,140 @@ The developers can now use these generated classes with Castor to (un)marshal the supply chain messages sent by their business partner. -



[1] XML Schema is a W3C - Recommendation

[2] Castor supports the +



[1] XML Schema is a W3C + Recommendation

[2] Castor supports the XML Schema 1.0 Second Edition

-

Chapter 3. Castor JDO

- - - - -

3.1. Castor JDO - An introduction

Authors

Werner Guttmann - () -

3.1.1. What is Castor JDO

- Castor JDO is an Object-Relational Mapping and Data-Binding Framework, which is - written in 100% pure Java[tm]. Castor can map relational database data into - Java Data Object based on user-defined mapping schema. In the other point-of-view, - it provides java data objects a persistence layer. -

- It frees programmer from dealing with database directly and replacing the entire - burden of composing updating the database. Proper SQL statements are automatically - generated for loading, updating, creating and deleting. Changes to objects in transaction - are automatically done to data source at commit time. Thus programmer can stay in pure-Java - without remember all the details in the backing database, after the creation of - database tables and the mapping schema. The separation of persistence and programming - logic also enable much clearer object-oriented design, which is important in larger - projects. -

3.1.2. Features

- JDO is transactional. Data objects loaded in Castor - are properly locked and isolated from other transactions. Castor supports full - 2-phase commit via xa.Synchronzation. Castor supports several locking modes, - including "shared", "exclusive", "database locked", and "read-only". -

-

  • - Shared access, the default, is useful for - situations in which it is common for two or more transactions to read the - same objects, and/or update different objects. -

  • - Exclusive access uses in-memory locks - implemented by Castor to force competing transactions to serialize access - to an object. This is useful for applications in which it is common for more - than one transaction to attempt to update the same object, and for which most, - if not all access to the database is performed through Castor. -

  • - Database-Locked access is often used for - applications in which exclusive locking is required, but in which the database - is frequently accessed from applications outside of Castor, bypassing Castor's - memory-based locking mechanism used by "exclusive access" locking. -

  • - Read-Only access performs no locking at all. - Objects read using this access mode are not locked, and those objects do not - participate in transaction commit/rollback. -

-

- In addition, Castor supports "long transactions", - whichs allow objects to be read in one transaction, modified, and then committed - in a second transaction, with built-in dirty-checking to prevent data that has been - changed since the initial transaction from being overwritten. -

- Through automatic dirty-checking - and deadlock detection, Castor can be - used to ensure data integrity and reduce unnecessary database updates. -

- A subset of OQL, defined in the Object Management Group (OMG) 3.0 - Object Query Language Specification, - is supported for interacting with the database. OQL is - similar to SQL, though operations are performed directly on Java objects instead - of database tables, making the language more appropriate for use within a - Java-based application. -

- Castor implements a data cache to reduce database - accesses, providing several alternative LRU-based caching strategies. -

- Castor supports different cardinalities of relationship, - including one-to-one, - one-to-many - and many-to-many. It also supports both object - and database record inheritance. It distinguishes - between related (i.e. association) - and dependent - (i.e. aggregation) relationships during an object's life cycle, automatically creating - and deleting dependent objects at appropriate times in the independent object's - life cycle. -

- Multiple-column primary keys, and a variety of key generators are supported. -

- Castor automatically manages persistence for objects that contain Java collection - types, including Vector, Hashtable, Collection, Set, and Map. - Lazy loading - (of collections as well as simple 1:1 relations) is implemented to reduce unnecessary - database loading. Lazy loading can be turned on or off for each individual field (of - any supported collection type for 1-to-many and many-to-many relations). -

- Other features include a type converter for all Java primitive types (see the - info on supported types). -

- No pre-processor (aka pre-compiler), class enhancer (bytecodes modification) is needed - or used for data-binding and object persistence. -

- Castor JDO works in an application that uses multiple ClassLoaders, making it possible to - use in an EJB container or servlet, for example. A Castor-defined callback interface, - "Persistent", can be implemented if the objects wants to be notified on Castor - events: jdoLoad(), jdoCreate(), jdoRemove() and jdoTransient(). This makes it possible - to create user-defined actions to take at various times in an object's life cycle. -

- The Java-XML Data-Binding Framework (Castor XML) has been merged with Castor JDO for - users who need both O/R Mapping and Java-XML Data-Binding together. -

- The following relational databases are supported: - -

  • DB2

  • Derby

  • Generic DBMS

  • Hypersonic SQL

  • Informix

  • InstantDB

  • Interbase

  • MySQL

  • Oracle

  • PostgreSQL

  • Progress

  • SAP DB / MaxDB

  • SQLServer

  • Sybase

-

- Database support includes Oracle 8.1.x and different versions of Sybase Enterprise and - Anywhere. Users can implement the Driver interface to adapt Castor to the differences in - SQL syntax supported by different relational DBMS's, as long as the DBMS supports JDBC - 2.0, multiple ResultSet, and transactions. Thanks to many individual open source - contributors, drivers for different database are available. -

-

3.2. Castor JDO - First steps

3.2.1. Introduction

- This guide assumes that you do not have any experience with CASTOR JDO, but would - like to make your first steps into the world of persistence and object/relation - mapping tools. The following sections show how to setup and configure Castor JDO so that - it is possible to perform persistence operations on the domain objects presented. -

3.2.2. Sample domain objects

- The sample domain objects used in here basically define a - Catalogue, - which is a collection of Products. -

-public class Catalogue {
-
-   private long id;
-   private List products = new ArrayList();
-   
-   public long getId() { ... }
-   public void setId(long id) { ... }
+   

Chapter 3. XML code generation - Extensions

3.1. XML code generation extensions - Motivation

+ With Castor 1.2 and earlier releases it has already been possible to + generate Java classes from an XML schema and use these classes + for XML data binding without having + to write a mapping file. +

+ This is possible because the Castor XML code generator generated - in + addition to the domain classes - a set of XML descriptor classes as well, + with one descriptor class generated per generated domain class. It's this + XML descriptor class that holds all the information required to map Java + classes and/or field members to XML artifacts, as set out in the original + XML schema definitions. This includes .... +

  • artefact names

  • XML namespace URIs

  • XML namespace prefix

  • validation code

+ Starting with Castor 1.3, a mechanism has been added to the XML code generator that allows + extension of these core offerings so that either additional content is added to the generated + domain classes additonal descriptor classes are gernated. +

3.1.1. JDO extensions for the Castor XML code generator

3.1.1.1. JDO extensions - Motivation

+ With Castor 1.2 and previous releases it was already possible to + generate Java classes from an XML schema and use these classes + for XML data binding without having + to write a mapping file. +

+ This is possible because the Castor XML code generator generated - in + addition to the domain classes - a set of XML descriptor classes as well, + with one descriptor class generated per generated domain class. It's this + XML descriptor class that holds all the information required to map Java + classes and/or field members to XML artifacts, as set out in the original + XML schema definitions. This includes .... +

  • artefact names

  • XML namespace URIs

  • XML namespace prefix

  • validation code

+ In addition, it was already possible to use the generated set of domain classes + in Castor JDO for object-/relational mapping purpose by supplying a + (manually written) JDO-specific mapping file. Whilst technically not very difficult, + this was still an error-prone task, especially in a context where tens or + hundreds of classes were generated from a set of XML schemas. +

+ The JDO extensions for the Castor XML code generator + extend the code generator in such a way that a second set of descriptor classes is + generated: the JDO descriptor classes. These new descriptor classes define + the mapping between Java (domain) objects and database tables/columns, and as + such remove the requirement of having to write a JDO-specific mapping file. +

[Note]Note

+ Please note that Castor JDO - upon startup - internally converts the information + provided in the JDO mapping file to (JDO) descriptor classes. As such, the + approach outlined above simply re-uses an existing code base and just automates the + production of those descriptor classes. +

+ The following sections introduce the general principles, define the XML schema + artifacts available to annotate an existing XML schema and highlight the + usage of these artifacts by providing examples. At the same time, + a limited set of current product limitations are spelled out. +

3.1.1.2. Limitations

+ With release 1.3 of Castor, the following limitations exist for the JDO + extensions of the XML code generator: +

  1. + The extensions currently can only be used in type + mode of the XML code generator. +

  2. + There's currently no support for key generators. + There's work in progress to add this functionality, though. +

  3. + There's currently no support for bidirectional relations, modelled through + the use of <xs:id> and <xs:idref> constructs. +

3.1.1.3. Prerequisites

+ To facilitate the detailed explanations in the following + sections, we now define a few <complexType> definitions + that we want to map against an existing database schema, and the + corresponding SQL statements to create the required tables. +

3.1.1.3.1. Sample XML schemas
+               
+<complexType name="bookType">
+   <sequence>
+      <element name="isbn" type="xs:string" />
+      <element name="pages" type="xs:integer" />
+      <element name="lector" type="lectorType" />
+      <element name="authors" type="authorType" maxOccurs="unbounded" />
+   </sequence>
+</complexType>
 
-   public String getProducts() { ... }
-   public void setProducts(List products) { ... }
-   
-}
+<complexType name="lectorType">
+   <sequence>
+      <element name="siNumber" type="xs:integer" />
+      <element name="name" type="xs:string" />
+   </sequence>
+</complexType>
 
-public class Product {
+<complexType name="authorType">
+   <sequence>
+      <element name="siNumber" type="xs:integer" />
+      <element name="name" type="xs:string" />
+   </sequence>
+</complexType>
+            
3.1.1.3.2. Sample DDL statements
+CREATE TABLE author_table (
+   sin INTEGER NOT NULL,
+   name VARCHAR(20) NOT NULL
+);
 
-   private long id;
-   
-   private String description;
+CREATE TABLE lector_table (
+   sin INTEGER NOT NULL,
+   name VARCHAR(20) NOT NULL
+);
 
-   public long getId() { ... }
-   public void setId(long id) { ... }
-   
-   public String getDescription() { ... }
-   public void setDescription(String description) { ... }
-   
-}

- In order to be able to perform any persistence operation (such as loading products, deleting - products from a catalogue, ...) on these domain objects through Castor JDO, a Castor - JDO mapping has to be provided, defining class and field level mappings for the Java classes given - and their members: -

-<class name="org.castor.sample.Catalogue">
-   <map-to table="catalogue"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="products" type="org.castor.sample.Product" collection="arraylist">
-      <sql many-key="c_id" />
-   </field>
-</class>
-
-<class name="org.castor.sample.Product">
-   <map-to table="product"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="description" type="string">
-      <sql name="desc" type="varchar" />
-   </field>
-</class>

3.2.3. Using Castor JDO for the first time

- To e.g. load a given Catalogue instance as defined - by its identity, and all its associated Product instances, - the following code could be used, based upon the Castor-specific interfaces - JDOManager and Database. -

-JDOManager.loadConfiguration("jdo-conf.xml");
-JDOManager jdoManager = JDOmanager.createInstance("sample");
-
-Database database = jdoManager.getDatabase();       
-database.begin();
-Catalogue catalogue = database.load(catalogue.class, new Long(1));
-database.commit();
-database.close();

- For brevity, exception handling has been ommitted completely. But is is quite obvious - that - when using such code fragments again and again, to e.g. implement various - methods of a DAO - there's a lot of redundant code that needed to be written again - and again - and exception handling is adding some additional complexity here as well. -

3.2.4. JDO configuration

- As shown in above code example, before you can perform any persistence operations on - your domain objects, Castor JDO has to be configured by the means of a JDO - configuration file. as part of this JDO configuration, the user defines one or more - databases and everything required to connect to this database (user credentials, JDBC - connection string, ....). -

- A valid JDO configuration file for HSQL looks as follows: -

-<?xml version="1.0" ?>
-<!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration DTD Version 1.0//EN" "http://castor.org/jdo-conf.dtd">
-<jdo-conf>
-  <database name="hsqldb" engine="hsql">
-    <driver class-name="org.hsqldb.jdbcDriver" url="jdbc:hsqldb:hsql://localhost:9002/dbname">
-      <param name="user" value="sa"/>
-      <param name="password" value=""/>
-    </driver>
-    <mapping href="mapping.xml"/>
-  </database>
-  <transaction-demarcation mode="local"/>
-</jdo-conf>
-        
-

3.3. Using Castor JDO

3.3.1. Opening A JDO Database

- Castor JDO supports two type of environments, client applications and J2EE servers. - Client applications - are responsible for configuring the database connection and managing transactions - explicitly. - J2EE applications - use JNDI to obtain a pre-configured database connection, and use - UserTransaction or container managed transactions (CMT) to - manage transactions. If you have been using JDBC in these two environments, - you will be readily familiar with the two models and the differences between - them. -

3.3.1.1. Stand-alone application

- Client applications are responsible for defining the JDO configuration, and managing - the transaction explicitly. The database is by default configured through a separate - XML file which links to the mapping file. Alternatively, it can be configured using the - utility class org.exolab.castor.jdo.util.JDOConfFactory. -

- In the example code I refer to the JDO configuration file as - jdo-conf.xml, but any name can be used. See - Castor JDO Configuration - for more information. -

- As of release 0.9.6, a new JDOManager class is provided, that replaces the former JDO - class. Any new features will be implemented against the new JDOManager class only. -

As with its predecessor, org.exolab.castor.jdo.JDOManager defines the database - name and properties and is used to open a database connection. An instance of this class - is constructed with a two-step approach: -

  1. - Statically load the JDO configuration file through one of the - loadConfiguration() methods, e.g. - org.exolab.castor.jdo.JDOManager.loadConfiguration(java.lang.String). -

  2. - Create an instance of the JDO engine using the factory method - org.exolab.castor.jdo.JDOManager.createInstance(java.lang.String) - where you supply one of the database names defined in the configuration - file loaded in step 1). -

- The org.exolab.castor.jdo.Database object represents - an open connection to the database. By definition the database object is not - thread safe and should not be used from concurrent threads. There is little - overhead involved in opening multiple Database - objects, and a JDBC connection is acquired only per open transaction. +CREATE TABLE book_table ( + isbn VARCHAR(13) NOT NULL, + pages INTEGER, + lector_id INTEGER NOT NULL, + author_id INTEGER NOT NULL +);

3.1.1.4. Configuring the XML code generator

+ To have the Castor XML code generator generate JDO class descriptors + when processing a set of XML schemas, please use one of the following + methods: +

Table 3.1. Accessing options

UsageMethodDescription
SourceGeneratorsetJdoDescriptorCreation(boolean)Supply a value of true to enable this feature.
SourceGeneratorMainFlag -gen-jdo-descSet this optional flag to enable this feature.
Ant task for XML code generatorgenerateJdoDescriptors optionSet this to a value of true.

3.1.1.5. The JDO annotations for XML schemas

+ This section enlists the XML artifacts available to annotate an existing XML schema + with JDO extension-specific information. These constructs are defined themselves + in an XML schema jdo-extensions.xsd that has a target + namespace of http://www.castor.org/binding/persistence.

- The following code fragment creates an instance of JDOManager for a database 'mybd', - opens a database, performs a transaction, and closes the database - as it will typically - appear in client applications (for brevity, we have ommitted any required exception - handling): -

 
-JDOManager jdoManager;
-Database db;
- 
-// load the JDO configuration file and construct a new JDOManager for the database 'mydb'
-JDOManager.loadConfiguration("jdo-conf.xml");
-jdoManager = JDOManager.createInstance("mydb");
-
-// Obtain a new database
-Database db = jdoManager.getDatabase();
+            To enable proper validation of your XML schemas when editing JDO
+            annotations, and to enable XML completion in your preferred XML 
+            editor, please add schemaLocation information to 
+            your XML schema definition as follows:
+        

+<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema"
+    targetNamespace="http://your/target/namespace"
+    xmlns:jdo="http://www.castor.org/binding/persistence"
+    xmlns="http://your/target/namespace"                                       (1)
+    xsi:schemaLocation="http://www.castor.org/binding/persistence http://www.castor.org/jdo-extensions.xsd">
     
-// Begin a transaction
-db.begin();
-
-// Do something
-. . .
-
-// Commit the transaction and close the database
-db.commit();
-db.close();
-        

- For an example showing how to set up a database configuration on the fly without - the need of a preconfigured XML configuration file) see - JdoConfFactory. -

3.3.1.2. J2EE Application

- J2EE applications depend on the J2EE container (Servlet, EJB, etc) to configure - the database connection and use JNDI to look it up. This model allows the application - deployer to configure the database properties from a central place, and gives the J2EE - container the ability to manage distributed transactions across multiple data sources. -

- Instead of constructing a - org.exolab.castor.jdo.JDOManager - the application uses the JNDI namespace to look it up. - We recommend enlisting the JDOManager - object under the java:comp/env/jdo namespace, - compatible with the convention for listing JDBC resources. -

- The following code fragment uses JNDI to lookup a database, and uses the JTA - UserTransaction interface to manage the transaction: -

-InitialContext  ctx;
-UserTransaction ut;
-Database        db;
-
-// Lookup databse in JNDI
-ctx = new InitialContext();
-db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Begin a transaction
-ut = (UserTransaction) ctx.lookup( "java:comp/UserTransaction" );
-ut.begin();
-// Do something
-. . .
-// Commit the transaction, close database
-ut.commit();
-db.close();
-        

- If the transaction is managed by the container, a common case with EJB beans and - in particular entity beans, there is no need to begin/commit the transaction explicitly. - Instead the application server takes care of enlisting the database in the ongoing - transaction and executes commit/rollback at the proper time. -

- The following code snippet relies on the container to manage the transaction -

-InitialContext  ctx;
-UserTransaction ut;
-Database        db;
-
-// Lookup database in JNDI
-ctx = new InitialContext();
-db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Do something
-. . .
-// Close the database
-db.close();
-        

3.3.2. Using A JDO Database to perform persistence operations

3.3.2.1. Transient And Persistent Objects

- All JDO operations occur within the context of a transaction. JDO works by loading - data from the database into an object in memory, allowing the application to modify - the object, and then storing the object's new state when the transaction commits. - All objects can be in one of two states: transient or persistent. -

- Transient: Any object whose state will not be saved - to the database when the transaction commits. Changes to transient objects will not - be reflected in the database. -

- Persistent: Any object whose state will be saved - to the database when the transaction commits. Changes to persistent objects will - be reflected in the database. -

- An object becomes persistent in one of two ways: it is the result of a query, - (and the query is not performed in read-only mode) or it is added to the database - using - org.exolab.castor.jdo.Database.create(java.lang.Object) - or - org.exolab.castor.jdo.Database.update(java.lang.Object). - All objects that are not persistent are transient. When the transaction commits - or rolls back, all persistent objects become transient. -

- In a client application, use - org.exolab.castor.jdo.Database.begin(), - org.exolab.castor.jdo.Database.commit() and - org.exolab.castor.jdo.Database.rollback() - to manage transactions. In a J2EE application, JDO relies on the container - to manage transactions either implicitly (based on the transaction attribute - of a bean) or explicitly using the - javax.transaction.UserTransaction interface. -

- If a persistent object was modified during the transaction, at commit time the - modifications are stored back to the database. If the transaction rolls back, - no modifications will be made to the database. Once the transaction completes, - the object is once again transient. To use the same object in two different - transactions, you must query it again. -

- An object is transient or persistent from the view point of the database to which - the transaction belongs. An object is generally persistent in a single database, - and calling - org.exolab.castor.jdo.Database">isPersistent(java.lang.Object) - from another database will return false. It is possible to make an object persistent - in two database, e.g. by querying it in one, and creating it in the other. -

3.3.2.2. Running an OQL Query

- OQL queries are used to lookup and query objects from the database. OQL queries are - similar to SQL queries, but use object names instead of SQL names and do not require - join clauses. For example, if the object being loaded is of type TestObject, - the OQL query will load FROM TestObject, whether the actual table name in - the database is test, test_object, or any other name. - If a join is required to load related objects, Castor will automatically perform the join. -

- The following code snippet uses an OQL query to load all the objects in a given group. - Note that product and group are related objects, the JDBC query involves a join: -

-OQLQuery     oql;
-QueryResults results;
-
-// Explicitly begin transaction
-db.begin();
-
-// Construct a new query and bind its parameters
-oql = db.getOQLQuery("SELECT p FROM Product p WHERE Group=$1");
-oql.bind(groupId);
-
-// Retrieve results and print each one
-results = oql.execute();
-while (results.hasMore()) {
-  System.out.println(results.next());
-}
-
-// Explicitly close the QueryResults
-results.close();
-
-// Explicitly close the OQLQuery
-oql.close();
-
-// Explicitly commit transaction
-db.commit();
-db.close();
-        

- The following code snippet uses the previous query to obtain products, mark down - their price by 25%, and store them back to the database (in this case using - a client application transaction): -

-OQLQuery     oql;
-QueryResults results;
-
-// Explicitly begin transaction
-db.begin();
-
-// Construct a new query and bind its parameters
-oql = db.getOQLQuery("SELECT p FROM Product p WHERE Group=$1");
-oql.bind(groupId);
-
-// Retrieve results and mark up each one by 25%
-Product prod;
-while (results.hasMore()) {
-  prod = (Product) results.next();
-  prod.markDown(0.25);
-  prod.setOnSale(true);
-}
-
-// Explicitly close the QueryResults
-results.close();
-
-// Explicitly close the OQLQuery
-oql.close();
-
-// Explicitly commit transaction
-db.commit();
-db.close();
-        

- As illustrated above, a query is executed in three steps. First a query object is - created from the database using an OQL statement. If there are any parameters, the - second step involves binding these parameters. Numbered parameters are bound using - the order specified in their names. (e.g. first $1, after that $2, and so on...) - The third step involves executing the query and obtaining a result set of type - org.exolab.castor.jdo.QueryResults. -

- A query can be created once and executed multiple times. Each time it is executed - the bound parameters are lost, and must be supplied a second time. The result of - a query can be used while the query is being executed a second time. -

- There is also a special form of query that gives a possibility to call stored - procedures: -

- -oql = db.getOQLQuery("CALL sp_something($) AS myapp.Product"); - -

- Here sp_something is a stored procedure returning one or more - ResultSets with the same sequence of fields as Castor-generated - SELECT for the OQL query "SELECT p FROM myapp.Product p" - (for objects without relations the sequence is: identity, then all - other fields in the same order as in mapping.xml). -

3.3.2.3. Creating a persistent object

- The method - org.exolab.castor.jdo.Database.create(java.lang.Object) - creates a new object in the database, or in JDO terminology makes a transient - object persistent. An object created with the create method - will remain in the database if the transaction commits; - if the transaction rolls back the object will be removed from the database. - An exception is thrown if an object with the same identity already exists in - the database. -

- The following code snippet creates a new product with a group that was previously - queried: -

-Database db = ...;
-db.begin();        
-
-//load product group
-ProductGroup furnitures = db.load(...);
-
-// Create the Product object
-Product prod;
-prod = new Product();
-prod.setSku(5678);
-prod.setName("Plastic Chair");
-prod.setPrice(55.0 );
-prod.setGroup(furnitures);
-
-// Make it persistent
-db.create(prod);
-
-db.commit();
-        

3.3.2.4. Removing a persistent object

- The method - org.exolab.castor.jdo.Database.remove(java.lang.Object) - has the reverse effect, deleting a persistent object. Once removed the object is no - longer visible to any transaction. If the transaction commits, the object will be removed - from the database, however, if the transaction rolls back the object will remain in - the database. An exception is thrown when attempting to remove an object that is not - persistent. -

- The following code snippet deletes the previously created Product instance: -

-Database db = ...;
-db.begin();        
-
-// load the Product instance with sku = 5678
-Product prod = db.load (Product.class, new Integer(5678);
-
-// delete the Product instance
-db.remove(prod);
-
-db.commit();
-        

3.3.2.5. Updating a persistent object

- There's no special method offering on the - org.exolab.castor.jdo.Database - to update an existing persistent object. Simply load the object to be updated, change - one or more of its properties, and commit the transaction. Castor JDO will automatically - figure that that the object in question has changed and will persist these changes - to the underlying database. -

- The following code snippet loads a previously created Product instance, changes its - description property and commits the transaction. -

-Database db = ...;
-db.begin();        
-
-// load the Product instance with sku = 5678
-Product prod = db.load (Product.class, new Integer(5678);
-
-// change the object properties
-prod.setDescription("New plastic chair");
-
-//commit the transaction
-db.commit();
-        

3.3.3. Using JDO And XML

- Castor JDO and Castor XML can be combined to perform transactional database operations - that use XML as the form of input and output. The following code snippet uses a combination - of persistent and transient objects to describe a financial operation. -

- This example retrieves two account objects and moves an amount from one account to the - other. The transfer is described using a transient object (i.e. no record in the database), - which is then used to generate an XML document describing the transfer. An extra step - (not shown here), uses XSLT to transform the XML document into an HTML page. -

-Transfer tran;
-Account  from;
-Account  to;
-OQLQuery oql;
-
-tran = new Transfer();
-
-// Construct a query and load the two accounts
-oql = db.getOQLQuery("SELECT a FROM Account a WHERE Id=$");
-oql.bind(fromId);
-from = oql.execute().nextElement();
-oql.bind(toId);
-to = oql.execute().nextElement();
-
-// Move money from one account to the other
-if (from.getBalance() >= amount) {
-  from.decBalance(amount);
-  to.incBalance(amount);
-  trans.setStatus(Transfer.COMPLETE);
-  trans.setAccount(from);
-  trans.setAmount(amount);
-} else {
-  // Report an overdraft
-  trans.setStatus( Transfer.OVERDRAFT );
-}
-
-// Produce an XML describing the transfer
-Marshaller.marshal(trans, outputStream);
-      

The XML produced by the above code might look like:

-<?xml version="1.0"?>
-<report>
-  <status>Completed</status>
-  <account id="1234-5678-90" balance="50"/>
-  <transfer amount="49.99"/>
-</report>
-
-

3.4. Castor JDO - Configuration

- Castor JDO allows for two simple ways of specifying its required configuration, e.g. - by the means of supplying Castor JDO with an XML-based configuration file, and by - specifying its configuration programmatically via the - org.exoalb.castor.util.jdo.JDOConfFactory class. -

3.4.1. The Castor configuration file

- The default way to configure how Castor interacts with a specific database system - is by using a configuration file. It specifies the means to obtain a connection - to the database server, the mapping between Java classes and tables in that - database server, and the service provider to use for talking to that server - (For a more flexible, programmatic way without configuration files see section - JDOConfFactory). -

- The application will access the database(s) by its given name - (database/name) and will be able to persist all objects - specified in the included mapping file(s). -

- The engine attribute specifies the persistence engine for this - database server. Different database servers vary in the SQL syntax and - capabilites they support, and this attribute names the service provider to use. -

The following names are supported in Castor:

Table 3.1. Supported engine names

engine nameRDBMS
db2DB/2
derbyDerby
genericGeneric JDBC support
hsqlHypersonic SQL
informixInformix
instantdbInstantDB
interbaseInterbase
mysqlMySQL
oracleOracle 7 - Oracle 9i
postgresqlPostgreSQL 7.1
sapdbSAP DB / MaxDB
sql-serverMicrosoft SQL Server
sybaseSybase 11
pointbaseBorland Pointbase
progressProgress RDBMS

[Note]Note

- Castor doesn't work with JDBC-ODBC bridge from Sun. - In particular, MS Access is not supported. -

- The means to acquire a database connection is specified in one of three - ways: as a JDBC driver URL, as a JDBC DataSource, or as a DataSource - to lookup through JNDI. When Castor is used inside a J2EE application server - it is recommended to use JNDI lookup (see the jndi element), - allowing the application server to manage connection pooling and distributed - transactions. -

- The class mapping is included from an external mapping file, allowing - multiple mappings to be included in the same database configuration, or two - databases to share the same mappings. For concurrency and integrity reasons, - two database configurations should never attempt to use overlapping mappings. - It is recommended to use one database configuration per database server. -

- The mapping file is specified using a URL, typically a file: URL. - If the database configuration file and mapping file reside in the same - directory, use a relative URL. Relative URLs also work if the database - configuration and mapping files are obtained from the application JAR and - reside in the same classpath. -

- The driver element specifies the JDBC driver for obtaining - new connections to the database server. The driver is obtained from the JDBC - DriverManager and must be located in the class path. The JDBC URL - locates the driver and provides the access properties. Additional properties - may be specified using param elements (e.g. buffer size, network - protocol, etc). -

- Use the class-name attribute to specify the driver class for - automatic registration with the JDBC DriverManager. If missing, - the driver must be registered in any other means, including properties file, - Class.forName(), etc. -

- For example, to configure an Oracle 8 thin driver, use: -

-  <jdo-conf>         
-     <database name="ebiz" engine="oracle">
-        <driver class-name="oracle.jdbc.driver.OracleDriver"
-                url="jdbc:oracle:thin:@host:port:SID">
-           <param name="user" value="scott" />
-           <param name="password" value="tiger" />
-        </driver>
-        ...
-     </database>
-     ...
-  </jdo-conf>

-

- The data-source element specifies the JDBC DataSource for - obtaining new connections to the database server. DataSources are defined - in the JDBC 2.0 standard extension API which is included with Castor, and - implement the interface javax.sql.DataSource. -

- The DataSource implementation class name is specified by the - class-name attribute and configured through Bean-like accessor - methods specified for the param element. - The DTD for the param element is undefined - and depends on the DataSource being used. -

- For example, to configure a PostgreSQL 7.1 DataSource, use: -

-  <jdo-conf>
-     <database name="ebiz" engine="oracle">
-        <data-source class-name="org.postgresql.PostgresqlDataSource">
-           <param name="serverName" value="host" />
-           <param name="portNumber" value="5432" />
-           <param name="databaseName" value="db" />
-           <param name="user" value="user" />
-           <param name="password=" value="secret" />
-        </data-source>
-        ...
-     </database>
-     ...
-  </jdo-conf>

-

- The jndi element specifies the JDBC DataSource for obtaining - new connections to the database server through a JNDI lookup. The JNDI environment - naming context (ENC) is used to obtain a suitable DataSource.. -

- When running inside a J2EE application server, this is the preferred method - for obtaining database connections. It enables the J2EE application server to - configure the connection, maintain a connection pool, and manage distributed - transactions. -

- For example, to specify a J2EE DataSource, use: -

-  <jdo-conf>
-     <database name="ebiz" engine="oracle">
-        <jndi name="java:comp/env/jdbc/mydb" />
-     </database>
-     ...
-  </jdo-conf>

-

3.4.1.1. Transaction demarcation

- As opposed to release pre 0.9.6, transaction demarcation is now configured - in the JDO configuration file. As such, the user has to specify which transaction - demarcation to use. Transactions when used with Castor JDO can either be - local or global, - and you instruct Castor to use a specific mode by supplying - a <transaction-demarcation> element. -

3.4.1.1.1. Local Mode

- When using Castor JDO stand-alone and you want Castor to control - transaction demarcation, please use the - <transaction-demarcation> element as follows: -

-<transaction-demarcation mode="local" />
-           
3.4.1.1.2. Global Mode

- When running inside a J2EE application server, and you want to use - global (XA) transactions, please make use the - <transaction-demarcation> element as follows: -

-<transaction-demarcation mode="global">
-   <transaction-manager name="jndi" />
-</transaction-demarcation>
-           

- In this mode, the <transaction-manager> - element specifies the transaction manager that is used by your - J2EE container to control these transactions. -

The following transaction managers are supported in Castor:

Table 3.2. Supported transaction managers

NameDescription
jndiTM looked up in the JNDI ENC
websphereIBM WebSphere 4 and previous releases
websphere5IBM WebSphere 5
websphere51IBM WebSphere 5.1
jotmJOTM
atomikosAtomikos

- In addition to specifying the transaction manager name, it is possible - to pass arbitrary name/value pairs to the transaction manager instance. -

[Note]Note

- At the moment, only the JNDI transaction manager factory supports - such an attribute. In this context, the jndiEnc attribute can be - used to specify what JNDI ENC to use to lookup the transaction - manager as shown below: -

-  <transaction-demarcation mode="global">
-     <transaction-manager name="jndi">
-        <param name="jndiEnc" value="java:comp/env/TransactionManager"/>
-     </transaction-manager>
-  </transaction-demarcation>

3.4.1.2. Sample Configuration File

- The following configuration file instructs Castor JDO to execute against - an Oracle RDBMS using the thin (type 4) JDBC driver, and refers to - three mapping files that define mappings for product, order and customer related - data. -

-  <?xml version="1.0"?>
-  <jdo-conf name="order-system">
-     <database name="ebiz" engine="oracle">
-        <driver class-name="oracle.jdbc.driver.OracleDriver"
-                url="jdbc:oracle:thin:@machine:post:SID">
-           <param name="user" value="scott"/>
-           <param name="password" value="tiger"/>
-        </driver>
-        <mapping href="products.xml"/>
-        <mapping href="orders.xml"/>
-        <mapping href="customers.xml"/>
-     </database>
-     <transaction-demarcation mode="local"/>
-  </jdo-conf>

- The following configuration file uses a connection obtained from the - J2EE application server and a single mapping file: -

-  <?xml version="1.0"?>
-  <jdo-conf>
-     <database name="ebiz" engine="oracle">
-        <jndi name="java:comp/env/jdbc/mydb"/>
-        <mapping href="ebiz.xml"/>
-     </database>
-     <transaction-demarcation mode="global">
-        <transaction-manager name="jndi">
-           <param name="jndiEnc" value="java:comp/env/TransactionManager"/>
-        </transaction-manager>
-     </transaction-demarcation>
-  </jdo-conf>

-

3.4.1.3. Prepared statement pooling

- Castor JDO uses JDBC prepared statements - to execute SQL statements against the specified RDBMS of your choice. - Per definition, Castor JDO does not - provide any prepared statement pooling. As such, Castor relies on prepared - statement pooling being provided by different means. -

- One such way is to use - Jakarta's Commons DBCP - as database connection pool, and to turn prepared statement pooling on by - configuring DBCP accordingly. -

- Please check with - Using Pooled Database Connections - for general information about hot to use DBCP with Castor. -

3.4.1.4. Sample configurations for various databases

- Besides the examples listed above, more configuraton examples can be found in the - configuration files for the Castor JDO tests, which can be found in - src/tests/jdo once you have downloaded and expanded the Castor - source package. For each database (vendor) supported, you are going to find a - database-specific JDO configuration file in this directory, e.g. - src/tests/jdo/mysql.xml for - mySQL™ or - src/tests/jdo/oracle.xml - for Oracle™. -

3.4.1.4.1. Sybase JConnect (JDBC data source)
-  ...
-  <!-- JDBC data source for Sybase using jConnect -->
-  <data-source class-name="com.sybase.jdbc2.jdbc.SybDataSource">
-    <param name="user" value="user" />
-    <param name="password value="secret" />
-    <param name="portNumber" value="4100" />
-    <param name="serverName" value="host" />
-  </data-source>
-  ...
3.4.1.4.2. PostgreSQL (JDBC data source)
-  ...
-  <!-- JDBC data source for PostgreSQL -->
-  <data-source class-name="org.postgresql.PostgresqlDataSource">
-     <param name="serverName" value="host" />
-     <param name="portNumber" value="5432" />
-     <param name="databaseName" value="db" />
-     <param name="user" value="user" />
-     <param name="password" value="secret" />
-   </data-source>
-   ...
-          
3.4.1.4.3. Oracle (JDBC Driver)
-  ...
-  <!-- JDBC driver definition for Oracle -->
-  <driver class-name="oracle.jdbc.driver.OracleDriver"
-          url="jdbc:oracle:thin:@host:post:SID">
-    <param name="user" value="scott" />
-    <param name="password" value="tiger" />
-  </driver>
-  ...
-          
3.4.1.4.4. mySQL (JDBC Driver)
-  ...
-  <!-- JDBC data source for mySQL -->
-  <driver class-name="com.mysql.jdbc.Driver"
-          url="jdbc:mysql:/localhost:2206/test">
-    <param name="user" value="scott" />
-    <param name="password" value="tiger" />
-  </driver>
-  ...
-          
3.4.1.4.5. InstantDB
-  ...
-  <!-- JDBC data source for InstantDB -->
-  <driver class-name="org.enhydra.instantdb.jdbc.idbDriver"
-          url="jdbc:idb:C:\\castor-1.0\\db\\test\\test.prp">
-    <param name="user" value="" />
-    <param name="password" value="" />
-  </driver>
-  ...
-          

3.4.2. JDOConfFactory - A programmatic way of configuring Castor JDO

- Many applications need to connect to a database using varying - user accounts or database instances. To accomplish this, the utility class - org.exolab.castor.jdo.util.JDOConfFactory">JDOConfFactory - and a - JDOManager.loadConfiguration(org.exolab.castor.jdo.conf.JdoConf) - method has been added to Castor. -

- The following code snippet shows an example how to create a JDO configuration without - the use of a default XML-based database configuration file: -

-  private static final String DRIVER = "oracle.jdbc.driver.OracleDriver";
-  private static final String CONNECT = "jdbc:oracle:thin:localhost:1521:SID";
-  private static final String USERNAME = "scott";
-  private static final String PASSWORD = "tiger";
-  private static final String MAPPING = "mapping.xml";
-  private static final String DATABASE = "mydb";
-  private static final String ENGINE = "oracle";
-  
-  // create driver configuration
-  org.castor.jdo.conf.Driver driverConf =
-      JDOConfFactory.createDriver(DRIVER, CONNECT, USERNAME, PASSWORD);
-      
-  // create mapping configuration
-  org.castor.jdo.conf.Mapping mappingConf =
-      JDOConfFactory.createMapping(getClass().getResource(MAPPING).toString());
-
-  // create database configuration
-  org.castor.jdo.conf.Database dbConf =
-      JDOConfFactory.createDatabase(DATABASE, ENGINE, driverConf, mappingConf);
-     
-  // create and load jdo configuration
-  JDOManager.loadConfiguration(JDOConfFactory.createJdoConf(dbConf));
-  
-  // Construct a new JDOManager for the database
-  jdoManager = JDOManager.createInstance(DATABASE);
-  
-  // Obtain a new database
-  Database db = jdoManager.getDatabase();
-       

- As an alternative to using a org.exolab.castor.jdo.conf.Driver, - you can also configure Castor to use a JDBC 2.0 DataSource: -

-  private static final String DS = "oracle.jdbc.pool.OracleConnectionCacheImpl";
-  private static final String CONNECT = "jdbc:oracle:thin:localhost:1521:SID";
-  private static final String USERNAME = "scott";
-  private static final String PASSWORD = "tiger";
-  private static final String MAPPING = "mapping.xml";
-  private static final String DATABASE = "mydb";
-  private static final String ENGINE = "oracle";
-  
-  // setup properties for datasource configuration
-  Properties props = new Properties();
-  props.put("URL", CONNECT);
-  props.put("user", USERNAME);
-  props.put("password", PASSWORD);
-            
-  // create datasource configuration
-  org.castor.jdo.conf.DataSource dsConf =
-      JDOConfFactory.createDataSource(DS, props);
-              
-  // create mapping configuration
-  org.castor.jdo.conf.Mapping mappingConf =
-      JDOConfFactory.createMapping(getClass().getResource(MAPPING).toString());
-        
-  // create database configuration
-  org.castor.jdo.conf.Database dbConf =
-      JDOConfFactory.createDatabase(DATABASE, ENGINE, dsConf, mappingConf);
-  
-  // create and load jdo configuration
-  JDOManager.loadConfiguration(JDOConfFactory.createJdoConf(dbConf));
-  
-  // Construct a new JDOManager for the database
-  jdoManager = JDOManager.createInstance(DATABASE);
-  
-  // Obtain a new database
-  Database db = jdoManager.getDatabase();
-       

3.4.3. References

3.4.3.1. The JDO Configuration DTD

- For validation, the configuration file should include the following - document type definition. For DTD validation use: -

-  <!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration DTD Version 1.0//EN"
-                            "http://castor.org/jdo-conf.dtd">
-
-             

- For XML Schema validation use: -

-  <!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration Schema Version 1.0//EN"
-                             "http://castor.org/jdo-conf.xsd">
-
-             

- The Castor namespace URI is http://castor.org/. -

- The Castor JDO database configuration DTD is: -

-  <!ELEMENT jdo-conf ( database+, transaction-demarcation )>
-
-  <!ATTLIST jdo-conf
-            name CDATA "jdo-conf">
-
-  <!ELEMENT database ( ( driver | data-source | jndi )?, mapping+ )>
-                       
-  <!ATTLIST database
-            name ID      #REQUIRED
-            engine CDATA "generic">
-
-  <!ELEMENT mapping EMPTY>
-  <!ATTLIST mapping
-            href CDATA #REQUIRED>
-
-  <!ELEMENT driver ( param* )>
-  <!ATTLIST driver
-            url        CDATA #REQUIRED
-            class-name CDATA #REQUIRED>
-
-  <!ELEMENT data-source ( param* )>
-  <!ATTLIST data-source
-            class-name CDATA #REQUIRED>
-
-  <!ELEMENT jndi ANY>
-  <!ATTLIST jndi
-            name CDATA #REQUIRED>
-
-  <!ELEMENT transaction-demarcation ( transaction-manager? )>
-  <!ATTLIST transaction-demarcation
-            mode CDATA #REQUIRED>
-
-  <!ELEMENT transaction-manager ( param* )>
-  <!ATTLIST transaction-manager
-            name CDATA #REQUIRED>
-            
-  <!ELEMENT param EMPTY>
-  <!ATTLIST param
-            name  CDATA #REQUIRED
-            value CDATA #REQUIRED>
-
-
-             

-

-

3.5. Type Support

3.5.1. Types

- The Castor type mechanism assures proper conversion between Java types - and external types. -

3.5.1.1. Castor XML

- Castor XML converts all Java fields into XML element and attribute - values. -

3.5.1.2. Castor JDO

- Castor JDO converts Java fields into SQL columns which are persisted - through the JDBC driver. Due to implementation details, the field - type expected by the JDBC driver is not always the field type defined - for the mapped object. -

- The most common occurrences of mistyping is when using fields of type - FLOAT, DOUBLE, NUMERIC, - and DECIMAL. SQL type FLOAT actually - maps to Java type java.lang.Double. SQL types - NUMERIC and DECIMAL map to Java - type java.math.BigDecimal. -

- When such an inconsistency occurs, Castor JDO will throw an - IllegalArgumentException during object persistence with a - message indicating the two conflicting types. -

- In order to avoid runtime exceptions, we recommend explicitly - specifying types in the mapping file using the SQL typing convention. - See SQL Type Conversion. -

3.5.1.3. Castor DAX

- Castor DAX converts all Java fields into LDAP attribute values. LDAP - attribute values are always textual and are represented as the string - value of the field, e.g. "5" or "true". -

- LDAP attributes may also contain binary values. When storing byte - arrays or serialized Java objects, DAX will store them as byte arrays. -

3.5.2. The Field Mapping

- The field element includes an optional attribute called - type which can be used to specify - the Java type of the field. This attribute is optional since Castor - can always derive the exact Java type from the class definition. -

- We highly recommend that developers use the type field in their mapping - file as a means to provide static type checking. When loading a mapping - file, Castor will compare the actual Java type with the type specified - in the mapping and will complain about inconsistencies. -

- The field type can be specified either given the full class name - (e.g. java.lang.Integer) or using a short name. - The following table lists all the acceptable short names and the Java - types they represent: -

Table 3.3. Acceptable short names

short namePrimitive type?Java Class
big-decimalNjava.math.BigDecimal
booleanYjava.lang.Boolean.TYPE
byteYjava.lang.Byte.TYPE
bytesNbyte[]
charYjava.lang.Character.TYPE
charsNchar[]
clobNjava.sql.Clob
dateNjava.util.Date
doubleYjava.lang.Double.TYPE
floatYjava.lang.Float.TYPE
integerYjava.lang.Integer.TYPE
localeNjava.util.Locale
longYjava.lang.Long.TYPE
otherNjava.lang.Object
shortYjava.lang.Short.TYPE
stringNjava.lang.String
stringsNString[]
streamNjava.io.InputStream

- In addition, support for the following Castor-internal field types - has been added: -

Table 3.4. Castor-internal field types

short namePrimitive type?Java Class
durationNorg.exolab.castor.types.Duration

3.5.3. SQL Dates and Default Timezones

- Castor will use the JDBC - ResultSet.getDate(int, Calendar) - and related methods which take a Calendar object to specify the timezone of - the data retrieved from the database when the timezone information is not - already specified in the data; this ensures that the "current" - timezone is applied. -

- The default time zone can be configured in the castor.properties file; - see the configuration section for details - on how to configure Castor with information about your default time zone. -

- To change the timezone to a different timezone than the default, please - set a (different) value on the - org.exolab.castor.jdo.defaultTimeZone property: -

-# Default time zone to apply to dates/times fetched from database fields,
-# if not already part of the data.  Specify same format as in
-# java.util.TimeZone.getTimeZone, or an empty string to use the computer's
-# local time zone.
-org.exolab.castor.jdo.defaultTimeZone=
-#org.exolab.castor.jdo.defaultTimeZone=GMT+8:00
-      

3.5.4. SQL Type Conversion

- Castor JDO uses the JDBC getObject/setObject methods - in order to retrieve and set fields. These methods do not perform - automatic type conversion, often resulting in unexpected behavior. - For example, when using a NUMERIC field with direct JDBC access, - application developers tend to call getInteger() - or getFloat(), but the Java object returned from - a call to getObject is often a - java.math.BigDecimal. -

- Castor JDO implements automatic type conversion between Java and SQL. - For this mechanism to work, the mapping file must specify the SQL type - being used for Castor to employ the proper convertor. If no SQL type - is specified, no conversion will occur, possibly resulting in an - IllegalArgumentException being thrown. -

- SQL types are specified with the - sql-type attribute using either - the default Java type returned by the JDBC driver - (e.g. java.lang.Integer or the proper SQL type name - (without precision). The following table lists the supported SQL type - names and the corresponding Java types: -

Table 3.5. Supported SQL type names

SQL TypeJava Type
bigintjava.lang.Long
binarybyte[]
bitjava.lang.Boolean
blobjava.io.InputStream
charjava.lang.String
clobjava.sql.Clob
decimaljava.math.BigDecimal
doublejava.lang.Double
floatjava.lang.Double
integerjava.lang.Integer
longvarbinarybyte[]
longvarcharjava.lang.String
numericjava.math.BigDecimal
realjava.lang.Float
smallintjava.lang.Short
timejava.sql.Time
timestampjava.sql.Timestamp
tinyintjava.lang.Byte
varbinarybyte[]
varcharjava.lang.String
otherjava.lang.Object
javaobjectjava.lang.Object

- The following example illustrates how to specify SQL type in field mapping: -

-  <field name="prodId" type="integer">
-    <sql name="prod_id" type="numeric"/>
-  </field>

- Please note that java.util.Date is not automatically converted into a - java.sql.Date object; while it is in theory possible to do so, there - are three different possible storage formats for date information: - as a java.sql.Date, java.sql.Time, and java.sql.Timestamp. Rather than - impose a possibly inappropriate data mapping on an entry, no automatic - transformation will take place. -

- JDBC drivers which do not, themselves, perform a mapping between - java.util.Date and the sql format specified on the database will throw - an error when java.util.Date is passed to them on the prepared - statement. Moreover, auto-conversion of java.util.Date is outside of - the JDBC specification; it is not a supported auto-convert format. -

- Users wishing to store date information into the database should ensure - that they set date, time, or timestamp as the sql type on the - sql-type attribute. -

3.5.5. Parameterized Type Convertors

- Some of the type convertors may have a string parameter, which changes - the conversion algorithm. The parameter is specified in square - brackets after the SQL type, for example: -

-  <field name="active" type="boolean">
-    <sql name="acc_active" type="char[01]"/>
-  </field>

- where "0" is the character value for - false and "1" is - the character value for true. -

- In the above example the first of a bunch of parameterized type convertors - is used, "boolean --> char" convertor. The parameter must have length 2, - the first character is the value for false, - the second character is the value for true. - The default value is "FT". The actual SQL type should be char(1). -

- The second and third convertors are "boolean --> integer" and - "boolean --> numeric". Its parameter must be - + for +1 or - - for -1 representing true. - False is always converted to 0. For example: -

-  <field name="flagWithMinusOneForTrue" type="boolean">
-    <sql name="flag" type="integer[-]"/>
-  </field>

If the parameter is not specified, true is converted to +1.

- The fourth convertor is "date --> char". Its parameter must be a correct - pattern for SimpleDateFormat. For example: -

-  <field name="dateOfBirth" type="date">
-    <sql name="pers_dob" type="char[MMM d, yyyy]"/>
-  </field>

- If the parameter is not specified, the conversion is performed - using toString() method of the Date class. -

- The fifth and the sixth convertors are "date --> integer" and - "date --> numeric". Their parameters are also patterns having syntax - based on the SimpleDateFormat syntax, but repeated characters are - eliminated. The following table shows the substitution rules that are - used to obtain the SimpleDateFormat pattern from the parameter. -

Table 3.6. Substitution rules

Y,yyyyyyear
MMMmonth in year
D,dddday in month
h,HHHhour in day (0~23)
mmmminute in hour
ssssecond in minute
SSSSmillisecond

- For example, "YMD" parameter is expanded to "yyyyMMdd" SimpleDateFormat - pattern, "YMDhmsS" parameter is expanded to "yyyyMMddHHmmssSSS" - SimpleDateFormat pattern. The length of the expanded parameter gives - the minimal number of decimal digits that the actual SQL type must - support. The default value of the parameter is "YMD". -

- The date and time types of - org.exolab.castor.types package - support 2 timelines as defined by XML schema specification. One for timezoned - values and one for non-timezoned values which are treated to be local. - When converting such types to long the timezone information is lost. - In most cases it is no problem to loose for which timezone the value was - specified if the value get converted to UTC time before. But we also loose - if the value had a timezone or not. This causes that we do not know to which - timeline the value belongs. If we just treat it as non-timezoned value while - it has been a timezoned one we have changed the value. -

- Therefore we have added support for another parameterized type converter. This one - allows you to specify if the date and time values created out of a persisted long - value are meant to be timezoned or not. By default, without a parameter, local - date or time instances are created without a timezone. If you specify the parameter - utc in mapping the date or time values are created based on UTC timezone. - It need to be noted that such a mapping can only handle date and time values of one - of the 2 timelines defined by XML schema specification. Having said that this only - applies to the conversion of such values to long and does not cause issues when - converting to string and back. -

-  <field name="timeOfBirth" type="org.exolab.castor.types.Time">
-    <sql name="pers_tob" type="bigint[utc]"/>
-  </field>

3.5.6. BLOB and CLOB Types

- BLOB and CLOB stand for binary and character large objects (or in - Sybase, IMAGE and TEXT types, respectively). This means that most - likely you don't want to load the whole objects into memory, but - instead want to read and write them as streams. Usually these types are - not comparable via the WHERE clause of a SQL statement. - That is why you should disable dirty checking for such fields, e.g. -

-  <field name="text" type="string">
-    <sql name="text" type="clob" dirty="ignore" />
-  </field>

- In this example CLOB field will be read as a String. This may cause - OutOfMemoryError if the text is really large, but in many cases mapping - CLOB to String is acceptable. The advantage of mapping to String is - that we obtain a Serializable value that can be passed via RMI. - Similarly you can map BLOB and CLOB to byte[] and - char[] types, respectively: -

-  <field name="photo" type="bytes">
-    <sql name="photo" type="blob" dirty="ignore" />
-  </field>
-  <field name="resume" type="chars">
-    <sql name="resume" type="clob" dirty="ignore" />
-  </field>

- Now, assume that mapping to String is not acceptable. The natural Java - type mapping for the BLOB type is java.io.InputStream, - and this mapping is supported by Castor: -

-  <field name="cdImage" type="stream">
-    <sql name="cd_image" type="blob" dirty="ignore" />
-  </field>

- The natural Java type mapping for the CLOB type is - java.io.Reader, but this mapping is - not supported by Castor because - java.io.Reader doesn't provide information - about the length of the stream and this information is necessary - for JDBC driver (at least for the Oracle driver) to write the value to - the database. This is why the CLOB type is mapped to - java.sql.Clob: -

-  <field name="novel" type="clob">
-    <sql name="novel" type="clob" dirty="ignore" />
-  </field>

- When you read data from the database, you can use the - getCharacterStream() method to obtain a - java.io.Reader from java.sql.Clob. - When you write data to the database, you can either use the helper class - org.exolab.castor.jdo.engine.ClobImpl to construct - java.sql.Clob from java.io.Reader - and the length: -

-  object.setClob(new ClobImpl(new FileReader(file), file.length());

- or implement the java.sql.Clob interface yourself. -

- But be aware of the followng restriction: if you map BLOB to - java.io.InputStream or CLOB to - java.sql.Clob, then you should turn caching - off for the Java class containing those values, e.g.: -

-  <class ...>
-    <cache-type type="none"/>
-      ...
-      <field name="novel" type="clob">
-        <sql name="novel" type="clob" dirty="ignore" />
-      </field>
-  </class>

- Blob and Clob values cannot be cached, because they are alive only while - the ResultSet that produced them is open. In particular, this means - that you cannot use dirty checking for long transactions with such - classes. -

-

3.6. Castor JDO Mapping

Authors

Bruce Snyder - () - , Werner Guttmann - () -

3.6.1. News

- Release 1.0 M3: -

  • Added collection type 'iterator'.

  • Added collection type 'enumerate'.

  • Added additional syntax for specifying the identity of a class.

-

3.6.2. Introduction

- The Castor mapping file also provides a mechanism for binding a Java - object model to a relational database model. This is usually referred to - as object-to-relational mapping (O/R mapping). O/R mapping bridges the gap - between an object model and a relational model. -

- The mapping file provides a description of the Java object model to - Castor JDO. Via Castor XML, Castor JDO uses the information in the mapping - file to map Java objects to relational database tables. The - following is a high-level example of a mapping file: -

-  <mapping>
-      <class ... >
-          <map-to ... />
-          <field ... >
-              <sql ... />
-          </field>
-          ...
-      </class>
-  </mapping>

- Each Java object is represented by a <class> element composed of attributes, - a <map-to> element and <field> elements. The <map-to> element - contains a reference to the relational table to which the Java object maps. - Each <field> element represents either a public class variable or the - variable's accessor/mutator methods (depending upon the mapping info). Each - <field> element is composed of attributes and one <sql> element. - The <sql> element represents the field in the relational table to which - the <field> element maps. -

- It is possible to use the mapping file and Castor's default behavior in - conjunction. When Castor handles an object but is unable to locate - information about it in the mapping file, it will rely upon its default - behavior. Castor makes use of the Java programming language - - Reflection API to introspect the Java objects to determine the methods - to use. This is the reason some attributes are not required in the mapping - file. -

3.6.3. The Mapping File

3.6.3.1. The <mapping> element

-  <!ELEMENT mapping ( description?, include*, class*, key-generator* )>

- The <mapping> element is the root element of a mapping file. It contains: -

  • an optional description

  • zero or more <include> which facilitates reusing mapping files

  • - zero or more <class> descriptions: one for each class we intend to give - mapping information -

  • zero or more <key-generator>: not used for XML mapping

A mapping file look like this:

-  <?xml version="1.0"?>
-  <!DOCTYPE mapping PUBLIC "-//EXOLAB/Castor Object Mapping DTD Version 1.0//EN"
-                           "http://castor.org/mapping.dtd">
-
-  <mapping>
-     <description>Description of the mapping</description>
-     <include href="other_mapping_file.xml"/>
-
-     <class name="A">
-         ...
-     </class>
-
-     <class name="B">
-        ...
-     </class>
-  </mapping>

3.6.3.2. The <class> element

-  <!ELEMENT class ( description?, cache-type?, map-to?, field+ )>
-  <!ATTLIST class
-            name            ID       #REQUIRED
-            extends         IDREF    #IMPLIED
-            depends         IDREF    #IMPLIED
-            auto-complete   ( true |false ) "false"
-            identity        CDATA    #IMPLIED
-            access          ( read-only | shared | exclusive | db-locked )  "shared"
-            key-generator   IDREF    #IMPLIED >

- The <class> element contains all the information used to map a Java object - to a relational database. The content of <class> is mainly used to describe - the fields that will be mapped. -

Description of the attributes:

  • - name: The fully qualified package name of the - Java object to map to. -

  • - extends: Should be used - only if this Java object extends another Java - object for which mapping information is provided. It should - not be used if the extended - Java object is not referenced in the mapping file. -

  • - depends: For more information on this field, - please see - - Dependent and related relationships. -

  • - identity: For more information on this field, - please see - Design -> Persistence. -

  • - access: For more information on this field, - please see Locking Modes. -

  • - key-generator: For more information on - this field, please see KeyGen. -

Description of the elements:

  • - <description>: - An optional description. -

  • - <cache-type>: - For more information on this field please see - Bounded - Dirty Checking and - Caching. -

  • - <map-to>: - Used to tell Castor the name of the relational - table to which to map. -

  • - <field>: Zero or more - <field> elements are used to describe properties - of each Java object. -

3.6.3.3. The <map-to> element

-  <!ELEMENT map-to EMPTY>
-  <!ATTLIST map-to
-            table      NMTOKEN  #IMPLIED
-            xml        NMTOKEN  #IMPLIED
-            ns-uri     NMTOKEN  #IMPLIED
-            ns-prefix  NMTOKEN  #IMPLIED
-            ldap-dn    NMTOKEN  #IMPLIED
-            ldap-oc    NMTOKEN  #IMPLIED>

<map-to> is used to specify the name of the item that should be associated - with the given Java object. The <map-to> element is only used for the root - Java object.

Description of the attributes:

  • - table: - The name of the relational database table to which the - Java object is associated. -

3.6.3.4. The <field> element

-  <!ELEMENT field ( description?, sql?, xml?, ldap? )>
-  <!ATTLIST field
-            name           NMTOKEN  #REQUIRED
-            type           NMTOKEN  #IMPLIED
-            required       ( true | false )  "false"
-            direct         ( true | false )  "false"
-            lazy           ( true | false )  "false"
-            transient      ( true | false )  "false"
-            identity       ( true | false )  "false"
-            get-method     NMTOKEN  #IMPLIED
-            set-method     NMTOKEN  #IMPLIED
-            create-method  NMTOKEN  #IMPLIED
-            collection     ( array | enumerate | collection | set | 
-                             arraylist | vector | map | hashtable | sortedset | iterator )  #IMPLIED
-            comparator     NMTOKEN  #IMPLIED>

- The <field> element is used to describe a property of a Java object. It provides: -

  • the identity ('name') of the property

  • the type of the property (inferred from 'type' and 'collection')

  • - the access method of the property - (inferred from 'direct', 'get-method', 'set-method') -

- From this information, Castor is able to access a given property in the Java - object. -

- In order to determine the signature that Castor expects, there are two easy - rules to apply. -

1. Determine <type>.

  • - If there is no 'collection' attribute, - the object type is the value of the 'type' attribute. - The value of the type attribute can be a fully qualified Java object - like 'java.lang.String' or one of the allowed aliases: -

    - -
    - - - - -
    short namePrimitive type?Java Class
    big-decimal Njava.math.BigDecimal
    big-integer Yjava.math.BigInteger
    boolean Yjava.lang.Boolean.TYPE
    byte Yjava.lang.Byte.TYPE
    bytes Nbyte[]
    char Yjava.lang.Character.TYPE
    chars Nchar[]
    clob Njava.sql.Clob
    date Njava.util.Date
    double Yjava.lang.Double.TYPE
    float Yjava.lang.Float.TYPE
    int Yjava.lang.Integer.TYPE
    integer Yjava.lang.Integer
    locale Njava.util.Locale
    long Yjava.lang.Long.TYPE
    other Njava.lang.Object
    serializableYjava.io.Serializable
    short Yjava.lang.Short.TYPE
    sqldate Yjava.sql.Date
    sqltime Yjava.sql.Date
    string Njava.lang.String
    strings NString[]
    stream Njava.io.InputStream
    timestamp Njava.sql.Timestamp
    -

    - Castor will try to cast the data in the mapping file to the proper Java - type. -

  • - If there is a collection attribute, - the items in the following table can be - used: -

    - -
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    nametypedefault implementationadded in release
    array<type_attribute>[]<type_attribute>[]
    enumeratejava.util.Enumeration-1.0 M3
    collectionjava.util.Collectionjava.util.ArrayList
    setjava.util.Setjava.util.HashSet
    arraylistjava.util.ArrayListjava.util.ArrayList
    vectorjava.util.Vectorjava.util.Vector
    mapjava.util.Mapjava.util.HashMap
    hashtablejava.util.Hashtablejava.util.Hashtable
    sortedsetjava.util.SortedSetjava.util.TreeSet1.0 M2
    iteratorjava.util.Iterator n/a 1.0 M3
    -

    - The type of the object inside the collection is the 'type' attribute. The 'default - implementation' is the type used if the object holding the collection is found - to be null and needs to be instantiated. -

    - For hashtable and map, Castor will add an object using the put(object, object) - method - the object is both the key and the value. This will be improved in the future. -

- It is necessary to use a collection when the content model of the element expects more - than one element of the specified type. This is how the 'to-many' portion of a relationship - is described. -

[Note]Note

- It is not possible to use a collection of type 'iterator' or 'enumerate' - with lazy loading enabled. -

- 2. Determine the signature of the method -

  • - If 'direct' is set to true, - Castor expects to find a public Java object variable with the - given signature: -

      public <type> <name>;
  • - If 'direct' is set to false or omitted, - Castor will access the property though accessor methods. - Castor determines the signature of the accessors and mutators as follows: - If the 'get-method' or 'set-method' attributes are supplied, it will - try to find a function with the following signature: -

      public <type> <get-method>();

    or

      public void <set-method>(<type> value);

    - If 'get-method' or 'set-method' attributes are not provided, Castor will try to - find the following functions: -

      public <type> is<capitalized-name>();

    or

      public <type> get<capitalized-name>();

    - the former for boolean types, the latter for all other types (or if the - 'is<capitalized-name>()' method is not defined for a boolean type), and - a standard set method of -

      public void set<capitalized-name>(<type> value);

    - If there are more than one set<capitalized-name> method it first tries to find the one - that exactly matches <type>. If no such method is available and <type> is a java - primitive type it tries to find a method with the corresponing java object type. -

    - <capitalized-name> means that Castor uses the <name> attribute by changing its first - letter to uppercase without modifying the other letters. -

    - The content of the <field> element will contain the information about how to map - this field to the relational table. -

Description of the attributes:

  • - name: If 'direct' access is used, - 'name' should be the name of a public variable in the object we are - mapping (the field must be public, not static and not transient). - If no direct access and no 'get-/set-method' is specified, - this name will be used to infer the name of the accessor and - mutator methods. -

  • - type: The Java type of the field. - This is used to access the field. Castor will use this information - to cast the data type(e.g. string into integer). It is also used - to define the signature of the accessor and mutator methods. - If a collection is specified, this is used to specify the type of - the object inside the collection. See description above for more - details. -

  • - required: If true, the field is not optional. -

  • - transient: If true, the field will - be ignored during persistence (and XML un-/marshalling). - If you want this field to be ignored during any persistence-related - operations only, please use the 'transient' attribute at the <sql> - level. -

  • - identity: If true, the field is part of - the class identity. Please use this as an alternative way of specifying - the identity of an object. -

  • - direct: If true, Castor expects a public - variable in the object and will modify it directly. -

  • - collection: If a parent object expects - more than one occurrence of one of its fields, it is necessary to specify - which collection type Castor will use to handle them. The type specified - is used to define the type of the content inside the collection. -

  • - comparator: If the collection type equals - 'sortedset', it is possible to specify a - java.util.Comparator instance that will be used with - the java.util.SortedSet (implementation) to specify - a custom sort order. Please use this attribute to specify the class name - of the Comparator instance to be used. Alternatively, it is possible to not - specify a Comparator instance and have the Java objects stored in the - SortedSet implement java.util.Comparable - to specify the sort order. -

  • - get-method: An optional name of the - accessor method Castor should use. If this attribute is not set, - Castor will try to guess the name with the algorithm described above. -

  • - set-method: An optional name of the - mutator method Castor should use. If this attribute is not set, - Castor will try to guess the name with the algorithm described above. -

  • - create-method: Factory method - for instantiation of the object. -

3.6.3.5. The <sql> element

-  <!ELEMENT sql EMPTY>
-  <!ATTLIST sql
-            name        NMTOKENS  #IMPLIED
-            type        NMTOKENS  #IMPLIED
-            many-key    NMTOKENS  #IMPLIED
-            many-table  NMTOKEN   #IMPLIED
-            transient   ( true | false )    "false"
-            read-only   ( true | false )    "false"
-            dirty       ( check | ignore )  "check">
-            cascading	( create | delete | update | all | none ) "none"

- The <sql> element is used to denote information about the database - column to which a Java object is mapped. It should be declared for all - <field> elements. Each <field> element contains one <sql> - element. The <sql> element correlates directly to the <map-to> - element for the containing <class> element. The <sql> elements - contains the following attributes: -

  • - name: The name of the column in the - database table. -

  • - type: The JDBC type of the column. - It is inferred from the object when the type of this field is a - persistent Java class that is defined elsewhere in the mapping. - The complete list of automatic type conversions, and which values - require manual mapping (e.g, java.util.Date) is listed in the - SQL Type Conversion - section of the Type Support document. -

  • - read-only: If true, the column in - the relational database table will only be read, not updated or deleted. -

  • - transient (as of 0.9.9): If true, the - field will be ignored during persistence only. If you want this field - to be ignored during XML un-/marshalling as well, please use the - 'transient' attribute at the <field> level. -

  • - dirty: If the value is 'ignore', the - field will not be checked against the database for modification. -

  • - cascading: If the field is a relation, - this attribute specifies which operations to cascade. Possible values - are: 'all', none', 'create', 'update' or 'delete'; when not specifying - 'none' or 'all', it is possibel to specify more than one value, using - whitespace as a delimiter (e.g. 'create update'). For further - information see - HOW-TO - on using cascading operation. -

- There are two more attributes used only - with 'to-many' relations. -

  • - many-key: Specifies the name - of the column that holds the foreign key to this object. - That column is in the database table that stores objects - of the Java type of this field. -

  • - many-table: Specifies the - name of the bridge table that contains the primary keys of - the object on each side of the relationship. This is - only used for many-to-many relationships. -

-

3.7. Castor JDO FAQ

3.7.1. Castor's relation to other specifications

3.7.1.1. Does Castor JDO comply with the SUN JSR-000012 specification?

- No, Castor JDO doesn't comply with the SUN's JDO specification. -

- Although Castor JDO carries very similar goals as SUN's JDO, it has - been developed independently from the JSR. -

- Although it is not impossible to shape (perhaps "hammer" is a more - descriptive verb) Castor JDO into the SUN's JDO specification, there - are several major technical differences which make it unfavorable to - do so. Castor is RDBMS centric. Each persistence object loaded by - Castor is locked. Locks in Castor are observable, meaning that locks - may not be granted because of timeout or deadlock. On the other - hand, the SUN's JDO hides details about locks. -

- Internally, Castor JDO maintains a single copy of lock (and cache) - for each active persistence object for all transaction. SUN's JDO - specification implicitly requires a copy of cache per object per - transaction. SUN's JDO also implicitly requires a bytecode modifier - which Castor doesn't require. -

- Castor also provides other features, such as key generators, long - transaction support and OQL query which cannot be found in SUN's JSR. -

3.7.1.2. Is Castor JDO better than EJB CMP?

- The relation between JDO and EJB Container-Managed - Persistence is more complicated than simply saying, "one - is better than the other". -

- An Entity Bean may manage persistence itself - the EJB - specification calls this Bean Managed Persistence - (BMP). Alternatively, the Entity Bean may rely on an EJB - container to manage all peersistence automatically - the - EJB specification calls this Container Managed Persistence - (CMP). When implementing BMP, an Entity Bean may use - Castor JDO as its persistence mechanism, or it may use - others methods, such as dealing with JDBC directly. - During CMP, an EJB Container vendor may implement their - CMP on top of Castor JDO. In such an implementation, - Castor JDO will be used to persist the Entity Bean. -

- If a developer would like to take advantage of an EJB's - life-cycle management, security, the "write once deploy - anywhere" promise and other distributed business - application facilities, then EJB will be the right - choice. Otherwise, the fact that Castor is simple, is Open - Source (you can always include Castor in your application - or product), has much less overhead, provides more design - freedom, and is integrated with Castor XML may be enough - of a reason to choose Castor JDO. -

3.7.2. XML related questions

3.7.2.1. Is it possible to make XML marshalling transactionally using Castor?

- No. The decision of putting XML and JDO together is NOT intended to - make XML marshalling transactional. Instead, the integration is done - to help developers of a typical client-server situation whereby an - application server receives incoming XML messages, process the - messages and replies to the client. -

- With Castor, incoming XML messages can be unmarshaled into data - objects. Required information can be obtained from a database using - JDO in form of data objects. With this approach, all data - manipulation can be done in an object-oriented way. Changes to JDO - data objects can be committed transactionally, and result data - objects can be marshaled into XML and returned to the client. -

3.7.2.2. Is it possible to do queries on a XML file using Castor?

- No, Castor does not provide an OQL query facility on a XML file. If - querying is important for you, you should consider using a DBMS to store - your data instead of using XML files, especially if querying performance - is a concern. -

- Another alternative is parse an XML Document directly and use XPath to - retrieve Nodes and/or NodeSets from an XML Document. Other open source - tools which provide this functionality are: -

-

3.7.3. Technical questions

3.7.3.1. Where can I find some examples to start with?

- Download the full SVN snapshot and look into the src/tests/jdo - directory. -

3.7.3.2. I have encountered problems using Sun JDBC-ODBC bridge with Castor...

- It cannot be used with Castor, because it doesn't allow more than one - open ResultSet at the same time. - Either use JDBC driver of type > 1, or use some other JDBC-ODBC - bridge without such a restriction - (for example, from Easysoft). -

3.7.3.3.  - My get-method for the Collection of dependent objects returns null. - Why? -

You should initialize the Collection yourself: -

-private Collection _children = new ArrayList();
-
-public Collection getChildren() {
-    return _children;
-}
-            

-

3.7.3.4. Should my JDO classes implement some special interface?

- In general, no. If you need some behavior that is not directly - supported by Castor, you can implement interface - org.exolab.castor.jdo.Persistent. - In order to use dirty checking for long transaction you should - implement interface - org.exolab.castor.jdo.TimeStampable. - If you need an example of use of these interfaces, see Persistent.java - and TestPersistent.java among Castor JDO tests. -

3.7.3.5. Can Castor automatically create/remove related objects?

- First of all, let's agree upon terminology. We distinguish dependent - and independent objects: - -

  • - dependent objects are bounded - to the parent object's lifecycle -

  • - independent objects have - independent lifecycle -

- - Thus, dependent objects are created/removed automatically, when - their parent object is created/removed, while all operations on - independent objects should be performed explicitly. -

- However, with Castor 0.8.x you cannot describe explicitly the kind - of object. Instead, the following rule applies: if you have - one-to-many relation, and each side of the relation refers to - another (Collection attribute on "one" side, simple attribute on - "many" side), then "many" side is a dependent object. All other - objects are independent. In particular, related objects via - one-to-one relation are not created/removed automatically. -

- With Castor 0.9 dependent objects should be described via "depends" - attribute of "class" element in mapping configuration file. -

- If you wish some independent object was created and/or removed - automatically on operations on other independent object, you may - use interface Persistent to code the desired - behavior. -

3.7.3.6.  - Is Castor JDO using any connection pooling mechanism to improve - the overall performance? -

- No, Castor JDO doesn't have any built-in JDBC resource pooling. - However the framework can transparently use any resource pooling - facilities provided through DataSource implementation or - -even better- through JDNI. In fact we even recommend people to use - some Connection and PreparedStatement pool with Castor as this can - increase Castor's performance 3-5 fold. -

- For example the following set of statements: -

-db.begin();
-db.execute(...)
-db.commit()
-	            

- will be executed in much less time with the resource pooling because it - will avoid creating a new physical JDBC connection at every execution. -

- With Oracle, instead of specifying the usual JDBC driver you can use a - DataSource that specifically provides some Connection caching/pooling. -

- Thus if your jdo config file looks like : -

-        <database name="..." engine="oracle" >
-            <driver class-name="oracle.jdbc.driver.OracleDriver"
-                    URL="jdbc:oracle:thin:@localhost:1521:TEST" >
-                <param name="user" value="SYSTEM"/>
-                <param name="password" value="manager"/>
-            </driver>
-            ...
-        </database>
-		        

- then it can be changed into (for example): -

-        <database name="..." engine="oracle" >
-            <data-source class-name="oracle.jdbc.pool.OracleConnectionCacheImpl">
-                <params URL="jdbc:oracle:thin:@localhost:1521:TEST"
-                        user="scott" 
-                        password="tiger"
-                />
-            </data-source>
-            ...
-        </database>
-		        

-

- When Castor is used inside a Container such as an EJB container - (within BMP or Session Bean), then the Container usually provides - the JDBC resource through the JNDI ENC, which implicitely includes - pooling facilities. -

3.7.3.7.  - I am getting ClassNotFoundException for my JDO class, - but it is in the class path. Why? -

- Probably castor.jar file is in jre/lib/ext directory. In this case - you should call: -

-      jdo.setClassLoader(getClass().getClassLoader());
-	            

- before jdo.getDatabase(). -

3.7.3.8.  - I am getting exception - 'the class ... is not persistence capable...'. Why? -

- In this case as well as in many others you can get more information - with the help of logging. Call: -

-  jdo.setLogWriter(Logger.getSystemLogger());
-	        

and seek in the output for warnings and errors.

3.7.3.9.  - I call db.remove() on the dependent object and commit, - but this doesn't work... -

- You should not add/remove dependent objects directly. In order to - add/remove the dependent object you should just add/remove it from the - collection in the master object and call db.commit() -

- Dependent objects cannot be created/removed explicitly. It's created - automatically when it is added to a master object, and removed - automatically when it de-linked/dereferenced from a master object. -

- Otherwise, we will be encounter into problem where a dependent object - created explicitly but removed implicitly (delinked from a master object), - or vice versa. It can also lead to other problems that are harder to - detect. -

3.7.3.10.  - How should I represent string/date/boolean literals in OQL query? -

- It is recommended to replace literals with parameters and to set them - via OQLQuery.bind(), for example: -

-OQLQuery query = db.getOQLQuery(
-        "SELECT p FROM Person p "
-      + "WHERE name LIKE $1 AND dob>$2 AND married=$3");
-query.bind("John %");
-query.bind((new SimpleDateFormat("yyyy-MM-dd"))
-       .parse("1960-01-01"));
-query.bind(false);
-         

3.7.3.11.  - I get 'java.lang.AbstractMethodError: getBigDecimal' - for numeric fields. Why? -

- Your JDBC driver is not JDBC 2.0 compliant, upgrade it or find another one. -

3.7.3.12. Does Castor support both one-way and two-way relationships?

- Typcially a relationship between two objects is either one-way - (aka uni-directional) or two-way (aka bi-directional). - Officially, Castor currently only supports bi-directional relationships. - For example, if an Order object contains a - reference to a LineItem object, the - LineItem object must contain a reference to the - Order object. However, this requirement is not enforced in all - situations. -

- This is a very complex problem to solve. So until Castor is expanded - the support uni-directional relationships, the best policy is to - implement the bi-directionalality for all relationships. This will - ensure proper functionality. -

3.7.3.13.  - I have an object that holds a relation to itself. - Does Castor support this? -

- This is a very common occurrence in an object model and is known as - a self-referenential relationship. Unfortunately, Castor does not - currently support self-referential relationships. An example of such - a relationship occurs when a Folder object contains - a reference to another Folder object. - Castor does not currently support this. However, there are ways - around this limitation. -

- One way is to manage this type of relationship manually. For example, - let's say that a parent object FolderA needs to hold - references to child objects FolderB, - FolderC and FolderD. - The Folder object contains not only a property - to hold its own id, but also a property to hold its parent id - (we'll call this parentId). - The parentId property is used to determine - if there is a relationship to another Folder object. - If parentId is null, there is no relationship. - If parentId is populated, there is a relationship - and the object tree can be walked by comparing the object id to the - parentId. When the two properties are equal, - you're at the top of the tree. -

- Another say to solve this problem is to make use of an intermediary - object. For example, a Folder object contains a - Reference object in lieu of the actual - Folder object. The Reference - object is somewhat of a proxy object whereby it only contains enough - information to identify the object to which the - Reference object refers. Then the - Folder object can be easily instantiated via the - information contained in the Reference object. -

3.7.3.14.  - Why do I get an ObjectModifiedException when trying to commit - a transaction? -

- The dirty checking engine will throw an - ObjectModifiedException when the values in the - cache and in the database are different. This can happen when - someone else changed the database content, but also when type - mapping is not reversible. -

- For example, if a java timestamp (java.util.Date) - is stored as a DATE, the time part is lost and the dirty checking - will fail. Oracle cannot tell the difference between an empty String - and a null value: if an attribute value is an empty String, dirty - checking will also fail. Some precision loss sometimes occur with - floating point numbers. -

- To avoid this, always use reversible mapping conversions. If this - is not possible, mark the fields with dirty="ignore" - in the mapping file. -

3.7.3.15. I'm receiving a java.sql.SQLException: ORA-01461

- When using Weblogic Portal 4.0 with Oracle I am receiving the following - error: -

-java.sql.SQLException: ORA-01461: can bind a LONG value only for insert into a LONG column
-	            

- According to Weblogic Release Notes, this error can remedied by setting - a Weblogic environment variable. -

3.7.4. Castor and performance caches

3.7.4.1.  - Sometimes long transaction fails: on update() it is thrown - ObjectModifiedException. Why? -

- Most probably the object that is being updated has more than 100 related - objects of one class and the cache size for this class is not enough. - You should either increase the size of the cache or change the cache type - to time-limited (the default cache type is count-limited, the default - size is 100), for example: -

-<class ...>
-  <cache-type type="count-limited" capacity="1000"/>
-  ...
-</class>
-		        

-

3.7.4.2. Can I use the cache-type='none' with long transactions?

- As of release 0.9.5.3, you cannot. When using a cache of type 'none' - with your 'Timestampable' objects, a MappingException is thrown when - performing long transactions. Currently, Castor requires a (performance) - cache of type other than 'none' to be used with classes that implement - the TimeStampable interface. In other words, - if you want to use long transactions, please make sure that you use one - of these cache types: 'unlimited', 'count-limited' or 'time-limited'. -

- The next entry has some more information about a potential cause of - confusion in the context of long transactions and a cache type other - than 'unlimited'. -

3.7.4.3.  - What is causing a PersistenceException with long transactions and - how do I fix it? -

- With long transactions, sometimes update() throws a PersistenceException. - As of release 0.9.5.3, Castor requires a (performance) cache (of type - other than 'none') to be used with classes that implement the - TimeStampable interface. -

- Please note that if you are using a cache type other than 'unlimited', - it is possible that objects expire from the cache. This case will be - highlighted to you by a PersistenceException being thrown. -

- In this cases, please consider switching to cache type 'unlimited' - (if possible) or increase the size of the cache according to your - needs when using 'count-limited' (which has a default capacity of 100). -

3.7.5. OQL

3.7.5.1. Is there any document available for Castor OQL?

- Yes. It is available from the Castor website: - Advanced JDO —> OQL -

3.7.5.2.  - The OQL document describes several phases of development. - Which is the current phase? -

We are currently working on Phase 3.

3.7.5.3. Does Castor OQL support sub-queries?

Not yet

3.7.5.4.  - I cannot get Castor OQL to join two objects for me. Is it supported? -

- Yes or no. Castor OQL supports implicit joins. And, in most case, - you simply don't need explicit join. -

- Consider the following example, -

-SELECT o FROM Order o, LineItem i WHERE o.id = i.id AND i.price > 100
-	            

-

- It is simply equivalent to the following OQL -

-SELECT o FROM Order o WHERE o.lineItem.price > 100
-	            

-

3.7.5.5. Can I write a pass-thru OQL?

- Yes. Just put "CALL SQL" keywords in front of your SQL statement. For example, -

-OQLQuery oql = castorDb.getOQLQuery(
-    "CALL SQL SELECT id, name, date "
-   +"FROM user WHERE upper(name) like $1 AS myapp.Product");
-	            

-

- - But remember that the order of the fields listed must match what is - defined in the mapping file. - -

3.7.5.6. Does Castor OQL support struct?

- No, Castor OQL doesn't support struct. For example, the following - query CANNOT be done: -

-select c.name, c.age from Client c
-	            

-

3.7.5.7. How do I structure a query using the 'LIKE' expression?

- A query using the 'LIKE' expression includes the use of the SQL - wildcard '%'. The wildcard must be included in the - bind() statement: -

-        OQLQuery oql = castorDb.getOQLQuery(
-                "SELECT p FROM Product p WHERE p.name LIKE $1" );
-        oql.bind( "%widget%" );
-	            

-

3.7.5.8. Does Castor support the SQL 'IN' expression?

- Yes. However, the full expression is a bit different using the LIST - keyword. The following example provides a demonstration: -

-SELECT p FROM Product p WHERE p.id IN LIST ( 123, 456, 789 )
-	            

-

- If identifiers other than numbers are used, those identifiers must be - quoted: -

-SELECT p FROM Product p WHERE p.name IN LIST ( "abc", "jkl", "xyz" )
-	            

-

- To include NULL values in the 'IN' list, use the 'nil' keyword: -

-SELECT p FROM Product p WHERE p.name IN LIST( "ABC", nil )
-	            

-

- It is even possible to include bind values in the 'IN' lists - using the following syntax: -

-SELECT p FROM Product p WHERE p.id IN LIST( $(int)1, $2, $3 )
-	            

-

3.7.6. Features requests

3.7.6.1. Can a foreign key be part of multiple primary keys?

- Unfortunately, the answer is no. We're aware that many users need - this feature so it is a very high priority in our todo list. -

- If foreign key is the primary key, as a workaround you may consider - using the 'extends' relationship. -

3.7.6.2. Is polymorphic collection supported?

Unfortunately, the answer is no.

