Kotlin

Kotlin is a statically typed language that targets the JVM (and other platforms) which allows writing concise and elegant code while providing very good interoperability with existing libraries written in Java.

The Spring Framework provides first-class support for Kotlin and lets developers write Kotlin applications almost as if the Spring Framework was a native Kotlin framework. Most of the code samples of the reference documentation are provided in Kotlin in addition to Java.

The easiest way to build a Spring application with Kotlin is to leverage Spring Boot and its dedicated Kotlin support. This comprehensive tutorial will teach you how to build Spring Boot applications with Kotlin using start.spring.io.

Feel free to join the #spring channel of Kotlin Slack or ask a question with spring and kotlin as tags on Stackoverflow if you need support.

Requirements

Spring Framework supports Kotlin 1.3+ and requires kotlin-stdlib (or one of its variants, such as kotlin-stdlib-jdk8) and kotlin-reflect to be present on the classpath. They are provided by default if you bootstrap a Kotlin project on start.spring.io.

Warning

Kotlin inline classes are not yet supported.

Note

The Jackson Kotlin module is required for serializing or deserializing JSON data for Kotlin classes with Jackson, so make sure to add the com.fasterxml.jackson.module:jackson-module-kotlin dependency to your project if you have such need. It is automatically registered when found in the classpath.

Extensions

Kotlin extensions provide the ability to extend existing classes with additional functionality. The Spring Framework Kotlin APIs use these extensions to add new Kotlin-specific conveniences to existing Spring APIs.

The {docs-spring-framework}/kdoc-api/[Spring Framework KDoc API] lists and documents all available Kotlin extensions and DSLs.

Note

Keep in mind that Kotlin extensions need to be imported to be used. This means, for example, that the GenericApplicationContext.registerBean Kotlin extension is available only if org.springframework.context.support.registerBean is imported. That said, similar to static imports, an IDE should automatically suggest the import in most cases.

For example, Kotlin reified type parameters provide a workaround for JVM generics type erasure, and the Spring Framework provides some extensions to take advantage of this feature. This allows for a better Kotlin API RestTemplate, for the new WebClient from Spring WebFlux, and for various other APIs.

Note	Other libraries, such as Reactor and Spring Data, also provide Kotlin extensions for their APIs, thus giving a better Kotlin development experience overall.

To retrieve a list of User objects in Java, you would normally write the following:

Flux<User> users  = client.get().retrieve().bodyToFlux(User.class)

With Kotlin and the Spring Framework extensions, you can instead write the following:

val users = client.get().retrieve().bodyToFlux<User>()
// or (both are equivalent)
val users : Flux<User> = client.get().retrieve().bodyToFlux()

As in Java, users in Kotlin is strongly typed, but Kotlin’s clever type inference allows for shorter syntax.

Null-safety

One of Kotlin’s key features is null-safety, which cleanly deals with null values at compile time rather than bumping into the famous NullPointerException at runtime. This makes applications safer through nullability declarations and expressing “value or no value” semantics without paying the cost of wrappers, such as Optional. (Kotlin allows using functional constructs with nullable values. See this comprehensive guide to Kotlin null-safety.)

Although Java does not let you express null-safety in its type-system, the Spring Framework provides null-safety of the whole Spring Framework API via tooling-friendly annotations declared in the org.springframework.lang package. By default, types from Java APIs used in Kotlin are recognized as platform types, for which null-checks are relaxed. Kotlin support for JSR-305 annotations and Spring nullability annotations provide null-safety for the whole Spring Framework API to Kotlin developers, with the advantage of dealing with null-related issues at compile time.

Note	Libraries such as Reactor or Spring Data provide null-safe APIs to leverage this feature.

You can configure JSR-305 checks by adding the -Xjsr305 compiler flag with the following options: -Xjsr305={strict|warn|ignore}.

