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MongoDBBatchSource.java
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/*
* Copyright © 2019 Cask Data, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
package io.cdap.plugin.batch.source;
import com.google.common.base.Strings;
import com.google.common.collect.ImmutableSet;
import com.mongodb.client.model.Projections;
import com.mongodb.hadoop.MongoInputFormat;
import com.mongodb.hadoop.util.MongoConfigUtil;
import io.cdap.cdap.api.annotation.Description;
import io.cdap.cdap.api.annotation.Macro;
import io.cdap.cdap.api.annotation.Name;
import io.cdap.cdap.api.annotation.Plugin;
import io.cdap.cdap.api.data.batch.Input;
import io.cdap.cdap.api.data.format.StructuredRecord;
import io.cdap.cdap.api.data.schema.Schema;
import io.cdap.cdap.api.dataset.lib.KeyValue;
import io.cdap.cdap.etl.api.Emitter;
import io.cdap.cdap.etl.api.InvalidEntry;
import io.cdap.cdap.etl.api.PipelineConfigurer;
import io.cdap.cdap.etl.api.batch.BatchRuntimeContext;
import io.cdap.cdap.etl.api.batch.BatchSource;
import io.cdap.cdap.etl.api.batch.BatchSourceContext;
import io.cdap.cdap.etl.api.validation.InvalidConfigPropertyException;
import io.cdap.plugin.ErrorHandling;
import io.cdap.plugin.MongoDBConfig;
import io.cdap.plugin.MongoDBConstants;
import io.cdap.plugin.common.LineageRecorder;
import io.cdap.plugin.common.ReferenceBatchSource;
import io.cdap.plugin.common.ReferencePluginConfig;
import io.cdap.plugin.common.SourceInputFormatProvider;
import org.apache.hadoop.conf.Configuration;
import org.bson.BSONObject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.List;
import java.util.Objects;
import java.util.Set;
import java.util.stream.Collectors;
import javax.annotation.Nullable;
/**
* A {@link BatchSource} that reads data from MongoDB and converts each document into
* a {@link StructuredRecord} using the specified Schema.
*/
@Plugin(type = BatchSource.PLUGIN_TYPE)
@Name(MongoDBConstants.PLUGIN_NAME)
@Description("MongoDB Batch Source will read documents from MongoDB and convert each document " +
"into a StructuredRecord with the help of the specified Schema. ")
public class MongoDBBatchSource extends ReferenceBatchSource<Object, BSONObject, StructuredRecord> {
private static final Logger LOG = LoggerFactory.getLogger(MongoDBBatchSource.class);
private final MongoDBSourceConfig config;
private BSONObjectToRecordTransformer bsonObjectToRecordTransformer;
public MongoDBBatchSource(MongoDBSourceConfig config) {
super(new ReferencePluginConfig(config.getReferenceName()));
this.config = config;
}
@Override
public void configurePipeline(PipelineConfigurer pipelineConfigurer) {
super.configurePipeline(pipelineConfigurer);
config.validate();
Schema schema = config.getParsedSchema();
pipelineConfigurer.getStageConfigurer().setOutputSchema(schema);
pipelineConfigurer.getStageConfigurer().setErrorSchema(MongoDBSourceConfig.ERROR_SCHEMA);
}
@Override
public void prepareRun(BatchSourceContext context) throws Exception {
config.validate();
Configuration conf = new Configuration();
conf.clear();
MongoConfigUtil.setInputFormat(conf, MongoInputFormat.class);
MongoConfigUtil.setInputURI(conf, config.getConnectionString());
MongoConfigUtil.setFields(conf, config.getProjectionDocument());
if (!Strings.isNullOrEmpty(config.inputQuery)) {
MongoConfigUtil.setQuery(conf, config.inputQuery);
}
if (!Strings.isNullOrEmpty(config.authConnectionString)) {
MongoConfigUtil.setAuthURI(conf, config.authConnectionString);
}
MongoConfigUtil.setRangeQueryEnabled(conf, true);
emitLineage(context);
context.setInput(Input.of(config.getReferenceName(),
new SourceInputFormatProvider(MongoConfigUtil.getInputFormat(conf), conf)));
}
@Override
public void initialize(BatchRuntimeContext context) throws Exception {
super.initialize(context);
bsonObjectToRecordTransformer = new BSONObjectToRecordTransformer(config.getParsedSchema());
}
@Override
public void transform(KeyValue<Object, BSONObject> input, Emitter<StructuredRecord> emitter) throws Exception {
BSONObject bsonObject = input.getValue();
try {
emitter.emit(bsonObjectToRecordTransformer.transform(bsonObject));
} catch (Exception e) {
switch (config.getErrorHandling()) {
case SEND_TO_ERROR:
StructuredRecord errorRecord = StructuredRecord.builder(MongoDBSourceConfig.ERROR_SCHEMA)
.set("document", bsonObject.toString())
.build();
emitter.emitError(new InvalidEntry<>(400, e.getMessage(), errorRecord));
break;
case SKIP:
LOG.warn("Failed to process record, skipping it", e);
break;
case FAIL_PIPELINE:
throw new RuntimeException("Failed to process record", e);
default:
// this should never happen because it is validated at configure and prepare time
throw new IllegalStateException(String.format("Unknown error handling strategy '%s'",
config.getErrorHandling()));
}
}
}
private void emitLineage(BatchSourceContext context) {
LineageRecorder lineageRecorder = new LineageRecorder(context, config.getReferenceName());
lineageRecorder.createExternalDataset(config.getParsedSchema());
List<Schema.Field> fields = Objects.requireNonNull(config.getParsedSchema()).getFields();
if (fields != null && !fields.isEmpty()) {
lineageRecorder.recordRead("Read",
String.format("Read from '%s' MongoDB collection.", config.getCollection()),
fields.stream().map(Schema.Field::getName).collect(Collectors.toList()));
}
}
/**
* Config class for {@link MongoDBBatchSource}.