- In version 0.8.11, we tried to enable polymorphic collection by - introducing the notation of Object Reloading. Object Reloading - delegates the determination of the class to a data object. However, - it is proved that reloading can only be done before any instance of - the target object is returned to user, and we have no way to determine - that. As a result, we removed the support in version 0.9.x. -

- In the near future, we are going to use a new mechanism to provide - extends. The new mechanism loads a table with an SQL statement that - outer-joins all of the extending tables with the base. The existence - of an extended table row can be used to determine the class of a data - object. Notice that all extended table rows of the same entity should - always be stored in the same data-store. -

- In the further future, we also want to let users to define a - discriminator column (or determinance field). Basing on the value of - discriminator columns in the base table, the bridge layer fetches the - additional information and returns the combined entity with the - appropriate list of entity classes. -

3.7.7. Data model issues

3.7.7.1. Is it possible to map an object to more than one tables?

- Yes, if the two tables share the same identity, you can specify one - data object to "extends" the other. When the extended data object is - loaded, its table (specified in <map-to/> will be joined - with all the tables of its super classes'. -

- Another solution (in my opinion more flexible) is having two set - of methods in the main object. One for Castor JDO and another for - application. -

- Consider the following example: -

-class Employee {
-   private int _employeeNumber;
-   private Address _address;
-   private Collection _workGroup;
-
-   public int getEmployeeNumber() {
-        return _employeeNumber;
-   }
-   public void setEmployeeNumber( int id ) {
-        _employeeNumber = id;
-   }
-
-   // methods for Castor JDO
-   public Address getAddress() {
-       return _address;
-   }
-   public void setAddress( Address address ) {
-        _address = address;
-   }
-   public Collection getWorkGroup() {
-        return _workGroup;
-   }
-   public Collection setWorkGroup( Collection workGroup ) {
-        _workGroup = workGroup;
-   }
-
-   // methods for application
-   public String getAddressCity() {
-       return _address.getCity();
-   }
-   public String getAddressZip() {
-       return _address.getZip();
-   }
-   // ...
-}
-	            

-

3.7.7.2.  - Can an object with the same identity be re-created after being removed - in the same transaction? -

- Yes, as long as the deleted object is the same instance as the one - being recreated. -

3.7.7.3. What is a dependent object?

- Dependent object is actually a concept from the object-oriented - database world. A dependent object's lifetime depends on its master - object. So, create/delete/update of the master object will trigger - the proper actions, newly linked dependent object will be - automatically created and de-referenced dependent object will be - removed. -

- The concept was also used in the earlier CMP 2.0 draft, although - it is later removed. -

3.7.7.4.  - Can a data object involved in many-to-many relationship be dependent? -

No

3.7.8. Castor JDO design

3.7.8.1. How does Castor JDO work anyway?

Let's use object loading as an example.

- When an application invoke db.load, the underneath - TransactionContext is invoked. - If the object with the requested identity exists in the - TransactionContext, previously loaded object in the - TransactionContext is returned. Otherwise, - TransactionContext creates a new instance - of the interested type and invokes LockEngine to "fill" the object. -

- LockEngine acquires a lock of the object, - and it makes sure ClassMolder has a thread-safe - environment when it invokes ClassMolder. - In ClassMolder, if the interested set of fields - representing the object is not existed in the cache yet, - SQLEngine will be invoked and the set of fields - from the underneath data store will be returned. - ClassMolder binds the loaded or cached fields into - the new instance. ClassMolder requests the - TransactionContext to load the related and the - dependent objects. Eventually, the object is returned after all of - the relationships are resolved. -

- The process of commit has several states. The first state is - preStore. In preStore state, objects existing in the - TransactionContext are checked for modification - one by one, including dependent and related objects. - De-referenced dependent objects are marked as delete-able, - and reachable dependent objects are added into - TransactionContext. An object is marked - "dirty" if it is modified. Also, if any modification should cause - any related or dependent to be dirty, the related or dependent object - is marked as dirty as well. -

- After the preStore state, all dirty object is properly stored. And, - all marked delete object will be removed. Then, the connection is - committed. If succeed, all cache with be updated. Finally, all lock - is released. -

3.7.8.2.  - Does Castor support two-phase commits? How is this implemented? -

- Yes, via javax.transaction.Synchronization interface. -

- For Castor to work with global transactions, Castor must be configured - to use global transaction demarcation in its main configuration file: -

-<jdo-conf>
-   ...
-   <transaction-demarcation mode="global" >
-      <transaction-manager name="jndi" />
-   </transaction-demarcation>
-</jdo-conf>
-            

When retrieving a Database instance via

-...
-JDOManager.loadConfiguration("jdo-conf.xml");
-JDOManager jdo = JDOManager.createInstance("mydb");
-...
-Database db = jdo.getDatabase();
-            

- the Database implementation will authomatically - be registered with the transaction manager, as it implements - javax.jta.Synchronization interface. - Subsequently, the transaction manager communicates with Castor - via the beforeCompletion() and afterCompletion() calls. -

3.7.8.3. Does Castor support nested transaction?

No

3.7.9. Working with open source databases

3.7.9.1. Does Castor support PosgreSQL?

- Yes, starting from PostgreSQL 7.1, where outer joins support has - been added. -

3.7.9.2. Does Castor support MySQL?

- Yes, starting from MySQL version 3.23, where transaction support has - been added. Note: if you use Mark Matthews MySQL JDBC driver, then - you need version 2.0.3 or higher. -

3.7.9.3. Which Open Source database is supported better?

- For now only with - PostgreSQL 7.1 - and SAP DB you get a full - set of Castor features. Other Open Source databases don't support - select with write lock, so db-locked locking mode doesn't work - properly (it works in the same way as exclusive locking mode). -

- All other Castor features are supported with - MySQL, - Interbase, - InstantDB and - Hypersonic SQL. -

3.7.10. RDBMS-specific issues

3.7.10.1. MySQL

3.7.10.1.1. Use of DATETIME fields in general

- MySQL in it's current releases (4.0.x and 4.1.x) does not store fractions of a - second in fields of type DATETIME that are mapped to java.sql.TimeStamp fields. - As a result, Castor will throw ObjectModifiedExceptions during commits as Castor - internally maintains fractions of a seconds. -

- Instead, Please use a column type that can be mapped to a long value, as Castor - internally handles conversion between java.util.Date and long values with - the required precision. -

3.7.10.1.2. Use of TIMESTAMP fields & NULLs in long transactions

- In MySQL, fields of type 'Timestamp' exhibit special behaviour wih - regards to NULLs. When inserting a "NULL" into such a field, it - actually inserts the current date and time. This causes problems - for Castor's caching mechanism since Castor internally believes the - field is still NULL. If you subsequently perform an update on the - entry whilst it is still in the cache, an ObjectModifiedException - will be thrown, because Castor believes that the database record - has changed in the meantime. -

The workaround is to use a DATETIME field instead of TIMESTAMP.

3.7.10.1.3. MySQL 4.1.x and upgrade issues

- As with many other open source products, MySQL seems to be changing - slightly from version to version. There seems to be a problem with - concurrency in MySQL 4.1.5 that can be resolved by upgrading to - 4.1.7 or higher. -

- At Castor we frequently use Connector/J 3.0.16, 3.1.13 and nowadays 5.1.6 to - execute our test farmework. If you use one of this versions of Connector/J - you should be on the safe side. If you are hit by any problems using one of - these versions, please let us know. -

3.7.10.2. Oracle

3.7.10.2.1. Oracle & (C|B)LOB fields

- As of Oracle release 10g, the problem of Castor to handle BLOBs - with a size greater than 2kB and CLOBs with a size greater than - 4 kB correctly has been resolved. With the 10 release of Oracle's - JDBC driver, both driver types (type 2 and type 4) can be used. - With earlier releases, only the OCI driver (type 2) seems to work. -

- The 10g release of the Oracle JDBC Driver can be downloaded - here. -

3.7.11. Castor & Logging

3.7.11.1.  - How can I integrate Castor's logging with a logging infrastructure - using Log4J? -

- Please see - - this message from the mailing list. It includes an adapter class - that will provide this functionality. (Thanks John!) -

3.7.11.2.  - Can I see what SQL statement Castor issues to the database as a result - of an operation? -

- Yes, you can. By default, Castor uses JDBC proxy classes (wrapping - java.sql.Connection and - java.sql.PreparedStatement) that capture the - core SQL statements as generated by Castor and the user-supplied - parameters at execution timeof the various persistence operations, - and outputs them to the standard logger used by Castor. - By default, these output statements are not visible, - as the log level is set to level 'info'. To see these SQL statements, - please increase the log level to level 'debug' in - log4j.xml. -

3.7.11.3. How can I disable the use of JDBC proxy classes?

- As of release 0.9.7, a new property -

org.exolab.castor.persist.useProxies

- has been added to castor.properties to allow - configuration of the JDBC proxy classes mentioned above. - If enabled, JDBC proxy classes will be used for logging SQL statements. - When turned off, no logging statements will be generated at all. -

3.7.12. Lazy Loading related questions

3.7.12.1.  - How do I configure the JDO mapping to use the lazy loading feature - for 1:1 relations? -

- Let us convert one of the classes from the - - JDO examples to use - lazy-loading. -

- In the example model, every Product belongs to one ProductGroup. - This is reflected in the conventional mapping as below. - Here's the mapping for Product: -

-<!--  Mapping for Product  -->
-<class name="myapp.Product"
-       identity="id">
-   <description>Product definition</description>
-   <map-to table="prod" xml="product" />
-   <field name="id" type="integer">
-       <sql name="id" type="integer" />
-       <xml name="id" node="attribute"/>
-   </field>
- 
-   <!-- more fields ... -->
-
-    <!--  Product has reference to ProductGroup,
-          many products may reference same group  -->
-    <field name="group" type="myapp.ProductGroup">
-      <sql name="group_id" />
-      <bind-xml name="group" node="element" />
-    </field>
-    
-</class>
-

- Let us now make the relationship between Product and ProductGroup use - lazy loading. The relevant field in Product can be re-written like so: -

-    <field name="group" type="myapp.ProductGroup" lazy="true">
-      <sql name="group_id" />
-      <bind-xml name="group" node="element" />
-    </field>
-           

- There have been one change only. We have placed the attribute lazy="true" in - the field element. Note that no change is required in the ProductDetail - mapping. -

3.7.12.2. Lazy loading for 1:1 relations and serialization

- Please note that Castor does not support full serialization of lazy-loaded - objects at this time. Rather than serializing just the information - required to re-build the underlying proxy implementation during - deserialization, Castor will materialize (read: load from the persistence - store) all objects before serialization. As this can lead to a lot of - database accesses, please use this feature carefully. A full working - solution will be provided with the next release. -

3.7.12.3.  - How do I configure the JDO mapping to use the lazy loading feature for - 1:m and M:N relations? -

- Let us convert one of the classes from the - JDO examples - to use lazy-loading. -

- In the example model, one Product can contain many ProductDetails. - This is reflected in the conventional mapping as below. - First, the mapping for Product: -

-<!--  Mapping for Product  -->
-<class name="myapp.Product"
-       identity="id">
-   <description>Product definition</description>
-   <map-to table="prod" xml="product" />
-   <field name="id" type="integer">
-       <sql name="id" type="integer" />
-       <xml name="id" node="attribute"/>
-   </field>
- 
-   <!-- more fields ... -->
-
-   <!-- Product has reference to ProductDetail
-            many details per product  -->
-   <field name="details" type="myapp.ProductDetail" required="true"
-           collection="vector">
-       <sql many-key="prod_id"/>
-       <xml name="detail" node="element" />
-   </field>
-</class>
-	            

-

- Now let us examine ProductDetail. Note, the relationship is mapped - bi-directionally as must be - all relationships when using Castor JDO. -

-<!--  Mapping for Product Detail -->
-<class name="myapp.ProductDetail" identity="id" depends="myapp.Product" >
-   <description>Product detail</description>
-    <map-to table="prod_detail" xml="detail" />
-   <field name="id" type="integer">
-       <sql name="id" type="integer"/>
-       <xml node="attribute"/>
-    </field>
-    <field name="product" type="myapp.Product">
-       <sql name="prod_id" />
-       <xml name="product" node="element" />
-    </field>
-   
-       <!-- more fields ... -->
-   
-</class>
-	           
-	           

-

- Let us now make the relationship between Product and ProductDetail use - lazy loading. We need only change the way that the relationship to - ProductDetail is specified in the mapping of Product. The relevant - field in Product can be re-written like so: -

-<field name="details" type="myapp.ProductDetail" required="true" lazy="true"
-            collection="collection">
-   <sql many-key="prod_id"/>
-   <xml name="detail" node="element" />
-</field>
-           
-           

-

- There have been two changes. -

  • - We have placed the attribute lazy="true" in the field element -

  • - We have changed the type of the underlying collection type to be - a java.util.Collection by changing the field - element attribute to collection="collection". -

-

- Note that no change is required in the ProductDetail mapping. -

3.7.12.4.  - I have modified my mapping to use lazy loading. Now I get the error - 'no method to set value for field: com.xyz.ClassB in class: - ClassMolder com.xyz.ClassA' or - 'org.exolab.castor.jdo.DataObjectAccessException: no method to set - value for field: com.xyz.ClassB in class: ClassMolder com.xyz.ClassA'. - What am I doing wrong? -

- To use lazy loading you must also change the persistent class that - will hold the related objects. At the very highest level, you need - to provide a set method that accepts a java.util.Collection for the - field in question. This is demonstrated by changing the - - JDO examples below. -

- In the original Product class we have the following code: -

-import java.util.Vector;
-...
-private Vector _details = new Vector();
-...
-public Vector getDetails()
-{
-   return _details;
-}
-
-
-public void addDetail( ProductDetail detail )
-{
-   _details.add( detail );
-   detail.setProduct( this );
-}
-	           

-

- Let us now make the necessary changes to set up lazy loading. - As stated above we now require a special set method for the related - ProductDetails (stored originally as a - java.util.Vector) that accepts a - java.util.Collection as an argument. This mandates - that we must also use a java.util.Collection to - hold our ProductDetails. If this is not added, you will receive the - errors above. -

-import java.util.Collection;
-...
-private Collection _details;
-...
-public Collection getDetails()
-{
-   return _details;
-}
-
-
-public void setDetails( Collection details )
-{
-   _details = details;
-}
-
-	           

-

3.7.13. Tuning for LOBs

- Castor JDO provides a property in castor.properties - for adjusting the size of the JDBC driver's buffer for reading LOBs - (BLOBs and CLOBs) from the database. The propery is named - org.exolab.castor.jdo.lobBufferSize and its default - is 5120 bytes (5k). The size of this buffer can be tuned for larger LOBs, - but is dependent upon the JDBC driver implementation being used and what - it supports. -

3.7.14. Database-specific issues

3.7.14.1. HSQL and identity key generators

- Due to a product limitation, AUTO_INCREMENT sequences in HSQL begin - with 0 rather 1, as is the case with most other RDBMS. As a result - of this, long transactions will not work for the object with the - identity 0, and a ObjectModifiedException will be thrown. -

- To avoid this issue, we recommend inserting a temp object into the - database in question, and removing thereafter so that no object with - identity 0 is stored. -

3.7.15. Changing database configurations

- Some applications need to change the database connection or switch - between different mapping files on the fly. Because Castor caches - database configurations per name, you would have to register a new - JDO configuration using a distinct name for any of the different - configurations. -

- Instead you can call - org.exolab.castor.jdo.engine.DatabaseRegistry.clear() - to reset the database registry before registering the new configuration as - follows: -

-// Reset database registry
-org.exolab.castor.jdo.engine.DatabaseRegistry.clear();
-		
-

3.8. Castor JDO code samples

Authors

Werner Guttmann - () -

3.8.1. Introduction

- This document provides object mapping examples and the corresponding - Java objects and DDL for the database table. -

3.8.1.1. Java class files

- The following fragment shows the Java class declaration for the - Product class: -

-package myapp;
-
-public class Product {
-
-    private int       _id;
-
-    private String    _name;
-
-    private float     _price;
-
-    private ProductGroup _group;
-
-
-    public int getId() { ... }
-
-    public void setId( int anId ) { ... }
-
-    public String getName() { ... }
-
-    public void setName( String aName ) { ... }
-
-    public float getPrice() { ... }
-
-    public void setPrice( float aPrice ) { ... }
-
-    public ProductGroup getProductGroup() { ... }
-
-    public void setProductGroup( ProductGroup aProductGroup ) { ... }
-}

- The following fragment shows the Java class declaration for the - ProductGroup class: -

-public class ProductGroup {
-
-    private int       _id;
-
-    private String    _name;
-
-    public int getId() { ... }
-
-    public void setId( int id ) { ... }
-
-    public String getName() { ... }
-
-    public void setName( String name ) { ... }
-
-}

3.8.1.2. DDL

- The following sections show the DDL for the relational database - tables PROD, - PROD_GROUP, - and PROD_DETAIL: -

- PROD: -

-create table prod (
-  id        int           not null,
-  name      varchar(200)  not null,
-  price     numeric(18,2) not null,
-  group_id  int           not null
-);

- PROD_GROUP: -

-create table prod_group (
-  id        int           not null,
-  name      varchar(200)  not null
-);

- PROD_DETAIL: -

-create table prod_detail (
-  id        int           not null,
-  prod_id   int           not null,
-  name      varchar(200)  not null
-);

3.8.1.3. Object Mappings

- The following code fragment shows the object mapping for the - ProductGroup class: -

-<?xml version="1.0"?>
-<!DOCTYPE mapping PUBLIC "-//EXOLAB/Castor Object Mapping DTD Version 1.0//EN"
-                         "http://castor.org/mapping.dtd">
-<mapping>
-
-  <class name="myapp.ProductGroup" identity="id">
-
-    <description>Product group</description>
-
-    <map-to table="prod_group" xml="group" />
-
-    <field name="id" type="integer" >
-      <sql name="id" type="integer"/>
-    </field>
-
-    <field name="name" type="string">
-      <sql name="name" type="char" />
-    </field>
-
-  </class>
-
-</mapping>

- As a result of that declaration, Castor JDO will create the following - SQL statements for creating, deleting, loading and updating instances - of ProductGroup: -

-create: INSERT INTO prod_group (id, name) VALUES (?,?)
-delete: DELETE FROM prod_group WHERE id=?
-load:   SELECT prod_group.id, prod_group.name FROM prod_group WHERE prod_group.id=?;
-update: UPDATE prod_group SET name=? WHERE id=?
-       
3.8.1.3.1. Read-only fields

- To declare the name field - read-only, the field definition - above for the field name needs - to be changed to: -

-  <class name="myapp.ProductGroup" identity="id">
-
-    ...
-    <field name="name" type="string">
-      <sql name="name" type="char" read-only="true" />
-    </field>
-
-  </class>

- As a result of that declaration, Castor JDO creates the following - SQL statements for creating, deleting, loading and updating - instances of ProductGroup: -

-create: INSERT INTO prod_group (id) VALUES (?)
-delete: DELETE FROM prod_group WHERE id=?
-load:   SELECT prod_group.id, prod_group.name FROM prod_group WHERE prod_group.id=?;
-update: /* no statement will be generated */
-          
3.8.1.3.2. Transient fields

- To declare the name field - transient with regards to - persistence, above field definition for the field - name needs to be changed to: -

-  <class name="myapp.ProductGroup" identity="id">
-
-    ...
-    <field name="name" type="string" >
-      <sql name="name" type="char" transient="true" />
-    </field>
-
-  </class>

3.8.1.4. Relations

3.8.1.4.1. 1:1 relation

- The following code fragment shows the mapping file for the Product - class. Apart from the simple field declarations, this includes a - simple 1:1 relation between Product and - ProductGroup, where every product instance - is associated with a ProductGroup: -

-    <class name="myapp.Product" identity="id">
-
-        <map-to table="prod" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="name" type="string">
-            <sql name="name" type="char" />
-        </field>
-
-        <field name="price" type="float">
-            <sql name="price" type="numeric" />
-        </field>
-
-        <field name="group" type="myapp.ProductGroup" >
-            <sql name="group_id" />
-        </field>
-
-        <field name="details" type="myapp.ProductDetail"
-               collection="vector">
-           <sql many-key="prod_id"/>
-        </field>
-
-        <field name="categories" type="myapp.Category" collection="vector">
-           <sql name="category_id"
-                many-table="category_prod" many-key="prod_id" />
-        </field>
-
-    </class>
3.8.1.4.2. 1:M relation

- The following code fragment shows (again) the mapping file for - the Product class. The field definition highlighted - shows how to declare a 1:M relation between Product - and ProductDetail, where every product instance is - made up of many ProductDetails: -

-    <class name="myapp.Product" identity="id">
-
-        <map-to table="prod" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="name" type="string">
-            <sql name="name" type="char" />
-        </field>
-
-        <field name="price" type="float">
-            <sql name="price" type="numeric" />
-        </field>
-
-        <field name="group" type="myapp.ProductGroup" >
-            <sql name="group_id" />
-        </field>
-
-        <field name="details" type="myapp.ProductDetail" collection="vector">
-           <sql many-key="prod_id"/>
-        </field>
-
-        <field name="categories" type="myapp.Category" collection="vector">
-           <sql name="category_id"
-                many-table="category_prod" many-key="prod_id" />
-        </field>
-    </class>

- The following code fragment shows the corresponding mapping - entry for the ProductDetail class that defines the - second leg of the 1:M relation between Product and - ProductDetail. -

-  <class name="myapp.ProductDetail" identity="id" depends="myapp.Product" >
-
-    <description>Product detail</description>
-
-    <map-to table="prod_detail" xml="detail" />
-
-    <field name="id" type="integer">
-      <sql name="id" type="integer"/>
-    </field>
-
-    <field name="name" type="string">
-      <sql name="name" type="char"/>
-    </field>
-
-    <field name="product" type="myapp.Product">
-      <sql name="prod_id" />
-    </field>
-
-  </class>
3.8.1.4.3. M:N relation

- The following code fragment shows (again) the mapping file for - the Product class. The field definition highlighted - shows how to declare a M:N relation between Product - and ProductCategory, where many products can be - mapped to many product categories: -

-    <class name="myapp.Product" identity="id">
-
-        <map-to table="prod" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="name" type="string">
-            <sql name="name" type="char" />
-        </field>
-
-        <field name="price" type="float">
-            <sql name="price" type="numeric" />
-        </field>
-
-        <field name="group" type="myapp.ProductGroup" >
-            <sql name="group_id" />
-        </field>
-
-        <field name="details" type="myapp.ProductDetail" collection="vector">
-           <sql many-key="prod_id">/>
-        </field>
-
-        <field name="categories" type="myapp.Category" collection="vector">
-           <sql name="category_id"
-                many-table="category_prod" many-key="prod_id" />
-        </field>
-
-    </class>

- The following code fragment shows the corresponding mapping - entry for the ProductCategory class that defines the - second leg of the M:N relation between Product and - Category. -

-  <class name="myapp.Category" identity="id">
-
-    <description>
-        A product category, any number of products can belong to
-        the same category, a product can belong to any number of
-        categories.
-    </description>
-
-    <map-to table="category" xml="category" />
-
-    <field name="id" type="integer">
-      <sql name="id" type="integer"/>
-    </field>
-
-    <field name="name" type="string">
-      <sql name="name" type="char"/>
-    </field>
-
-    <field name="products" type="myapp.Product" collection="vector">
-      <sql name="prod_id"
-           many-table="category_prod" many-key="category_id" />
-    </field>
-
-  </class>

3.8.1.5. Extend relation & polymorphism

- As of release 0.9.9, Castor supports polymorphic queries on extend - hierarchies. (That is, hierarchies where some entities "extend" - other entities.) To highlight this new feature, let's add two new - classes to what we have currently. -

-package myapp;
-
-public class Computer extends Product {
-
-    private int       _id;
-
-    private String    _make;
-
-    public int getId() { ... }
-
-    public void setId( int anId ) { ... }
-
-    public String getmake() { ... }
-
-    public void setMake( String aMake ) { ... }
-
-}
-
-public class Car extends Product {
-
-    private int       _id;
-
-    private Date    _registeredIn;
-
-    public int getId() { ... }
-
-    public void setId( int anId ) { ... }
-
-    public Date getRegisteredIn() { ... }
-
-    public void setRegisteredIn( Date aRegisteredIn ) { ... }
-}

- The corresponding DDL statements for the relational database tables - COMP and - CAR would look as follows: -

COMP:

-create table comp (
-  id        int           not null,
-  make      varchar(200)  not null
-);

CAR:

-create table car (
-  id        int           not null,
-  regIn     int           not null
-);

- Based upon the mapping defined for the Product - class as shown above, the following code fragment shows the mapping - for the Computer and Car classes. -

-    <class name="myapp.Computer" extends="myapp.Product" identity="id">
-
-        <map-to table="COMP" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="make" type="string">
-            <sql name="make" type="char" />
-        </field>
-
-    </class>
-
-    <class name="myapp.Car" extends="myapp.Product" identity="id">
-
-        <map-to table="CAR" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="registeredIn" type="date">
-            <sql name="regIn" type="long" />
-        </field>
-
-    </class>

- Based upon this mapping, it is possible to execute the following OQL - queries against this class model: -

-OQLQuery query = d.getOQLQuery("SELECT c FROM myapp.Computer c");
-        

To return all computers:

-OQLQuery query = d.getOQLQuery("SELECT c FROM myapp.Computer c WHERE c.make = $");
-        

To return all computers of a particular make:

-OQLQuery query = d.getOQLQuery("SELECT p FROM myapp.Product p");
-        

- To return all products (where Castor will return the actual object - instances, i.e. a Computer instance if the object - returned by the query is of type Computer or a - Car instance if the object returned by the query is - of type Car): -

-OQLQuery query = d.getOQLQuery("SELECT p FROM myapp.Product p WHERE p.group.name = $");
-        

- To return all products that belong to the specified product group - (where Castor will return the actual object instances, i.e. a - Computer instance if the object returned by the query - is of type Computer or a Car instance - if the object returned by the query is of type Car): -

3.8.1.6. OQL samples

- Based upon above definitions, here are a few OQL sample queries that - highlight various artifacts of the OQL support of Castor JDO. -

- To Be Written -

-

3.9. Castor JDO - How To's

- - - -

3.9.1. Introduction

- - -

- This is a collection of HOW-TOs. The Castor project is actively seeking - additional HOW-TO contributors to expand this collection. For information - on how to do that, please see 'How to author a HOW-TO'. -

-
- -

3.9.2. Documentation

- - -

3.9.2.1. How to author a HOW-TO document

- -

3.9.2.2. How to author an FAQ entry

- -

3.9.2.3. How to author a code snippet

- -

3.9.2.4. How to author core documentation

-
- - -

3.9.3. Contribution

- - -

3.9.3.1. How to setup Castor project in eclipse

3.9.3.1.1. Introduction

- Are you just interested in how Castor source looks like, want to report a bug - or enhancement request or like to contribute to the project? The first step we - suggest you to do is to setup a Castor project with eclipse IDE. As we use - eclipse to work at Castor, there is everything in place to work with eclipse. - While you are free to use other IDE's, you will need to configure things - yourself with them. -

3.9.3.1.2. Prerequisites
3.9.3.1.3. Create Project
  • - Create a New Project in eclipse from - File -> New -> Projects -

  • - Select "Checkout Projects from SVN" - in "SVN" from - "Select a wizard" window - and click Next - (this option will only come if you have installed the subclipse plugin) -

  • - Select "Create a new repository location" - and click Next -

  • - Enter the URL - "https://svn.codehaus.org/castor/castor" - and click Next -

  • - Select the folder "trunk" - from the list and click Next -

  • - In "Check Out As" - window the name of the project will be - "castor" then click - Next -

  • - At last, you can choose the workspace and click - Finish -

  • - You can see castor project in your - "Project Navigator" of eclipse -

3.9.3.1.4. Troubleshooting

- If you have trouble with Subclipse behind a proxy - server: In Windows development environment, open the file: - C:\Documents and - Settings\MyUserId\Application Data\Subversion\servers - in text editor. Near the bottom of that file is a [global] section with - http-proxy-host and http-proxy-port (user and password also) settings. - Uncommented those lines, modified them for your proxy server and go back - to the SVN Repository view in Eclipse. This should solve the problem. -

- -

3.9.3.2. How to run Castor JDO's database independend unit tests

3.9.3.2.1. Overview

At the time of this writing Castor JDO has 3 kinds of test suites:

  • Database independend plan unit tests.

  • - A JUnit based test suite that is used to test various functional areas - against different database engines to give developers/committers some - reassurance when changing the codebase. -

  • - A Junit based test suite to evaluate impact of changes on performance. -

- This document provides general information about running Castor JDO's database - independend unit tests. -

3.9.3.2.2. Prerequisites

- See: How to setup Castor - project in eclipse -

3.9.3.2.3. Execute tests in eclipse

- To execute tests in eclipse, go and right click on - cpa/src/test/java source folder and select - "Run As -> JUnit Test". -

3.9.3.2.4. References
- -

3.9.3.3. How to run Castor JDO's test suite

3.9.3.3.1. Overview

At the time of this writing Castor JDO has 3 kinds of test suites:

  • Database independend plan unit tests.

  • - A JUnit based test suite (CTF) that is used to test various functional - areas against different database engines to give developers/committers - some reassurance when changing the codebase. -

  • - A Junit based test suite (PTF) to evaluate impact of changes on performance. -

- This document provides general information about running Castor JDO's test - suite (CTF). -

3.9.3.3.2. Intended Audience

- Anyone who wants to run the CTF test suite. This document outlines - the basic steps to get people unfamiliar with this area started. -

3.9.3.3.3. Prerequisites

- Anybody wishing to run the CTF test suite should have access to the - source code of Castor. This can be obtained in one of the following ways: -

  • - Download the sources distribution from the - download page -

  • - Download the latest snapshot from SVN from - Fisheye - (see links on the bottom left corner) -

  • - Check out the latest code from SVN into your prefered developement environment. - For instructions on this task, take a look at - Subversion - access. For eclipse - How - to setup Castor project in eclipse provides a detailed description - of this task. -

3.9.3.3.4. 2 versions of CTF

- At the moment we are in the middle of replacing the old CTF with a new one. - While the old CTF still is our reference for refactorings of Castor does the - new CTF contain some tests which could not be added to the old one due to its - limitations. On the other hand are not all tests ported to the new CTF yet. -

- In the next sections we describe how to setup the environment to execute both - CTF versions. While both versions of CTF are designed to be executed against - every supported database engine, we will describe things with regard to mysql. - Having said that there are only scripts for mysql at the new CTF at the moment. - At a later step of the CTF refactoring we will add scripts for other databases - as well. In addition we intend to allow its execution with an embedded derby - database out of the box, but this have not been implemented yet. -

- For those who might be wondering about the numbering of tests, - the numbers of the old tests are just random. - The numbers of the new tests are the jira issue numbers. -

3.9.3.3.5. Steps to setup environment for old CTF

- To execute tests against mysql database you probably need access to a - mysql server. To create a database for CTF, you have to execute the following - commands on mysql consol. -

-# create database test;
-# grant all on test.* at "localhost" to "test" identified by "test";
-# use test;
-# source [path-to-script];

- If the server is not installed on your local machine (the one you execute - the tests on) you have to replace "localhost" with the - IP of the machine the tests get executed on. The script to execute can be - found in "cpactf/src/old/ddl/" - directory. For mysql it's "mysql.sql". - If you like to use a different name for the database or use - other user credential you can adjust them at - "cpactf/src/old/resources/jdo/mysql.xml". -

- As we do not include JDBC drivers for every database with Castor you also have - to add the driver you like to use to your classpath to execute the tests. - The easiest way is to copy the driver to - "lib/" directory as all jar's - contained therein are added automatically. Another option is to modify - "bin/test.sh" or "bin/test.bat" - script depended on your operating system. -

- For mysql™ we still use - "mysql-connector-java-3.1.13-bin", also for - mysql server™ of version 5. - This version has proven to be stable. While other versions of - mysql connector™ may also work, - some of them have bugs from our experience. -

- As already explained you will find JDO configurations for every supported - database in - "cpactf/src/old/resources/jdo". - The JDO configurations are named mysql.xml, - oracle.xml etc. In the same directory you will also - find main mapping file "mapping.xml" that includes all - other mappings which are located in the - "cpactf/src/old/resources/ctf/jdo/..." - directories. There is one more important file for the old tests - "cpactf/src/old/resources/tests.xml", - it is the main config file which defines which test should be executed - against which database engine. As mentioned previously not every test - works with every database engine as some missing some features or castor - does not support everything of every engine. -

3.9.3.3.6. Steps to run old CTF from commandline

- From a command line (e.g a shell), please execute the following commands - to run the whole test suite against mysql (where - <castor-root> points to the directory - where you installed the Castor sources: -

-cd <castor-root>/bin
-build clean
-build tests
-test castor.mysql

- To execute just one of the many tests of the complete test suite, - please change this to: -

-cd <castor-root>/bin
-build clean
-build tests
-test castor.mysql.TC30
[Note]Note

- You have to execute "build clean" and - "build tests" again if you have changed anything within - eclipse (e.g. a configuration file or a class). -

3.9.3.3.7. Steps to run old CTF out of eclipse

Now, let's see how we can run these old CPACTF tests through eclipse.

  • - Go to "/cpacft/src/old/java" and right click -

  • Select Run As -> Run...

  • - Select "Java Application" from the left side menu - and double click on it to create "New_configuration". -

  • Select Project -> castor

  • Enter Main class -> MainApp

  • Select Arguments Tab

  • - Enter Program Arguments for example: - "castor.mysql.TC31" or "castor.mysql" -

  • Now "Run"

3.9.3.3.8. Short description of the old CTF tests

As some features are not supported by all database engines (e.g. sequence keygenerator) or a test have not been - verified against a database, only a subset of the following tests will be executed if you run CTF.

  • TC01 Duplicate key detection tests.

  • TC02 Concurrent access tests.

  • TC03 Read only tests.

  • TC04 Deadlock detection tests.

  • TC05 Update rollback tests.

  • TC06 Race tests.

  • TC07 Cache leakage tests.

  • TC08 Cache expiry measure.

  • TC09 TxSynchronizable interceptor tests.

  • TC10 Type handling tests.

  • TC11 Type handling of LOB tests.

  • TC12 Type Conversion tests.

  • TC13 Serializable object tests.

  • TC14 Rollback primitive tests.

  • TC15 Multiple columns primary keys tests.

  • TC15a Multiple columns primary keys only tests.

  • TC16 Nested fields tests.

  • TC17 Timestamp tests.

  • TC18 Persistence interface tests.

  • TC19 InstanceFactory interface tests.

  • TC20 Key generators: MAX, HIGH-LOW.

  • TC23 Key generator: IDENTITY.

  • TC24 Key generator: UUID.

  • TC25 Dependent objects tests.

  • TC26 Dependent objects tests.

  • TC27 Dependent update objects tests.

  • TC28 Dependent update objects tests.

  • TC30 OQL-supported syntax.

  • TC31 OQL queries for extends.

  • TC32 Test limit clause.

  • TC33 Test limit clause with offset.

  • TC34 Test limit clause with offset at extended object.

  • TC36 SizeOracle.

  • TC37 Absolute.

  • TC38 CALL SQL with parameters.

  • TC38a Named query support.

  • TC70 Collections.

  • TC71 Test special collections.

  • TC72 Test sorted collections.

  • TC73 ManyToMany.

  • TC74 ManyToManyKeyGen.

  • TC75 Expire Many-To-Many.

  • TC76 Cached OID with db-locked.

  • TC77 Query garbage collected.

  • TC78 JDBC connection.

  • TC79 Test the use of Database.isLocked().

  • TC79a Test auto-store attribute.

  • TC79aa Test auto-store attribute for 1:M relations.

  • TC79b Test the use of Database.isPersistent().

  • TC80 self-referential relation test with extend hierarchies.

  • TC81 Dependent relation test.

  • TC82 Dependent relation test (using no key generators).

  • TC83 Identity definition through identity attribute in field mapping. -

  • TC84 Transient attribute.

  • TC85 TestEnum.

  • TC87 TestLazy1to1.

  • TC88 Lazy Loading.

  • TC89 Expire Lazy Employee.

  • TC93 Polymorphism Degenerated tests.

  • TC94 Polymorphism tests.

  • TC95 Polymorphism tests with key generator.

  • TC96 Polymorphism tests for depend relations.

  • TC97 Polymorphism tests.

  • TC98 Polymorphism tests in a threaded environment.

  • TC99 Polymorphism tests (many 2 many).

  • TC200 Self-referential relation tests.

  • TC201 Self-referential relation tests with extend hierarchy. -

  • TC202 ForeignKeyFirst tests.

  • TC203 Timezone tests.

3.9.3.3.9. Steps to setup environment for new CTF

- To execute tests against mysql database you probably need access to a - mysql server. To create a database for CTF, you have to execute the - following commands on mysql console. -

-# create database cpactf;
-# grant all on cpactf.* at "localhost" to "test" identified by "test";
-# use cpactf;
-# source <path-to-script>;

- If the server is not installed on your local maschine (the one you execute the - tests on) you have to replace "localhost" with the IP - of the maschine the tests get executed on. For mysql execute every - "mysql.sql" script found in subdirectories of - "cpactf/src/test/ddl/" directory. - If you like to use a different name for the database or use other user - credential you can adjust them at - "cpactf/src/test/resources/cpactf-conf.xml". -

- As we do not include JDBC drivers for every database with Castor you also have - to add the driver you like to use to your classpath to execute the tests. - The easiest way is to copy the driver to - "lib/" directory as all jar's - contained therein are added automatically. Another option is to modify - "bin/test.sh" or "bin/test.bat" - script depended on your operating system. -

- For mysql we still use "mysql-connector-java-3.1.13-bin", - also for mysql server™ of version 5. This version - has proven to be stable. While other versions of - mysql connector™ may also work, - some of them have bugs from our experience. -

3.9.3.3.10. Steps to run new CTF out of eclipse

- Execution of the new test suite from within eclipse against - mysql™ is very simple. -

  • Select "cpactf/src/test/java" and right click

  • - Select "Run as" -> "JUnit tests" -

- In in the configuration file "cpactf-conf.xml" mysql is configuerd as default - database. To execute tests against another database engine or to force - execution of tests that have been excluded you can pass VM parameter to the - test framework. VM Arguments can also be specified in eclipse. -

  • - Select "Run as" -> "Run.." - from main menu -

  • Select Arguments Tab

  • - Enter VM Arguments for example: - "-Dname=value" -

  • Now "Run"

The following VM parameters are supported by CTF.

config

Path to an alternate configuration file.

database

Name of the database configuration.

transaction

Name of the transaction manager configuration.

force

Force execution of excluded tests (true/false).

3.9.3.3.11. Troubleshooting

- For those who face the following problem in eclipse - while executing the tests -

-#An unexpected error has been detected by HotSpot Virtual Machine:
-#
-#EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x7c918fea, pid=2460, tid=3712
-#
-#Java VM: Java HotSpot(TM) Client VM (1.5.0-b64 mixed mode)
-#Problematic frame:
-#C [ntdll.dll+0x18fea]
-#
-#An error report file with more information is saved as hs_err_pid2460.log
-#
-#            If you would like to submit a bug report, please visit:
-#              http://java.sun.com/webapps/bugreport/crash.jsp
-#

- It is a problem with memory configured for eclipse. It can be changed in - eclipse.ini file which can be found in installation - directory of Eclipse. By default it is -Xmx256m, - just increase it and problem go away. -

- -

3.9.3.4. How to run Castor JDO's performance tests

3.9.3.4.1. Overview

At the time of this writing Castor JDO has 3 kinds of test suites:

  • Database independend plan unit tests.

  • - A JUnit based test suite that is used to test various functional areas - against different database engines to give developers/committers some - reassurance when changing the codebase. -

  • - A Junit based test suite to evaluate impact of changes on performance. -

This document provides general information about running Castor JDO's performance tests.

3.9.3.4.2. Prerequisites

- See: How - to setup Castor project in eclipse -

3.9.3.4.3. Steps to setup environment for old CTF

- To execute performance tests against mysql database you probably need access - to a mysql server. To create a database for PTF, you have to execute the - following commands on mysql console. -

-# create database cpaptf;
-# grant all on cpaptf.* at "localhost" to "test" identified by "test";
-# use cpaptf;
-# source [path-to-script];

- If the server is not installed on your local machine (the one you execute - the tests on) you have to replace "localhost" with the IP - of the machine the tests get executed on. The script to execute is - "cpaptf/src/test/ddl/mysql.sql". -

- As we do not include JDBC drivers for every database with Castor you also have - to add the driver you like to use to your classpath to execute the tests. - The easiest way is to copy the driver to - "lib/" directory as all jar's - contained therein are added automatically. -

- For mysql we still use "mysql-connector-java-3.1.13-bin", - also for mysql server™ of version 5. - This version has proven to be stable. While other versions of - mysql connector™ may also work, - some of them have bugs from our experience. -

3.9.3.4.4. Steps to execute performance tests in eclipse

- Execution of the performance test suite from within eclipse is very simple. -

  • - Select "cpaptf/src/test/java" - -> "org.castor.cpaptf" - -> "TestAll.java" and right click -

  • - Select "Run As" -> "JUnit Test" -

- By default the test uses 2000 service objects that get created, loaded with - various configurations and deleted afterwards. Obviously this will take quite - some time. Please be patient for normal termination of the tests as you will - need to clean test tables by hand otherwise. To execute tests with a different - number of objects you can adjust "FACTOR" constant in - "TestCreate.java". For example, if you set - "Factor" to 1.0 the tests will be executed with 10000 - service objects. When using more test objects be aware that you may need to - increase heap size of the virtual machine for the test to finish. -

- By default you won't see any output of results on the console as logging level - of log4j is set to "warn" by default. But if you change log level of - "org.castor.cpaptf" package to "info" - you will see detailed execution times for every test on the console. - Be aware that there are quite some log4j.xml - configurations in the whole Castor project at the moment of which the one - first one on classpath will be used. -

- If you like to review some older test results you will find them under - "cpaptf/src/site/resources/results/" - but they depend heavy on the machine you are running the tests on. -

3.9.3.4.5. References
- -

3.9.3.5. Submitting a bug report

3.9.3.5.1. Submitting a problem report
3.9.3.5.1.1. Driver

- Most of the traffic on the Castor Users mailing list is about people - asking for help on various features of Castor (whether JDO or XML). - Whilst there is nothing wrong about asking questions and looking for - help if you are stuck, it seems that there is room to improve the - structure of this 'conversation'. -

- If you have a look at some of these threads (e.g. at the - searchable - mailing list archive), it's quite easy to see that most - of the time ... -

  1. An initial question is posted.

  2. - An initial reply is posted with some follow-up questions, - e.g. request for code fragments, mapping files, etc. -

  3. - One or more code fragments, mapping files, etc. are being posted. -

  4. etc.

- This document will establish guidelines with regards to step 3) above. -

3.9.3.5.1.2. Introduction

- This document provides step-by-step instructions on how to submit a - problem report (when being asked to do so). It does so by walking you - through a fictive problem and its resulting bug report, and providing - instructions based upon this scenario. -

- Per definition, any problem report submitted (in other words, most - likely attached to a bug report at - http://jira.codehaus.org/browse/CASTOR) - by the means of a patch has to include the following artefacts: -

  • A JUnit test case that 'showcases' your problem.

  • Castor JDO configuration file.

  • Castor JDO mapping file.

  • - One or more 'entity' classes required to run your test case. -

  • - A SQL schema file (to help in the creation of required tables). -

  • - A README file (with any additional - information/instructions required to understand /run your test case. -

[Note]Note

- Whilst we can and will not impose these guidelines in their strictest - sense, I think that the use of technologies such as JUnit will simplify problem - resolution and as a result lead to shorter turn-around times. Which is ultimately where - you, the user, gains.. -

3.9.3.5.1.3. Templates

- To facilitate creation of a fully featured patch as discussed above, - we have provided you with an already existing bug template at - 'src/bugs/jdo/template'. -

[Note]Note

- Please note that this directory is distributed only as part of the - source archive(s). -

- This directory holds all artefacts mentioned above, as is structured - as follows: -

Table 3.7. bug template artefacts

srcSource code
src/bugsCommon root for bug reports
- src/bugs/jdo - Common root for JDO bug reports
- src/bugs/jdo/template - Patch template
- src/bugs/jdo/template/TestTemplate.java - JUnit test case.
- src/bugs/jdo/template/EntityOne.java - Entity required by the test case
- src/bugs/jdo/template/jdo-conf.xml - Castor JDO configuration
- src/bugs/jdo/template/mapping.xml - Castor mapping file
- src/bugs/jdo/template/create.sql - SQL schema to create database table(s)
src/bugs/jdo/template/READMETest instructions

- To create you own bug report, please copy - 'template' - to e.g. bug1820, - assuming that 1820 is the number assigned to your BugZilla - problem report). Subsequently, please amend the files provided to - match your own requirements. After you have consolidated your changes, - the original directory structure in - src/bugs could look as follows: -

Table 3.8.  - directory structure of - src/bugs -

- src - Source code
- src/bugs - Common root for bug reports
- src/bugs/jdo - Common root for JDO bug reports
- src/bugs/jdo/template - Patch template
- src/bugs/jdo/template/TestTemplate.java - JUnit test case.
- src/bugs/jdo/template/EntityOne.java - Entity required by the test case
- src/bugs/jdo/template/jdo-conf.xml - Castor JDO configuration
- src/bugs/jdo/template/mapping.xml - Castor mapping file
- src/bugs/jdo/template/create.sql - SQL schema to create database table(s)
- src/bugs/jdo/template/README - Test instructions
- src/bugs/jdo/bug1820 - Your specific bug (as per BugZilla bug number)
- src/bugs/jdo/bug1820/TestCase.java - JUnit test case.
- src/bugs/jdo/bug1820/Entity1.java - Entity required
- src/bugs/jdo/bug1820/Entity2.java - Entity required
- src/bugs/jdo/bug1820/jdo-conf.xml - Castor JDO configuration
- src/bugs/jdo/bug1820/mapping.xml - Castor mapping file
- src/bugs/jdo/bug1820/schema.sql - SQL schema to create database table(s)
- src/bugs/jdo/bug1820/README - Test instructions

3.9.3.5.1.4. Add your test case to the master test suite

- Once you have successfully executed your JUnit test case, please add - this test to the master test suite available in - src/bugs/AllTests.java as follows. To add - a test to this suite, please duplicate the line -

-			
-    suite.addTestSuite(template.TestTemplate.class);
-			

- and replace the term - 'jdo.template.TestTemplate.class' with - 'jdo.bug1820.TestCase'. -

- This will allow us to run all tests related to all open bugs in one go by executing - just this test suite. -

3.9.3.5.1.5. Creating the patch

- As explained in - - Guidelines For Code Contribution, we ask you to submit your code - changes in the form of a unified patch by attaching it to the relevant - bug report. -

- To create a unified patch for - submission, you can either use the command line SVN client - (which you find instructions to download for at - http://subversion.tigris.org/ - or any IDE that offers support or SVN - (such as Eclipse with Subclipse plugin) -

- In any case, please note that we are trying to standardize on the use - of unified patches only, and that - you should always update your code - (against the SVN repository) before creating the patch. - If you have never used SVN before, there will be ways to - convince us to accept e.g. a Zip file includig your changes. -

3.9.3.5.1.6. References

- Whilst we cannot assume that every Castor (JDO) user is an expert in - the use of JUnit, we do believe that they are quite easy to get - acquainted with. As a starting point, please find below some - references: -

  • - JUnit - A well-known - framework for writing integration-level and functional tests. -

  • - SVN Home - - many usefulSVN related items -

- -

3.9.3.6. How to prepare a patch

3.9.3.6.1. Overview

- A "patch" is the set of differences between two versions of the same file. - Patches are used to send someone the exact changes that you have made to - your version of a program or a document. They can then apply that patch - to their version to merge the changes and bring their version up-to-date - with your version. -

- As our example we use the contribution of a simple documentation patch for - the Castor project. The principles apply to any project and to any type of - file, e.g. *.xml, - *.java, - *.xsd, etc. -

3.9.3.6.2. Intended Audience

- Anyone who wants to contribute to a project. This document addresses the - basics, so as to get new people started. -

- Our example describes the use of command-line tools for a UNIX system. - Other tools can be used, as long as they produce a - "unified diff". -

3.9.3.6.3. Prerequisites

Contributers should have:

  • - The source code of the documents as a local working copy of the - SVN repository. If you are working with the current SVN HEAD then - you will have already done a - 'svn checkout castor'. However, see below for - other ways of obtaining source for diff comparison. -

  • - The tools with which to prepare a patch. On UNIX the "svn" program - has the svn diff command. -

3.9.3.6.4. Steps

Here is how to proceed.

3.9.3.6.4.1. Understand what a patch is

- A "Patch" is the set of differences between two versions of the same - file. A patch comprises one or more "diff" files. These diffs are - produced by the program of the same name: diff. -

- Here is an example of a single diff for one of the Castor How-to - pages, where we are suggesting a minor text change. Do not get - frightened. These are just human-readable instructions to the "patch" - program. -

-            
-Index: contrib.xml
-===================================================================
-RCS file: /home/projects/castor/src/doc/jdo-howto.xml,v
-retrieving revision 1.7
-diff -u -r1.7 contrib.xml
---- jdo-howto.xml 30 Apr 2002 07:44:52 -0000      1.7
-+++ jdo-howto.xml 26 May 2002 04:08:23 -0000
-@@ -208,7 +208,7 @@
-    to create a patch. (The commands are for Linux.)
-   </p>
-
-- <s2 title="How to Establish your Local Repository">
-+ <s2 title="How to Establish your Local Working Copy">
-
-   <p>
-    This will checkout the current copy of the master cvs repository and
-            

- That is a "unified diff" ... there a some lines of context on each - side of the changes. This patch is basically saying "Change the text - on line 208". -

  • lines to be deleted are preceded with -

  • lines to be added are preceded with +

  • contextual lines with no leader remain the same

3.9.3.6.4.2. Modify your document and ensure consistency

- Let us now go though the process of preparing that patch. Go ahead - and edit your local copy of the document at - $CASTOR_HOME/src/doc/jdo-howto.xml. -

- Ensure that it is valid XML using your favourite XML editor or an - external validating parser. Please do not leave it up to the poor - committer to fix broken XML. -

- Run the 'build doc' target to be sure that links - are not broken and that the new document is presented as you intend - it to be. -

3.9.3.6.4.3. Get ready

- If you are using the HEAD of SVN then ensure that your working copy - is up-to-date. Of course, if you are using a previous public release - version of Castor, then it is already up-to-date. -

3.9.3.6.4.4. Generate the differences

- Prepare the diff file. SVN will contact the remote repository, ensure - that your working copy is up-to-date, then compare your local copy - with the master repository. -

-            
-    cd src/doc
-    svn diff jdo-howto.xml > $TEMP/castor/patch/jdo-howto.xml.diff
-            
3.9.3.6.4.5. Describe the patch

- Prepare a brief explanation of what your patch does. Get this ready - in a text file before you go to Jira. See further hints about this - in the "Description" section of the How-to Jira. -

- What revision of SVN did you patch against? Was it HEAD branch? Was - it a nightly build? Was it a public release? -

3.9.3.6.4.6. Submit via Jira

- To contribute your patch to a specific project, use Jira - The Codehaus - Issue Database. The procedure is explained in How to Contribute a - Patch via Jira. -

3.9.3.6.5. Real World Extension
3.9.3.6.5.1. Multiple diffs in a single patch

- A patchfile can contain the differences to various individual - documents. For example, the following command does that ... -

-            
-    cd src
-    svn diff > $WORK/castor/patch/src.dir.diff
-            

- However, be careful not to go overboard with this technique. When - producing multiple diffs in one patchfile, try to limit it to one - particular topic, i.e when fixing the same broken external link in - various pages, then it would be fine to produce a single diff. - Consider the committer - they will find it hard to apply your patch - if it also attempts to fix other things. -

3.9.3.6.5.2. Other ways of obtaining source for diff comparison

- Ideally you will prepare your patches against a SVN repository. - There are other ways to do this. They do create more work for the - committers, however it may be the only way that you can do it. - We would certainly rather receive your patch however it comes. - As a matter of fact, we would politely ask you first to send us a - unified patch. -

- You could get the source document via the web interface to SVN. - Here are the steps ... -

  • get the relevant XML file via FishEye

  • - save the file to your local disk: - ./jdo-howto.xml.orig -

  • - create a copy of the file: ./jdo-howto.xml -

  • make your modifications and validate the XML

  • - use the "diff" command - (i.e. not 'cvs diff') as follows -

  • - diff -u jdo-howto.xml.orig jdo-howto.xml > - $WORK/castor/patch/jdo-howto.xml.diff -

  • proceed as for Step 5.

3.9.3.6.6. Tips
  • - Please review your diffs before you submit your patch to JIRA -

3.9.3.6.7. References
  • - The UNIX manual pages 'man diff' and - 'man patch'. -

  • - SVN Home - - many useful SVN related items -

- -

3.9.3.7. How to Contribute a Patch via Jira

-
- - -

3.9.4. OQL

- - -

3.9.4.1. How to use a LIMIT clause with OQL

3.9.4.1.1. Overview

3.9.4.1.2. Intended Audience

- Anyone who wants to execute an OQL statement and limit the result size. -

- The example given describes the addition of LIMIT/OFFEST clauses to an - existing OQL statement. -

3.9.4.1.3. Prerequisites

- You should have a valid class mapping for two Java classes - Product and ProductGroup, - similar to the following one: -

-        
-package myapp;
-
-public class Product 
-{
-    private int       _id;
-
-    private String    _name; 
-
-    private float     _price; 
-
-    private ProductGroup _group;
-
-
-    public int getId() { ... }
-    public void setId( int anId ) { ... }
-
-    public String getName() { ... }
-    public void setName( String aName ) { ... }
-
-    public float getPrice() { ... }
-    public void setPrice( float aPrice ) { ... }
-
-    public ProductGroup getProductGroup() { ... }
-    public void setProductGroup( ProductGroup aProductGroup ) { ... }
-}
-        

- The following fragment shows the Java class declaration for the - ProductGroup class: -

-
-public class ProductGroup
-{
-
-    private int       _id;
-
-    private String    _name;
-
-    public int getId() { ... }
-    public void setId( int id ) { ... }
-
-    public String getName() { ... }
-    public void setName( String name ) { ... }
-
-}
-        
3.9.4.1.4. Steps

Here is how to proceed.

3.9.4.1.4.1. Compose an OQL statement to obtain all ProductGroup instances

- The following code fragment shows an OQL query to select the all - ProductGroup instances. -

-            
-OQLQuery query = db.getOQLQuery("select product from ProductGroup product");
-query.bind(10);
-OQLResults results = query.execute();
-            
3.9.4.1.4.2. Add LIMIT clause to OQL statement

- The following code fragment shows the same OQL query as above, to - this time the LIMIT keyword is added to select the first 10 - instances only. -

-            
-    OQLQuery query = db.getOQLQuery(
-            "select product from ProductGroup product LIMIT $1");
-    query.bind(10);
-    OQLResults results = query.execute();
-            
3.9.4.1.4.3. Add OFFSET clause to OQL statement

- Below is the same OQL query again, restricting the number of - ProductGroup instances returned to 10, though - this time it is specified that the ProductGroup - instances 101 to 110 should be returned. -

-            
-OQLQuery query = db.getOQLQuery(
-        "select product from ProductGroup as product LIMIT $1 OFFSET $2");
-query.bind(10);
-query.bind(100);
-OQLResults results = query.execute();
-            
3.9.4.1.5. Limitations

The following RDBMS fully/partially support LIMIT/OFFSET clauses.

Table 3.9. Support for LIMIT in RDBMS

RDBMSLIMITOFFSET
postgreSQLYesYes
mySQLYesYes
Oracle 1) 2)YesYes
HSQLYesYes
MS SQLYes-
DB2Yes-

- 1) Caster has full support for LIMIT/OFFSET clauses for Oracle - Releases 8.1.6 and later. -

- 2) For the LIMIT/OFFSET clauses to work properly the OQL query is required - to include an ORDER BY clause. -

3.9.4.1.6. Tips
  • - In the case a RDBMS does not support LIMIT/OFFSET clauses, a - SyntaxNotSupportedException will be thrown. -

3.9.4.1.7. References
-
- -

3.9.5. Core features

- - -

3.9.5.1. How to use a (performance) cache with Castor

3.9.5.1.1. Intended Audience

- Anyone who wants to enable caching for classes already mapped with - Castor JDO. -

- This document addresses the basics to get people familiar with the basic - concepts and discusses some implementation details. -

- The example given describes the addition of a - <cache-type> element to an existing class mapping. -

3.9.5.1.2. Prerequisites

- You should have a valid class mapping for a Java class, similar to the - following one: -

-        
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-        
3.9.5.1.3. Steps

Here is how to proceed.

3.9.5.1.3.1. Add <cache-type> element to class mapping

- Add a <cache-type> element as shown below, specifying the cache - provider to use in the 'type' attribute. -

-            
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <cache-type type="time-limited"/>
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-            

- This, for example, defines the 'time-limited' cache provider to be - used for the com.xyz.MyOtherObject. This cache - provider applies internally a time-limited least-recently-used - algorithm for com.xyz.MyObject instances. -

3.9.5.1.4. Tips
  • - With the current release, performance caches also serve a dual - purpose as dirty checking caches for - long-transactions. - This limitation implies that the object's duration in the - performance cache determines the allowed time span of a long - transaction. This might become an issue when performance caches - of type 'count-limited' or - 'time-limited' are being used, as objects will - eventually be disposed. If an application tries to update an - object that has been disposed from the dirty checking cache, an - ObjectModifedException will be thrown. -

- -

3.9.5.2. How to map typesafe enumerations with Castor

3.9.5.2.1. Intended Audience

- Anyone who wants to persist object that refer to a typesafe enumeration. -

- This document addresses the basics and shows an example how to map an - object that has a typesafe enumeration property. -

3.9.5.2.2. Prerequisites

- Enumerations are a common method for ensuring data integrity, both in - software and in relational databases. As a platform for linking the two, - we added support for persisting class fields whose type is a Java typesafe - enumeration to Castor JDO. -

- To use this new feature your typesafe enumeration should follow the enum - pattern commonly used and provide a static - valueOf(String) method. An enum of - different kinds of computer equipment may look like: -

-        
-public class KindEnum {
-    private static final Map KINDS = new HashMap();
-
-    public static final KindEnum MOUSE = new KindEnum("Mouse");
-    public static final KindEnum KEYBOARD = new KindEnum("Keyboard");
-    public static final KindEnum COMPUTER = new KindEnum("Computer");
-    public static final KindEnum PRINTER = new KindEnum("Printer");
-    public static final KindEnum MONITOR = new KindEnum("Monitor");
-
-    private final String _kind;
-
-    private KindEnum(final String kind) {
-        _kind = kind;
-        KINDS.put(kind, this);
-    }
-
-    public static KindEnum valueOf(final String kind) {
-	    return (KindEnum) KINDS.get(kind);
-    }
-
-    public String toString() { return _kind; }
-}
-        

- At your Product class you may want to have a - property that tells you what kind of computer equipment a product is of. -

-        
-public class Product {
-    private int         _id;
-    private String      _name;
-    private KindEnum    _kind;
-    
-    public Product() { }
-    
-    public int getId() { return _id; }
-    public void setId(int id) { _id = id; }
-
-    public String getName() { return _name; }
-    public void setName(String name) { _name = name; }
-
-    public KindEnum getKind() { return _kind; }
-    public void setKind(KindEnum kind) { _kind = kind; }
-}
-        
3.9.5.2.3. Steps

- Your mapping for the Product class should be: -

-        
-<class name="Product" identity="id">
-  <description>Product with kind enum</description>
-  <map-to table="enum_prod"/>
-  <field name="id" type="integer">
-    <sql name="id" type="integer"/>
-  </field>
-  <field name="name" type="string">
-    <sql name="name" type="char"/>
-  </field>
-  <field name="kind" type="KindEnum">
-    <sql name="kind" type="char"/>
-  </field>
-</class>
-        
3.9.5.2.4. Tips
  • - To add this new feature we added an additional check when searching - for field types. Like before Castor - first searches for know types and thereafter for a mapping for - the class you specified as type. If both of them do not match it - now checks if the class specified as type is available at classpath - and has a static valueOf(String) method. - Only if all of this conditions are met it will be viewed as a - valid mapping. -

- -

3.9.5.3. How to use Castor JDO's connection proxies

3.9.5.3.1. Introduction

- Castor JDO uses the - Jakarta Common's Logging package for output - information relevant to the execution of a specific JDO operations to a - log file. The information output historically included the SQL statements - used by Castor to execute the various - persistence operations such as loading or updating domain entities. - Unfortunately, the SQL statements logged did not include any information - about the parameters being bound to the prepared statements immediately - before execution, and hence made it very hard for users of - Castor JDO to analyze these in the case of an - issue/problem. -

- To improve this situation, proxy classes for the - java.sql.Connection and - java.sql.PreparedStatement interfaces have been - added, to allow for complete and better JDBC statements to be output to - the log files. As this might impose a performance penalty at run-time, - we have allowed for this to be turned off completely through the standard - Castor property file. -

- A new property has been added to the Castor property file - (castor.properties) to allow configuration of this - feature. -

3.9.5.3.2. Intended Audience

- Anyone who wants to use the new JDBC proxy classes with - Castor JDO selectively, i.e. enabling and - disabling their use. -

- The example given describes how to turn the use of the proxy classes on/off. -

3.9.5.3.3. Prerequisites

- You should have a valid castor.properties file as - part of your application. -

3.9.5.3.4. Steps

Here is how to proceed.

3.9.5.3.4.1. Enable the use of the JDBC proxy classes

- To enable the use of the JDBC proxy classes described above, please - add the following section to your - castor.properties file. -

-            
-  # True if JDBC proxy classes should be used to enable more detailed logging output of SQL
-  # statements; false otherwise (logging of SQL statements will be turned off completely).
-  #
-  org.exolab.castor.persist.useProxy=true
-            

- This instructs Castor JDO to use the JDBC - proxy classes and to output full information about the SQL statements - used at run-time. When disabled, no logging of SQL statements will - occur at all. -

3.9.5.3.5. References
-
- - -

3.9.6. Cascading

- - -

3.9.6.1. How to use cascading operations

3.9.6.1.1. Overview

- Up to Castor 1.3.1, users of Castor JDO have been able to automatically - store/update or delete objects across relations by issuing ... -

-        
-  Database.setAutostore(true)
-        

- before going starting a transaction. This feature was useful, indeed, but - on a second look its limitation (global definition across all entities) - became obvious, especially on big projects. You might want to have - cascading operations activated selectively (activated for one object, - but not for another). Or even more tricky, you might like to automatically - track changes across one relation from a starting object, but but not - across another relation from the very same object. -

- As of Castor 1.3.2, a new - cascading attribute has been introduced - to the <sql> tag of the JDO mapping file. -

3.9.6.1.2. Intended Audience

- This and all other cascading documents address people familiar with the - basic concepts of mapping domain entities to database tables and defining - relations between objects (on database level as well as on object level). - But in particular, this document applies to the following user groups: -

  1. - Everyone who wants to cascade operations across (any type of) - object relation(s). -

  2. - Everyone who now uses - Database.setAutoStore(boolean) to have - persistence operations cascaded across relations. -

[Note]Note

- Especially the second user group should change their approach towards - using cascading operations, and switch to using the new cascading - attribute. As of Castor 1.3.2, the current - Database.setAutoStore(boolean) methods will - be deprecated, and in the long run, - this operations will be removed from the JDO interfaces. -

3.9.6.1.3. Prerequisites

- You should have a valid mapping file, containing at least two objects, - being in relation with each other. For the remainder of this document, - we'll be using the following example mapping file as a starting point. -

-        
-<mapping>
-  <class name="org.castor.cascading.Author" identity="id">
-    <cache-type type="none" />
-    <map-to table="OneToOne_Author" />
-    <field name="id" type="integer">
-      <sql name="id" type="integer" />
-    </field>
-    <field name="timestamp" type="long">
-      <sql name="time_stamp" type="numeric" />
-    </field>
-    <field name="name" type="string">
-      <sql name="name" type="char" />
-    </field>
-  </class>
-  <class name="org.castor.cascading.Book" identity="id">
-    <cache-type type="none" />
-    <map-to table="OneToOne_Book" />
-    <field name="id" type="integer">
-      <sql name="id" type="integer" />
-    </field>
-    <field name="timestamp" type="long">
-      <sql name="time_stamp" type="numeric" />
-    </field>
-    <field name="name" type="string">
-      <sql name="name" type="char" />
-    </field>
-    <field name="author" type="org.castor.cascading.Author">
-      <sql name="author_id"/>
-    </field>
-  </class>
-</mapping>
-        
3.9.6.1.4. Use of the cascading attribute

- In order to activate cascading for create operations for the - author relation defined in the mapping - file above, you have to add the following attribute to the field mapping - of the author property: -

-	  
-<class name="org.castor.cascading.one_to_one.Book" identity="id">
-   <cache-type type="none" />
-   ...
-	
-   <field name="author" type="org.castor.cascading.one_to_one.Author">
-      <sql name="author_id" cascading="create"/>
-   </field>
-</class>
-        

- Remember that the code above adding a cascading attribute with a value - of create is only an example. You can define any - combination of cascading attributes, delimiting those values by spaces, - as shown in the following example: -

-        
-<field name="author" type="org.castor.cascading.one_to_one.Author">
-   <sql name="author_id" cascading="create update"/>
-</field>
-        
3.9.6.1.5. Values for the cascading attribute

- In order to achieve an optimal granulation of activating and de-activating - functionality, there are 5 possible values, out of which 3 can be activated - separately or in any combination. -

- In general, what you have to keep in mind is that some cascading types - do not only affect the the (coincidentally) identically named database - operation, but also other persistence operations. For more details please - read the following references carefully. -

- If no cascading attribute is defined, its default value will be - none. -

3.9.6.1.6. References
- -

3.9.6.2. How to cascade creation

3.9.6.2.1. Overview

- Cascading creation allows you to transfer some of the responsibilities - of creating objects to Castor JDO. - To be more precise: if you enable cascading creation on a relation between - two classes, all objects on one end of that relation that have not yet - been created will be created when the other end gets persisted. - This saves you from manually creating every single object, which is - especially useful when dealing with large object graphs that have 1:M - (one to many) relations or many objects in a single relationship. -

3.9.6.2.2. Enabling cascading creation

- To enable cascading creation on a relation, you simply set the cascading - attribute of the <sql> field describing the - relation to "create" (or "all"): -

- In other words, the field mapping for the Java property - book ... -

-		
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" />
-</field>
-     

becomes

-        
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" cascading="create" />
-</field>
-     

- In case of bidirectional relations, it does matters on which end you - enable cascading creation. It is also possible to enable it on both ends. -

3.9.6.2.3. Scenarios
3.9.6.2.3.1. db.create()

- The most intuitive case is when you explicitly call - db.create() on an object that has cascading - creation enabled on one or more of his relations. If the objects in - those relationships have not yet been created, they will be as part - of the create() execution. -

- Here is a simple example, where the objects Author and Book are in a - one-to-one relation (i.e. every Book has exactly one Author): -

-			
-db.begin();
-
-Author author = new Author();
-author.setId(1);
-author.setName("John Jackson");
-
-Book book = new Book();
-book.setId(1);
-book.setTitle("My Life");
-book.setAuthor(author);
-
-db.create(book);
-
-db.commit();
-            

- Once the commit operation has successfully completed, both the - Author and the Book - instance will have been persisted to your data store. To highlight - this, lets's have a look at the corresponding database tables - before and after the - execution of above code fragment. -

Before

-

Table 3.10. Author

idname
(empty table)


-

-

Table 3.11. Book

idtitleauthor_id
(empty table)


-

After

-

Table 3.12. Author

idname
1"John Jackson"


-

-

Table 3.13. Book

idtitleauthor_id
1"My Life"1


-

3.9.6.2.3.2. db.commit()

- Cascading creation also works implicitly: any objects that are on the - receiving end of a cascaded relation will be created upon transaction - commit, provided they do not exist yet and that the object on the - primary end of that relation does. In other words: if you modify a - relation property of a loaded object, any new objects that now need - to be created will be created. -

- To demonstrate, let's continue the example from the previous section. - We, again, have a Book and an - Author, in a one-to-one relation, - both already persisted. If we now change the book's author to someone - new, any object that is not yet in the database will be persisted - automatically. Just call db.commit() after - setting the new author, and the new author will be persisted as well. -

-			
-db.begin();
-
-Author author = new Author();
-author.setId(2);
-author.setName("Bruce Willis");
-
-Book book = db.load(Book.class, 1);
-book.setAuthor(author);
-
-db.commit();
-        

- In terms of unit test assertions, the current state of the author and - book instances can be expressed as follows: -

-            
-db.begin();
-
-Book book = db.load(Book.class, 1);
-assertNotNull(book);
-assertEquals(1, book.getId());
-
-Author author = book.getAuthor();
-assertNotNull(author);
-assertEquals(2, book.getId());
-
-db.commit();

- As above, let's have a look at the corresponding database tables for - the entities Author and - Book: -

Before

-

Table 3.14. Author

idname
1"John Jackson"


-

-

Table 3.15. Book

idtitleauthor_id
1"My Life"1


-

After

-

Table 3.16. Author

idname
1"John Jackson"
2"Bruce Willis"


-

-

Table 3.17. Book

idtitleauthor_id
1"My Life"2


-

- Please note that we now have two authors stored, and that the book - with an id value of '1' now has a foreign key relationship to the - author with the id value '2'. -

3.9.6.2.3.3. Cascading create and collections

- The real benefit of using cascading for object creation shows when - dealing with 1:M relations, usually expressed through Java collections - in your entity classes. -

- For the remainder of this secction, we will use the Java classes - Department and Employee, - which have a 1:M relationship (in other words, every department has - one or more employees). On the Java side, this is expressed as the - Department having a collection of - Employee objects in form of a Java collection. - In the database, this will obviously be the other way around, with the - emp table referencing the - dept table. Every example in this - section will use the same database state as a starting point, as - shown here: -

Table 3.18. dept

idname
23"Accounting"

Table 3.19. emp

idnamedept_id
1"John"23
2"Paul"23
3"Ringo"23

Example 1: Adding objects

-			
-db.begin();
-
-Employee employee = new Employee();
-employee.setId(4);
-employee.setName("George");
-
-Department department = db.load(Department.class, 23);
-department.getEmployees().add(employee);
-
-db.commit();
-        

After

Table 3.20. dept

idname
23"Accounting"

Table 3.21. emp

idnamedept_id
1"John"23
2"Paul"23
3"Ringo"23
4"George"23

Example 2: Removing objects

-			
-db.begin();
-
-Department department = db.load(Department.class, 23);
-department.getEmployees().remove(2);
-
-db.commit();
-            

After

Table 3.22. dept

idname
23"Accounting"

Table 3.23. emp

idnamedept_id
1"John"23
2"Paul"23
3"Ringo"NULL

[Note]Note

- this of course only works if you allow the employee's foreign - key dept_id to be - NULL or, alternatively, also delete the Employee - when you remove the relationship (either by manually calling - db.remove() or TODO) -

- Example 3: Adding & removing - objects -

-			
-db.begin();
-
-Employee e4 = new Employee();
-e4.setId(4);
-e4.setName("George");
-
-Employee e5 = new Employee();
-e5.setId(5);
-e5.setName("Joe");
-
-Employee e6 = new Employee();
-e6.setId(6);
-e6.setName("Jack");
-
-Department dep = db.load(Department.class, 23);
-dep.setEmployees(Arrays.asList(e4, e5, e6));
-
-db.commit();
-            

Database after:

Table 3.24. dept

idname
23"Accounting"

Table 3.25. emp

idnamedept_id
1"John"NULL
2"Paul"NULL
3"Ringo"NULL
4"George"23
5"Joe"23
6"Jack"23

The note to example 2 also applies here.

- -

3.9.6.3. How to cascade deletion

3.9.6.3.1. Overview

- If you enable cascading deletion on a relationship, deleting the object - on one end of the relationship (i.e. calling db.remove() on the object) - will also delete the object on the other end. -

3.9.6.3.2. Enabling cascading deletion

- To enable cascading deletion on a relationship you simply set the cascading - attribute of the <sql> field describing the - relation to "delete" (or "all"): -

-		
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" cascading="delete" />
-</field>
-     

- In case of bidirectional relationships, be aware that it matters on which - end you enable cascading deletion. It is also possible to enable it on - both ends. -

3.9.6.3.3. Scenarios

3.9.6.3.3.1. db.remove()

- Let's say we have the objects Author and Book and they are in a - one-to-one relationship, with every Book - having exactly one Author. The database looks - like this: -

Table 3.26. Author

idname
1"John Jackson"

Table 3.27. Book

idtitleauthor_id
1"My Life"1

Now, since we specified the relationship to cascade deletion, if we remove the book, - the author gets removed too (after all, an author without a book isn't really an author).

-			
-db.begin();
-
-Book b1 = db.load(Book.class, 1);
-db.remove(db1);
-
-db.commit();
-            

Afterwards, the database predictably looks like this:

Table 3.28. Author

idname
(empty table)

Table 3.29. Book

idtitleauthor_id
(empty table)

Cascading the deletion of objects in to-many relationships works in exactly the same way.

Note: You need to explicitly invoke db.remove() to delete an object. Simply setting a relational property to NULL - or removing an item from a collection will not remove the corresponding entity from the database, even with cascading - deletion enabled.

- -

3.9.6.4. How to cascade update

3.9.6.4.1. Overview

- When working with long transactions, you can cascade the - db.update() operation, so that, for example, - updating the root of a large object graph causes all connected entities - to update as well (provided cascading update is enabled on the particular - relationships, of course). -

3.9.6.4.2. Enabling cascading update

- To enable cascading update on a relationship you simply set the cascading - attribute of the <sql> field describing the - relation to "update" (or "all"): -

-		
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" cascading="update" />
-</field>
-     

- In case of bidirectional relationships, be aware that it matters on which - end you enable cascading update. It is also possible to enable it on both - ends. -

3.9.6.4.3. Scenarios

3.9.6.4.3.1. db.update()

- Let's say we have the objects Author and Book and they are in a - one-to-one relationship, with every Book - having exactly one Author. The database looks - like this: -

Table 3.30. Author

idname
1"John Jackson"

Table 3.31. Book

idtitleauthor_id
1"My Life"1

- Now let's change the book's title. Note that we never directly load - the book and that the change happens outside of any transaction: -

-			
-db.begin();
-Author a1 = db.load(Author.class, 1);
-db.commit();
-
-a1.getBook().setName("My Fantastic Life");
-
-db.begin();
-db.update(a1);
-db.commit();
-            

Afterwards, the database looks like this:

Table 3.32. Author

idname
1"John Jackson"

Table 3.33. Book

idtitleauthor_id
1"My Fantastic Life"1

3.9.6.4.4. Limitations
  • To-many relationships are currently not supported (except many-to-one).

  • As it is now, enabling cascading update will cause db.update() to also create any entities - that have not yet been persisted. (In other words: setting cascading to "update" has the same - effect as setting it to "update create", but only when invoking db.update().)

-
- - -

3.9.7. Caches

- - -

3.9.7.1. How to use Castor in a J2EE cluster

3.9.7.1.1. Introduction

- With release 0.9.9, several cache providers have been added that are - distributed caches per se or can be configured to operate in such a mode. - This effectively allows Castor JDO to be used - in a clustered J2EE (multi-JVM) environment, where - Castor JDO runs on each of the cluster - instances, and where cache state is automatically synchronized between - these instances. -

- In such an environment, Castor JDO will make - use of the underlying cache provider to replicate/distribute the content - of a specific cache between the various JDOManager instances. Through - the distribution mechanism of the cache provider, a client of a - Castor JDO instance on one JVM will see any - updates made to domain objects performed against any other JVM/JDO instance. -

3.9.7.1.2. Intended Audience

- Anyone who wants to use Castor JDO in a - J2EE cluster. -

- The example given describes the use of the Coherence - cache provider to enable distributed caching. -

3.9.7.1.3. Prerequisites

- You should have a valid class mapping for a Java class, similar to the - following one: -

-        
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-        
3.9.7.1.4. Steps

Here is how to proceed.