For kotlin versions 1.1+, the default behavior is the same as -Xjsr305=warn. The strict value is required to have Spring Framework API null-safety taken into account in Kotlin types inferred from Spring API but should be used with the knowledge that Spring API nullability declaration could evolve even between minor releases and that more checks may be added in the future.

Note	Generic type arguments, varargs, and array elements nullability are not supported yet, but should be in an upcoming release. See this discussion for up-to-date information.

Classes and Interfaces

The Spring Framework supports various Kotlin constructs, such as instantiating Kotlin classes through primary constructors, immutable classes data binding, and function optional parameters with default values.

Kotlin parameter names are recognized through a dedicated KotlinReflectionParameterNameDiscoverer, which allows finding interface method parameter names without requiring the Java 8 -parameters compiler flag to be enabled during compilation. (For completeness, we nevertheless recommend running the Kotlin compiler with its -java-parameters flag for standard Java parameter exposure.)

You can declare configuration classes as top level or nested but not inner, since the later requires a reference to the outer class.

Annotations

The Spring Framework also takes advantage of Kotlin null-safety to determine if an HTTP parameter is required without having to explicitly define the required attribute. That means @RequestParam name: String? is treated as not required and, conversely, @RequestParam name: String is treated as being required. This feature is also supported on the Spring Messaging @Header annotation.

In a similar fashion, Spring bean injection with @Autowired, @Bean, or @Inject uses this information to determine if a bean is required or not.

For example, @Autowired lateinit var thing: Thing implies that a bean of type Thing must be registered in the application context, while @Autowired lateinit var thing: Thing? does not raise an error if such a bean does not exist.

Following the same principle, @Bean fun play(toy: Toy, car: Car?) = Baz(toy, Car) implies that a bean of type Toy must be registered in the application context, while a bean of type Car may or may not exist. The same behavior applies to autowired constructor parameters.

Note	If you use bean validation on classes with properties or a primary constructor parameters, you may need to use annotation use-site targets, such as `@field:NotNull` or `@get:Size(min=5, max=15)`, as described in this Stack Overflow response.

Bean Definition DSL

Spring Framework supports registering beans in a functional way by using lambdas as an alternative to XML or Java configuration (@Configuration and @Bean). In a nutshell, it lets you register beans with a lambda that acts as a FactoryBean. This mechanism is very efficient, as it does not require any reflection or CGLIB proxies.

In Java, you can, for example, write the following:

class Foo {}

class Bar {
	private final Foo foo;
	public Bar(Foo foo) {
		this.foo = foo;
	}
}

GenericApplicationContext context = new GenericApplicationContext();
context.registerBean(Foo.class);
context.registerBean(Bar.class, () -> new Bar(context.getBean(Foo.class)));

In Kotlin, with reified type parameters and GenericApplicationContext Kotlin extensions, you can instead write the following:

class Foo

class Bar(private val foo: Foo)

val context = GenericApplicationContext().apply {
	registerBean<Foo>()
	registerBean { Bar(it.getBean()) }
}

When the class Bar has a single constructor, you can even just specify the bean class, the constructor parameters will be autowired by type:

val context = GenericApplicationContext().apply {
	registerBean<Foo>()
	registerBean<Bar>()
}

In order to allow a more declarative approach and cleaner syntax, Spring Framework provides a {docs-spring-framework}/kdoc-api/spring-context/org.springframework.context.support/-bean-definition-dsl/index.html[Kotlin bean definition DSL] It declares an ApplicationContextInitializer through a clean declarative API, which lets you deal with profiles and Environment for customizing how beans are registered.