*/
public static class MongoDBSourceConfig extends MongoDBConfig {
public static final Schema ERROR_SCHEMA = Schema.recordOf("error", Schema.Field.of("document",
Schema.of(Schema.Type.STRING)));
public static final Set<Schema.Type> SUPPORTED_SIMPLE_TYPES = ImmutableSet.of(Schema.Type.BOOLEAN, Schema.Type.INT,
Schema.Type.DOUBLE, Schema.Type.BYTES,
Schema.Type.LONG, Schema.Type.STRING,
Schema.Type.ARRAY, Schema.Type.RECORD,
Schema.Type.MAP);
public static final Set<Schema.LogicalType> SUPPORTED_LOGICAL_TYPES = ImmutableSet.of(
Schema.LogicalType.DECIMAL, Schema.LogicalType.TIMESTAMP_MILLIS, Schema.LogicalType.TIMESTAMP_MICROS);
@Name(MongoDBConstants.SCHEMA)
@Description("Schema of records output by the source.")
private String schema;
@Name(MongoDBConstants.INPUT_QUERY)
@Description("Optionally filter the input collection with a query. This query must be represented in JSON " +
"format, and use the MongoDB extended JSON format to represent non-native JSON data types.")
@Nullable
@Macro
private String inputQuery;
@Name(MongoDBConstants.ON_ERROR)
@Description("Specifies how to handle error in record processing. Error will be thrown if failed to parse value " +
"according to provided schema.")
@Macro
private String onError;
@Name(MongoDBConstants.AUTH_CONNECTION_STRING)
@Nullable
@Description("Auxiliary MongoDB connection string to authenticate against when constructing splits.")
@Macro
private String authConnectionString;
public MongoDBSourceConfig(String referenceName, String host, int port, String database, String collection,
String user, String password, boolean connectUsingSRVString,
String connectionArguments, String schema,
String inputQuery, String onError, String authConnectionString) {
super(referenceName, host, port, database, collection, user, password,
connectUsingSRVString, connectionArguments);
this.schema = schema;
this.inputQuery = inputQuery;
this.onError = onError;
this.authConnectionString = authConnectionString;
}
public String getSchema() {
return schema;
}
@Nullable
public String getInputQuery() {
return inputQuery;
}
public String getOnError() {
return onError;
}
@Nullable
public String getAuthConnectionString() {
return authConnectionString;
}
public Schema getParsedSchema() {
try {
return Schema.parseJson(schema);
} catch (IOException e) {
throw new InvalidConfigPropertyException("Invalid schema", e, MongoDBConstants.SCHEMA);
}
}
/**
* Constructs JSON projection document based on the output schema.
*
* @return JSON projection document.
*/
public String getProjectionDocument() {
List<String> fieldNames = getParsedSchema().getFields().stream()
.map(Schema.Field::getName)
.collect(Collectors.toList());
return Projections.include(fieldNames).toString();
}
public ErrorHandling getErrorHandling() {
return Objects.requireNonNull(ErrorHandling.fromDisplayName(onError));
}
@Override
public void validate() {
super.validate();
if (!containsMacro(MongoDBConstants.ON_ERROR)) {
if (Strings.isNullOrEmpty(onError)) {
throw new InvalidConfigPropertyException("Error handling must be specified", MongoDBConstants.ON_ERROR);
}
if (ErrorHandling.fromDisplayName(onError) == null) {
throw new InvalidConfigPropertyException("Invalid record error handling strategy name",
MongoDBConstants.ON_ERROR);
}
}
if (!containsMacro(MongoDBConstants.SCHEMA)) {
if (schema == null) {
throw new InvalidConfigPropertyException("Schema must be specified", MongoDBConstants.SCHEMA);
}
Schema parsedSchema = getParsedSchema();
try {
super.validateSchema(parsedSchema, SUPPORTED_LOGICAL_TYPES, SUPPORTED_SIMPLE_TYPES);
} catch (IllegalArgumentException e) {
throw new InvalidConfigPropertyException(e.getMessage(), e, MongoDBConstants.SCHEMA);
}
}
}
}
}