3.9.7.1.4.1. Add <cache-type> element to class mapping

- Add a <cache-type> element as shown below, - specifying the cache provider to use in the 'type' - attribute. -

-            
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <cache-type type="coherence"/>
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-            

- This instructs Castor JDO to use the - 'coherence' cache provider for objects of type - com.xyz.MyOtherObject. It is the cache provider - that is responsible to distribute any changes to the cache state to - all other Castor JDO instances within the - same cluster. -

3.9.7.1.4.2. Add Coherence JARs to CLASSPATH

- Add the Coherence JARs to the class path of your e.g. web application - by putting the JARs into the - WEB-INF/lib folder of your - web application. -

-
- - -

3.9.8. Connection pooling

- - -

3.9.8.1. How to use Jakarta's DBCP for connection pooling

3.9.8.1.1. Introduction

- This HOW-TO provide users with instructions on hot to configure - Castor JDO so that Apache Jakarta's DBCP - package is used as a connection pool. -

3.9.8.1.2. Intended audience

- Anyone who wants to use DBCP as connection pool mechanism with - Castor JDO. -

3.9.8.1.3. Steps

- Below are defined the steps to configure - Castor JDO to use DBCP's - BasicDataSource for connection pooling. -

3.9.8.1.3.1. Configuration

- To use a DBCP BasicDataSource with - Castor JDO, please provide the following - <data-source> entry in the - jdo-conf.xml file. -

-            
-  <data-source class-name="org.apache.commons.dbcp.BasicDataSource">
-    <param name="driver-class-name" value="com.mysql.jdbc.Driver" />
-    <param name="username" value="test" />
-    <param name="password" value="test" />
-    <param name="url" value="jdbc:mysql://localhost/test" />
-    <param name="min-active" value="10" />
-    <param name="max-active" value="40" />
-  </data-source>
-            

- Above example makes use of the mySQL JDBC driver - to establish a connection pool to a mySQL - instance named 'test' running on the same machine as Castor itself. - The pool initially holds 10 connections, but is configured to allow - a maximum of 40 active connections at the same time. -

3.9.8.1.4. References
-
- - -

3.9.9. Use of Castor in J2EE applications

- - -

3.9.9.1. How to use Castor with(in) distributed J2EE transactions

3.9.9.1.1. Overview

- J2EE applications depend on the J2EE container (hosting Servlet, EJB, etc) - to configure a database connection (as well as other resource managers) - and use JNDI to look it up. This model allows the application deployer - to configure the database properties from a central place, and gives the - J2EE container the ability to manage distributed transactions across - multiple data sources. -

- This HOW-TO shows how to seamlessly use - Castor JDO in such a managed environment, - and how to make Castor participate in a - distributed transaction. -

3.9.9.1.2. Intended audience

- Anyone who wants to use Castor JDO with(in) - distributed J2EE transactions. -

3.9.9.1.3. Steps

- The following sections highlight the steps necessary to use - Castor JDO seamlessly in such a (managed) - environment, and how to make Castor participate - in a distributed transaction. -

3.9.9.1.3.1. Make Castor participate in a J2EE transaction

- The following code fragment shows how to use JNDI to lookup a database - and how to use a JTA UserTransaction instance - to manage the J2EE (aka distributed) transaction: -

-// Lookup databse in JNDI
-Context ctx = new InitialContext();
-Database db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Begin a transaction
-UserTransaction ut = (UserTransaction) ctx.lookup( "java:comp/UserTransaction" );
-ut.begin();
-// Do something
-. . .
-// Commit the transaction, close database
-ut.commit();
-db.close();
-            
3.9.9.1.3.2. Make Castor participate in container-managed J2EE transaction

- If the transaction is managed by the container, a common case with - EJB beans and in particular entity beans, there is no need to - begin/commit the transaction explicitly. Instead the application - server takes care of enlisting the database used by - Castor JDO to insert domain entities into - a database in the ongoing transaction and commiting/rolling back at - the relevant time. -

- The following code snippet relies on the container to manage the - transaction. -

-InitialContext  ctx;
-UserTransaction ut;
-Database        db;
-
-// Lookup databse in JNDI
-ctx = new InitialContext();
-db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Do something
-. . .
-// Close the database
-db.close();
-            

- As transaction enregistration is dealt with at the J2EE container, - it is not necessary anymore to obtain a - UserTransaction and start/commit the transaction - manually. -

3.9.9.1.3.3. Resource enlisting

- Instead of constructing required resources directly, a typical J2EE - application uses the JNDI API to look up resources from centrally - managed place such as a naming and directory service. In such an - environment, Castor JDO takes on the role - of a managed resource as well. It follows that, instead of constructing - a org.exolab.castor.jdo.JDOManager directly, - a typical J2EE application should use JNDI - to look it up. -

- We thus recommend enlisting the JDOManager - object under the java:comp/env/jdo namespace, - compatible with the convention for listing JDBC resources. -

3.9.9.1.4. Tips
  • - When using Castor JDO in a J2EE - environment, Castor allows you to - enable a special Database instance pooling support. - This option is configured via the - org.exolab.castor.jdo.JDOManager.setDatabasePooling(boolean) - method; by default, it is turned off. This option only affects - JDOManager if J2EE transactions are used - and if a transaction is associated with the thread that calls - {@link #getDatabase}. -

    - If database pooling is enabled, JDOManager - will first search in this special pool to see if there is already - a org.exolab.castor.jdo.Database instance - for the current transaction. If found, it returns this - org.exolab.castor.jdo.Database instance; - if not, it creates a new one, associates it will the transaction - and returns the newly created - org.exolab.castor.jdo.Database instance. -

    - Please make sure that you call this method before calling - {@link #getDatabase}. -

3.9.9.1.5. References
-
- - -

3.9.10. Database specifica

- - -

3.9.10.1.  - How to connect to a Apache Derby instance in network server mode -

- -
-
-
-

3.10. Castor JDO - Tips & Tricks

3.10.1. Logging and Tracing

- When developing using Castor, we recommend that you use the various - setLogWriter methods to get detailed information and error - messages. -

- Using a logger with org.exolab.castor.mapping.Mapping - will provide detailed information about mapping decisions made by Castor and - will show the SQL statements being used. -

- Using a logger with org.exolab.castor.jdo.JDO - will provide trace messages that show when Castor is loading, storing, - creating and deleting objects. All database operations will appear in - the log; if an object is retrieved from the cache or is not modified, - there will be no trace of load/store operations. -

- Using a logger with org.exolab.castor.xml.Unmarshaller - will provide trace messages that show conflicts between the XML document and - loaded objects. -

- A simple trace logger can be obtained from - org.exolab.castor.util.Logger. This logger uses the - standard output stream, but prefixes each line with a short message - that indicates who generated it. It can also print the time and date of - each message. Since logging is used for warning messages and simple - tracing, Castor does not require a sophisticated logging mechanism. -

- Interested in integratating Castor's logging with Log4J? Then see - this question - in the JDO FAQ. -

3.10.2. Access Mode

- If you are using JDO objects with the default access mode ('shared') and too many transactions - abort when attempting to commit due to locks, you should consider upgrading to an 'exclusive' - mode. When two transactions attempt to modify and store the same object at the same time, - lock issues arise. Upgrading to an 'exclusive' mode will prevent concurrent transactions - from modifying the same object at once. -

- If too many transactions abort when attempting to commit due to dirty checking, you should - consider upgrading to a 'locked' mode. When external database access modifies the same objects - being managed by Castor, Castor will complain that objects are dirty. Upgrading to a 'locked' - mode will prevent concurrent update. -

- Be advised that 'exclusive' mode introduces lock contention in the Castor persistence engine, - and 'locked' mode adds lock contention in the database. Lock contention has the effect of - slowing down the application and consuming more CPU. -

- If too many transaction abort due to deadlock detection, consider modifying the application - logic. Deadlock occurs when two transactions attempt to access the same objects but not in - the same order. -

3.10.3. Inheritence

- There are two types of inheritence: Java inheritence and relational inheritence. -

- With Java inheritence, two objects extend the same base class and map to two different - tables. The mapping file requires two different mappings for each of the objects. - For example, if Employee and Customer both - extend Person, but Employee maps to the table - emp and Person to the table - person, the mapping file should map both of these objects - separately. -

- With relation inheritence, one table provides the base information and another table - provides additional information using the same primary keys in both. Use the extends - attribute to specify such inheritence in the mapping file. For example, if Computer - extends Product and the table comp provides computer-specific columns - in addition to product columns in prod, the mapping for Computer will - specify Product as the extended class. -

- When a class just extends a generic base class or implements an interface, this form - of inheritence is not reflected in the mapping file. -

3.10.4. Views of Same Object

- It is possible to use different objects and mappings to the same tables. For example, - it is possible to define a subset of a table and load only several of the columns, - or load an object without its relations. -

- To determine the first and last names and e-mail address of an object without loading - the entire person object, create a subset class and map that class to a portion of - the table. Such a class cannot be used to create a new person, but can be used to - delete or modify the person's details. -

- Use partial views with care. If you attempt to load the same record using a full - object and a subset object, changes to one of these objects are allowed, but - changes to both will result in a conflict and roll back the transaction. - Locking will not work properly between full and subset objects. - Also note, that each of the two objects will have its own cache, so - if you update the first object and load the second, you may obtain old values. - To avoid this situation you may turn off the cache for both objects: -

-             <class ... >
-                <cache-type type="none">
-                ...
-             </class>
-         

-

3.10.5. Upgrading Locks

- When an object is loaded into memory in the default access mode ('shared'), - a read lock is acquired on that object. When the transaction commits, if there - are changes to the object a write lock will be required. There is no guarantee - that a write lock can be acquired, e.g. if another transaction attempts to - change the same object at the same time. -

- To assure concurrent access, you may upgrade the object's lock by calling the - org.exolab.castor.jdo.Database.lock(java.lang.Object) - method. This method will either acquire a write lock or return if a timeout - elapses and the lock could not be acquired. Once a lock has been acquired, - no other transaction can attempt to read the object until the current - transaction completes. -

- Object locking is recommended only if concurrent access results in conflicts - and aborted transactions. Generally locks results in lock contention which has an - effect on performance. -

3.10.6. NoClassDefFoundError

- Check your CLASSPATH, check it often, there is no reason not to! -

3.10.7. Create method

- Castor requires that classes have a public, no-argument constructor - in order to provide the ability to marshal & unmarshal objects of that type. -

- create-method is an optional attribute to the <field> - mapping element that can be used to overcome this restriction in cases where - you have an existing object model that consists of, say, singleton classes - where public, no-argument constructors must not be present by definition. -

- Assume for example that a class "A" that you want to be - able to unmarshal uses a singleton class as one of its properties. When - attempting to unmarshal class "A", you should get an - exception because the singleton property has no public no-arg constructor. - Assuming that a reference to the singleton can be obtained via a static - getInstance() method, you can add a "create method" to class - A like this: -

-         
-            public MySingleton getSingletonProperty()
-            {
-               return MySingleton.getInstance();
-            }
-      

- and in the mapping file for class A, you can define the singleton - property like this: -

-         
-            <field name="mySingletonProperty"
-                  type="com.u2d.MySingleton"
-                  create-method="getSingletonProperty">
-               <bind-xml name="my-singleton-property" node="element" />
-            </field>
-      

- This illustrates how the create-method attribute is quite a useful - mechanism for dealing with exceptional situations where you might - want to take advantage of marshaling even when some classes do not - have no-argument public constructors. -

[Note]Note

- As of this writing, the specified - create-method must exist as a method in the current class (i.e. the class - being described by the current <class> element). - In the future it may be possible to use external static factory methods. -

-

3.11. Castor JDO - Advanced features

Authors

Werner Guttmann - () -

3.11.1. Introduction

- As explained at - the introduction to Castor JDO, - Castor has support for many advanced features such as caching, depend - relations, inheritance, polymorphism, etc. The below sections detail these - features, as their understanding is required to use Castor JDO in a - performant and secure way. -

3.11.2. Caching

- All information related to caching and related concepts supported - by Castor has been consolidated into one place, and is available - here. -

3.11.3. Dependent and related relationships

- Castor distinguishes the relationship of two objects as dependent or related, - and maintains the life cycle independently for the two types of relationships. - Starting from Castor 0.9, the developer can explicitly define a dependent - relationship in the mapping file. -

- When using independent relations, related objects' life cycle is independent - of each other, meaning that they have to be created, removed and updated - (for long transaction) independently. -

- When using dependent relations, one data object class must be declared as - depends on one other data object class in - the mapping file, and such an object is called a dependent data object class. - A data object class without depends - declared in the mapping is called a master object. A master object can be - depended upon by zero or more dependent data object class. -

- As of Castor 0.9, a dependent object class can be related to other master data - object classes including extended classes, but cannot depend on more than one - master class. -

- If an object class declared as depends - on another class, it may not be created, removed or updated separately. - Attempting to create, remove or update a dependent object will result in - ObjectNotPersistcapableException. Note that Castor doesn't allow a - dependent object instance to change its master object instance during a - transaction. Each dependent object can have only one master object. - Both dependent and master objects must have identities, and may or may - not make use of key-generators. -

- Here is the DTD for declaring dependent object: - -

-<!ATTLIST class     name ID  #REQUIRED
-          extends   IDREF    #IMPLIED
-          depends   IDREF    #IMPLIED
-          identity  CDATA   #IMPLIED
-          access    ( read-only | shared | exclusive | db-locked )  "shared"
-          key-generator   IDREF #IMPLIED
-            

-

- For example, -

-<mapping>
-    <class name="com.xyz.MyDependentObject"
-        depends="com.xyz.MyObject">
-        ...
-    </class>
-</mapping>
-            

- declares the data object class - com.xyz.MyDependentObject as a dependent - upon class com.xyz.MyObject. -

3.11.4. Different cardinalities of relationship

- Castor supports different cardinalities of relationship, namely one-to-one, - one-to-many, and many-to-many. Many-to-many relationship must be related - rather than dependent, because each dependent object can have only one - master object. -

- Many-to-many requires a separate table for storing the relations between - two types of objects. Many-to-many introduces two attributes, namely - many-key and many-table that reside in the <sql> - element which is a sub-element of the <field> - element. For all many-to-many relations, a many-table must be specified. - If the column name of the primary key of the class is different from the - foreign keys columns of the class in the relation tables, then the relation - table columns can be specified using the many-key attributes. Similarly, - if the column name of the primary key of the related class is different - from the foreign key columns of the related class, then the relation table - columns can be specified using the name attribute. -

- The many-table is used to store relations in a separate table - -

-<mapping>
-    <class>
-        <field>
-            <sql many-key="#OPTIONAL" name="#OPTIONAL"
-                 many-table="#REQURIED">
-        </field>
-    </class>
-</mapping>

-

- So, for example, if the SQL table is the following, - -

Table 3.34. employee_table

idnamesalary
1482Smith, Bob$123,456
628Lee, John$43,210
1926Arnold, Pascal$24,680


- - -

Table 3.35. department_table

idnamecomment
3Accounting 
7EngineeringThe very important department. :-)


- - -

Table 3.36. employee_department

e_idd_id
........


-

- Then, the mapping for employee data object would look like this -

-<mapping>
-    <class name="com.xyz.Employee" identity="id">
-        <map-to table="employee_table"/>
-            <field name="id" type="integer">
-                <sql name="id"/>
-            </field>
-            <field>
-                <sql many-table="employee_department"
-                     many-key="e_id" name="d_id"/>
-            </field>
-            <field name="salary">
-                <sql name="salary" type="integer">
-            </field>
-    </class>
-</mapping>

3.11.5. Lazy Loading

- As of release 0.9.6, Castor has full support for lazy loading object - instances referenced as part of all relation types currently supported: -

  • 1:1 relations

  • 1:m relations

  • M:N relations.

3.11.5.1. 1:1 relations

- As of release 0.9.6, Castor supports lazy-loading of 1:1 relations. - Imagine the following class mapping: -

-<mapping>
-    <class name="com.xzy.Department">
-       ...
-       <field "employee" type="com.xyz.Employee" lazy="true" />
-       ...
-    </class>
-</mapping>
-            

- Per definition, when an instance of Department is loaded through e.g. - Database.load(), Castor will not (pre-)load the Employee instance - referenced (as such reducing the size of the initial query as well - as the size of the result set returned). Only when the Emplyoee - instance is accessed through Department.getEmployee(), Castor will load - the actual object into memory from the persistence store. -

- This means that if the Employee instance is not accessed at all, not - only will the initial query to load the Department object have had its - complexity reduced, but no performance penalty will be incurred for the - additional access to the persistence store either. -

3.11.5.2. 1:M and M:N relations

- The elements in the collection are only loaded when the application asks - for the object from the collection, using, for example, iterator.next(). - The iterator in Castor's lazy collection is optimized to return a loaded - object first. -

- In the mapping file, lazy loading is specified in the element of the - collection's <field>, for example, -

-<mapping>
-    <class name="com.xzy.Department">
-       ...
-        <field name="employee" type="com.xyz.Employee" lazy="true"
-               collection="collection"/>
-    </class>
-</mapping>

- declares that the collection of type Employee in a Department is lazy loaded. -

- If lazy loading is specified for a field of a class, Castor will set the - field with a special collection which contains only the identities of the - objects. Because of that, it requires the data object to have the method - setDepartment( Collection department) in the data object class which was - not required in previous versions. -

[Note]Note

- Please note that currently only the - java.util.Collection - type is supported. -

3.11.6. Multiple columns primary keys

- The support of multiple column primary keys (also called compound primary - keys) was another major enhancement added into Castor 0.9. - Specifying multiple column primary keys is simple and straightforward, - in the mapping file, -

-<mapping>
-    <class name="com.xyz.MyObject" identity="firstName lastName">
-        <field name="firstName" type="string">
-           <sql name="fname"/>
-        </field>
-        <field name="lastName" type="string">
-           <sql name="lname"/>
-        </field>
-           ...
-    </class>
-</mapping>

- Multiple column primary keys work with both master and dependent objects, - all cardinalities of relationship, including one-to-one, one-to-many and - many-to-many, as well as lazy loading. -

- However, multiple column primary keys should only be used to adhere to an - existing database design, not when designing a new database. In general, - it is not a good idea to use an identity or identities which can be modified - by the user, or which contain application-visible data. For example, if the - system allows the user name to be changed, using user name as identity is - highly discouraged, as this practice can require a major data migration to - a new schema to update all foreign keys to adhere to a new primary key - structure, should the user name no longer be adequate as a primary key. - It should be noted that Castor doesn't support identity change, as specified - in the ODMG 3.0 specification. So, primary keys changes are almost certainly - a large trade off between data integrity and performance. Well chosen - primary keys are usually single (not multiple) column numeric or character - fields for the reasons outlined above, as well as performance, as joining - operations are faster for single column primary keys. -

3.11.7. Callback interface for persistent operations

- For the various persistence operations as available through the - org.exolab.castor.jdo.Database interface, - Castor JDO provides a callback interface that informs the implementing - class on events taking place related to selected persistence operations. -

- Once your entity class implements the - org.exolab.castor.jdo.Persistence interface, - you'll have to provide implementations for the following methods (with - their respective semantics described next to them): -

Table 3.37. Interface methods

MethodDescription
jdoAfterCreate() - Indicates that an object has been created in persistent storage. -
jdoAfterRemove() - Indicates that an object has been removed from persistent storage. -
jdoBeforeCreate() - Indicates that an object is to be created in persistent storage. -
jdoBeforeRemove() - Indicates that an object is to be removed from persistent storage. -
jdoLoad() - Indicates that the object has been loaded from persistent storage. -
jdoPersistent(Database) - Sets the database to which this object belongs when this object - becomes persistent. -
jdoStore()Indicates that an object is to be stored in persistent storage. -
jdoTransient()Indicates the object is now transient.
jdoUpdate() - Indicates that an object has been included to the current - transaction by means of db.update() method (in other words, - at the end of a "long" transaction). -

-

3.12. Running the self-executable Castor JDO examples

Authors

Werner Guttmann - () -

- As of release 1.0M3, the Castor JDO examples have been packaged in a - new way and are available for download at the - download page. In the - following sections, we explain the steps required to unpack this new archive, - and how to execute the tests. -

3.12.1. Download the castor-$RELEASE-examples.zip archive

- In order to be able to run the new Castor JDO examples, please download - the new castor-${RELEASE}-examples.zip from the - download page and put it into - some location on your computer. -

3.12.2. Unpack the ZIP file

- To unpack the ZIP file downloaded, issue one of the following commands: -

unzip castor-1.1M2-examples.zip

or

jar xvf castor-1.1M2-examples.zip

- You can now run the examples using the directions provided in the - next section. -

3.12.3. Running the Castor JDO samples

- In the directory where you have unpacked the ZIP file you'll find a - castor-1.1M2-examples.jar. In addition, you'll find a directory named - lib where you'll find several JAR files required to - run the samples. -

To execute the samples, issue the following command:

java -jar castor-1.1M2-examples.jar

- ... et voila ! You'll see various lines of logging output flashing - by whilst the Castor JDO samples are executing against a database. -

3.12.4. What happens

- The Castor JDO sample will test persistence between a set of Java - classes (Product, ProductGroup, ProductDetail, etc.) and perform this - code against an Apache Derby instance as RDBMS. For this purpose, the - sample code will start an embedded Derby instance on the fly, create - the required tables, and then continue to execute several code - fragments using various Castor JDO artifacts (JDOManager, Database, - etc.) against this embedded database. -

- In other words, everything is self-contained and there is no need to - install a database, create a database schema, or create database tables. - Everything required for the tests is initiated and set up from within - the sample code. -

3.12.5. Hints

  • - If it is not set yet, you might have to set the - JAVA_HOME environment variable, and add the - $JAVA_HOME/bin directory to your path. -

- - - -

Chapter 4. Advanced JDO

- - - - -

4.1. Castor JDO - Caching

4.1.1. Introduction

- As explained at - the introduction to Castor JDO, - Castor has support for many advanced features such as caching. - The below sections detail the features related to caching in Castor JDO, - as their understanding is required to use Castor JDO in a performant and - secure way. -

- In general, performance caches enhance the application performance - by reducing the number of read operations against the persistence - storage, by storing and reusing the last read or committed values of - the object. Performance caches do not affect the behavior of short - transactions or locking. It only affects persistence objects that have - been released from any transactional context. -

- Starting from Castor 0.8.6, a performance cache implementation has been - added. At a technical level, Castor maintains separate (performance) caches - for each object type specified in the JDO mapping provided, allowing users - to specify - for each object type individually - the type and - capacity of the cache. -

By default, the following cache types are available:

Table 4.1. Available cache types

nameVendorVersionDistributable?Open source/commercialhigh volume/performanceAdded in release
noneBuilt-in-NoOpen SourceNo 
unlimitedBuilt-in-NoOpen SourceNo 
count-limitedBuilt-in-NoOpen SourceNo 
time-limitedBuilt-in-NoOpen SourceNo 
coherence - Tangosol - Coherence - 2.5YesCommercialYes0.9.9
jcsJCS1.2.5YesOpen sourceYes0.9.9
fkcacheFKCache1.0-beta6NoOpen SourceNo0.9.9
oscache - OSCache - 2.5YesOpen SourceNo1.0
fifoBuilt-in-NoOpen SourceYes1.0
lruBuilt-in-NoOpen SourceYes1.0
ehcacheBuilt-in-YesOpen Source?1.0.1
gigaspacesJCS5.0YesCommercialYes1.0.1

- As some of these cache providers allow for allow you to use it in a - distributed mode, this allows Castor - JDO to be used in a clustered (multi-JVM) environment. Please see the - section - below - for short summary of this feature. -

- Per definition, all build-in performance caches are - write-through, because all - changes to objects as part of a transaction should be persisted into the - cache at commit time without delay. -

- For problems related to the use of performance caches, please consult with - the relevant entries in the - JDO F.A.Q.. -

4.1.2. Caching and long transactions

- As it stands currently, performance caches also serve a dual purpose - as dirty checking caches for - long-transactions. - This limitation implies that the object's availability in the performance - cache determines the allowed time span of a long transaction. -

- This might become an issue when performance caches of type 'count-limited' or - 'time-limited' are being used, where objects will eventually be disposed. - If an application tries to update an object that has been disposed from - the dirty checking cache, an ObjectModifedException will be thrown. -

4.1.3. Configuration

- The DTD declaration is as follows: -

-<!ELEMENT cache-type  ( param* )>
-<!ATTLIST cache-type
-    type           ( none | count-limited | time-limited | unlimited |
-                     coherence | fkcache | jcache | jcs | oscache |
-                     fifo | lru | ehcache | gigaspaces ) "count-limited"
-    debug          (true|false) "false"
-    capacity       NMTOKEN  #IMPLIED>
-
-<!ELEMENT param EMPTY>
-<!ATTLIST param
-          name   NMTOKEN  #REQUIRED
-          value  NMTOKEN  #REQUIRED>

-

- With release 1.0 of Castor the DTD has changed but it is backward compatible - to the old one and allows to enable debugging of cache access for a specific - class as well as passing individual configuration parameters to each cache - instance. Only count-limited and - time-limited of the current - build-in cache types support parameters. Parameter names are case sensitive - and are silently ignored if they are unknown to a cache type. -

- It need to be noted that there are 3 parameter names that are reserved for - internal use. If you specify a parameter with one of the names: - type, name - or debug their value will silently be - overwritten with another one used internally. -

Example 4.1. Configuration sample - count-limited

- A count-limited least-recently-used - cache (LRU) for 500 objects can be specified by: -

-<cache-type type="count-limited" capacity="500"/>

or

-<cache-type type="count-limited"/>
-    <param name="capacity" value="500"/>
-</cache-type>

- If both, the capacity attribute and parameter with name="capacity" is - specified, the parameter value takes precedence over the attribute - value. -


Example 4.2. Configuration sample - time-limited

- A time-limited first-in-first-out - cache (FIFO) that expires objects after 15 minutes can be specified by: -

-<cache-type type="time-limited" capacity="900"/>

or

-<cache-type type="time-limited"/>
-    <param name="ttl" value="900"/>
-</cache-type>

- If both, the capacity attribute and parameter with name="ttl" is - specified, the parameter value takes precedence over the attribute value. -


- The debug attribute can be used to enable - debugging for objects of a single class. In addition to setting this - attribut to true you also need to set - logging level of org.castor.cache.Cache - to debug. -

[Note]Note

- The default cache-type is count-limited with a - capacity of 30. This will be used when no cache-type is specified in - the mapping for a class. -

4.1.4. fifo and lru cache providers

- The cache types fifo and - lru are based on a set of articles in the - O'Reilly Network by William Grosso, to implement a simplified and - 1.3-compatible implementation of a Hashbelt algorithm. -

- Hashbelts are simple, in principle. Instead of walking all objects and - finding out when they're supposed to expire, use a "conveyor belt" approach. - At any particular point in time, objects going into the cache go into the - front of the conveyor belt. After a certain amount of time or when the size - limit of a container has been reached, move the conveyor belt - put a new, - empty container at the front of the conveyor belt to catch new objects, and - the one that drops off of the end of the conveyor belt is, by definition, - ready for garbage collection. -

- As seen in his system, you can use a set of pluggable strategies to - implement the actual hashbelt bits. A container strategy allows you to - change out the implementation of the container itself - from simple - hashtable-based implementations, up through more complex uses of soft - referenced or hashset-based implementations, depending on what you need - and what you want it to be used for. A pluggable "expire behavior" handler - allows you to determine what action is taken on something which drops off - of the bottom of the conveyor belt. -

- In difference to all other cache types the - fifo and - lru cache types offer various configuration - options. Both of them have 6 parameters to configure their behaviour. -

Table 4.2. cache types parameters

parameterdescription
containers - The number of containers in the conveyor belt. For example: If a - box will drop off of the conveyor belt every 30 seconds, and you - want a cache that lasts for 5 minutes, you want 5 / 30 = 6 - containers on the belt. Every 30 seconds, another, clean container - goes on the front of the conveyor belt, and everything in the last - belt gets discarded. If not specified 10 containers are used by default. - - For systems with fine granularity, you are free to use a large - number of containers; but the system is most efficient when the - user decides on a "sweet spot" determining both the number of - containers to be managed on the whole and the optimal number of - buckets in those containers for managing. This is ultimately a - performance/accuracy tradeoff with the actual discard-from-cache - time being further from the mark as the rotation time goes up. - Also the number of objects discarded at once when capacity limit - is reached depends upon the number of containers. -
capacity - Maximum capacity of the whole cache. If there are, for example, ten - containers on the belt and the capacity has been set to 1000, each - container will hold a maximum of 1000/10 objects. Therefore if the - capacity limit is reached and the last container gets droped from - the belt there are up to 100 objects discarted at once. By default - the capacity is set to 0 which causes capacity limit to be ignored - so the cache can hold an undefined number of objects. -
ttl - The maximum time an object lifes in cache. If the are, for example, - ten containers and ttl is set to 300 seconds (5 minutes), a new - container will be put in front of the belt every 300/10 = 30 seconds - while another is dropped at the end at the same time. Due to the - granularity of 30 seconds, everything just until 5 minutes 30 - seconds will also end up in this box. The default value for ttl - is 60 seconds. If ttl is set to 0 which means that objects life - in cache for unlimited time and may only discarded by a capacity - limit. -
monitor - The monitor intervall in minutes when hashbelt cache rports the - current number of containers used and objects cached. If set to 0 - (default) monitoring is disabled. -
container-class - The implementation of - org.castor.cache.hashbelt.container.Container - interface to be used for all containers of the cache. - Castor provides the following 3 implementations of the Container - interface. -
  • - org.castor.cache.hashbelt.container.FastIteratingContainer -

  • - org.castor.cache.hashbelt.container.MapContainer -

  • - org.castor.cache.hashbelt.container.WeakReferenceContainer -

- If not specified the MapContainer will be used as default. -
reaper-class - Specific reapers yield different behaviors. The GC reaper, - the default, just dumps the contents to the garbage collector. - However, custom implementations may want to actually do something - when a bucket drops off the end; see the javadocs on other available - reapers to find a reaper strategy that meets your behavior - requirements. Apart of the default - org.castor.cache.hashbelt.reaper.NullReaper we provide - 3 abstract implementations of - org.castor.cache.hashbelt.reaper.Reaper interface: -
  • - - org.castor.cache.hashbelt.reaper.NotifyingReaper - -

  • - - org.castor.cache.hashbelt.reaper.RefreshingReaper - -

  • - - org.castor.cache.hashbelt.reaper.ReinsertingReaper - -

- to be extended by your custom implementation. -

Example 4.3. Configuration sample - fifo

- A fifo cache with default values - explained above is specified by: -

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="fifo"/>
-       ...
-    </class>
-    ...
-</mapping>

Example 4.4. Configuration sample - lru

- A lru cache with capacity=300 and - ttl=300 is defined by: -

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="lru" capacity="300"/>
-       ...
-    </class>
-    ...
-</mapping>

or better by:

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="lru">
-          <param name="capacity" value="300"/>
-          <param name="ttl" value="300"/>
-       </cache-type>
-       ...
-    </class>
-    ...
-</mapping>

Example 4.5. Configuration sample - fifo (custommized)

An example of a customized configuration of a fifo cache is:

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-       <cache-type type="fifo"/>
-          <param name="container" value="10"/>
-          <param name="capacity" value="1000"/>
-          <param name="ttl" value="600"/>
-          <param name="monitor" value="5"/>
-          <param name="container-class" value="org.castor.cache.hashbelt.container.WeakReferenceContainer"/>
-          <param name="reaper-class" value="org.castor.cache.hashbelt.reaper.NullReaper"/>
-       </cache-type>
-       ...
-    </class>
-    ...
-</mapping>

4.1.5. Caching and clustered environments

- All of the cache providers added with release 0.9.9 are distributed caches - per se or can be configured to operate in such a mode. This effectively - allows Castor JDO to be used in a clustered J2EE (multi-JVM) environment, - where Castor JDO runs on each of the cluster instances, and where cache - state is automatically snychronized between these instances. -

- In such an environment, Castor JDO wil make use of the underlying cache - provider to replicate/distribute the content of a specific cache between - the various JDOManager instances. Through the distribution mechanism of - the cache provider, a client of a Castor JDO instance on one JVM will see - any updates made to domain objects performed against any other JVM/JDO - instance. -

Example 4.6. Configuration sample - Coherence

The following class mapping, for example, ...

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-        <cache-type type="coherence" />
-       ...
-    </class>
-    ...
-</mapping>

- defines that for all objects of type - com.xyz.MyOtherObject Tangosol's - Coherence cache provider should - be used. -


Example 4.7. Configuration sample - Gigaspaces

The following class mapping, for example, ...

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-        <cache-type type="gigaspaces" />
-       ...
-    </class>
-    ...
-</mapping>

- defines that for all objects of type - com.xyz.MyOtherObject the - Gigaspaces cache provider should - be used. As Gigspaces supports various cache and clsuer modes, this - cache provider allows product-specific configuration as shown below: -

-<mapping>
-    ...
-    <class name="com.xyz.MyOtherObject">
-       ...
-        <cache-type type="gigaspaces" >
-           <param name="spaceURL" value="/./" />
-           <param name="spaceProperties" value="useLocalCache" />
-        </cache-type>
-       ...
-    </class>
-    ...
-</mapping>

4.1.6. Custom cache provider

- As of release 0.9.6, Castor allows for the addition of user-defined cache - implementations. Whilst Castor provides a set of pre-built cache providers, - offering a variety of different cache algorithms, special needs still might - require the application developer to implement a custom cache - algorithm. Castor facilitates such need by making available standardized - interfaces and an easy to understand recipe for integrating a custom - cache provider with Castor. -

- As explained in org.exolab.castor.jdo.persist - (API docs for the persists package), - org.exolab.castor.persist.LockEngine implements - a persistence engine that caches objects in memory for performance reasons - and thus reduces the number of operations against the persistence storage. -

- The main component of this package is the interface - org.castor.cache.Cache, which declares the external - functionality of a (performance) cache. Existing (and future) cache - implementations (have to) implement this interface, which is closely - modelled after the java.util.Map interface. -

- Below is a summary of the steps required to build a custom cache provider - and register it with Castor JDO: -

-

  1. - Create a class that implements - org.exolab.castor.persist.cache.Cache. -

  2. - Create a class that implements - org.exolab.castor.persist.cache.CacheFacto -

  3. - Register your custom cache implementation with Castor JDO in the - castor.properties file. -

-

4.1.6.1. Cache implementation

- Please create a class that implements the interface - org.exolab.castor.persist.cache.Cache">Cache. -

- To assist users in this task, a - org.castor.cache.AbstractBaseCache - class has been supplied, which users should derive their custom - org.castor.cache.Cache instances - from, if they wish so. Please consult existing - org.castor.cache.Cache implementations such as - org.castor.cache.simple.TimeLimited} or - org.castor.cache.simple.CountLimited - for code samples. -

-/**
- * My own cache implementation
- */ 
- public class CustomCache extends AbstractBaseCache {
- 
-    ...
-    
- }

4.1.6.2. CacheFactory implementation

- Please add a class that imnplements the - org.castor.cache.CacheFactory interface - and make sure that you provide valid values for the two - properties name and className. -

- To assist users in this task, a - org.castor.cache.AbstractCacheFactory - class has been supplied, which users should derive their custom - org.castor.cache.CacheFactory instances - from, if they wish so. Please consult existing - org.castor.cache.CacheFactory implementations - such as org.castor.cache.simple.TimeLimitedFactory} or - org.castor.cache.simple.CountLimitedFactory - for code samples. -

-/**
- * My own cache factory implementation
- */ 
- public class CustomCacheFactory extends AbstractCacheFactory {
- 
-    /**
-     * The name of the factory
-     */
-    private static final String NAME = "custom";
-
-    /**
-     * Full class name of the underlying cache implementation.
-     */
-    private static final String CLASS_NAME = "my.company.project.CustomCache"; 
-    
-    /**
-     * Returns the short alias for this factory instance.
-     * @return The short alias name. 
-     */
-    public String getName() {
-        return NAME;
-    }
-    
-    /**
-     * Returns the full class name of the underlying cache implementation.
-     * @return The full cache class name. 
-     */
-    public String getCacheClassName() {
-        return CLASS_NAME;   
-    }
-    
- }

4.1.6.3. Configuration

- The file castor.properties holds a property - org.castor.cache.Factories that enlists the available - cache types through their related CacheFactory instances. -

-# 
-# Cache implementations
-# 
-org.castor.cache.Factories=\
-  org.castor.cache.simple.NoCacheFactory,\
-  org.castor.cache.simple.TimeLimitedFactory,\
-  org.castor.cache.simple.CountLimitedFactory,\
-  org.castor.cache.simple.UnlimitedFactory,\
-  org.castor.cache.distributed.FKCacheFactory,\
-  org.castor.cache.distributed.JcsCacheFactory,\
-  org.castor.cache.distributed.JCacheFactory,\
-  org.castor.cache.distributed.CoherenceCacheFactory,\
-  org.castor.cache.distributed.OsCacheFactory,\
-  org.castor.cache.hashbelt.FIFOHashbeltFactory,\
-  org.castor.cache.hashbelt.LRUHashbeltFactory

- To add your custom cache implementation, please append the - fully-qualified class name to this list as shown below: -

-# 
-# Cache implementations
-# 
-org.castor.cache.Factories=\
-  org.castor.cache.simple.NoCacheFactory,\
-  org.castor.cache.simple.TimeLimitedFactory,\
-  org.castor.cache.simple.CountLimitedFactory,\
-  org.castor.cache.simple.UnlimitedFactory,\
-  org.castor.cache.distributed.FKCacheFactory,\
-  org.castor.cache.distributed.JcsCacheFactory,\
-  org.castor.cache.distributed.JCacheFactory,\
-  org.castor.cache.distributed.CoherenceCacheFactory,\
-  org.castor.cache.distributed.OsCacheFactory,\
-  org.castor.cache.hashbelt.FIFOHashbeltFactory,\
-  org.castor.cache.hashbelt.LRUHashbeltFactory,\
-  org.whatever.somewhere.nevermind.CustomCache

4.1.7. CacheManager - monitoring and clearing caches

- Sometimes it is necessary to interact with Castor's (performance) caches to - e.g. (selectively) clear a Castor cache of its content, or inquire about - whether a particular object instance (as identified by its identity) is - cached already. -

- For this purpose a - org.exolab.castor.jdo.CacheManager can - be obtained from a org.exolab.castor.jdo.Database - instance by issuing the following code: -

-	  
-JDO jdo = ....;
-Database db = jdo.getDatabase();
-CacheManager manager = db.getCacheManager();
-	  

- This instance can subsequently be used to selectively clear the - Castor performance cache using one of the following methods: -

-

  • - org.exolab.castor.jdo.CacheManager.expireCache() -

  • - org.exolab.castor.jdo.CacheManager.expireCache(Class,Object) -

  • - org.exolab.castor.jdo.CacheManager.expireCache(Class,Object[]) -

  • - org.exolab.castor.jdo.CacheManager.expireCache(Class[]) -

-

- To inquire whether an object has already been cached, please use the - following method: -

-

  • - org.exolab.castor.jdo.CacheManager.isCached (Class, Object); -

-

- Please note that once you have closed the Database instance from which you - have obtained the CacheManager, the CacheManager cannot be used anymore and - will throw a - org.exolab.castor.jdo.PersistenceException. -

-

4.2. OQL to SQL translator

4.2.1. News

- Release 0.9.6: -

  • - Added support for LIMIT clause for MS SQL Server. -

  • - In the case a RDBMS does not support LIMIT/OFFSET clauses, a - SyntaxNotSupportedException is thrown. -

  • - Added support for a limit clause and an offset clause. - Currently, only HSQL, mySQL and postgreSQL are supported. -

  • - Added an - example - section. -

-

4.2.2. Status

- The Castor OQL implementation is currently in phase 3 of development. -

[Note]Note

- This documentation is not yet finished -

4.2.3. Introduction

- This document describes an OQL to SQL translator to be added to the - Castor JDO Java object - Persistence API. - The translator will accept OQL queries passed as strings, and generate - a parse tree of the OQL. It will then traverse the tree creating the - appropriate SQL. The user will then be able to bind parameters to - parameterized queries. Type checking will be performed on the bound - parameters. When the user executes the query, the system will submit - the query to the SQL database, and then postprocess the SQL resultset - to create the appropriate result as a Java Object or literal. The - current org.exolab.castor.mapping and - org.exolab.castor.persist packages will be used - for metadata and RDBMS communication. -

- Four of the (now defunct) SourceXchange milestones for this project - call for java source code. These milestones will be referred to here - as phase 1, 2, 3, and 4. There are many possible OQL features that - can be supported, but weren't discussed in the proposal or RFP. - Many of these are probably unwanted. These additional features are - specified as phase 5, which is out of the scope of this SourceXChange - project. -

4.2.4. Overview

- The parser will construct a parse tree as output from an OQL query - string given as input. The OQL syntax is a subset of the syntax - described in the ODMG 3.0 - specification section 4.12, with some additional constructs. - Following is a description of the supported OQL syntax, and its SQL - equivalent. -

- Certain features of OQL may not be directly translatable to SQL, but - may still be supported, by post processing the query. For example, the - first() and - last() collection functions supported - in OQL are not directly translatable to standard SQL, but a resultset - can be post-processed to return the appropriate values. Features - requiring post-processing of SQL resultsets will be documented as such - below. -

- Currently the OQLQuery checks for correct syntax at the same time as - it does type checking and other types of error checking. The new code - will involve a multiple pass strategy, with the following passes: -

  1. - Parse the String query checking for syntax errors, and return - a parse tree. -

  2. - Traverse the parse tree checking for correct types, valid - member and method identifiers, and use of features which are - unsupported. This pass may also generate some data necessary - for creating the SQL. -

  3. - Traverse the tree one final time, creating the equivalent SQL - statement to the OQL Query originally passed. -

-

4.2.5. Syntax

- This section describes the first pass which will be done by the - parser. The parser will create a StringTokenizer like this: -

-StringTokenizer tokenizer
-    = new StringTokenizer(oql,
-    "\n\r\t,.()[]+-*/<>=:|$", true);

- This will create a StringTokenizer with the delimiter - characters listed in the second argument, and it will return delimeters - as well as tokens. The parser will also create a Vector to be used as a - token buffer. As tokens are returned from the StringTokenizer they will - be added to the Vector. Older tokens will be removed from the Vector - when it reaches a certain size. The Vector will also be modified when - the StringTokenizer returns multi character operators as seperate - tokens, for example the -> method invocation operator. -

- The parser will consume tokens from the StringTokenizer, generating a - ParseTree. Each ParseTree node will have a nodeType corresponding to - its symbol in the OQL syntax. After each node is created it will look - at the next token and act acordingly, either modifying its properties - (i.e. for DISTINCT property of selectExpr), creating a new child node - or returning an error. If the error travels up to the root node of the - ParseTree, there is a syntax error in the OQL submitted. At the end of - this pass, the ParseTree will contain an apropriate representation of - the query, which will be analyzed, and used to create SQL. Below is - the modified EBNF which will be the Castor OQL syntax. -

-

-query                   ::= selectExpr
-                            | expr
-
-selectExpr              ::= select [distinct] 
-                            projectionAttributes
-                            fromClause
-                            [whereClause]
-                            [groupClause]
-                            [orderClause]
-                            [limitClause [offsetClause]]
-
-projectionAttributes    ::= projectionList
-                          | *
-
-projectionList          ::= projection {, projection }
-
-projection              ::= field
-                          | expr [as identifier]
-
-fromClause              ::= from iteratorDef {, iteratorDef}
-
-iteratorDef             ::= identifier [ [as ] identifier ]
-                          | identifier in identifier
-
-whereClause             ::= where expr
-
-groupClause             ::= group by fieldList {havingClause}
-
-havingClause            ::= having expr
-
-orderClause             ::= order by sortCriteria
-
-limitClause             ::= limit  queryParam
-
-offsetClause            ::= offset queryParam
-
-sortCriteria            ::= sortCriterion {, sortCriterion }
-
-sortCriterion           ::= expr [ (asc | desc) ]
-
-expr                    ::= castExpr
-
-castExpr                ::= orExpr
-                            | ( type ) castExpr
-
-orExpr                  ::= andExpr {or andExpr}
-
-andExpr                 ::= quantifierExpr {and quantifierExpr}
-
-quantifierExpr          ::= equalityExpr
-                            | for all inClause : equalityExpr
-                            | exists inClause : equalityExpr
-
-inClause                ::= identifier in expr
-
-equalityExpr            ::= relationalExpr
-                            {(= | !=) 
-                                [compositePredicate] relationalexpr }
-                            | relationalExpr {like relationalExpr}
-
-relationalExpr          ::= additiveExpr
-                            {(< | <= 
-                                | > | >= ) 
-                                    [ compositePredicate ] additiveExpr }
-                                | additiveExpr between 
-                                    additiveExpr and additiveExpr
-
-compositePredicate      ::= some | any | all
-
-additiveExpr            ::= multiplicativeExpr
-                                {+ multiplicativeExpr}
-                            | multiplicativeExpr
-                                {- multiplicativeExpr}
-                            | multiplicativeExpr
-                                {union multiplicativeExpr}
-                            | multiplicativeExpr
-                                {except multiplicativeExpr}
-                            | multiplicativeExpr
-                                {|| multiplicativeExpr}
-
-multiplicativeExpr      ::= inExpr {* inExpr}
-                            | inExpr {/ inExpr}
-                            | inExpr {mod inExpr}
-                            | inExpr {intersect inExpr}
-
-inExpr                  ::= unaryExpr {in unaryExpr}
-
-unaryExpr               ::= + unaryExpr
-                            | - unaryExpr
-                            | abs unaryExpr
-                            | not unaryExpr
-                            | postfixExpr
-
-postfixExpr             ::= primaryExpr{[ index ]}
-                            | primaryExpr
-                            {(. | ->)identifier[arglist]}
-
-index                   ::= expr {, expr}
-                            | expr : expr
-
-argList                 ::= ([ valueList ])
-
-primaryExpr             ::= conversionExpr
-                            | collectionExpr
-                            | aggregateExpr
-                            | undefinedExpr
-                            | collectionConstruction
-                            | identifier[ arglist ]
-                            | queryParam
-                            | literal
-                            | ( query )
-
-conversionExpr          ::= listtoset( query )
-                            | element( query )
-                            | distinct( query )
-                            | flatten( query )
-
-collectionExpr          ::= first( query )
-                            | last( query )
-                            | unique( query )
-                            | exists( query )
-
-aggregateExpr           ::= sum( query )
-                            | min( query )
-                            | max( query )
-                            | avg( query )
-                            | count(( query | * ))
-
-undefinedExpr           ::= is_undefined( query )
-                            | is_defined( query )
-
-fieldList               ::= field {, field}
-
-field                   ::= identifier: expr
-
-collectionConstruction  ::= array([valueList])
-                            | set([valueList])
-                            | bag([valueList])
-                            | list([valueList])
-                            | list(listRange)
-
-valueList               ::= expr {, expr}
-
-listRange               ::= expr..expr
-
-queryParam              ::= $[(type)]longLiteral
-
-type                    ::= [unsigned] short
-                            | [unsigned] long
-                            | long long
-                            | float
-                            | double
-                            | char
-                            | string
-                            | boolean
-                            | octet
-                            | enum [identifier.]identifier
-                            | date
-                            | time
-                            | interval
-                            | timestamp
-                            | set <type>
-                            | bag <type>
-                            | list <type>
-                            | array <type>
-                            | dictionary <type, type>
-                            | identifier
-
-identifier              ::= letter{letter| digit| _}
-
-literal                 ::= booleanLiteral
-                            | longLiteral
-                            | doubleLiteral
-                            | charLiteral
-                            | stringLiteral
-                            | dateLiteral
-                            | timeLiteral
-                            | timestampLiteral
-                            | nil
-                            | undefined
-
-booleanLiteral          ::= true
-                            | false
-
-longLiteral             ::= digit{digit}
-
-doubleLiteral           ::= digit{digit}.digit{digit}
-                            [(E | e)[+|-]digit{digit}]
-
-charLiteral             ::= 'character'
-
-stringLiteral           ::= "{character}"
-
-dateLiteral             ::= date
-                                'longliteral-longliteral-longliteral'
-
-timeLiteral             ::= time
-                                'longliteral:longLiteral:floatLiteral'
-
-timestampLiteral        ::= timestamp
-                                'longLiteral-longLiteral-longLiteral
-                                longliteral:longLiteral:floatLiteral'
-
-floatLiteral            ::= digit{digit}.digit{digit}
-
-character               ::= letter
-                            | digit
-                            | special-character
-
-letter                  ::= A|B|...|Z|
-                            a|b|...|z
-
-digit                   ::= 0|1|...|9
-
-special-character       ::= ?|_|*|%|\
-               

-

- The following symbols were removed from the standard OQL Syntax for - the following reasons: - -

  • - andthen: Cannot be implemented in - a single SQL query. -

  • - orelse: Same as above. -

  • - import: This is advanced - functionality which may be added later. This phase will use the - castor mapping mechanism to define the namespace. -

  • - Defined Queries: This is another feature - which can be added later. It is unclear where the queries would be - stored, and what their scope would be seeing as how this project - is an OQL to SQL translator, and not an ODBMS. -

  • - iteratorDef was changed so that all - instances of expr were replaced by identifier. This means that the - from clause can only contain extent names (class names), rather - than any expression. This is the most common case and others could - create complicated SQL sub-queries or post-processing - requirements. -

  • - objectConstruction and - structConstruction were removed. What is the scope of the - constructed object or struct, and how is a struct defined in Java? -

-

- The following symbols were added or modified. -

  • - between added to relationalExpr. -

  • - Optional type specification added to - queryParam. -

-

- The rest of the standard OQL syntax remains unchanged. - Certain syntactically correct queries may not be supported in Castor. - For example, top level expressions which do not contain a selectExpr - anywhere in the query may not be supported. This will be discussed - further in the next section. -

4.2.6. Type and validity checking

- The first pass over the ParseTree will do type checking, and create some - structures used in the SQL generation pass. It will also check whether - the identifiers used are valid, and whether the query uses unsupported - features. The following table describes each type of node in the - ParseTree, and how it will be processed in the first pass. -

-

Table 4.3. The first pass

expr -
  • - A query whose top level element is an expr, rather - than a selectExpr will not be supported within the - scope of this project. These queries can either be - stated as a selectExpr, like aggregateExpr's, or - they would require post-processing of the SQL - results, like - element() - first() and - last(). -

-
Phase 5
projectionAttributes -
  • - select * will return a Collection of Arrays of Objects. -

-
Phase 5
projectionList -
  • - Selecting multiple fields will return a Collection - of Arrays of Objects. -

  • - When there are multiple fields selected, - a list of field names and aliases will be kept for - checking validity of expr's in the whereClause, - groupClause, and orderClause. -

-
Phase 5
projection -
  • Alias identifier will be stored.

  • - expr in projection may only be identifier, - without an arglist. -

-
Phase 1
projection -
  • - expr in projection may only be identifier - (with optional argList), aggregateExpr, undefinedExpr, - and postfixExpr (for selecting fields and accessors). -

  • - The subquery in aggregateExpr and undefinedExpr can be - identifier (with optional arglist), or postfixExpr for - applying these functions to fields and accessors. -

  • - If an identifier before the - . or - -> contains an - arglist, it will be considered a SQL function, and - passed through to the RDBMS. -

  • - If the postfixExpr contains one of the above - operators, the mapping mechanism will be used - to determine if the path expression is valid - and to generate a list of required join tables, - using the manyKey and manyTable from the - JDOFieldDescriptor. -

-
Phase 2
fromClause -
  • - The class of the extent being selected from will be - stored, and ClassDescriptor objects will be - instantiated. -

-
Phase 1
whereClause -
  • - expr in whereClause may onlycontain orExpr, - andExpr, equalityExpr (without compositePredicate), - relationalExpr, additiveExpr (without set operators - union and - except), - multiplicativeExpr (without set operator - intersect), - unaryExpr, postFixExpr (must be only primaryExpr, - no array or property reference or method calls). -

  • - primaryExpr may only contain identifier (without an - argList), literal and queryParam. Identifier will - be checked against object name and alias in - projectionList. -

  • - For equalityExpr, relationalExpr, aditiveExpr, - multiplicativeExpr, the left side and right side - expr's must evaluate to comparable types. -

  • - For unaryExpr, simple type checking for numerical - or character based types will be performed. -

  • - If the operands for any of the relational, - equality, additive, multiplicative, or unary - operators is a query parameter, an expected type - will be determined. If the parameter included a - specified type which is incompatible with the - system determined type, an error will be generated. -

-
Phase 1
whereClause -
  • - Support for built in OQL functions will be added - to the whereClause: is_defined, is_undefined. -

  • inExpr will be supported in whereClause.

  • - inExpr will only allow collectionConstruction for - the right side argument to - in. No subQueries - will be allowed. -

-
Phase 2
whereClause -
  • - identifiers will be able to contain an - optional arglist. If the arglist is before a - . or - -> the - identifier will be considered a SQL function and - will be passed through to the DBMS. Otherwise, - the identifier will be for an accessor method, - or a property name. -

  • - Accessor methods and property references will cause - a check through the ClassDescriptor and - FieldDescriptors for the object type, and the - required join tables. -

-
Phase 3
whereClause -
  • - compositePredicate will be suported in equalityExpr. -

  • exists(query) will be supported.

  • - quantifierExpr will support - for all and - exists. -

  • - Subqueries will be supported on the right side of - the in operator. -

-
Phase 4
groupClause, havingClause -
  • - Will identify appropriate fields - in SQL schema for each expr. -

  • aggregateExpr will be supported.

  • - Only expr's which translate to SQL columns which - are already being selected will be supported. -

-
Phase 4
orderClause -
  • - May only contain expr's which translate into SQL - columns which are already being selected. -

-
Phase 3


-

4.2.7. SQL Generation

- After the first pass, the ParseTree is free of errors, and ready for - the SQL generation step. The existing implementation of the OQLParser - uses the persistence API for SQL generation. This API lacks the - necessary features to generate SQL from any OQL. The SQLEngine class - which implements Persistence is used to create a JDBCQueryExpression. - The SQL is derived from the finder, which is a JDBCQueryExpression - produced by the SQLEngine. The problem is that the SQLEngine only - supports single objects. It cannot generate SQL for path expressions - like this: -

-select p.address from Person p 

- - This query requires a SQL statement like this: -

-select address.* from person, address
-    where person.address_id = address.address_id

- The buildFinder method should not be used to generate a - queryExpression. The SQLEngine should be used to get a ClassDescriptor, - and to create a new QueryExpression. The OQLParser should use the - methods in the QueryExpression to generate the SQL. The - JDBCQueryExpression which is an implementation of QueryExpression is - also lacking in necessary features. This class should continue to be - used, but the following features will need to be added: -

addColumn(String)

- For adding something to select without specifying the tablename, - for use with functions (i.e. select count(*)) -

addTable(String)

For when the table has to be added manually.

addCondition(String)

- Add a condition created outside the class, for nested - expressions, and other expressions that are not of the form - table.column op table.column. -

setDistinct(boolean)

Used for select distinct.

- addOrderColumn(String tableName, String columnName, boolean desc) -

Used for order by

addGroupExpr(String)

Used for group by

addHavingExpr(String)

Used for having.

-

- The following table lists each type of tree node, and how it will be - processed in the SQL generation pass. -

-

Table 4.4. SQL generation pass

selectExpr -
  • - distinct in the selectExpr will result in a call to - setDistinct(true) in the queryExpr. -

-
Phase 2
projection -
  • - The queryExpr will be populated with the columns - and tables necessary to retrieve the object. This - will use code similar to SQLEngine.addLoadSql(...). -

-
Phase 1
projection -
  • - aggregateExpr and SQL functions - will be passed to addColumn. -

  • - undefinedExpr will be translated to - is null and - is not null -

  • - postfixExpr (for selecting fields and - accessors) will result in a different group - of select expressions and "from tables" being - generated. -

-
Phase 2
whereClause -
  • - Entire expr in where clause will be translated, - and then added to the QueryExpr, using a single - call to addCondition(String), and multiple - calls to addTable(String). -

-
Phase 1
whereClause -
  • - is_defined() - will translate into - is not null - and - is_undefined() - will translate into - is null. -

  • - inExpr will translate directly, with the - collectionConstruction removed. -

-
Phase 2
whereClause -
  • - compositePredicate and exists(query) - translate directly to SQL. -

  • - For quantifierExpr, - exists - will translate into an exists() SQL subquery. - for all - will translate into the contrapositive(?) - exists query, for example: - -

    -	for all x in teachers:
    -	    x.name = 'Nis'

    - translates to: -

    -	not exists (select * from teachers
    -	    where name != 'Nis')

    -

-
Phase 4


-

4.2.8. OQL FAQ

- Please see the OQL section - of the JDO FAQ. -

4.2.9. Summary

- The Parser and ParseTree classes will be improved through the phases - of this project. The top level of OQL to SQL translation will look very - simple, like this: -

-OQLParser parser = new OQLParser(query);
-ParseTree pt = parser.getParseTree();
-pt.checkPass();
-//the SQL generation pass
-_expr = pt.getQueryExpr();
-            

- - These methods will have some additional parameters passed - for storing and retrieving data relevant to the query. Following is a - table containing a list of what will be introduced in each coding phase - of the project. -

-

Table 4.5. Coding phases

Phase 1 -
  • - New parser structure which generates symbol tree -

  • - Parser still supports only limited OQL -

  • selected field aliases

  • - whereClause supports or, and, equality, - additive, multiplicative, and unary Operators. -

  • support for specifying parameter types

  • - check specified parameter type - against system determined type -

  • specifying ordered parameters.

  • - JDBCQueryExpression must support - addCondition(String condition) -

-
Phase 2 -
  • - Distinct keyword will be supported in selectExpr -

  • - aggregateExpr and undefinedExpr supported in - projection (Select statement) -

  • isDefined, isUndefined in whereClause

  • inExpr in whereClause

  • type checking/conversion in bind()

  • - fields and accessors in the - projection. Mapping mechanism may need some additional - features. -

  • SQL functions in the projection

  • order by

-
Phase 3 -
  • fields and accessors in whereClause

  • SQL functions in the where clause

-
Phase 4 -
  • sub queries

  • exists()

  • compositePredicate

  • quantifierExpr's: for all and exists

  • group by

  • having

-
Phase 5: -
  • expr as top level symbol

  • - queries selecting multiple fields or as - comma separated list or * -

-


-

4.2.10. Examples

- Please find below various examples of OQL queries using the Java class files - as outlined below. -

4.2.10.1. Java class files

- The following fragment shows the Java class declaration for the - Product class: -

-package myapp;
-
-public class Product 
-{
-    private int       _id;
-
-    private String    _name; 
-
-    private float     _price; 
-
-    private ProductGroup _group;
-
-
-    public int getId() { ... }
-    public void setId( int anId ) { ... }
-
-    public String getName() { ... }
-    public void setName( String aName ) { ... }
-
-    public float getPrice() { ... }
-    public void setPrice( float aPrice ) { ... }
-
-    public ProductGroup getProductGroup() { ... }
-    public void setProductGroup( ProductGroup aProductGroup ) { ... }
-}
-	  

- The following fragment shows the Java class declaration for the - ProductGroup class: -

-
-public class ProductGroup
-{
-
-    private int       _id;
-
-    private String    _name;
-
-    public int getId() { ... }
-    public void setId( int id ) { ... }
-
-    public String getName() { ... }
-    public void setName( String name ) { ... }
-
-}
-         

4.2.10.2. Limit Clause

- On a selected number of RDBMS, Castor JDO now supports the use of - LIMIT/OFFSET clauses. -

- As per this release, the following RDBMS have full/partial support for this - feature. -

Table 4.6. Limit support

RDBMSLIMITOFFSET
postgreSQLYesYes
mySQLYesYes
Oracle - 1)2)YesYes
HSQLYesYes
MS SQLYes-
DB2Yes-

- 1) Oracle has full support for LIMIT/OFFSET clauses for release 8.1.6 and - later. -

- 2) For the LIMIT/OFFSET clauses to work properly the OQL query is required - to include a ORDER BY clause. -

- The following code fragment shows an OQL query that uses the LIMIT keyword - to select the first 10 ProductGroup instances. -

-query = db.getOQLQuery("select p from ProductGroup as p LIMIT $1");
-query.bind(10);
-         

- Below is the same OQL query again, restricting the number of ProductGroup instances - returned to 10, though this time it is specified that the ProductGroup - instances 11 to 20 should be returned. -

-query = db.getOQLQuery ("select p from ProductGroup as p LIMIT $1 OFFSET $2");
-query.bind(10);
-         

- In the case a RDBMS does not support LIMIT/OFFSET clauses, a - SyntaxNotSupportedException will be thrown. -

-

4.3. Transaction And Locking Modes

Assaf Arkin - () -

4.3.1. The JDO Model

- In order to understand how the JDO transaction model affects applications - performance and transactional integrity, you must first understand the semantics - of the Java Data Objects. Java Data Objects are objects loaded from and stored - to the database, but are disassociated from the database itself. That is, once an - object has been loaded into memory, changes to the object in memory are not - reflect in the database until the transaction commits. -

- The following table shows a sample code and the state of the JDO object and - the relevant database field: -

Table 4.7. JDO objects

CodeObject valueRecord value
results = oql.execute();N/AX
obj = results.next();XX
obj.setValue( Y );YX
db.commit();YY

- Concurrency conflicts do not occur when an object is changed in memory, - but rather when the transaction commits and changes are saved back to the - database. No changes are saved if the transaction rolls back. -

- Conflicts could occur if two threads attempted to modify the same object, - or the same thread receives two objects associated with the same database - record and performs different changes to each object. Castor solves these - issues through a transaction-object-identity association. -

- When the same transaction attempts to query the same database record twice, - (e.g. as the result of two different queries) the same object is returned, - assuring that different changes will be synchronized through the same - object. -

- When two transactions attempt to query the same database record, each - transaction receives a different object mapping to the same record, - assuring that changes done in one transaction are not visible to the - other transactions. Changes should only become visible when the - transaction commits and all its changes are made durable. -

- This approach places the responsibility of synchronization and deadlock - detection on the Castor persistence engine, easing the life of the - developer. -

4.3.2. Locking Modes

- Concurrent access requires use of locking to synchronize two transactions - attempting to work with the same object. The locking mechanism has to take into - account several possible use of objects, as well as help minimize database access - through caching and is-modified checking. -

- Locking modes are declared in the - class element of the XML mapping on a per class basis. -

4.3.2.1. Access mode: Shared

- The shared mode is the default for all objects, unless otherwise specified in the - mapping file. Shared mode allows two transactions to read the same record at the - same time. Each transaction will get it's own view of the record as a separate - object, to prevent in-memory changes from conflicting with each other. However, - the values loaded from the database are the same for both transactions. -

- When transactions query different objects or query the same objects but for - read-only purposes, shared access provides the most efficient means of access - in terms of performance, utilizing record caching and eliminating lock - contention. For example, when each transaction retrieves a different Customer - record and all transactions retrieved the same set of Department records but - hardly ever change them, both Customer and Department should be declared as - having a shared lock. -

- However, when two transactions attempt to access the same object, modify it, - and commit the changes, a concurrency conflict will occur. Some concurrency - conflicts can lead to one of the transactions aborting. For example, if two - transactions happen to load the same Account object with a balance of X, - one adds 50 and the other adds 60, if both were allowed to commit the changes - the new account balance will be either X+50 or X+60, but not X+110. -

- In the above case either exclusive or db-locked modes should be used to - reduce potential conflicts. However exclusive and db-locked modes may cause - the application to perform slower due to lock contention and should not be - used as the general case. In rare cases conflicts may occur where shared - locks are the preferred choice, e.g. when two transactions attempt to - modify the same Department object, or somehow get hold of the same Customer - records. -

- Castor detects such conflicts as they occur and uses two mechanisms to - deal with them: write locks and deadlock detection. When a transaction commits - Castor first tries to determine whether the object has been modified from - it's known state (i.e. during query). If the object has not been modified, - Castor will not attempt to store the object to the database. If the object - has been modified, Castor acquires a write lock on the object preventing - other transactions from accessing the object until the current transaction - completes storing all changes to the database. A write lock prevents other - transactions from acquiring either a write or read lock, preventing them - from accidentally loading a dirty image of the object. -

- If the second transaction has a read lock on the object, the current - transaction will block until the second transaction releases the lock, - either by rolling back or by not modifying its object. If the other - transaction modifies the object and attempts to store it, a deadlock - occurs. If both transactions have a read lock, both require a write lock in - order to proceed and neither can proceed until the other terminates. -

- Castor detects such deadlock occurences and causes the second transaction - to rollback, allowing the first transaction to commit properly. Such - conflicts do not happen often, but when they happen some transactions will - fail. The application developer should either be aware of the possibility - of failing, or choose to use a more severe lock type. -

- Conflicts occur not just from other Castor transactions, but also from - direct database access. Consider another application modifying the exact - same record through direct JDBC access, or a remote server connecting to - the same database. To detect such conflicts Castor uses a dirty checking - mechanism. -

- When an object is about to be stored, Castor compares the current values - in the database records with those known when the object was originally - loaded from the database. Any changes are regarded as dirty fields and - cause the transaction to rollback with the proper error message. -

- Not all fields are necessarily sensitive to dirty checking. The balance - in a bank account is a sensitive field, but the date of the last transaction - might not be. Since the date does not depend on the original value of the - account, but on the last modification to it, dirty checking can be avoided. -

- A field marked with dirty="ignore" will not take part in dirty - checking. Furthermore, modifications to such a field will not require a - write lock on the object, further improving throughput. Marking fields as - non-dirty should be done with extreme care. -

4.3.2.2. Access mode: Exclusive

- The exclusive mode assures that no two transactions can use the same - record at the same time. Exclusive mode works by acquiring a write lock in - memory and synchronizing transactions through a lock mechanism with configured - timeout. -

- Using in-memory locks, exclusive access provides some transaction synchronization - that is efficient in terms of performance and increases the chance of a commit - being successful. It does not, however, guarantee commit. Since the lock is - acquired by Castor, it can be used to synchronize Castor access, but other forms - of direct database access may still modify the database record. -

- When a transaction obtains an object that was specified as exclusive access - in the mapping file or when performing a query, Castor will always obtain a - write lock on that object. The write lock will prevent a second transaction - from being able to access the object either for read or write, until the current - transaction commits. If the object is already being accessed by another - transaction, the current transaction will block until the other transaction - commits and release the lock. -

- It is possible to upgrade from a shared to an exclusive lock by calling the - org.exolab.castor.jdo.Database.lock(java.lang.Object) - method. This method can be used with shared objects when the application - wants to assure that other transactions will be blocked and changes can be - made to the current object. -

- Because direct database access can modify the same record as represented by - an exclusive locked object, Castor uses dirty checking when updating the - database. Dirty checking does not have a severe affect on performance, and can - be disabled by marking all the fields of the object with dirty="ignore". -

- To reduce the possibility of dirty reads, Castor will always synchronize - exclusive locked objects with the database at the beginning of a transaction. - That is, when an object is loaded the first time in a transaction with an - exclusive lock, Castor will retrieve a fresh copy of the object from the - database. Castor will not, however, refresh the object if the lock is upgraded - in the middle of a transaction using the lock method. -

- Exclusive mode does cause lock contention and can have an affect on application - performance when multiple transactions attempt to access the same record. - However, when used smartly with on a small set of objects it can help reduce - the possibility of concurrency conflicts. It can also be used to force an object - to be loaded from the database and the cache refreshed. -

4.3.2.3. Access mode: Database Locked

- The locked mode performs optimistic locking using the underlying database - engine to assure that only one transaction has access to the record. - In addition to acquiring a write lock in memory, Castor performs a query - with a special SQL construct (FOR UPDATE in Oracle, HOLDLOCK in Sybase) - to guarantee access by one transaction. -

- In the event that the same database record will be accessed directly through - JDBC, stored procedure, or a second machine using Castor, the only way to - achieve object locking is through the database layer. However, such write - locks should be cooperative, that is, other forms of database access should - attempt to use the same locking mechanism. -

- In some isolation levels, when Castor acquires a write lock on the database - it will prevent other applications from accessing the same record until the - Castor transaction commits. However, certain isolation levels allow other - applications to obtain a dirty image of the record. -

- Write locks on the database have a severe impact on application performance. - They incur overhead in the database manager, and increase lock contention. - It is recommended to use database locks with care, pay extra attention to the - isolation level being used, and follow good practices recommended by the - database vendor with regards to such locks. -

- In the future long transaction will be supported. Long transactions rely on - the dirty checking mechanism and only hold connections open for as long as - they are required for queries. Long transactions cannot be used with database - locking. -

- Locked mode must be specified for the object in the mapping file or when - conducting the query. It is not possible to upgrade to a locked lock in the - middle of a transaction. -

- Objects loaded in this mode are always synchronized with the database, that - is, they will never be obtained from the cache and always re-loaded for each - new transaction. -

4.3.2.4. Read-only Queries

- When a query is performed in read-only mode or no mode is specified and the - object is marked as read-only in the database, Castor will return a transient - object. The returned object will not be locked and will not participate in the - transaction commit/rollback. -

- When the same object is queried twice in a transaction as read-only, Castor - will return two separate objects, allowing the caller to modify one object - without altering the other. Castor will utilize the cache and only perform - one load from the database to the cache. -

- Read-only access is recommended only when the object is intentionally queried - as read-only and changes to the object should not be reflected in the database. - If the object will not be modified, or modifications will be stored in the - database, it is recommended to use the shared mode. Shared mode allows the - same object to be returned twice in the same transaction. -

4.3.3. Visibility of Changes

- The visibility of changes occuring in one transaction to other transactions - depends upon the transaction isolation level specified for the database connection. - Whether or not the changes are visible in the current transaction depends upon the - operation being done. -

- There are four types of changes, the following table summarizes the affect of - each change in one transaction on other queries in that transaction as well - as other transactions. -

Table 4.8. Changes

Type of changeSame transactionOther transaction
Create new objectNew object is visible and will be returned from a queryNew object might be visible, depending on isolation level, but access - is blocked until the first transaction completes
Delete existing objectObject is no longer visible and will not be returned from a queryObject might not be visible, depending on isolation level, but access - is blocked until the first transaction completes
setXXX()Change is visible in object itselfChange is not visible, object is accessible depending on lock
update()Change is visible in object itselfChange might be visible, depending on isolation level, object might - be accessible depending on lock

-

4.4. Castor Persistence Architecture

Assaf Arkin - () -

4.4.1. Layered Achitecture

- The Castor persistence engine is based on a layer - architecture allowing different APIs to be plugged on top of - the system, and different persistence engines to be combined - in a single environment. -

- At the top level are the application level APIs. These are industry standard APIs - that allow an application to be ported in and to other environments. These APIs - consist of interfaces as well as semantics that make them suitable for a particular - type of applications. -

- At the medium level is the Castor persistence mechanism. The persistence - mechanism exposes itself to the application through the application level - APIs. These typically have a one to one mapping with the persistence - mechanism API. The persistence mechanism takes care of object caching and - rollback, locking and deadlock detection, transactional integrity, and two - phase commit. -

- At the bottom level are the Castor service providers. SPIs provide the - persistence and query support into a variety of persistence mechanism. - This version of Castor is bundled with an SQL 92 and LDAP persistence SPIs. - Additional SPIs can be added, for example, alternative engines streamlined - for Oracle, Sybase, DB2 and other databases. -

- This document will describe the persistence mechanism API and SPI to allow - for those interested in adding new top level APIs or service providers. -

4.4.2. Persistence API

- The persistence mechanism is responsible for object caching and rollback, - locking and deadlock detection, transaction integrity and two phase commit. - All data access goes through the persistence mechanism. All operations are - performed in the context of a transaction, even if the underlying SPI does - not support transactions (e.g. LDAP). -

- The persistence API is defined in the package - org.exolab.castor.persist. - The persistence mechanism implements the - org.exolab.castor.persist.PersistenceEngine - interface, which allows objects to be loaded, created, deleted and locked - in the context of a transaction. The actual implementation is obtained from - org.exolab.castor.persist.PersistenceEngineFactory. -

- All operations are performed through the context of a transaction. - A transaction is required in order to properly manage locking and caching, - and to automatically commit or rollback objects at transaction termination - (write-at-commit). Persistence operations are performed through the - org.exolab.castor.persist.TransactionContext - interface. -

- The actual implementation of a transaction context is specific to each - application API and set of SPIs. One is created from an - org.exolab.castor.persist.XAResourceSource - which abstracts the data source for the purpose of connection pooling and - XA transaction enlistment. A default implementation of - XAResource is available from - org.exolab.castor.persist.XAResourceImpl. -

4.4.2.1. Transactions

- Every persistence operation is performed within the context of a transaction. - This allows changes to objects to be saved when the transaction commits and - to be rolled back when the transaction aborts. Using a transactional API - relieves the application developer from worrying about the commit/rollback - phase. In addition it allows distributed transactions to be managed by a - transactional environment, such as an EJB server. -

- Each time an object is retrieved or created the operation is performed - in the context of a transaction and the object is recorded with the - transaction and locked. When the transaction completes, the modified - object is persisted automatically. If not all objects can be persisted, - the transaction rolls back. The transaction context implements full - two phase commit. -

- Each transaction sees it's own view of the objects it retrieves from - persistent storage. Until the transaction commit, these changes are - viewable only within that transaction. If the transaction rolled back, - the objects are automatically reverted to their state in persistent storage. -

- The transaction context - (org.exolab.castor.persist.TransactionContext) - is the only mechanism by which the top level APIs can interact with the - persistence engine. A new transaction must be opened in order to perform - any operation. -

- A transaction context is not created directly, but through a derived class - that implements the proper mechanism for obtaining a new connection, - committing and rolling back the connection. Note that commit and rollback - operations are only required in a non-JTA environment. When running inside - a JTA environment (e.g. an EJB server), the container is responsible to - commit/rollback the underlying connection. -

- Application level APIs implement data sources that can be enlisted directly - with the transaction monitor through the JTA - XAResource - interface. A data source can be implemented using - org.exolab.castor.persist.XAResourceSource - which serves as a factory for new transaction contexts and - org.exolab.castor.persist.XAResourceImpl - which provides an XAResource implementation. -

4.4.2.2. OIDs and Locks

- Each object participating in a transaction is associated with an object - identifier, or OID - (org.exolab.castor.persist.OID). - The OID identifies the object through its type and identity value. - The identity object must be unique across all OIDs for the same object type - in the same persistence engine. -

- Each object is also associated with a lock - (org.exolab.castor.persist.ObjectLock). - An object lock supports read and write - locks with deadlock detection. Any number of transactions may acquire a - read lock on the object. Read lock allows the transaction to retrieve the - object, but not to delete or store it. Prior to deleting or storing the - object, the transaction must acquire a write lock. Only one transaction - may acquire a write lock, and a write lock will not be granted if there - is any read lock on the object. -

- If an object is loaded read-only, a read lock is acquired at the begin of - the load operation and realeased when the load is finished. Someone now - could ask why do you acquire a read lock at all if it only lasts during - the load operation. For an explanation we have to take a look on what - happens if an object is loaded. Loading one object from database may cause - castor to load a whole tree of objects with relations to each other. - In the background castor may performs various queries to load all related - objects. For this object tree to be consistent and reflect the persistent - state of all the objects in the database at one point in time we need to - lock all objects involved in all load operations to prevent any involved - object to be write locked and changed by another transaction. If the load - operation is finished these read locks are not required anymore. On the - other hand, read locks are acquired to prevent an object already locked - in the write mode from getting the read lock. -

- Write locks are acquired at the begin of the load operation similar then - read locks. But in contrast to read locks, write locks are hold until the - transaction is commited or rolled back. Holding the write lock until the - end of the transaction is required as the changes to the objects, that - could happen anytime between begin and end of the transaction, are only - persisted if the transaction successfully commits. -

- If a transaction requires a read lock on an object which is write locked - by another transaction, or requires a write lock on an object which is read - or write locked by another transaction, the transaction will block until the - lock is released, or the lock timeout has elapsed. The lock timeout is a - property of the transaction and is specified in seconds. A - org.exolab.castor.persist.LockNotGrantedException - is thrown if the lock could not be acquired within the specified timeout. -

- This locking mechanism can lead to the possibility of a deadlock. The object - lock mechanism provides automatic deadlock detection by tracking blocked - transactions, without depending on a lock wait to timeout. -

- Write locks and exclusive locks are always delegated down to the persistence - storage. In a distributed environment the database server itself provides - the distributed locking mechanism. This approach assures proper concurrency - control in a distributed environments where multiple application servers - access the same database server. -

4.4.2.3. Cache Engine

- The concurrency engine includes a layer that acts as a cache engine. - This layer is particularly useful for implementing optimistic locking and - reducing synchronization with the database layer. It is also used to perform - dirty checks and object rollback. The cache engine is implemented in - org.exolab.castor.persist.CacheEngine and - exposed to the application through the - org.exolab.castor.persist.PersistenceEngine. -

- When an object is retrieved from persistent storage it is placed in the - cache engine. Subsequent requests to retrieve the same object will return - the cached copy (with the exception of pessimistic locking, more below). - When the transaction commits, the cached copy will be updated with the - modified object. When the transaction rolls back, the object will be - reverted to its previous state from the cache engine. -

- In the event of any error or doubt, the cached copy will be dumped from - the cache engine. The least recently used objects will be cleared from - the cache periodically. -

- The cache engine is associated with a single persistence mechanism, - e.g. a database source, and LDAP directory. Proper configuration is - the only way to assure that all access to persistent storage goes - through the same cache engine. -

4.4.2.4. Pessimistic/Optimistic Locking

- The concurrency engine works in two locking modes, based on the type of - access requested by the application (typically through the API). - Pessimistic locking are used in read-write access mode, optimistic locking - are used in exclusive access mode. -

- In optimistic locking mode it is assumed - that concurrent access to the same object is rare, or that objects are - seldom modified. Therefore objects are retrieved with a read lock and - are cached in memory across transactions. -

- When an object is retrieved for read/write access, if a copy of the object - exists in the cache, that copy will be used. A read lock will be acquired - in the cache engine, preventing other Castor transactions from deleting or - modifying the object. However, no lock is acquired in persistent storage, - allowing other applications to delete or modify the object while the Castor - transaction is in progress. -

- To prevent inconsistency, Castor will perform - dirty checking prior to storing the object, - detecting whether the object has been modified in persistent storage. - If the object has been modified outside the transaction, the transaction - will rollback. The application must be ready for that possibility, or - resort to using pessimistic locking. -

- In pessimistic locking mode it is assumed - that concurrent access to the same object is the general case and that - objects are often modified. Therefore objects are retrieved with a write - lock and are always synchronized against the persistence storage. When - talking to a database server, a request to load an object in exclusive mode - will always load the object (unless already loaded in the same transaction) - using a SELECT .. FOR UPDATE which assures no other application - can change the object through direct access to the database server. -

- The locking mode is a property of the chosen access mode. The two access - modes as well as read-only access can be combined in a single transaction, - as a property of the query or object lookup. However, it is not possible - to combine access modes for the same object, in certain cases this will - lead to a conflict. -

- The pessimistic locking mode is not supported in LDAP and similar - non-transactional servers. LDAP does not provide a mechanism to lock - records and prevent concurrent access while they are being used in a - transaction. Although all Castor access to the LDAP server is properly - synchronized, it is possible that an external application will modify - or delete a record while that record is being used in a Castor transaction. -

4.4.2.5. Relations

TBD

4.4.2.6. QueryResults

TBD

4.4.3. Service Providers (SPI)

- Castor supports a service provider architecture that allows different - persistence storage providers to be plugged in. The default implementation - includes an SQL 92 provider and an and an LDAP provider. Additional - providers will be available optimized for a particular database server - or other storage mechanisms. -

- The service provider is defined through two interfaces, - org.exolab.castor.persist.spi.Persistence - and org.exolab.castor.persist.spi.PersistenceQuery. - The first provides creation, deletion, update and lock services, - the second is used to process queries and result sets. Service providers - are obtained through the - org.exolab.castor.persist.spi.PersistenceFactory - interface. -

4.4.3.1. Persistence

- The interface - org.exolab.castor.persist.spi.Persistence defines - the contract between the persistence mechanism and a persistence service - provider. Each persistence storage (i.e. database server, directory server) - is associated with a single persistence engine, which in turn contains a - number of service providers, one per object type. Service providers are - acquired through a - org.exolab.castor.persist.spi.PersistenceFactory - interface, which is asked by each persistence engine to return - implementations for all the object types supported by that persistence - engine. -

- The object's identity is an object that unique identifies the object within - persistent storage. Typically this would be the primary key on a table, or - an RDN for LDAP. The identity object may be a simple type (e.g. integer, - string) or a complex type. -

- The service provider may support the stamp mechanism for efficiently - tracking dirty objects. The stamp mechanism is a unique identifier of - the persistent object that changes when the object is modified in - persistent storage. For example, a RAWID in Oracle or TIMESTAMP in Sybase. - If a stamp is return by certain operations it will be stored with the - object's OID and passed along to the store method. -

- The create method is called to create a new object - in persistent storage. This method is called when the created object's - identity is known. If the object's identity is not know when the object is - made persistent, this method will be called only when the transaction - commits. This method must check for duplicate identity with an already - persistent object, create the object in persistent storage, such that - successful completion of the transaction will result in durable storage, - and retain a write lock on that object for the duration of the transaction. -

- The load method is called to load an object from - persistent storage. An object is passed with the requested identity. If the - object is found in persistent storage, it's values should be copied into the - object passed as argument. If the lock flag is set, this method must create - a write lock on the object at the same time it loads it. -

- The load method is called in two cases, when an - object is first loaded or when an object is synchronized with the database - (reloaded) in exclusive access mode. In the second case this method will - be called with an object that is already set with values that are not - considered valued, and must reset these values. -

- The store method is called to store an object into - persistent storage. The store method is called for an object that was loaded - and modified during a transaction when the transaction commits, as well as - for an object that was created during the transaction. This method must - update the object in persistent storage and retain a write lock on that - object. -

- This method might be given two views of an object, one that is being saved - and one that was originally loaded. If the original view is provided as - well, this method should attempt to perform dirty check prior to storing - the object. Dirty check entails a comparison of the original object against - the copy in persistent storage, to determine whether the object has changed - in persistent storage since it was originally loaded. The class descriptor - will indicate whether the object is interested in dirty checking and which - of its fields should be checked. -

- The delete method is called to delete an object - from persistent storage. The delete method is called when the transaction - commits and expects the object to deleted, if it exists. This method is not - called when the transaction rolls back, objects created during the - transaction with the create method are automatically rolled back by the - persistent storage mechanism. -

- The writeLock method is called to obtain a write - lock on an object for which only a read lock was previously obtained. - The changeIdentity method is called to change - the identity of the object after it has been stored with the old identity. -

4.4.3.2. PersistenceQuery

- The interface - org.exolab.castor.persist.spi.PersistenceQuery - defines the contract between the persistence engine and a query mechanism. -

4.4.4. Enterprise JavaBeans CMP

TBD

-

4.5. Castor JDO Key Generator Support

4.5.1. Introduction

- The key generator gives a possibility to generate identity field - values automatically. During create the value of the - identity field is set to the value obtained from the key generator. - Different algorithms may be used here, both generic and specific - for database server. -

- The key generator for the given class is set in the mapping specification - file (mapping.xml), in the - key-generator attribute of the - class element, for example: -

-<class name="myapp.ProductGroup"
-       identity="id" key-generator="MAX">
-  <field name="id">
-  </field>
-</class>
-      

- The following key generator names are supported in Castor 1.0: -

Table 4.9. Supported key generator names

MAX"MAX( pk ) + 1" generic algorithm
HIGH-LOWHIGH-LOW generic algorithm
UUIDUUID generic algorithm
IDENTITY - Supports autoincrement identity fields in Sybase ASE/ASA, - MS SQL Server, MySQL and Hypersonic SQL -
SEQUENCE - Supports SEQUENCEs in Oracle, PostgreSQL, Interbase and SAP DB -

- Some of these algorithms have parameters, which can be specified - in the key-generator element of the mapping - specification file, for example: -

-<key-generator name="HIGH-LOW">
-  <param name="table" value="SEQ"/>
-  <param name="key-column" value="SEQ_TableName"/>
-  <param name="value-column" value="SEQ_MaxPKValue"/>
-  <param name="grab-size" value="1000"/>
-</key-generator>
-
-<class name="myapp.ProductGroup"
-       identity="id" key-generator="HIGH-LOW">
-  <field name="id">
-  </field>
-</class>

- It is possible to create several key generators with the same - algorithms but different parameters. - In this case you have to specify the alias attribute - in the key-generator element, for example: -

-<key-generator name="SEQUENCE" alias="A">
-  <param name="sequence" value="a_seq"/>
-</key-generator>
-
-<key-generator name="SEQUENCE" alias="RETURNING">
-  <param name="sequence" value="b_seq"/>
-  <param name="returning" value="true"/>
-</key-generator>
-
-<class name="myapp.ProductGroup"
-       identity="id" key-generator="RETURNING">
-  <field name="id">
-  </field>
-</class>
-      

- Below all supported key generators a described in details. -

4.5.2. MAX key generator

- MAX key generator fetches the maximum value of the primary key - and lock the record having this value until the end of transaction. - Then the generated value is set to (MAX + 1). - Due to the lock concurrent transactions which perform insert - to the same table using the same key generator algorithm will wait - until the end of the transaction and then will fetch new MAX value. - Thus, duplicate key exception is almost impossible (see below). - Note, that it is still possible to perform multiple inserts during - the same transaction. -

- There is one "singular" case of this algorithm: the case when the table - is empty. In this case there is nothing to lock, so duplicate key exception - is possible. The generated value in this case is 1. -

- This algorithm has no parameters. Primary key must have type - integer, bigint or numeric. -

4.5.3. HIGH-LOW key generator

- This key generator uses one of the variants of the generic HIGH-LOW - algorithm. It is needed a special auxiliary table ("sequence table") - which has the unique column which contains table names (of the type - char or varchar) and the column which is used - to reserve values of the primary keys (of the type integer, - bigint or numeric). - The key generator seeks for the given table name, reads the last - reserved value and increases it by some number N, which is called - "grab size". Then the lock on the auxiliary table is released, - so that concurrent transactions can perform insert to the same table. - The key generator generates the first value from the grabbed - interval. - During the next (N - 1) invocations it generates the other grabbed - values without database access, and then grabs the next portion. - Note, that the auxiliary table must be in the same database as - the table for which key is generated. So, if you work with multiple - databases, you must have one auxiliary table in each database. -

- If the grab size is set to 1, the key generator each time stores - the true maximum value of the primary key to the auxiliary table. - In this case the HIGH-LOW key generator is basically equivalent to - the MAX key generator. - On you want to have LOW part of the key consisting of 3 decimal - digits, set the grab size to 1000. If you want to have 2 LOW bytes in - the key, set the grab size to 65536. - When you increase the grab size, the speed of - key generation also increases because the average number of - SQL commands that are needed to generate one key is (2 / N). - But that average number of key values that will be skipped (N / 2) - also increases. -

- The HIGH-LOW key generator has the following parameters: -

Table 4.10. parameters of the HIGH-LOW key generator

tableThe name of the special sequencetable.Mandatory
key-columnThe name of the column which contains table namesMandatory
value-column - The name of the column which is used to reserve primary key values - Mandatory
grab-size - The number of new keys the key generator should grab from the sequence - table at a time. - Optional, default="10"
same-connection - To use the same Connection for writing to the sequence table, values: - "true"/"false". This is needed when working in EJB environment, though - less efficient. - Optional, default="false"
globalTo generate globally unique keys, values: "true"/"false".Optional, default="false"
global-key - The name of key, which is used when globally unique keys are generated. - Optional, default="<GLOBAL>"

- If the parameter global is set to true, - the sequence table contains only one row with the value set in parameter - global-key (or "<GLOBAL>" if "global-key was not set") - instead of the table name. This row serves for all tables. -

- Don't forget to set same-connection="true" if you are working in - EJB environment! -

- Note, that the class HighLowKeyGenerator is not final, - so you can extend it in order to implement other variants of HIGH-LOW - algorithm (for example, HIGH/MID/LOW or char key values). -

4.5.4. UUID key generator

- This key generator generates global unique primary keys. - The generated key is a combination of the IP address, the current - time in milliseconds since 1970 and a static counter. - The complete key consists of a 30 character fixed length string. -

- This algorithm has no parameters. Primary key must have type - char, varchar or longvarchar. -

4.5.5. IDENTITY key generator

- IDENTITY key generator can be used only with autoincrement primary - key columns (identities) with Sybase ASE/ASA, MS SQL Server, MySQL and - Hypersonic SQL. -

- After the insert the key generator selects system variable - @@identity which contains the last identity value for - the current database connection. -

- In the case of MySQL and Hypersonic SQL the system functions - LAST_INSERT_ID() and IDENTITY() - are called, respectively. -

This algorithm has no parameters.

4.5.6. SEQUENCE key generator

- The SEQUENCE key generator type is supported in conjunction with the following - DBMS: Derby, Interbase, Oracle, PostgreSQL, and SAP DB. -

It generates keys using database sequence objects.