In the following example notice that:

Type inference usually allows to avoid specifying the type for bean references like ref("bazBean")
It is possible to use Kotlin top level functions to declare beans using callable references like bean(::myRouter) in this example
When specifying bean<Bar>() or bean(::myRouter), parameters are autowired by type
The FooBar bean will be registered only if the foobar profile is active

class Foo
class Bar(private val foo: Foo)
class Baz(var message: String = "")
class FooBar(private val baz: Baz)

val myBeans = beans {
	bean<Foo>()
	bean<Bar>()
	bean("bazBean") {
		Baz().apply {
			message = "Hello world"
		}
	}
	profile("foobar") {
		bean { FooBar(ref("bazBean")) }
	}
	bean(::myRouter)
}

fun myRouter(foo: Foo, bar: Bar, baz: Baz) = router {
	// ...
}

Note	This DSL is programmatic, meaning it allows custom registration logic of beans through an `if` expression, a `for` loop, or any other Kotlin constructs.

You can then use this beans() function to register beans on the application context, as the following example shows:

val context = GenericApplicationContext().apply {
	myBeans.initialize(this)
	refresh()
}

Note

Spring Boot is based on JavaConfig and does not yet provide specific support for functional bean definition, but you can experimentally use functional bean definitions through Spring Boot’s ApplicationContextInitializer support. See this Stack Overflow answer for more details and up-to-date information. See also the experimental Kofu DSL developed in Spring Fu incubator.

Web

Router DSL

Spring Framework comes with a Kotlin router DSL available in 3 flavors:

WebMvc.fn DSL with {docs-spring-framework}/kdoc-api/spring-webmvc/org.springframework.web.servlet.function/router.html[router { }]
WebFlux.fn Reactive DSL with {docs-spring-framework}/kdoc-api/spring-webflux/org.springframework.web.reactive.function.server/router.html[router { }]
WebFlux.fn Coroutines DSL with {docs-spring-framework}/kdoc-api/spring-webflux/org.springframework.web.reactive.function.server/co-router.html[coRouter { }]

These DSL let you write clean and idiomatic Kotlin code to build a RouterFunction instance as the following example shows:

@Configuration
class RouterRouterConfiguration {

	@Bean
	fun mainRouter(userHandler: UserHandler) = router {
		accept(TEXT_HTML).nest {
			GET("/") { ok().render("index") }
			GET("/sse") { ok().render("sse") }
			GET("/users", userHandler::findAllView)
		}
		"/api".nest {
			accept(APPLICATION_JSON).nest {
				GET("/users", userHandler::findAll)
			}
			accept(TEXT_EVENT_STREAM).nest {
				GET("/users", userHandler::stream)
			}
		}
		resources("/**", ClassPathResource("static/"))
	}
}

Note	This DSL is programmatic, meaning that it allows custom registration logic of beans through an `if` expression, a `for` loop, or any other Kotlin constructs. That can be useful when you need to register routes depending on dynamic data (for example, from a database).

See MiXiT project for a concrete example.

MockMvc DSL

A Kotlin DSL is provided via MockMvc Kotlin extensions in order to provide a more idiomatic Kotlin API and to allow better discoverability (no usage of static methods).

val mockMvc: MockMvc = ...
mockMvc.get("/person/{name}", "Lee") {
	secure = true
	accept = APPLICATION_JSON
	headers {
		contentLanguage = Locale.FRANCE
	}
	principal = Principal { "foo" }
}.andExpect {
	status { isOk }
	content { contentType(APPLICATION_JSON) }
	jsonPath("$.name") { value("Lee") }
	content { json("""{"someBoolean": false}""", false) }
}.andDo {
	print()
}

Kotlin Script Templates

Spring Framework provides a ScriptTemplateView which supports JSR-223 to render templates by using script engines.

By leveraging scripting-jsr223 dependencies, it is possible to use such feature to render Kotlin-based templates with kotlinx.html DSL or Kotlin multiline interpolated String.

build.gradle.kts

dependencies {
        runtime("org.jetbrains.kotlin:kotlin-scripting-jsr223:${kotlinVersion}")
}

Configuration is usually done with ScriptTemplateConfigurer and ScriptTemplateViewResolver beans.

KotlinScriptConfiguration.kt

@Configuration
class KotlinScriptConfiguration {

    @Bean
	fun kotlinScriptConfigurer() = ScriptTemplateConfigurer().apply {
		engineName = "kotlin"
		setScripts("scripts/render.kts")
		renderFunction = "render"
		isSharedEngine = false
	}

    @Bean
    fun kotlinScriptViewResolver() = ScriptTemplateViewResolver().apply {
        setPrefix("templates/")
        setSuffix(".kts")
    }
}

See the kotlin-script-templating example project for more details.

Kotlin multiplatform serialization

As of Spring Framework 5.3, Kotlin multiplatform serialization is supported in Spring MVC, Spring WebFlux and Spring Messaging (RSocket). The builtin support currently targets CBOR, JSON, and ProtoBuf formats.

To enable it, follow those instructions to add the related dependency and plugin. With Spring MVC and WebFlux, both Kotlin serialization and Jackson will be configured by default if they are in the classpath since Kotlin serialization is designed to serialize only Kotlin classes annotated with @Serializable. With Spring Messaging (RSocket), make sure that neither Jackson, GSON or JSONB are in the classpath if you want automatic configuration, if Jackson is needed configure KotlinSerializationJsonMessageConverter manually.

Coroutines

Kotlin Coroutines are Kotlin lightweight threads allowing to write non-blocking code in an imperative way. On language side, suspending functions provides an abstraction for asynchronous operations while on library side kotlinx.coroutines provides functions like async { } and types like Flow.

Spring Framework provides support for Coroutines on the following scope:

Deferred and Flow return values support in Spring MVC and WebFlux annotated @Controller
Suspending function support in Spring MVC and WebFlux annotated @Controller
Extensions for WebFlux {docs-spring-framework}/kdoc-api/spring-webflux/org.springframework.web.reactive.function.client/index.html[client] and {docs-spring-framework}/kdoc-api/spring-webflux/org.springframework.web.reactive.function.server/index.html[server] functional API.
WebFlux.fn {docs-spring-framework}/kdoc-api/spring-webflux/org.springframework.web.reactive.function.server/co-router.html[coRouter { }] DSL
Suspending function and Flow support in RSocket @MessageMapping annotated methods
Extensions for {docs-spring-framework}/kdoc-api/spring-messaging/org.springframework.messaging.rsocket/index.html[RSocketRequester]

Dependencies

Coroutines support is enabled when kotlinx-coroutines-core and kotlinx-coroutines-reactor dependencies are in the classpath:

build.gradle.kts

dependencies {

	implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core:${coroutinesVersion}")
	implementation("org.jetbrains.kotlinx:kotlinx-coroutines-reactor:${coroutinesVersion}")
}

Version 1.4.0 and above are supported.

How Reactive translates to Coroutines?

For return values, the translation from Reactive to Coroutines APIs is the following:

fun handler(): Mono<Void> becomes suspend fun handler()
fun handler(): Mono<T> becomes suspend fun handler(): T or suspend fun handler(): T? depending on if the Mono can be empty or not (with the advantage of being more statically typed)
fun handler(): Flux<T> becomes fun handler(): Flow<T>

For input parameters:

If laziness is not needed, fun handler(mono: Mono<T>) becomes fun handler(value: T) since a suspending functions can be invoked to get the value parameter.
If laziness is needed, fun handler(mono: Mono<T>) becomes fun handler(supplier: suspend () → T) or fun handler(supplier: suspend () → T?)

Flow is Flux equivalent in Coroutines world, suitable for hot or cold stream, finite or infinite streams, with the following main differences:

Flow is push-based while Flux is push-pull hybrid
Backpressure is implemented via suspending functions
Flow has only a single suspending collect method and operators are implemented as extensions
Operators are easy to implement thanks to Coroutines
Extensions allow to add custom operators to Flow
Collect operations are suspending functions
map operator supports asynchronous operation (no need for flatMap) since it takes a suspending function parameter

Read this blog post about Going Reactive with Spring, Coroutines and Kotlin Flow for more details, including how to run code concurrently with Coroutines.