- The key generator has the following parameters: -

Table 4.11. parameters of the SEQUENCE key generator

sequenceThe name of the sequenceOptional, default="{0}_seq"
returningRETURNING mode for Oracle8i, values: "true"/"false"Optional, default="false"
incrementIncrement for InterbaseOptional, default="1"
trigger - Assume that there is a trigger that already generates key. - Values: "true"/"false" - Optional, default="false"

- Usually one sequence is used for one table, so in general you have to - define one key generator per table. -

- But if you use some naming pattern for sequences, you can use one - key generator for all tables. -

- For example, if you always obtain sequence name by adding "_seq" to - the name of the correspondent table, you can set "sequence" parameter - of the key generator to "{0}_seq" (the default value). -

- In this case the key generator will use sequence "a_seq" for table - "a", "b_seq" for table "b", etc. Castor also allows for inserting - the primary key into the sequence name as well. This is accomplished - by including the {1} tag into the "sequence" parameter. Example: - "{0}_{1}_seq" -

- Actually the SEQUENCE key generator is "4 in 1". - With PostgreSQL it performs "SELECT nextval(sequenceName)" before - INSERT and produces identity value that is then used in INSERT. - Similarly, with Interbase it performs - "select gen_id(sequenceName, increment) from rdb$database" before - INSERT. -

- With Oracle by default (returning=false) and with SAP DB it transforms - the Castor-generated INSERT statement into the form - "INSERT INTO tableName (pkName,...) VALUES - (sequenceName.nextval,...)" and after INSERT it performs "SELECT - seqName.currval FROM tableName" to obtain the identity value. With - Oracle8i it is possible to use more efficient RETURNING mode: to - the above INSERT statement is appened "RETURNING primKeyName INTO - ?" and the identity value is fetched by Castor during INSERT, so - that only one SQL query is needed. -

- In case when your table has an on_Insert trigger which already generates - values for your key, like the following Oracle example: -

-create or replace trigger "trigger_name"
-before insert on "table_name" for each row 
-begin 
-   select "seq_name".nextval into :new."pk_name" from dual;
-end;

- you may set the "trigger" parameter to "true". This will prevent the - "Sequence_name".nexval from being pulled twice (first time in the insert - statement (see above), then in the trigger). Also usefull in combination - with the "returning" parameter set to "true" for Oracle (in this case you - may not specify the sequence name). -

-

4.6. Castor JDO Long Transactions Support

4.6.1. Introduction

- The usual Castor transactions are called here short - transactions: an object is read, modified and written within the - bounds of one transaction. - Long transactions consist of two Castor transactions: - an object is read in the first and written in the second. - Between them the object is sent "outwards" and modified there. - For example, the object may be send to a client application and - dispayed to a user, or it may be sent to a servlet engine and is - displayed on a web page. After that the modified object returns - back and is written to the database in the second transaction. - At this point the object is usually not the same physical instance - as one that was read in the first transaction. - The example code for writing the object in the second Castor - transaction follows: -

-    // a customer go to a webpage to review her personal information.
-    // The servlet then call this server side function: getCustomerInfo
-    public CustomerInfo getCustomerInfo( Integer customNum ) {
-         
-         // in most case, users simply review information and
-         // make no change. Even if they make changes, it often
-         // takes time for them to decide. We don't want to
-         // lock the database row, so commit right after we load.
-         db.begin();
-         CustomerInfo info = (CustomerInfo)
-            db.load( CustomerInfo.class, customNum );
-
-         
-         // we also want to keep track of customers patterns
-         // well...it helps us provide better service.
-         info.setLastVisit( today );
-         db.commit();
-         return info;
-    }
-
-    // Three days passed, the indecisive customer finally agrees to
-    // marry Joe. She changes her last name in the webpage and
-    // clicked the "Submit" button on the webpage.
-    
-    // The servlet then calls updateCustomerInfo to update the
-    // last name for the indecisive customer.
-    public void updateCustomerInfo( CustomerInfo info ) {
-        db.begin();
-        db.update(info);
-        db.commit();
-    }
-         

- Note, that it is natural to read the object in the first - transaction in the read-only mode. -

- Since the time interval between the first and the second - transaction is relatively big, it is desirable to perform dirty - checking, i.e. to check that the object has not been modified - in the database during the long transaction. - For that the object must hold a timestamp: it is set by - Castor during the first Castor transaction and is checked during - the second one. - In order to enable the dirty checking for long transactions, - the object should implement the interface - org.exolab.castor.jdo.TimeStampable - having two methods: long jdoGetTimeStamp() and - void jdoSetTimeStamp(long timeStamp) - - -

4.6.2. Bounded dirty checking

- The advantage of the bounded dirty checking is that it doesn't require - any changes to the database schema. It uses the Castor cache to store - object timestamps. The disadvantage of this algorithm is that it is - bounded by a lifetime of the cached copy of the object. After the - cached copy has been purged, db.update() causes ObjectModifiedException. -

- Thus, parameters of the cache define dirty checking capabilities. - The cache-type attribute is part of the - - <class> element in the XML mapping. Consider the existing cache types: - -

  • none - the bounded dirty checking is impossible

  • - count-limited - the count limit for the cache is a count - limit for the objects of this class that can participate in long - and short transactions simultaneously. -

  • - time-limited - the time limit for the cache is a time limit - for the long transaction. -

  • - unlimited - the bounded dirty checking gives correct results - while the cache exists, i.e. until the crash of the server. -

-

4.6.3. Long transactions that do not depend on cache

- For long transactions (detached objects) it was required - that the entity has been kept in cache from being loaded until its update. - If the entity was expired from cache before the update an - ObjectModifiedException had been thrown. While this is no - problem if all entities of an application can be kept in - cache all the time, it is one for large scale applications - with millions of entities. -

- With release 1.3 we have changed the handling of timestamps. - While it is still possible to rely on cache only it is now - also possible to persist the timestamp together with the - other properties of the entity. Doing so will ensure that - the timestamp do not change even if the entity got expired - from cache from being loaded until it gets updated. If this - happens the entity gets reloaded during update which also - loads the previous timestamp. Having said that it still is - possible that an ObjectModifiedException is thrown when - another user has changed the same entity in the meantime. -

See an example entity and its mapping below:

-public class Entity implements TimeStampable {
-    private Integer _id;
-    private String _name;
-    private long _timeStamp;
-    
-    public Integer getId() { return _id; }
-    public void setId(final Integer id) { _id = id; }
-    
-    public String getName() { return _name; }
-    public void setName(final String name) { _name = name; }
-    
-    public long getTimeStamp() { return _timeStamp; }
-    public void setTimeStamp(final long timeStamp) {
-        _timeStamp = timeStamp;
-    }
-    
-    public long jdoGetTimeStamp() { return _timeStamp; }
-    public void jdoSetTimeStamp(final long timestamp) {
-        _timeStamp = timestamp;
-    }
-}       
-<class name="Entity">
-    <cache-type type="time-limited" capacity="300"/>
-    <map-to table="entity"/>
-    <field name="id" type="integer" identity="true">
-        <sql name="id" type="integer"/>
-    </field>
-    <field name="name" type="string">
-        <sql name="name" type="char"/>
-    </field>
-    <field name="timeStamp" type="long">
-        <sql name="timestamp" type="numeric" />
-    </field>
-</class>
-        
-

4.7. Nested Attributes

4.7.1. Introduction

- In some cases it is desirable to map a plain sequence of fields - in a database record to more complicated structure of attributes - in a Java object, where the target attributes are contained (nested) - in other attributes. - In brief, you can specify a path to the target attribute as a name - of the field in a configuration file, and Castor is able to handle - such nested attributes. - For example: -

-<field name="address.country.code"...>
-  <sql name="person_country"/>
-</field>
-	        

-

4.7.2. Application types

- The first case is an attribute of an application type that is - a container for some value of a Java type supported by Castor. - Usually the application type also has some business methods. - Examples are: class Balance that contains a BigDecimal value and - has some accounting-specific methods; - class CountryCode that contains a String value and has - methods validate(), getDisplayName(), etc.; class Signature that - contains a byte[] value and has some security-specific methods. - In order to use such type with Castor you should provide - a pair of methods to get/set the value of the Castor-supported type, - e.g. getBigDecimal/setBigDecimal, getCode/setCode, getBytes/setBytes. -

- Assume that you have the class Address -

-public class Address {
-    private CountryCode _country;
-    private String      _city;
-    private String      _street;
-
-    public CountryCode getCountry() {
-        return _country;
-    }
-
-    public void setCountry(CountryCode country) {
-        _country = country;
-    }
-    ...
-}
-	        

- where the class CountryCode is like this -

-public class CountryCode {
-    private String _code;
-    private static String[] _allCodes;
-    private static String[] _allDisplayNames;
-
-    public String getCode() {
-        return _code;
-    }
-
-    public void setCode(String code) {
-        _code = code;
-    }
-
-    public void getDisplayName() {
-    ...
-}
-	        

- then write in the configuration file: -

-<class name="Address"...>
-  <field name="country.code"...>
-    <sql name="addr_country"/>
-  </field>
-  ...
-</class>
-	        

- When reading the object from the database Castor will use -

-object.getCountry().setCode(value);
-	        

- to set the nested attribute value. - Moreover, if object.getCountry() is null, Castor will create the - intermediate object of the application type: -

-country = new CountryCode();
-country.setCode(value);
-object.setCountry(country);
-	        

- When writing the object to the database Castor will use -

-value = object.getCountry().getCode();
-	        

- to get the value of the correspondent database field. -

4.7.3. Compound types

- The second case is an attribute that is a part of a compound - attribute, which contains several database fields. - For example, database fields person_country, person_city, - person_street of the table PERSON - correspond to one compound attribute "address" of the class - Person: -

-public class Person {
-    private String  _firstName;
-    private String  _lastName;
-    private Address _address;
-
-    public Address getAddress() {
-        return _address;
-    }
-
-    public void setAddress(Address address) {
-        _address = address;
-    }
-    ...
-}
-        

- where the class Address is the same as in the - previous section. Then write in the configuration file: -

-<class name="Person"...>
-  <field name="address.country.code"...>
-    <sql name="person_country"/>
-  </field>
-  <field name="address.city"...>
-    <sql name="person_city"/>
-  </field>
-  <field name="address.street"...>
-    <sql name="person_street"/>
-  </field>
-  ...
-</class>
-        

- Similarly to the previous section, Castor will use a proper - sequence of get/set methods to access the nested attributes and - will create the intermediate objects when necessary. - Don't forget to provide parameterless constructors for the - container classes. -

-

4.8. Using Pooled Database Connections

4.8.1. News

  • - 10/22/2004: - Added JDBC Datasource configuration for mySQL. -

  • - 9/14/2004: - Added section about using Jakarta's DBCP with Castor. -

4.8.2. Pooling Agents

- There is no mechanism within Castor JDO to provide pooling of - JDBC drivers. Rather, Castor JDO relies on the drivers or - external driver wrappers to implement a pooling mechanism. - Some drivers, such as Oracle, provides a pooling mechanism in - the driver. For those that do not, there are tools such as - Proxool - and Jakarta's - DBCP - project. -

- Here, I'll go over the various usage of the PostgreSQL driver - with Castor. We start with the most basic configurations - that do not use any pooling, to those with pooling via DBCP. - I'll include how to configure the pooling version of the - PostgreSQL JDBC driver ths will be usable with PostgreSQL 7.3 and - later, how to setup a Tomcat JNDI context that Castor can use to get - a pooled JDBC connection. Finally, I'll explain how to configure a - BasicDataSource from the DBCP package using the - <data-source> element. -

4.8.3. Standard Database Connections

- A standard jdo-conf.xml entry for using PostgreSQL without pooling - looks like this: -

-
-<driver class-name="org.postgresql.Driver"
-        url="jdbc:postgresql://localhost/app">
-  <param name="user" value="smith"/>
-  <param name="password" value="secret" />
-</driver>
-        

- On the other hand, if you wanted to use the PostgresqlDataSource, you - would use the data-source tag instead, and the connection entry would - look like this: -

-<data-source class-name="org.postgresql.PostgresqlDataSource">
- <param name="server-name" value="localhost" />
- <param name="database-name" value="app" />
- <param name="user" value="smith" />
- <param name="password" value="secret" />
-</data-source>
-      

- (Note that only versions before 7.3 of the PostgreSQL JDBC driver - include this class) -

4.8.4. Pooling and JDBC DataSources

4.8.4.1. PostgreSQL 7.3 and later

- In the 7.3 release of PostgreSQL, they will start providing a - pooling mechanism with their driver. The Castor SVN repository - includes a beta version of the driver with this functionality. - Here is the 'current' configuration needed for the upcoming 7.3 - release of PostgreSQL. (Unless they change it.) Note that in this - pooling mechanism currently lacks some features of standrd pooling - packages such as DBCP, such as timing out idle connections and removing - failed connections from the pool. In this case, we can create the - following data-source entry in the jdo-conf.xml file to provide - for our connections with Castor. -

-<data-source class-name="org.postgresql.jdbc2.optional.PoolingDataSource">
- <param name="server-name" value="localhost" />
- <param name="database-name" value="app" />
- <param name="initial-connections" value="2" />
- <param name="max-connections" value="10" />
- <param name="user" value="smith" />
- <param name="password" value="secret" />
-</data-source>
-
-            

4.8.4.2. Oracle

- Here is the configuration needed for using a connection pool - with the Oracle JDBC DataSource implementations. -

-   <data-source class-name="oracle.jdbc.pool.OracleConnectionCacheImpl">
-      <param name="URL" value="jdbc:oracle:thin:@localhost:1521:TEST" />
-      <param name="user" value="scott" />
-      <param name="password" value="tiger" />
-   </data-source>
-            
-            

4.8.4.3. mySQL

- Here is the configuration needed for using a connection pool - with the mySQL JDBC DataSource implementations. -

        
-
-<data-source class-name="com.mysql.jdbc.jdbc2.optional.MysqlConnectionPoolDataSource">
-   <param name="server-name" value="localhost" />
-   <param name="port" value="3306" />
-   <param name="user" value="scott" />
-   <param name="password" value="tiger" />
-   <param name="database-name" value="test" />
-</data-source>
-
-            

4.8.5. Configuring JDBC DataSources in Tomcat to be used with Castor

- Finally, I want to show the configuration for using a pooling - data-source for Castor which is retrieved from a JNDI context - that Apache fills. The first example is using the PostgreSQL - pooling data-source, and the second is using Castor. The - information to gain here is that we did not need to change the - jdo-conf.xml file or the webapp's web.xml file to achieve - this. -

- First, we modify the deployment context for the webapp in Tomcat >= 4.0 for our - webapp in the conf/server.xml directory. (With Tomcat/Catalina releases 4.0 and higher - there's more than one way of adding a - <Resource> entry. Please consult with the - manuals for more and more detailed information). -

- We add the following information (using the PostgreSQL JDBC DataSource - implementations as introduced above.): -

-	        
-<Context path="/webapp" docBase="test" debug="10">
- <Resource name="jdbc/appDb" auth="Container"
-            type="org.postgresql.jdbc2.optional.PoolingDataSource"/>
-   <ResourceParams name="jdbc/appDb">
-    <parameter>
-      <name>factory</name>
-      <value>org.postgresql.jdbc2.optional.PGObjectFactory</value>
-    </parameter>
-    <parameter>
-     <name>dataSourceName</name>
-     <value>appDb</value>
-    </parameter>
-    <parameter>
-     <name>initialConnections</name>
-     <value>2</value>
-    </parameter>
-    <parameter>
-      <name>maxConnections</name>
-      <value>5</value>
-    </parameter>
-    <parameter>
-      <name>databaseName</name>
-      <value>app</value>
-    </parameter>
-    <parameter>
-      <name>user</name>
-      <value>smith</value>
-    </parameter>
-    <parameter>
-      <name>password</name>
-      <value>secret</value>
-    </parameter>
-    <parameter>
-      <name>serverName</name>
-      <value>localhost</value>
-    </parameter>
-  </ResourceParams>
-</Context>
-	     

- Here, we are using the PostgreSQL PGObjectFactory which - provides the JNDI server (Tomcat) the ability to create the - correct data source. Now, the web.xml file for the webapp - needs to be updated too. -

        
-	        
-<resource-env-ref>
-  <description>PostgreSQL pooling check</description>
-  <resource-env-ref-name>jdbc/appDb</resource-env-ref-name>
-  <resource-env-ref-type>javax.sql.DataSource</resource-env-ref-type>
-</resource-env-ref>
-	
-	      

- Note that we are only calling the ref type a DataSource - object, not using the PostgreSQL class name. This will - enable us to make changes easily. Now, in the jdo-conf.xml - file that Castor uses, we no longer list the driver or - data-source tag, but use the JNDI one, and it is simply this: -

-	         
-<jndi name="java:comp/env/jdbc/appDb"/>
-	     

4.8.6. Jakarta Commons DBCP - BasicDataSource

- Commons-DBCP provides database connection pooling services, and together with - Commons-Pool - it is the default JNDI datasource provider for Tomcat. -

- With release 1.1 of the Jakarta Commons DBCP component, one of the major - new features of the JDBC 3.0 API has (finally) been added to - BasicDataSource, support for prepared statement pooling. -

- To configure Castor for the use of DBCP, please provide the following - <data-source> entry in the jdo-conf.xml file. -

-       
-<data-source class-name="org.apache.commons.dbcp.BasicDataSource">
-  <param name="driver-class-name" value="com.mysql.jdbc.Driver" />
-  <param name="username" value="test" />
-  <param name="password" value="test" />
-  <param name="url" value="jdbc:mysql://localhost/test" />
-  <param name="max-active" value="10" />
-</data-source>
-        

4.8.6.1. Prepared statement pooling

- As mentioened above, please note that with DBCP 1.1 and later - releases, support for prepared statement pooling has been added - to DBCP. As Castor JDO does not - implement prepared statement pooling itself, you will to configure - DBCP explicitely to enable this feature. -

- To configure Castor for the use of DBCP, and to turn prepared statement - pooling on, please provide the following - <data-source> entry in the - jdo-conf.xml file. -

-            
-<data-source class-name="org.apache.commons.dbcp.BasicDataSource">
-  <param name="driver-class-name" value="com.mysql.jdbc.Driver" />
-  <param name="username" value="test" />
-  <param name="password" value="test" />
-  <param name="url" value="jdbc:mysql://localhost/test" />
-  <param name="max-active" value="10" />
-  <param name="pool-prepared-statements" value="true" />
-</data-source>
-            

- There's plenty of information on - configuration - of BasicDataSource. -

-

4.9. Blobs in PostgreSQL

4.9.1. OID Support

- PostgreSQL's blob support has evolved over the years. Today - PostgreSQL fields can be of unlimited length. And there are - specific data types for character and binary large objects. - The current Castor support for blobs, however, uses an earlier - PostgreSQL blob support. This support places the blob data in - the pg_largeobject table and a object id in the referring - table. For most practical purposes using this earlier support - does not matter. -

- Database version and the JDBC driver version matter greatly. To get - everything to work I eventually built and installed PostgreSQL 7.2.2 and - used the JDBC driver from this build (i.e. not the one from - http://jdbc.postgresql.org. -

- Since Castor is using the earlier blob support the JDBC has to be - placed in PostgreSQL 7.1 comparability mode. To do this use the - following JDBC URL -

-	      jdbc:postgresql://host:port/database?compatible=7.1      

- Once you have resolved the PostgreSQL version issues Castor - works as documented. -

4.9.2. OID Example

- Here are the details of an example configuration. -

-	      Client Windows 2000, Sun Java Standard Edition 1.3.1_03, Castor 0.9.3.21
-	      Server RedHat 7.2, PostgreSQL 7.2.2     

- The interface I am using is -

-	    
-	    public interface Document {
-	        String      getTitle();
-	        void        setTitle( String title );
-	        Date        getCreatedOn();
-	        void        setCreatedOn( Date createdOn );
-	        String      getContentType();
-	        void        setContentType( String contentType );
-	        InputStream getContent();
-	        void        setContent( InputStream content );
-	    }
-	    

- and this is implemented by the class DocumentImpl. -

The mapping file is

-	    
-  <?xml version="1.0"?>
-    <mapping>
-     <class
-         name="com.ingenta.DocumentImpl"
-         identity="id"
-         key-generator="SEQUENCE" >
-         <description />
-         <cache-type type="none" />  
-         <map-to table="documents" />
-         <field name="id" type="integer" >
-             <sql name="id" type="integer" dirty="check" required="true"/>
-         </field>
-         <field name="title" type="string">
-             <sql name="title" type="longvarchar" dirty="check" />
-         </field>
-         <field name="createdOn" type="date">
-             <sql name="createdon" type="date" dirty="check" />
-         </field>
-         <field name="contentType" type="string">
-             <sql name="contenttype" type="longvarchar" dirty="check" />
-         </field>
-         <field name="content" type="stream">
-             <sql name="content" type="blob" dirty="ignore" />
-         </field>
-     </class>
- </mapping>
-	 

Note that the blob is not dirty checked.

And the SQL is

-	    
-    create table documents (
-        id          serial    not null,
-        title       text      null,
-        createdon   timestamp null,
-        contenttype text      null,
-        content     oid       null,
-        primary key ( id )
-    );
-	    

- Castor caches objects between transactions for performance. With - a blob however the cached object's InputStream is not - reusable. To workaround this I have told the cache to not cache - any objects of this class by adding to the class mapping, as - noted above. -

-

4.10. Castor JDO - Best practice

4.10.1. Introduction

- There's many users of Castor JDO out there, who (want to) use Castor JDO in - in high-volume applications. To fine-tune Castor for such environment, it is - necessary to understand many of the product features in detail and to be able to - balance their use according to the application needs. Even though many of these - features are detailed in various places, people have frequently been asking - for a 'best practise' document, a document that brings together these technical - topics (in one place) and presents them as a set of easy-to-use recipes. -

- Please be aware that this document is under construction, - but still we believe that - even when in its conception phase - - it provides valuable information to users of Castor JDO. -

4.10.2. General suggestions

- Let's start with some general suggestions that you should have a look at. Please don't - feel upset if some are really primitive but there may be users reading this document - that are not aware of them. -

  1. - Switch to version 0.9.9 of Castor as we have fixed some 100+ bugs - that may causesome of your problems. -

    - Sidenote: Performance has, generally, improved recently. - If you're not seeing performance improvements, then it's worth - spending some time thinking about why. -

  2. - Initialize your JDOManager instance once and reuse it all over - your application. Don't reuse the Database instances. - Creating them is inexpensive, and JDBC rules state that one thread - <-> one JDBC connection is the rule. Do not multithread inside - of a Database instance; as a corrolary, do not multithread on a - single JDBC connection. -

  3. - Use a Datasource instead of a Driver configuration as they enable - connection pooling which gives you a great performance improvement. -

    - We highly suggest DBCP, here, with the beneficial use of prepared - statement caching. -

    - Should you be running on a system where read performance is - critical, feel free to take the SQL code generated by castor, - and dumped to logs during the DB mapping load in debug output, - and turn those into stored procedures that you then invoke via - SQL CALL to perform those loads; however, I find personally that - stored procedures would be a minimal improvement over the DBCP - prepared statement cache; your mileage may vary. - db.load() has performance benefits that - are worth keeping, IMO, and the pleasure of having pretty stored - procedures in your database is far outweighed by the nightmare - of change management. -

    - Have a look at - the - HTML docs for Jakarta DBCP, which has details about how to - use and configure DBCP with Castor and Tomcat. -

    [Note]Note

    - 'prepared statement caches' refer to the fact that DBCP is a - JDBC 3.0-compliant product, and as such has to support caching - of prepared statements. This basically allows the JDBC driver - to maintain a pool of prepared statements across all - connections, a feature that has been added to the JDBC - specification with release 3.0 only. -

    - DBCP setup is generally outside of the scope of this list, - but basically, here's my two cent description: -

    -

    • - Use tomcat 5.5, because mucking about in server.xml sucks. - For those of you working with Tomcat 4.1.x, there's no need - to muck about in server.xml, either. Afaik, a web app can be - deployed using a web app descriptor copied into - $TOMCAT_HOME/webapps, which is the place top define anything - specific to a web app context. Details can vary, of course. -

    • - Create a META-INF directory in your WAR deploy scripts, and put a - context.xml in it. -

    • - In that context.xml, describe all of the things you want - to be made available via JNDI to your application. - These include things like UserTransaction and - TransactionManager (for those of us using JOTM), all your - database connection pools as datasources, etc. You can also - add your JDO factory here, should you choose to do so. -

    • - Configure Castor to load those JNDI names to retrieve connections. -

    -

    Hit the deploy button, and bob's your uncle.

  4. - Always commit or rollback your transactions and close your Database - instances properly; also in fail situations. -

    [Note]Note

    - Just the obvious general rule on Java objects that hold - resources: Don't wait for the VM to finalize to have something - happen to your objects when you could have released critical - resources at the appropriate point in the codebase. -

  5. - Keep your transactions as short as possible. If you have an open - transaction that holds a write lock on an object no other - transaction can get a write lock on the same object which will - lead to a LockNotGrantedException. -

    -execute() {
    -   Database db = jdo.getDatabase();
    -   db.begin();
    -   // query objects from database with read only
    -   db.commit();
    -   db.close();
    -
    -   // do some time consuming processing with the data
    -
    -   Database db = jdo.getDatabase();
    -   db.begin();
    -   // use db.load() to load the objects you need to change again
    -   // create, update or delete some objects
    -   db.commit();
    -   db.close();
    -}               

    - It doesn't make sense to make a own transaction for every change - you want to do to an object as this will slow down your application. - On the other hand if you have transactions with lots of objects - involved taking an valuable amonth of time you may consider to - split this transactions to reduce the time an object is locked. -

    - Also keep in mind that folks using lockmode of DBLocked do - FOR UPDATE calls on things they read while - the transaction is open; if you're using dblocked mode, be aware - of how your application does things. If you're in one of the - other modes, locks happen inside castor, and it's your - responsibility to always use the right access mode when accessing - content. -

    - If you can, for example, decide at the API layer whether or not an - operation is going to ever need to modify an object, and know that - you will only ever use an instance in read only mode, load objects - with access mode read only, and not shared. -

    - Limit use of read-write objects to situations in which it is likely - you will need to perform updates. -

    - Imagine, for a moment, that these transactions were in DBLocked - mode - transactions which translate directly into locks on the - database. -

    - If you're opening something up for modification on the DB - - marking it as select FOR UPDATE - - then that row will be locked until you commit. - The database would prevent any other transaction that wants to - touch that row from doing anything to it, and it would block on - your transaction - deadlock at the SQL level. -

    - Castor does the same things internally for its own access modes - - Shared and Exclusive. Each has different locking semantics; - having good performance means understanding those locking semantics. -

    - For example - read only transactions (should be) cheap. - So there's no issue with holding those transactions open a - long time; because they only translate, for an instant, into - a lock. The lock is released the moment the load is completed - and the object is dropped into read-only state within your - transaction; read only operations therefore operate, pretty much, - without locking. -

    - The lock is of course acquired because you might also have it in - SHARED or EXCLUSIVE mode on another thread - and that read-only - operation isn't safe until those transactions close. -

    - Once the lock is released, you're lock-free again, so the - transaction basically has nothing in it that needs anything doing. -

    - That's not to say that holding transactions open is good practice - - but transactions should always be thought of as cheap to create - and destroy and expensive to hold on to - never do heavy - computation inside of one, unless you're willing to live with the - consequences that arise from holding transactions on object sets - that others might need to access. -

  6. - Query or load your objects read only - whenever possible. Even if castor creates a lock on them this does - not prevent other threads from reading or writing them. Read only - queries are also about 7 times faster compared with default - shared mode. -

    for queries:

    -String oql = "select o from FooBar o";
    -Query query = db.getOQLQuery(oql);
    -QueryResults results = query.execute(Database.ReadOnly);

    to load an object by its identity:

    -Integer id = new Integer(7);
    -Foo foo = (Foo) db.load(Foo.class, id, Database.ReadOnly);

    Default accessmode is evaluated as follows:

    -

    • - if specified castor uses access mode from db.load() - or query.execute(), -

    • - if this is not available it takes access mode specified - in class mapping, -

    • - if nothing is specified in mapping it defaults to shared. -

    -

    - One cannot stress how important this is: If 99% of your application - never writes an object, and you as a programmer know it won't, - then do something about it. If you're in a situation where you want - the object to be read-only most of the time, and only want a - writable every now and then, do so just-in-time by performing a - load-modify-store operation in a single transaction for the - shareable you want.

    - In other words: Don't use read-write objects unless you know you're likely - to want to write them. -

  7. - If there is a possibility you should prefer - Database.load(Class, object) over - Query.execute(String). I suggest that as - load() first tries to load the requested - object from cache and only retrieves it from database when it is - not available there. When executing queries with - Query.execute() the object will always - be loaded from database without looking at the cache. You may gain - a improvement by a factor of 10 and more when changing from - Query.execute() to - Database.load(). -

4.10.3. Further optimization

- We hope above suggestions help you to resolve the problems you have. - If you still need more performance there are areas of improvement - that are more difficult to resolve. For further ideas to improve - your applications performance you should take a loock at out performance - test suite (PTF) which you can find in Castor's source distribution under: - src/tests/ptf/jdo. -

- Now, there's lots left to do - there is still the issue, for example, - of dependent objects being slightly sub-optimal in performance both in - terms of the SQL that gets generated and the way it gets managed - - but there will be improvements over time to the way that this and - other operations are performed. -

- But performance should be good right now. If it isn't, you'll need to - think about whether you are using the optimal set of operations. - No environment can predict your requirements - hinting to the system when - objects can be safely assumed to be read-only is vital to a - high-performance implementation. -

- -
- -

Chapter 5. Castor JDO - Integration with Spring ORM

5.1. Usage

5.1.1. Getting started using Maven 2

- In order to start using the Spring ORM module for Castor JDO, you will - have to have Maven 2 installed: -

- As this project uses Maven 2 for build and deployment, all required - compile-time and run-time dependencies will automatically be resolved - by Maven 2 and deployed into your local Maven 2 repository. -

5.1.2. Project dependencies

- Please add the following Maven dependency to your POM to include the - Spring ORM package for Castor JDO - with your project: -

-<dependency>
-   <groupId>org.codehaus.castor</groupId>
-   <artifactId>spring-orm</artifactId>
-   <version>1.3</version>
-</dependency>
-      

- If you create a dependency against a SNAPSHOT release, you will - have to add the following <repository> element - to your POM as well, so that Maven 2 knows about the - Codehaus Snapshot repository when - trying to resolve and download dependencies. -

-<repository>
-    <id>codehaus-snapshots</id>
-    <name>Maven Codehaus Snapshots</name>
-    <url>http://snapshots.maven.codehaus.org/maven2/</url>
-</repository>
> - -

5.2. A high-level overview

- This guide assumes that you are an experienced Castor JDO users that knows how - to use Castor's interfaces and classes to interact with a database. If - this is not the case, please familiarize yourself with - Castor JDO first. -

5.2.1. Sample domain objects

- The sample domain objects used in here basically define a Catalogue, - which is a collection of Products. A possible castor JDO mapping could look - as follows:

-<class name="org.castor.sample.Catalogue">
-   <map-to table="catalogue"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="products" type="org.castor.sample.Product" collection="arraylist">
-      <sql many-key="c_id" />
-   </field>
-</class>
-
-<class name="org.castor.sample.Product">
-   <map-to table="product"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="description" type="string">
-      <sql name="desc" type="varchar" />
-   </field>
-</class>
-		

5.2.2. Using Castor JDO manually

- To e.g. load a given Catalogue instance as defined by its identity, - and all its associated Product instances, the following code could be used, - based upon the Castor-specific interfaces JDOManager and Database. -

-JDOManager.loadConfiguration("jdo-conf.xml");
-JDOManager jdoManager = JDOmanager.createInstance("sample");
-
-Database database = jdoManager.getDatabase();		
-database.begin();
-Catalogue catalogue = database.load(catalogue.class, new Long(1));
-database.commit();
-database.close();
-		

For brevity, exception handling has been omitted completely. But is is quite obvious - that - when using such code fragments to implement various methods of a DAO - - there's a lot of redundant code that needed to be written again and again - and exception - handling is adding some additional complexity here as well.

- Enters Spring ORM for Castor JDO, a small layer that allows usage of Castor JDO - through Spring ORM, with all the known benefits (exception conversion, templates, - tx handling). -

5.2.3. Using Castor JDO with Spring ORM - Without CastorTemplate

- Let's see how one might implement the loadProduct(int) of a - ProductDAO class with the help of Spring ORM using Castor - JDO: -

-public class ProductDaoImpl implements ProductDao {
-
-  private JDOManager jdoManager;
-
-  public void setJDOManager(JDOManager jdoManager) {
-    this.jdoManager = jdoManager;
-  }
-
-  public Product loadProduct(final int id) {
-    CastorTemplate tempate = new CastorTemplate(this.jdoManager);
-    return (Product) template.execute(
-        new CastorCallback() {
-          public Object doInJdo(Database database) throws PersistenceException {
-            return (Product) database.load(Product.class, new Integer (id));
-          }
-        });
-  }
-}
-		

- Still a lot of code to write, but compared to the above section, the DAO gets - passed a fully configured JDOManager instance through Spring's dependency - injection mechanism. All that's required is configuration of Castor's JDOManager - as a Spring bean definition in an Spring application context as - follows. -

-<bean id="jdoManager" class="org.castor.spring.orm.LocalCastorFactoryBean">
-  <property name="databaseName" value="test" />
-  <property name="configLocation" value="classpath:jdo-conf.xml" />
-</bean>
-
-<bean id="myProductDao" class="product.ProductDaoImpl">
-  <property name="JDOManager">
-    <ref bean="jdoManager"/>
-  </property>
-</bean>

5.2.4. Using Castor JDO with Spring ORM - With CastorTemplate

- Above code is still quite verbose, as it requires you to write short - (though complex) callback functions. To ease life of the Castor JDO - user even more, a range of template methods have been added to - CastorTemplate, allowing the implementation of - above ProductDAO to be shortened considerably. -

-public class ProductDaoImplUsingTemplate extends CastorTemplate implements ProductDao {
-
-  private JDOManager jdoManager;
-
-  public void setJDOManager(JDOManager jdoManager) {
-    this.jdoManager = jdoManager;
-  }
-
-  public Product loadProduct(final int id) {
-    return (Product) load(Integer.valueOf(id));
-  }
-  
-  ...
-}
-		

- Changing the bean definition for myProductDAO to ... -

-<bean id="myProductDao" class="product.ProductDaoImplUsingTemplate">
-  <property name="JDOManager">
-    <ref bean="myJdoManager"/>
-  </property>
-</bean>

- loading an instance of Product by its identifier - is reduced to ...

-ProductDao dao = (ProductDAO) context.getBean ("myProductDAO");
-Product product = dao.load(1);
-		

5.2.5. Using Castor JDO with Spring ORM - With CastorDaoSupport

- Alternatively to extending CastorTemplate, one could extend the - CastorDaoSupport class and implement the - ProductDAO as - follows. -

-public class ProductDaoImplUsingDaoSupport extends CastorDaoSupport implements ProductDao {
-
-  private JDOManager jdoManager;
-
-  public void setJDOManager(JDOManager jdoManager) {
-    this.jdoManager = jdoManager;
-  }
-
-  public Product loadProduct(final int id) {
-    return (Product) getCastorTemplate().load(Integer.valueOf(id));
-  }
-  
-  ...
-}
-		

- Changing the bean definition for myProductDAO to ... -

-<bean id="myProductDao" class="product.ProductDaoImplUsingDaoSupport">
-  <property name="JDOManager">
-    <ref bean="myJdoManager"/>
-  </property>
-</bean>

- the code to load an instance of Product still - is as shown above. -

5.3. Data access through Castor JDO with the Spring framework

We will start with a coverage of Hibernate in a Spring environment, using - it to demonstrate the approach that Spring takes towards integrating O/R - mappers. This section will cover many issues in detail and show different - variations of DAO implementations and transaction demarcations.

5.3.1. Resource management

Typical business applications are often cluttered with repetitive - resource management code. Many projects try to invent their own - solutions for this issue, sometimes sacrificing proper handling of - failures for programming convenience. Spring advocates strikingly - simple solutions for proper resource handling, namely IoC via - templating; for example infrastructure classes with callback - interfaces, or applying AOP interceptors. The infrastructure cares for - proper resource handling, and for appropriate conversion of specific API - exceptions to an unchecked infrastructure exception hierarchy. Spring introduces - a DAO exception hierarchy, applicable to any data access strategy. For - direct JDBC, the JdbcTemplate class mentioned in a previous section cares - for connection handling, and for proper conversion of SQLException to - the DataAccessException hierarchy, including translation of database-specific - SQL error codes to meaningful exception classes. It supports both JTA - and JDBC transactions, via respective Spring transaction managers.

This module implements Spring ORM/DAO support for Castor JDO, consisting of a - CastorTemplate analogous to JdbcTemplate, a CastorInterceptor, and a Castor - transaction manager. The major goal is to allow for clear application - layering, with any data access and transaction technology, and for - loose coupling of application objects. No more business service dependencies - on the data access or transaction strategy, no more hard-coded resource - lookups, no more hard-to-replace singletons, no more custom service - registries. One simple and consistent approach to wiring up application - objects, keeping them as reusable and free from container dependencies - as possible. All the individual data access features are usable on their - own but integrate nicely with Spring's application context concept, providing - XML-based configuration and cross-referencing of plain JavaBean instances - that don't need to be Spring-aware. In a typical Spring app, many important - objects are JavaBeans: data access templates, data access objects (that - use the templates), transaction managers, business services (that use - the data access objects and transaction managers), web view resolvers, web - controllers (that use the business services), and so on.

5.3.2. JDOManager setup in a Spring container

To avoid tying application objects to hard-coded resource lookups, - Spring allows you to define resources like a JDBC DataSource or a - Castor JDOManager as beans in an application context. Application objects - that need to access resources just receive references to such - pre-defined instances via bean references (the DAO definition in the - next section illustrates this). The following excerpt from an XML - application context definition shows how to set up a JDBC DataSource - and a Castor JDOManager on top of it:

-<beans>
-
-	<bean id="myDataSource"
-		class="org.apache.commons.dbcp.BasicDataSource"
-		destroy-method="close">
-		<property name="driverClassName" value="org.hsqldb.jdbcDriver" />
-		<property name="url" value="jdbc:hsqldb:hsql://localhost:9001" />
-		<property name="username" value="sa" />
-		<property name="password" value="" />
-	</bean>
-
-	<bean id="myJDOManager"
-		class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="test" />
-        <property name="configLocation" value="classpath:jdo-conf.xml" />
-	</bean>
-
-</beans>
-		

Note that switching from a local Jakarta Commons DBCP BasicDataSource - to a JNDI-located DataSource (usually managed by an application server) - is just a matter of configuration:

-<beans>
-
-	<bean id="myDataSource"
-		class="org.springframework.jndi.JndiObjectFactoryBean">
-		<property name="jndiName" value="java:comp/env/jdbc/myds" />
-	</bean>
-
-</beans>
-		

You can also access a JNDI-located SessionFactory, using Spring's - JndiObjectFactoryBean to retrieve and expose it. However, that is - typically not common outside of an EJB context.

5.3.3. The CastorTemplate

- The basic programming model for templating looks as follows, - for methods that can be part of any custom data access - object or business service. There are no restrictions on the - implementation of the surrounding object at all, it just - needs to provide a Castor JDOManager. It can get the - latter from anywhere, but preferably as bean reference from - a Spring application context - via a simple - setJDOManager(..) bean property setter. The following - snippets show a DAO definition in a Spring container, - referencing the above defined JDOManager, and an example - for a DAO method implementation. -

-<beans>
-
-	<bean id="myProductDao" class="org.exolab.castor.dao.ProductDaoImpl">
-	  <property name="JDOManager"><ref bean="jdoManager"/></property>
-	</bean>
-
-</beans>
-        
-public class ProductDaoImpl implements ProductDao {
-
-  private Castor castorTemplate;
-
-  public void setJDOManager(JDOManager jdoManager) {
-     this.castorTemplate = new CastorTemplate(jdoManager);
-  }
-
-  public Collection loadProductsByCategory(final String category) 
-     throws DataAccessException { 
-    return (Collection) this.castorTemplate.execute(
-       new CastorCallback() {
-          public Object doInCastor(Database database) throws PersistenceException {
-             database.begin();
-             OQLQuery query = database.getOQL("select p from org.exolab.castor.dao.ProductDao p " + 
-                " where p.category = ?");
-             query.bind(category);
-             QueryResults results = query.execute();
-             database.commit();
-             return Collections.list();
-          }
-    );
-  }
-}
-

A callback implementation can effectively be used for any Castor - data access. CastorTemplate will ensure that Database instances are - properly opened and closed, and automatically participate in - transactions. The template instances are thread-safe and reusable, they - can thus be kept as instance variables of the surrounding class.

For simple single step actions like a single find, load, saveOrUpdate, or - delete call, CastorTemplate offers alternative convenience methods - that can replace such one line callback implementations. Furthermore, - Spring provides a convenient CastorDaoSupport base class that - provides a setJDOManager(..) method for receiving a JDOManager, - and getJDOManager() and getCastorTemplate()for use by subclasses.

In combination, this allows for very simple DAO implementations for - typical requirements:

-public class ProductDaoImpl extends HibernateDaoSupport 
-   implements ProductDao {
-
-   public Collection loadProductsByCategory(String category) 
-      throws DataAccessException {
-      return this.getCastorTemplate().find("select p from
-test.Product product where p.category=?", category);
-   }
-}

5.3.4. Implementing Spring-based DAOs without callbacks

As alternative to using Spring's CastorTemplate to implement DAOs, - data access code can also be written in a more traditional fashion, - without wrapping the Hibernate access code in a callback, while still - complying to Spring's generic DataAccessException hierarchy. Spring's - CastorDaoSupport base class offers methods to access the current - transactional Database and to convert exceptions in such a scenario; - similar methods are also available as static helpers on the - JDOManagerUtils class. Note that such code will usually pass "false" - into the getDatabased(..) method's "allowCreate" argument, to enforce - running within a transaction (which avoids the need to close the - returned Database, as it's lifecycle is managed by the transaction).

-public class ProductDaoImpl extends HibernateDaoSupport 
-   implements ProductDao {
-
-   public Collection loadProductsByCategory(String category) 
-      throws DataAccessException, MyException {
-
-      Database database = getDatabase(getJDOManager(), false);
-      try {
-         List result = database.find( "select p from test.Product p where " + 
-            " product.category=?", category, Castor.STRING);
-         if (result == null) {
-            throw new MyException("invalid search result");
-         }
-         return result;
-      } catch (PersistenceException ex) {
-         throw convertCastorAccessException(ex);
-      }
-   }
-}
-        

The major advantage of such direct Castor JDO access code is that it - allows any checked application exception to be thrown within the data - access code, while CastorTemplate is restricted to unchecked - exceptions within the callback. Note that one can often defer the - corresponding checks and the throwing of application exceptions to after - the callback, which still allows working with CastorTemplate. In - general, the CastorTemplate class' convenience methods are simpler - and more convenient for many scenarios.

5.3.5. Programmatic transaction demarcation

Transactions can be demarcated in a higher level of the application, on - top of such lower-level data access services spanning any number of - operations. There are no restrictions on the implementation of the - surrounding business service here as well, it just needs a Spring - PlatformTransactionManager. Again, the latter can come from anywhere, - but preferably as bean reference via a setTransactionManager(..) method - - just like the productDAO should be set via a setProductDao(..) method.

The following snippets show a transaction manager and a business service - definition in a Spring application context, and an example for a - business method implementation.

-<beans>
-
-	<bean id="myTxManager"
-		class="org.castor.spring.orm.CastorTransactionManager">
-		<property name="jdoManager" ref="myJDOManager" />
-	</bean>
-
-	<bean id="myProductService" class="product.ProductServiceImpl">
-		<property name="transactionManager" ref="myTxManager" />
-		<property name="productDao" ref="myProductDao" />
-	</bean>
-
-</beans>
-        
-public class ProductServiceImpl implements ProductService {
-
-   private TransactionTemplate transactionTemplate; 
-   
-   private ProductDao productDao;
-
-   public void setTransactionManager(PlatformTransactionManager transactionManager) {
-      this.transactionTemplate = new TransactionTemplate(transactionManager);
-   }
-
-   public void setProductDao(ProductDao productDao) {
-      this.productDao = productDao;
-   }
-
-   public void increasePriceOfAllProductsInCategory(final String category) {
-      this.transactionTemplate.execute(
-         new TransactionCallbackWithoutResult() {
-            public void doInTransactionWithoutResult(TransactionStatus status) {
-               List productsToChange = productDAO.loadProductsByCategory(category); 
-               // do the price increase...
-            }
-         }
-      );
-   }
-}

5.3.6. Declarative transaction demarcation

Alternatively, one can use Spring's declarative transaction support, - which essentially enables you to replace explicit transaction - demarcation API calls in your Java code with an AOP transaction - interceptor configured in a Spring container. This allows you to keep - business services free of repetitive transaction demarcation code, and - allows you to focus on adding business logic which is where the real - value of your application lies. Furthermore, transaction semantics like - propagation behavior and isolation level can be changed in a - configuration file and do not affect the business service - implementations.

-<beans>
-
-	<bean id="myTxManager"
-		class="org.castor.spring.orm.CastorTransactionManager">
-		<property name="jdoManager" ref="myJDOManager" />
-	</bean>
-
-	<bean id="myProductService"
-		class="org.springframework.aop.framework.ProxyFactoryBean">
-		<property name="proxyInterfaces" value="product.ProductService" />
-		<property name="target">
-			<bean class="product.DefaultProductService">
-				<property name="productDao" ref="myProductDao" />
-			</bean>
-		</property>
-		<property name="interceptorNames">
-			<list>
-				<value>myTxInterceptor</value><!-- the transaction interceptor (configured elsewhere) -->
-			</list>
-		</property>
-	</bean>
-
-</beans>
-        
-public class ProductServiceImpl implements ProductService {
-
-   private ProductDao productDao;
-
-   public void setProductDao(ProductDao productDao) {
-      this.productDao = productDao;
-   }
-
-   // notice the absence of transaction demarcation code in this method 
-   // Spring's declarative transaction infrastructure will be demarcating
-   //transactions on your behalf 
-   public void increasePriceOfAllProductsInCategory(final String category) {
-      List productsToChange = this.productDAO.loadProductsByCategory(category); 
-      // ... 
-   }
-} 
-        

Spring's TransactionInterceptor allows any checked application exception - to be thrown with the callback code, while TransactionTemplate is - restricted to unchecked exceptions within the callback. - TransactionTemplate will trigger a rollback in case of an unchecked - application exception, or if the transaction has been marked - rollback-only by the application (via TransactionStatus). - TransactionInterceptor behaves the same way by default but allows - configurable rollback policies per method.

The following higher level approach to declarative transactions doesn't - use the ProxyFactoryBean, and as such may be easier to use if you have a - large number of service objects that you wish to make transactional.

[Note]Note

You are strongly encouraged to read the section entitled Section 9.5, - “Declarative transaction management” if you have not done so already - prior to continuing. -

-<?xml version="1.0" encoding="UTF-8"?>
-<beans xmlns="http://www.springframework.org/schema/beans"
-	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-	xmlns:aop="http://www.springframework.org/schema/aop"
-	xmlns:tx="http://www.springframework.org/schema/tx"
-	xsi:schemaLocation="
-       http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.0.xsd
-       http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.0.xsd
-       http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-2.0.xsd">
-
-	<!-- JDOManager, DataSource, etc. omitted -->
-
-	<bean id="myTxManager"
-		class="org.castor.spring.orm.CastorTransactionManager">
-		<property name="jdoManager" ref="myJDOManager" />
-	</bean>
-
-	<aop:config>
-		<aop:pointcut id="productServiceMethods"
-			expression="execution(* product.ProductService.*(..))" />
-		<aop:advisor advice-ref="txAdvice"
-			pointcut-ref="productServiceMethods" />
-	</aop:config>
-
-	<tx:advice id="txAdvice" transaction-manager="myTxManager">
-		<tx:attributes>
-			<tx:method name="increasePrice*" propagation="REQUIRED" />
-			<tx:method name="someOtherBusinessMethod"
-				propagation="REQUIRES_NEW" />
-			<tx:method name="*" propagation="SUPPORTS" read-only="true" />
-		</tx:attributes>
-	</tx:advice>
-
-	<bean id="myProductService" class="product.SimpleProductService">
-		<property name="productDao" ref="myProductDao" />
-	</bean>
-
-</beans>

5.3.7. Transaction management strategies

Both TransactionTemplate and TransactionInterceptor delegate the actual - transaction handling to a PlatformTransactionManager instance, which can - be a CastorTransactionManager (for a single Castor JDOManager, - using a ThreadLocal Database under the hood) or a JtaTransactionManager - (delegating to the JTA subsystem of the container) for Castor - applications. You could even use a custom PlatformTransactionManager - implementation. So switching from native Castor transaction - management to JTA, such as when facing distributed transaction - requirements for certain deployments of your application, is just a - matter of configuration. Simply replace the Castor transaction - manager with Spring's JTA transaction implementation. Both transaction - demarcation and data access code will work without changes, as they just - use the generic transaction management APIs.

For distributed transactions across multiple Castor JDOManager instances, - simply combine JtaTransactionManager as a transaction - strategy with multiple LocalCastorFactoryBean definitions. Each of your - DAOs then gets one specific JDOManager reference passed into it's - respective bean property. If all underlying JDBC data sources are - transactional container ones, a business service can demarcate - transactions across any number of DAOs and any number of session - factories without special regard, as long as it is using - JtaTransactionManager as the strategy.

-<beans>
-
-	<bean id="myDataSource1"
-		class="org.springframework.jndi.JndiObjectFactoryBean">
-		<property name="jndiName value=" java:comp/env/jdbc/myds1" />
-	</bean>
-
-	<bean id="myDataSource2"
-		class="org.springframework.jndi.JndiObjectFactoryBean">
-		<property name="jndiName" value="java:comp/env/jdbc/myds2" />
-	</bean>
-
-	<bean id="myJDOManager1"
-		class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="test1" />      
-        <property name="configLocation" value="classpath:jdo-conf-1.xml" />
-	</bean>
-
-	<bean id="myJDOManager2"
-		class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="test2" />      
-        <property name="configLocation" value="classpath:jdo-conf-2.xml" />
-	</bean>
-
-	<bean id="myTxManager"
-		class="org.springframework.transaction.jta.JtaTransactionManager" />
-
-	<bean id="myProductDao" class="product.ProductDaoImpl">
-		<property name="jdoManager" ref="myJDOManager1" />
-	</bean>
-
-	<bean id="myInventoryDao" class="product.InventoryDaoImpl">
-		<property name="jdoManager" ref="myJDOManager2" />
-	</bean>
-
-	<!-- this shows the Spring 1.x style of declarative transaction configuration -->
-	<!-- it is totally supported, 100% legal in Spring 2.x, but see also above for the sleeker, Spring 2.0 style -->
-	<bean id="myProductService"
-		class="org.springframework.transaction.interceptor.TransactionProxyFactoryBean">
-		<property name="transactionManager" ref="myTxManager" />
-		<property name="target">
-			<bean class="product.ProductServiceImpl">
-				<property name="productDao" ref="myProductDao" />
-				<property name="inventoryDao" ref="myInventoryDao" />
-			</bean>
-		</property>
-		<property name="transactionAttributes">
-			<props>
-				<prop key="increasePrice*">PROPAGATION_REQUIRED</prop>
-				<prop key="someOtherBusinessMethod">
-					PROPAGATION_REQUIRES_NEW
-				</prop>
-				<prop key="*">PROPAGATION_SUPPORTS,readOnly</prop>
-			</props>
-		</property>
-	</bean>
-
-</beans>
-        

Both CastorTransactionManager and JtaTransactionManager allow for - proper JVM-level cache handling with Castor - without - container-specific transaction manager lookup or JCA connector (as long - as not using EJB to initiate transactions).

CastorTransactionManager can export the JDBC Connection used by - Castor to plain JDBC access code, for a specific DataSource. This - allows for high-level transaction demarcation with mixed Castor/JDBC - data access completely without JTA, as long as you are just accessing - one database! CastorTransactionManager will automatically expose the - Castor transaction as JDBC transaction if the passed-in - JDOManager has been set up with a DataSource (through the - "dataSource" property of the LocalCastorFactoryBean class).

Alternatively, the DataSource that the transactions are supposed to be - exposed for can also be specified explicitly, through the "dataSource" - property of the CastorTransactionManager class.

5.4. Build instructions

5.4.1. Prerequisites

- In order to build the Sping ORM module for Castor JDO, you will have - the following requirements met on your system: -

  • Download and install Maven 2

  • Download and install a Subversion client.

- As this project uses Maven 2 for build and deployment, all required - compile-time dependencies will automatically be resolved by Maven 2 - and deployed into your local Maven 2 repository. -

5.4.2. Building the Spring ORM module

- This section describes how to build the Spring module from a command - line using Maven 2. Whilst there is support for Maven 2 in various - IDEs (including e.g. Eclipse, IDEA, etc.), using the Maven command - line seems to be the most adequate least common denominator. -

- This section assumes that you have ckecked out the latest sources - from the SVN repsitory for the Spring ORM module for Castor JDO. - Instructions for doing so are provided - here. -

- Open a command line (shell) on your system, and issue the following - commands: -

- > mvn jar            
-        

- Above command will compile the sources and create the distribution JAR - in the target directory of the project root. -

- To install the newly created distribution JAR into your local Maven 2 - repository, please issue the following command: -

- > mvn install            
-        

- To create the complete project documentation - in addition to - the distribution assembly, please issue ... -

- > mvn site            
-        
- -

Chapter 6. Castor JDO - Support for the JPA specification

6.1. JPA annotations - Motivation

- It has always been a goal of the Castor JDO project to - eventually fully support the JPA specification and become a - first class JPA provider that can e.g. be easily integrated - with Spring ORM. Whilst full compliance is still work - in progress, there are several small areas where sufficient - progress has been made, and where partial support - will be made available to the user community. -

- One such area is (partial) support for JPA annotations. This chapter - highlights how JPA-annotated Java classes can be used with - Castor JDO to persist such classes through the existing persistence - framework part of Castor, without little additional requirements. -

- The following sections describe ... -

  1. The prerequisites.

  2. The current limitations.

  3. The supported JPA annotations.

  4. How to use Castor JDO to persist JPA-annotated classes.

  5. How to use Castor JDO as Spring ORM provider to persist JPA-annotated classes.

6.2. Prerequisites and outline

- The following sections assume that you have a (set of) JPA-annotated - domain classes which you would like to persist using - Castor JDO. -

- As such, we explain how to enlist those classes with - Castor JDO (through the JDOClassDescriptorResolver - interface, so that Castor JDO will be able to find and work with your - JPA-annotated classes. In addition, we explain how to achieve the same - with Spring ORM and the Spring ORM provider for Castor JDO. -

- By the end of this chapter is should become obvious that - Castor JDO is well-prepared to integrate with the annotation part of the - JPA specification, although support for JPA annotations is - currently limited. -

6.3. Limitations and Basic Information

6.3.1. persistence.xml

- In Castor JPA there is no use or support for a JPA - persistence.xml configuration file for - now. All required configuration needs to be supplied by one - of the following means: -

  • Castor JDO configuration file.

  • JDOClassDescriptorResolver configuration.

  • Spring configuration file for the Spring ORM provider for Castor JDO.

6.3.2. JPA access type and the placing of JPA annotations

- Because Castor does not support direct field access, this - feature is not supported by Castor JPA. Thus all annotations have - to be defined on the getter methods of the fields. If JPA related - annotations are found on fields, Castor will throw an - exception. -

6.3.3. Primary Keys

- Primary keys made of single fields are supported by Castor as defined - in the JPA specification (through the use of the @Id annotation). If - you need to define composite primary keys, please note that that - Castor does not support relations - with composite primary keys. -

- If you still want to persist single classes with the use of - composite primary keys, none of the available JPA annotations - (@EmbeddedId or @IdClass) is supported as such. Instead Castor - uses a kind of ad-hoc IdClass mechanism. Simply - define multiple @Id annotations on the fields that make up your - composite primary key, and Castor JDO will internally create the - relevant constructs. -

6.3.4. Inheritance, mapped superclasses, etc.

- These JPA annotations are currently not - supported by Castor JDO. For now, you can only define entities. -

6.3.5. Relations

- Besides the fact, that Castor does not support composite primary keys - in relations, there are some limitations on the different kinds of - relations between entities. For detailed information, please read the - documentation about the different relations types further below. -

6.4. An outline of JPA-Annotations

-

S ... Supported
PS ... Partially Supported
NS ... Not Supported

-

Table 6.1. JPA-Annotations

AnnotationSupportedComment
AssociationOverride - NS -  
AssociationOverrides - NS -  
AttributeOverride - NS -  
AttributeOverrides - NS -  
Basic - S - See information on Castor fetch types!
Column - PS - Supported: column name, nullable
ColumnResult - NS -  
DiscriminatorColumn - NS - Castor does not support Joined Table Class Hierachy. -
DiscriminatorValue - NS - Castor does not support Joined Table Class Hierachy. -
Embeddable - NS -  
Embedded - NS -  
EmbeddedId - NS - Castor does not support composed primary keys embedded - in classes of their own.
Entity - S - This annotation is needed to tell Castor that this Class - is an entity.
EntityListeners - S -  
EntityResult - NS -  
Enumerated - S -  
ExcludeDefaultListeners - S -  
ExcludeSuperclassListeners - S -  
FieldResult - NS -  
GeneratedValue - NS -  
Id - S - Use this annotation to make a field a primary key (or - part of it).
IdClass - NS - Castor creates IdClass-like behaviour implicity when - you define multiple Id fields. Castor does not support composed - primary keys in relations!
Inheritance - NS -  
JoinColumn - PS - Supported: name
JoinColumns - NS - This is not supported because Castor does not support - composed keys in relations.
JoinTable - PS - Supported: name, joincolumns, inverseJoincolumns -
Lob - S -  
ManyToMany - PS - this is not tested properly yet.
ManyToOne - PS - Supported: targetEntity, fetch, optional, cascade - - Relations MUST BE optional! Required relations are not supported. -
MapKey - NS -  
MappedSuperclass - NS -  
NamedQuery - S - This annotation is used to specify a named query in OQL.
NamedQueries - S - This annotation specifies an array of named queries
NamedNativeQuery - S - This annotation is used to specify a native SQL named query.
NamedNativeQueries - S - This annotation specifies an array of named native queries.
OneToMany - PS - Supported: targetEntity, fetch, mappedBy, cascade
OneToOne - PS - Supported: targetEntity, fetch, optional, cascade - - Relations MUST BE optional! Required relations are not supported. -
OrderBy - NS -  
PersistenceContext - NS -  
PersistenceContexts - NS -  
PersistenceProperty - NS -  
PersistenceUnit - NS -  
PersistenceUnits - NS -  
PostLoad - S -  
PostPersist - S -  
PostRemove - S -  
PostUpdate - S -  
PrePersist - S -  
PreRemove - S -  
PreUpdate - S -  
PrimaryKeyJoinColumn - NS -  
PrimaryKeyJoinColumns - NS -  
QueryHint - NS -  
SecondaryTable - NS -  
SecondaryTables - NS -  
SequenceGenerator - NS -  
SqlResultSetMapping - NS -  
SqlResultSetMappings - NS -  
Table - PS - Supported: name
TableGenerator - NS -  
Temporal - S -  
Transient - S -  
UniqueConstraint - NS -  
Version - NS -  

6.5. Usage of JPA annotations - Configuration

- This selection of HOW-TOs will show you how to persist - JPA-annotated classes with Castor JDO, and will outline - the required steps for each of the following cases: -

  • Singular (stand-alone) entities

  • 1:1 relations

  • 1:M relations

  • M:N relations

6.5.1. HOW-TO persist a single class (@Entity, @Table, @Id)

- The goal is to take an existing JPA-annotated class - Single and persist it with - Castor JDO. Let's first have a look at the domain class - itself, first without JPA annotattions. -

-public class Single {
-   private int id;
-   private String name;
-   
-   public int getId() { ... }
-   
-   public void setId(int id ) { ... }
-   
-   public String getName() { ... }
-   
-   public void setName(String name) { ... }
-}
-        

- Here's the same class again, this time with JPA - annotations. -

-@Entity
-@Table(name="mySingleTable")
-public class Single {
-   private int id;
-   private String name;
-   
-   @Id
-   @Column(name="id")
-   public int getId() { ... }
-   
-   public void setId(int id) { ... }
-   
-   public String getName() { ... }
-   
-   public void setName(String name) { ... }
-}
-        

- As shown, the class Single is - mapped against the table mySingleTable, - and its fields id and name - are mapped to the columns id and - name, where the column name for the - id property is supplied explicitly and - where the column name for the name - property is derived from the property itself. -

- Next point is to create an DAO interface and - its implementation where we will be using - CastorDaoSupport from Castor's - support for Spring ORM to implement the required methods. -

-public interface SingleDao {
-	
-    void save(Single single);
-	
-    Single get(int id);
-	
-    void delete(Single single);
-
-}
-   
-public class SingleCastorDao extends CastorDaoSupport implements SingleDao {
-
-    public void delete(Single single) {
-        this.getCastorTemplate().remove(single);
-    }
-
-    public Single get(int id) {
-        return (Single) this.getCastorTemplate().load(Single.class, new Integer(id));
-    }
-
-    public void save(Single single) {
-        this.getCastorTemplate().create(single);
-    }
-}
-   

- There's one small final code change needed: For Castor to be able to work - with JPA-annotated classes, you have to configure an instance of - JDOClassDescriptorResolver and pass - it to your JDOManager, else Castor - won't be able to see those class files. Simply add - the individual classes one by one or the package(s) - as shown below: -

-JDOClassDescriptorResolver resolver = new JDOClassDescriptorResolverImpl();
-resolver.addClass(org.castor.jpa.Single.class);
-// or alternatively you can add the package:
-resolver.addPackage("org.castor.jpa");
-		
-InputSource jdoConfiguration = ...;
-JDOManager.loadConfiguration(jdoConfiguration, null, null, resolver);
-		
-JDOManager jdoManager = JDOManager.createInstance("jpa-extensions");
-...
-        

6.5.2. HOW-TO persist a 1:1 relation (@OneToOne)

- The goal is to take the existing JPA-annotated classes - OneToOne_A and OneToOne_B - and persist them with Castor JDO. Let's first have a look - at the domain classes themselves, this time with JPA - annotations already in place. -

-@Entity
-public class OneToOne_A {
-
-   private int id;
-   private String title;
-   
-   @Id
-   @Column(name = "id")
-   public int getId() { ... }
-   
-   public void setId(int id) { ... }
-   
-   @Column(name = "name")
-   public String getTitle() { ... }
-   
-   public void setTitle(String title) { ... }
-}
-   
-@Entity
-@Table(name="OneToOne_B")
-public class B {
-
-   private int id;
-   private String name;
-   private OneToOne_A objA;
-   
-   @Id
-   @Column(name = "id")
-   public int getId() { ... }
-   
-   public void setId(int id) { ... }
-   
-   @Column(name = "name")
-   public String getName() { ... }
-   
-   public void setName(String name) { ... }
-   
-   @OneToOne(optional=false)
-   public OneToOne_A getOneToOne_A() { ... }
-   
-   public void setOneToOne_a(OneToOne_A objA) { ... }
-}
-        

- As shown, the class OneToOne_A is - mapped against the table OneToOne_A - (implicit mapping), and the B - against the table OneToOne-B (explicit - mapping). Please note the @OneToOne annotation - that specifies the 1:1 relation from class - B to class - OneToOne_A. -

- As with the example shown further above, do not forget to - register all classes involved with the - JDOClassDescriptorResolver - as shown below: -

JDOClassDescriptorResolver fragment:

-resolver.addClass(org.castor.jpa.OneToOne_A.class);
-resolver.addClass(org.castor.jpa.B.class);
-        

or with the addPackage method:

-resolver.addPackage("org.castor.jpa");
-        

6.5.3. Persist one to many relation (@OnetoMany)

First we have to annotate our java classes.

-    @Entity
-    @Table(name="OneToMany_actor")
-    public class Actor {
-    
-        private int svnr;
-        private String lastname;
-        private String firstname;
-    
-        @Id
-        public int getSvnr() { ... }
-        
-	public void setSvnr(int svnr) { ... }
-    
-        @Column(name="surname")
-        public String getLastname() { ... }
-        public void setLastname(String lastname) { ... }
-    
-        @Column(name="firstname")
-        public String getFirstname() { ... }
-        public void setFirstname(String firstname) { ... }
-    }
-    
-    @Entity 
-    @Table(name="OneToMany_broadcast") 
-    public class Broadcast { 
-     
-        private int id; 
-        private String name; 
-        private Collection<Actor> actors; 
-     
-        @Id 
-        public int getId() { ... } 
-	
-        public void setId(int id) { ... } 
-     
-        public String getName() { ... } 
-     
-        public void setName(String name) { ... } 
-     
-        @OneToMany(targetEntity=Actor.class, mappedBy="actor_id") 
-        public Collection<Actor>  getActors() { ... } 
-     
-        public void setActors(Collection<Actor> actors) { ... }
-    } 
-   

What you see is that with the small modification you can persist one to many relations easily.

Last don't forget to change your JDOClassDescriptorResolver accordingly.

6.5.4. HOW-TO create and use a named query (@NamedQuery)

- The @NamedQuery annotation is used to specify a - named query in castor's own query language (OQL) and it is expressed - in metadata. The annotation takes the name and - an OQL query as parameters. -

- To define a named query, we first need a persistence entity where we - can attach the @NamedQuery annotation. -

-package your.package;
-
-@Entity
-@NamedQuery(name = "findPersonByName", 
-            query = "SELECT p FROM your.package.Person p WHERE p.name = $1")
-public class Person {
-
-    private long id;
-    private String name;
-
-	@Id
-	public long getId() {...}
-
-	public void setId(final long id) {...}
-
-	public String getName() {...}
-
-	public void setName(final String name) {...}
-}
-        

- As you can see, we defined a query using the name - findPersonByName. The query itself uses - $1 as a placeholder in its WHERE-clause, - which must be bound when executing the query. -

- The following code sample illustrates how to execute the named query defined - above: -

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("findPersonByName");                           (1)
-query.bind("Max Mustermann");                                                          (2)
-final QueryResults queryResults = query.execute();                                     (3)
-final Person queriedPerson = (Person) queryResults.next();
-queryResults.close();
-db.commit();
-            

Let's have a closer look on some of the lines from this example.

1

... creates an OQL query using the above defined named query.

2

.. binds the placeholder $1 to a value.

3

... executes the query and handle the results.

6.5.5. HOW-TO create and use multiple named queries (@NamedQueries)

The @NamedQueries annotation is used to specifiy - multiple named queries. -

-package your.package;
-
-@Entity
-@NamedQueries({
-    @NamedQuery(name = "findPersonByName",
-                query = "SELECT p FROM your.package.Person p WHERE p.name = $1"),
-    @NamedQuery(name = "findPersonById",
-                query = "SELECT p FROM you.package.Person p WHERE p.id = $1")
-})
-public class Person {
-
-    private long id;
-    private String name;
-
-    @Id
-    public long getId() {...}
-
-    public void setId(final long id) {...}
-
-    public String getName() {...}
-
-    public void setName(final String name) {...}
-}
-        

In the obove example we defined two named queries, namly - findPersonByName and findPersonById. - The usage of each query is identical to the usasage of a single named query. -

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("findPersonById");
-query.bind(1000L);
-final QueryResults queryResults = query.execute();
-final Person queriedPerson = (Person) queryResults.next();
-queryResults.close();
-db.commit();
-            

6.5.6. HOW-TO create and use a named native query (@NamedNativeQuery)

A named native query is a named query using native SQL syntax - instead of castor's own query language. The handling of the annotation - is similar to named queries.

First we need a entity to attach a query.

-@Entity
-@Table(name = personTable)
-@NamedNativeQuery(name = "selectAllPersons",
-                  query = "SELECT * FROM personTable")
-public class Person {
-
-    private long id;
-    private String name;
-
-	@Id
-	public long getId() {...}
-
-	public void setId(final long id) {...}
-
-	public String getName() {...}
-
-	public void setName(final String name) {...}
-}
-        

Although the query itself is written - in native SQL syntax, we - again - use a OQLQuery object - to execute the query.

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("selectAllPersons");
-final QueryResults queryResults = query.execute();
-... //process the results
-queryResults.close();
-db.commit();
-        

6.5.7. HOW-TO create and use multiple named native queries (@NamedNativeQueries)

The @NamedNativeQueries annotation is used to specifiy - multiple named native SQL queries. -

-package your.package;
-
-@Entity
-@Table(name = personTable)
-@NamedNativeQueries({
-    @NamedNativeQuery(name = "selectAllPersons",
-                      query = "SELECT * FROM personTable"),
-    @NamedNativeQuery(name = "findMustermann",
-                      query = "SELECT * FROM personTable WHERE name='Max Mustermann' and id=1000")
-})
-public class Person {
-
-    private long id;
-    private String name;
-
-    @Id
-    public long getId() {...}
-
-    public void setId(final long id) {...}
-
-    public String getName() {...}
-
-    public void setName(final String name) {...}
-}
-        

As we have already seen, the usage of the two above defined queries - is equivalent to the usage of a single named native query. -

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("findMustermann");
-final QueryResults queryResults = query.execute();
-final Person maxMustermann = (Person) queryResults.next();
-queryResults.close();
-db.commit();
-        

6.5.8. HOW-TO use persistence callbacks

- The following annotations can be used for handling persistence callbacks via JPA: -

  • PostLoad
  • PrePersist
  • PostPersist
  • PreUpdate
  • PostUpdate
  • PreRemove
  • PostRemove

-

- Additionally, there are the following listener-related annotations: -

  • EntityListeners
  • ExcludeDefaultListeners
  • ExcludeSuperclassListeners

-

- So, here's a basic usage example: -

-@Entity
-public class Person {
-
-    private final Log log = LogFactory.getLog(this.getClass());
-
-    private long id;
-    private String name;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    public String getName() {
-        return name;
-    }
-
-    public void setName(final String name) {
-        this.name = name;
-    }
-
-    @PostLoad
-    protected void testPostLoadCallbackHooking() {
-        log.debug(String.format("Hello from `PostLoad`. My name is %s.",
-                this.name));
-    }
-
-    @PrePersist
-    protected void validateCreation() {
-        if (this.name.equals("Max Mustermann")) {
-            throw new PersistenceException(String.format(
-                    "Person mustn't be called %s.", this.name));
-        }
-    }
-
-    @PostPersist
-    protected void validatePersistence() {
-        if (this.name.equals("Manfred Mustermann")) {
-            throw new PersistenceException(String.format(
-                    "Person shouldn't be called %s either.", this.name));
-        }
-    }
-
-    @PreRemove
-    protected void validateRemoval() {
-        if (this.name.equals("Max Musterfrau")) {
-            throw new PersistenceException(this.name + " mustn't be removed.");
-        }
-    }
-
-    @PostRemove
-    protected void validateDeletion() {
-        if (this.name.equals("Manfred Musterfrau")) {
-            throw new PersistenceException(this.name
-                    + " shouldn't be removed either.");
-        }
-    }
-
-    @PreUpdate
-    protected void validateModification() {
-        if (this.name.equals("Max Musterfrau")) {
-            throw new PersistenceException(String.format(
-                    "Person mustn't be renamed to %s.", this.name));
-        }
-    }
-
-    @PostUpdate
-    protected void validateUpdating() {
-        if (this.name.equals("Hans Wurst")) {
-            throw new PersistenceException(String.format(
-                    "Person shouldn't be renamed to %s either.", this.name));
-        }
-    }
-
-}
-    

- As one can see from this example, such callbacks can e.g. be used for - handling validation based on CRUD (create, retrieve, update, delete) - operation events. -

- Furthermore, there are possibilites to define listeners which allow for - decoupling callback handling from entities. -

- Here's an example for that: -

-@Entity
-@EntityListeners(DogListener.class)
-public class Dog extends Animal {
-
-    private long id;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-}
-
-// Corresponding listener.
-public class DogListener {
-
-    @PostPersist
-    protected void postPersistDogListener() {
-        // Do something.
-    }
-
-}
-    

- Apart from that, ExcludeDefaultListeners and - ExcludeSuperclassListeners enable specifying - exclusion of listeners within an inheritance chain of entities. -

6.5.9. HOW-TO use @Enumerated

- Enumerated can be used to persist - Enum types. -

- Here's an example: -

-@Entity
-public class EnumEntity {
-
-    private long id;
-    private StringEnum stringEnum;
-    private OrdinalEnum ordinalEnum;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    @Enumerated(STRING)
-    public StringEnum getStringEnum() {
-        return stringEnum;
-    }
-
-    public void setStringEnum(final StringEnum stringEnum) {
-        this.stringEnum = stringEnum;
-    }
-
-    public OrdinalEnum getOrdinalEnum() {
-        return ordinalEnum;
-    }
-
-    public void setOrdinalEnum(final OrdinalEnum ordinalEnum) {
-        this.ordinalEnum = ordinalEnum;
-    }
-
-}
-    

- So, by default enums are serialized to their corresponding ordinal - value representations for persistence. In this case, it's also - sufficient to skip explicitly defining so via - Enumerated. If serialization to respective string - name representations is preferred annotating accordingly is required. -

6.5.10. HOW-TO use @Temporal

- This annotation can be used to specify properties mapped to temporal - data structures. -

Example:

-@Entity
-public class Person {
-
-    private long id;
-    private Date birthDate;
-    private Date anotherDate;
-    private Date yetAnotherDate;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    @Temporal(TIMESTAMP)
-    public Date getBirthDate() {
-        return birthDate;
-    }
-
-    public void setBirthDate(final Date birthDate) {
-        this.birthDate = birthDate;
-    }
-
-    @Temporal(TIME)
-    public Date getAnotherDate() {
-        return anotherDate;
-    }
-
-    public void setAnotherDate(final Date anotherDate) {
-        this.anotherDate = anotherDate;
-    }
-
-    @Temporal(DATE)
-    public Date getYetAnotherDate() {
-        return yetAnotherDate;
-    }
-
-    public void setYetAnotherDate(final Date yetAnotherDate) {
-        this.yetAnotherDate = yetAnotherDate;
-    }
-
-}
-    

- So, it's possible to say which underlying DB-based field data structure - to use (datetime, date or time). -

6.5.11. HOW-TO use @Lob

- Here's an example for that: -

-@Entity
-public class LobEntity {
-
-    private long id;
-    private String clob;
-    private byte[] blob;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    @Lob
-    public String getClob() {
-        return clob;
-    }
-
-    public void setClob(final String clob) {
-        this.clob = clob;
-    }
-
-    @Lob
-    public byte[] getBlob() {
-        return blob;
-    }
-
-    public void setBlob(final byte[] blob) {
-        this.blob = blob;
-    }
-
-}
-    

- Consequently, default behavior here is to serialize to - CLOB for character-based data and to - BLOB for data based on byte arrays (i.e., files). -

6.6. Integration with Spring ORM for Castor JDO

- This guide will show you how to enable the use of JPA annotations - with Castor JDO in the context of Spring, Spring ORM and the - existing Spring ORM support for Castor JDO. -

6.6.1. A typical sample

- Let's look at a typical Spring configuration file - that shows how to use Castor JDO with Spring as a - Spring ORM provider. -

spring-config.xml

-<beans xmlns="http://www.springframework.org/schema/beans" 
-       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
-       xmlns:tx="http://www.springframework.org/schema/tx"
-       xsi:schemaLocation="http://www.springframework.org/schema/beans 
-          http://www.springframework.org/schema/beans/spring-beans-2.0.xsd
-          http://www.springframework.org/schema/tx 
-          http://www.springframework.org/schema/tx/spring-tx-2.5.xsd">
-    
-    <!-- Enable transaction support using Annotations -->
-    <tx:annotation-driven transaction-manager="transactionManager" />
-    
-    <bean id="transactionManager" 
-          class="org.castor.spring.orm.CastorTransactionManager">
-          <property name="JDOManager" ref="jdoManager" /> 
-    </bean>
-
-    <bean id="jdoManager"
-        class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="dbName" />
-        <property name="configLocation" value="jdo-conf.xml" />
-    </bean>
-    
-    <bean id="singleDao" class="SingleCastorDao">
-        <property name="JDOManager">
-            <ref bean="jdoManager"/>
-        </property>
-    </bean>
-</beans> 
-        

- Above Spring application context configures the following - Spring beans: -

  • A factory bean for JDOManager instantiation

  • A Castor-specific transaction manager.

  • The DAO implementation as shown above.

- As shown above, the bean definition for the - JDOManager factory bean points to - a Castor JDO configuration file (jdo-conf.xml), - whose content is shown below: -

jdo-conf.xml

-<!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration DTD Version 1.0//EN""http://castor.org/jdo-conf.dtd">
-<jdo-conf>
-  <database name="dbName" engine="mysql">
-     <driver url="jdbc:mysql://localhost:3306/single" 
-             class-name="com.mysql.jdbc.Driver">
-        <param name="user" value="user" />
-        <param name="password" value="password" />
-     </driver>
-     <mapping href="mapping-empty.xml" />
-  </database>
-  <transaction-demarcation mode="local" />
-</jdo-conf>
-        

- More on how to configure the Spring ORM provider for - Castor JDO can be found at TBD. -

6.6.2. Adding a JDOClassDescriptorResolver configuration

- In order to use JPA-annotated classes with the Spring ORM provider - for Castor JDO, you will have to use and configure a - JDOClassDescriptorResolver through an - additional bean definition and link it to your - JDOManager bean factory definition. -

-<beans xmlns="http://www.springframework.org/schema/beans" 
-          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
-          xmlns:tx="http://www.springframework.org/schema/tx"
-          xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.0.xsd
-          http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd">
-    
-    ...
-
-    <bean id="classDescriptorResolver"                                                 (1)
-          class="org.castor.spring.orm.ClassDescriptorResolverFactoryBean">
-        <property name="classes">
-            <list>
-                <value>org.castor.jpa.test.Single</value>
-            </list>
-        </property>
-    </bean>
-
-    ...
-    
-    <bean id="jdoManager"
-        class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="dbName" />
-        <property name="configLocation" value="jdo-conf.xml" />
-        <property name="classDescriptorResolver" ref="classDescriptorResolver" />      (2)
-    </bean>
-    
-    ...
-</beans> 
-            

- where .... -

1

- Defines a JDOClassDescriptorResolver - bean enlisting all the Java (domain) classes that - carry JPA annotations. -

2

- links the JDOClassDescriptorResolver - bean to the classDescriptorResolver property - of the JDOManager bean definition. -

- If your domain classes share a set of packages, it is also - possible to enlist those packages with the - JDOClassDescriptorResolver bean, replacing - the bean definition shown above as follows: -

-    <bean id="classDescriptorResolver"
-          class="org.castor.spring.orm.ClassDescriptorResolverFactoryBean">
-        <property name="packages">
-            <list>
-                <value>org.castor.jpa.test</value>
-            </list>
-        </property>
-    </bean>
-        

6.6.3. JPA Callbacks

- In order to enable JPA callbacks handling via Spring ORM following - exemplary config snippet is required: -

-<bean id="jdoManager" class="org.castor.spring.orm.LocalCastorFactoryBean">
-    <property name="databaseName" value="testSimple" />
-    <property name="configLocation"
-        value="classpath:org/castor/jpa/scenario/callbacks/derby-jdo-conf.xml" />
-    <property name="classDescriptorResolver" ref="classDescriptorResolver" />
-    <property name="callbackInterceptor" ref="jpaCallbackHandler" />
-</bean>
-
-<bean id="jpaCallbackHandler" class="org.castor.jdo.jpa.info.JPACallbackHandler" />
-        

6.7. Castor JPA Extensions

- This section describes all JPA-extensions provided by Castor. -

6.7.1. @Cache and @CacheProperty

- In order to get the maximum out of the chosen built-in or - external cache engine Castor provides a generic way to - specify properties in a vendor-independent way. - Castor allows for cache-tuning on a per-entity basis by - simply providing key-value pairs with the @CacheProperty - annotation in the @Cache container annnotation. -

-            @Entity
-            @Cache({
-                @CacheProperty(key="type", value="ehcache"),
-                @CacheProperty(key="capacity", value="50")
-            })
-            @Table(name="Cache_limited")
-            public class LimitedCachingEntity implements CacheTestEntity {
-            
-                private long id;
-                private String name;
-            
-                @Id
-                public long getId() {
-                    return id;
-                }
-            
-                public void setId(final long id) {
-                    this.id = id;
-                }
-            
-                public String getName() {
-                    return name;
-                }
-            
-                public void setName(final String name) {
-                    this.name = name;
-                }
-            
-            }
-        

- @Cache is based on Castor JDO and uses its default - settings: 'count-limited' as cache type with a capacity of 30 entries. -

- -

Chapter 7. DDL generator for Castor JDO

7.1. Castor DDL Generator - An Introduction

- Describes how to use the DDL Generator, and what features and options are - currently supported. -

- Castor DDL Generator creates SQL scripts to drop/create tables, unique keys, - sequences and so on based on the input of a Castor JDO mapping file. -

-java org.castor.ddlgen.Main -m mapping.xml
-	

- This will generate the SQL script mapping.sql in the same directory - mapping.xml is located. -

7.1.1. DDL Generator Options

- The DDL Generator has a number of different options which may be set. Some of - them are specified at the command line while others need to be configured through - a property file. Most of the options are located in global properties file - org/castor/ddlgen/ddlgen.properties, but there are also some - options that are specific for one database engine. These DB-specific properties can - be found at org/castor/ddlgen/engine/<database>/<database>.properties. -

7.1.1.1. Command Line Options

Table 7.1. Command line options

OptionArgsDescriptionOptional?
mfilenameCastor JDO mapping file to generate DDL for.Required
ofilenameName of file the generated DDL will be written to. If not specified the - generated DDL will be written to a file named similar as the Castor JDO - mapping source file with xml extension being replaced by - sql.Optional
edatabase engineName of database engine to generate DDL for. The engine used as default - can be specified with org.castor.ddlgen.DefaultEngine option of - global properties file.Optional
cfilenameAlternative global properties file to be used when generating DDL.Optional
dfilenameAlternative database specific properties file to be used when generating DDL.Optional
h Shows help/usage information.Optional

7.1.2. Database Engines

- The DDL Generator supports generation of SQL scripts for the following - database engines: -

Table 7.2. Description of the attributes

NameDatabase engineProperty file
db2DB/2org/castor/ddlgen/engine/db2/db2.properties
derbyApache Derbyorg/castor/ddlgen/engine/derby/derby.properties
hsqlHypersonic SQLorg/castor/ddlgen/engine/hsql/hsql.properties
mssqlMicrosoft SQL Serverorg/castor/ddlgen/engine/mssql/mssql.properties
mysqlMySQLorg/castor/ddlgen/engine/mysql/mysql.properties
oracleOracleorg/castor/ddlgen/engine/oracle/oracle.properties
pointbaseBorland Pointbaseorg/castor/ddlgen/engine/pointbase/pointbase.properties
postgresqlPostgreSQLorg/castor/ddlgen/engine/postgresql/postgresql.properties
sapdbSAP DB / MaxDBorg/castor/ddlgen/engine/sapdb/sapdb.properties
sybaseSybaseorg/castor/ddlgen/engine/sybase/sybase.properties

7.2. Using the Ant task for the Castor DDL Generator

- Describes how to use the Ant task for the Castor DDL Generator and its features. -

- An alternative to using the command line as shown in the previous section, - the Castor DDL Generator Ant Task can be used to call the DDL - generator for class generation. The only requirement is that the - castor-<version>-anttasks.jar must be made available to your Ant - installation. -

7.2.1. Configuration

- Please find below the complete list of parameters that can be set on the Castor - source generator. -

Table 7.3. 

AttributeDescriptionRequired?
fileThe name of the Castor JDO mapping file to use as input for DDL generation.Yes
ddlFileNameThe name of the DDL file to be generated.Yes
databaseEngineThe name of database engine to generate DDL for.Yes
globalPropertiesName of a custom (global) properties file to be used during DDL generation.No
databaseEnginePropertiesName of a custom database specific properties file to be used during DDL generation.No

- Alternatively to specifying the file property, it is possible to work - with a nested <FileSet> element or with the dir property. -

7.2.2. Example

- Below is an example of how to use this task from within an Ant target - definition named 'castor:ddl:src': -

-<target name="castor:ddl:src" depends="init"
-           description="Generate a DDL script from a JDO mapping file.">
-
-  <taskdef name="castor-ddlgen"
-           classname="org.castor.anttask.CastorDDLGenTask"
-           classpathref="castor.class.path" />
-  <mkdir dir="generated" />
-  <castor-ddlgen file="src/main/resources/mapping.xml"
-                 ddlFileName="target/generated/ddl/mapping.sql"
-                 databaseEngine="mysql"/>
-</target>
-		

7.3. Castor DDL Generator - Type Mapping

- This section describes the mapping between Castor sql type java.sql.Types - constant, java data type, sql type of supported database. -

Table 7.4. 

Castor TypeJDBC TypeJava Object TypeMySQLPostgreSQLOracleDerbyMSSQLSapDBDB2SybaseHSQLPointBase
BITBITjava.lang.BooleanTINYINT(1)BOOLEANBOOLEANCHAR FOR BIT DATABITBOOLEAN BITBITBOOLEAN
TINYINTTINYINTjava.lang.ByteTINYINTSMALLINTSMALLINTSMALLINTTINYINTSMALLINTSMALLINTTINYINTTINYINTSMALLINT
SMALLINTSMALLINTjava.lang.ShortSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINTSMALLINT
INTEGERINTEGERjava.lang.IntegerINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGERINTEGER
BIGINTBIGINTjava.lang.LongBIGINTBIGINTNUMERICBIGINTBIGINTINTEGERBIGINTINTEGERBIGINTNUMERIC
FLOATFLOATjava.lang.DoubleFLOATDOUBLE PRECISIONFLOATFLOATFLOATFLOATFLOATFLOATFLOATFLOAT
DOUBLEDOUBLEjava.lang.DoubleDOUBLEDOUBLE PRECISIONDOUBLE PRECISIONDOUBLEDOUBLE PRECISIONDOUBLE PRECISIONDOUBLEDOUBLE PRECISIONDOUBLE PRECISIONDOUBLE PRECISION
REALREALjava.lang.FloatREALREALREALREALREALDOUBLE PRECISIONREALREALREALREAL
NUMERICNUMERICjava.math.BigDecimalNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERICNUMERIC
DECIMALDECIMALjava.math.BigDecimalDECIMALNUMERICDECIMALDECIMALDECIMALDECIMALDECIMALDECIMALDECIMALDECIMAL
CHARCHARjava.lang.StringCHARCHARCHARCHARCHARCHARCHARCHARCHARCHAR
VARCHARVARCHARjava.lang.StringVARCHARVARCHARVARCHAR2VARCHARVARCHARVARCHARVARCHARVARCHARVARCHARVARCHAR
DATEDATEjava.sql.DateDATEDATEDATEDATEDATETIMEDATEDATEDATETIMEDATEDATE
TIMETIMEjava.sql.TimeTIMETIMEDATETIMEDATETIMETIMETIMEDATETIMETIMETIME
TIMESTAMPTIMESTAMPjava.sql.TimestampTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMPTIMESTAMP
BINARYBINARYbyte[]BINARYBYTEARAWCHAR [n] FOR BIT DATABINARYBLOBCHAR [n] FOR BIT DATABINARYBINARYBLOB
VARBINARYVARBINARYbyte[]VARBINARYBYTEALONG RAWVARCHAR [] FOR BIT DATAVARBINARYBLOBVARCHAR [] FOR BIT DATAVARBINARYVARBINARYBLOB
LONGVARBINARYLONGVARBINARYbyte[]VARBINARYBYTEALONG RAWLONG VARCHAR FOR BIT DATAIMAGEBLOBLONG VARCHAR FOR BIT DATAVARBINARYLONGVARBINARYBLOB
OTHEROTHERjava.lang.ObjectBLOBBYTEABLOBBLOBIMAGEBLOBBLOBIMAGEOTHERBLOB
JAVA_OBJECTJAVA_OBJECTjava.lang.ObjectBLOBBYTEABLOBBLOBIMAGEBLOBBLOBIMAGEOBJECTBLOB
BLOBBLOBjava.io.InputStreamBLOBBYTEABLOBBLOBIMAGEBLOBBLOBIMAGEOBJECTBLOB
CLOBCLOBjava.sql.ClobTEXTTEXTCLOBCLOBTEXTCLOBCLOBTEXTOBJECTCLOB

7.3.1. JDBC Types not supported by Castor

- The following JDBC types are not supported by Castor yet. -

  • ARRAY
  • DISTINCT
  • REF
  • STRUCT

7.4. Castor DDL Generator - Properties

- Describes the properties available on the Castor DDL Generator. -

7.4.1. Overview

- At startup, the DDL Generator first evaluates the command line options. - Next it loads the global properties on the command line if specified, - otherwise the default properties included with the DDL Generator. - There are two important properties loaded at startup: -

org.castor.ddlgen.Generators

tells the DDL Generator about the supported database engines.

org.castor.ddlgen.DefaultEngine

The database engine for which to generate a SQL script. Can be overridden on the command line

- The last step at startup is to read the specific configuration of the - database engine being used. A custom configuration can be provided on - the command line to override the default. -

7.4.2. Global properties

- Please find below a list of global properties to control various advanced - options of the DDL Generator. -

Table 7.5. Command line options

OptionDescriptionValuesDefaultSince
     
org.castor.ddlgen.GeneratorsGenerator classes of supported database engines.  1.1
org.castor.ddlgen.DefaultEngineName of default database engine. Will be overwritten by engine specified on commandline.db2, derby, hsql, mssql, mysql, oracle, pointbase, postgresql, sapdb or sybasemysql1.1
org.castor.ddlgen.SchemaNameName of the database schema. test1.1
org.castor.ddlgen.GroupStatementsHow to group generated DDL statements?TABLE or DDLTYPETABLE1.1
org.castor.ddlgen.CharFormatHow to format characters of generated DDL statements?SENSITIVE, UPPER or LOWERSENSITIVE1.1
org.castor.ddlgen.NewlineCharacter sequence to write for newline. \n1.1
org.castor.ddlgen.IndentionCharacter sequence to write for indented lines. \t1.1
org.castor.ddlgen.GenerateSchemaGenerate SCHEMA statements.true or falsetrue1.1
org.castor.ddlgen.GenerateDropGenerate DROP statements.true or falsetrue1.1
org.castor.ddlgen.GenerateCreateGenerate CREATE statements.true or falsetrue1.1
org.castor.ddlgen.GeneratePrimaryKeyGenerate PRIMARYKEY statement.true or falsetrue1.1
org.castor.ddlgen.GenerateForeignKeyGenerate FOREIGNKEY statement.true or falsetrue1.1
org.castor.ddlgen.GenerateIndexGenerate INDEX statements (Not supported yet).true or falsefalse1.1
org.castor.ddlgen.GenerateKeyGeneratorGenerate KEYGENERATOR statements.true or falsetrue1.1
default_tinyint_precisionDefault precision of tinyint values.  1.1
default_smallint_precisionDefault precision of smallint values.  1.1
default_integer_precisionDefault precision of integer values.  1.1
default_bigint_precisionDefault precision of bigint values. 191.1
default_bigint_decimalsDefault decimals of bigint values. 01.1
default_float_precisionDefault precision of float values. 381.1
 Default precision of tinyint values.  1.1
default_float_decimalsDefault decimals of float values. 71.1
default_double_precisionDefault precision of double values. 531.1
default_double_decimalsDefault decimals of double values. 151.1
default_real_precisionDefault precision of real values. 381.1
default_real_decimalsDefault decimals of real values. 71.1
default_numeric_precisionDefault precision of numeric values. 651.1
default_numeric_decimalsDefault decimals of numeric values. 301.1
default_decimal_precisionDefault precision of decimal values. 651.1
default_decimal_decimalsDefault decimals of decimal values. 301.1
default_char_lengthDefault length of char values. 2561.1
default_varchar_lengthDefault length of varchar values. 2561.1
default_longvarchar_lengthDefault length of longvarchar values. 10241.1
default_date_precisionDefault precision of date values.  1.1
default_time_precisionDefault precision of time values.  1.1
default_timestamp_precisionDefault precision of timestamp values. 191.1
default_binary_lengthDefault length of binary values. 2561.1
default_varbinary_lengthDefault length of varbinary values. 2561.1
default_longvarbinary_lengthDefault length of longvarbinary values. 10241.1
default_other_lengthDefault length of other values. 10241.1
default_javaobject_lengthDefault length of javaobject values. 10241.1
default_blob_lengthDefault length of blob values. 10241.1
default_clob_lengthDefault length of clob values. 10241.1

7.4.2.1. Supported database engines

- The supported database engines are defined as follows: -

-#
-# generator classes of supported database engines
-#
-org.castor.ddlgen.Generators=\
-  org.castor.ddlgen.engine.db2.Db2Generator,\
-  org.castor.ddlgen.engine.derby.DerbyGenerator,\
-  org.castor.ddlgen.engine.hsql.HsqlGenerator,\
-  org.castor.ddlgen.engine.mssql.MssqlGenerator,\
-  org.castor.ddlgen.engine.mysql.MysqlGenerator,\
-  org.castor.ddlgen.engine.oracle.OracleGenerator,\
-  org.castor.ddlgen.engine.pointbase.PointBaseGenerator,\
-  org.castor.ddlgen.engine.postgresql.PostgresqlGenerator,\
-  org.castor.ddlgen.engine.sapdb.SapdbGenerator,\
-  org.castor.ddlgen.engine.sybase.SybaseGenerator
-			

7.4.2.2. Grouping of DDL statements

- There are 2 supported modes to group DDL statements. For a simple example, the - output of both modes is: -

-drop A if exist
-create A(IDA int);
-alter table A add primary key (IDA)
-
-drop B if exist
-create B(IDB int);
-alter table B add primary key (IDB)
-			

Figure 7.1. org.castor.ddlgen.GroupStatements=TABLE


-drop A if exist
-drop B if exist
-
-create A(IDA int);
-create B(IDB int);
-
-alter table A add primary key (IDA)
-alter table B add primary key (IDB)
-			

Figure 7.2. org.castor.ddlgen.GroupStatements=DDLTYPE


7.4.3. Specific properties

- Below you can find a list of specific properties to control various advanced - options of the DDL Generator. -

7.4.3.1. Properties common for all database engines

Table 7.6. Common properties for all databases

OptionDescriptionValuesDefaultSince
org.castor.ddlgen.KeyGeneratorFactoriesKey generator factory classes supported by DB/2.  1.1
org.castor.ddlgen.HeaderCommentComment to add to head of generated script.  1.1

7.4.3.1.1. Key generators

- The key generators supported by a database engine are defined as follows - (example taken from Oracle): -

-#
-# key generator factory classes of supported database engines
-#
-org.castor.ddlgen.KeyGeneratorFactories=\
-  org.castor.ddlgen.keygenerator.HighLowKeyGeneratorFactory,\
-  org.castor.ddlgen.keygenerator.MaxKeyGeneratorFactory,\
-  org.castor.ddlgen.keygenerator.UUIDKeyGeneratorFactory,\
-  org.castor.ddlgen.engine.oracle.OracleSequenceKeyGeneratorFactory
-				

7.4.3.2. Properties for db2, hsql, Oracle, Postgresql and sapdb

Table 7.7. Common properties for all databases

OptionDescriptionValuesDefaultSince
org.castor.ddlgen.TriggerTemplateTemplate to create TRIGGER statements.  1.1

7.4.3.2.1. Trigger template

- Below you can take a look at the default trigger template defined for Oracle. - The DDL Generator will replace the parameters in brackets with appropriate - values (e.g. <table_name>). -

-#
-# trigger template
-#
-org.castor.ddlgen.TriggerTemplate=\
-CREATE TRIGGER <trigger_name>
-  BEFORE INSERT OR UPDATE ON <table_name>
-  FOR EACH ROW
-  DECLARE
-    iCounter <table_name>.<pk_name>%TYPE;
-    cannot_change_counter EXCEPTION;
-  BEGIN
-    IF INSERTING THEN
-      Select <sequence_name>.NEXTVAL INTO iCounter FROM Dual;
-      :new.<pk_name> := iCounter;
-    END IF;
-
-    IF UPDATING THEN
-      IF NOT (:new.<pk_name> = :old.<pk_name>) THEN
-        RAISE cannot_change_counter;
-      END IF;
-    END IF;
-
-EXCEPTION
-  WHEN cannot_change_counter THEN
-    raise_application_error(-20000, 'Cannot Change Counter Value');
-END;
-					

Figure 7.3. Default trigegr template for Oracle


7.4.3.3. Properties for MySQL only

Table 7.8. Common properties for all databases

OptionDescriptionValuesDefaultSince
org.castor.ddlgen.engine.mysql.StorageEngineStorage engine to be used. If left empty the default configured at the database server will be used.MYISAM, InnoDB, MERGE, MEMORY, BDB or ISAM 1.1
org.castor.ddlgen.engine.mysql.ForeignKeyOnDeleteStrategyDelete strategy for foreign keys. If not specified NO ACTION will be used by default.CASCADE, RESTRICT, SET NULL, NO ACTION 1.1
org.castor.ddlgen.engine.mysql.ForeignKeyOnUpdateStrategyUpdate strategy for foreign keys. If not specified NO ACTION will be used by default.CASCADE, RESTRICT, SET NULL, NO ACTION 1.1

- - - -

Chapter 8. XML code generation - Extensions

8.1. XML code generation extensions - Motivation

- With Castor 1.2 and earlier releases it has already been possible to - generate Java classes from an XML schema and use these classes - for XML data binding without having - to write a mapping file. -

- This is possible because the Castor XML code generator generated - in - addition to the domain classes - a set of XML descriptor classes as well, - with one descriptor class generated per generated domain class. It's this - XML descriptor class that holds all the information required to map Java - classes and/or field members to XML artifacts, as set out in the original - XML schema definitions. This includes .... -

  • artefact names

  • XML namespace URIs

  • XML namespace prefix

  • validation code

- Starting with Castor 1.3, a mechanism has been added to the XML code generator that allows - extension of these core offerings so that either additional content is added to the generated - domain classes additonal descriptor classes are gernated. -

8.1.1. JDO extensions for the Castor XML code generator

8.1.1.1. JDO extensions - Motivation

- With Castor 1.2 and previous releases it was already possible to - generate Java classes from an XML schema and use these classes - for XML data binding without having - to write a mapping file. -

- This is possible because the Castor XML code generator generated - in - addition to the domain classes - a set of XML descriptor classes as well, - with one descriptor class generated per generated domain class. It's this - XML descriptor class that holds all the information required to map Java - classes and/or field members to XML artifacts, as set out in the original - XML schema definitions. This includes .... -

  • artefact names

  • XML namespace URIs

  • XML namespace prefix

  • validation code

- In addition, it was already possible to use the generated set of domain classes - in Castor JDO for object-/relational mapping purpose by supplying a - (manually written) JDO-specific mapping file. Whilst technically not very difficult, - this was still an error-prone task, especially in a context where tens or - hundreds of classes were generated from a set of XML schemas. -

- The JDO extensions for the Castor XML code generator - extend the code generator in such a way that a second set of descriptor classes is - generated: the JDO descriptor classes. These new descriptor classes define - the mapping between Java (domain) objects and database tables/columns, and as - such remove the requirement of having to write a JDO-specific mapping file. -

[Note]Note

- Please note that Castor JDO - upon startup - internally converts the information - provided in the JDO mapping file to (JDO) descriptor classes. As such, the - approach outlined above simply re-uses an existing code base and just automates the - production of those descriptor classes. -

- The following sections introduce the general principles, define the XML schema - artifacts available to annotate an existing XML schema and highlight the - usage of these artifacts by providing examples. At the same time, - a limited set of current product limitations are spelled out. -

8.1.1.2. Limitations

- With release 1.3 of Castor, the following limitations exist for the JDO - extensions of the XML code generator: -

  1. - The extensions currently can only be used in type - mode of the XML code generator. -

  2. - There's currently no support for key generators. - There's work in progress to add this functionality, though. -

  3. - There's currently no support for bidirectional relations, modelled through - the use of <xs:id> and <xs:idref> constructs. -

8.1.1.3. Prerequisites

- To facilitate the detailed explanations in the following - sections, we now define a few <complexType> definitions - that we want to map against an existing database schema, and the - corresponding SQL statements to create the required tables. -

8.1.1.3.1. Sample XML schemas
-               
-<complexType name="bookType">
-   <sequence>
-      <element name="isbn" type="xs:string" />
-      <element name="pages" type="xs:integer" />
-      <element name="lector" type="lectorType" />
-      <element name="authors" type="authorType" maxOccurs="unbounded" />
-   </sequence>
-</complexType>
-
-<complexType name="lectorType">
-   <sequence>
-      <element name="siNumber" type="xs:integer" />
-      <element name="name" type="xs:string" />
-   </sequence>
-</complexType>
-
-<complexType name="authorType">
-   <sequence>
-      <element name="siNumber" type="xs:integer" />
-      <element name="name" type="xs:string" />
-   </sequence>
-</complexType>
-            
8.1.1.3.2. Sample DDL statements
-CREATE TABLE author_table (
-   sin INTEGER NOT NULL,
-   name VARCHAR(20) NOT NULL
-);
-
-CREATE TABLE lector_table (
-   sin INTEGER NOT NULL,
-   name VARCHAR(20) NOT NULL
-);
-
-CREATE TABLE book_table (
-   isbn VARCHAR(13) NOT NULL,
-   pages INTEGER,
-   lector_id INTEGER NOT NULL,
-   author_id INTEGER NOT NULL
-);

8.1.1.4. Configuring the XML code generator

- To have the Castor XML code generator generate JDO class descriptors - when processing a set of XML schemas, please use one of the following - methods: -

Table 8.1. Accessing options

UsageMethodDescription
SourceGeneratorsetJdoDescriptorCreation(boolean)Supply a value of true to enable this feature.
SourceGeneratorMainFlag -gen-jdo-descSet this optional flag to enable this feature.
Ant task for XML code generatorgenerateJdoDescriptors optionSet this to a value of true.

8.1.1.5. The JDO annotations for XML schemas

- This section enlists the XML artifacts available to annotate an existing XML schema - with JDO extension-specific information. These constructs are defined themselves - in an XML schema jdo-extensions.xsd that has a target - namespace of http://www.castor.org/binding/persistence. -

- To enable proper validation of your XML schemas when editing JDO - annotations, and to enable XML completion in your preferred XML - editor, please add schemaLocation information to - your XML schema definition as follows: -

-<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema"
-    targetNamespace="http://your/target/namespace"
-    xmlns:jdo="http://www.castor.org/binding/persistence"
-    xmlns="http://your/target/namespace"                                       (1)
-    xsi:schemaLocation="http://www.castor.org/binding/persistence http://www.castor.org/jdo-extensions.xsd">
-    
-...
+...
 
 </xs:schema>        
             

@@ -15490,7 +5807,7 @@ The values supplied in the schemaLocation attribute define the location of the XML schema for any XML artefacts bound to the http://www.castor.org/binding/persistence namespace. -

8.1.1.5.1. <table> element

+

3.1.1.5.1. <table> element

The <table> element allows you to map an <complexType> definition to a database table within a database, and to specify the identity (frequently referred to as primary key), @@ -15555,7 +5872,7 @@ <xs:element name="key" type="xs:string" maxOccurs="unbounded" /> </xs:sequence> </xs:complexType> -

8.1.1.5.2. <column> element

+

3.1.1.5.2. <column> element

The <column> element allows you to map a member of content model of a <complexType> definition to a column within a database table. @@ -15610,7 +5927,7 @@ </xs:element>

where the content is described as follows: -

Table 8.2. <column> - Definitions

NameDescription
nameName of the column
typeJDO-type of the column
acceptNullWhether this field accepts NULL values or not

8.1.1.5.3. <one-to-one> element

+

Table 3.2. <column> - Definitions

NameDescription
nameName of the column
typeJDO-type of the column
acceptNullWhether this field accepts NULL values or not

3.1.1.5.3. <one-to-one> element

The <one-to-one> element allows you to map a member of content model of a <complexType> definition to a 1:1 relation to another <complexType>. @@ -15678,7 +5995,7 @@ </xs:element>

where the content is described as follows: -

Table 8.3. <one-to-one> - Definitions

NameDescription
nameName of the column that represents the foreign key of this relation

8.1.1.5.4. <one-to-many> element

+

Table 3.3. <one-to-one> - Definitions

NameDescription
nameName of the column that represents the foreign key of this relation

3.1.1.5.4. <one-to-many> element

The <one-to-many> element allows you to map a member of the content model of a <complexType> definition as part of a 1:M relation to another <complexType>. @@ -15750,14 +6067,14 @@ </xs:element>

with the following details applying: -

Table 8.4. <one-to-many> - Definitions

NameDescription
nameName of the column that represents the (many) foreign key of this relation

8.1.1.6. Using the generated (domain) classes with Castor JDO

+

Table 3.4. <one-to-many> - Definitions

NameDescription
nameName of the column that represents the (many) foreign key of this relation

3.1.1.6. Using the generated (domain) classes with Castor JDO

Once you have generated domain classes and descriptor classes (both XML and JDO) from your set of XML schemas, you'll be able to use them as are. There's a few minor changes, which we are going to highlight below, but the main benefit is that you not have to write a JDO mapping file. -

8.1.1.6.1. Empty mapping file

+

3.1.1.6.1. Empty mapping file

As you have already generated JDO descriptor classes for each of your domain objects, you won't have to supply mappings for those classes anymore. As such, your mapping file will stay @@ -15776,7 +6093,7 @@ process from your XML schemas. It is possible, too, to match both modes. In other words, a domain class mapped manually will be able to refer to a domain class as generated. -

8.1.1.6.2. Use of a JDOClassDescriptorResolver

+

3.1.1.6.2. Use of a JDOClassDescriptorResolver

In order for Castor to be able to access the generated (JDO) class descriptors and to load those classes from the file system, you will have to configure an instance of @@ -15814,7 +6131,7 @@ application deployment units. If not, Castor JDO will not be able to load the descriptor classes from the file system, and throw an exception. -

8.1.2. SOLRJ extensions for the Castor XML code generator

8.1.2.1. SOLRJ extensions - Motivation

+

3.1.2. SOLRJ extensions for the Castor XML code generator

3.1.2.1. SOLRJ extensions - Motivation

With Castor 1.2 and previous releases it was already possible to generate Java classes from an XML schema and use these classes for XML data binding without having @@ -15834,12 +6151,12 @@ The following sections introduce the general principles, define the XML schema artifacts available to annotate an existing XML schema and highlight the usage of these artifacts by providing examples. -

8.1.2.2. Prerequisites

+

3.1.2.2. Prerequisites

To facilitate the detailed explanations in the following sections, we now define a few <complexType> definitions that we want to be able to store in a SOLR index in addition to vanilla XML data binding funtionality. -

8.1.2.2.1. Sample XML schemas
+    

3.1.2.2.1. Sample XML schemas
        
 <complexType name="bookType">
    <sequence>
@@ -15847,7 +6164,7 @@
       <element name="pages" type="xs:integer" />
    </sequence>
 </complexType>
-        

8.1.2.3. The SOLRJ annotations for XML schemas

+

3.1.2.3. The SOLRJ annotations for XML schemas

This section enlists the XML artifacts available to annotate an existing XML schema with SOLRJ extension-specific information. These constructs are defined themselves in an XML schema solrj-extensions.xsd that has a target @@ -15873,7 +6190,7 @@ The values supplied in the schemaLocation attribute define the location of the XML schema for any XML artefacts bound to the http://www.castor.org/binding/solrj namespace. -

8.1.2.3.1. <field> element

+

3.1.2.3.1. <field> element

The <field> element allows you to map a member of the content model of a <complexType> definition to SOLRJ field.

@@ -15949,12 +6266,14 @@
 </xs:element>
             

where the content is described as follows: -

Table 8.5. <field> - Definitions

NameDescriptionOptional?
nameName of the SOLR index field.Yes

8.1.2.4. Using the generated domain classes with SOLR

+

Table 3.5. <field> - Definitions

NameDescriptionOptional?
nameName of the SOLR index field.Yes

3.1.2.4. Using the generated domain classes with SOLR

Once you have generated domain classes (and descriptor classes for the XML binding) from your set of XML schemas, you'll be able to use them as are.

- - + + + +
\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/jdo.html b/src/site/resources/reference-guides/1.4.0/html-single/jdo.html deleted file mode 100755 index 4571fa346..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/jdo.html +++ /dev/null @@ -1,5076 +0,0 @@ - - - Chapter 3. Castor JDO

Chapter 3. Castor JDO

- - - - -

3.1. Castor JDO - An introduction

Authors

Werner Guttmann - () -

3.1.1. What is Castor JDO

- Castor JDO is an Object-Relational Mapping and Data-Binding Framework, which is - written in 100% pure Java[tm]. Castor can map relational database data into - Java Data Object based on user-defined mapping schema. In the other point-of-view, - it provides java data objects a persistence layer. -

- It frees programmer from dealing with database directly and replacing the entire - burden of composing updating the database. Proper SQL statements are automatically - generated for loading, updating, creating and deleting. Changes to objects in transaction - are automatically done to data source at commit time. Thus programmer can stay in pure-Java - without remember all the details in the backing database, after the creation of - database tables and the mapping schema. The separation of persistence and programming - logic also enable much clearer object-oriented design, which is important in larger - projects. -

3.1.2. Features

- JDO is transactional. Data objects loaded in Castor - are properly locked and isolated from other transactions. Castor supports full - 2-phase commit via xa.Synchronzation. Castor supports several locking modes, - including "shared", "exclusive", "database locked", and "read-only". -

-

  • - Shared access, the default, is useful for - situations in which it is common for two or more transactions to read the - same objects, and/or update different objects. -

  • - Exclusive access uses in-memory locks - implemented by Castor to force competing transactions to serialize access - to an object. This is useful for applications in which it is common for more - than one transaction to attempt to update the same object, and for which most, - if not all access to the database is performed through Castor. -

  • - Database-Locked access is often used for - applications in which exclusive locking is required, but in which the database - is frequently accessed from applications outside of Castor, bypassing Castor's - memory-based locking mechanism used by "exclusive access" locking. -

  • - Read-Only access performs no locking at all. - Objects read using this access mode are not locked, and those objects do not - participate in transaction commit/rollback. -

-

- In addition, Castor supports "long transactions", - whichs allow objects to be read in one transaction, modified, and then committed - in a second transaction, with built-in dirty-checking to prevent data that has been - changed since the initial transaction from being overwritten. -

- Through automatic dirty-checking - and deadlock detection, Castor can be - used to ensure data integrity and reduce unnecessary database updates. -

- A subset of OQL, defined in the Object Management Group (OMG) 3.0 - Object Query Language Specification, - is supported for interacting with the database. OQL is - similar to SQL, though operations are performed directly on Java objects instead - of database tables, making the language more appropriate for use within a - Java-based application. -

- Castor implements a data cache to reduce database - accesses, providing several alternative LRU-based caching strategies. -

- Castor supports different cardinalities of relationship, - including one-to-one, - one-to-many - and many-to-many. It also supports both object - and database record inheritance. It distinguishes - between related (i.e. association) - and dependent - (i.e. aggregation) relationships during an object's life cycle, automatically creating - and deleting dependent objects at appropriate times in the independent object's - life cycle. -

- Multiple-column primary keys, and a variety of key generators are supported. -

- Castor automatically manages persistence for objects that contain Java collection - types, including Vector, Hashtable, Collection, Set, and Map. - Lazy loading - (of collections as well as simple 1:1 relations) is implemented to reduce unnecessary - database loading. Lazy loading can be turned on or off for each individual field (of - any supported collection type for 1-to-many and many-to-many relations). -

- Other features include a type converter for all Java primitive types (see the - info on supported types). -

- No pre-processor (aka pre-compiler), class enhancer (bytecodes modification) is needed - or used for data-binding and object persistence. -

- Castor JDO works in an application that uses multiple ClassLoaders, making it possible to - use in an EJB container or servlet, for example. A Castor-defined callback interface, - "Persistent", can be implemented if the objects wants to be notified on Castor - events: jdoLoad(), jdoCreate(), jdoRemove() and jdoTransient(). This makes it possible - to create user-defined actions to take at various times in an object's life cycle. -

- The Java-XML Data-Binding Framework (Castor XML) has been merged with Castor JDO for - users who need both O/R Mapping and Java-XML Data-Binding together. -

- The following relational databases are supported: - -

  • DB2

  • Derby

  • Generic DBMS

  • Hypersonic SQL

  • Informix

  • InstantDB

  • Interbase

  • MySQL

  • Oracle

  • PostgreSQL

  • Progress

  • SAP DB / MaxDB

  • SQLServer

  • Sybase

-

- Database support includes Oracle 8.1.x and different versions of Sybase Enterprise and - Anywhere. Users can implement the Driver interface to adapt Castor to the differences in - SQL syntax supported by different relational DBMS's, as long as the DBMS supports JDBC - 2.0, multiple ResultSet, and transactions. Thanks to many individual open source - contributors, drivers for different database are available. -

-

3.2. Castor JDO - First steps

3.2.1. Introduction

- This guide assumes that you do not have any experience with CASTOR JDO, but would - like to make your first steps into the world of persistence and object/relation - mapping tools. The following sections show how to setup and configure Castor JDO so that - it is possible to perform persistence operations on the domain objects presented. -

3.2.2. Sample domain objects

- The sample domain objects used in here basically define a - Catalogue, - which is a collection of Products. -

-public class Catalogue {
-
-   private long id;
-   private List products = new ArrayList();
-   
-   public long getId() { ... }
-   public void setId(long id) { ... }
-
-   public String getProducts() { ... }
-   public void setProducts(List products) { ... }
-   
-}
-
-public class Product {
-
-   private long id;
-   
-   private String description;
-
-   public long getId() { ... }
-   public void setId(long id) { ... }
-   
-   public String getDescription() { ... }
-   public void setDescription(String description) { ... }
-   
-}

- In order to be able to perform any persistence operation (such as loading products, deleting - products from a catalogue, ...) on these domain objects through Castor JDO, a Castor - JDO mapping has to be provided, defining class and field level mappings for the Java classes given - and their members: -

-<class name="org.castor.sample.Catalogue">
-   <map-to table="catalogue"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="products" type="org.castor.sample.Product" collection="arraylist">
-      <sql many-key="c_id" />
-   </field>
-</class>
-
-<class name="org.castor.sample.Product">
-   <map-to table="product"/>
-   <field name="id" type="long">
-      <sql name="id" type="integer" />
-   </field>
-   <field name="description" type="string">
-      <sql name="desc" type="varchar" />
-   </field>
-</class>

3.2.3. Using Castor JDO for the first time

- To e.g. load a given Catalogue instance as defined - by its identity, and all its associated Product instances, - the following code could be used, based upon the Castor-specific interfaces - JDOManager and Database. -

-JDOManager.loadConfiguration("jdo-conf.xml");
-JDOManager jdoManager = JDOmanager.createInstance("sample");
-
-Database database = jdoManager.getDatabase();       
-database.begin();
-Catalogue catalogue = database.load(catalogue.class, new Long(1));
-database.commit();
-database.close();

- For brevity, exception handling has been ommitted completely. But is is quite obvious - that - when using such code fragments again and again, to e.g. implement various - methods of a DAO - there's a lot of redundant code that needed to be written again - and again - and exception handling is adding some additional complexity here as well. -

3.2.4. JDO configuration

- As shown in above code example, before you can perform any persistence operations on - your domain objects, Castor JDO has to be configured by the means of a JDO - configuration file. as part of this JDO configuration, the user defines one or more - databases and everything required to connect to this database (user credentials, JDBC - connection string, ....). -

- A valid JDO configuration file for HSQL looks as follows: -

-<?xml version="1.0" ?>
-<!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration DTD Version 1.0//EN" "http://castor.org/jdo-conf.dtd">
-<jdo-conf>
-  <database name="hsqldb" engine="hsql">
-    <driver class-name="org.hsqldb.jdbcDriver" url="jdbc:hsqldb:hsql://localhost:9002/dbname">
-      <param name="user" value="sa"/>
-      <param name="password" value=""/>
-    </driver>
-    <mapping href="mapping.xml"/>
-  </database>
-  <transaction-demarcation mode="local"/>
-</jdo-conf>
-        
-

3.3. Using Castor JDO

3.3.1. Opening A JDO Database

- Castor JDO supports two type of environments, client applications and J2EE servers. - Client applications - are responsible for configuring the database connection and managing transactions - explicitly. - J2EE applications - use JNDI to obtain a pre-configured database connection, and use - UserTransaction or container managed transactions (CMT) to - manage transactions. If you have been using JDBC in these two environments, - you will be readily familiar with the two models and the differences between - them. -

3.3.1.1. Stand-alone application

- Client applications are responsible for defining the JDO configuration, and managing - the transaction explicitly. The database is by default configured through a separate - XML file which links to the mapping file. Alternatively, it can be configured using the - utility class org.exolab.castor.jdo.util.JDOConfFactory. -

- In the example code I refer to the JDO configuration file as - jdo-conf.xml, but any name can be used. See - Castor JDO Configuration - for more information. -

- As of release 0.9.6, a new JDOManager class is provided, that replaces the former JDO - class. Any new features will be implemented against the new JDOManager class only. -

As with its predecessor, org.exolab.castor.jdo.JDOManager defines the database - name and properties and is used to open a database connection. An instance of this class - is constructed with a two-step approach: -

  1. - Statically load the JDO configuration file through one of the - loadConfiguration() methods, e.g. - org.exolab.castor.jdo.JDOManager.loadConfiguration(java.lang.String). -

  2. - Create an instance of the JDO engine using the factory method - org.exolab.castor.jdo.JDOManager.createInstance(java.lang.String) - where you supply one of the database names defined in the configuration - file loaded in step 1). -

- The org.exolab.castor.jdo.Database object represents - an open connection to the database. By definition the database object is not - thread safe and should not be used from concurrent threads. There is little - overhead involved in opening multiple Database - objects, and a JDBC connection is acquired only per open transaction. -

- The following code fragment creates an instance of JDOManager for a database 'mybd', - opens a database, performs a transaction, and closes the database - as it will typically - appear in client applications (for brevity, we have ommitted any required exception - handling): -

 
-JDOManager jdoManager;
-Database db;
- 
-// load the JDO configuration file and construct a new JDOManager for the database 'mydb'
-JDOManager.loadConfiguration("jdo-conf.xml");
-jdoManager = JDOManager.createInstance("mydb");
-
-// Obtain a new database
-Database db = jdoManager.getDatabase();
-    
-// Begin a transaction
-db.begin();
-
-// Do something
-. . .
-
-// Commit the transaction and close the database
-db.commit();
-db.close();
-        

- For an example showing how to set up a database configuration on the fly without - the need of a preconfigured XML configuration file) see - JdoConfFactory. -

3.3.1.2. J2EE Application

- J2EE applications depend on the J2EE container (Servlet, EJB, etc) to configure - the database connection and use JNDI to look it up. This model allows the application - deployer to configure the database properties from a central place, and gives the J2EE - container the ability to manage distributed transactions across multiple data sources. -

- Instead of constructing a - org.exolab.castor.jdo.JDOManager - the application uses the JNDI namespace to look it up. - We recommend enlisting the JDOManager - object under the java:comp/env/jdo namespace, - compatible with the convention for listing JDBC resources. -

- The following code fragment uses JNDI to lookup a database, and uses the JTA - UserTransaction interface to manage the transaction: -

-InitialContext  ctx;
-UserTransaction ut;
-Database        db;
-
-// Lookup databse in JNDI
-ctx = new InitialContext();
-db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Begin a transaction
-ut = (UserTransaction) ctx.lookup( "java:comp/UserTransaction" );
-ut.begin();
-// Do something
-. . .
-// Commit the transaction, close database
-ut.commit();
-db.close();
-        

- If the transaction is managed by the container, a common case with EJB beans and - in particular entity beans, there is no need to begin/commit the transaction explicitly. - Instead the application server takes care of enlisting the database in the ongoing - transaction and executes commit/rollback at the proper time. -

- The following code snippet relies on the container to manage the transaction -

-InitialContext  ctx;
-UserTransaction ut;
-Database        db;
-
-// Lookup database in JNDI
-ctx = new InitialContext();
-db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Do something
-. . .
-// Close the database
-db.close();
-        

3.3.2. Using A JDO Database to perform persistence operations

3.3.2.1. Transient And Persistent Objects

- All JDO operations occur within the context of a transaction. JDO works by loading - data from the database into an object in memory, allowing the application to modify - the object, and then storing the object's new state when the transaction commits. - All objects can be in one of two states: transient or persistent. -

- Transient: Any object whose state will not be saved - to the database when the transaction commits. Changes to transient objects will not - be reflected in the database. -

- Persistent: Any object whose state will be saved - to the database when the transaction commits. Changes to persistent objects will - be reflected in the database. -

- An object becomes persistent in one of two ways: it is the result of a query, - (and the query is not performed in read-only mode) or it is added to the database - using - org.exolab.castor.jdo.Database.create(java.lang.Object) - or - org.exolab.castor.jdo.Database.update(java.lang.Object). - All objects that are not persistent are transient. When the transaction commits - or rolls back, all persistent objects become transient. -

- In a client application, use - org.exolab.castor.jdo.Database.begin(), - org.exolab.castor.jdo.Database.commit() and - org.exolab.castor.jdo.Database.rollback() - to manage transactions. In a J2EE application, JDO relies on the container - to manage transactions either implicitly (based on the transaction attribute - of a bean) or explicitly using the - javax.transaction.UserTransaction interface. -

- If a persistent object was modified during the transaction, at commit time the - modifications are stored back to the database. If the transaction rolls back, - no modifications will be made to the database. Once the transaction completes, - the object is once again transient. To use the same object in two different - transactions, you must query it again. -

- An object is transient or persistent from the view point of the database to which - the transaction belongs. An object is generally persistent in a single database, - and calling - org.exolab.castor.jdo.Database">isPersistent(java.lang.Object) - from another database will return false. It is possible to make an object persistent - in two database, e.g. by querying it in one, and creating it in the other. -

3.3.2.2. Running an OQL Query

- OQL queries are used to lookup and query objects from the database. OQL queries are - similar to SQL queries, but use object names instead of SQL names and do not require - join clauses. For example, if the object being loaded is of type TestObject, - the OQL query will load FROM TestObject, whether the actual table name in - the database is test, test_object, or any other name. - If a join is required to load related objects, Castor will automatically perform the join. -

- The following code snippet uses an OQL query to load all the objects in a given group. - Note that product and group are related objects, the JDBC query involves a join: -

-OQLQuery     oql;
-QueryResults results;
-
-// Explicitly begin transaction
-db.begin();
-
-// Construct a new query and bind its parameters
-oql = db.getOQLQuery("SELECT p FROM Product p WHERE Group=$1");
-oql.bind(groupId);
-
-// Retrieve results and print each one
-results = oql.execute();
-while (results.hasMore()) {
-  System.out.println(results.next());
-}
-
-// Explicitly close the QueryResults
-results.close();
-
-// Explicitly close the OQLQuery
-oql.close();
-
-// Explicitly commit transaction
-db.commit();
-db.close();
-        

- The following code snippet uses the previous query to obtain products, mark down - their price by 25%, and store them back to the database (in this case using - a client application transaction): -

-OQLQuery     oql;
-QueryResults results;
-
-// Explicitly begin transaction
-db.begin();
-
-// Construct a new query and bind its parameters
-oql = db.getOQLQuery("SELECT p FROM Product p WHERE Group=$1");
-oql.bind(groupId);
-
-// Retrieve results and mark up each one by 25%
-Product prod;
-while (results.hasMore()) {
-  prod = (Product) results.next();
-  prod.markDown(0.25);
-  prod.setOnSale(true);
-}
-
-// Explicitly close the QueryResults
-results.close();
-
-// Explicitly close the OQLQuery
-oql.close();
-
-// Explicitly commit transaction
-db.commit();
-db.close();
-        

- As illustrated above, a query is executed in three steps. First a query object is - created from the database using an OQL statement. If there are any parameters, the - second step involves binding these parameters. Numbered parameters are bound using - the order specified in their names. (e.g. first $1, after that $2, and so on...) - The third step involves executing the query and obtaining a result set of type - org.exolab.castor.jdo.QueryResults. -

- A query can be created once and executed multiple times. Each time it is executed - the bound parameters are lost, and must be supplied a second time. The result of - a query can be used while the query is being executed a second time. -

- There is also a special form of query that gives a possibility to call stored - procedures: -

- -oql = db.getOQLQuery("CALL sp_something($) AS myapp.Product"); - -

- Here sp_something is a stored procedure returning one or more - ResultSets with the same sequence of fields as Castor-generated - SELECT for the OQL query "SELECT p FROM myapp.Product p" - (for objects without relations the sequence is: identity, then all - other fields in the same order as in mapping.xml). -

3.3.2.3. Creating a persistent object

- The method - org.exolab.castor.jdo.Database.create(java.lang.Object) - creates a new object in the database, or in JDO terminology makes a transient - object persistent. An object created with the create method - will remain in the database if the transaction commits; - if the transaction rolls back the object will be removed from the database. - An exception is thrown if an object with the same identity already exists in - the database. -

- The following code snippet creates a new product with a group that was previously - queried: -

-Database db = ...;
-db.begin();        
-
-//load product group
-ProductGroup furnitures = db.load(...);
-
-// Create the Product object
-Product prod;
-prod = new Product();
-prod.setSku(5678);
-prod.setName("Plastic Chair");
-prod.setPrice(55.0 );
-prod.setGroup(furnitures);
-
-// Make it persistent
-db.create(prod);
-
-db.commit();
-        

3.3.2.4. Removing a persistent object

- The method - org.exolab.castor.jdo.Database.remove(java.lang.Object) - has the reverse effect, deleting a persistent object. Once removed the object is no - longer visible to any transaction. If the transaction commits, the object will be removed - from the database, however, if the transaction rolls back the object will remain in - the database. An exception is thrown when attempting to remove an object that is not - persistent. -

- The following code snippet deletes the previously created Product instance: -

-Database db = ...;
-db.begin();        
-
-// load the Product instance with sku = 5678
-Product prod = db.load (Product.class, new Integer(5678);
-
-// delete the Product instance
-db.remove(prod);
-
-db.commit();
-        

3.3.2.5. Updating a persistent object

- There's no special method offering on the - org.exolab.castor.jdo.Database - to update an existing persistent object. Simply load the object to be updated, change - one or more of its properties, and commit the transaction. Castor JDO will automatically - figure that that the object in question has changed and will persist these changes - to the underlying database. -

- The following code snippet loads a previously created Product instance, changes its - description property and commits the transaction. -

-Database db = ...;
-db.begin();        
-
-// load the Product instance with sku = 5678
-Product prod = db.load (Product.class, new Integer(5678);
-
-// change the object properties
-prod.setDescription("New plastic chair");
-
-//commit the transaction
-db.commit();
-        

3.3.3. Using JDO And XML

- Castor JDO and Castor XML can be combined to perform transactional database operations - that use XML as the form of input and output. The following code snippet uses a combination - of persistent and transient objects to describe a financial operation. -

- This example retrieves two account objects and moves an amount from one account to the - other. The transfer is described using a transient object (i.e. no record in the database), - which is then used to generate an XML document describing the transfer. An extra step - (not shown here), uses XSLT to transform the XML document into an HTML page. -

-Transfer tran;
-Account  from;
-Account  to;
-OQLQuery oql;
-
-tran = new Transfer();
-
-// Construct a query and load the two accounts
-oql = db.getOQLQuery("SELECT a FROM Account a WHERE Id=$");
-oql.bind(fromId);
-from = oql.execute().nextElement();
-oql.bind(toId);
-to = oql.execute().nextElement();
-
-// Move money from one account to the other
-if (from.getBalance() >= amount) {
-  from.decBalance(amount);
-  to.incBalance(amount);
-  trans.setStatus(Transfer.COMPLETE);
-  trans.setAccount(from);
-  trans.setAmount(amount);
-} else {
-  // Report an overdraft
-  trans.setStatus( Transfer.OVERDRAFT );
-}
-
-// Produce an XML describing the transfer
-Marshaller.marshal(trans, outputStream);
-      

The XML produced by the above code might look like:

-<?xml version="1.0"?>
-<report>
-  <status>Completed</status>
-  <account id="1234-5678-90" balance="50"/>
-  <transfer amount="49.99"/>
-</report>
-
-

3.4. Castor JDO - Configuration

- Castor JDO allows for two simple ways of specifying its required configuration, e.g. - by the means of supplying Castor JDO with an XML-based configuration file, and by - specifying its configuration programmatically via the - org.exoalb.castor.util.jdo.JDOConfFactory class. -

3.4.1. The Castor configuration file

- The default way to configure how Castor interacts with a specific database system - is by using a configuration file. It specifies the means to obtain a connection - to the database server, the mapping between Java classes and tables in that - database server, and the service provider to use for talking to that server - (For a more flexible, programmatic way without configuration files see section - JDOConfFactory). -

- The application will access the database(s) by its given name - (database/name) and will be able to persist all objects - specified in the included mapping file(s). -

- The engine attribute specifies the persistence engine for this - database server. Different database servers vary in the SQL syntax and - capabilites they support, and this attribute names the service provider to use. -

The following names are supported in Castor:

Table 3.1. Supported engine names

engine nameRDBMS
db2DB/2
derbyDerby
genericGeneric JDBC support
hsqlHypersonic SQL
informixInformix
instantdbInstantDB
interbaseInterbase
mysqlMySQL
oracleOracle 7 - Oracle 9i
postgresqlPostgreSQL 7.1
sapdbSAP DB / MaxDB
sql-serverMicrosoft SQL Server
sybaseSybase 11
pointbaseBorland Pointbase
progressProgress RDBMS

[Note]Note

- Castor doesn't work with JDBC-ODBC bridge from Sun. - In particular, MS Access is not supported. -

- The means to acquire a database connection is specified in one of three - ways: as a JDBC driver URL, as a JDBC DataSource, or as a DataSource - to lookup through JNDI. When Castor is used inside a J2EE application server - it is recommended to use JNDI lookup (see the jndi element), - allowing the application server to manage connection pooling and distributed - transactions. -

- The class mapping is included from an external mapping file, allowing - multiple mappings to be included in the same database configuration, or two - databases to share the same mappings. For concurrency and integrity reasons, - two database configurations should never attempt to use overlapping mappings. - It is recommended to use one database configuration per database server. -

- The mapping file is specified using a URL, typically a file: URL. - If the database configuration file and mapping file reside in the same - directory, use a relative URL. Relative URLs also work if the database - configuration and mapping files are obtained from the application JAR and - reside in the same classpath. -

- The driver element specifies the JDBC driver for obtaining - new connections to the database server. The driver is obtained from the JDBC - DriverManager and must be located in the class path. The JDBC URL - locates the driver and provides the access properties. Additional properties - may be specified using param elements (e.g. buffer size, network - protocol, etc). -

- Use the class-name attribute to specify the driver class for - automatic registration with the JDBC DriverManager. If missing, - the driver must be registered in any other means, including properties file, - Class.forName(), etc. -

- For example, to configure an Oracle 8 thin driver, use: -

-  <jdo-conf>         
-     <database name="ebiz" engine="oracle">
-        <driver class-name="oracle.jdbc.driver.OracleDriver"
-                url="jdbc:oracle:thin:@host:port:SID">
-           <param name="user" value="scott" />
-           <param name="password" value="tiger" />
-        </driver>
-        ...
-     </database>
-     ...
-  </jdo-conf>

-

- The data-source element specifies the JDBC DataSource for - obtaining new connections to the database server. DataSources are defined - in the JDBC 2.0 standard extension API which is included with Castor, and - implement the interface javax.sql.DataSource. -

- The DataSource implementation class name is specified by the - class-name attribute and configured through Bean-like accessor - methods specified for the param element. - The DTD for the param element is undefined - and depends on the DataSource being used. -

- For example, to configure a PostgreSQL 7.1 DataSource, use: -

-  <jdo-conf>
-     <database name="ebiz" engine="oracle">
-        <data-source class-name="org.postgresql.PostgresqlDataSource">
-           <param name="serverName" value="host" />
-           <param name="portNumber" value="5432" />
-           <param name="databaseName" value="db" />
-           <param name="user" value="user" />
-           <param name="password=" value="secret" />
-        </data-source>
-        ...
-     </database>
-     ...
-  </jdo-conf>

-

- The jndi element specifies the JDBC DataSource for obtaining - new connections to the database server through a JNDI lookup. The JNDI environment - naming context (ENC) is used to obtain a suitable DataSource.. -

- When running inside a J2EE application server, this is the preferred method - for obtaining database connections. It enables the J2EE application server to - configure the connection, maintain a connection pool, and manage distributed - transactions. -

- For example, to specify a J2EE DataSource, use: -

-  <jdo-conf>
-     <database name="ebiz" engine="oracle">
-        <jndi name="java:comp/env/jdbc/mydb" />
-     </database>
-     ...
-  </jdo-conf>

-

3.4.1.1. Transaction demarcation

- As opposed to release pre 0.9.6, transaction demarcation is now configured - in the JDO configuration file. As such, the user has to specify which transaction - demarcation to use. Transactions when used with Castor JDO can either be - local or global, - and you instruct Castor to use a specific mode by supplying - a <transaction-demarcation> element. -

3.4.1.1.1. Local Mode

- When using Castor JDO stand-alone and you want Castor to control - transaction demarcation, please use the - <transaction-demarcation> element as follows: -

-<transaction-demarcation mode="local" />
-           
3.4.1.1.2. Global Mode

- When running inside a J2EE application server, and you want to use - global (XA) transactions, please make use the - <transaction-demarcation> element as follows: -

-<transaction-demarcation mode="global">
-   <transaction-manager name="jndi" />
-</transaction-demarcation>
-           

- In this mode, the <transaction-manager> - element specifies the transaction manager that is used by your - J2EE container to control these transactions. -

The following transaction managers are supported in Castor:

Table 3.2. Supported transaction managers

NameDescription
jndiTM looked up in the JNDI ENC
websphereIBM WebSphere 4 and previous releases
websphere5IBM WebSphere 5
websphere51IBM WebSphere 5.1
jotmJOTM
atomikosAtomikos

- In addition to specifying the transaction manager name, it is possible - to pass arbitrary name/value pairs to the transaction manager instance. -

[Note]Note

- At the moment, only the JNDI transaction manager factory supports - such an attribute. In this context, the jndiEnc attribute can be - used to specify what JNDI ENC to use to lookup the transaction - manager as shown below: -

-  <transaction-demarcation mode="global">
-     <transaction-manager name="jndi">
-        <param name="jndiEnc" value="java:comp/env/TransactionManager"/>
-     </transaction-manager>
-  </transaction-demarcation>

3.4.1.2. Sample Configuration File

- The following configuration file instructs Castor JDO to execute against - an Oracle RDBMS using the thin (type 4) JDBC driver, and refers to - three mapping files that define mappings for product, order and customer related - data. -

-  <?xml version="1.0"?>
-  <jdo-conf name="order-system">
-     <database name="ebiz" engine="oracle">
-        <driver class-name="oracle.jdbc.driver.OracleDriver"
-                url="jdbc:oracle:thin:@machine:post:SID">
-           <param name="user" value="scott"/>
-           <param name="password" value="tiger"/>
-        </driver>
-        <mapping href="products.xml"/>
-        <mapping href="orders.xml"/>
-        <mapping href="customers.xml"/>
-     </database>
-     <transaction-demarcation mode="local"/>
-  </jdo-conf>

- The following configuration file uses a connection obtained from the - J2EE application server and a single mapping file: -

-  <?xml version="1.0"?>
-  <jdo-conf>
-     <database name="ebiz" engine="oracle">
-        <jndi name="java:comp/env/jdbc/mydb"/>
-        <mapping href="ebiz.xml"/>
-     </database>
-     <transaction-demarcation mode="global">
-        <transaction-manager name="jndi">
-           <param name="jndiEnc" value="java:comp/env/TransactionManager"/>
-        </transaction-manager>
-     </transaction-demarcation>
-  </jdo-conf>

-

3.4.1.3. Prepared statement pooling

- Castor JDO uses JDBC prepared statements - to execute SQL statements against the specified RDBMS of your choice. - Per definition, Castor JDO does not - provide any prepared statement pooling. As such, Castor relies on prepared - statement pooling being provided by different means. -

- One such way is to use - Jakarta's Commons DBCP - as database connection pool, and to turn prepared statement pooling on by - configuring DBCP accordingly. -

- Please check with - Using Pooled Database Connections - for general information about hot to use DBCP with Castor. -

3.4.1.4. Sample configurations for various databases

- Besides the examples listed above, more configuraton examples can be found in the - configuration files for the Castor JDO tests, which can be found in - src/tests/jdo once you have downloaded and expanded the Castor - source package. For each database (vendor) supported, you are going to find a - database-specific JDO configuration file in this directory, e.g. - src/tests/jdo/mysql.xml for - mySQL™ or - src/tests/jdo/oracle.xml - for Oracle™. -

3.4.1.4.1. Sybase JConnect (JDBC data source)
-  ...
-  <!-- JDBC data source for Sybase using jConnect -->
-  <data-source class-name="com.sybase.jdbc2.jdbc.SybDataSource">
-    <param name="user" value="user" />
-    <param name="password value="secret" />
-    <param name="portNumber" value="4100" />
-    <param name="serverName" value="host" />
-  </data-source>
-  ...
3.4.1.4.2. PostgreSQL (JDBC data source)
-  ...
-  <!-- JDBC data source for PostgreSQL -->
-  <data-source class-name="org.postgresql.PostgresqlDataSource">
-     <param name="serverName" value="host" />
-     <param name="portNumber" value="5432" />
-     <param name="databaseName" value="db" />
-     <param name="user" value="user" />
-     <param name="password" value="secret" />
-   </data-source>
-   ...
-          
3.4.1.4.3. Oracle (JDBC Driver)
-  ...
-  <!-- JDBC driver definition for Oracle -->
-  <driver class-name="oracle.jdbc.driver.OracleDriver"
-          url="jdbc:oracle:thin:@host:post:SID">
-    <param name="user" value="scott" />
-    <param name="password" value="tiger" />
-  </driver>
-  ...
-          
3.4.1.4.4. mySQL (JDBC Driver)
-  ...
-  <!-- JDBC data source for mySQL -->
-  <driver class-name="com.mysql.jdbc.Driver"
-          url="jdbc:mysql:/localhost:2206/test">
-    <param name="user" value="scott" />
-    <param name="password" value="tiger" />
-  </driver>
-  ...
-          
3.4.1.4.5. InstantDB
-  ...
-  <!-- JDBC data source for InstantDB -->
-  <driver class-name="org.enhydra.instantdb.jdbc.idbDriver"
-          url="jdbc:idb:C:\\castor-1.0\\db\\test\\test.prp">
-    <param name="user" value="" />
-    <param name="password" value="" />
-  </driver>
-  ...
-          

3.4.2. JDOConfFactory - A programmatic way of configuring Castor JDO

- Many applications need to connect to a database using varying - user accounts or database instances. To accomplish this, the utility class - org.exolab.castor.jdo.util.JDOConfFactory">JDOConfFactory - and a - JDOManager.loadConfiguration(org.exolab.castor.jdo.conf.JdoConf) - method has been added to Castor. -

- The following code snippet shows an example how to create a JDO configuration without - the use of a default XML-based database configuration file: -

-  private static final String DRIVER = "oracle.jdbc.driver.OracleDriver";
-  private static final String CONNECT = "jdbc:oracle:thin:localhost:1521:SID";
-  private static final String USERNAME = "scott";
-  private static final String PASSWORD = "tiger";
-  private static final String MAPPING = "mapping.xml";
-  private static final String DATABASE = "mydb";
-  private static final String ENGINE = "oracle";
-  
-  // create driver configuration
-  org.castor.jdo.conf.Driver driverConf =
-      JDOConfFactory.createDriver(DRIVER, CONNECT, USERNAME, PASSWORD);
-      
-  // create mapping configuration
-  org.castor.jdo.conf.Mapping mappingConf =
-      JDOConfFactory.createMapping(getClass().getResource(MAPPING).toString());
-
-  // create database configuration
-  org.castor.jdo.conf.Database dbConf =
-      JDOConfFactory.createDatabase(DATABASE, ENGINE, driverConf, mappingConf);
-     
-  // create and load jdo configuration
-  JDOManager.loadConfiguration(JDOConfFactory.createJdoConf(dbConf));
-  
-  // Construct a new JDOManager for the database
-  jdoManager = JDOManager.createInstance(DATABASE);
-  
-  // Obtain a new database
-  Database db = jdoManager.getDatabase();
-       

- As an alternative to using a org.exolab.castor.jdo.conf.Driver, - you can also configure Castor to use a JDBC 2.0 DataSource: -

-  private static final String DS = "oracle.jdbc.pool.OracleConnectionCacheImpl";
-  private static final String CONNECT = "jdbc:oracle:thin:localhost:1521:SID";
-  private static final String USERNAME = "scott";
-  private static final String PASSWORD = "tiger";
-  private static final String MAPPING = "mapping.xml";
-  private static final String DATABASE = "mydb";
-  private static final String ENGINE = "oracle";
-  
-  // setup properties for datasource configuration
-  Properties props = new Properties();
-  props.put("URL", CONNECT);
-  props.put("user", USERNAME);
-  props.put("password", PASSWORD);
-            
-  // create datasource configuration
-  org.castor.jdo.conf.DataSource dsConf =
-      JDOConfFactory.createDataSource(DS, props);
-              
-  // create mapping configuration
-  org.castor.jdo.conf.Mapping mappingConf =
-      JDOConfFactory.createMapping(getClass().getResource(MAPPING).toString());
-        
-  // create database configuration
-  org.castor.jdo.conf.Database dbConf =
-      JDOConfFactory.createDatabase(DATABASE, ENGINE, dsConf, mappingConf);
-  
-  // create and load jdo configuration
-  JDOManager.loadConfiguration(JDOConfFactory.createJdoConf(dbConf));
-  
-  // Construct a new JDOManager for the database
-  jdoManager = JDOManager.createInstance(DATABASE);
-  
-  // Obtain a new database
-  Database db = jdoManager.getDatabase();
-       

3.4.3. References

3.4.3.1. The JDO Configuration DTD

- For validation, the configuration file should include the following - document type definition. For DTD validation use: -

-  <!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration DTD Version 1.0//EN"
-                            "http://castor.org/jdo-conf.dtd">
-
-             

- For XML Schema validation use: -

-  <!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration Schema Version 1.0//EN"
-                             "http://castor.org/jdo-conf.xsd">
-
-             

- The Castor namespace URI is http://castor.org/. -

- The Castor JDO database configuration DTD is: -

-  <!ELEMENT jdo-conf ( database+, transaction-demarcation )>
-
-  <!ATTLIST jdo-conf
-            name CDATA "jdo-conf">
-
-  <!ELEMENT database ( ( driver | data-source | jndi )?, mapping+ )>
-                       
-  <!ATTLIST database
-            name ID      #REQUIRED
-            engine CDATA "generic">
-
-  <!ELEMENT mapping EMPTY>
-  <!ATTLIST mapping
-            href CDATA #REQUIRED>
-
-  <!ELEMENT driver ( param* )>
-  <!ATTLIST driver
-            url        CDATA #REQUIRED
-            class-name CDATA #REQUIRED>
-
-  <!ELEMENT data-source ( param* )>
-  <!ATTLIST data-source
-            class-name CDATA #REQUIRED>
-
-  <!ELEMENT jndi ANY>
-  <!ATTLIST jndi
-            name CDATA #REQUIRED>
-
-  <!ELEMENT transaction-demarcation ( transaction-manager? )>
-  <!ATTLIST transaction-demarcation
-            mode CDATA #REQUIRED>
-
-  <!ELEMENT transaction-manager ( param* )>
-  <!ATTLIST transaction-manager
-            name CDATA #REQUIRED>
-            
-  <!ELEMENT param EMPTY>
-  <!ATTLIST param
-            name  CDATA #REQUIRED
-            value CDATA #REQUIRED>
-
-
-             

-

-

3.5. Type Support

3.5.1. Types

- The Castor type mechanism assures proper conversion between Java types - and external types. -

3.5.1.1. Castor XML

- Castor XML converts all Java fields into XML element and attribute - values. -

3.5.1.2. Castor JDO

- Castor JDO converts Java fields into SQL columns which are persisted - through the JDBC driver. Due to implementation details, the field - type expected by the JDBC driver is not always the field type defined - for the mapped object. -

- The most common occurrences of mistyping is when using fields of type - FLOAT, DOUBLE, NUMERIC, - and DECIMAL. SQL type FLOAT actually - maps to Java type java.lang.Double. SQL types - NUMERIC and DECIMAL map to Java - type java.math.BigDecimal. -

- When such an inconsistency occurs, Castor JDO will throw an - IllegalArgumentException during object persistence with a - message indicating the two conflicting types. -

- In order to avoid runtime exceptions, we recommend explicitly - specifying types in the mapping file using the SQL typing convention. - See SQL Type Conversion. -

3.5.1.3. Castor DAX

- Castor DAX converts all Java fields into LDAP attribute values. LDAP - attribute values are always textual and are represented as the string - value of the field, e.g. "5" or "true". -

- LDAP attributes may also contain binary values. When storing byte - arrays or serialized Java objects, DAX will store them as byte arrays. -

3.5.2. The Field Mapping

- The field element includes an optional attribute called - type which can be used to specify - the Java type of the field. This attribute is optional since Castor - can always derive the exact Java type from the class definition. -

- We highly recommend that developers use the type field in their mapping - file as a means to provide static type checking. When loading a mapping - file, Castor will compare the actual Java type with the type specified - in the mapping and will complain about inconsistencies. -

- The field type can be specified either given the full class name - (e.g. java.lang.Integer) or using a short name. - The following table lists all the acceptable short names and the Java - types they represent: -

Table 3.3. Acceptable short names

short namePrimitive type?Java Class
big-decimalNjava.math.BigDecimal
booleanYjava.lang.Boolean.TYPE
byteYjava.lang.Byte.TYPE
bytesNbyte[]
charYjava.lang.Character.TYPE
charsNchar[]
clobNjava.sql.Clob
dateNjava.util.Date
doubleYjava.lang.Double.TYPE
floatYjava.lang.Float.TYPE
integerYjava.lang.Integer.TYPE
localeNjava.util.Locale
longYjava.lang.Long.TYPE
otherNjava.lang.Object
shortYjava.lang.Short.TYPE
stringNjava.lang.String
stringsNString[]
streamNjava.io.InputStream

- In addition, support for the following Castor-internal field types - has been added: -

Table 3.4. Castor-internal field types

short namePrimitive type?Java Class
durationNorg.exolab.castor.types.Duration

3.5.3. SQL Dates and Default Timezones

- Castor will use the JDBC - ResultSet.getDate(int, Calendar) - and related methods which take a Calendar object to specify the timezone of - the data retrieved from the database when the timezone information is not - already specified in the data; this ensures that the "current" - timezone is applied. -

- The default time zone can be configured in the castor.properties file; - see the configuration section for details - on how to configure Castor with information about your default time zone. -

- To change the timezone to a different timezone than the default, please - set a (different) value on the - org.exolab.castor.jdo.defaultTimeZone property: -

-# Default time zone to apply to dates/times fetched from database fields,
-# if not already part of the data.  Specify same format as in
-# java.util.TimeZone.getTimeZone, or an empty string to use the computer's
-# local time zone.
-org.exolab.castor.jdo.defaultTimeZone=
-#org.exolab.castor.jdo.defaultTimeZone=GMT+8:00
-      

3.5.4. SQL Type Conversion

- Castor JDO uses the JDBC getObject/setObject methods - in order to retrieve and set fields. These methods do not perform - automatic type conversion, often resulting in unexpected behavior. - For example, when using a NUMERIC field with direct JDBC access, - application developers tend to call getInteger() - or getFloat(), but the Java object returned from - a call to getObject is often a - java.math.BigDecimal. -

- Castor JDO implements automatic type conversion between Java and SQL. - For this mechanism to work, the mapping file must specify the SQL type - being used for Castor to employ the proper convertor. If no SQL type - is specified, no conversion will occur, possibly resulting in an - IllegalArgumentException being thrown. -

- SQL types are specified with the - sql-type attribute using either - the default Java type returned by the JDBC driver - (e.g. java.lang.Integer or the proper SQL type name - (without precision). The following table lists the supported SQL type - names and the corresponding Java types: -

Table 3.5. Supported SQL type names

SQL TypeJava Type
bigintjava.lang.Long
binarybyte[]
bitjava.lang.Boolean
blobjava.io.InputStream
charjava.lang.String
clobjava.sql.Clob
decimaljava.math.BigDecimal
doublejava.lang.Double
floatjava.lang.Double
integerjava.lang.Integer
longvarbinarybyte[]
longvarcharjava.lang.String
numericjava.math.BigDecimal
realjava.lang.Float
smallintjava.lang.Short
timejava.sql.Time
timestampjava.sql.Timestamp
tinyintjava.lang.Byte
varbinarybyte[]
varcharjava.lang.String
otherjava.lang.Object
javaobjectjava.lang.Object

- The following example illustrates how to specify SQL type in field mapping: -

-  <field name="prodId" type="integer">
-    <sql name="prod_id" type="numeric"/>
-  </field>

- Please note that java.util.Date is not automatically converted into a - java.sql.Date object; while it is in theory possible to do so, there - are three different possible storage formats for date information: - as a java.sql.Date, java.sql.Time, and java.sql.Timestamp. Rather than - impose a possibly inappropriate data mapping on an entry, no automatic - transformation will take place. -

- JDBC drivers which do not, themselves, perform a mapping between - java.util.Date and the sql format specified on the database will throw - an error when java.util.Date is passed to them on the prepared - statement. Moreover, auto-conversion of java.util.Date is outside of - the JDBC specification; it is not a supported auto-convert format. -

- Users wishing to store date information into the database should ensure - that they set date, time, or timestamp as the sql type on the - sql-type attribute. -

3.5.5. Parameterized Type Convertors

- Some of the type convertors may have a string parameter, which changes - the conversion algorithm. The parameter is specified in square - brackets after the SQL type, for example: -

-  <field name="active" type="boolean">
-    <sql name="acc_active" type="char[01]"/>
-  </field>

- where "0" is the character value for - false and "1" is - the character value for true. -

- In the above example the first of a bunch of parameterized type convertors - is used, "boolean --> char" convertor. The parameter must have length 2, - the first character is the value for false, - the second character is the value for true. - The default value is "FT". The actual SQL type should be char(1). -

- The second and third convertors are "boolean --> integer" and - "boolean --> numeric". Its parameter must be - + for +1 or - - for -1 representing true. - False is always converted to 0. For example: -

-  <field name="flagWithMinusOneForTrue" type="boolean">
-    <sql name="flag" type="integer[-]"/>
-  </field>

If the parameter is not specified, true is converted to +1.

- The fourth convertor is "date --> char". Its parameter must be a correct - pattern for SimpleDateFormat. For example: -

-  <field name="dateOfBirth" type="date">
-    <sql name="pers_dob" type="char[MMM d, yyyy]"/>
-  </field>

- If the parameter is not specified, the conversion is performed - using toString() method of the Date class. -

- The fifth and the sixth convertors are "date --> integer" and - "date --> numeric". Their parameters are also patterns having syntax - based on the SimpleDateFormat syntax, but repeated characters are - eliminated. The following table shows the substitution rules that are - used to obtain the SimpleDateFormat pattern from the parameter. -

Table 3.6. Substitution rules

Y,yyyyyyear
MMMmonth in year
D,dddday in month
h,HHHhour in day (0~23)
mmmminute in hour
ssssecond in minute
SSSSmillisecond

- For example, "YMD" parameter is expanded to "yyyyMMdd" SimpleDateFormat - pattern, "YMDhmsS" parameter is expanded to "yyyyMMddHHmmssSSS" - SimpleDateFormat pattern. The length of the expanded parameter gives - the minimal number of decimal digits that the actual SQL type must - support. The default value of the parameter is "YMD". -

- The date and time types of - org.exolab.castor.types package - support 2 timelines as defined by XML schema specification. One for timezoned - values and one for non-timezoned values which are treated to be local. - When converting such types to long the timezone information is lost. - In most cases it is no problem to loose for which timezone the value was - specified if the value get converted to UTC time before. But we also loose - if the value had a timezone or not. This causes that we do not know to which - timeline the value belongs. If we just treat it as non-timezoned value while - it has been a timezoned one we have changed the value. -

- Therefore we have added support for another parameterized type converter. This one - allows you to specify if the date and time values created out of a persisted long - value are meant to be timezoned or not. By default, without a parameter, local - date or time instances are created without a timezone. If you specify the parameter - utc in mapping the date or time values are created based on UTC timezone. - It need to be noted that such a mapping can only handle date and time values of one - of the 2 timelines defined by XML schema specification. Having said that this only - applies to the conversion of such values to long and does not cause issues when - converting to string and back. -

-  <field name="timeOfBirth" type="org.exolab.castor.types.Time">
-    <sql name="pers_tob" type="bigint[utc]"/>
-  </field>

3.5.6. BLOB and CLOB Types

- BLOB and CLOB stand for binary and character large objects (or in - Sybase, IMAGE and TEXT types, respectively). This means that most - likely you don't want to load the whole objects into memory, but - instead want to read and write them as streams. Usually these types are - not comparable via the WHERE clause of a SQL statement. - That is why you should disable dirty checking for such fields, e.g. -

-  <field name="text" type="string">
-    <sql name="text" type="clob" dirty="ignore" />
-  </field>

- In this example CLOB field will be read as a String. This may cause - OutOfMemoryError if the text is really large, but in many cases mapping - CLOB to String is acceptable. The advantage of mapping to String is - that we obtain a Serializable value that can be passed via RMI. - Similarly you can map BLOB and CLOB to byte[] and - char[] types, respectively: -

-  <field name="photo" type="bytes">
-    <sql name="photo" type="blob" dirty="ignore" />
-  </field>
-  <field name="resume" type="chars">
-    <sql name="resume" type="clob" dirty="ignore" />
-  </field>

- Now, assume that mapping to String is not acceptable. The natural Java - type mapping for the BLOB type is java.io.InputStream, - and this mapping is supported by Castor: -

-  <field name="cdImage" type="stream">
-    <sql name="cd_image" type="blob" dirty="ignore" />
-  </field>

- The natural Java type mapping for the CLOB type is - java.io.Reader, but this mapping is - not supported by Castor because - java.io.Reader doesn't provide information - about the length of the stream and this information is necessary - for JDBC driver (at least for the Oracle driver) to write the value to - the database. This is why the CLOB type is mapped to - java.sql.Clob: -

-  <field name="novel" type="clob">
-    <sql name="novel" type="clob" dirty="ignore" />
-  </field>

- When you read data from the database, you can use the - getCharacterStream() method to obtain a - java.io.Reader from java.sql.Clob. - When you write data to the database, you can either use the helper class - org.exolab.castor.jdo.engine.ClobImpl to construct - java.sql.Clob from java.io.Reader - and the length: -

-  object.setClob(new ClobImpl(new FileReader(file), file.length());

- or implement the java.sql.Clob interface yourself. -

- But be aware of the followng restriction: if you map BLOB to - java.io.InputStream or CLOB to - java.sql.Clob, then you should turn caching - off for the Java class containing those values, e.g.: -

-  <class ...>
-    <cache-type type="none"/>
-      ...
-      <field name="novel" type="clob">
-        <sql name="novel" type="clob" dirty="ignore" />
-      </field>
-  </class>

- Blob and Clob values cannot be cached, because they are alive only while - the ResultSet that produced them is open. In particular, this means - that you cannot use dirty checking for long transactions with such - classes. -

-

3.6. Castor JDO Mapping

Authors

Bruce Snyder - () - , Werner Guttmann - () -

3.6.1. News

- Release 1.0 M3: -

  • Added collection type 'iterator'.

  • Added collection type 'enumerate'.

  • Added additional syntax for specifying the identity of a class.

-

3.6.2. Introduction

- The Castor mapping file also provides a mechanism for binding a Java - object model to a relational database model. This is usually referred to - as object-to-relational mapping (O/R mapping). O/R mapping bridges the gap - between an object model and a relational model. -

- The mapping file provides a description of the Java object model to - Castor JDO. Via Castor XML, Castor JDO uses the information in the mapping - file to map Java objects to relational database tables. The - following is a high-level example of a mapping file: -

-  <mapping>
-      <class ... >
-          <map-to ... />
-          <field ... >
-              <sql ... />
-          </field>
-          ...
-      </class>
-  </mapping>

- Each Java object is represented by a <class> element composed of attributes, - a <map-to> element and <field> elements. The <map-to> element - contains a reference to the relational table to which the Java object maps. - Each <field> element represents either a public class variable or the - variable's accessor/mutator methods (depending upon the mapping info). Each - <field> element is composed of attributes and one <sql> element. - The <sql> element represents the field in the relational table to which - the <field> element maps. -

- It is possible to use the mapping file and Castor's default behavior in - conjunction. When Castor handles an object but is unable to locate - information about it in the mapping file, it will rely upon its default - behavior. Castor makes use of the Java programming language - - Reflection API to introspect the Java objects to determine the methods - to use. This is the reason some attributes are not required in the mapping - file. -

3.6.3. The Mapping File

3.6.3.1. The <mapping> element

-  <!ELEMENT mapping ( description?, include*, class*, key-generator* )>

- The <mapping> element is the root element of a mapping file. It contains: -

  • an optional description

  • zero or more <include> which facilitates reusing mapping files

  • - zero or more <class> descriptions: one for each class we intend to give - mapping information -

  • zero or more <key-generator>: not used for XML mapping

A mapping file look like this:

-  <?xml version="1.0"?>
-  <!DOCTYPE mapping PUBLIC "-//EXOLAB/Castor Object Mapping DTD Version 1.0//EN"
-                           "http://castor.org/mapping.dtd">
-
-  <mapping>
-     <description>Description of the mapping</description>
-     <include href="other_mapping_file.xml"/>
-
-     <class name="A">
-         ...
-     </class>
-
-     <class name="B">
-        ...
-     </class>
-  </mapping>

3.6.3.2. The <class> element

-  <!ELEMENT class ( description?, cache-type?, map-to?, field+ )>
-  <!ATTLIST class
-            name            ID       #REQUIRED
-            extends         IDREF    #IMPLIED
-            depends         IDREF    #IMPLIED
-            auto-complete   ( true |false ) "false"
-            identity        CDATA    #IMPLIED
-            access          ( read-only | shared | exclusive | db-locked )  "shared"
-            key-generator   IDREF    #IMPLIED >

- The <class> element contains all the information used to map a Java object - to a relational database. The content of <class> is mainly used to describe - the fields that will be mapped. -

Description of the attributes:

  • - name: The fully qualified package name of the - Java object to map to. -

  • - extends: Should be used - only if this Java object extends another Java - object for which mapping information is provided. It should - not be used if the extended - Java object is not referenced in the mapping file. -

  • - depends: For more information on this field, - please see - - Dependent and related relationships. -

  • - identity: For more information on this field, - please see - Design -> Persistence. -

  • - access: For more information on this field, - please see Locking Modes. -

  • - key-generator: For more information on - this field, please see KeyGen. -

Description of the elements:

  • - <description>: - An optional description. -

  • - <cache-type>: - For more information on this field please see - Bounded - Dirty Checking and - Caching. -

  • - <map-to>: - Used to tell Castor the name of the relational - table to which to map. -

  • - <field>: Zero or more - <field> elements are used to describe properties - of each Java object. -

3.6.3.3. The <map-to> element

-  <!ELEMENT map-to EMPTY>
-  <!ATTLIST map-to
-            table      NMTOKEN  #IMPLIED
-            xml        NMTOKEN  #IMPLIED
-            ns-uri     NMTOKEN  #IMPLIED
-            ns-prefix  NMTOKEN  #IMPLIED
-            ldap-dn    NMTOKEN  #IMPLIED
-            ldap-oc    NMTOKEN  #IMPLIED>

<map-to> is used to specify the name of the item that should be associated - with the given Java object. The <map-to> element is only used for the root - Java object.

Description of the attributes:

  • - table: - The name of the relational database table to which the - Java object is associated. -

3.6.3.4. The <field> element

-  <!ELEMENT field ( description?, sql?, xml?, ldap? )>
-  <!ATTLIST field
-            name           NMTOKEN  #REQUIRED
-            type           NMTOKEN  #IMPLIED
-            required       ( true | false )  "false"
-            direct         ( true | false )  "false"
-            lazy           ( true | false )  "false"
-            transient      ( true | false )  "false"
-            identity       ( true | false )  "false"
-            get-method     NMTOKEN  #IMPLIED
-            set-method     NMTOKEN  #IMPLIED
-            create-method  NMTOKEN  #IMPLIED
-            collection     ( array | enumerate | collection | set | 
-                             arraylist | vector | map | hashtable | sortedset | iterator )  #IMPLIED
-            comparator     NMTOKEN  #IMPLIED>

- The <field> element is used to describe a property of a Java object. It provides: -

  • the identity ('name') of the property

  • the type of the property (inferred from 'type' and 'collection')

  • - the access method of the property - (inferred from 'direct', 'get-method', 'set-method') -

- From this information, Castor is able to access a given property in the Java - object. -

- In order to determine the signature that Castor expects, there are two easy - rules to apply. -

1. Determine <type>.

  • - If there is no 'collection' attribute, - the object type is the value of the 'type' attribute. - The value of the type attribute can be a fully qualified Java object - like 'java.lang.String' or one of the allowed aliases: -

    - -
    - - - - -
    short namePrimitive type?Java Class
    big-decimal Njava.math.BigDecimal
    big-integer Yjava.math.BigInteger
    boolean Yjava.lang.Boolean.TYPE
    byte Yjava.lang.Byte.TYPE
    bytes Nbyte[]
    char Yjava.lang.Character.TYPE
    chars Nchar[]
    clob Njava.sql.Clob
    date Njava.util.Date
    double Yjava.lang.Double.TYPE
    float Yjava.lang.Float.TYPE
    int Yjava.lang.Integer.TYPE
    integer Yjava.lang.Integer
    locale Njava.util.Locale
    long Yjava.lang.Long.TYPE
    other Njava.lang.Object
    serializableYjava.io.Serializable
    short Yjava.lang.Short.TYPE
    sqldate Yjava.sql.Date
    sqltime Yjava.sql.Date
    string Njava.lang.String
    strings NString[]
    stream Njava.io.InputStream
    timestamp Njava.sql.Timestamp
    -

    - Castor will try to cast the data in the mapping file to the proper Java - type. -

  • - If there is a collection attribute, - the items in the following table can be - used: -

    - -
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    nametypedefault implementationadded in release
    array<type_attribute>[]<type_attribute>[]
    enumeratejava.util.Enumeration-1.0 M3
    collectionjava.util.Collectionjava.util.ArrayList
    setjava.util.Setjava.util.HashSet
    arraylistjava.util.ArrayListjava.util.ArrayList
    vectorjava.util.Vectorjava.util.Vector
    mapjava.util.Mapjava.util.HashMap
    hashtablejava.util.Hashtablejava.util.Hashtable
    sortedsetjava.util.SortedSetjava.util.TreeSet1.0 M2
    iteratorjava.util.Iterator n/a 1.0 M3
    -

    - The type of the object inside the collection is the 'type' attribute. The 'default - implementation' is the type used if the object holding the collection is found - to be null and needs to be instantiated. -

    - For hashtable and map, Castor will add an object using the put(object, object) - method - the object is both the key and the value. This will be improved in the future. -

- It is necessary to use a collection when the content model of the element expects more - than one element of the specified type. This is how the 'to-many' portion of a relationship - is described. -

[Note]Note

- It is not possible to use a collection of type 'iterator' or 'enumerate' - with lazy loading enabled. -

- 2. Determine the signature of the method -

  • - If 'direct' is set to true, - Castor expects to find a public Java object variable with the - given signature: -

      public <type> <name>;
  • - If 'direct' is set to false or omitted, - Castor will access the property though accessor methods. - Castor determines the signature of the accessors and mutators as follows: - If the 'get-method' or 'set-method' attributes are supplied, it will - try to find a function with the following signature: -

      public <type> <get-method>();

    or

      public void <set-method>(<type> value);

    - If 'get-method' or 'set-method' attributes are not provided, Castor will try to - find the following functions: -

      public <type> is<capitalized-name>();

    or

      public <type> get<capitalized-name>();

    - the former for boolean types, the latter for all other types (or if the - 'is<capitalized-name>()' method is not defined for a boolean type), and - a standard set method of -

      public void set<capitalized-name>(<type> value);

    - If there are more than one set<capitalized-name> method it first tries to find the one - that exactly matches <type>. If no such method is available and <type> is a java - primitive type it tries to find a method with the corresponing java object type. -

    - <capitalized-name> means that Castor uses the <name> attribute by changing its first - letter to uppercase without modifying the other letters. -

    - The content of the <field> element will contain the information about how to map - this field to the relational table. -

Description of the attributes:

  • - name: If 'direct' access is used, - 'name' should be the name of a public variable in the object we are - mapping (the field must be public, not static and not transient). - If no direct access and no 'get-/set-method' is specified, - this name will be used to infer the name of the accessor and - mutator methods. -

  • - type: The Java type of the field. - This is used to access the field. Castor will use this information - to cast the data type(e.g. string into integer). It is also used - to define the signature of the accessor and mutator methods. - If a collection is specified, this is used to specify the type of - the object inside the collection. See description above for more - details. -

  • - required: If true, the field is not optional. -

  • - transient: If true, the field will - be ignored during persistence (and XML un-/marshalling). - If you want this field to be ignored during any persistence-related - operations only, please use the 'transient' attribute at the <sql> - level. -

  • - identity: If true, the field is part of - the class identity. Please use this as an alternative way of specifying - the identity of an object. -

  • - direct: If true, Castor expects a public - variable in the object and will modify it directly. -

  • - collection: If a parent object expects - more than one occurrence of one of its fields, it is necessary to specify - which collection type Castor will use to handle them. The type specified - is used to define the type of the content inside the collection. -

  • - comparator: If the collection type equals - 'sortedset', it is possible to specify a - java.util.Comparator instance that will be used with - the java.util.SortedSet (implementation) to specify - a custom sort order. Please use this attribute to specify the class name - of the Comparator instance to be used. Alternatively, it is possible to not - specify a Comparator instance and have the Java objects stored in the - SortedSet implement java.util.Comparable - to specify the sort order. -

  • - get-method: An optional name of the - accessor method Castor should use. If this attribute is not set, - Castor will try to guess the name with the algorithm described above. -

  • - set-method: An optional name of the - mutator method Castor should use. If this attribute is not set, - Castor will try to guess the name with the algorithm described above. -

  • - create-method: Factory method - for instantiation of the object. -

3.6.3.5. The <sql> element

-  <!ELEMENT sql EMPTY>
-  <!ATTLIST sql
-            name        NMTOKENS  #IMPLIED
-            type        NMTOKENS  #IMPLIED
-            many-key    NMTOKENS  #IMPLIED
-            many-table  NMTOKEN   #IMPLIED
-            transient   ( true | false )    "false"
-            read-only   ( true | false )    "false"
-            dirty       ( check | ignore )  "check">
-            cascading	( create | delete | update | all | none ) "none"

- The <sql> element is used to denote information about the database - column to which a Java object is mapped. It should be declared for all - <field> elements. Each <field> element contains one <sql> - element. The <sql> element correlates directly to the <map-to> - element for the containing <class> element. The <sql> elements - contains the following attributes: -

  • - name: The name of the column in the - database table. -

  • - type: The JDBC type of the column. - It is inferred from the object when the type of this field is a - persistent Java class that is defined elsewhere in the mapping. - The complete list of automatic type conversions, and which values - require manual mapping (e.g, java.util.Date) is listed in the - SQL Type Conversion - section of the Type Support document. -

  • - read-only: If true, the column in - the relational database table will only be read, not updated or deleted. -

  • - transient (as of 0.9.9): If true, the - field will be ignored during persistence only. If you want this field - to be ignored during XML un-/marshalling as well, please use the - 'transient' attribute at the <field> level. -

  • - dirty: If the value is 'ignore', the - field will not be checked against the database for modification. -

  • - cascading: If the field is a relation, - this attribute specifies which operations to cascade. Possible values - are: 'all', none', 'create', 'update' or 'delete'; when not specifying - 'none' or 'all', it is possibel to specify more than one value, using - whitespace as a delimiter (e.g. 'create update'). For further - information see - HOW-TO - on using cascading operation. -

- There are two more attributes used only - with 'to-many' relations. -

  • - many-key: Specifies the name - of the column that holds the foreign key to this object. - That column is in the database table that stores objects - of the Java type of this field. -

  • - many-table: Specifies the - name of the bridge table that contains the primary keys of - the object on each side of the relationship. This is - only used for many-to-many relationships. -

-

3.7. Castor JDO FAQ

3.7.1. Castor's relation to other specifications

3.7.1.1. Does Castor JDO comply with the SUN JSR-000012 specification?

- No, Castor JDO doesn't comply with the SUN's JDO specification. -

- Although Castor JDO carries very similar goals as SUN's JDO, it has - been developed independently from the JSR. -

- Although it is not impossible to shape (perhaps "hammer" is a more - descriptive verb) Castor JDO into the SUN's JDO specification, there - are several major technical differences which make it unfavorable to - do so. Castor is RDBMS centric. Each persistence object loaded by - Castor is locked. Locks in Castor are observable, meaning that locks - may not be granted because of timeout or deadlock. On the other - hand, the SUN's JDO hides details about locks. -

- Internally, Castor JDO maintains a single copy of lock (and cache) - for each active persistence object for all transaction. SUN's JDO - specification implicitly requires a copy of cache per object per - transaction. SUN's JDO also implicitly requires a bytecode modifier - which Castor doesn't require. -

- Castor also provides other features, such as key generators, long - transaction support and OQL query which cannot be found in SUN's JSR. -

3.7.1.2. Is Castor JDO better than EJB CMP?

- The relation between JDO and EJB Container-Managed - Persistence is more complicated than simply saying, "one - is better than the other". -

- An Entity Bean may manage persistence itself - the EJB - specification calls this Bean Managed Persistence - (BMP). Alternatively, the Entity Bean may rely on an EJB - container to manage all peersistence automatically - the - EJB specification calls this Container Managed Persistence - (CMP). When implementing BMP, an Entity Bean may use - Castor JDO as its persistence mechanism, or it may use - others methods, such as dealing with JDBC directly. - During CMP, an EJB Container vendor may implement their - CMP on top of Castor JDO. In such an implementation, - Castor JDO will be used to persist the Entity Bean. -

- If a developer would like to take advantage of an EJB's - life-cycle management, security, the "write once deploy - anywhere" promise and other distributed business - application facilities, then EJB will be the right - choice. Otherwise, the fact that Castor is simple, is Open - Source (you can always include Castor in your application - or product), has much less overhead, provides more design - freedom, and is integrated with Castor XML may be enough - of a reason to choose Castor JDO. -

3.7.2. XML related questions

3.7.2.1. Is it possible to make XML marshalling transactionally using Castor?

- No. The decision of putting XML and JDO together is NOT intended to - make XML marshalling transactional. Instead, the integration is done - to help developers of a typical client-server situation whereby an - application server receives incoming XML messages, process the - messages and replies to the client. -

- With Castor, incoming XML messages can be unmarshaled into data - objects. Required information can be obtained from a database using - JDO in form of data objects. With this approach, all data - manipulation can be done in an object-oriented way. Changes to JDO - data objects can be committed transactionally, and result data - objects can be marshaled into XML and returned to the client. -

3.7.2.2. Is it possible to do queries on a XML file using Castor?

- No, Castor does not provide an OQL query facility on a XML file. If - querying is important for you, you should consider using a DBMS to store - your data instead of using XML files, especially if querying performance - is a concern. -

- Another alternative is parse an XML Document directly and use XPath to - retrieve Nodes and/or NodeSets from an XML Document. Other open source - tools which provide this functionality are: -

-

3.7.3. Technical questions

3.7.3.1. Where can I find some examples to start with?

- Download the full SVN snapshot and look into the src/tests/jdo - directory. -

3.7.3.2. I have encountered problems using Sun JDBC-ODBC bridge with Castor...

- It cannot be used with Castor, because it doesn't allow more than one - open ResultSet at the same time. - Either use JDBC driver of type > 1, or use some other JDBC-ODBC - bridge without such a restriction - (for example, from Easysoft). -

3.7.3.3.  - My get-method for the Collection of dependent objects returns null. - Why? -

You should initialize the Collection yourself: -

-private Collection _children = new ArrayList();
-
-public Collection getChildren() {
-    return _children;
-}
-            

-

3.7.3.4. Should my JDO classes implement some special interface?

- In general, no. If you need some behavior that is not directly - supported by Castor, you can implement interface - org.exolab.castor.jdo.Persistent. - In order to use dirty checking for long transaction you should - implement interface - org.exolab.castor.jdo.TimeStampable. - If you need an example of use of these interfaces, see Persistent.java - and TestPersistent.java among Castor JDO tests. -

3.7.3.5. Can Castor automatically create/remove related objects?

- First of all, let's agree upon terminology. We distinguish dependent - and independent objects: - -

  • - dependent objects are bounded - to the parent object's lifecycle -

  • - independent objects have - independent lifecycle -

- - Thus, dependent objects are created/removed automatically, when - their parent object is created/removed, while all operations on - independent objects should be performed explicitly. -

- However, with Castor 0.8.x you cannot describe explicitly the kind - of object. Instead, the following rule applies: if you have - one-to-many relation, and each side of the relation refers to - another (Collection attribute on "one" side, simple attribute on - "many" side), then "many" side is a dependent object. All other - objects are independent. In particular, related objects via - one-to-one relation are not created/removed automatically. -

- With Castor 0.9 dependent objects should be described via "depends" - attribute of "class" element in mapping configuration file. -

- If you wish some independent object was created and/or removed - automatically on operations on other independent object, you may - use interface Persistent to code the desired - behavior. -

3.7.3.6.  - Is Castor JDO using any connection pooling mechanism to improve - the overall performance? -

- No, Castor JDO doesn't have any built-in JDBC resource pooling. - However the framework can transparently use any resource pooling - facilities provided through DataSource implementation or - -even better- through JDNI. In fact we even recommend people to use - some Connection and PreparedStatement pool with Castor as this can - increase Castor's performance 3-5 fold. -

- For example the following set of statements: -

-db.begin();
-db.execute(...)
-db.commit()
-	            

- will be executed in much less time with the resource pooling because it - will avoid creating a new physical JDBC connection at every execution. -

- With Oracle, instead of specifying the usual JDBC driver you can use a - DataSource that specifically provides some Connection caching/pooling. -

- Thus if your jdo config file looks like : -

-        <database name="..." engine="oracle" >
-            <driver class-name="oracle.jdbc.driver.OracleDriver"
-                    URL="jdbc:oracle:thin:@localhost:1521:TEST" >
-                <param name="user" value="SYSTEM"/>
-                <param name="password" value="manager"/>
-            </driver>
-            ...
-        </database>
-		        

- then it can be changed into (for example): -

-        <database name="..." engine="oracle" >
-            <data-source class-name="oracle.jdbc.pool.OracleConnectionCacheImpl">
-                <params URL="jdbc:oracle:thin:@localhost:1521:TEST"
-                        user="scott" 
-                        password="tiger"
-                />
-            </data-source>
-            ...
-        </database>
-		        

-

- When Castor is used inside a Container such as an EJB container - (within BMP or Session Bean), then the Container usually provides - the JDBC resource through the JNDI ENC, which implicitely includes - pooling facilities. -

3.7.3.7.  - I am getting ClassNotFoundException for my JDO class, - but it is in the class path. Why? -

- Probably castor.jar file is in jre/lib/ext directory. In this case - you should call: -

-      jdo.setClassLoader(getClass().getClassLoader());
-	            

- before jdo.getDatabase(). -

3.7.3.8.  - I am getting exception - 'the class ... is not persistence capable...'. Why? -

- In this case as well as in many others you can get more information - with the help of logging. Call: -

-  jdo.setLogWriter(Logger.getSystemLogger());
-	        

and seek in the output for warnings and errors.

3.7.3.9.  - I call db.remove() on the dependent object and commit, - but this doesn't work... -

- You should not add/remove dependent objects directly. In order to - add/remove the dependent object you should just add/remove it from the - collection in the master object and call db.commit() -

- Dependent objects cannot be created/removed explicitly. It's created - automatically when it is added to a master object, and removed - automatically when it de-linked/dereferenced from a master object. -

- Otherwise, we will be encounter into problem where a dependent object - created explicitly but removed implicitly (delinked from a master object), - or vice versa. It can also lead to other problems that are harder to - detect. -

3.7.3.10.  - How should I represent string/date/boolean literals in OQL query? -

- It is recommended to replace literals with parameters and to set them - via OQLQuery.bind(), for example: -

-OQLQuery query = db.getOQLQuery(
-        "SELECT p FROM Person p "
-      + "WHERE name LIKE $1 AND dob>$2 AND married=$3");
-query.bind("John %");
-query.bind((new SimpleDateFormat("yyyy-MM-dd"))
-       .parse("1960-01-01"));
-query.bind(false);
-         

3.7.3.11.  - I get 'java.lang.AbstractMethodError: getBigDecimal' - for numeric fields. Why? -

- Your JDBC driver is not JDBC 2.0 compliant, upgrade it or find another one. -

3.7.3.12. Does Castor support both one-way and two-way relationships?

- Typcially a relationship between two objects is either one-way - (aka uni-directional) or two-way (aka bi-directional). - Officially, Castor currently only supports bi-directional relationships. - For example, if an Order object contains a - reference to a LineItem object, the - LineItem object must contain a reference to the - Order object. However, this requirement is not enforced in all - situations. -

- This is a very complex problem to solve. So until Castor is expanded - the support uni-directional relationships, the best policy is to - implement the bi-directionalality for all relationships. This will - ensure proper functionality. -

3.7.3.13.  - I have an object that holds a relation to itself. - Does Castor support this? -

- This is a very common occurrence in an object model and is known as - a self-referenential relationship. Unfortunately, Castor does not - currently support self-referential relationships. An example of such - a relationship occurs when a Folder object contains - a reference to another Folder object. - Castor does not currently support this. However, there are ways - around this limitation. -

- One way is to manage this type of relationship manually. For example, - let's say that a parent object FolderA needs to hold - references to child objects FolderB, - FolderC and FolderD. - The Folder object contains not only a property - to hold its own id, but also a property to hold its parent id - (we'll call this parentId). - The parentId property is used to determine - if there is a relationship to another Folder object. - If parentId is null, there is no relationship. - If parentId is populated, there is a relationship - and the object tree can be walked by comparing the object id to the - parentId. When the two properties are equal, - you're at the top of the tree. -

- Another say to solve this problem is to make use of an intermediary - object. For example, a Folder object contains a - Reference object in lieu of the actual - Folder object. The Reference - object is somewhat of a proxy object whereby it only contains enough - information to identify the object to which the - Reference object refers. Then the - Folder object can be easily instantiated via the - information contained in the Reference object. -

3.7.3.14.  - Why do I get an ObjectModifiedException when trying to commit - a transaction? -

- The dirty checking engine will throw an - ObjectModifiedException when the values in the - cache and in the database are different. This can happen when - someone else changed the database content, but also when type - mapping is not reversible. -

- For example, if a java timestamp (java.util.Date) - is stored as a DATE, the time part is lost and the dirty checking - will fail. Oracle cannot tell the difference between an empty String - and a null value: if an attribute value is an empty String, dirty - checking will also fail. Some precision loss sometimes occur with - floating point numbers. -

- To avoid this, always use reversible mapping conversions. If this - is not possible, mark the fields with dirty="ignore" - in the mapping file. -

3.7.3.15. I'm receiving a java.sql.SQLException: ORA-01461

- When using Weblogic Portal 4.0 with Oracle I am receiving the following - error: -

-java.sql.SQLException: ORA-01461: can bind a LONG value only for insert into a LONG column
-	            

- According to Weblogic Release Notes, this error can remedied by setting - a Weblogic environment variable. -

3.7.4. Castor and performance caches

3.7.4.1.  - Sometimes long transaction fails: on update() it is thrown - ObjectModifiedException. Why? -

- Most probably the object that is being updated has more than 100 related - objects of one class and the cache size for this class is not enough. - You should either increase the size of the cache or change the cache type - to time-limited (the default cache type is count-limited, the default - size is 100), for example: -

-<class ...>
-  <cache-type type="count-limited" capacity="1000"/>
-  ...
-</class>
-		        

-

3.7.4.2. Can I use the cache-type='none' with long transactions?

- As of release 0.9.5.3, you cannot. When using a cache of type 'none' - with your 'Timestampable' objects, a MappingException is thrown when - performing long transactions. Currently, Castor requires a (performance) - cache of type other than 'none' to be used with classes that implement - the TimeStampable interface. In other words, - if you want to use long transactions, please make sure that you use one - of these cache types: 'unlimited', 'count-limited' or 'time-limited'. -

- The next entry has some more information about a potential cause of - confusion in the context of long transactions and a cache type other - than 'unlimited'. -

3.7.4.3.  - What is causing a PersistenceException with long transactions and - how do I fix it? -

- With long transactions, sometimes update() throws a PersistenceException. - As of release 0.9.5.3, Castor requires a (performance) cache (of type - other than 'none') to be used with classes that implement the - TimeStampable interface. -

- Please note that if you are using a cache type other than 'unlimited', - it is possible that objects expire from the cache. This case will be - highlighted to you by a PersistenceException being thrown. -

- In this cases, please consider switching to cache type 'unlimited' - (if possible) or increase the size of the cache according to your - needs when using 'count-limited' (which has a default capacity of 100). -

3.7.5. OQL

3.7.5.1. Is there any document available for Castor OQL?

- Yes. It is available from the Castor website: - Advanced JDO —> OQL -

3.7.5.2.  - The OQL document describes several phases of development. - Which is the current phase? -

We are currently working on Phase 3.

3.7.5.3. Does Castor OQL support sub-queries?

Not yet

3.7.5.4.  - I cannot get Castor OQL to join two objects for me. Is it supported? -

- Yes or no. Castor OQL supports implicit joins. And, in most case, - you simply don't need explicit join. -

- Consider the following example, -

-SELECT o FROM Order o, LineItem i WHERE o.id = i.id AND i.price > 100
-	            

-

- It is simply equivalent to the following OQL -

-SELECT o FROM Order o WHERE o.lineItem.price > 100
-	            

-

3.7.5.5. Can I write a pass-thru OQL?

- Yes. Just put "CALL SQL" keywords in front of your SQL statement. For example, -

-OQLQuery oql = castorDb.getOQLQuery(
-    "CALL SQL SELECT id, name, date "
-   +"FROM user WHERE upper(name) like $1 AS myapp.Product");
-	            

-

- - But remember that the order of the fields listed must match what is - defined in the mapping file. - -

3.7.5.6. Does Castor OQL support struct?

- No, Castor OQL doesn't support struct. For example, the following - query CANNOT be done: -

-select c.name, c.age from Client c
-	            

-

3.7.5.7. How do I structure a query using the 'LIKE' expression?

- A query using the 'LIKE' expression includes the use of the SQL - wildcard '%'. The wildcard must be included in the - bind() statement: -

-        OQLQuery oql = castorDb.getOQLQuery(
-                "SELECT p FROM Product p WHERE p.name LIKE $1" );
-        oql.bind( "%widget%" );
-	            

-

3.7.5.8. Does Castor support the SQL 'IN' expression?

- Yes. However, the full expression is a bit different using the LIST - keyword. The following example provides a demonstration: -

-SELECT p FROM Product p WHERE p.id IN LIST ( 123, 456, 789 )
-	            

-

- If identifiers other than numbers are used, those identifiers must be - quoted: -

-SELECT p FROM Product p WHERE p.name IN LIST ( "abc", "jkl", "xyz" )
-	            

-

- To include NULL values in the 'IN' list, use the 'nil' keyword: -

-SELECT p FROM Product p WHERE p.name IN LIST( "ABC", nil )
-	            

-

- It is even possible to include bind values in the 'IN' lists - using the following syntax: -

-SELECT p FROM Product p WHERE p.id IN LIST( $(int)1, $2, $3 )
-	            

-

3.7.6. Features requests

3.7.6.1. Can a foreign key be part of multiple primary keys?

- Unfortunately, the answer is no. We're aware that many users need - this feature so it is a very high priority in our todo list. -

- If foreign key is the primary key, as a workaround you may consider - using the 'extends' relationship. -

3.7.6.2. Is polymorphic collection supported?

Unfortunately, the answer is no.

- In version 0.8.11, we tried to enable polymorphic collection by - introducing the notation of Object Reloading. Object Reloading - delegates the determination of the class to a data object. However, - it is proved that reloading can only be done before any instance of - the target object is returned to user, and we have no way to determine - that. As a result, we removed the support in version 0.9.x. -

- In the near future, we are going to use a new mechanism to provide - extends. The new mechanism loads a table with an SQL statement that - outer-joins all of the extending tables with the base. The existence - of an extended table row can be used to determine the class of a data - object. Notice that all extended table rows of the same entity should - always be stored in the same data-store. -

- In the further future, we also want to let users to define a - discriminator column (or determinance field). Basing on the value of - discriminator columns in the base table, the bridge layer fetches the - additional information and returns the combined entity with the - appropriate list of entity classes. -

3.7.7. Data model issues

3.7.7.1. Is it possible to map an object to more than one tables?

- Yes, if the two tables share the same identity, you can specify one - data object to "extends" the other. When the extended data object is - loaded, its table (specified in <map-to/> will be joined - with all the tables of its super classes'. -

- Another solution (in my opinion more flexible) is having two set - of methods in the main object. One for Castor JDO and another for - application. -

- Consider the following example: -

-class Employee {
-   private int _employeeNumber;
-   private Address _address;
-   private Collection _workGroup;
-
-   public int getEmployeeNumber() {
-        return _employeeNumber;
-   }
-   public void setEmployeeNumber( int id ) {
-        _employeeNumber = id;
-   }
-
-   // methods for Castor JDO
-   public Address getAddress() {
-       return _address;
-   }
-   public void setAddress( Address address ) {
-        _address = address;
-   }
-   public Collection getWorkGroup() {
-        return _workGroup;
-   }
-   public Collection setWorkGroup( Collection workGroup ) {
-        _workGroup = workGroup;
-   }
-
-   // methods for application
-   public String getAddressCity() {
-       return _address.getCity();
-   }
-   public String getAddressZip() {
-       return _address.getZip();
-   }
-   // ...
-}
-	            

-

3.7.7.2.  - Can an object with the same identity be re-created after being removed - in the same transaction? -

- Yes, as long as the deleted object is the same instance as the one - being recreated. -

3.7.7.3. What is a dependent object?

- Dependent object is actually a concept from the object-oriented - database world. A dependent object's lifetime depends on its master - object. So, create/delete/update of the master object will trigger - the proper actions, newly linked dependent object will be - automatically created and de-referenced dependent object will be - removed. -

- The concept was also used in the earlier CMP 2.0 draft, although - it is later removed. -

3.7.7.4.  - Can a data object involved in many-to-many relationship be dependent? -

No

3.7.8. Castor JDO design

3.7.8.1. How does Castor JDO work anyway?

Let's use object loading as an example.

- When an application invoke db.load, the underneath - TransactionContext is invoked. - If the object with the requested identity exists in the - TransactionContext, previously loaded object in the - TransactionContext is returned. Otherwise, - TransactionContext creates a new instance - of the interested type and invokes LockEngine to "fill" the object. -

- LockEngine acquires a lock of the object, - and it makes sure ClassMolder has a thread-safe - environment when it invokes ClassMolder. - In ClassMolder, if the interested set of fields - representing the object is not existed in the cache yet, - SQLEngine will be invoked and the set of fields - from the underneath data store will be returned. - ClassMolder binds the loaded or cached fields into - the new instance. ClassMolder requests the - TransactionContext to load the related and the - dependent objects. Eventually, the object is returned after all of - the relationships are resolved. -

- The process of commit has several states. The first state is - preStore. In preStore state, objects existing in the - TransactionContext are checked for modification - one by one, including dependent and related objects. - De-referenced dependent objects are marked as delete-able, - and reachable dependent objects are added into - TransactionContext. An object is marked - "dirty" if it is modified. Also, if any modification should cause - any related or dependent to be dirty, the related or dependent object - is marked as dirty as well. -

- After the preStore state, all dirty object is properly stored. And, - all marked delete object will be removed. Then, the connection is - committed. If succeed, all cache with be updated. Finally, all lock - is released. -

3.7.8.2.  - Does Castor support two-phase commits? How is this implemented? -

- Yes, via javax.transaction.Synchronization interface. -

- For Castor to work with global transactions, Castor must be configured - to use global transaction demarcation in its main configuration file: -

-<jdo-conf>
-   ...
-   <transaction-demarcation mode="global" >
-      <transaction-manager name="jndi" />
-   </transaction-demarcation>
-</jdo-conf>
-            

When retrieving a Database instance via

-...
-JDOManager.loadConfiguration("jdo-conf.xml");
-JDOManager jdo = JDOManager.createInstance("mydb");
-...
-Database db = jdo.getDatabase();
-            

- the Database implementation will authomatically - be registered with the transaction manager, as it implements - javax.jta.Synchronization interface. - Subsequently, the transaction manager communicates with Castor - via the beforeCompletion() and afterCompletion() calls. -

3.7.8.3. Does Castor support nested transaction?

No

3.7.9. Working with open source databases

3.7.9.1. Does Castor support PosgreSQL?

- Yes, starting from PostgreSQL 7.1, where outer joins support has - been added. -

3.7.9.2. Does Castor support MySQL?

- Yes, starting from MySQL version 3.23, where transaction support has - been added. Note: if you use Mark Matthews MySQL JDBC driver, then - you need version 2.0.3 or higher. -

3.7.9.3. Which Open Source database is supported better?

- For now only with - PostgreSQL 7.1 - and SAP DB you get a full - set of Castor features. Other Open Source databases don't support - select with write lock, so db-locked locking mode doesn't work - properly (it works in the same way as exclusive locking mode). -

- All other Castor features are supported with - MySQL, - Interbase, - InstantDB and - Hypersonic SQL. -

3.7.10. RDBMS-specific issues

3.7.10.1. MySQL

3.7.10.1.1. Use of DATETIME fields in general

- MySQL in it's current releases (4.0.x and 4.1.x) does not store fractions of a - second in fields of type DATETIME that are mapped to java.sql.TimeStamp fields. - As a result, Castor will throw ObjectModifiedExceptions during commits as Castor - internally maintains fractions of a seconds. -

- Instead, Please use a column type that can be mapped to a long value, as Castor - internally handles conversion between java.util.Date and long values with - the required precision. -

3.7.10.1.2. Use of TIMESTAMP fields & NULLs in long transactions

- In MySQL, fields of type 'Timestamp' exhibit special behaviour wih - regards to NULLs. When inserting a "NULL" into such a field, it - actually inserts the current date and time. This causes problems - for Castor's caching mechanism since Castor internally believes the - field is still NULL. If you subsequently perform an update on the - entry whilst it is still in the cache, an ObjectModifiedException - will be thrown, because Castor believes that the database record - has changed in the meantime. -

The workaround is to use a DATETIME field instead of TIMESTAMP.

3.7.10.1.3. MySQL 4.1.x and upgrade issues

- As with many other open source products, MySQL seems to be changing - slightly from version to version. There seems to be a problem with - concurrency in MySQL 4.1.5 that can be resolved by upgrading to - 4.1.7 or higher. -

- At Castor we frequently use Connector/J 3.0.16, 3.1.13 and nowadays 5.1.6 to - execute our test farmework. If you use one of this versions of Connector/J - you should be on the safe side. If you are hit by any problems using one of - these versions, please let us know. -

3.7.10.2. Oracle

3.7.10.2.1. Oracle & (C|B)LOB fields

- As of Oracle release 10g, the problem of Castor to handle BLOBs - with a size greater than 2kB and CLOBs with a size greater than - 4 kB correctly has been resolved. With the 10 release of Oracle's - JDBC driver, both driver types (type 2 and type 4) can be used. - With earlier releases, only the OCI driver (type 2) seems to work. -

- The 10g release of the Oracle JDBC Driver can be downloaded - here. -

3.7.11. Castor & Logging

3.7.11.1.  - How can I integrate Castor's logging with a logging infrastructure - using Log4J? -

- Please see - - this message from the mailing list. It includes an adapter class - that will provide this functionality. (Thanks John!) -

3.7.11.2.  - Can I see what SQL statement Castor issues to the database as a result - of an operation? -

- Yes, you can. By default, Castor uses JDBC proxy classes (wrapping - java.sql.Connection and - java.sql.PreparedStatement) that capture the - core SQL statements as generated by Castor and the user-supplied - parameters at execution timeof the various persistence operations, - and outputs them to the standard logger used by Castor. - By default, these output statements are not visible, - as the log level is set to level 'info'. To see these SQL statements, - please increase the log level to level 'debug' in - log4j.xml. -

3.7.11.3. How can I disable the use of JDBC proxy classes?

- As of release 0.9.7, a new property -

org.exolab.castor.persist.useProxies

- has been added to castor.properties to allow - configuration of the JDBC proxy classes mentioned above. - If enabled, JDBC proxy classes will be used for logging SQL statements. - When turned off, no logging statements will be generated at all. -

3.7.12. Lazy Loading related questions

3.7.12.1.  - How do I configure the JDO mapping to use the lazy loading feature - for 1:1 relations? -

- Let us convert one of the classes from the - - JDO examples to use - lazy-loading. -

- In the example model, every Product belongs to one ProductGroup. - This is reflected in the conventional mapping as below. - Here's the mapping for Product: -

-<!--  Mapping for Product  -->
-<class name="myapp.Product"
-       identity="id">
-   <description>Product definition</description>
-   <map-to table="prod" xml="product" />
-   <field name="id" type="integer">
-       <sql name="id" type="integer" />
-       <xml name="id" node="attribute"/>
-   </field>
- 
-   <!-- more fields ... -->
-
-    <!--  Product has reference to ProductGroup,
-          many products may reference same group  -->
-    <field name="group" type="myapp.ProductGroup">
-      <sql name="group_id" />
-      <bind-xml name="group" node="element" />
-    </field>
-    
-</class>
-

- Let us now make the relationship between Product and ProductGroup use - lazy loading. The relevant field in Product can be re-written like so: -

-    <field name="group" type="myapp.ProductGroup" lazy="true">
-      <sql name="group_id" />
-      <bind-xml name="group" node="element" />
-    </field>
-           

- There have been one change only. We have placed the attribute lazy="true" in - the field element. Note that no change is required in the ProductDetail - mapping. -

3.7.12.2. Lazy loading for 1:1 relations and serialization

- Please note that Castor does not support full serialization of lazy-loaded - objects at this time. Rather than serializing just the information - required to re-build the underlying proxy implementation during - deserialization, Castor will materialize (read: load from the persistence - store) all objects before serialization. As this can lead to a lot of - database accesses, please use this feature carefully. A full working - solution will be provided with the next release. -

3.7.12.3.  - How do I configure the JDO mapping to use the lazy loading feature for - 1:m and M:N relations? -

- Let us convert one of the classes from the - JDO examples - to use lazy-loading. -

- In the example model, one Product can contain many ProductDetails. - This is reflected in the conventional mapping as below. - First, the mapping for Product: -

-<!--  Mapping for Product  -->
-<class name="myapp.Product"
-       identity="id">
-   <description>Product definition</description>
-   <map-to table="prod" xml="product" />
-   <field name="id" type="integer">
-       <sql name="id" type="integer" />
-       <xml name="id" node="attribute"/>
-   </field>
- 
-   <!-- more fields ... -->
-
-   <!-- Product has reference to ProductDetail
-            many details per product  -->
-   <field name="details" type="myapp.ProductDetail" required="true"
-           collection="vector">
-       <sql many-key="prod_id"/>
-       <xml name="detail" node="element" />
-   </field>
-</class>
-	            

-

- Now let us examine ProductDetail. Note, the relationship is mapped - bi-directionally as must be - all relationships when using Castor JDO. -

-<!--  Mapping for Product Detail -->
-<class name="myapp.ProductDetail" identity="id" depends="myapp.Product" >
-   <description>Product detail</description>
-    <map-to table="prod_detail" xml="detail" />
-   <field name="id" type="integer">
-       <sql name="id" type="integer"/>
-       <xml node="attribute"/>
-    </field>
-    <field name="product" type="myapp.Product">
-       <sql name="prod_id" />
-       <xml name="product" node="element" />
-    </field>
-   
-       <!-- more fields ... -->
-   
-</class>
-	           
-	           

-

- Let us now make the relationship between Product and ProductDetail use - lazy loading. We need only change the way that the relationship to - ProductDetail is specified in the mapping of Product. The relevant - field in Product can be re-written like so: -

-<field name="details" type="myapp.ProductDetail" required="true" lazy="true"
-            collection="collection">
-   <sql many-key="prod_id"/>
-   <xml name="detail" node="element" />
-</field>
-           
-           

-

- There have been two changes. -

  • - We have placed the attribute lazy="true" in the field element -

  • - We have changed the type of the underlying collection type to be - a java.util.Collection by changing the field - element attribute to collection="collection". -

-

- Note that no change is required in the ProductDetail mapping. -

3.7.12.4.  - I have modified my mapping to use lazy loading. Now I get the error - 'no method to set value for field: com.xyz.ClassB in class: - ClassMolder com.xyz.ClassA' or - 'org.exolab.castor.jdo.DataObjectAccessException: no method to set - value for field: com.xyz.ClassB in class: ClassMolder com.xyz.ClassA'. - What am I doing wrong? -

- To use lazy loading you must also change the persistent class that - will hold the related objects. At the very highest level, you need - to provide a set method that accepts a java.util.Collection for the - field in question. This is demonstrated by changing the - - JDO examples below. -

- In the original Product class we have the following code: -

-import java.util.Vector;
-...
-private Vector _details = new Vector();
-...
-public Vector getDetails()
-{
-   return _details;
-}
-
-
-public void addDetail( ProductDetail detail )
-{
-   _details.add( detail );
-   detail.setProduct( this );
-}
-	           

-

- Let us now make the necessary changes to set up lazy loading. - As stated above we now require a special set method for the related - ProductDetails (stored originally as a - java.util.Vector) that accepts a - java.util.Collection as an argument. This mandates - that we must also use a java.util.Collection to - hold our ProductDetails. If this is not added, you will receive the - errors above. -

-import java.util.Collection;
-...
-private Collection _details;
-...
-public Collection getDetails()
-{
-   return _details;
-}
-
-
-public void setDetails( Collection details )
-{
-   _details = details;
-}
-
-	           

-

3.7.13. Tuning for LOBs

- Castor JDO provides a property in castor.properties - for adjusting the size of the JDBC driver's buffer for reading LOBs - (BLOBs and CLOBs) from the database. The propery is named - org.exolab.castor.jdo.lobBufferSize and its default - is 5120 bytes (5k). The size of this buffer can be tuned for larger LOBs, - but is dependent upon the JDBC driver implementation being used and what - it supports. -

3.7.14. Database-specific issues

3.7.14.1. HSQL and identity key generators

- Due to a product limitation, AUTO_INCREMENT sequences in HSQL begin - with 0 rather 1, as is the case with most other RDBMS. As a result - of this, long transactions will not work for the object with the - identity 0, and a ObjectModifiedException will be thrown. -

- To avoid this issue, we recommend inserting a temp object into the - database in question, and removing thereafter so that no object with - identity 0 is stored. -

3.7.15. Changing database configurations

- Some applications need to change the database connection or switch - between different mapping files on the fly. Because Castor caches - database configurations per name, you would have to register a new - JDO configuration using a distinct name for any of the different - configurations. -

- Instead you can call - org.exolab.castor.jdo.engine.DatabaseRegistry.clear() - to reset the database registry before registering the new configuration as - follows: -

-// Reset database registry
-org.exolab.castor.jdo.engine.DatabaseRegistry.clear();
-		
-

3.8. Castor JDO code samples

Authors

Werner Guttmann - () -

3.8.1. Introduction

- This document provides object mapping examples and the corresponding - Java objects and DDL for the database table. -

3.8.1.1. Java class files

- The following fragment shows the Java class declaration for the - Product class: -

-package myapp;
-
-public class Product {
-
-    private int       _id;
-
-    private String    _name;
-
-    private float     _price;
-
-    private ProductGroup _group;
-
-
-    public int getId() { ... }
-
-    public void setId( int anId ) { ... }
-
-    public String getName() { ... }
-
-    public void setName( String aName ) { ... }
-
-    public float getPrice() { ... }
-
-    public void setPrice( float aPrice ) { ... }
-
-    public ProductGroup getProductGroup() { ... }
-
-    public void setProductGroup( ProductGroup aProductGroup ) { ... }
-}

- The following fragment shows the Java class declaration for the - ProductGroup class: -

-public class ProductGroup {
-
-    private int       _id;
-
-    private String    _name;
-
-    public int getId() { ... }
-
-    public void setId( int id ) { ... }
-
-    public String getName() { ... }
-
-    public void setName( String name ) { ... }
-
-}

3.8.1.2. DDL

- The following sections show the DDL for the relational database - tables PROD, - PROD_GROUP, - and PROD_DETAIL: -

- PROD: -

-create table prod (
-  id        int           not null,
-  name      varchar(200)  not null,
-  price     numeric(18,2) not null,
-  group_id  int           not null
-);

- PROD_GROUP: -

-create table prod_group (
-  id        int           not null,
-  name      varchar(200)  not null
-);

- PROD_DETAIL: -

-create table prod_detail (
-  id        int           not null,
-  prod_id   int           not null,
-  name      varchar(200)  not null
-);

3.8.1.3. Object Mappings

- The following code fragment shows the object mapping for the - ProductGroup class: -

-<?xml version="1.0"?>
-<!DOCTYPE mapping PUBLIC "-//EXOLAB/Castor Object Mapping DTD Version 1.0//EN"
-                         "http://castor.org/mapping.dtd">
-<mapping>
-
-  <class name="myapp.ProductGroup" identity="id">
-
-    <description>Product group</description>
-
-    <map-to table="prod_group" xml="group" />
-
-    <field name="id" type="integer" >
-      <sql name="id" type="integer"/>
-    </field>
-
-    <field name="name" type="string">
-      <sql name="name" type="char" />
-    </field>
-
-  </class>
-
-</mapping>

- As a result of that declaration, Castor JDO will create the following - SQL statements for creating, deleting, loading and updating instances - of ProductGroup: -

-create: INSERT INTO prod_group (id, name) VALUES (?,?)
-delete: DELETE FROM prod_group WHERE id=?
-load:   SELECT prod_group.id, prod_group.name FROM prod_group WHERE prod_group.id=?;
-update: UPDATE prod_group SET name=? WHERE id=?
-       
3.8.1.3.1. Read-only fields

- To declare the name field - read-only, the field definition - above for the field name needs - to be changed to: -

-  <class name="myapp.ProductGroup" identity="id">
-
-    ...
-    <field name="name" type="string">
-      <sql name="name" type="char" read-only="true" />
-    </field>
-
-  </class>

- As a result of that declaration, Castor JDO creates the following - SQL statements for creating, deleting, loading and updating - instances of ProductGroup: -

-create: INSERT INTO prod_group (id) VALUES (?)
-delete: DELETE FROM prod_group WHERE id=?
-load:   SELECT prod_group.id, prod_group.name FROM prod_group WHERE prod_group.id=?;
-update: /* no statement will be generated */
-          
3.8.1.3.2. Transient fields

- To declare the name field - transient with regards to - persistence, above field definition for the field - name needs to be changed to: -

-  <class name="myapp.ProductGroup" identity="id">
-
-    ...
-    <field name="name" type="string" >
-      <sql name="name" type="char" transient="true" />
-    </field>
-
-  </class>

3.8.1.4. Relations

3.8.1.4.1. 1:1 relation

- The following code fragment shows the mapping file for the Product - class. Apart from the simple field declarations, this includes a - simple 1:1 relation between Product and - ProductGroup, where every product instance - is associated with a ProductGroup: -

-    <class name="myapp.Product" identity="id">
-
-        <map-to table="prod" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="name" type="string">
-            <sql name="name" type="char" />
-        </field>
-
-        <field name="price" type="float">
-            <sql name="price" type="numeric" />
-        </field>
-
-        <field name="group" type="myapp.ProductGroup" >
-            <sql name="group_id" />
-        </field>
-
-        <field name="details" type="myapp.ProductDetail"
-               collection="vector">
-           <sql many-key="prod_id"/>
-        </field>
-
-        <field name="categories" type="myapp.Category" collection="vector">
-           <sql name="category_id"
-                many-table="category_prod" many-key="prod_id" />
-        </field>
-
-    </class>
3.8.1.4.2. 1:M relation

- The following code fragment shows (again) the mapping file for - the Product class. The field definition highlighted - shows how to declare a 1:M relation between Product - and ProductDetail, where every product instance is - made up of many ProductDetails: -

-    <class name="myapp.Product" identity="id">
-
-        <map-to table="prod" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="name" type="string">
-            <sql name="name" type="char" />
-        </field>
-
-        <field name="price" type="float">
-            <sql name="price" type="numeric" />
-        </field>
-
-        <field name="group" type="myapp.ProductGroup" >
-            <sql name="group_id" />
-        </field>
-
-        <field name="details" type="myapp.ProductDetail" collection="vector">
-           <sql many-key="prod_id"/>
-        </field>
-
-        <field name="categories" type="myapp.Category" collection="vector">
-           <sql name="category_id"
-                many-table="category_prod" many-key="prod_id" />
-        </field>
-    </class>

- The following code fragment shows the corresponding mapping - entry for the ProductDetail class that defines the - second leg of the 1:M relation between Product and - ProductDetail. -

-  <class name="myapp.ProductDetail" identity="id" depends="myapp.Product" >
-
-    <description>Product detail</description>
-
-    <map-to table="prod_detail" xml="detail" />
-
-    <field name="id" type="integer">
-      <sql name="id" type="integer"/>
-    </field>
-
-    <field name="name" type="string">
-      <sql name="name" type="char"/>
-    </field>
-
-    <field name="product" type="myapp.Product">
-      <sql name="prod_id" />
-    </field>
-
-  </class>
3.8.1.4.3. M:N relation

- The following code fragment shows (again) the mapping file for - the Product class. The field definition highlighted - shows how to declare a M:N relation between Product - and ProductCategory, where many products can be - mapped to many product categories: -

-    <class name="myapp.Product" identity="id">
-
-        <map-to table="prod" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="name" type="string">
-            <sql name="name" type="char" />
-        </field>
-
-        <field name="price" type="float">
-            <sql name="price" type="numeric" />
-        </field>
-
-        <field name="group" type="myapp.ProductGroup" >
-            <sql name="group_id" />
-        </field>
-
-        <field name="details" type="myapp.ProductDetail" collection="vector">
-           <sql many-key="prod_id">/>
-        </field>
-
-        <field name="categories" type="myapp.Category" collection="vector">
-           <sql name="category_id"
-                many-table="category_prod" many-key="prod_id" />
-        </field>
-
-    </class>

- The following code fragment shows the corresponding mapping - entry for the ProductCategory class that defines the - second leg of the M:N relation between Product and - Category. -

-  <class name="myapp.Category" identity="id">
-
-    <description>
-        A product category, any number of products can belong to
-        the same category, a product can belong to any number of
-        categories.
-    </description>
-
-    <map-to table="category" xml="category" />
-
-    <field name="id" type="integer">
-      <sql name="id" type="integer"/>
-    </field>
-
-    <field name="name" type="string">
-      <sql name="name" type="char"/>
-    </field>
-
-    <field name="products" type="myapp.Product" collection="vector">
-      <sql name="prod_id"
-           many-table="category_prod" many-key="category_id" />
-    </field>
-
-  </class>

3.8.1.5. Extend relation & polymorphism

- As of release 0.9.9, Castor supports polymorphic queries on extend - hierarchies. (That is, hierarchies where some entities "extend" - other entities.) To highlight this new feature, let's add two new - classes to what we have currently. -

-package myapp;
-
-public class Computer extends Product {
-
-    private int       _id;
-
-    private String    _make;
-
-    public int getId() { ... }
-
-    public void setId( int anId ) { ... }
-
-    public String getmake() { ... }
-
-    public void setMake( String aMake ) { ... }
-
-}
-
-public class Car extends Product {
-
-    private int       _id;
-
-    private Date    _registeredIn;
-
-    public int getId() { ... }
-
-    public void setId( int anId ) { ... }
-
-    public Date getRegisteredIn() { ... }
-
-    public void setRegisteredIn( Date aRegisteredIn ) { ... }
-}

- The corresponding DDL statements for the relational database tables - COMP and - CAR would look as follows: -

COMP:

-create table comp (
-  id        int           not null,
-  make      varchar(200)  not null
-);

CAR:

-create table car (
-  id        int           not null,
-  regIn     int           not null
-);

- Based upon the mapping defined for the Product - class as shown above, the following code fragment shows the mapping - for the Computer and Car classes. -

-    <class name="myapp.Computer" extends="myapp.Product" identity="id">
-
-        <map-to table="COMP" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="make" type="string">
-            <sql name="make" type="char" />
-        </field>
-
-    </class>
-
-    <class name="myapp.Car" extends="myapp.Product" identity="id">
-
-        <map-to table="CAR" />
-
-        <field name="id" type="integer">
-            <sql name="id" type="integer" />
-        </field>
-
-        <field name="registeredIn" type="date">
-            <sql name="regIn" type="long" />
-        </field>
-
-    </class>

- Based upon this mapping, it is possible to execute the following OQL - queries against this class model: -

-OQLQuery query = d.getOQLQuery("SELECT c FROM myapp.Computer c");
-        

To return all computers:

-OQLQuery query = d.getOQLQuery("SELECT c FROM myapp.Computer c WHERE c.make = $");
-        

To return all computers of a particular make:

-OQLQuery query = d.getOQLQuery("SELECT p FROM myapp.Product p");
-        

- To return all products (where Castor will return the actual object - instances, i.e. a Computer instance if the object - returned by the query is of type Computer or a - Car instance if the object returned by the query is - of type Car): -

-OQLQuery query = d.getOQLQuery("SELECT p FROM myapp.Product p WHERE p.group.name = $");
-        

- To return all products that belong to the specified product group - (where Castor will return the actual object instances, i.e. a - Computer instance if the object returned by the query - is of type Computer or a Car instance - if the object returned by the query is of type Car): -

3.8.1.6. OQL samples

- Based upon above definitions, here are a few OQL sample queries that - highlight various artifacts of the OQL support of Castor JDO. -

- To Be Written -

-

3.9. Castor JDO - How To's

- - - -

3.9.1. Introduction

- - -

- This is a collection of HOW-TOs. The Castor project is actively seeking - additional HOW-TO contributors to expand this collection. For information - on how to do that, please see 'How to author a HOW-TO'. -

-
- -

3.9.2. Documentation

- - -

3.9.2.1. How to author a HOW-TO document

- -

3.9.2.2. How to author an FAQ entry

- -

3.9.2.3. How to author a code snippet

- -

3.9.2.4. How to author core documentation

-
- - -

3.9.3. Contribution

- - -

3.9.3.1. How to setup Castor project in eclipse

3.9.3.1.1. Introduction

- Are you just interested in how Castor source looks like, want to report a bug - or enhancement request or like to contribute to the project? The first step we - suggest you to do is to setup a Castor project with eclipse IDE. As we use - eclipse to work at Castor, there is everything in place to work with eclipse. - While you are free to use other IDE's, you will need to configure things - yourself with them. -

3.9.3.1.2. Prerequisites
3.9.3.1.3. Create Project
  • - Create a New Project in eclipse from - File -> New -> Projects -

  • - Select "Checkout Projects from SVN" - in "SVN" from - "Select a wizard" window - and click Next - (this option will only come if you have installed the subclipse plugin) -

  • - Select "Create a new repository location" - and click Next -

  • - Enter the URL - "https://svn.codehaus.org/castor/castor" - and click Next -

  • - Select the folder "trunk" - from the list and click Next -

  • - In "Check Out As" - window the name of the project will be - "castor" then click - Next -

  • - At last, you can choose the workspace and click - Finish -

  • - You can see castor project in your - "Project Navigator" of eclipse -

3.9.3.1.4. Troubleshooting

- If you have trouble with Subclipse behind a proxy - server: In Windows development environment, open the file: - C:\Documents and - Settings\MyUserId\Application Data\Subversion\servers - in text editor. Near the bottom of that file is a [global] section with - http-proxy-host and http-proxy-port (user and password also) settings. - Uncommented those lines, modified them for your proxy server and go back - to the SVN Repository view in Eclipse. This should solve the problem. -

- -

3.9.3.2. How to run Castor JDO's database independend unit tests

3.9.3.2.1. Overview

At the time of this writing Castor JDO has 3 kinds of test suites:

  • Database independend plan unit tests.

  • - A JUnit based test suite that is used to test various functional areas - against different database engines to give developers/committers some - reassurance when changing the codebase. -

  • - A Junit based test suite to evaluate impact of changes on performance. -

- This document provides general information about running Castor JDO's database - independend unit tests. -

3.9.3.2.2. Prerequisites

- See: How to setup Castor - project in eclipse -

3.9.3.2.3. Execute tests in eclipse

- To execute tests in eclipse, go and right click on - cpa/src/test/java source folder and select - "Run As -> JUnit Test". -

3.9.3.2.4. References
- -

3.9.3.3. How to run Castor JDO's test suite

3.9.3.3.1. Overview

At the time of this writing Castor JDO has 3 kinds of test suites:

  • Database independend plan unit tests.

  • - A JUnit based test suite (CTF) that is used to test various functional - areas against different database engines to give developers/committers - some reassurance when changing the codebase. -

  • - A Junit based test suite (PTF) to evaluate impact of changes on performance. -

- This document provides general information about running Castor JDO's test - suite (CTF). -

3.9.3.3.2. Intended Audience

- Anyone who wants to run the CTF test suite. This document outlines - the basic steps to get people unfamiliar with this area started. -

3.9.3.3.3. Prerequisites

- Anybody wishing to run the CTF test suite should have access to the - source code of Castor. This can be obtained in one of the following ways: -

  • - Download the sources distribution from the - download page -

  • - Download the latest snapshot from SVN from - Fisheye - (see links on the bottom left corner) -

  • - Check out the latest code from SVN into your prefered developement environment. - For instructions on this task, take a look at - Subversion - access. For eclipse - How - to setup Castor project in eclipse provides a detailed description - of this task. -

3.9.3.3.4. 2 versions of CTF

- At the moment we are in the middle of replacing the old CTF with a new one. - While the old CTF still is our reference for refactorings of Castor does the - new CTF contain some tests which could not be added to the old one due to its - limitations. On the other hand are not all tests ported to the new CTF yet. -

- In the next sections we describe how to setup the environment to execute both - CTF versions. While both versions of CTF are designed to be executed against - every supported database engine, we will describe things with regard to mysql. - Having said that there are only scripts for mysql at the new CTF at the moment. - At a later step of the CTF refactoring we will add scripts for other databases - as well. In addition we intend to allow its execution with an embedded derby - database out of the box, but this have not been implemented yet. -

- For those who might be wondering about the numbering of tests, - the numbers of the old tests are just random. - The numbers of the new tests are the jira issue numbers. -

3.9.3.3.5. Steps to setup environment for old CTF

- To execute tests against mysql database you probably need access to a - mysql server. To create a database for CTF, you have to execute the following - commands on mysql consol. -

-# create database test;
-# grant all on test.* at "localhost" to "test" identified by "test";
-# use test;
-# source [path-to-script];

- If the server is not installed on your local machine (the one you execute - the tests on) you have to replace "localhost" with the - IP of the machine the tests get executed on. The script to execute can be - found in "cpactf/src/old/ddl/" - directory. For mysql it's "mysql.sql". - If you like to use a different name for the database or use - other user credential you can adjust them at - "cpactf/src/old/resources/jdo/mysql.xml". -

- As we do not include JDBC drivers for every database with Castor you also have - to add the driver you like to use to your classpath to execute the tests. - The easiest way is to copy the driver to - "lib/" directory as all jar's - contained therein are added automatically. Another option is to modify - "bin/test.sh" or "bin/test.bat" - script depended on your operating system. -

- For mysql™ we still use - "mysql-connector-java-3.1.13-bin", also for - mysql server™ of version 5. - This version has proven to be stable. While other versions of - mysql connector™ may also work, - some of them have bugs from our experience. -

- As already explained you will find JDO configurations for every supported - database in - "cpactf/src/old/resources/jdo". - The JDO configurations are named mysql.xml, - oracle.xml etc. In the same directory you will also - find main mapping file "mapping.xml" that includes all - other mappings which are located in the - "cpactf/src/old/resources/ctf/jdo/..." - directories. There is one more important file for the old tests - "cpactf/src/old/resources/tests.xml", - it is the main config file which defines which test should be executed - against which database engine. As mentioned previously not every test - works with every database engine as some missing some features or castor - does not support everything of every engine. -

3.9.3.3.6. Steps to run old CTF from commandline

- From a command line (e.g a shell), please execute the following commands - to run the whole test suite against mysql (where - <castor-root> points to the directory - where you installed the Castor sources: -

-cd <castor-root>/bin
-build clean
-build tests
-test castor.mysql

- To execute just one of the many tests of the complete test suite, - please change this to: -

-cd <castor-root>/bin
-build clean
-build tests
-test castor.mysql.TC30
[Note]Note

- You have to execute "build clean" and - "build tests" again if you have changed anything within - eclipse (e.g. a configuration file or a class). -

3.9.3.3.7. Steps to run old CTF out of eclipse

Now, let's see how we can run these old CPACTF tests through eclipse.

  • - Go to "/cpacft/src/old/java" and right click -

  • Select Run As -> Run...

  • - Select "Java Application" from the left side menu - and double click on it to create "New_configuration". -

  • Select Project -> castor

  • Enter Main class -> MainApp

  • Select Arguments Tab

  • - Enter Program Arguments for example: - "castor.mysql.TC31" or "castor.mysql" -

  • Now "Run"

3.9.3.3.8. Short description of the old CTF tests

As some features are not supported by all database engines (e.g. sequence keygenerator) or a test have not been - verified against a database, only a subset of the following tests will be executed if you run CTF.

  • TC01 Duplicate key detection tests.

  • TC02 Concurrent access tests.

  • TC03 Read only tests.

  • TC04 Deadlock detection tests.

  • TC05 Update rollback tests.

  • TC06 Race tests.

  • TC07 Cache leakage tests.

  • TC08 Cache expiry measure.

  • TC09 TxSynchronizable interceptor tests.

  • TC10 Type handling tests.

  • TC11 Type handling of LOB tests.

  • TC12 Type Conversion tests.

  • TC13 Serializable object tests.

  • TC14 Rollback primitive tests.

  • TC15 Multiple columns primary keys tests.

  • TC15a Multiple columns primary keys only tests.

  • TC16 Nested fields tests.

  • TC17 Timestamp tests.

  • TC18 Persistence interface tests.

  • TC19 InstanceFactory interface tests.

  • TC20 Key generators: MAX, HIGH-LOW.

  • TC23 Key generator: IDENTITY.

  • TC24 Key generator: UUID.

  • TC25 Dependent objects tests.

  • TC26 Dependent objects tests.

  • TC27 Dependent update objects tests.

  • TC28 Dependent update objects tests.

  • TC30 OQL-supported syntax.

  • TC31 OQL queries for extends.

  • TC32 Test limit clause.

  • TC33 Test limit clause with offset.

  • TC34 Test limit clause with offset at extended object.

  • TC36 SizeOracle.

  • TC37 Absolute.

  • TC38 CALL SQL with parameters.

  • TC38a Named query support.

  • TC70 Collections.

  • TC71 Test special collections.

  • TC72 Test sorted collections.

  • TC73 ManyToMany.

  • TC74 ManyToManyKeyGen.

  • TC75 Expire Many-To-Many.

  • TC76 Cached OID with db-locked.

  • TC77 Query garbage collected.

  • TC78 JDBC connection.

  • TC79 Test the use of Database.isLocked().

  • TC79a Test auto-store attribute.

  • TC79aa Test auto-store attribute for 1:M relations.

  • TC79b Test the use of Database.isPersistent().

  • TC80 self-referential relation test with extend hierarchies.

  • TC81 Dependent relation test.

  • TC82 Dependent relation test (using no key generators).

  • TC83 Identity definition through identity attribute in field mapping. -

  • TC84 Transient attribute.

  • TC85 TestEnum.

  • TC87 TestLazy1to1.

  • TC88 Lazy Loading.

  • TC89 Expire Lazy Employee.

  • TC93 Polymorphism Degenerated tests.

  • TC94 Polymorphism tests.

  • TC95 Polymorphism tests with key generator.

  • TC96 Polymorphism tests for depend relations.

  • TC97 Polymorphism tests.

  • TC98 Polymorphism tests in a threaded environment.

  • TC99 Polymorphism tests (many 2 many).

  • TC200 Self-referential relation tests.

  • TC201 Self-referential relation tests with extend hierarchy. -

  • TC202 ForeignKeyFirst tests.

  • TC203 Timezone tests.

3.9.3.3.9. Steps to setup environment for new CTF

- To execute tests against mysql database you probably need access to a - mysql server. To create a database for CTF, you have to execute the - following commands on mysql console. -

-# create database cpactf;
-# grant all on cpactf.* at "localhost" to "test" identified by "test";
-# use cpactf;
-# source <path-to-script>;

- If the server is not installed on your local maschine (the one you execute the - tests on) you have to replace "localhost" with the IP - of the maschine the tests get executed on. For mysql execute every - "mysql.sql" script found in subdirectories of - "cpactf/src/test/ddl/" directory. - If you like to use a different name for the database or use other user - credential you can adjust them at - "cpactf/src/test/resources/cpactf-conf.xml". -

- As we do not include JDBC drivers for every database with Castor you also have - to add the driver you like to use to your classpath to execute the tests. - The easiest way is to copy the driver to - "lib/" directory as all jar's - contained therein are added automatically. Another option is to modify - "bin/test.sh" or "bin/test.bat" - script depended on your operating system. -

- For mysql we still use "mysql-connector-java-3.1.13-bin", - also for mysql server™ of version 5. This version - has proven to be stable. While other versions of - mysql connector™ may also work, - some of them have bugs from our experience. -

3.9.3.3.10. Steps to run new CTF out of eclipse

- Execution of the new test suite from within eclipse against - mysql™ is very simple. -

  • Select "cpactf/src/test/java" and right click

  • - Select "Run as" -> "JUnit tests" -

- In in the configuration file "cpactf-conf.xml" mysql is configuerd as default - database. To execute tests against another database engine or to force - execution of tests that have been excluded you can pass VM parameter to the - test framework. VM Arguments can also be specified in eclipse. -

  • - Select "Run as" -> "Run.." - from main menu -

  • Select Arguments Tab

  • - Enter VM Arguments for example: - "-Dname=value" -

  • Now "Run"

The following VM parameters are supported by CTF.

config

Path to an alternate configuration file.

database

Name of the database configuration.

transaction

Name of the transaction manager configuration.

force

Force execution of excluded tests (true/false).

3.9.3.3.11. Troubleshooting

- For those who face the following problem in eclipse - while executing the tests -

-#An unexpected error has been detected by HotSpot Virtual Machine:
-#
-#EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x7c918fea, pid=2460, tid=3712
-#
-#Java VM: Java HotSpot(TM) Client VM (1.5.0-b64 mixed mode)
-#Problematic frame:
-#C [ntdll.dll+0x18fea]
-#
-#An error report file with more information is saved as hs_err_pid2460.log
-#
-#            If you would like to submit a bug report, please visit:
-#              http://java.sun.com/webapps/bugreport/crash.jsp
-#

- It is a problem with memory configured for eclipse. It can be changed in - eclipse.ini file which can be found in installation - directory of Eclipse. By default it is -Xmx256m, - just increase it and problem go away. -

- -

3.9.3.4. How to run Castor JDO's performance tests

3.9.3.4.1. Overview

At the time of this writing Castor JDO has 3 kinds of test suites:

  • Database independend plan unit tests.

  • - A JUnit based test suite that is used to test various functional areas - against different database engines to give developers/committers some - reassurance when changing the codebase. -

  • - A Junit based test suite to evaluate impact of changes on performance. -

This document provides general information about running Castor JDO's performance tests.

3.9.3.4.2. Prerequisites

- See: How - to setup Castor project in eclipse -

3.9.3.4.3. Steps to setup environment for old CTF

- To execute performance tests against mysql database you probably need access - to a mysql server. To create a database for PTF, you have to execute the - following commands on mysql console. -

-# create database cpaptf;
-# grant all on cpaptf.* at "localhost" to "test" identified by "test";
-# use cpaptf;
-# source [path-to-script];

- If the server is not installed on your local machine (the one you execute - the tests on) you have to replace "localhost" with the IP - of the machine the tests get executed on. The script to execute is - "cpaptf/src/test/ddl/mysql.sql". -

- As we do not include JDBC drivers for every database with Castor you also have - to add the driver you like to use to your classpath to execute the tests. - The easiest way is to copy the driver to - "lib/" directory as all jar's - contained therein are added automatically. -

- For mysql we still use "mysql-connector-java-3.1.13-bin", - also for mysql server™ of version 5. - This version has proven to be stable. While other versions of - mysql connector™ may also work, - some of them have bugs from our experience. -

3.9.3.4.4. Steps to execute performance tests in eclipse

- Execution of the performance test suite from within eclipse is very simple. -

  • - Select "cpaptf/src/test/java" - -> "org.castor.cpaptf" - -> "TestAll.java" and right click -

  • - Select "Run As" -> "JUnit Test" -

- By default the test uses 2000 service objects that get created, loaded with - various configurations and deleted afterwards. Obviously this will take quite - some time. Please be patient for normal termination of the tests as you will - need to clean test tables by hand otherwise. To execute tests with a different - number of objects you can adjust "FACTOR" constant in - "TestCreate.java". For example, if you set - "Factor" to 1.0 the tests will be executed with 10000 - service objects. When using more test objects be aware that you may need to - increase heap size of the virtual machine for the test to finish. -

- By default you won't see any output of results on the console as logging level - of log4j is set to "warn" by default. But if you change log level of - "org.castor.cpaptf" package to "info" - you will see detailed execution times for every test on the console. - Be aware that there are quite some log4j.xml - configurations in the whole Castor project at the moment of which the one - first one on classpath will be used. -

- If you like to review some older test results you will find them under - "cpaptf/src/site/resources/results/" - but they depend heavy on the machine you are running the tests on. -

3.9.3.4.5. References
- -

3.9.3.5. Submitting a bug report

3.9.3.5.1. Submitting a problem report
3.9.3.5.1.1. Driver

- Most of the traffic on the Castor Users mailing list is about people - asking for help on various features of Castor (whether JDO or XML). - Whilst there is nothing wrong about asking questions and looking for - help if you are stuck, it seems that there is room to improve the - structure of this 'conversation'. -

- If you have a look at some of these threads (e.g. at the - searchable - mailing list archive), it's quite easy to see that most - of the time ... -

  1. An initial question is posted.

  2. - An initial reply is posted with some follow-up questions, - e.g. request for code fragments, mapping files, etc. -

  3. - One or more code fragments, mapping files, etc. are being posted. -

  4. etc.

- This document will establish guidelines with regards to step 3) above. -

3.9.3.5.1.2. Introduction

- This document provides step-by-step instructions on how to submit a - problem report (when being asked to do so). It does so by walking you - through a fictive problem and its resulting bug report, and providing - instructions based upon this scenario. -

- Per definition, any problem report submitted (in other words, most - likely attached to a bug report at - http://jira.codehaus.org/browse/CASTOR) - by the means of a patch has to include the following artefacts: -

  • A JUnit test case that 'showcases' your problem.

  • Castor JDO configuration file.

  • Castor JDO mapping file.

  • - One or more 'entity' classes required to run your test case. -

  • - A SQL schema file (to help in the creation of required tables). -

  • - A README file (with any additional - information/instructions required to understand /run your test case. -

[Note]Note

- Whilst we can and will not impose these guidelines in their strictest - sense, I think that the use of technologies such as JUnit will simplify problem - resolution and as a result lead to shorter turn-around times. Which is ultimately where - you, the user, gains.. -

3.9.3.5.1.3. Templates

- To facilitate creation of a fully featured patch as discussed above, - we have provided you with an already existing bug template at - 'src/bugs/jdo/template'. -

[Note]Note

- Please note that this directory is distributed only as part of the - source archive(s). -

- This directory holds all artefacts mentioned above, as is structured - as follows: -

Table 3.7. bug template artefacts

srcSource code
src/bugsCommon root for bug reports
- src/bugs/jdo - Common root for JDO bug reports
- src/bugs/jdo/template - Patch template
- src/bugs/jdo/template/TestTemplate.java - JUnit test case.
- src/bugs/jdo/template/EntityOne.java - Entity required by the test case
- src/bugs/jdo/template/jdo-conf.xml - Castor JDO configuration
- src/bugs/jdo/template/mapping.xml - Castor mapping file
- src/bugs/jdo/template/create.sql - SQL schema to create database table(s)
src/bugs/jdo/template/READMETest instructions

- To create you own bug report, please copy - 'template' - to e.g. bug1820, - assuming that 1820 is the number assigned to your BugZilla - problem report). Subsequently, please amend the files provided to - match your own requirements. After you have consolidated your changes, - the original directory structure in - src/bugs could look as follows: -

Table 3.8.  - directory structure of - src/bugs -

- src - Source code
- src/bugs - Common root for bug reports
- src/bugs/jdo - Common root for JDO bug reports
- src/bugs/jdo/template - Patch template
- src/bugs/jdo/template/TestTemplate.java - JUnit test case.
- src/bugs/jdo/template/EntityOne.java - Entity required by the test case
- src/bugs/jdo/template/jdo-conf.xml - Castor JDO configuration
- src/bugs/jdo/template/mapping.xml - Castor mapping file
- src/bugs/jdo/template/create.sql - SQL schema to create database table(s)
- src/bugs/jdo/template/README - Test instructions
- src/bugs/jdo/bug1820 - Your specific bug (as per BugZilla bug number)
- src/bugs/jdo/bug1820/TestCase.java - JUnit test case.
- src/bugs/jdo/bug1820/Entity1.java - Entity required
- src/bugs/jdo/bug1820/Entity2.java - Entity required
- src/bugs/jdo/bug1820/jdo-conf.xml - Castor JDO configuration
- src/bugs/jdo/bug1820/mapping.xml - Castor mapping file
- src/bugs/jdo/bug1820/schema.sql - SQL schema to create database table(s)
- src/bugs/jdo/bug1820/README - Test instructions

3.9.3.5.1.4. Add your test case to the master test suite

- Once you have successfully executed your JUnit test case, please add - this test to the master test suite available in - src/bugs/AllTests.java as follows. To add - a test to this suite, please duplicate the line -

-			
-    suite.addTestSuite(template.TestTemplate.class);
-			

- and replace the term - 'jdo.template.TestTemplate.class' with - 'jdo.bug1820.TestCase'. -

- This will allow us to run all tests related to all open bugs in one go by executing - just this test suite. -

3.9.3.5.1.5. Creating the patch

- As explained in - - Guidelines For Code Contribution, we ask you to submit your code - changes in the form of a unified patch by attaching it to the relevant - bug report. -

- To create a unified patch for - submission, you can either use the command line SVN client - (which you find instructions to download for at - http://subversion.tigris.org/ - or any IDE that offers support or SVN - (such as Eclipse with Subclipse plugin) -

- In any case, please note that we are trying to standardize on the use - of unified patches only, and that - you should always update your code - (against the SVN repository) before creating the patch. - If you have never used SVN before, there will be ways to - convince us to accept e.g. a Zip file includig your changes. -

3.9.3.5.1.6. References

- Whilst we cannot assume that every Castor (JDO) user is an expert in - the use of JUnit, we do believe that they are quite easy to get - acquainted with. As a starting point, please find below some - references: -

  • - JUnit - A well-known - framework for writing integration-level and functional tests. -

  • - SVN Home - - many usefulSVN related items -

- -

3.9.3.6. How to prepare a patch

3.9.3.6.1. Overview

- A "patch" is the set of differences between two versions of the same file. - Patches are used to send someone the exact changes that you have made to - your version of a program or a document. They can then apply that patch - to their version to merge the changes and bring their version up-to-date - with your version. -

- As our example we use the contribution of a simple documentation patch for - the Castor project. The principles apply to any project and to any type of - file, e.g. *.xml, - *.java, - *.xsd, etc. -

3.9.3.6.2. Intended Audience

- Anyone who wants to contribute to a project. This document addresses the - basics, so as to get new people started. -

- Our example describes the use of command-line tools for a UNIX system. - Other tools can be used, as long as they produce a - "unified diff". -

3.9.3.6.3. Prerequisites

Contributers should have:

  • - The source code of the documents as a local working copy of the - SVN repository. If you are working with the current SVN HEAD then - you will have already done a - 'svn checkout castor'. However, see below for - other ways of obtaining source for diff comparison. -

  • - The tools with which to prepare a patch. On UNIX the "svn" program - has the svn diff command. -

3.9.3.6.4. Steps

Here is how to proceed.

3.9.3.6.4.1. Understand what a patch is

- A "Patch" is the set of differences between two versions of the same - file. A patch comprises one or more "diff" files. These diffs are - produced by the program of the same name: diff. -

- Here is an example of a single diff for one of the Castor How-to - pages, where we are suggesting a minor text change. Do not get - frightened. These are just human-readable instructions to the "patch" - program. -

-            
-Index: contrib.xml
-===================================================================
-RCS file: /home/projects/castor/src/doc/jdo-howto.xml,v
-retrieving revision 1.7
-diff -u -r1.7 contrib.xml
---- jdo-howto.xml 30 Apr 2002 07:44:52 -0000      1.7
-+++ jdo-howto.xml 26 May 2002 04:08:23 -0000
-@@ -208,7 +208,7 @@
-    to create a patch. (The commands are for Linux.)
-   </p>
-
-- <s2 title="How to Establish your Local Repository">
-+ <s2 title="How to Establish your Local Working Copy">
-
-   <p>
-    This will checkout the current copy of the master cvs repository and
-            

- That is a "unified diff" ... there a some lines of context on each - side of the changes. This patch is basically saying "Change the text - on line 208". -

  • lines to be deleted are preceded with -

  • lines to be added are preceded with +

  • contextual lines with no leader remain the same

3.9.3.6.4.2. Modify your document and ensure consistency

- Let us now go though the process of preparing that patch. Go ahead - and edit your local copy of the document at - $CASTOR_HOME/src/doc/jdo-howto.xml. -

- Ensure that it is valid XML using your favourite XML editor or an - external validating parser. Please do not leave it up to the poor - committer to fix broken XML. -

- Run the 'build doc' target to be sure that links - are not broken and that the new document is presented as you intend - it to be. -

3.9.3.6.4.3. Get ready

- If you are using the HEAD of SVN then ensure that your working copy - is up-to-date. Of course, if you are using a previous public release - version of Castor, then it is already up-to-date. -

3.9.3.6.4.4. Generate the differences

- Prepare the diff file. SVN will contact the remote repository, ensure - that your working copy is up-to-date, then compare your local copy - with the master repository. -

-            
-    cd src/doc
-    svn diff jdo-howto.xml > $TEMP/castor/patch/jdo-howto.xml.diff
-            
3.9.3.6.4.5. Describe the patch

- Prepare a brief explanation of what your patch does. Get this ready - in a text file before you go to Jira. See further hints about this - in the "Description" section of the How-to Jira. -

- What revision of SVN did you patch against? Was it HEAD branch? Was - it a nightly build? Was it a public release? -

3.9.3.6.4.6. Submit via Jira

- To contribute your patch to a specific project, use Jira - The Codehaus - Issue Database. The procedure is explained in How to Contribute a - Patch via Jira. -

3.9.3.6.5. Real World Extension
3.9.3.6.5.1. Multiple diffs in a single patch

- A patchfile can contain the differences to various individual - documents. For example, the following command does that ... -

-            
-    cd src
-    svn diff > $WORK/castor/patch/src.dir.diff
-            

- However, be careful not to go overboard with this technique. When - producing multiple diffs in one patchfile, try to limit it to one - particular topic, i.e when fixing the same broken external link in - various pages, then it would be fine to produce a single diff. - Consider the committer - they will find it hard to apply your patch - if it also attempts to fix other things. -

3.9.3.6.5.2. Other ways of obtaining source for diff comparison

- Ideally you will prepare your patches against a SVN repository. - There are other ways to do this. They do create more work for the - committers, however it may be the only way that you can do it. - We would certainly rather receive your patch however it comes. - As a matter of fact, we would politely ask you first to send us a - unified patch. -

- You could get the source document via the web interface to SVN. - Here are the steps ... -

  • get the relevant XML file via FishEye

  • - save the file to your local disk: - ./jdo-howto.xml.orig -

  • - create a copy of the file: ./jdo-howto.xml -

  • make your modifications and validate the XML

  • - use the "diff" command - (i.e. not 'cvs diff') as follows -

  • - diff -u jdo-howto.xml.orig jdo-howto.xml > - $WORK/castor/patch/jdo-howto.xml.diff -

  • proceed as for Step 5.

3.9.3.6.6. Tips
  • - Please review your diffs before you submit your patch to JIRA -

3.9.3.6.7. References
  • - The UNIX manual pages 'man diff' and - 'man patch'. -

  • - SVN Home - - many useful SVN related items -

- -

3.9.3.7. How to Contribute a Patch via Jira

-
- - -

3.9.4. OQL

- - -

3.9.4.1. How to use a LIMIT clause with OQL

3.9.4.1.1. Overview

3.9.4.1.2. Intended Audience

- Anyone who wants to execute an OQL statement and limit the result size. -

- The example given describes the addition of LIMIT/OFFEST clauses to an - existing OQL statement. -

3.9.4.1.3. Prerequisites

- You should have a valid class mapping for two Java classes - Product and ProductGroup, - similar to the following one: -

-        
-package myapp;
-
-public class Product 
-{
-    private int       _id;
-
-    private String    _name; 
-
-    private float     _price; 
-
-    private ProductGroup _group;
-
-
-    public int getId() { ... }
-    public void setId( int anId ) { ... }
-
-    public String getName() { ... }
-    public void setName( String aName ) { ... }
-
-    public float getPrice() { ... }
-    public void setPrice( float aPrice ) { ... }
-
-    public ProductGroup getProductGroup() { ... }
-    public void setProductGroup( ProductGroup aProductGroup ) { ... }
-}
-        

- The following fragment shows the Java class declaration for the - ProductGroup class: -

-
-public class ProductGroup
-{
-
-    private int       _id;
-
-    private String    _name;
-
-    public int getId() { ... }
-    public void setId( int id ) { ... }
-
-    public String getName() { ... }
-    public void setName( String name ) { ... }
-
-}
-        
3.9.4.1.4. Steps

Here is how to proceed.

3.9.4.1.4.1. Compose an OQL statement to obtain all ProductGroup instances

- The following code fragment shows an OQL query to select the all - ProductGroup instances. -

-            
-OQLQuery query = db.getOQLQuery("select product from ProductGroup product");
-query.bind(10);
-OQLResults results = query.execute();
-            
3.9.4.1.4.2. Add LIMIT clause to OQL statement

- The following code fragment shows the same OQL query as above, to - this time the LIMIT keyword is added to select the first 10 - instances only. -

-            
-    OQLQuery query = db.getOQLQuery(
-            "select product from ProductGroup product LIMIT $1");
-    query.bind(10);
-    OQLResults results = query.execute();
-            
3.9.4.1.4.3. Add OFFSET clause to OQL statement

- Below is the same OQL query again, restricting the number of - ProductGroup instances returned to 10, though - this time it is specified that the ProductGroup - instances 101 to 110 should be returned. -

-            
-OQLQuery query = db.getOQLQuery(
-        "select product from ProductGroup as product LIMIT $1 OFFSET $2");
-query.bind(10);
-query.bind(100);
-OQLResults results = query.execute();
-            
3.9.4.1.5. Limitations

The following RDBMS fully/partially support LIMIT/OFFSET clauses.

Table 3.9. Support for LIMIT in RDBMS

RDBMSLIMITOFFSET
postgreSQLYesYes
mySQLYesYes
Oracle 1) 2)YesYes
HSQLYesYes
MS SQLYes-
DB2Yes-

- 1) Caster has full support for LIMIT/OFFSET clauses for Oracle - Releases 8.1.6 and later. -

- 2) For the LIMIT/OFFSET clauses to work properly the OQL query is required - to include an ORDER BY clause. -

3.9.4.1.6. Tips
  • - In the case a RDBMS does not support LIMIT/OFFSET clauses, a - SyntaxNotSupportedException will be thrown. -

3.9.4.1.7. References
-
- -

3.9.5. Core features

- - -

3.9.5.1. How to use a (performance) cache with Castor

3.9.5.1.1. Intended Audience

- Anyone who wants to enable caching for classes already mapped with - Castor JDO. -

- This document addresses the basics to get people familiar with the basic - concepts and discusses some implementation details. -

- The example given describes the addition of a - <cache-type> element to an existing class mapping. -

3.9.5.1.2. Prerequisites

- You should have a valid class mapping for a Java class, similar to the - following one: -

-        
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-        
3.9.5.1.3. Steps

Here is how to proceed.

3.9.5.1.3.1. Add <cache-type> element to class mapping

- Add a <cache-type> element as shown below, specifying the cache - provider to use in the 'type' attribute. -

-            
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <cache-type type="time-limited"/>
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-            

- This, for example, defines the 'time-limited' cache provider to be - used for the com.xyz.MyOtherObject. This cache - provider applies internally a time-limited least-recently-used - algorithm for com.xyz.MyObject instances. -

3.9.5.1.4. Tips
  • - With the current release, performance caches also serve a dual - purpose as dirty checking caches for - long-transactions. - This limitation implies that the object's duration in the - performance cache determines the allowed time span of a long - transaction. This might become an issue when performance caches - of type 'count-limited' or - 'time-limited' are being used, as objects will - eventually be disposed. If an application tries to update an - object that has been disposed from the dirty checking cache, an - ObjectModifedException will be thrown. -

- -

3.9.5.2. How to map typesafe enumerations with Castor

3.9.5.2.1. Intended Audience

- Anyone who wants to persist object that refer to a typesafe enumeration. -

- This document addresses the basics and shows an example how to map an - object that has a typesafe enumeration property. -

3.9.5.2.2. Prerequisites

- Enumerations are a common method for ensuring data integrity, both in - software and in relational databases. As a platform for linking the two, - we added support for persisting class fields whose type is a Java typesafe - enumeration to Castor JDO. -

- To use this new feature your typesafe enumeration should follow the enum - pattern commonly used and provide a static - valueOf(String) method. An enum of - different kinds of computer equipment may look like: -

-        
-public class KindEnum {
-    private static final Map KINDS = new HashMap();
-
-    public static final KindEnum MOUSE = new KindEnum("Mouse");
-    public static final KindEnum KEYBOARD = new KindEnum("Keyboard");
-    public static final KindEnum COMPUTER = new KindEnum("Computer");
-    public static final KindEnum PRINTER = new KindEnum("Printer");
-    public static final KindEnum MONITOR = new KindEnum("Monitor");
-
-    private final String _kind;
-
-    private KindEnum(final String kind) {
-        _kind = kind;
-        KINDS.put(kind, this);
-    }
-
-    public static KindEnum valueOf(final String kind) {
-	    return (KindEnum) KINDS.get(kind);
-    }
-
-    public String toString() { return _kind; }
-}
-        

- At your Product class you may want to have a - property that tells you what kind of computer equipment a product is of. -

-        
-public class Product {
-    private int         _id;
-    private String      _name;
-    private KindEnum    _kind;
-    
-    public Product() { }
-    
-    public int getId() { return _id; }
-    public void setId(int id) { _id = id; }
-
-    public String getName() { return _name; }
-    public void setName(String name) { _name = name; }
-
-    public KindEnum getKind() { return _kind; }
-    public void setKind(KindEnum kind) { _kind = kind; }
-}
-        
3.9.5.2.3. Steps

- Your mapping for the Product class should be: -

-        
-<class name="Product" identity="id">
-  <description>Product with kind enum</description>
-  <map-to table="enum_prod"/>
-  <field name="id" type="integer">
-    <sql name="id" type="integer"/>
-  </field>
-  <field name="name" type="string">
-    <sql name="name" type="char"/>
-  </field>
-  <field name="kind" type="KindEnum">
-    <sql name="kind" type="char"/>
-  </field>
-</class>
-        
3.9.5.2.4. Tips
  • - To add this new feature we added an additional check when searching - for field types. Like before Castor - first searches for know types and thereafter for a mapping for - the class you specified as type. If both of them do not match it - now checks if the class specified as type is available at classpath - and has a static valueOf(String) method. - Only if all of this conditions are met it will be viewed as a - valid mapping. -

- -

3.9.5.3. How to use Castor JDO's connection proxies

3.9.5.3.1. Introduction

- Castor JDO uses the - Jakarta Common's Logging package for output - information relevant to the execution of a specific JDO operations to a - log file. The information output historically included the SQL statements - used by Castor to execute the various - persistence operations such as loading or updating domain entities. - Unfortunately, the SQL statements logged did not include any information - about the parameters being bound to the prepared statements immediately - before execution, and hence made it very hard for users of - Castor JDO to analyze these in the case of an - issue/problem. -

- To improve this situation, proxy classes for the - java.sql.Connection and - java.sql.PreparedStatement interfaces have been - added, to allow for complete and better JDBC statements to be output to - the log files. As this might impose a performance penalty at run-time, - we have allowed for this to be turned off completely through the standard - Castor property file. -

- A new property has been added to the Castor property file - (castor.properties) to allow configuration of this - feature. -

3.9.5.3.2. Intended Audience

- Anyone who wants to use the new JDBC proxy classes with - Castor JDO selectively, i.e. enabling and - disabling their use. -

- The example given describes how to turn the use of the proxy classes on/off. -

3.9.5.3.3. Prerequisites

- You should have a valid castor.properties file as - part of your application. -

3.9.5.3.4. Steps

Here is how to proceed.

3.9.5.3.4.1. Enable the use of the JDBC proxy classes

- To enable the use of the JDBC proxy classes described above, please - add the following section to your - castor.properties file. -

-            
-  # True if JDBC proxy classes should be used to enable more detailed logging output of SQL
-  # statements; false otherwise (logging of SQL statements will be turned off completely).
-  #
-  org.exolab.castor.persist.useProxy=true
-            

- This instructs Castor JDO to use the JDBC - proxy classes and to output full information about the SQL statements - used at run-time. When disabled, no logging of SQL statements will - occur at all. -

3.9.5.3.5. References
-
- - -

3.9.6. Cascading

- - -

3.9.6.1. How to use cascading operations

3.9.6.1.1. Overview

- Up to Castor 1.3.1, users of Castor JDO have been able to automatically - store/update or delete objects across relations by issuing ... -

-        
-  Database.setAutostore(true)
-        

- before going starting a transaction. This feature was useful, indeed, but - on a second look its limitation (global definition across all entities) - became obvious, especially on big projects. You might want to have - cascading operations activated selectively (activated for one object, - but not for another). Or even more tricky, you might like to automatically - track changes across one relation from a starting object, but but not - across another relation from the very same object. -

- As of Castor 1.3.2, a new - cascading attribute has been introduced - to the <sql> tag of the JDO mapping file. -

3.9.6.1.2. Intended Audience

- This and all other cascading documents address people familiar with the - basic concepts of mapping domain entities to database tables and defining - relations between objects (on database level as well as on object level). - But in particular, this document applies to the following user groups: -

  1. - Everyone who wants to cascade operations across (any type of) - object relation(s). -

  2. - Everyone who now uses - Database.setAutoStore(boolean) to have - persistence operations cascaded across relations. -

[Note]Note

- Especially the second user group should change their approach towards - using cascading operations, and switch to using the new cascading - attribute. As of Castor 1.3.2, the current - Database.setAutoStore(boolean) methods will - be deprecated, and in the long run, - this operations will be removed from the JDO interfaces. -

3.9.6.1.3. Prerequisites

- You should have a valid mapping file, containing at least two objects, - being in relation with each other. For the remainder of this document, - we'll be using the following example mapping file as a starting point. -

-        
-<mapping>
-  <class name="org.castor.cascading.Author" identity="id">
-    <cache-type type="none" />
-    <map-to table="OneToOne_Author" />
-    <field name="id" type="integer">
-      <sql name="id" type="integer" />
-    </field>
-    <field name="timestamp" type="long">
-      <sql name="time_stamp" type="numeric" />
-    </field>
-    <field name="name" type="string">
-      <sql name="name" type="char" />
-    </field>
-  </class>
-  <class name="org.castor.cascading.Book" identity="id">
-    <cache-type type="none" />
-    <map-to table="OneToOne_Book" />
-    <field name="id" type="integer">
-      <sql name="id" type="integer" />
-    </field>
-    <field name="timestamp" type="long">
-      <sql name="time_stamp" type="numeric" />
-    </field>
-    <field name="name" type="string">
-      <sql name="name" type="char" />
-    </field>
-    <field name="author" type="org.castor.cascading.Author">
-      <sql name="author_id"/>
-    </field>
-  </class>
-</mapping>
-        
3.9.6.1.4. Use of the cascading attribute

- In order to activate cascading for create operations for the - author relation defined in the mapping - file above, you have to add the following attribute to the field mapping - of the author property: -

-	  
-<class name="org.castor.cascading.one_to_one.Book" identity="id">
-   <cache-type type="none" />
-   ...
-	
-   <field name="author" type="org.castor.cascading.one_to_one.Author">
-      <sql name="author_id" cascading="create"/>
-   </field>
-</class>
-        

- Remember that the code above adding a cascading attribute with a value - of create is only an example. You can define any - combination of cascading attributes, delimiting those values by spaces, - as shown in the following example: -

-        
-<field name="author" type="org.castor.cascading.one_to_one.Author">
-   <sql name="author_id" cascading="create update"/>
-</field>
-        
3.9.6.1.5. Values for the cascading attribute

- In order to achieve an optimal granulation of activating and de-activating - functionality, there are 5 possible values, out of which 3 can be activated - separately or in any combination. -

- In general, what you have to keep in mind is that some cascading types - do not only affect the the (coincidentally) identically named database - operation, but also other persistence operations. For more details please - read the following references carefully. -

- If no cascading attribute is defined, its default value will be - none. -

3.9.6.1.6. References
- -

3.9.6.2. How to cascade creation

3.9.6.2.1. Overview

- Cascading creation allows you to transfer some of the responsibilities - of creating objects to Castor JDO. - To be more precise: if you enable cascading creation on a relation between - two classes, all objects on one end of that relation that have not yet - been created will be created when the other end gets persisted. - This saves you from manually creating every single object, which is - especially useful when dealing with large object graphs that have 1:M - (one to many) relations or many objects in a single relationship. -

3.9.6.2.2. Enabling cascading creation

- To enable cascading creation on a relation, you simply set the cascading - attribute of the <sql> field describing the - relation to "create" (or "all"): -

- In other words, the field mapping for the Java property - book ... -

-		
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" />
-</field>
-     

becomes

-        
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" cascading="create" />
-</field>
-     

- In case of bidirectional relations, it does matters on which end you - enable cascading creation. It is also possible to enable it on both ends. -

3.9.6.2.3. Scenarios
3.9.6.2.3.1. db.create()

- The most intuitive case is when you explicitly call - db.create() on an object that has cascading - creation enabled on one or more of his relations. If the objects in - those relationships have not yet been created, they will be as part - of the create() execution. -

- Here is a simple example, where the objects Author and Book are in a - one-to-one relation (i.e. every Book has exactly one Author): -

-			
-db.begin();
-
-Author author = new Author();
-author.setId(1);
-author.setName("John Jackson");
-
-Book book = new Book();
-book.setId(1);
-book.setTitle("My Life");
-book.setAuthor(author);
-
-db.create(book);
-
-db.commit();
-            

- Once the commit operation has successfully completed, both the - Author and the Book - instance will have been persisted to your data store. To highlight - this, lets's have a look at the corresponding database tables - before and after the - execution of above code fragment. -

Before

-

Table 3.10. Author

idname
(empty table)


-

-

Table 3.11. Book

idtitleauthor_id
(empty table)


-

After

-

Table 3.12. Author

idname
1"John Jackson"


-

-

Table 3.13. Book

idtitleauthor_id
1"My Life"1


-

3.9.6.2.3.2. db.commit()

- Cascading creation also works implicitly: any objects that are on the - receiving end of a cascaded relation will be created upon transaction - commit, provided they do not exist yet and that the object on the - primary end of that relation does. In other words: if you modify a - relation property of a loaded object, any new objects that now need - to be created will be created. -

- To demonstrate, let's continue the example from the previous section. - We, again, have a Book and an - Author, in a one-to-one relation, - both already persisted. If we now change the book's author to someone - new, any object that is not yet in the database will be persisted - automatically. Just call db.commit() after - setting the new author, and the new author will be persisted as well. -

-			
-db.begin();
-
-Author author = new Author();
-author.setId(2);
-author.setName("Bruce Willis");
-
-Book book = db.load(Book.class, 1);
-book.setAuthor(author);
-
-db.commit();
-        

- In terms of unit test assertions, the current state of the author and - book instances can be expressed as follows: -

-            
-db.begin();
-
-Book book = db.load(Book.class, 1);
-assertNotNull(book);
-assertEquals(1, book.getId());
-
-Author author = book.getAuthor();
-assertNotNull(author);
-assertEquals(2, book.getId());
-
-db.commit();

- As above, let's have a look at the corresponding database tables for - the entities Author and - Book: -

Before

-

Table 3.14. Author

idname
1"John Jackson"


-

-

Table 3.15. Book

idtitleauthor_id
1"My Life"1


-

After

-

Table 3.16. Author

idname
1"John Jackson"
2"Bruce Willis"


-

-

Table 3.17. Book

idtitleauthor_id
1"My Life"2


-

- Please note that we now have two authors stored, and that the book - with an id value of '1' now has a foreign key relationship to the - author with the id value '2'. -

3.9.6.2.3.3. Cascading create and collections

- The real benefit of using cascading for object creation shows when - dealing with 1:M relations, usually expressed through Java collections - in your entity classes. -

- For the remainder of this secction, we will use the Java classes - Department and Employee, - which have a 1:M relationship (in other words, every department has - one or more employees). On the Java side, this is expressed as the - Department having a collection of - Employee objects in form of a Java collection. - In the database, this will obviously be the other way around, with the - emp table referencing the - dept table. Every example in this - section will use the same database state as a starting point, as - shown here: -

Table 3.18. dept

idname
23"Accounting"

Table 3.19. emp

idnamedept_id
1"John"23
2"Paul"23
3"Ringo"23

Example 1: Adding objects

-			
-db.begin();
-
-Employee employee = new Employee();
-employee.setId(4);
-employee.setName("George");
-
-Department department = db.load(Department.class, 23);
-department.getEmployees().add(employee);
-
-db.commit();
-        

After

Table 3.20. dept

idname
23"Accounting"

Table 3.21. emp

idnamedept_id
1"John"23
2"Paul"23
3"Ringo"23
4"George"23

Example 2: Removing objects

-			
-db.begin();
-
-Department department = db.load(Department.class, 23);
-department.getEmployees().remove(2);
-
-db.commit();
-            

After

Table 3.22. dept

idname
23"Accounting"

Table 3.23. emp

idnamedept_id
1"John"23
2"Paul"23
3"Ringo"NULL

[Note]Note

- this of course only works if you allow the employee's foreign - key dept_id to be - NULL or, alternatively, also delete the Employee - when you remove the relationship (either by manually calling - db.remove() or TODO) -

- Example 3: Adding & removing - objects -

-			
-db.begin();
-
-Employee e4 = new Employee();
-e4.setId(4);
-e4.setName("George");
-
-Employee e5 = new Employee();
-e5.setId(5);
-e5.setName("Joe");
-
-Employee e6 = new Employee();
-e6.setId(6);
-e6.setName("Jack");
-
-Department dep = db.load(Department.class, 23);
-dep.setEmployees(Arrays.asList(e4, e5, e6));
-
-db.commit();
-            

Database after:

Table 3.24. dept

idname
23"Accounting"

Table 3.25. emp

idnamedept_id
1"John"NULL
2"Paul"NULL
3"Ringo"NULL
4"George"23
5"Joe"23
6"Jack"23

The note to example 2 also applies here.

- -

3.9.6.3. How to cascade deletion

3.9.6.3.1. Overview

- If you enable cascading deletion on a relationship, deleting the object - on one end of the relationship (i.e. calling db.remove() on the object) - will also delete the object on the other end. -

3.9.6.3.2. Enabling cascading deletion

- To enable cascading deletion on a relationship you simply set the cascading - attribute of the <sql> field describing the - relation to "delete" (or "all"): -

-		
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" cascading="delete" />
-</field>
-     

- In case of bidirectional relationships, be aware that it matters on which - end you enable cascading deletion. It is also possible to enable it on - both ends. -

3.9.6.3.3. Scenarios

3.9.6.3.3.1. db.remove()

- Let's say we have the objects Author and Book and they are in a - one-to-one relationship, with every Book - having exactly one Author. The database looks - like this: -

Table 3.26. Author

idname
1"John Jackson"

Table 3.27. Book

idtitleauthor_id
1"My Life"1

Now, since we specified the relationship to cascade deletion, if we remove the book, - the author gets removed too (after all, an author without a book isn't really an author).

-			
-db.begin();
-
-Book b1 = db.load(Book.class, 1);
-db.remove(db1);
-
-db.commit();
-            

Afterwards, the database predictably looks like this:

Table 3.28. Author

idname
(empty table)

Table 3.29. Book

idtitleauthor_id
(empty table)

Cascading the deletion of objects in to-many relationships works in exactly the same way.

Note: You need to explicitly invoke db.remove() to delete an object. Simply setting a relational property to NULL - or removing an item from a collection will not remove the corresponding entity from the database, even with cascading - deletion enabled.

- -

3.9.6.4. How to cascade update

3.9.6.4.1. Overview

- When working with long transactions, you can cascade the - db.update() operation, so that, for example, - updating the root of a large object graph causes all connected entities - to update as well (provided cascading update is enabled on the particular - relationships, of course). -

3.9.6.4.2. Enabling cascading update

- To enable cascading update on a relationship you simply set the cascading - attribute of the <sql> field describing the - relation to "update" (or "all"): -

-		
-<field name="book" type="myapp.Book" >
-  <sql name="book_id" cascading="update" />
-</field>
-     

- In case of bidirectional relationships, be aware that it matters on which - end you enable cascading update. It is also possible to enable it on both - ends. -

3.9.6.4.3. Scenarios

3.9.6.4.3.1. db.update()

- Let's say we have the objects Author and Book and they are in a - one-to-one relationship, with every Book - having exactly one Author. The database looks - like this: -

Table 3.30. Author

idname
1"John Jackson"

Table 3.31. Book

idtitleauthor_id
1"My Life"1

- Now let's change the book's title. Note that we never directly load - the book and that the change happens outside of any transaction: -

-			
-db.begin();
-Author a1 = db.load(Author.class, 1);
-db.commit();
-
-a1.getBook().setName("My Fantastic Life");
-
-db.begin();
-db.update(a1);
-db.commit();
-            

Afterwards, the database looks like this:

Table 3.32. Author

idname
1"John Jackson"

Table 3.33. Book

idtitleauthor_id
1"My Fantastic Life"1

3.9.6.4.4. Limitations
  • To-many relationships are currently not supported (except many-to-one).

  • As it is now, enabling cascading update will cause db.update() to also create any entities - that have not yet been persisted. (In other words: setting cascading to "update" has the same - effect as setting it to "update create", but only when invoking db.update().)

-
- - -

3.9.7. Caches

- - -

3.9.7.1. How to use Castor in a J2EE cluster

3.9.7.1.1. Introduction

- With release 0.9.9, several cache providers have been added that are - distributed caches per se or can be configured to operate in such a mode. - This effectively allows Castor JDO to be used - in a clustered J2EE (multi-JVM) environment, where - Castor JDO runs on each of the cluster - instances, and where cache state is automatically synchronized between - these instances. -

- In such an environment, Castor JDO will make - use of the underlying cache provider to replicate/distribute the content - of a specific cache between the various JDOManager instances. Through - the distribution mechanism of the cache provider, a client of a - Castor JDO instance on one JVM will see any - updates made to domain objects performed against any other JVM/JDO instance. -

3.9.7.1.2. Intended Audience

- Anyone who wants to use Castor JDO in a - J2EE cluster. -

- The example given describes the use of the Coherence - cache provider to enable distributed caching. -

3.9.7.1.3. Prerequisites

- You should have a valid class mapping for a Java class, similar to the - following one: -

-        
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-        
3.9.7.1.4. Steps

Here is how to proceed.

3.9.7.1.4.1. Add <cache-type> element to class mapping

- Add a <cache-type> element as shown below, - specifying the cache provider to use in the 'type' - attribute. -

-            
-<mapping>
-    <class name="com.xyz.MyOtherObject" identity="id">
-        <cache-type type="coherence"/>
-        <field name="id" type="integer">
-               ...
-        </field>
-        <field name="description" type="string">
-               ...
-        </field>
-    </class>
-</mapping>
-            

- This instructs Castor JDO to use the - 'coherence' cache provider for objects of type - com.xyz.MyOtherObject. It is the cache provider - that is responsible to distribute any changes to the cache state to - all other Castor JDO instances within the - same cluster. -

3.9.7.1.4.2. Add Coherence JARs to CLASSPATH

- Add the Coherence JARs to the class path of your e.g. web application - by putting the JARs into the - WEB-INF/lib folder of your - web application. -

-
- - -

3.9.8. Connection pooling

- - -

3.9.8.1. How to use Jakarta's DBCP for connection pooling

3.9.8.1.1. Introduction

- This HOW-TO provide users with instructions on hot to configure - Castor JDO so that Apache Jakarta's DBCP - package is used as a connection pool. -

3.9.8.1.2. Intended audience

- Anyone who wants to use DBCP as connection pool mechanism with - Castor JDO. -

3.9.8.1.3. Steps

- Below are defined the steps to configure - Castor JDO to use DBCP's - BasicDataSource for connection pooling. -

3.9.8.1.3.1. Configuration

- To use a DBCP BasicDataSource with - Castor JDO, please provide the following - <data-source> entry in the - jdo-conf.xml file. -

-            
-  <data-source class-name="org.apache.commons.dbcp.BasicDataSource">
-    <param name="driver-class-name" value="com.mysql.jdbc.Driver" />
-    <param name="username" value="test" />
-    <param name="password" value="test" />
-    <param name="url" value="jdbc:mysql://localhost/test" />
-    <param name="min-active" value="10" />
-    <param name="max-active" value="40" />
-  </data-source>
-            

- Above example makes use of the mySQL JDBC driver - to establish a connection pool to a mySQL - instance named 'test' running on the same machine as Castor itself. - The pool initially holds 10 connections, but is configured to allow - a maximum of 40 active connections at the same time. -

3.9.8.1.4. References
-
- - -

3.9.9. Use of Castor in J2EE applications

- - -

3.9.9.1. How to use Castor with(in) distributed J2EE transactions

3.9.9.1.1. Overview

- J2EE applications depend on the J2EE container (hosting Servlet, EJB, etc) - to configure a database connection (as well as other resource managers) - and use JNDI to look it up. This model allows the application deployer - to configure the database properties from a central place, and gives the - J2EE container the ability to manage distributed transactions across - multiple data sources. -

- This HOW-TO shows how to seamlessly use - Castor JDO in such a managed environment, - and how to make Castor participate in a - distributed transaction. -

3.9.9.1.2. Intended audience

- Anyone who wants to use Castor JDO with(in) - distributed J2EE transactions. -

3.9.9.1.3. Steps

- The following sections highlight the steps necessary to use - Castor JDO seamlessly in such a (managed) - environment, and how to make Castor participate - in a distributed transaction. -

3.9.9.1.3.1. Make Castor participate in a J2EE transaction

- The following code fragment shows how to use JNDI to lookup a database - and how to use a JTA UserTransaction instance - to manage the J2EE (aka distributed) transaction: -

-// Lookup databse in JNDI
-Context ctx = new InitialContext();
-Database db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Begin a transaction
-UserTransaction ut = (UserTransaction) ctx.lookup( "java:comp/UserTransaction" );
-ut.begin();
-// Do something
-. . .
-// Commit the transaction, close database
-ut.commit();
-db.close();
-            
3.9.9.1.3.2. Make Castor participate in container-managed J2EE transaction

- If the transaction is managed by the container, a common case with - EJB beans and in particular entity beans, there is no need to - begin/commit the transaction explicitly. Instead the application - server takes care of enlisting the database used by - Castor JDO to insert domain entities into - a database in the ongoing transaction and commiting/rolling back at - the relevant time. -

- The following code snippet relies on the container to manage the - transaction. -

-InitialContext  ctx;
-UserTransaction ut;
-Database        db;
-
-// Lookup databse in JNDI
-ctx = new InitialContext();
-db = (Database) ctx.lookup( "java:comp/env/jdo/mydb" );
-
-// Do something
-. . .
-// Close the database
-db.close();
-            

- As transaction enregistration is dealt with at the J2EE container, - it is not necessary anymore to obtain a - UserTransaction and start/commit the transaction - manually. -

3.9.9.1.3.3. Resource enlisting

- Instead of constructing required resources directly, a typical J2EE - application uses the JNDI API to look up resources from centrally - managed place such as a naming and directory service. In such an - environment, Castor JDO takes on the role - of a managed resource as well. It follows that, instead of constructing - a org.exolab.castor.jdo.JDOManager directly, - a typical J2EE application should use JNDI - to look it up. -

- We thus recommend enlisting the JDOManager - object under the java:comp/env/jdo namespace, - compatible with the convention for listing JDBC resources. -

3.9.9.1.4. Tips
  • - When using Castor JDO in a J2EE - environment, Castor allows you to - enable a special Database instance pooling support. - This option is configured via the - org.exolab.castor.jdo.JDOManager.setDatabasePooling(boolean) - method; by default, it is turned off. This option only affects - JDOManager if J2EE transactions are used - and if a transaction is associated with the thread that calls - {@link #getDatabase}. -

    - If database pooling is enabled, JDOManager - will first search in this special pool to see if there is already - a org.exolab.castor.jdo.Database instance - for the current transaction. If found, it returns this - org.exolab.castor.jdo.Database instance; - if not, it creates a new one, associates it will the transaction - and returns the newly created - org.exolab.castor.jdo.Database instance. -

    - Please make sure that you call this method before calling - {@link #getDatabase}. -

3.9.9.1.5. References
-
- - -

3.9.10. Database specifica

- - -

3.9.10.1.  - How to connect to a Apache Derby instance in network server mode -

- -
-
-
-

3.10. Castor JDO - Tips & Tricks

3.10.1. Logging and Tracing

- When developing using Castor, we recommend that you use the various - setLogWriter methods to get detailed information and error - messages. -

- Using a logger with org.exolab.castor.mapping.Mapping - will provide detailed information about mapping decisions made by Castor and - will show the SQL statements being used. -

- Using a logger with org.exolab.castor.jdo.JDO - will provide trace messages that show when Castor is loading, storing, - creating and deleting objects. All database operations will appear in - the log; if an object is retrieved from the cache or is not modified, - there will be no trace of load/store operations. -

- Using a logger with org.exolab.castor.xml.Unmarshaller - will provide trace messages that show conflicts between the XML document and - loaded objects. -

- A simple trace logger can be obtained from - org.exolab.castor.util.Logger. This logger uses the - standard output stream, but prefixes each line with a short message - that indicates who generated it. It can also print the time and date of - each message. Since logging is used for warning messages and simple - tracing, Castor does not require a sophisticated logging mechanism. -

- Interested in integratating Castor's logging with Log4J? Then see - this question - in the JDO FAQ. -

3.10.2. Access Mode

- If you are using JDO objects with the default access mode ('shared') and too many transactions - abort when attempting to commit due to locks, you should consider upgrading to an 'exclusive' - mode. When two transactions attempt to modify and store the same object at the same time, - lock issues arise. Upgrading to an 'exclusive' mode will prevent concurrent transactions - from modifying the same object at once. -

- If too many transactions abort when attempting to commit due to dirty checking, you should - consider upgrading to a 'locked' mode. When external database access modifies the same objects - being managed by Castor, Castor will complain that objects are dirty. Upgrading to a 'locked' - mode will prevent concurrent update. -

- Be advised that 'exclusive' mode introduces lock contention in the Castor persistence engine, - and 'locked' mode adds lock contention in the database. Lock contention has the effect of - slowing down the application and consuming more CPU. -

- If too many transaction abort due to deadlock detection, consider modifying the application - logic. Deadlock occurs when two transactions attempt to access the same objects but not in - the same order. -

3.10.3. Inheritence

- There are two types of inheritence: Java inheritence and relational inheritence. -

- With Java inheritence, two objects extend the same base class and map to two different - tables. The mapping file requires two different mappings for each of the objects. - For example, if Employee and Customer both - extend Person, but Employee maps to the table - emp and Person to the table - person, the mapping file should map both of these objects - separately. -

- With relation inheritence, one table provides the base information and another table - provides additional information using the same primary keys in both. Use the extends - attribute to specify such inheritence in the mapping file. For example, if Computer - extends Product and the table comp provides computer-specific columns - in addition to product columns in prod, the mapping for Computer will - specify Product as the extended class. -

- When a class just extends a generic base class or implements an interface, this form - of inheritence is not reflected in the mapping file. -

3.10.4. Views of Same Object

- It is possible to use different objects and mappings to the same tables. For example, - it is possible to define a subset of a table and load only several of the columns, - or load an object without its relations. -

- To determine the first and last names and e-mail address of an object without loading - the entire person object, create a subset class and map that class to a portion of - the table. Such a class cannot be used to create a new person, but can be used to - delete or modify the person's details. -

- Use partial views with care. If you attempt to load the same record using a full - object and a subset object, changes to one of these objects are allowed, but - changes to both will result in a conflict and roll back the transaction. - Locking will not work properly between full and subset objects. - Also note, that each of the two objects will have its own cache, so - if you update the first object and load the second, you may obtain old values. - To avoid this situation you may turn off the cache for both objects: -

-             <class ... >
-                <cache-type type="none">
-                ...
-             </class>
-         

-

3.10.5. Upgrading Locks

- When an object is loaded into memory in the default access mode ('shared'), - a read lock is acquired on that object. When the transaction commits, if there - are changes to the object a write lock will be required. There is no guarantee - that a write lock can be acquired, e.g. if another transaction attempts to - change the same object at the same time. -

- To assure concurrent access, you may upgrade the object's lock by calling the - org.exolab.castor.jdo.Database.lock(java.lang.Object) - method. This method will either acquire a write lock or return if a timeout - elapses and the lock could not be acquired. Once a lock has been acquired, - no other transaction can attempt to read the object until the current - transaction completes. -

- Object locking is recommended only if concurrent access results in conflicts - and aborted transactions. Generally locks results in lock contention which has an - effect on performance. -

3.10.6. NoClassDefFoundError

- Check your CLASSPATH, check it often, there is no reason not to! -

3.10.7. Create method

- Castor requires that classes have a public, no-argument constructor - in order to provide the ability to marshal & unmarshal objects of that type. -

- create-method is an optional attribute to the <field> - mapping element that can be used to overcome this restriction in cases where - you have an existing object model that consists of, say, singleton classes - where public, no-argument constructors must not be present by definition. -

- Assume for example that a class "A" that you want to be - able to unmarshal uses a singleton class as one of its properties. When - attempting to unmarshal class "A", you should get an - exception because the singleton property has no public no-arg constructor. - Assuming that a reference to the singleton can be obtained via a static - getInstance() method, you can add a "create method" to class - A like this: -

-         
-            public MySingleton getSingletonProperty()
-            {
-               return MySingleton.getInstance();
-            }
-      

- and in the mapping file for class A, you can define the singleton - property like this: -

-         
-            <field name="mySingletonProperty"
-                  type="com.u2d.MySingleton"
-                  create-method="getSingletonProperty">
-               <bind-xml name="my-singleton-property" node="element" />
-            </field>
-      

- This illustrates how the create-method attribute is quite a useful - mechanism for dealing with exceptional situations where you might - want to take advantage of marshaling even when some classes do not - have no-argument public constructors. -

[Note]Note

- As of this writing, the specified - create-method must exist as a method in the current class (i.e. the class - being described by the current <class> element). - In the future it may be possible to use external static factory methods. -

-

3.11. Castor JDO - Advanced features

Authors

Werner Guttmann - () -

3.11.1. Introduction

- As explained at - the introduction to Castor JDO, - Castor has support for many advanced features such as caching, depend - relations, inheritance, polymorphism, etc. The below sections detail these - features, as their understanding is required to use Castor JDO in a - performant and secure way. -

3.11.2. Caching

- All information related to caching and related concepts supported - by Castor has been consolidated into one place, and is available - here. -

3.11.3. Dependent and related relationships

- Castor distinguishes the relationship of two objects as dependent or related, - and maintains the life cycle independently for the two types of relationships. - Starting from Castor 0.9, the developer can explicitly define a dependent - relationship in the mapping file. -

- When using independent relations, related objects' life cycle is independent - of each other, meaning that they have to be created, removed and updated - (for long transaction) independently. -

- When using dependent relations, one data object class must be declared as - depends on one other data object class in - the mapping file, and such an object is called a dependent data object class. - A data object class without depends - declared in the mapping is called a master object. A master object can be - depended upon by zero or more dependent data object class. -

- As of Castor 0.9, a dependent object class can be related to other master data - object classes including extended classes, but cannot depend on more than one - master class. -

- If an object class declared as depends - on another class, it may not be created, removed or updated separately. - Attempting to create, remove or update a dependent object will result in - ObjectNotPersistcapableException. Note that Castor doesn't allow a - dependent object instance to change its master object instance during a - transaction. Each dependent object can have only one master object. - Both dependent and master objects must have identities, and may or may - not make use of key-generators. -

- Here is the DTD for declaring dependent object: - -

-<!ATTLIST class     name ID  #REQUIRED
-          extends   IDREF    #IMPLIED
-          depends   IDREF    #IMPLIED
-          identity  CDATA   #IMPLIED
-          access    ( read-only | shared | exclusive | db-locked )  "shared"
-          key-generator   IDREF #IMPLIED
-            

-

- For example, -

-<mapping>
-    <class name="com.xyz.MyDependentObject"
-        depends="com.xyz.MyObject">
-        ...
-    </class>
-</mapping>
-            

- declares the data object class - com.xyz.MyDependentObject as a dependent - upon class com.xyz.MyObject. -

3.11.4. Different cardinalities of relationship

- Castor supports different cardinalities of relationship, namely one-to-one, - one-to-many, and many-to-many. Many-to-many relationship must be related - rather than dependent, because each dependent object can have only one - master object. -

- Many-to-many requires a separate table for storing the relations between - two types of objects. Many-to-many introduces two attributes, namely - many-key and many-table that reside in the <sql> - element which is a sub-element of the <field> - element. For all many-to-many relations, a many-table must be specified. - If the column name of the primary key of the class is different from the - foreign keys columns of the class in the relation tables, then the relation - table columns can be specified using the many-key attributes. Similarly, - if the column name of the primary key of the related class is different - from the foreign key columns of the related class, then the relation table - columns can be specified using the name attribute. -

- The many-table is used to store relations in a separate table - -

-<mapping>
-    <class>
-        <field>
-            <sql many-key="#OPTIONAL" name="#OPTIONAL"
-                 many-table="#REQURIED">
-        </field>
-    </class>
-</mapping>

-

- So, for example, if the SQL table is the following, - -

Table 3.34. employee_table

idnamesalary
1482Smith, Bob$123,456
628Lee, John$43,210
1926Arnold, Pascal$24,680


- - -

Table 3.35. department_table

idnamecomment
3Accounting 
7EngineeringThe very important department. :-)


- - -

Table 3.36. employee_department

e_idd_id
........


-

- Then, the mapping for employee data object would look like this -

-<mapping>
-    <class name="com.xyz.Employee" identity="id">
-        <map-to table="employee_table"/>
-            <field name="id" type="integer">
-                <sql name="id"/>
-            </field>
-            <field>
-                <sql many-table="employee_department"
-                     many-key="e_id" name="d_id"/>
-            </field>
-            <field name="salary">
-                <sql name="salary" type="integer">
-            </field>
-    </class>
-</mapping>

3.11.5. Lazy Loading

- As of release 0.9.6, Castor has full support for lazy loading object - instances referenced as part of all relation types currently supported: -

  • 1:1 relations

  • 1:m relations

  • M:N relations.

3.11.5.1. 1:1 relations

- As of release 0.9.6, Castor supports lazy-loading of 1:1 relations. - Imagine the following class mapping: -

-<mapping>
-    <class name="com.xzy.Department">
-       ...
-       <field "employee" type="com.xyz.Employee" lazy="true" />
-       ...
-    </class>
-</mapping>
-            

- Per definition, when an instance of Department is loaded through e.g. - Database.load(), Castor will not (pre-)load the Employee instance - referenced (as such reducing the size of the initial query as well - as the size of the result set returned). Only when the Emplyoee - instance is accessed through Department.getEmployee(), Castor will load - the actual object into memory from the persistence store. -

- This means that if the Employee instance is not accessed at all, not - only will the initial query to load the Department object have had its - complexity reduced, but no performance penalty will be incurred for the - additional access to the persistence store either. -

3.11.5.2. 1:M and M:N relations

- The elements in the collection are only loaded when the application asks - for the object from the collection, using, for example, iterator.next(). - The iterator in Castor's lazy collection is optimized to return a loaded - object first. -

- In the mapping file, lazy loading is specified in the element of the - collection's <field>, for example, -

-<mapping>
-    <class name="com.xzy.Department">
-       ...
-        <field name="employee" type="com.xyz.Employee" lazy="true"
-               collection="collection"/>
-    </class>
-</mapping>

- declares that the collection of type Employee in a Department is lazy loaded. -

- If lazy loading is specified for a field of a class, Castor will set the - field with a special collection which contains only the identities of the - objects. Because of that, it requires the data object to have the method - setDepartment( Collection department) in the data object class which was - not required in previous versions. -

[Note]Note

- Please note that currently only the - java.util.Collection - type is supported. -

3.11.6. Multiple columns primary keys

- The support of multiple column primary keys (also called compound primary - keys) was another major enhancement added into Castor 0.9. - Specifying multiple column primary keys is simple and straightforward, - in the mapping file, -

-<mapping>
-    <class name="com.xyz.MyObject" identity="firstName lastName">
-        <field name="firstName" type="string">
-           <sql name="fname"/>
-        </field>
-        <field name="lastName" type="string">
-           <sql name="lname"/>
-        </field>
-           ...
-    </class>
-</mapping>

- Multiple column primary keys work with both master and dependent objects, - all cardinalities of relationship, including one-to-one, one-to-many and - many-to-many, as well as lazy loading. -

- However, multiple column primary keys should only be used to adhere to an - existing database design, not when designing a new database. In general, - it is not a good idea to use an identity or identities which can be modified - by the user, or which contain application-visible data. For example, if the - system allows the user name to be changed, using user name as identity is - highly discouraged, as this practice can require a major data migration to - a new schema to update all foreign keys to adhere to a new primary key - structure, should the user name no longer be adequate as a primary key. - It should be noted that Castor doesn't support identity change, as specified - in the ODMG 3.0 specification. So, primary keys changes are almost certainly - a large trade off between data integrity and performance. Well chosen - primary keys are usually single (not multiple) column numeric or character - fields for the reasons outlined above, as well as performance, as joining - operations are faster for single column primary keys. -

3.11.7. Callback interface for persistent operations

- For the various persistence operations as available through the - org.exolab.castor.jdo.Database interface, - Castor JDO provides a callback interface that informs the implementing - class on events taking place related to selected persistence operations. -

- Once your entity class implements the - org.exolab.castor.jdo.Persistence interface, - you'll have to provide implementations for the following methods (with - their respective semantics described next to them): -

Table 3.37. Interface methods

MethodDescription
jdoAfterCreate() - Indicates that an object has been created in persistent storage. -
jdoAfterRemove() - Indicates that an object has been removed from persistent storage. -
jdoBeforeCreate() - Indicates that an object is to be created in persistent storage. -
jdoBeforeRemove() - Indicates that an object is to be removed from persistent storage. -
jdoLoad() - Indicates that the object has been loaded from persistent storage. -
jdoPersistent(Database) - Sets the database to which this object belongs when this object - becomes persistent. -
jdoStore()Indicates that an object is to be stored in persistent storage. -
jdoTransient()Indicates the object is now transient.
jdoUpdate() - Indicates that an object has been included to the current - transaction by means of db.update() method (in other words, - at the end of a "long" transaction). -

-

3.12. Running the self-executable Castor JDO examples

Authors

Werner Guttmann - () -

- As of release 1.0M3, the Castor JDO examples have been packaged in a - new way and are available for download at the - download page. In the - following sections, we explain the steps required to unpack this new archive, - and how to execute the tests. -

3.12.1. Download the castor-$RELEASE-examples.zip archive

- In order to be able to run the new Castor JDO examples, please download - the new castor-${RELEASE}-examples.zip from the - download page and put it into - some location on your computer. -

3.12.2. Unpack the ZIP file

- To unpack the ZIP file downloaded, issue one of the following commands: -

unzip castor-1.1M2-examples.zip

or

jar xvf castor-1.1M2-examples.zip

- You can now run the examples using the directions provided in the - next section. -

3.12.3. Running the Castor JDO samples

- In the directory where you have unpacked the ZIP file you'll find a - castor-1.1M2-examples.jar. In addition, you'll find a directory named - lib where you'll find several JAR files required to - run the samples. -

To execute the samples, issue the following command:

java -jar castor-1.1M2-examples.jar

- ... et voila ! You'll see various lines of logging output flashing - by whilst the Castor JDO samples are executing against a database. -

3.12.4. What happens

- The Castor JDO sample will test persistence between a set of Java - classes (Product, ProductGroup, ProductDetail, etc.) and perform this - code against an Apache Derby instance as RDBMS. For this purpose, the - sample code will start an embedded Derby instance on the fly, create - the required tables, and then continue to execute several code - fragments using various Castor JDO artifacts (JDOManager, Database, - etc.) against this embedded database. -

- In other words, everything is self-contained and there is no need to - install a database, create a database schema, or create database tables. - Everything required for the tests is initiated and set up from within - the sample code. -

3.12.5. Hints

  • - If it is not set yet, you might have to set the - JAVA_HOME environment variable, and add the - $JAVA_HOME/bin directory to your path. -

- -
\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/jpa.html b/src/site/resources/reference-guides/1.4.0/html-single/jpa.html deleted file mode 100755 index 4d8407fdb..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/jpa.html +++ /dev/null @@ -1,1028 +0,0 @@ - - - Chapter 6. Castor JDO - Support for the JPA specification

Chapter 6. Castor JDO - Support for the JPA specification

6.1. JPA annotations - Motivation

- It has always been a goal of the Castor JDO project to - eventually fully support the JPA specification and become a - first class JPA provider that can e.g. be easily integrated - with Spring ORM. Whilst full compliance is still work - in progress, there are several small areas where sufficient - progress has been made, and where partial support - will be made available to the user community. -

- One such area is (partial) support for JPA annotations. This chapter - highlights how JPA-annotated Java classes can be used with - Castor JDO to persist such classes through the existing persistence - framework part of Castor, without little additional requirements. -

- The following sections describe ... -

  1. The prerequisites.

  2. The current limitations.

  3. The supported JPA annotations.

  4. How to use Castor JDO to persist JPA-annotated classes.

  5. How to use Castor JDO as Spring ORM provider to persist JPA-annotated classes.

6.2. Prerequisites and outline

- The following sections assume that you have a (set of) JPA-annotated - domain classes which you would like to persist using - Castor JDO. -

- As such, we explain how to enlist those classes with - Castor JDO (through the JDOClassDescriptorResolver - interface, so that Castor JDO will be able to find and work with your - JPA-annotated classes. In addition, we explain how to achieve the same - with Spring ORM and the Spring ORM provider for Castor JDO. -

- By the end of this chapter is should become obvious that - Castor JDO is well-prepared to integrate with the annotation part of the - JPA specification, although support for JPA annotations is - currently limited. -

6.3. Limitations and Basic Information

6.3.1. persistence.xml

- In Castor JPA there is no use or support for a JPA - persistence.xml configuration file for - now. All required configuration needs to be supplied by one - of the following means: -

  • Castor JDO configuration file.

  • JDOClassDescriptorResolver configuration.

  • Spring configuration file for the Spring ORM provider for Castor JDO.

6.3.2. JPA access type and the placing of JPA annotations

- Because Castor does not support direct field access, this - feature is not supported by Castor JPA. Thus all annotations have - to be defined on the getter methods of the fields. If JPA related - annotations are found on fields, Castor will throw an - exception. -

6.3.3. Primary Keys

- Primary keys made of single fields are supported by Castor as defined - in the JPA specification (through the use of the @Id annotation). If - you need to define composite primary keys, please note that that - Castor does not support relations - with composite primary keys. -

- If you still want to persist single classes with the use of - composite primary keys, none of the available JPA annotations - (@EmbeddedId or @IdClass) is supported as such. Instead Castor - uses a kind of ad-hoc IdClass mechanism. Simply - define multiple @Id annotations on the fields that make up your - composite primary key, and Castor JDO will internally create the - relevant constructs. -

6.3.4. Inheritance, mapped superclasses, etc.

- These JPA annotations are currently not - supported by Castor JDO. For now, you can only define entities. -

6.3.5. Relations

- Besides the fact, that Castor does not support composite primary keys - in relations, there are some limitations on the different kinds of - relations between entities. For detailed information, please read the - documentation about the different relations types further below. -

6.4. An outline of JPA-Annotations

-

S ... Supported
PS ... Partially Supported
NS ... Not Supported

-

Table 6.1. JPA-Annotations

AnnotationSupportedComment
AssociationOverride - NS -  
AssociationOverrides - NS -  
AttributeOverride - NS -  
AttributeOverrides - NS -  
Basic - S - See information on Castor fetch types!
Column - PS - Supported: column name, nullable
ColumnResult - NS -  
DiscriminatorColumn - NS - Castor does not support Joined Table Class Hierachy. -
DiscriminatorValue - NS - Castor does not support Joined Table Class Hierachy. -
Embeddable - NS -  
Embedded - NS -  
EmbeddedId - NS - Castor does not support composed primary keys embedded - in classes of their own.
Entity - S - This annotation is needed to tell Castor that this Class - is an entity.
EntityListeners - S -  
EntityResult - NS -  
Enumerated - S -  
ExcludeDefaultListeners - S -  
ExcludeSuperclassListeners - S -  
FieldResult - NS -  
GeneratedValue - NS -  
Id - S - Use this annotation to make a field a primary key (or - part of it).
IdClass - NS - Castor creates IdClass-like behaviour implicity when - you define multiple Id fields. Castor does not support composed - primary keys in relations!
Inheritance - NS -  
JoinColumn - PS - Supported: name
JoinColumns - NS - This is not supported because Castor does not support - composed keys in relations.
JoinTable - PS - Supported: name, joincolumns, inverseJoincolumns -
Lob - S -  
ManyToMany - PS - this is not tested properly yet.
ManyToOne - PS - Supported: targetEntity, fetch, optional, cascade - - Relations MUST BE optional! Required relations are not supported. -
MapKey - NS -  
MappedSuperclass - NS -  
NamedQuery - S - This annotation is used to specify a named query in OQL.
NamedQueries - S - This annotation specifies an array of named queries
NamedNativeQuery - S - This annotation is used to specify a native SQL named query.
NamedNativeQueries - S - This annotation specifies an array of named native queries.
OneToMany - PS - Supported: targetEntity, fetch, mappedBy, cascade
OneToOne - PS - Supported: targetEntity, fetch, optional, cascade - - Relations MUST BE optional! Required relations are not supported. -
OrderBy - NS -  
PersistenceContext - NS -  
PersistenceContexts - NS -  
PersistenceProperty - NS -  
PersistenceUnit - NS -  
PersistenceUnits - NS -  
PostLoad - S -  
PostPersist - S -  
PostRemove - S -  
PostUpdate - S -  
PrePersist - S -  
PreRemove - S -  
PreUpdate - S -  
PrimaryKeyJoinColumn - NS -  
PrimaryKeyJoinColumns - NS -  
QueryHint - NS -  
SecondaryTable - NS -  
SecondaryTables - NS -  
SequenceGenerator - NS -  
SqlResultSetMapping - NS -  
SqlResultSetMappings - NS -  
Table - PS - Supported: name
TableGenerator - NS -  
Temporal - S -  
Transient - S -  
UniqueConstraint - NS -  
Version - NS -  

6.5. Usage of JPA annotations - Configuration

- This selection of HOW-TOs will show you how to persist - JPA-annotated classes with Castor JDO, and will outline - the required steps for each of the following cases: -

  • Singular (stand-alone) entities

  • 1:1 relations

  • 1:M relations

  • M:N relations

6.5.1. HOW-TO persist a single class (@Entity, @Table, @Id)

- The goal is to take an existing JPA-annotated class - Single and persist it with - Castor JDO. Let's first have a look at the domain class - itself, first without JPA annotattions. -

-public class Single {
-   private int id;
-   private String name;
-   
-   public int getId() { ... }
-   
-   public void setId(int id ) { ... }
-   
-   public String getName() { ... }
-   
-   public void setName(String name) { ... }
-}
-        

- Here's the same class again, this time with JPA - annotations. -

-@Entity
-@Table(name="mySingleTable")
-public class Single {
-   private int id;
-   private String name;
-   
-   @Id
-   @Column(name="id")
-   public int getId() { ... }
-   
-   public void setId(int id) { ... }
-   
-   public String getName() { ... }
-   
-   public void setName(String name) { ... }
-}
-        

- As shown, the class Single is - mapped against the table mySingleTable, - and its fields id and name - are mapped to the columns id and - name, where the column name for the - id property is supplied explicitly and - where the column name for the name - property is derived from the property itself. -

- Next point is to create an DAO interface and - its implementation where we will be using - CastorDaoSupport from Castor's - support for Spring ORM to implement the required methods. -

-public interface SingleDao {
-	
-    void save(Single single);
-	
-    Single get(int id);
-	
-    void delete(Single single);
-
-}
-   
-public class SingleCastorDao extends CastorDaoSupport implements SingleDao {
-
-    public void delete(Single single) {
-        this.getCastorTemplate().remove(single);
-    }
-
-    public Single get(int id) {
-        return (Single) this.getCastorTemplate().load(Single.class, new Integer(id));
-    }
-
-    public void save(Single single) {
-        this.getCastorTemplate().create(single);
-    }
-}
-   

- There's one small final code change needed: For Castor to be able to work - with JPA-annotated classes, you have to configure an instance of - JDOClassDescriptorResolver and pass - it to your JDOManager, else Castor - won't be able to see those class files. Simply add - the individual classes one by one or the package(s) - as shown below: -

-JDOClassDescriptorResolver resolver = new JDOClassDescriptorResolverImpl();
-resolver.addClass(org.castor.jpa.Single.class);
-// or alternatively you can add the package:
-resolver.addPackage("org.castor.jpa");
-		
-InputSource jdoConfiguration = ...;
-JDOManager.loadConfiguration(jdoConfiguration, null, null, resolver);
-		
-JDOManager jdoManager = JDOManager.createInstance("jpa-extensions");
-...
-        

6.5.2. HOW-TO persist a 1:1 relation (@OneToOne)

- The goal is to take the existing JPA-annotated classes - OneToOne_A and OneToOne_B - and persist them with Castor JDO. Let's first have a look - at the domain classes themselves, this time with JPA - annotations already in place. -

-@Entity
-public class OneToOne_A {
-
-   private int id;
-   private String title;
-   
-   @Id
-   @Column(name = "id")
-   public int getId() { ... }
-   
-   public void setId(int id) { ... }
-   
-   @Column(name = "name")
-   public String getTitle() { ... }
-   
-   public void setTitle(String title) { ... }
-}
-   
-@Entity
-@Table(name="OneToOne_B")
-public class B {
-
-   private int id;
-   private String name;
-   private OneToOne_A objA;
-   
-   @Id
-   @Column(name = "id")
-   public int getId() { ... }
-   
-   public void setId(int id) { ... }
-   
-   @Column(name = "name")
-   public String getName() { ... }
-   
-   public void setName(String name) { ... }
-   
-   @OneToOne(optional=false)
-   public OneToOne_A getOneToOne_A() { ... }
-   
-   public void setOneToOne_a(OneToOne_A objA) { ... }
-}
-        

- As shown, the class OneToOne_A is - mapped against the table OneToOne_A - (implicit mapping), and the B - against the table OneToOne-B (explicit - mapping). Please note the @OneToOne annotation - that specifies the 1:1 relation from class - B to class - OneToOne_A. -

- As with the example shown further above, do not forget to - register all classes involved with the - JDOClassDescriptorResolver - as shown below: -

JDOClassDescriptorResolver fragment:

-resolver.addClass(org.castor.jpa.OneToOne_A.class);
-resolver.addClass(org.castor.jpa.B.class);
-        

or with the addPackage method:

-resolver.addPackage("org.castor.jpa");
-        

6.5.3. Persist one to many relation (@OnetoMany)

First we have to annotate our java classes.

-    @Entity
-    @Table(name="OneToMany_actor")
-    public class Actor {
-    
-        private int svnr;
-        private String lastname;
-        private String firstname;
-    
-        @Id
-        public int getSvnr() { ... }
-        
-	public void setSvnr(int svnr) { ... }
-    
-        @Column(name="surname")
-        public String getLastname() { ... }
-        public void setLastname(String lastname) { ... }
-    
-        @Column(name="firstname")
-        public String getFirstname() { ... }
-        public void setFirstname(String firstname) { ... }
-    }
-    
-    @Entity 
-    @Table(name="OneToMany_broadcast") 
-    public class Broadcast { 
-     
-        private int id; 
-        private String name; 
-        private Collection<Actor> actors; 
-     
-        @Id 
-        public int getId() { ... } 
-	
-        public void setId(int id) { ... } 
-     
-        public String getName() { ... } 
-     
-        public void setName(String name) { ... } 
-     
-        @OneToMany(targetEntity=Actor.class, mappedBy="actor_id") 
-        public Collection<Actor>  getActors() { ... } 
-     
-        public void setActors(Collection<Actor> actors) { ... }
-    } 
-   

What you see is that with the small modification you can persist one to many relations easily.

Last don't forget to change your JDOClassDescriptorResolver accordingly.

6.5.4. HOW-TO create and use a named query (@NamedQuery)

- The @NamedQuery annotation is used to specify a - named query in castor's own query language (OQL) and it is expressed - in metadata. The annotation takes the name and - an OQL query as parameters. -

- To define a named query, we first need a persistence entity where we - can attach the @NamedQuery annotation. -

-package your.package;
-
-@Entity
-@NamedQuery(name = "findPersonByName", 
-            query = "SELECT p FROM your.package.Person p WHERE p.name = $1")
-public class Person {
-
-    private long id;
-    private String name;
-
-	@Id
-	public long getId() {...}
-
-	public void setId(final long id) {...}
-
-	public String getName() {...}
-
-	public void setName(final String name) {...}
-}
-        

- As you can see, we defined a query using the name - findPersonByName. The query itself uses - $1 as a placeholder in its WHERE-clause, - which must be bound when executing the query. -

- The following code sample illustrates how to execute the named query defined - above: -

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("findPersonByName");                           (1)
-query.bind("Max Mustermann");                                                          (2)
-final QueryResults queryResults = query.execute();                                     (3)
-final Person queriedPerson = (Person) queryResults.next();
-queryResults.close();
-db.commit();
-            

Let's have a closer look on some of the lines from this example.

1

... creates an OQL query using the above defined named query.

2

.. binds the placeholder $1 to a value.

3

... executes the query and handle the results.

6.5.5. HOW-TO create and use multiple named queries (@NamedQueries)

The @NamedQueries annotation is used to specifiy - multiple named queries. -

-package your.package;
-
-@Entity
-@NamedQueries({
-    @NamedQuery(name = "findPersonByName",
-                query = "SELECT p FROM your.package.Person p WHERE p.name = $1"),
-    @NamedQuery(name = "findPersonById",
-                query = "SELECT p FROM you.package.Person p WHERE p.id = $1")
-})
-public class Person {
-
-    private long id;
-    private String name;
-
-    @Id
-    public long getId() {...}
-
-    public void setId(final long id) {...}
-
-    public String getName() {...}
-
-    public void setName(final String name) {...}
-}
-        

In the obove example we defined two named queries, namly - findPersonByName and findPersonById. - The usage of each query is identical to the usasage of a single named query. -

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("findPersonById");
-query.bind(1000L);
-final QueryResults queryResults = query.execute();
-final Person queriedPerson = (Person) queryResults.next();
-queryResults.close();
-db.commit();
-            

6.5.6. HOW-TO create and use a named native query (@NamedNativeQuery)

A named native query is a named query using native SQL syntax - instead of castor's own query language. The handling of the annotation - is similar to named queries.

First we need a entity to attach a query.

-@Entity
-@Table(name = personTable)
-@NamedNativeQuery(name = "selectAllPersons",
-                  query = "SELECT * FROM personTable")
-public class Person {
-
-    private long id;
-    private String name;
-
-	@Id
-	public long getId() {...}
-
-	public void setId(final long id) {...}
-
-	public String getName() {...}
-
-	public void setName(final String name) {...}
-}
-        

Although the query itself is written - in native SQL syntax, we - again - use a OQLQuery object - to execute the query.

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("selectAllPersons");
-final QueryResults queryResults = query.execute();
-... //process the results
-queryResults.close();
-db.commit();
-        

6.5.7. HOW-TO create and use multiple named native queries (@NamedNativeQueries)

The @NamedNativeQueries annotation is used to specifiy - multiple named native SQL queries. -

-package your.package;
-
-@Entity
-@Table(name = personTable)
-@NamedNativeQueries({
-    @NamedNativeQuery(name = "selectAllPersons",
-                      query = "SELECT * FROM personTable"),
-    @NamedNativeQuery(name = "findMustermann",
-                      query = "SELECT * FROM personTable WHERE name='Max Mustermann' and id=1000")
-})
-public class Person {
-
-    private long id;
-    private String name;
-
-    @Id
-    public long getId() {...}
-
-    public void setId(final long id) {...}
-
-    public String getName() {...}
-
-    public void setName(final String name) {...}
-}
-        

As we have already seen, the usage of the two above defined queries - is equivalent to the usage of a single named native query. -

-Database db = jdoManager.getDatabase();
-
-db.begin();
-final OQLQuery query = db.getNamedQuery("findMustermann");
-final QueryResults queryResults = query.execute();
-final Person maxMustermann = (Person) queryResults.next();
-queryResults.close();
-db.commit();
-        

6.5.8. HOW-TO use persistence callbacks

- The following annotations can be used for handling persistence callbacks via JPA: -

  • PostLoad
  • PrePersist
  • PostPersist
  • PreUpdate
  • PostUpdate
  • PreRemove
  • PostRemove

-

- Additionally, there are the following listener-related annotations: -

  • EntityListeners
  • ExcludeDefaultListeners
  • ExcludeSuperclassListeners

-

- So, here's a basic usage example: -

-@Entity
-public class Person {
-
-    private final Log log = LogFactory.getLog(this.getClass());
-
-    private long id;
-    private String name;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    public String getName() {
-        return name;
-    }
-
-    public void setName(final String name) {
-        this.name = name;
-    }
-
-    @PostLoad
-    protected void testPostLoadCallbackHooking() {
-        log.debug(String.format("Hello from `PostLoad`. My name is %s.",
-                this.name));
-    }
-
-    @PrePersist
-    protected void validateCreation() {
-        if (this.name.equals("Max Mustermann")) {
-            throw new PersistenceException(String.format(
-                    "Person mustn't be called %s.", this.name));
-        }
-    }
-
-    @PostPersist
-    protected void validatePersistence() {
-        if (this.name.equals("Manfred Mustermann")) {
-            throw new PersistenceException(String.format(
-                    "Person shouldn't be called %s either.", this.name));
-        }
-    }
-
-    @PreRemove
-    protected void validateRemoval() {
-        if (this.name.equals("Max Musterfrau")) {
-            throw new PersistenceException(this.name + " mustn't be removed.");
-        }
-    }
-
-    @PostRemove
-    protected void validateDeletion() {
-        if (this.name.equals("Manfred Musterfrau")) {
-            throw new PersistenceException(this.name
-                    + " shouldn't be removed either.");
-        }
-    }
-
-    @PreUpdate
-    protected void validateModification() {
-        if (this.name.equals("Max Musterfrau")) {
-            throw new PersistenceException(String.format(
-                    "Person mustn't be renamed to %s.", this.name));
-        }
-    }
-
-    @PostUpdate
-    protected void validateUpdating() {
-        if (this.name.equals("Hans Wurst")) {
-            throw new PersistenceException(String.format(
-                    "Person shouldn't be renamed to %s either.", this.name));
-        }
-    }
-
-}
-    

- As one can see from this example, such callbacks can e.g. be used for - handling validation based on CRUD (create, retrieve, update, delete) - operation events. -

- Furthermore, there are possibilites to define listeners which allow for - decoupling callback handling from entities. -

- Here's an example for that: -

-@Entity
-@EntityListeners(DogListener.class)
-public class Dog extends Animal {
-
-    private long id;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-}
-
-// Corresponding listener.
-public class DogListener {
-
-    @PostPersist
-    protected void postPersistDogListener() {
-        // Do something.
-    }
-
-}
-    

- Apart from that, ExcludeDefaultListeners and - ExcludeSuperclassListeners enable specifying - exclusion of listeners within an inheritance chain of entities. -

6.5.9. HOW-TO use @Enumerated

- Enumerated can be used to persist - Enum types. -

- Here's an example: -

-@Entity
-public class EnumEntity {
-
-    private long id;
-    private StringEnum stringEnum;
-    private OrdinalEnum ordinalEnum;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    @Enumerated(STRING)
-    public StringEnum getStringEnum() {
-        return stringEnum;
-    }
-
-    public void setStringEnum(final StringEnum stringEnum) {
-        this.stringEnum = stringEnum;
-    }
-
-    public OrdinalEnum getOrdinalEnum() {
-        return ordinalEnum;
-    }
-
-    public void setOrdinalEnum(final OrdinalEnum ordinalEnum) {
-        this.ordinalEnum = ordinalEnum;
-    }
-
-}
-    

- So, by default enums are serialized to their corresponding ordinal - value representations for persistence. In this case, it's also - sufficient to skip explicitly defining so via - Enumerated. If serialization to respective string - name representations is preferred annotating accordingly is required. -

6.5.10. HOW-TO use @Temporal

- This annotation can be used to specify properties mapped to temporal - data structures. -

Example:

-@Entity
-public class Person {
-
-    private long id;
-    private Date birthDate;
-    private Date anotherDate;
-    private Date yetAnotherDate;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    @Temporal(TIMESTAMP)
-    public Date getBirthDate() {
-        return birthDate;
-    }
-
-    public void setBirthDate(final Date birthDate) {
-        this.birthDate = birthDate;
-    }
-
-    @Temporal(TIME)
-    public Date getAnotherDate() {
-        return anotherDate;
-    }
-
-    public void setAnotherDate(final Date anotherDate) {
-        this.anotherDate = anotherDate;
-    }
-
-    @Temporal(DATE)
-    public Date getYetAnotherDate() {
-        return yetAnotherDate;
-    }
-
-    public void setYetAnotherDate(final Date yetAnotherDate) {
-        this.yetAnotherDate = yetAnotherDate;
-    }
-
-}
-    

- So, it's possible to say which underlying DB-based field data structure - to use (datetime, date or time). -

6.5.11. HOW-TO use @Lob

- Here's an example for that: -

-@Entity
-public class LobEntity {
-
-    private long id;
-    private String clob;
-    private byte[] blob;
-
-    @Id
-    public long getId() {
-        return id;
-    }
-
-    public void setId(final long id) {
-        this.id = id;
-    }
-
-    @Lob
-    public String getClob() {
-        return clob;
-    }
-
-    public void setClob(final String clob) {
-        this.clob = clob;
-    }
-
-    @Lob
-    public byte[] getBlob() {
-        return blob;
-    }
-
-    public void setBlob(final byte[] blob) {
-        this.blob = blob;
-    }
-
-}
-    

- Consequently, default behavior here is to serialize to - CLOB for character-based data and to - BLOB for data based on byte arrays (i.e., files). -

6.6. Integration with Spring ORM for Castor JDO

- This guide will show you how to enable the use of JPA annotations - with Castor JDO in the context of Spring, Spring ORM and the - existing Spring ORM support for Castor JDO. -

6.6.1. A typical sample

- Let's look at a typical Spring configuration file - that shows how to use Castor JDO with Spring as a - Spring ORM provider. -

spring-config.xml

-<beans xmlns="http://www.springframework.org/schema/beans" 
-       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
-       xmlns:tx="http://www.springframework.org/schema/tx"
-       xsi:schemaLocation="http://www.springframework.org/schema/beans 
-          http://www.springframework.org/schema/beans/spring-beans-2.0.xsd
-          http://www.springframework.org/schema/tx 
-          http://www.springframework.org/schema/tx/spring-tx-2.5.xsd">
-    
-    <!-- Enable transaction support using Annotations -->
-    <tx:annotation-driven transaction-manager="transactionManager" />
-    
-    <bean id="transactionManager" 
-          class="org.castor.spring.orm.CastorTransactionManager">
-          <property name="JDOManager" ref="jdoManager" /> 
-    </bean>
-
-    <bean id="jdoManager"
-        class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="dbName" />
-        <property name="configLocation" value="jdo-conf.xml" />
-    </bean>
-    
-    <bean id="singleDao" class="SingleCastorDao">
-        <property name="JDOManager">
-            <ref bean="jdoManager"/>
-        </property>
-    </bean>
-</beans> 
-        

- Above Spring application context configures the following - Spring beans: -

  • A factory bean for JDOManager instantiation

  • A Castor-specific transaction manager.

  • The DAO implementation as shown above.

- As shown above, the bean definition for the - JDOManager factory bean points to - a Castor JDO configuration file (jdo-conf.xml), - whose content is shown below: -

jdo-conf.xml

-<!DOCTYPE jdo-conf PUBLIC "-//EXOLAB/Castor JDO Configuration DTD Version 1.0//EN""http://castor.org/jdo-conf.dtd">
-<jdo-conf>
-  <database name="dbName" engine="mysql">
-     <driver url="jdbc:mysql://localhost:3306/single" 
-             class-name="com.mysql.jdbc.Driver">
-        <param name="user" value="user" />
-        <param name="password" value="password" />
-     </driver>
-     <mapping href="mapping-empty.xml" />
-  </database>
-  <transaction-demarcation mode="local" />
-</jdo-conf>
-        

- More on how to configure the Spring ORM provider for - Castor JDO can be found at TBD. -

6.6.2. Adding a JDOClassDescriptorResolver configuration

- In order to use JPA-annotated classes with the Spring ORM provider - for Castor JDO, you will have to use and configure a - JDOClassDescriptorResolver through an - additional bean definition and link it to your - JDOManager bean factory definition. -

-<beans xmlns="http://www.springframework.org/schema/beans" 
-          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
-          xmlns:tx="http://www.springframework.org/schema/tx"
-          xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.0.xsd
-          http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd">
-    
-    ...
-
-    <bean id="classDescriptorResolver"                                                 (1)
-          class="org.castor.spring.orm.ClassDescriptorResolverFactoryBean">
-        <property name="classes">
-            <list>
-                <value>org.castor.jpa.test.Single</value>
-            </list>
-        </property>
-    </bean>
-
-    ...
-    
-    <bean id="jdoManager"
-        class="org.castor.spring.orm.LocalCastorFactoryBean">
-        <property name="databaseName" value="dbName" />
-        <property name="configLocation" value="jdo-conf.xml" />
-        <property name="classDescriptorResolver" ref="classDescriptorResolver" />      (2)
-    </bean>
-    
-    ...
-</beans> 
-            

- where .... -

1

- Defines a JDOClassDescriptorResolver - bean enlisting all the Java (domain) classes that - carry JPA annotations. -

2

- links the JDOClassDescriptorResolver - bean to the classDescriptorResolver property - of the JDOManager bean definition. -

- If your domain classes share a set of packages, it is also - possible to enlist those packages with the - JDOClassDescriptorResolver bean, replacing - the bean definition shown above as follows: -

-    <bean id="classDescriptorResolver"
-          class="org.castor.spring.orm.ClassDescriptorResolverFactoryBean">
-        <property name="packages">
-            <list>
-                <value>org.castor.jpa.test</value>
-            </list>
-        </property>
-    </bean>
-        

6.6.3. JPA Callbacks

- In order to enable JPA callbacks handling via Spring ORM following - exemplary config snippet is required: -

-<bean id="jdoManager" class="org.castor.spring.orm.LocalCastorFactoryBean">
-    <property name="databaseName" value="testSimple" />
-    <property name="configLocation"
-        value="classpath:org/castor/jpa/scenario/callbacks/derby-jdo-conf.xml" />
-    <property name="classDescriptorResolver" ref="classDescriptorResolver" />
-    <property name="callbackInterceptor" ref="jpaCallbackHandler" />
-</bean>
-
-<bean id="jpaCallbackHandler" class="org.castor.jdo.jpa.info.JPACallbackHandler" />
-        

6.7. Castor JPA Extensions

- This section describes all JPA-extensions provided by Castor. -

6.7.1. @Cache and @CacheProperty

- In order to get the maximum out of the chosen built-in or - external cache engine Castor provides a generic way to - specify properties in a vendor-independent way. - Castor allows for cache-tuning on a per-entity basis by - simply providing key-value pairs with the @CacheProperty - annotation in the @Cache container annnotation. -

-            @Entity
-            @Cache({
-                @CacheProperty(key="type", value="ehcache"),
-                @CacheProperty(key="capacity", value="50")
-            })
-            @Table(name="Cache_limited")
-            public class LimitedCachingEntity implements CacheTestEntity {
-            
-                private long id;
-                private String name;
-            
-                @Id
-                public long getId() {
-                    return id;
-                }
-            
-                public void setId(final long id) {
-                    this.id = id;
-                }
-            
-                public String getName() {
-                    return name;
-                }
-            
-                public void setName(final String name) {
-                    this.name = name;
-                }
-            
-            }
-        

- @Cache is based on Castor JDO and uses its default - settings: 'count-limited' as cache type with a capacity of 30 entries. -

\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/xml.code.generator.extensions.html b/src/site/resources/reference-guides/1.4.0/html-single/xml.code.generator.extensions.html deleted file mode 100755 index 713757dc9..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/xml.code.generator.extensions.html +++ /dev/null @@ -1,611 +0,0 @@ - - - Chapter 8. XML code generation - Extensions

Chapter 8. XML code generation - Extensions

8.1. XML code generation extensions - Motivation

- With Castor 1.2 and earlier releases it has already been possible to - generate Java classes from an XML schema and use these classes - for XML data binding without having - to write a mapping file. -

- This is possible because the Castor XML code generator generated - in - addition to the domain classes - a set of XML descriptor classes as well, - with one descriptor class generated per generated domain class. It's this - XML descriptor class that holds all the information required to map Java - classes and/or field members to XML artifacts, as set out in the original - XML schema definitions. This includes .... -

  • artefact names

  • XML namespace URIs

  • XML namespace prefix

  • validation code

- Starting with Castor 1.3, a mechanism has been added to the XML code generator that allows - extension of these core offerings so that either additional content is added to the generated - domain classes additonal descriptor classes are gernated. -

8.1.1. JDO extensions for the Castor XML code generator

8.1.1.1. JDO extensions - Motivation

- With Castor 1.2 and previous releases it was already possible to - generate Java classes from an XML schema and use these classes - for XML data binding without having - to write a mapping file. -

- This is possible because the Castor XML code generator generated - in - addition to the domain classes - a set of XML descriptor classes as well, - with one descriptor class generated per generated domain class. It's this - XML descriptor class that holds all the information required to map Java - classes and/or field members to XML artifacts, as set out in the original - XML schema definitions. This includes .... -

  • artefact names

  • XML namespace URIs

  • XML namespace prefix

  • validation code

- In addition, it was already possible to use the generated set of domain classes - in Castor JDO for object-/relational mapping purpose by supplying a - (manually written) JDO-specific mapping file. Whilst technically not very difficult, - this was still an error-prone task, especially in a context where tens or - hundreds of classes were generated from a set of XML schemas. -

- The JDO extensions for the Castor XML code generator - extend the code generator in such a way that a second set of descriptor classes is - generated: the JDO descriptor classes. These new descriptor classes define - the mapping between Java (domain) objects and database tables/columns, and as - such remove the requirement of having to write a JDO-specific mapping file. -

[Note]Note

- Please note that Castor JDO - upon startup - internally converts the information - provided in the JDO mapping file to (JDO) descriptor classes. As such, the - approach outlined above simply re-uses an existing code base and just automates the - production of those descriptor classes. -

- The following sections introduce the general principles, define the XML schema - artifacts available to annotate an existing XML schema and highlight the - usage of these artifacts by providing examples. At the same time, - a limited set of current product limitations are spelled out. -

8.1.1.2. Limitations

- With release 1.3 of Castor, the following limitations exist for the JDO - extensions of the XML code generator: -

  1. - The extensions currently can only be used in type - mode of the XML code generator. -

  2. - There's currently no support for key generators. - There's work in progress to add this functionality, though. -

  3. - There's currently no support for bidirectional relations, modelled through - the use of <xs:id> and <xs:idref> constructs. -

8.1.1.3. Prerequisites

- To facilitate the detailed explanations in the following - sections, we now define a few <complexType> definitions - that we want to map against an existing database schema, and the - corresponding SQL statements to create the required tables. -

8.1.1.3.1. Sample XML schemas
-               
-<complexType name="bookType">
-   <sequence>
-      <element name="isbn" type="xs:string" />
-      <element name="pages" type="xs:integer" />
-      <element name="lector" type="lectorType" />
-      <element name="authors" type="authorType" maxOccurs="unbounded" />
-   </sequence>
-</complexType>
-
-<complexType name="lectorType">
-   <sequence>
-      <element name="siNumber" type="xs:integer" />
-      <element name="name" type="xs:string" />
-   </sequence>
-</complexType>
-
-<complexType name="authorType">
-   <sequence>
-      <element name="siNumber" type="xs:integer" />
-      <element name="name" type="xs:string" />
-   </sequence>
-</complexType>
-            
8.1.1.3.2. Sample DDL statements
-CREATE TABLE author_table (
-   sin INTEGER NOT NULL,
-   name VARCHAR(20) NOT NULL
-);
-
-CREATE TABLE lector_table (
-   sin INTEGER NOT NULL,
-   name VARCHAR(20) NOT NULL
-);
-
-CREATE TABLE book_table (
-   isbn VARCHAR(13) NOT NULL,
-   pages INTEGER,
-   lector_id INTEGER NOT NULL,
-   author_id INTEGER NOT NULL
-);

8.1.1.4. Configuring the XML code generator

- To have the Castor XML code generator generate JDO class descriptors - when processing a set of XML schemas, please use one of the following - methods: -

Table 8.1. Accessing options

UsageMethodDescription
SourceGeneratorsetJdoDescriptorCreation(boolean)Supply a value of true to enable this feature.
SourceGeneratorMainFlag -gen-jdo-descSet this optional flag to enable this feature.
Ant task for XML code generatorgenerateJdoDescriptors optionSet this to a value of true.

8.1.1.5. The JDO annotations for XML schemas

- This section enlists the XML artifacts available to annotate an existing XML schema - with JDO extension-specific information. These constructs are defined themselves - in an XML schema jdo-extensions.xsd that has a target - namespace of http://www.castor.org/binding/persistence. -

- To enable proper validation of your XML schemas when editing JDO - annotations, and to enable XML completion in your preferred XML - editor, please add schemaLocation information to - your XML schema definition as follows: -

-<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema"
-    targetNamespace="http://your/target/namespace"
-    xmlns:jdo="http://www.castor.org/binding/persistence"
-    xmlns="http://your/target/namespace"                                       (1)
-    xsi:schemaLocation="http://www.castor.org/binding/persistence http://www.castor.org/jdo-extensions.xsd">
-    
-...
-
-</xs:schema>        
-            

- where ... -

1

- The values supplied in the schemaLocation attribute - define the location of the XML schema for any XML artefacts bound to - the http://www.castor.org/binding/persistence namespace. -

8.1.1.5.1. <table> element

- The <table> element allows you to map an <complexType> - definition to a database table within a database, and to specify the - identity (frequently referred to as primary key), - as follows: -

-<xs:complexType name="authorType">
-   <xs:annotation>
-      <xs:appinfo>
-         <jdo:table name="author_table">                                       (1)
-            <jdo:primary-key>                                                  (2)
-               <jdo:key>siNumber</jdo:key>
-            </jdo:primary-key>
-         </jdo:table>
-      </xs:appinfo>
-   </xs:annotation>
-   <xs:sequence>
-      <xs:element name="siNumber" type="xs:integer" />
-      <xs:element name="name" type="xs:string" />
-   </xs:sequence>
-</xs:complexType>
-              

- where ... -

1

- The <jdo:table ...> defines the name - of the database table to which the complex type definition - authorType should be mapped. -

2

- The <jdo:primary-key> indicates which - artifacts of the content model of the complex type definition - should be used as the corresponding object identity; in database - terms, this is often referred to as primary key. -

- Above example maps the complex type authorType to - the table author_table, and specifies that the - member siNumber be used as object identity. -

- The XML schema definition for the <table> - element is defined as follows: -

-<xs:element name="table">
-   <xs:complexType>
-      <xs:sequence>
-         <xs:element name="primaryKey" type="jdo:pkType"/>
-      </xs:sequence>
-      <xs:attribute name="name" type="xs:string" use="required"/>
-      <xs:attribute name="accessMode" use="optional" default="shared">
-         <xs:simpleType>
-            <xs:restriction base="xs:string">
-               <xs:enumeration value="read-only"/>
-               <xs:enumeration value="shared"/>
-               <xs:enumeration value="exclusive"/>
-               <xs:enumeration value="db-locked"/>
-            </xs:restriction>
-         </xs:simpleType>
-      </xs:attribute>
-      <xs:attribute name="detachable" type="xs:boolean" default="false"/>
-   </xs:complexType>
-</xs:element>
-
-<xs:complexType name="pkType">
-   <xs:sequence>
-      <xs:element name="key" type="xs:string" maxOccurs="unbounded" />
-   </xs:sequence>
-</xs:complexType>
-            
8.1.1.5.2. <column> element

- The <column> element allows you to map a member of content model - of a <complexType> definition to a column within a database - table. -

-<xs:complexType name="authorType">
-   <xs:annotation>
-      <xs:appinfo>
-         <jdo:table name="author_table">
-            <jdo:primary-key>
-               <jdo:key>siNumber</jdo:key>
-            </jdo:primary-key>
-         </jdo:table>
-      </xs:appinfo>
-   </xs:annotation>
-   <xs:sequence>
-      <xs:element name="siNumber" type="xs:integer" >
-         <xs:annotation>
-            <xs:appinfo>
-                <jdo:column name="sin" type="integer" />                       (1)
-            </xs:appinfo>
-         </xs:annotation>
-      </xs:element>
-      <xs:element name="name" type="xs:string" />
-   </xs:sequence>
-</xs:complexType>
-              

- where .... -

1

- Defines that the element definition siNumber - be mapped against the database column sin, and - that the (database) type of this column is - integer. -

- Above example maps the element isNumber to - the database column sin, and specifies the database type - to be used for persistence (integer, in this case). -

- The XML schema definition for <column> is - defined as follows: -

-<xs:element name="column">
-   <xs:complexType>
-      <xs:complexContent>
-         <xs:extension base="jdo:readonlyDirtyType">
-            <xs:attribute name="name" type="xs:string" use="required" />
-            <xs:attribute name="type" type="xs:string" use="required" />
-            <xs:attribute name="acceptNull" type="xs:boolean" use="optional"
-               default="true" />
-         </xs:extension>
-      </xs:complexContent>
-   </xs:complexType>
-</xs:element>
-            

- where the content is described as follows: -

Table 8.2. <column> - Definitions

NameDescription
nameName of the column
typeJDO-type of the column
acceptNullWhether this field accepts NULL values or not

8.1.1.5.3. <one-to-one> element

- The <one-to-one> element allows you to map a member of content model - of a <complexType> definition to a 1:1 relation to another - <complexType>. -

-<xs:complexType name="bookType">
-   <xs:annotation>
-      <xs:appinfo>
-         <jdo:table name="book_type_table">
-            <jdo:primary-key>
-               <jdo:key>isbn</jdo:key>
-            </jdo:primary-key>
-         </jdo:table>
-      </xs:appinfo>
-   </xs:annotation>
-   <xs:sequence>
-      <xs:element name="isbn" type="xs:string" >
-         <xs:annotation>
-            <xs:appinfo>
-                <jdo:column name="isbn" type="varchar" />
-            </xs:appinfo>
-         </xs:annotation>
-      </xs:element>
-      <xs:element name="pages" type="xs:integer" >
-         <xs:annotation>
-            <xs:appinfo>
-                <jdo:column name="pages" type="integer" />
-            </xs:appinfo>
-         </xs:annotation>                                                      (1)
-      </xs:element>
-      <xs:element name="lector" type="lectorType" >
-         <xs:annotation>
-            <xs:appinfo>
-               <jdo:one-to-one name="lector_id" />
-            </xs:appinfo>
-         </xs:annotation>
-      </xs:element>
-      <xs:element name="authors" type="authorType" maxOccurs="unbounded" >
-         ...
-      </xs:element>
-   </xs:sequence>
-</xs:complexType>
-                

- where .... -

1

- Defines a 1:1 relation to another <complexType>, - additionally providing the necessary foreign key column - at the database level. -

- Above example maps the element lector to a - 1:1 relation to the complex type lectorType, and - specifies the (column name of the) foreign key to be used - (lector_id in this case). -

- The XML schema definition for <one-to-one> - is defined as follows: -

-<xs:element name="one-to-one">
-   <xs:complexType>
-      <xs:complexContent>
-         <xs:extension base="jdo:readonlyDirtyType">
-            <xs:attribute name="name" type="xs:string"/>
-         </xs:extension>
-      </xs:complexContent>
-   </xs:complexType>
-</xs:element>
-            

- where the content is described as follows: -

Table 8.3. <one-to-one> - Definitions

NameDescription
nameName of the column that represents the foreign key of this relation

8.1.1.5.4. <one-to-many> element

- The <one-to-many> element allows you to map a member of the - content model of a <complexType> definition as part of a 1:M relation - to another <complexType>. -

-<xs:complexType name="bookType">
-   <xs:annotation>
-      <xs:appinfo>
-         <jdo:table name="book_type_table">
-            <jdo:primary-key>
-               <jdo:key>isbn</jdo:key>
-            </jdo:primary-key>
-         </jdo:table>
-      </xs:appinfo>
-   </xs:annotation>
-   <xs:sequence>
-      <xs:element name="isbn" type="xs:string" >
-         <xs:annotation>
-            <xs:appinfo>
-                <jdo:column name="isbn" type="varchar" />
-            </xs:appinfo>
-         </xs:annotation>
-      </xs:element>
-      <xs:element name="pages" type="xs:integer" >
-         <xs:annotation>
-            <xs:appinfo>
-                <jdo:column name="pages" type="integer" />
-            </xs:appinfo>
-         </xs:annotation>
-      </xs:element>
-      <xs:element name="lector" type="lectorType" >
-         <xs:annotation>
-            <xs:appinfo>
-               <jdo:one-to-one name="lector_id" />
-            </xs:appinfo>
-         </xs:annotation>
-      </xs:element>
-      <xs:element name="authors" type="authorType" maxOccurs="unbounded" >
-         <xs:annotation>
-            <xs:appinfo>
-                <jdo:one-to-many name="book_id" />                             (1)
-            </xs:appinfo>
-         </xs:annotation>    
-      </xs:element>
-   </xs:sequence>
-</xs:complexType>
-                

- where .... -

1

- Defines a 1:M relation to another <complexType>, - additionally providing the necessary foreign key column - for the many member at the database level. -

- Above example maps the element authors as part of a - 1:M relation to the complex type authorType, and - specifies the (column name of the) foreign key of the many member - to be used (book_id in this case). -

- The XML schema definition for <one-to-many> - is given as follows: -

-<xs:element name="one-to-many">
-   <xs:complexType>
-      <xs:complexContent>
-         <xs:extension base="jdo:readonlyDirtyType">
-            <xs:attribute name="name" type="xs:string" />
-         </xs:extension>
-      </xs:complexContent>
-   </xs:complexType>
-</xs:element>
-            

- with the following details applying: -

Table 8.4. <one-to-many> - Definitions

NameDescription
nameName of the column that represents the (many) foreign key of this relation

8.1.1.6. Using the generated (domain) classes with Castor JDO

- Once you have generated domain classes and descriptor classes - (both XML and JDO) from your set of XML schemas, you'll be - able to use them as are. There's a few minor changes, which we - are going to highlight below, but the main benefit is that you - not have to write a JDO mapping - file. -

8.1.1.6.1. Empty mapping file

- As you have already generated JDO descriptor classes for each - of your domain objects, you won't have to supply mappings for - those classes anymore. As such, your mapping file will stay - empty, as shown: -

-<?xml version="1.0"?>
-<!DOCTYPE mapping PUBLIC "-//EXOLAB/Castor Mapping DTD Version 1.0//EN"
-                           "http://castor.org/mapping.dtd">
-<mapping>
-
-   <!-- no mappings required -->
-</mapping>
-            
[Note]Note

- Please note that you can of course supply mappings for - those classes that stand outside of the generation - process from your XML schemas. It is possible, too, to - match both modes. In other words, a domain class mapped manually - will be able to refer to a domain class as generated. -

8.1.1.6.2. Use of a JDOClassDescriptorResolver

- In order for Castor to be able to access the generated (JDO) class - descriptors and to load those classes from the file system, - you will have to configure an instance of - JDOClassDescriptorResolver and pass it to your - JDOManager instance when loading the JDO - configuration. -

- The following example shows how to configure Castor JDO so that - the classes generated from the sample XML schema above can be used - with CASTOR JDO seamlessly. -

-JDOClassDescriptorResolver resolver = new JDOClassDescriptorResolverImpl();
-resolver.addClass(org.castor.jdo.extension.sample.BookType.class);
-resolver.addClass(org.castor.jdo.extension.sample.LectorType.class);            
-resolver.addClass(org.castor.jdo.extension.sample.AuthorType.class);
-
-InputSource jdoConfiguration = ....;
-JDOManager.loadConfiguration(jdoConfiguration, null, null, resolver);
-   
-JDOManager jdoManager = JDOManager.createInstance("jdo-extensions");
-...             
-            

- Alternatively, if the classes generated from the sample - XML schema shown above reside in the same package, you can - configure the JDOClassDescriptorResolver - as follows: -

-JDOClassDescriptorResolver resolver = new JDOClassDescriptorResolverImpl();
-resolver.addPackage("org.castor.jdo.extension.sample");
-...
-            
[Tip]Tip

- For the latter approach to work, you will have to make sure that the - .castor.jdo.cdr files generated alongside - your domain (and descriptor classes) are included in your - application deployment units. If not, Castor JDO will not be - able to load the descriptor classes from the file system, and - throw an exception. -

8.1.2. SOLRJ extensions for the Castor XML code generator

8.1.2.1. SOLRJ extensions - Motivation

- With Castor 1.2 and previous releases it was already possible to - generate Java classes from an XML schema and use these classes - for XML data binding without having - to write a mapping file. -

- This is possible because the Castor XML code generator generated - in - addition to the domain classes - a set of XML descriptor classes as well, - with one descriptor class generated per generated domain class. It's this - XML descriptor class that holds all the information required to map Java - classes and/or field members to XML artifacts, as set out in the original - XML schema definitions. This includes .... -

  • artefact names

  • XML namespace URIs

  • XML namespace prefix

  • validation code

- The SOLRJ extensions for the Castor XML code generator - extend the code generator in such a way that the set of domain classes is - augmented with SOLRJ-specific @Field annotations. -

- The following sections introduce the general principles, define the XML schema - artifacts available to annotate an existing XML schema and highlight the - usage of these artifacts by providing examples. -

8.1.2.2. Prerequisites

- To facilitate the detailed explanations in the following - sections, we now define a few <complexType> definitions - that we want to be able to store in a SOLR index in addition to vanilla XML - data binding funtionality. -

8.1.2.2.1. Sample XML schemas
-       
-<complexType name="bookType">
-   <sequence>
-      <element name="isbn" type="xs:string" />
-      <element name="pages" type="xs:integer" />
-   </sequence>
-</complexType>
-        

8.1.2.3. The SOLRJ annotations for XML schemas

- This section enlists the XML artifacts available to annotate an existing XML schema - with SOLRJ extension-specific information. These constructs are defined themselves - in an XML schema solrj-extensions.xsd that has a target - namespace of http://www.castor.org/binding/solrj. -

- To enable proper validation of your XML schemas when editing SOLRJ - annotations, and to enable XML completion in your preferred XML - editor, please add schemaLocation information to - your XML schema definition as follows: -

-<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema"
-    targetNamespace="http://your/target/namespace"
-    xmlns:solr="http://www.castor.org/binding/solrj"
-    xmlns="http://your/target/namespace"
-    xsi:schemaLocation="http://www.castor.org/binding/solrj http://www.castor.org/solrj-extens(1)ions.xsd">
-    
-...
-
-</xs:schema>        
-            

- where ... -

1

- The values supplied in the schemaLocation attribute - define the location of the XML schema for any XML artefacts bound to - the http://www.castor.org/binding/solrj namespace. -

8.1.2.3.1. <field> element

- The <field> element allows you to map a member of the content model - of a <complexType> definition to SOLRJ field. -

-<complexType name="bookType">
-   <sequence>
-      <element name="isbn" type="xs:string">
-         <xs:annotation>
-            <xs:appinfo>
-                <solrj:field name="id" />                                      (1)
-            </xs:appinfo>
-         </xs:annotation>
-      </element>
-      <element name="pages" type="xs:integer">
-         <xs:annotation>
-            <xs:appinfo>
-                <solrj:field />                                                (2)
-            </xs:appinfo>
-         </xs:annotation>
-      </element>
-   </sequence>
-</complexType>
-              

- where .... -

1

- Defines that the element definition isbn - be mapped against the SOLRJ field id. -

2

- Defines that the element definition name - be mapped to the SOLRJ field name. -

- Above example maps the element isbn to - the SOLR index field id, and the element - name to the identically-named SOLR index - field. Please note that a SOLR index field name does not have - to be specified if the field name and the Java property name - are identical. -

- Above complex type definition will be transformed to the - corresponding Java property definitions (within a class): -

-public class BookType {
-
-    @Field("id")
-    private String isbn;
-    
-    @Field
-    private long pages;
-    
-}
-            

- The XML schema definition for <field> is - defined as follows: -

-<xs:element name="field">
-  <xs:annotation>
-     <xs:documentation>
-            Element 'field' is used to specify the use of the SOLRJ
-            @Field annotation.
-        </xs:documentation>
-  </xs:annotation>
-  <xs:complexType>
-     <xs:attribute name="name" type="xs:string" use="optional">
-        <xs:annotation>
-           <xs:documentation>
-                    Attribute 'name' is used to specify the name of
-                    the index field to be mapped against; if not used,
-                    the name of the Java property will be used as filed 
-                    name.
-                </xs:documentation>
-        </xs:annotation>
-     </xs:attribute>
-  </xs:complexType>
-</xs:element>
-            

- where the content is described as follows: -

Table 8.5. <field> - Definitions

NameDescriptionOptional?
nameName of the SOLR index field.Yes

8.1.2.4. Using the generated domain classes with SOLR

- Once you have generated domain classes (and descriptor classes - for the XML binding) from your set of XML schemas, you'll be - able to use them as are. -

\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html-single/xml.code.generator.html b/src/site/resources/reference-guides/1.4.0/html-single/xml.code.generator.html deleted file mode 100755 index a8af5f157..000000000 --- a/src/site/resources/reference-guides/1.4.0/html-single/xml.code.generator.html +++ /dev/null @@ -1,2041 +0,0 @@ - - - Chapter 2. XML code generation

Chapter 2. XML code generation

2.1. Why Castor XML code generator - Motivation

tbd

2.2. Introduction

2.2.1. News

2.2.1.1. Source generation & Java field naming conventions

- Starting with release 1.3.3, the Castor - source generator supports a new naming scheme for Java field names, which - will be enabled by default. As such, Java field names as generated will follow more closely the standard - Java property naming conventions. Should there be a need to keep using the old naming schema, - please amend the following property in your custom castorbuilder.properties file: -

-#
-# Property specifying whether for Java field names the old naming conventions
-# should be used.
-#
-# Possible values:
-# - true
-# - false (default)
-# 
-# <pre>
-# org.exolab.castor.builder.field-naming.old = false
-# </pre>
-#
-org.exolab.castor.builder.field-naming.old=true
-	        

2.2.1.2. Source generation & Java 5.0

  1. - Since release 1.0.2, the Castor - source generator supports the optional the generation of - Java 5.0 compliant code. -

  2. - With release 1.3, the XML - code generator will generate Java 5.0 compliant code by default. -

- With support for Java 5.0 enabled, the generated code will support the - following Java 5.0-specific artifacts: -

  • - Use of parameterized collections, e.g. - ArrayList<String>. -

  • - Use of @Override annotations with the generated methods - that require it. -

  • - Use of @SuppressWarnings with "unused" method parameters - on the generated methods that needed it. -

  • Added "enum" to the list of reserved keywords.

- To disable this feature (on by default), please amend the following property - in your custom castorbuilder.properties file: -

-# Specifies whether the sources generated should be source compatible with
-# Java 1.4 or Java 5.0. Legal values are "1.4" and "5.0".  When "5.0" is
-# selected, generated source will use Java 5 features such as generics and
-# annotations.
-# Defaults to "5.0".
-#
-org.exolab.castor.builder.javaVersion=5.0
-        

2.2.2. Introduction

- Castor's Source Code Generator creates a set of Java classes which - represent an object model for an XML Schema (W3C XML Schema 1.0 Second - Edition, Recommendation), as well as the necessary Class - Descriptors used by the marshaling - framework to obtain information about the generated classes. -

[Note]Note

- The generated source files will need to be compiled. A later - release may add an Ant taskdef to handle this automatically. -

2.2.3. Invoking the XML code generator

- The XML code generator can be invoked in many ways, including by - command line, via an Ant task and via Maven. Please follow the - below links for detailed instructions on each invocation mode. -

2.2.4. XML Schema

- The input file for the source code generator is an XML - schema[1]footnote>. The currently supported version is the - W3C XML Schema 1.0, Second Edition - [2]. - For more information about XML schema support, check - Section 2.6, “XML schema support”. -

2.3. Properties

2.3.1. Overview

- Please find below a list of properties that can be configured through - the builder configuration properties, as defined in either the default - or a custom XML code generator configuration file. These properties allow you - to control various advanced options of the XML source generator. -

Table 2.1. <column> - Definitions

OptionDescriptionValuesDefaultSince version
org.exolab.castor.builder.javaVersionCompliance with Java version1.4/5.01.41.0.2
- org.exolab.castor.builder.forceJava4Enums - Forces the code generator to create 'old' Java 1.4 enumeration classes even in Java 5 mode.true/falsefalse1.1.3
- org.exolab.castor.builder.boundproperties - Generation of bound propertiestrue/falsefalse0.8.9
- org.exolab.castor.builder.javaclassmapping - Class generation modeelement/typeelement0.9.1
- org.exolab.castor.builder.superclass - Global super class (for all classes generated)Any valid class name-0.8.9
- org.exolab.castor.builder.nspackages - XML namespace to package name mappingA series of mappings-0.8.9
- org.exolab.castor.builder.equalsmethod - Generation of equals/hashCode() methodtrue/falsefalse0.9.1
- org.exolab.castor.builder.useCycleBreaker - Use of cycle breaker code in generated equals/hashCode() methodtrue/falsetrue1.3.2
- org.exolab.castor.builder.primitivetowrapper - Generation of Object wrappers instead of primitivestrue/falsefalse0.9.4
- org.exolab.castor.builder.automaticConflictResolution - Specifies whether automatic class name conflict resolution - should be used or nottrue/falsefalse1.1.1
- org.exolab.castor.builder.extraCollectionMethods - Specifies whether extra (additional) methods should be created for - collection-style fields. Set this to true if you want your code to be - more compatible with Castor JDO or other persistence frameworks.true/falsefalse0.9.1
- org.exolab.castor.builder.jclassPrinterFactories - Enlists the available modes for (J)Class printing during - XML code generation.org.exolab.castor.builder.printing.WriterJClassPrinterFactory/ - org.exolab.castor.builder.printing.TemplateJClassPrinterFactoryn/a1.2.1
- org.exolab.castor.builder.extraDocumentationMethods - specifying whether extra members/methods for extracting XML schema - documentation should be made available.true/falsefalse1.2

2.3.2. Customization - Lookup mechanism

By default, the Castor XML code generator will look for such a property file - in the following places:

  1. If no custom property file is specified, the Castor XML code - generator will use the default builder configuration - properties at org/exolab/castor/builder/castorbuilder.properties - as shipped as part of the XML code generator JAR.

  2. If a file named castorbuilder.properties is available - on the CLASSPATH, the Castor XML code generator will use each of the - defined property values to override the default value as defined - in the default builder configuration properties. This file is commonly - referred to as a custom builder configuration file.

2.3.3. Detailed descriptions

2.3.3.1. Source generation & Java 5.0

- As of Castor 1.0.2, the Castor source generator now supports the - generation of Java 5.0 compliant code. The generated code - with the - new feature enabled - will make use of the following Java 5.0-specific - artifacts: - -

  • Use of parameterized collections, e.g. ArrayList<String>.

  • Use of @Override annotations with the generated methods - that require it.

  • Use of @SupressWarnings with "unused" method parameters - on the generated methods that needed it.

  • Added "enum" to the list of reserved keywords.

-

- To enable this feature (off by default), please uncomment the - following property in your custom castorbuilder.properties - file: -

-# This property specifies whether the sources generated
-# should comply with java 1.4 or 5.0; defaults to 1.4
-org.exolab.castor.builder.javaVersion=5.0

2.3.3.2. SimpleType Enumerations

- In previous versions, castor only supported (un)marshalling of "simple" - java5 enums, meaning enums where all facet values are valid java identifiers. - In these cases, every enum constant name can be mapped directly to the xml value. - See the following example: -

-<xs:simpleType name="AlphabeticalType">
-  <xs:restriction base="xs:string">
-    <xs:enumeration value="A"/>
-    <xs:enumeration value="B"/>
-    <xs:enumeration value="C"/>
-  </xs:restriction>
-</xs:simpleType>
-public enum AlphabeticalType {
-    A, B, C
-}
-<root>
-  <AlphabeticalType>A</AlphabeticalType>    
-</root>
-    

- So if there is at least ONE facet that cannot be mapped directly to a - valid java identifier, we need to extend the enum pattern. Examples for - these cases are value="5" or value="-s". Castor now introduces an extended - pattern, similar to the jaxb2 enum handling. The actual value of the - enumeration facet is stored in a private String property, the name of the - enum constant is translated into a valid identifier. Additionally, some - convenience methods are introduced, details about these methods are described - after the following example: -

-<xs:simpleType name="CompositeType">
-  <xs:restriction base="xs:string">
-    <xs:enumeration value="5"/>
-    <xs:enumeration value="10"/>
-  </xs:restriction>
-</xs:simpleType>
-public enum CompositeType {
-    VALUE_5("5"),
-    VALUE_10("10");
-
-    private final java.lang.String value;
-
-    private CompositeType(final java.lang.String value) {
-        this.value = value;
-    }
-
-    public static CompositeType fromValue(final java.lang.String value) {
-        for (CompositeType c: CompositeType.values()) {
-            if (c.value.equals(value)) {
-                return c;
-            }
-        }
-        throw new IllegalArgumentException(value);
-    }
-
-    public java.lang.String value() {
-        return this.value;
-    }
-    
-    public java.lang.String toString() {
-        return this.value;
-    }
-}
-<root>
-  <CompositeType>5</CompositeType>    
-</root>
2.3.3.2.1. Unmarshalling of complex enums

- Castor uses the static void fromValue(String value) - method to retrieve the correct instance from the value in the XML - input file. In our example, the input is "5", fromValue returns - CompositeType.VALUE_5. -

2.3.3.2.2. Marshalling of complex enums

- Currently, we have to distinguish between enums with a class - descriptor and the ones without. If you are using class descriptors, - the EnumerationHandler uses the value() method to write the xml output. -

- If no descriptor classes are available, castor uses per default the - toString() - method to marshall the value. In this case, the override of the - java.lang.Enum.toString() method is mandatory, because - java.lang.Enum.toString() returns the NAME of the - facet instead of the VALUE. So in our example, VALUE_10 - would be returned instead of "10". To avoid this, castor expects an - implementation of toString() that returns - this.value. -

2.3.3.2.3. Source Generation of complex enums

- If the java version is set to "5.0", the new default behavior of - castor is to generate complex java5 enums for simpleType enumerations, - as described above. In java 1.4 mode, nothing has changed and the old - style enumeration classes using a HashMap are created. -

- Users, who are in java5 mode and still want to use the old style java - 1.4 classes, can force this by setting the new - org.exolab.castor.builder.forceJava4Enums property - to true as follows: -

- # Forces the code generator to create 'old' Java 1.4 enumeration classes instead 
- # of Java 5 enums for xs:simpleType enumerations, even in Java 5 mode.
- #
- # Possible values:
- # - false (default)
- # - true
-org.exolab.castor.builder.forceJava4Enums=false

2.3.3.3. Bound Properties

- Bound properties are "properties" of a class, which when - updated the class will send out a java.beans.PropertyChangeEvent - to all registered java.beans.PropertyChangeListeners. -

- To enable bound properties, please add a property definition - to your custom builder configuration file as follows: -

-# To enable bound properties uncomment the following line. Please
-# note that currently *all* fields will be treated as bound properties
-# when enabled. This will change in the future when we introduce
-# fine grained control over each class and it's properties.
-#
-org.exolab.castor.builder.boundproperties=true

- When enabled, all properties will be treated as bound properties. For - each class that is generated a setPropertyChangeListener method is - created as follows: -

-/**
- * Registers a PropertyChangeListener with this class.
- * @param pcl The PropertyChangeListener to register.
- **/
-
-public void addPropertyChangeListener (java.beans.PropertyChangeListener pcl)
-{
-   propertyChangeListeners.addElement(pcl);
-} //-- void addPropertyChangeListener

- Whenever a property of the class is changed, a - java.beans.PropertyChangeEvent will be sent to - all registered listeners. The property name, the old value and - the new value will be set in the - java.beans.PropertyChangeEvent. -

[Note]Note
- To prevent unnecessary overhead, if the property is a collection, - the old value will be null. -

2.3.3.4. Class Creation/Mapping

- The source generator can treat the XML Schema structures such as - <complexType> and <element> - in two main ways. The first, and current default method is called the - "element" method. The other is called the "type" method. -

Table 2.2. <column> - Definitions

MethodExplanation
'element' -

- The "element" method creates classes for all elements whose type is a - <complexType>. Abstract classes are created for all top-level - <complexType>s. Any elements whose type is a top-level type will have - a new class create that extends the abstract class which was generated for - that top-level complexType. -

-

- Classes are not created for elements whose type is a <simpleType>. -

-
'type' -

- The "type" method creates classes for all top-level <complexType>s, or - elements that contain an "anonymous" (in-lined) <complexType>. -

-

- Classes will not be generated for elements whose type is a top-level - type. -

-

To change the "method" of class creation, please add the following property - definition to your custom builder configuration file:

-# Java class mapping of <xsd:element>'s and <xsd:complexType>'s
-#
-org.exolab.castor.builder.javaclassmapping=type

- Please note that setting this property will not affect class creation when the - defaultBindingType is explicitely used in a binding file. In that case, - the value set there will take precedence. -

2.3.3.5. Setting a super class

The source generator enables the user to set a super class to all the - generated classes (of course, class descriptors are not affected - by this option). Please note that, though the binding file, it is possible - to define a super class for individual classes

To set the global super class, please add the following property - definition to your custom builder configuration file:

-# This property allows one to specify the super class of *all*
-# generated classes
-#
-org.exolab.castor.builder.superclass=com.xyz.BaseObject

2.3.3.6. Mapping XML namespaces to Java packages

- An XML Schema instance is identified by a namespace. For data-binding purposes, - especially code generation it may be necessary to map namespaces to Java packages. -

- This is needed for imported schema in order for Castor to generate the - correct imports during code generation for the primary schema. -

To allow the mapping between namespaces and Java packages , edit the castorbuilder.properties file : -

-# XML namespace mapping to Java packages
-#
-#org.exolab.castor.builder.nspackages=\
-   http://www.xyz.com/schemas/project=com.xyz.schemas.project,\
-   http://www.xyz.com/schemas/person=com.xyz.schemas.person

-

2.3.3.7. Generate equals()/hashCode() method

Since version: 0.9.1

- The Source Generator can override the equals() - and hashCode() method for the generated objects. -

- To have equals() and hashCode() methods generated, - override the following property in your custom - castorbuilder.properties file: -

-# Set to true if you want to have an equals() and 
-# hashCode() method generated for each generated class;
-# false by default
-org.exolab.castor.builder.equalsmethod=true

2.3.3.8. Use CycleBreaker for generation of equals()/hashcode() methods.

Since version: 1.3.2

- Specifies whether cycle breaker code should be added to generated - methods equals() and hashcode(). -

-# Property specifying whether cycle breaker code should be added
-# to generated methods 'equals' and 'hashcode'. 
-#
-# Possible values:
-# - true (default)
-# - false
-#
-# <pre>
-# org.exolab.castor.builder.useCycleBreaker
-# </pre>
-org.exolab.castor.builder.useCycleBreaker=true

2.3.3.9. Maps java primitive types to wrapper object

Since version 0.9.4

- It may be convenient to use java objects instead of primitives, - the Source Generator provides a way to do it. Thus the following mapping can be used: -

  • boolean to java.lang.Boolean

  • byte to java.lang.Byte

  • double to java.lang.Double

  • float to java.lang.Float

  • int and integer to java.lang.Integer

  • long to java.lang.Long

  • short to java.lang.Short

-

To enable this property, edit the castor builder.properties file: -

-# Set to true if you want to use Object Wrappers instead
-# of primitives (e.g Float instead of float).
-# false by default.
-#org.exolab.castor.builder.primitivetowrapper=false

-

2.3.3.10. Automatic class name conflict resolution

Since version 1.1.1

With this property enabled, the XML code generator will use - a new automatic class name resolution mode that has special - logic implemented to automatically resolve class name conflicts.

This new mode deals with various class name conflicts where previously - a binding file had to be used to resolve these conflicts manually.

To enable this feature (turned off by default), please add the - following property definitio to your custom castorbuilder.properties - file:

-# Specifies whether automatic class name conflict resolution
-# should be used or not; defaults to false.
-#
-org.exolab.castor.builder.automaticConflictResolution=true

2.3.3.11. Extra collection methods

- Specifies whether extra (additional) methods - should be created for collection-style fields. Set this to true - if you want your code to be more compatible with Castor JDO (or other - persistence frameworks in general). -

- By setting this property to true, additional getter/setter methods - for the field in question, such as get/set by reference and set as copy methods, will - be added. In order to have these additional methods generated, please override the - following code generator property in a custom - castorbuilder.properties as shown: - -

-# Enables generation of extra methods for collection fields, such as get/set by
-# reference and set as copy.  Extra methods are in addition to the usual
-# collection get/set methods.  Set this to true if you want your code to be
-# more compatible  with Castor JDO.
-#
-# Possible values:
-# - false (default) 
-# - true
-org.exolab.castor.builder.extraCollectionMethods=true
-            

- -

2.3.3.12. Class printing

- As of release 1.2, Castor supports the use of Velocity-based code templates - for code generation. For the time being, Castor will support two modes - for code generation, i.e. the new Velocity-based and an old legacy mode. - Default will be the legacy mode; this will be changed with a - later release of Castor. -

- In order to use the new Velocity-based code generation, please - call the method setJClassPrinterType(String) on - org.exolab.castor.builder.SourceGenerator - with a value of velocity. -

- As we consider the code stable enough for a major release, we do encourage users - to use the new Velocity-based mode and to provide us with (valuable) feedback. -

- Please note that we have changed the mechanics of changing the JClass printing - type between releases 1.2 and 1.2.1. -

2.3.3.13. Extra documentation methods

- As of release 1.2, the Castor XML code generator - if configured as shown below - now - supports generation of additional methods to allow programmatic access to - <xs:documentation> elements for top-level type/element definitions as - follows: - -

-public java.lang.String getXmlSchemaDocumentation(final java.lang.String source);
-public java.util.Map getXmlSchemaDocumentations();

-

- In order to have these additional methods generated as shown above, - please override the following code generator property in a custom - castorbuilder.properties as shown: - -

-# Property specifying whether extra members/methods for extracting XML schema
-# documentation should be made available; defaults to false
-org.exolab.castor.builder.extraDocumentationMethods=true

- -

2.4. Custom bindings

- This section defines the Castor XML binding file and describes - based upon - the use of examples - how to use it. -

- The default binding used to generate the Java Object Model from an XML - schema may not meet your expectations. For instance, the default - binding doesn't deal with naming collisions that can appear because - XML Schema allows an element declaration and a complexType definition - to use the same name. The source generator will attempt to create two - Java classes with the same qualified name. However, the latter class - generated will simply overwrite the first one. -

- Another example of where the default source generator binding may not - meet your expectations is when you want to change the default datatype - binding provided by Castor or when you want to add validation rules by - implementing your own validator and passing it to the Source Generator. -

2.4.1. Binding File

- The binding declaration is an XML-based language that allows the user - to control and tweak details about source generation for the generated - classes. The aim of this section is to provide an overview of the - binding file and a definition of the several XML components used to - define this binding file. -

- A more in-depth presentation will be available soon in the - Source Generator - User Document (PDF). -

2.4.1.1. <binding> element

-<binding
-    defaultBindingType = (element|type)>
-    (include*,
-     package*,
-     namingXML?,
-     elementBinding*,
-     attributeBinding,
-     complexTypeBinding,
-     groupBinding)
-</binding>

- The binding element is the root element and contains the binding - information. -

Table 2.3. <column> - Definitions

NameDescriptionDefaultRequired ?
defaultBindingTypeControls the class creation mode - for details on the available modes. Please note that the mode - specified in this attribute will override the binding type specified - in the castorbuilder.properties file.elementNo

2.4.1.2. <include> element

-<include
-    URI = xsd:anyURI/>

- This element allows you to include a binding declaration defined in - another file. This allows reuse of binding files defined for various - XML schemas. -

Attributes of <include>

URI:

The URI of the binding file to include.

2.4.1.3. <package> element

-<package>
-    name = xsd:string
-    (namespace|schemaLocation) = xsd:string>
-</package>

Table 2.4. <package> - Definitions

NameDescription
nameA fully qualified java package name.
namespace - An XML namespace that will be mapped to the package name defined - by the name element. -
schemaLocation - A URL that locates the schema to be mapped to the package name - defined by the name element. -

- The targetNamespace attribute of an XML schema - identifies the namespace in which the XML schema elements are defined. This - language namespace is defined in the generated Java source as a package - declaration. The <package/> element allows you to define - the mapping between an XML namespace and a Java package. -

- Moreover, XML schema allows you to factor the definition of an XML - schema identified by a unique namespace by including several XML - schemas instances to build one XML schema using the - <xsd:include/> element. Please make sure you understand - the difference between <xsd:include/> and - <xsd:import/>. <xsd:include/> # - relies on the URI of the included XML schema. This element allows you to keep the - structure hierarchy defined in XML schema in a single generated Java - package. Thus the binding file allows you to define the mapping - between a schemaLocation attribute and a Java package. -

2.4.1.4. <namingXML> element

-<namingXML>
-   (elementName,complexTypeName,modelGroupName)
-</namingXML>
-
-<elementName|complexTypeName|modelGroupName>
-    (prefix?, suffix?) = xsd:string
-</elementName|complexTypeName|modelGroupName>

Table 2.5. <namingXML> - Definitions

NameDescription
prefixThe prefix to add to the names of the generated classes.
suffixThe suffix to append to the the names of the generated classes.

- One of the aims of the binding file is to avoid naming collisions. - Indeed, XML schema allows <element>s and <complexType>s to share the - same name, resulting in name collisions when generating sources. - Defining a binding for each element and complexType that share the - same name is not always a convenient solution (for instance the BPML - XML schema and the UDDI v2.0 XML schema use the same names for - top-level complexTypes and top-level elements). -

- The main aim of the <namingXML/> element is to define - default prefices and suffices for the names of the classes generated for an - <element>, a <complexType> or a model group definition. -

[Note]Note

- It is not possible to control the names of the classes - generated to represent nested model groups (all, choice, - and sequence). -

2.4.1.5. <componentBinding> element

-<elementBinding|attributeBinding|complexTypeBinding|groupBinding
-    name = xsd:string>
-   ((java-class|interface|member|contentMember),
-     elementBinding*,
-     attributeBinding*,
-     complexTypeBinding*,
-     groupBinding*)
-</elementBinding|attributeBinding|complexTypeBinding|groupBinding>

Table 2.6. <componentBinding> - Definitions

NameDescription
name - The name of the XML schema component for which we - are defining a binding. -

- These elements are the tenets of the binding file since they contain - the binding definition for an XML schema element, attribute, - complex type and model group definition. The first child element - (<java-class/>, <interface>, - <member> or <contentMember/>) - will determine the type of binding one is defining. Please note that - defining a <java-class> binding on an XML schema - attribute will have absolutely no effect. -

- The binding file is written from an XML schema point of view; there - are two distinct ways to define the XML schema component for which - we are defining a binding. -

  1. (XPath-style) name

  2. Embedded definitions

2.4.1.5.1. Name

- First we can define it through the name attribute. -

- The value of the name attribute uniquely identifies the XML schema - component. It can refer to the top-level component using the NCName - of that component or it can use a location language based on - XPath. The - grammar of that language can be defined by the following - BNF: -

-[1]Path         ::= '/'LocationPath('/'LocationPath)*
-[2]LocationPath ::= (Complex|ModelGroup|Attribute|Element|Enumeration)
-[3]Complex      ::= 'complexType:'(NCName)
-[4]ModelGroup   ::= 'group:'NCName
-[5]Attribute    ::= '@'NCName
-[6]Element      ::= NCName
-[7]Enumeration  ::= 'enumType':(NCName)
-                    

- Please note that all values for the name attribute - have to start with a '/'. -

2.4.1.5.2. Embedded definitions

- The second option to identify an XML schema component is to embed - its binding definition inside its parent binding definition. -

- Considering below XML schema fragment ... -

-<complexType name="fooType">
-    <sequence>
-        <element name="foo" type="string" />
-    </sequence>
-</complexType>

- the following binding definitions are equivalent and - identify the <element> foo defined in the top-level - <complexType> fooType. -

-<elementBinding name="/complexType:fooType/foo>
-   <member name="MyFoo" handler="mypackage.myHandler"/>
-</elementBinding>
-
-<complexTypeBinding name="/fooType">
-   <elementBinding name="/foo>
-      <member name="MyFoo" handler="mypackage.myHandler"/>
-   </elementBinding>
-<complexTypeBinding>

2.4.1.6. <java-class>

-<java-class
-    name? = xsd:string
-    package? = xsd:string
-    final? = xsd:boolean
-    abstract? = xsd:boolean
-    equals? = xsd:boolean
-    bound? = xsd:boolean
-    (implements*,extends?)
-</java-class>

- This element defines all the options for the class to be generated, - including common properties such as class name, package name, and - so on. -

Attributes of <java-class>

name:

The name of the class that will be generated.

package:

The package of the class to be generated. if set, - this option overrides the mapping defined in the - <package/> element.

final:

If true, the generated class will be final.

abstract:

If true, the generated class will be abstract.

equals:

If true, the generated class will implement the - equals() and hashCode() method.

bound:

If true, the generated class will implement bound - properties, allowing property change notification.

- For instance, the following binding definition instructs the source - generator to generate a class CustomTest for a global - element named 'test', replacing the default class name Test - with CustomTest. -

-<elementBinding name="/test">
-   <java-class name="CustomTest" final="true"/>
-</elementBinding>

- In addition to the properties listed above, it is possible to define - that the class generated will extend a class given and/or implement - one or more interfaces. -

- For instance, the following binding definition instructs the source - generator to generate a class TestWithInterface that - implements the interface org.castor.sample.SomeInterface in - addition to java.io.Serializable. -

-<elementBinding name="/test">
-   <java-class name="TestWithInterface">
-      <implements>org.castor.sample.SomeInterface</implements>
-   </java-class>
-</elementBinding>
-                 

- The subsequent binding definition instructs the source generator to - generate a class TestWithExtendsAndInterface that - implements the interface org.castor.sample.SomeInterface in - addition to java.io.Serializable, and extends from a - (probably abstract) base class SomeAbstractBaseClass. -

-<elementBinding name="/test">
-   <java-class name="TestWithExtendsAndInterface">
-      <extends>org.castor.sample.SomeAbstractBaseClass</extends>
-      <implements>org.castor.sample.SomeInterface</implements>
-   </java-class>
-</elementBinding>
-                 

- The generated class SomeAbstractBaseClass will have a class - signature as shown below: -

-...
-
-public class TestWithExtendsAndInterface
-   extends SomeAbstractBaseClass
-   implements SomeInterface, java.io.Serializable {
-   ...
-                 

2.4.1.7. <member> element

- <member
-  name? = xsd:string
-  java-type? = xsd:string
-  wrapper? = xsd:boolean
-  handler? = xsd:string
-  visibility? = (public|protected|private)
-  collection? = (array|vector|arraylist|hashtable|collection|odmg|set|map|sortedset)
-  validator? = xsd:string/>

- This element represents the binding for class member. It allows the - definition of its name and java type as well as a custom implementation of - FieldHandler to help the Marshaling framework in handling that - member. Defining a validator is also possible. The names given for - the validator and the fieldHandler must be fully qualified. -

Table 2.7. <member> - Definitions

NameDescription
name - The name of the class member that will be - generated. -
java-typeFully qualified name of the java type.
wrapper - If true, a wrapper object will be generated in - case the Java type is a java primitive. -
handler - Fully qualified name of the custom FieldHandler to - use. -
collection - If the schema component can occur more than - once then this attribute allows specifying the collection to use - to represent the component in Java. -
validator - Fully qualified name of the FieldValidator - to use. -
visibility - A custom visibility of the content class member generated, - with the default being public. -

- For instance, the following binding definition: -

-<elementBinding name="/root/members">
-   <member collection="set"/>
-</elementBinding>

- instructs the source generator to generate -- within a class - Root -- a Java member named - members using the - collection type java.util.Set instead of the default - java.util.List: -

-         public class Root {
-         
-            private java.util.Set members;
-         
-            ...
-         
-         }

- The following (slightly amended) binding element: -

-<elementBinding name="/root/members">
-   <member name="memberSet" collection="set"/>
-</elementBinding>

- instructs the source generator to generate -- again within a class - Root -- a Java member named - memberSet (of the same - collection type as in the previous example), overriding the name of - the member as specified in the XML schema: -

-public class Root {
-
-   private java.util.Set memberSet;
-
-   ...
-
-}

2.4.1.8. <contentMember> element

-          <contentMember
-           name? = xsd:string
-           visiblity? = (public|protected|private)

- This element represents the binding for content - class member generated as a result of a mixed mode declaration of a - complex type definition. It allows the definition of its name and - its visibility -

name:

The name of the class member that will be - generated, overriding the default name of -_content.

visibility:

A custom visibility of the content class member generated, with - the default being -public.

- For a complex type definition declared to be mixed - such as follows ... -

-<complexType name="RootType" mixed="true">
-   <sequence>
-      ...
-   >/sequence>
->/complexType>

... the following binding definition ...

-<elementBinding name="/complexType:RootType">
-   <contentMember name="customContentMember"/>
-</elementBinding>

- instructs the source generator to generate -- within a class - RootType -- a Java member named - customContentMember of type - java.lang.String: -

-public class RootType {
-
-   private java.util.String customContentMember;
-
-   ...
-}

2.4.1.9. <enumBinding> element

-<enumBinding>
-   (enumDef)
-</enumBinding>
-
-<enumDef>
-   (enumClassName = xsd:string, enumMember*)
-</enumDef>
-
-<enumMember>
-   (name = xsd:string, value = xsd:string)
-</enumMember>

- The <enumBinding> element allows more control on the - code generated for type-safe enumerations, which are used to - represent an XML Schema <simpleType> enumeration. -

- For instance, given the following XML schema enumeration definition: -

-<xs:simpleType name="durationUnitType">
-  <xs:restriction base='xs:string'>
-    <xs:enumeration value='Y' />
-    <xs:enumeration value='M' />
-    <xs:enumeration value='D' />
-    <xs:enumeration value='h' />
-    <xs:enumeration value='m' />
-    <xs:enumeration value='s' />
-  </xs:restriction>
-</simpleType>

- the Castor code generator would generate code where the default - naming convention used during the generation would overwrite the - first constant definition for value 'M' with the one - generated for value 'm'. -

- The following binding definition defines -- through the means of - an <enumMember> definition for the enumeration - value 'M' -- a special binding for this value: -

-<enumBinding name="/enumType:durationUnitType">
-  <enum-def>
-    <enumMember>
-      <value>M</value>
-      <javaName>CUSTOM_M</javaName>
-    </enumMember>
-  </enum-def>
-</enumBinding>

- and instructs the source generator to generate -- within a class - DurationUnitType -- a constant definition named - CUSTOM_M for the enumeration value M. -

2.4.1.10. Not implemented yet

2.4.1.10.1. <javadoc>

- The <javadoc> element allows one to enter the - necessary JavaDoc representing the generated classes or members. -

2.4.1.10.2. <interface> element
-<interface>
-  name = xsd:string
-</interface>
  • name:The name of the interface to generate.

- This element specifies the name of the interface to be generated - for an XML schema component. -

2.4.2. Class generation conflicts

As mentioned previously, you use a binding file for two main reasons:

  • - To customize the Java code generated -

  • To avoid class generation conflicts.

- For the latter case, you'll (often) notice such collisions by looking at - generated Java code that frequently does not compile. Whilst this is relatively - easy for small(ish) XML schema(s), this task gets tedious for more elaborate - XML schemas. To ease your life in the context of this 'collision detection', - the Castor XML code generator provides you with a few advanced features. The - following sections cover these features in detail. -

2.4.2.1. Collision reporting

- During code generation, the Castor XML code generator will run into - situations where a class (about to be generated, and as such about to be - written to the file system) will overwrite an already existing class. This, - for example, is the case if within one XML schema there's two (local) - element definitions within separate complex type definitions with the same - name. In such a case, Castor will emit warning messages that inform the - user that a class will be overwritten. -

- As of release 1.1, the Castor XML code generator supports two - reporting modes that allow different levels of control in the event - of such collisions, warnViaConsoleDialog and informViaLog - mode. -

Table 2.8. <column> - Definitions

ModeDescriptionSince
warnViaConsoleDialogEmits warning messages to stdout and ask the - users whether to continue.0.9
informViaLogEmits warning messages only via the standard logger.1.1

- Please select the reporting mode of your choice according to your needs, the - default being warnViaConsoleDialog. Please note that the - informViaLog reporting mode should be the preferred choice - when using the XML code generator in an automated environment. -

- In general, the warning messages produced are very useful in assisting - you in your creation of the binding file, as shown in below example - for the warnViaConsoleDialog mode: -

- Warning: A class name generation conflict has occurred between element
-         '/Data/OrderReceipt/LineItem' and element '/Data/PurchaseOrder/LineItem'.
-         Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
- Warning: A class name generation conflict has occurred between element
-         '/Data/OrderReceipt/LineItem' and element '/Data/PurchaseOrder/LineItem'.
-         Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
- Warning: A class name generation conflict has occurred between element
-         '/Data/OrderReceipt/LineItem' and element '/Data/PurchaseOrder/LineItem'.
-         Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
- Warning: A class name generation conflict has occurred between element
-         'complexType:ReceiptLineItemType/Sku' and element 'complexType:LineItemType/Sku'.
-         Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
- Warning: A class name generation conflict has occurred between element
-         'complexType:ReceiptLineItemType/Sku' and element 'complexType:LineItemType/Sku'.
-         Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
- Warning: A class name generation conflict has occurred between element
-         'complexType:ReceiptLineItemType/Sku' and element 'complexType:LineItemType/Sku'.
-         Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
-                         
2.4.2.1.1. Reporting mode 'warnViaConsoleDialog'

- As already mentioned, this mode emits warning messages to stdout, and - asks you whether you want to continue with the code generation or not. This - allows for very fine grained control over the extent of the code generation. -

- Please note that there is several setter methods on the - org.exolab.castor.builder.SourceGenerator that allow you to fine-tune - various settings for this reporting mode. Genuinely, we believe that for - automated code generation through either Ant or Maven, the new informViaLog - is better suited for these needs. -

2.4.2.2. Automatic collision resolution

- As of Castor 1.1.1, support has been added to the Castor XML code generator - for a (nearly) automatic conflict resolution. To enable this new mode, - please override the following property in your custom property file - as shown below: -

- # Specifies whether automatic class name conflict resolution
- # should be used or not; defaults to false.
- #
- org.exolab.castor.builder.automaticConflictResolution=true

- As a result of enabling automatic conflict resolution, Castor will try - to resolve such name collisions automatically, using one of the following - two strategies: -

Table 2.9. <column> - Definitions

NameDescriptionSinceDefault
xpathPrepends an XPATH fragment to make the suggested Java name unique.1.1.1Yes
typeAppends type information to the suggested Java name.1.1.1No

2.4.2.2.1. Selecting the strategy

- For selecting one of the two strategies during XML code - generation, please see the documentation for the following - code artifacts:

- In order to explain the modus operandi of these two modes, please - assume two complex type definitions AType and BType - in an XML schema, with both of them defining a local element named c.

-<xs:complexType name="AType">
-    <xs:sequence>
-        <xs:element name="c" type="CType1" />
-    </xs:sequence>
-</xs:complexType>            
-
-<xs:complexType name="BType">
-    <xs:sequence>
-        <xs:element name="c" type="CType2" />
-    </xs:sequence>
-</xs:complexType>

- Without automatic collision resolution enabled, Castor will create - identically named classes C.java for both members, and one - will overwrite the other. Please note the different types for the - two c element definitions, which requires two class files to be - generated in order not to lose this information. -

2.4.2.2.2. 'XPATH' strategy

- This strategy will prepend an XPATH fragment to the default Java name - as derived during code generation, the default name (frequently) being the name - of the XML schema artifact, e.g. the element name of the complex type name. The - XPATH fragment being prepended is minimal in the sense that the resulting - rooted XPATH is unique for the XML schema artifact being processed. -

- With automatic collision resolution enabled and the strategy 'XPATH' - selected, Castor will create the following two classes, simply prepending - the name of the complex type to the default element name: -

  • ATypeC.java

  • BTypeC.java

2.4.2.2.3. 'TYPE' strategy

- This strategy will append 'type' information to the default Java name - as derived during code generation, the default name (frequently) being the name - of the XML schema artifact, e.g. the element name of the complex type name. -

- With automatic collision resolution enabled and - the strategy 'TYPE' selected, Castor will create the following two - classes, simply appending the name of the complex type to the default - element name (with a default 'By' inserted): -

  • CByCType1.java

  • CByCType2.java

- To override the default 'By' inserted between the default - element name and the type information, please override the following - property in your custom property file as shown below: -

-# Property specifying the 'string' used in type strategy to be inserted 
-# between the actual element name and the type name (during automatic class name 
-# conflict resolution); defaults to 'By'.
-org.exolab.castor.builder.automaticConflictResolutionTypeSuffix=ByBy
2.4.2.2.4. Conflicts covered

- The Castor XML code generator, with automatic collision resolution - enabled, is capable of resolving the following collisions - automatically: -

  • Name of local element definition same as name of a global element

  • Name of local element definition same as name of another local element definition.

[Note]Note

- Please note that collision resolution for a local to local collision - will only take place for the second local element definition encountered (and - subsequent ones). -

2.5. Invoking the XML code generator

2.5.1. Ant task

- An alternative to using the command line as shown in the previous section, - the Castor Source Generator Ant Task can be used to call the source - generator for class generation. The only requirement is that the - castor-<version>-codegen-antask.jar must additionally be on - the CLASSPATH. -

2.5.1.1. Specifying the source for generation

- As shown in the subsequent table, there's multiple ways of specifying the input - for the Castor code generator. At least one input source - has to be specified. -

Table 2.10. <column> - Definitions

AttributeDescriptionRequiredSince
fileThe XML schema, to be used as input for the source code generator.No. -
dirSets a directory such that all XML schemas in this directory will have - code generated for them.No -
schemaURLURL to an XML schema, to be used as input for the source code generator.No.1.2

- In addition, a nested <fileset> can be specified as the source of input. - Please refer to the samples shown below. -

2.5.1.2. Parameters

- Please find below the complete list of parameters that can be set on the Castor - source generator to fine-tune the execution behavior. -

Table 2.11. Ant task properties

AttributeDescriptionRequiredSince
packageThe default package to be used during source code generation.No; if not given, all classes will be placed in the root package.-
todirThe destination directory to be used during source code generation. In - this directory all generated Java classes will be placed.No-
bindingfileA Castor source generator binding file.No-
lineseparatorDefines whether to use Unix- or Windows- or Mac-style line separators during source code generation. Possible values are: 'unix', 'win' or 'mac'.No; if not set, system property 'line.separator' is used instead.-
typesDefines what collection types to use (Java 1 vs. Java 2). Possible values: 'vector', 'arraylist' (aka 'j2') or 'odmg'.No; if not set, the default collection used will be Java 1 type-
verboseWhether to output any logging messages as emitted by the source generatorNo-
warningsWhether to suppress any warnings as otherwise emitted by the source generatorNo-
nodescIf used, instructs the source generator not to generate *Descriptor classes.No-
generateMappingIf used, instructs the source generator to (additionally) generate a mapping - file.No-
nomarshalIf specified, instructs the source generator not to create (un)marshalling - methods within the Java classes generated.No-
caseInsensitiveIf used, instructs the source generator to generate code for enumerated type - lookup in a case insensitive manner.No-
sax1If used, instructs the source generator to generate SAX-1 compliant code.No-
generateImportedSchemasIf used, instructs the source generator to generate code for imported - schemas as well.No-
nameConflictStrategyIf used, sets the name conflict strategy to use during XML code generation; - possible values are 'warnViaConsoleDialog' and - 'informViaLog'.No-
propertiesLocation of file defining a set of properties to be used during source code - generation. This overrides the default mechanisms of configuring the source - generator through a castorbuilder.properties (that has to be - placed on the CLASSPATH)No-
automaticConflictStrategyIf used, sets the name conflict resolution strategy used during XML - code generation; possible values are 'type' and 'xpath' - (default being 'xpath').No-
jClassPrinterTypeSets the mode for printing JClass instances during XML - code generation; possible values are 'standard' and 'velocity' - (default being 'standard').No1.2.1
generateJdoDescriptorsIf used, instructs the source generator to generate JDO class - descriptors as well; default is false.No1.3
resourceDestination - Sets the destination directory for (generated) resources, - e.g. .castor.cdr files. - No1.3.1

2.5.1.3. Examples

2.5.1.3.1. Using a file

- Below is an example of how to use this task from within an Ant target - definition named 'castor:gen:src': -

-<target name="castor:gen:src" depends="init"
-         description="Generate Java source files from XSD.">
-
-    <taskdef name="castor-srcgen"
-             classname="org.castor.anttask.CastorCodeGenTask"
-             classpathref="castor.class.path" />
-    <mkdir dir="generated" />
-    <castor-srcgen file="src/schema/sample.xsd"
-                   todir="generated-source"
-                   package="org.castor.example.schema"
-                   types="j2"
-                   warnings="true" />
-</target>
-            
2.5.1.3.2. Using an URL

- Below is the same sample as above, this time using the url attribute - as the source of input instead: -

-<target name="castor:gen:src" depends="init"
-         description="Generate Java source files from XSD.">
-
-    <taskdef name="castor-srcgen"
-             classname="org.castor.anttask.CastorCodeGenTask"
-             classpathref="castor.class.path" />
-    <mkdir dir="generated" />
-    <castor-srcgen schemaURL="http://some.domain/some/path/sample.xsd"
-                   todir="generated-source"
-                   package="org.castor.example.schema"
-                   types="j2"
-                   warnings="true" />
-</target>
-            
2.5.1.3.3. Using a nested <fileset>

- Below is the same sample as above, this time using the url attribute - as the source of input instead: -

-<target name="castor:gen:src" depends="init"
-         description="Generate Java source files from XSD.">
-
-    <taskdef name="castor-srcgen"
-             classname="org.castor.anttask.CastorCodeGenTask"
-             classpathref="castor.class.path" />
-    <mkdir dir="generated" />
-    <castor-srcgen todir="generated-source"
-                   package="org.castor.example.schema"
-                   types="j2"
-                   warnings="true" >
-       <fileset dir="${basedir}/src/schema">
-          <include name="**/*.xsd"/>
-       </fileset>
-    </castor-srcgen>
-</target>
-            

2.5.2. Maven 2 plugin

- For those of you working with Maven 2 instead of Ant, the Maven 2 plugin for Castor - can be used to integrate source code generation from XML schemas with the Castor XML - code generator as part of the standard Maven build life-cycle. The following sections - show how to configure the Maven 2 Castor plugin and hwo to instruct Maven 2 - to generate sources from your XML schemas. -

2.5.2.1. Configuration

To be able to start source code generation from XML schema from within Maven, - you will have to configure the Maven 2 Castor plugin as follows:

-<plugin>
-   <groupId>org.codehaus.mojo</groupId>
-   <artifactId>castor-maven-plugin</artifactId>
-   <version>2.0</version>
-</plugin>
-

Above configuration will trigger source generation using the default - values as explained at the - Castor plugin page, - assuming that the XML schema(s) are located at src/main/castor, and code will - be saved at target/generated-sources/castor. When generating sources - for multiple schemas at the same time, you can put namespace to - package mappings into src/main/castor/castorbuilder.properties.

To e.g. change some of these default locations, please add a - <configuration> section to the plugin configuration as - follows:

-<plugin>
-   <groupId>org.codehaus.mojo</groupId>
-   <artifactId>castor-maven-plugin</artifactId>
-   <version>2.0</version>
-   <configuration>
-      <schema>src/main/resources/org/exolab/castor/builder/binding/binding.xsd</schema>
-      <packaging>org.exolab.castor.builder.binding</packaging>
-      <properties>src/main/resources/org/exolab/castor/builder/binding.generation.properties</properties>
-   </configuration>
- </plugin>      
-

- Details on the available configuration properties can be found - here. -

By default, the Maven Castor plugin has been built and tested against - a particular version of Castor. To switch to a newer version of Castor (not the - plugin itself), please use a <dependencies> section as shown below - to point the plugin to e.g. a newer version of Castor:

-<plugin>
-   <groupId>org.codehaus.mojo</groupId>
-   <artifactId>castor-maven-plugin</artifactId>
-   <version>2.0</version>
-   <dependencies>
-     <dependency> 
-       <groupId>org.codehaus.castor</groupId>
-       <artifactId>castor</artifactId>
-       <version>1.3.1-SNAPSHOT</version>
-     </dependency>
-   </dependencies>
- </plugin>      
-

2.5.2.2. Integration into build life-cycle

To integrate source code generation from XML schema into your standard - build life-cycle, you will have to add an <executions> section - to your standard plugin configuration as follows:

-<plugin>
-   <groupId>org.codehaus.mojo</groupId>
-   <artifactId>castor-maven-plugin</artifactId>
-   <version>2.0</version>
-   <executions>
-      <execution>
-         <goals>
-            <goal>generate</goal>
-         </goals>
-      </execution>
-   </executions>            
-</plugin>       
-

2.5.2.3. Example

Below command shows how to instruct Maven (manually) to generate Java sources - from the XML schemas as configured above.

-> mvn castor:generate

2.5.3. Command line

2.5.3.1. First steps

-java org.exolab.castor.builder.SourceGeneratorMain -i foo-schema.xsd \
-    -package com.xyz
-            

- This will generate a set of source files from the the XML Schema - foo-schema.xsd and place them in the package - com.xyz. -

- To compile the generated classes, simply run javac or your favorite - compiler: -

-javac com/xyz/*.java

- Created class will have marshal and - unmarshal methods which are used to - go back and forth between XML and an Object instance. -

2.5.3.2. Source Generator - command line options

- The source code generator has a number of different options which may - be set. Some of these are done using the command line and others are - done using a properties file located by default at - org/exolab/castor/builder/castorbuilder.properties. -

2.5.3.2.1. Specifying the input source

- There's more than one way of specifying the input for the Castor code - generator. At least one input source must be specified. -

Table 2.12. Input sources

OptionArgsDescriptionVersion
ifilenameThe input XML Schema file -
isURLURL of an XML Schema1.2 and newer

2.5.3.2.2. Other command Line Options

Table 2.13. Other command line options

OptionArgumentsDescriptionOptional?
-packagepackage-nameThe package for the generated source.Optional
-destpath - The destination directory in which to create the generated source - Optional
-line-separatorunix | mac | win - Sets the line separator style for the desired platform. This is - useful if you are generating source on one platform, but will - be compiling/modifying on another platform. - Optional
-typestype-factory - Sets which type factory to use. This is useful if you want JDK - 1.2 collections instead of JDK 1.1 or if you want to pass in your - own FieldInfoFactory (see Section 2.5.3.2.2.1, “Collection Types”). - Optional
-h Shows the help/usage information.Optional
-f  - Forces the source generator to suppress all non-fatal errors, - such as overwriting pre-existing files.Optional
-nodesc Do not generate the class descriptorsOptional
-gen-mapping (Additionally) Generate a mapping file.Optional
-nomarshall  - Do not generate the marshaling framework methods (marshal, - unmarshal, validate)Optional
-testable  - Generate the extra methods used by the CTF (Castor Testing - Framework) - Optional
-sax1  - Generate marshaling methods that use the SAX1 framework - (default is false). - Optional
-binding-file<<binding file name>>. - Configures the use of a Binding File to allow finely-grained - control of the generated classes - Optional
-generateImportedSchemas  - Generates sources for imported XML Schemas in addition to the - schema provided on the command line (default is false). - Optional
-case-insensitive  - The generated classes will use a case insensitive method for - looking up enumerated type values. - Optional
-verbose Enables extra diagnostic output from the source generatorOptional
-nameConflictStrategy<<conflict strategy name>>Sets the name conflict strategy to use during XML code generationOptional
-fail  - Instructs the source generator to fail on the first error. When - you are trying to figure out what is failing during source - generation, this option will help. - Optional
-classPrinter<<JClass printing mode>>.Specifies the JClass printing mode to use during XML code generation; possible - values arestandard (default) and velocity; if no value - is specified, the default mode is standard.Optional
-gen-jdo-desc (Additionally) generate JDO class descriptors.Optional
-resourcesDestination<destination>An (optional) destination for (generated) resourcesOptional

2.5.3.2.2.1. Collection Types

- The source code generator has the ability to use the following - types of collections when generating source code, using the - -type option: -

Table 2.14. Collection types

Option valueTypeDefault
-types j1Java 1.1java.util.Vector
-type j2Java 1.2java.util.Collection
-types odmgODMG 3.0odmg.DArray

- The Java class name shown in above table indicates the default - collection type that will be emitted during generation. -

- You can also write your own FieldInfoFactory to handle specific - collection types. All you have to do is to pass in the fully - qualified name of that FieldInfoFactory as follows: -

-types com.personal.MyCoolFactory
[Tip]Tip
- For additional information about the Source Generator and its options, - you can download the Source Generator - User Document (PDF). Please note that the use of a - binding file is not dicussed in that document. -

2.6. XML schema support

- Castor XML supports the W3C - XML Schema 1.0 Second Edition Recommendation document (10/28/2004) - The Schema Object Model (located in the package - org.exolab.castor.xml.schema) - provides an in-memory representation of a given XML schema whereas the - XML code generator provides a binding - between XML schema data types and structures into the corresponding ones - in Java. -

- The Castor Schema Object Model can read - (org.exolab.castor.xml.schema.reader) - and write - (org.exolab.castor.xml.schema.writer) - an XML Schema as defined by the W3C recommandation. It allows you to - create and manipulate an in-memory view of an XML Schema. -

- The Castor Schema Object Model supports the W3C XML Schema - recommendation with no limitation. However the Source Generator does - currently not offer a one to one mapping from an XML Schema component - to a Java component for every XML Schema components; some limitations - exist. The aim of the following sections is to provide a list of - supported features in the Source Generator. Please keep in mind that - the Castor Schema Object Model again can handle any XML Schema without - limitations. -

- Some Schema types do not have a corresponding type in Java. Thus the - Source Generator uses Castor implementation of these specific types - (located in the org.exolab.castor.types package). - For instance the duration type is implemented directly in - Castor. Remember that the representation of XML Schema datatypes does - not try to fit the W3C XML Schema specifications exactly. The aim is to - map an XML Schema type to the Java type that is the best fit to the XML - Schema type. -

- You will find next a list of the supported XML Schema data types and - structures in the Source Code Generator. For a more detailed support of - XML Schema structure and more information on the Schema Object Model, - please refer to - Source Generator - User Document (PDF). -

2.6.1. Supported XML Schema Built-in Datatypes

- The following is a list of the supported datatypes with the - corresponding facets and the Java mapping type. -

2.6.1.1. Primitive Datatypes

Table 2.15. Supported primitive data types

XML Schema TypeSupported FacetsJava mapping type
anyURIenumerationjava.lang.String
base64Binary byte[]
booleanpattern - boolean or java.lang.Boolean[a] -
dateenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.Date
dateTimeenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b] - java.util.Date
decimal - totalDigits, fractionDigits, pattern, whiteSpace, enumeration, maxInclusive, - maxExclusive, minInclusive, minExclusive, whitespace[b] - java.math.BigDecimal
doubleenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b] - double or java.lang.Double[c] -
durationenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.Duration
floatenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b] - float or java.lang.Float[c] -
gDayenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.GDay
gMonthenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.GMonth
gMonthDayenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.GMonthDay
gYearenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.GYear
gYearMonthenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.GYearMonth
hexBinary byte[]
QNamelength, minLength, maxLength, pattern, enumerationjava.lang.String
stringlength, minLength, maxLength, pattern, enumeration, whiteSpacejava.lang.String
timeenumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, pattern, whitespace[b]org.exolab.castor.types.Time

[a] For the various numerical types, the - default behavior is to generate primitive types. However, if the - use of wrappers is enabled by the following line in the - castorbuilder.properties file: - org.exolab.castor.builder.primitivetowrapper=true then - the java.lang.* wrapper objects (as specified above) will be - used instead. -

[b] - For the date/time and numeric types, the only supported value for whitespace - is "collapse". -


2.6.1.2. Derived Datatypes

Table 2.16. Supported derived data types

TypeSupported FacetsJava mapping type
bytetotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, - minExclusive, whitespace[b] - - byte/java.lang.Byte - [c] -
ENTITY Not implemented
ENTITIES Not implemented
IDenumerationjava.lang.String
IDREF java.lang.Object
IDREFS java.util.Vector of java.lang.Object
inttotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - int/java.lang.Integer[c] -
integertotalDigits, fractionDigits[a], pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, whitespace[b] - long/java.lang.Long[c] -
languagelength, minLength, maxLength, pattern, enumeration, whiteSpace - treated as a xsd:string[d] -
longtotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - long/java.lang.Long[c] -
Name Not implemented
NCNameenumerationjava.lang.String
negativeIntegertotalDigits, fractionDigits[], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - long/java.lang.Long[c] -
NMTOKENenumeration, length, maxlength, minlengthjava.lang.String
NMTOKENS java.util.Vector of java.lang.String
NOTATION Not implemented
nonNegativeIntegertotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - long/java.lang.Long[c] -
nonPositiveIntegertotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - long/java.lang.Long[c] -
normalizedStringenumeration, length, minLength, maxLength, patternjava.lang.String
positiveIntegertotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - - long/java.lang.Long[c] -
shorttotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - - short/java.lang.Short[c] -
tokenlength, minLength, maxLength, pattern, enumeration, whiteSpace - treated as a xsd:string[d], -
unsignedBytetotalDigits, fractionDigits[a], - maxExclusive, minExclusive, maxInclusive, minInclusive, pattern, - whitespace[b] - - short/java.lang.Short[c] -
unsignedInttotalDigits, fractionDigits[a], - maxExclusive, minExclusive, maxInclusive, minInclusive, pattern, - whitespace[b] - - long/java.lang.Long[c] -
unsignedLongtotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - java.math.BigInteger
unsignedShorttotalDigits, fractionDigits[a], - pattern, enumeration, maxInclusive, maxExclusive, minInclusive, minExclusive, - whitespace[b] - - int or java.lang.Integer[c] -

[a] For - the integral types, the only allowed value for fractionDigits is 0.

[b] - For the date/time and numeric types, the only supported value for whitespace - is "collapse". -

[c] For the various numerical types, the - default behavior is to generate primitive types. However, if the - use of wrappers is enabled by the following line in the - castorbuilder.properties file: - org.exolab.castor.builder.primitivetowrapper=true then - the java.lang.* wrapper objects (as specified above) will be - generated instead.

[d] - Currently, <xsd:language> and - <xsd:token> are treated as if they - were <xsd:string>. -


2.6.2. Supported XML Schema Structures

- Supporting XML schema structures is a constant work. The main - structures are already supported with some limitations. The - following will give you a rough list of the supported structures. For a - more detailed support of XML Schema structure in the Source Generator or - in the Schema Object Model, please refer to - Source Generator - User Document (PDF). -

Supported schema components:

  • Attribute declaration (<attribute>)

  • Element declaration (<element>)

  • Complex type definition (<complexType>)

  • Attribute group definition (<attributeGroup>)

  • Model group definition (<group>)

  • Model group (<all>, <choice> and <sequence>)

  • Annotation (<annotation>)

  • Wildcard (<any>)

  • Simple type definition (<simpleType>)

2.6.2.1. Groups

- Grouping support covers both model group definitions - (<group>) and model groups - (<all>, <choice> and - <sequence>). In this section - we will label as a 'nested group' any model group whose first parent - is another model group. -

  • - For each top-level model group definition, a class is generated - either when using the 'element' mapping property or the 'type' one. -

  • - If a group -- nested or not -- appears to have maxOccurs > 1 - , then a class is generated to represent the items contained in the group. -

  • - For each nested group, a class is generated. The name of the - generated class will follow this naming convention: - Name,Compositor+,Counter? where -

    • - 'Name' is name of the top-level component (element, complexType or group). -

    • - 'Compositor' is the compositor of the nested group. For - instance, if a 'choice' is nested inside a sequence, the value - of Compositor will be SequenceChoice ('Sequence'+'Choice'). - Note: if the 'choice' is inside a Model Group and that Model - Group parent is a Model Group Definition or a - complexType then the value of'Compositor' will be only 'Choice'. -

    • 'Counter' is a number that prevents naming collision.

    -

2.6.2.2. Wildcard

- <any> is supported and will be mapped to an - AnyNode instance. However, full namespace - validation is not yet implemented, even though an AnyNode - structure is fully namespace aware. -

- <anyAttribute> is currently not supported. It is a - work in progress. -

2.7. Examples

- In this section we illustrate the use of the XML code generator by - discussing the classes generated from given XML schemas. The XML code - generator is going to be used with the “java class mapping” property - set to element (default value). -

2.7.1. The invoice XML schema

2.7.1.1. The schema file

The input file is the schema file given with the XML code generator - example in the distribution of Castor - (under /src/examples/SourceGenerator/invoice.xsd).

-<?xml version="1.0"?>
-<xsd:schema xmlns:xsd="http://www.w3.org/2001/XMLSchema"
-    targetNamespace="http://castor.exolab.org/Test/Invoice">
-
-    <xsd:annotation>
-        <xsd:documentation>
-            This is a test XML Schema for Castor XML.
-        </xsd:documentation>
-    </xsd:annotation>
-
-    <!--
-        A simple representation of an invoice. This is simply an example
-        and not meant to be an exact or even complete representation of an invoice.
-    -->
-    <xsd:element name="invoice">
-        <xsd:annotation>
-            <xsd:documentation>
-                A simple representation of an invoice
-            </xsd:documentation>
-        </xsd:annotation>
-
-        <xsd:complexType>
-            <xsd:sequence>
-                <xsd:element name="ship-to">
-                    <xsd:complexType>
-                        <xsd:group ref="customer" />
-                    </xsd:complexType>
-                </xsd:element>
-                <xsd:element ref="item"
-                    maxOccurs="unbounded" minOccurs="1" />
-                <xsd:element ref="shipping-method" />
-                <xsd:element ref="shipping-date" />
-            </xsd:sequence>
-        </xsd:complexType>
-    </xsd:element>
-
-    <!-- Description of a customer -->
-    <xsd:group name="customer">
-        <xsd:sequence>
-            <xsd:element name="name" type="xsd:string" />
-            <xsd:element ref="address" />
-            <xsd:element name="phone"
-                type="TelephoneNumberType" />
-        </xsd:sequence>
-    </xsd:group>
-
-    <!-- Description of an item -->
-    <xsd:element name="item">
-        <xsd:complexType>
-            <xsd:sequence>
-                <xsd:element name="Quantity"
-                    type="xsd:integer" minOccurs="1" maxOccurs="1" />
-                <xsd:element name="Price" type="PriceType"
-                    minOccurs="1" maxOccurs="1" />
-            </xsd:sequence>
-            <xsd:attributeGroup ref="ItemAttributes" />
-        </xsd:complexType>
-    </xsd:element>
-
-    <!-- Shipping Method -->
-    <xsd:element name="shipping-method">
-        <xsd:complexType>
-            <xsd:sequence>
-                <xsd:element name="carrier"
-                    type="xsd:string" />
-                <xsd:element name="option"
-                    type="xsd:string" />
-                <xsd:element name="estimated-delivery"
-                    type="xsd:duration" />
-            </xsd:sequence>
-        </xsd:complexType>
-    </xsd:element>
-
-    <!-- Shipping date -->
-    <xsd:element name="shipping-date">
-        <xsd:complexType>
-            <xsd:sequence>
-                <xsd:element name="date" type="xsd:date" />
-                <xsd:element name="time" type="xsd:time" />
-            </xsd:sequence>
-        </xsd:complexType>
-    </xsd:element>
-
-    <!-- A simple U.S. based Address structure -->
-    <xsd:element name="address">
-        <xsd:annotation>
-            <xsd:documentation>
-                Represents a U.S. Address
-            </xsd:documentation>
-        </xsd:annotation>
-
-        <xsd:complexType>
-            <xsd:sequence>
-                <!-- street address 1 -->
-                <xsd:element name="street1"
-                    type="xsd:string" />
-                <!-- optional street address 2 -->
-                <xsd:element name="street2"
-                    type="xsd:string" minOccurs="0" />
-                <!-- city-->
-                <xsd:element name="city" type="xsd:string" />
-                <!-- state code -->
-                <xsd:element name="state"
-                    type="stateCodeType" />
-                <!-- zip-code -->
-                <xsd:element ref="zip-code" />
-            </xsd:sequence>
-        </xsd:complexType>
-    </xsd:element>
-
-    <!-- A U.S. Zip Code -->
-    <xsd:element name="zip-code">
-        <xsd:simpleType>
-            <xsd:restriction base="xsd:string">
-                <xsd:pattern value="[0-9]{5}(-[0-9]{4})?" />
-            </xsd:restriction>
-        </xsd:simpleType>
-    </xsd:element>
-
-    <!-- State Code
-        obviously not a valid state code....but this is just
-        an example and I don't feel like creating all the valid
-        ones.
-    -->
-    <xsd:simpleType name="stateCodeType">
-        <xsd:restriction base="xsd:string">
-            <xsd:pattern value="[A-Z]{2}" />
-        </xsd:restriction>
-    </xsd:simpleType>
-
-    <!-- Telephone Number -->
-    <xsd:simpleType name="TelephoneNumberType">
-        <xsd:restriction base="xsd:string">
-            <xsd:length value="12" />
-            <xsd:pattern value="[0-9]{3}-[0-9]{3}-[0-9]{4}" />
-        </xsd:restriction>
-    </xsd:simpleType>
-
-    <!-- Cool price type -->
-    <xsd:simpleType name="PriceType">
-        <xsd:restriction base="xsd:decimal">
-            <xsd:fractionDigits value="2" />
-            <xsd:totalDigits value="5" />
-            <xsd:minInclusive value="1" />
-            <xsd:maxInclusive value="100" />
-        </xsd:restriction>
-    </xsd:simpleType>
-
-    <!-- The attributes for an Item -->
-    <xsd:attributeGroup name="ItemAttributes">
-        <xsd:attribute name="Id" type="xsd:ID" minOccurs="1"
-            maxOccurs="1" />
-        <xsd:attribute name="InStock" type="xsd:boolean"
-            default="false" />
-        <xsd:attribute name="Category" type="xsd:string"
-            use="required" />
-    </xsd:attributeGroup>
-</xsd:schema>

The structure of this schema is simple: it is composed of a - top-level element which is a complexType with references to - other elements inside. This schema represents a simple - invoice: an invoice is a customer (customer top-level - group), an article (item element), a shipping method - (shipping-method element) and a shipping date - (shipping-date element). Notice that the ship-to element - uses a reference to an address element. This address - element is a top-level element that contains a reference to - a non-top-level element (the zip-cod element). At the end - of the schema we have two simpleTypes for representing a - telephone number and a price. The Source Generator is used - with the element property set for class creation - so a class is going to be generated for all top-level elements. No classes - are going to be generated for complexTypes and simpleTypes since the - simpleType is not an enumeration.

To summarize, we can expect 7 classes : Invoice, Customer, - Address, Item, ShipTo, ShippingMethod - and ShippingDate and the 7 corresponding class descriptors. Note - that a class is generated for the top-level group customer

2.7.1.2. Running the XML code generator

To run the source generator and create the source from the - invoice.xsd file in a package test, we just call - in the command line:

-java -cp %CP% org.exolab.castor.builder.SourceGeneratorMain -i invoice.xsd -package test

2.7.1.3. The generated code

2.7.1.3.1. The Item.java class

To simplify this example we now focus on the item element.

-<!-- Description of an item -->
-<xsd:element name="item">
-  <xsd:complexType>
-    <xsd:sequence>
-      <xsd:element name="Quantity" type="xsd:integer"
-                   minOccurs="1" maxOccurs="1" />
-      <xsd:element name="Price" type="PriceType"
-                   minOccurs="1" maxOccurs="1" />
-    </xsd:sequence>
-    <xsd:attributeGroup ref="ItemAttributes" />
-  </xsd:complexType>
-</xsd:element>
-
-<!-- Cool price type -->
-<xsd:simpleType name="PriceType">
-  <xsd:restriction base="xsd:decimal">
-    <xsd:fractionDigits value="2" />
-    <xsd:totalDigits value="5" />
-    <xsd:minInclusive value="1" />
-    <xsd:maxInclusive value="100" />
-  </xsd:restriction>
-</xsd:simpleType>
-
-<!-- The attributes for an Item -->
-<xsd:attributeGroup name="ItemAttributes">
-  <xsd:attribute name="Id" type="xsd:ID" minOccurs="1" maxOccurs="1" />
-  <xsd:attribute name="InStock" type="xsd:boolean" default="false" />
-  <xsd:attribute name="Category" type="xsd:string" use="required" />
-</xsd:attributeGroup>

To represent an Item object, we need to know its Id, the - Quantity ordered and the Price for one item. So we can - expect to find a least three private variables: a string for - the Id element, an int for the quantity element (see the - section on XML Schema support if you want to see the mapping - between a W3C XML Schema type and a java type), but what type - for the Price element?

While processing the Price - element, Castor is going to process the type of Price i.e. - the simpleType PriceType which base is decimal. Since - derived types are automatically mapped to parent types and - W3C XML Schema decimal type is mapped to a - java.math.BigDecimal, the price element will be a - java.math.BigDecimal. Another private variable is created - for quantity: quantity is mapped to a primitive java type, - so a boolean has_quantity is created for monitoring the - state of the quantity variable. The rest of the code is the - getter/setter methods and the Marshalling framework - specific methods. Please find below the complete Item class - (with Javadoc comments stripped off):

-/** 
- * This class was automatically generated with 
- * Castor 1.0.4,
- * using an XML Schema.
- */
-
-package test;
-
-public class Item implements java.io.Serializable {
-
-   //--------------------------/ 
-   //- Class/Member Variables -/
-   //--------------------------/
-
-   private java.lang.String _id; 
-
-   private int _quantity;
-
-   /** 
-    * keeps track of state for field: _quantity 
-    */ 
-   private boolean _has_quantity;
-
-   private java.math.BigDecimal _price;
-
-   //----------------/ 
-   //- Constructors -/ 
-   //----------------/
-
-   public Item() { 
-      super(); 
-   } //-- test.Item()
-
-
-   //-----------/ 
-   //- Methods -/ 
-   //-----------/
-
-   public java.lang.String getId() { 
-      return this._id; $
-   } //-- java.lang.String getId()
-
-   public java.math.BigDecimal getPrice() { 
-      return this._price;
-   } //-- java.math.BigDecimal getPrice()
-
-   public int getQuantity() {
-      return this._quantity;
-   } //-- int getQuantity()
-
-   public boolean hasQuantity() { 
-      return this._has_quantity;
-   } //-- boolean hasQuantity()
-
-   public boolean isValid() {
-      try { 
-         validate();
-      } catch (org.exolab.castor.xml.ValidationException vex) { 
-         return false;
-      }
-      return true;
-   } //-- boolean isValid()
-
-   public void marshal(java.io.Writer out) 
-   throws org.exolab.castor.xml.MarshalException,org.exolab.castor.xml.ValidationException {
-      Marshaller.marshal(this, out);
-   } //-- void marshal(java.io.Writer)
-
-   public void marshal(org.xml.sax.DocumentHandler handler) 
-   throws org.exolab.castor.xml.MarshalException, org.exolab.castor.xml.ValidationException {
-      Marshaller.marshal(this, handler);
-   } //-- void marshal(org.xml.sax.DocumentHandler)
-
-   public void setId(java.lang.String _id) {
-      this._id = _id;
-   } //-- void setId(java.lang.String)
-
-   public void setPrice(java.math.BigDecimal _price) {
-      this._price = _price;
-   } //-- void setPrice(java.math.BigDecimal)
-
-   public void setQuantity(int _quantity) {
-      this._quantity = _quantity;
-      this._has_quantity = true;
-   } //-- void setQuantity(int)
-
-   public static test.Item unmarshal(java.io.Reader reader) 
-   throws org.exolab.castor.xml.MarshalException,org.exolab.castor.xml.ValidationException {
-      return (test.Item) Unmarshaller.unmarshal(test.Item.class, reader);
-   } //-- test.Item unmarshal(java.io.Reader)
-
-   public void validate() 
-   throws org.exolab.castor.xml.ValidationException {
-      org.exolab.castor.xml.Validator.validate(this, null);
-   } //-- void validate()
-
-}
-

The ItemDescriptor class is a bit more complex. This class - is containing inner classes which are the XML field - descriptors for the different components of an ‘Item’ - element i.e. id, quantity and price.

2.7.1.3.2. The PriceType.java class

TODO ...

2.7.1.3.3. The Invoice.java class

In this section, we focus on the 'invoice' element as - shown again below:

-<xsd:element name="invoice">
-   <xsd:complexType>
-      <xsd:sequence>
-         <xsd:element name="ship-to">
-            <xsd:complexType>
-               <xsd:group ref="customer" />
-            </xsd:complexType>
-         </xsd:element>
-         <xsd:element ref="item"    minOccurs="1" maxOccurs="unbounded" />
-         <xsd:element ref="shipping-method" />
-         <xsd:element ref="shipping-date" />
-      </xsd:sequence>
-   </xsd:complexType>
-</xsd:element>

Amongst other things, an <invoice> is made up of at least - one, but potentially many <item> elements. The Castor XML code - generator creates a Java collection named 'itemList' for this - unbounded element declaration, of type java.util.List - if the scode generator is used with the 'arraylist' - field factory.

-    private java.util.List _itemList;

If the 'j1' field factory is used, this will be replaced - with ...

-    private java.util.Vector _itemList;

The complete class as generated (with irrelevant code - parts removed) in 'j2' (aka 'arraylist') - mode is shown below:

-public class Invoice implements java.io.Serializable {
-
-
-    ...
-    
-    private java.util.List _itemList;
-    
-    ...
-
-    public Invoice() 
-     {
-        super();
-        this._itemList = new java.util.ArrayList();
-    } //-- xml.c1677.invoice.generated.Invoice()
-
-    ...
-
-    public void addItem(xml.c1677.invoice.generated.Item vItem)
-        throws java.lang.IndexOutOfBoundsException
-    {
-        this._itemList.add(vItem);
-    } //-- void addItem(xml.c1677.invoice.generated.Item) 
-
-    public void addItem(int index, xml.c1677.invoice.generated.Item vItem)
-        throws java.lang.IndexOutOfBoundsException
-    {
-        this._itemList.add(index, vItem);
-    } //-- void addItem(int, xml.c1677.invoice.generated.Item) 
-
-    public java.util.Enumeration enumerateItem()
-    {
-        return java.util.Collections.enumeration(this._itemList);
-    } //-- java.util.Enumeration enumerateItem() 
-
-    public xml.c1677.invoice.generated.Item getItem(int index)
-        throws java.lang.IndexOutOfBoundsException
-    {
-        // check bounds for index
-        if (index < 0 || index >= this._itemList.size()) {
-            throw new IndexOutOfBoundsException("getItem: Index value '" + index 
-               + "' not in range [0.." + (this._itemList.size() - 1) + "]");
-        }
-        
-        return (xml.c1677.invoice.generated.Item) _itemList.get(index);
-    } //-- xml.c1677.invoice.generated.Item getItem(int) 
-
-    public xml.c1677.invoice.generated.Item[] getItem()
-    {
-        int size = this._itemList.size();
-        xml.c1677.invoice.generated.Item[] array = new xml.c1677.invoice.generated.Item[size];
-        for (int index = 0; index < size; index++){
-            array[index] = (xml.c1677.invoice.generated.Item) _itemList.get(index);
-        }
-        
-        return array;
-    } //-- xml.c1677.invoice.generated.Item[] getItem() 
-
-    public int getItemCount()
-    {
-        return this._itemList.size();
-    } //-- int getItemCount() 
-
-    public java.util.Iterator iterateItem()
-    {
-        return this._itemList.iterator();
-    } //-- java.util.Iterator iterateItem() 
-
-    public void removeAllItem()
-    {
-        this._itemList.clear();
-    } //-- void removeAllItem() 
-
-    public boolean removeItem(xml.c1677.invoice.generated.Item vItem)
-    {
-        boolean removed = _itemList.remove(vItem);
-        return removed;
-    } //-- boolean removeItem(xml.c1677.invoice.generated.Item) 
-
-    public xml.c1677.invoice.generated.Item removeItemAt(int index)
-    {
-        Object obj = this._itemList.remove(index);
-        return (xml.c1677.invoice.generated.Item) obj;
-    } //-- xml.c1677.invoice.generated.Item removeItemAt(int) 
-
-    public void setItem(int index, xml.c1677.invoice.generated.Item vItem)
-        throws java.lang.IndexOutOfBoundsException
-    {
-        // check bounds for index
-        if (index < 0 || index >= this._itemList.size()) {
-            throw new IndexOutOfBoundsException("setItem: Index value '" 
-               + index + "' not in range [0.." + (this._itemList.size() - 1) + "]");
-        }
-        
-        this._itemList.set(index, vItem);
-    } //-- void setItem(int, xml.c1677.invoice.generated.Item) 
-
-    public void setItem(xml.c1677.invoice.generated.Item[] vItemArray)
-    {
-        //-- copy array
-        _itemList.clear();
-        
-        for (int i = 0; i < vItemArray.length; i++) {
-                this._itemList.add(vItemArray[i]);
-        }
-    } //-- void setItem(xml.c1677.invoice.generated.Item) 
-
-}

2.7.2. Non-trivial real world example

- Two companies wish to trade with each other using a Supply Chain - messaging system. This system sends and receives Purchase Orders and - Order Receipt messages. After many months of discussion they have - finally decided upon the structure of the Version 1.0 of their - message XSD and both are presently developing solutions for it. One - of the companies decides to use Java and Castor XML support for - (un)marshaling and Castor's code generator to accelerate their - development process. -

2.7.2.1. The Supply Chain XSD

-            <title>supplyChainV1.0.xsd</title>
-<?xml version="1.0" encoding="UTF-8"?>
-<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema"
-           elementFormDefault="qualified"
-           attributeFormDefault="unqualified">
-
-    <xs:element name="Data">
-      <xs:annotation>
-        <xs:documentation>
-          This section contains the supply chain message data
-        </xs:documentation>
-      </xs:annotation>
-      <xs:complexType>
-        <xs:choice>
-          <xs:element name="PurchaseOrder">
-            <xs:complexType>
-              <xs:sequence>
-                <xs:element name="LineItem" type="LineItemType" maxOccurs="unbounded"/>
-              </xs:sequence>
-              <xs:attribute name="OrderNumber" type="xs:string" use="required"/>
-            </xs:complexType>
-          </xs:element>
-          <xs:element name="OrderReceipt">
-            <xs:complexType>
-              <xs:sequence>
-                <xs:element name="LineItem" type="ReceiptLineItemType" maxOccurs="unbounded"/>
-              </xs:sequence>
-              <xs:attribute name="OrderNumber" type="xs:string" use="required"/>
-            </xs:complexType>
-          </xs:element>
-        </xs:choice>
-      </xs:complexType>
-    </xs:element>
-
-    <xs:complexType name="SkuType">
-      <xs:annotation>
-        <xs:documentation>Contains Product Identifier</xs:documentation>
-      </xs:annotation>
-      <xs:sequence>
-        <xs:element name="Number" type="xs:integer"/>
-        <xs:element name="ID" type="xs:string"/>
-      </xs:sequence>
-    </xs:complexType>
-
-    <xs:complexType name="ReceiptSkuType">
-      <xs:annotation>
-        <xs:documentation>Contains Product Identifier</xs:documentation>
-      </xs:annotation>
-      <xs:complexContent>
-        <xs:extension base="SkuType">
-          <xs:sequence>
-            <xs:element name="InternalID" type="xs:string"/>
-          </xs:sequence>
-        </xs:extension>
-      </xs:complexContent>
-    </xs:complexType>
-
-    <xs:complexType name="LineItemType">
-      <xs:sequence>
-        <xs:element name="Sku" type="SkuType"/>
-        <xs:element name="Value" type="xs:double"/>
-        <xs:element name="BillingInstructions" type="xs:string"/>
-        <xs:element name="DeliveryDate" type="xs:date"/>
-        <xs:element name="Number" type="xs:integer"/>
-      </xs:sequence>
-    </xs:complexType>
-
-    <xs:complexType name="ReceiptLineItemType">
-      <xs:sequence>
-        <xs:element name="Sku" type="ReceiptSkuType"/>
-        <xs:element name="Value" type="xs:double"/>
-        <xs:element name="PackingDescription" type="xs:string"/>
-        <xs:element name="ShipDate" type="xs:dateTime"/>
-        <xs:element name="Number" type="xs:integer"/>
-      </xs:sequence>
-    </xs:complexType>
-</xs:schema>

2.7.2.2. Binding file? -- IT IS REQUIRED!

- If you run the Castor CodeGenerator on the above XSD you end up - with the following set of classes. (You also get lots of warning - messages with the present version.) -

-Data.java
-DataDescriptor.java
-LineItem.java
-LineItemDescriptor.java
-LineItemType.java
-LineItemTypeDescriptor.java
-OrderReceipt.java
-OrderReceiptDescriptor.java
-PurchaseOrder.java
-PurchaseOrderDescriptor.java
-ReceiptLineItemType.java
-ReceiptLineItemTypeDescriptor.java
-ReceiptSkuType.java
-ReceiptSkuTypeDescriptor.java
-Sku.java
-SkuDescriptor.java
-SkuType.java
-SkuTypeDescriptor.java

- The problem here is that there are two different elements with the - same name in different locations in the XSD. This causes a Java code - generation conflict. By default, Castor uses the element name as the name - of the class. So the second class generated for the LineItem definition, - which is different than the first, overwrites the first class - generated. -

- A binding file is therefore necessary to help the Castor code - generator differentiate between these generated classes and as such avoid - such generation conflicts. That is, you can 'bind' an element in the XML schema - to a differently named class file that you want to generate. This keeps different - elements separate and ensures that source is properly generated for - each XML Schema object. -

[Tip]Tip

- The warning messages for Castor 0.99+ are very useful in assisting - you in your creation of the binding file. For the example the - warning messages for the example are: -

-    Warning: A class name generation conflict has occurred between element
-            '/Data/OrderReceipt/LineItem' and element '/Data/PurchaseOrder/LineItem'.
-            Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
-    Warning: A class name generation conflict has occurred between element
-            '/Data/OrderReceipt/LineItem' and element '/Data/PurchaseOrder/LineItem'.
-            Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
-    Warning: A class name generation conflict has occurred between element
-            '/Data/OrderReceipt/LineItem' and element '/Data/PurchaseOrder/LineItem'.
-            Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
-    Warning: A class name generation conflict has occurred between element
-            'complexType:ReceiptLineItemType/Sku' and element 'complexType:LineItemType/Sku'.
-            Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
-    Warning: A class name generation conflict has occurred between element
-            'complexType:ReceiptLineItemType/Sku' and element 'complexType:LineItemType/Sku'.
-            Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
-    Warning: A class name generation conflict has occurred between element
-            'complexType:ReceiptLineItemType/Sku' and element 'complexType:LineItemType/Sku'.
-            Please use a Binding file to solve this problem.Continue anyway [not recommended] (y|n|?)y
-          

- The following binding file definition will overcome the naming - issues for the generated classes: -

-            
-<binding xmlns="http://www.castor.org/SourceGenerator/Binding"
-         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-         xsi:schemaLocation="http://www.castor.org/SourceGenerator/Binding C:\\Castor\\xsd\\binding.xsd"
-         defaultBinding="element">
-
-   <elementBinding name="/Data/PurchaseOrder/LineItem">
-      <java-class name="PurchaseOrderLineItem"/>
-   </elementBinding>
-
-   <elementBinding name="/Data/OrderReceipt/LineItem">
-      <java-class name="OrderReceiptLineItem"/>
-   </elementBinding>
-
-   <elementBinding name="/complexType:ReceiptLineItemType/Sku">
-      <java-class name="OrderReceiptSku"/>
-   </elementBinding>
-
-   <elementBinding name="/complexType:LineItemType/Sku">
-      <java-class name="PurchaseOrderSku"/>
-   </elementBinding>
-
-</binding>

- One thing to notice in the above binding.xml file is that - the name path used is relative to the root of the XSD and not - the root of the target XML. Also notice that the two complex types - have the "complexType:" prefix to identify them followed by the name - path relative to the root of the XSD. -

The new list of generated classes is:

-Data.java
-DataDescriptor.java
-LineItem.java
-LineItemDescriptor.java
-LineItemType.java
-LineItemTypeDescriptor.java
-OrderReceipt.java
-OrderReceiptDescriptor.java
-OrderReceiptLineItem.java
-OrderReceiptLineItemDescriptor.java
-OrderReceiptSku.java
-OrderReceiptSkuDescriptor.java
-PurchaseOrder.java
-PurchaseOrderDescriptor.java
-PurchaseOrderLineItem.java
-PurchaseOrderLineItemDescriptor.java
-PurchaseOrderSku.java
-PurchaseOrderSkuDescriptor.java
-ReceiptLineItemType.java
-ReceiptLineItemTypeDescriptor.java
-ReceiptSkuType.java
-ReceiptSkuTypeDescriptor.java
-Sku.java
-SkuDescriptor.java
-SkuType.java
-SkuTypeDescriptor.java

- The developers can now use these generated classes with Castor to - (un)marshal the supply chain messages sent by their business - partner. -



[1] XML Schema is a W3C - Recommendation

[2] Castor supports the - XML Schema 1.0 Second - Edition

\ No newline at end of file diff --git a/src/site/resources/reference-guides/1.4.0/html/index.html b/src/site/resources/reference-guides/1.4.0/html/index.html index 01bd8483d..fc317eddd 100755 --- a/src/site/resources/reference-guides/1.4.0/html/index.html +++ b/src/site/resources/reference-guides/1.4.0/html/index.html @@ -1,6 +1,6 @@ - Castor 1.3.3 - Reference documentation

Castor 1.3.3 - Reference documentation

1.3.3

+

Castor 1.4.0 - Reference documentation

1.4.0

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