Controllers

Here is an example of a Coroutines @RestController.

@RestController
class CoroutinesRestController(client: WebClient, banner: Banner) {

	@GetMapping("/suspend")
	suspend fun suspendingEndpoint(): Banner {
		delay(10)
		return banner
	}

	@GetMapping("/flow")
	fun flowEndpoint() = flow {
		delay(10)
		emit(banner)
		delay(10)
		emit(banner)
	}

	@GetMapping("/deferred")
	fun deferredEndpoint() = GlobalScope.async {
		delay(10)
		banner
	}

	@GetMapping("/sequential")
	suspend fun sequential(): List<Banner> {
		val banner1 = client
				.get()
				.uri("/suspend")
				.accept(MediaType.APPLICATION_JSON)
				.awaitExchange()
				.awaitBody<Banner>()
		val banner2 = client
				.get()
				.uri("/suspend")
				.accept(MediaType.APPLICATION_JSON)
				.awaitExchange()
				.awaitBody<Banner>()
		return listOf(banner1, banner2)
	}

	@GetMapping("/parallel")
	suspend fun parallel(): List<Banner> = coroutineScope {
		val deferredBanner1: Deferred<Banner> = async {
			client
					.get()
					.uri("/suspend")
					.accept(MediaType.APPLICATION_JSON)
					.awaitExchange()
					.awaitBody<Banner>()
		}
		val deferredBanner2: Deferred<Banner> = async {
			client
					.get()
					.uri("/suspend")
					.accept(MediaType.APPLICATION_JSON)
					.awaitExchange()
					.awaitBody<Banner>()
		}
		listOf(deferredBanner1.await(), deferredBanner2.await())
	}

	@GetMapping("/error")
	suspend fun error() {
		throw IllegalStateException()
	}

	@GetMapping("/cancel")
	suspend fun cancel() {
		throw CancellationException()
	}

}

View rendering with a @Controller is also supported.

@Controller
class CoroutinesViewController(banner: Banner) {

	@GetMapping("/")
	suspend fun render(model: Model): String {
		delay(10)
		model["banner"] = banner
		return "index"
	}
}

WebFlux.fn

Here is an example of Coroutines router defined via the {docs-spring-framework}/kdoc-api/spring-webflux/org.springframework.web.reactive.function.server/co-router.html[coRouter { }] DSL and related handlers.

@Configuration
class RouterConfiguration {

	@Bean
	fun mainRouter(userHandler: UserHandler) = coRouter {
		GET("/", userHandler::listView)
		GET("/api/user", userHandler::listApi)
	}
}

class UserHandler(builder: WebClient.Builder) {

	private val client = builder.baseUrl("...").build()

	suspend fun listView(request: ServerRequest): ServerResponse =
			ServerResponse.ok().renderAndAwait("users", mapOf("users" to
			client.get().uri("...").awaitExchange().awaitBody<User>()))

	suspend fun listApi(request: ServerRequest): ServerResponse =
				ServerResponse.ok().contentType(MediaType.APPLICATION_JSON).bodyAndAwait(
				client.get().uri("...").awaitExchange().awaitBody<User>())
}

Transactions

Transactions on Coroutines are supported via the programmatic variant of the Reactive transaction management provided as of Spring Framework 5.2.

For suspending functions, a TransactionalOperator.executeAndAwait extension is provided.

import org.springframework.transaction.reactive.executeAndAwait

class PersonRepository(private val operator: TransactionalOperator) {

    suspend fun initDatabase() = operator.executeAndAwait {
        insertPerson1()
        insertPerson2()
    }

    private suspend fun insertPerson1() {
        // INSERT SQL statement
    }

    private suspend fun insertPerson2() {
        // INSERT SQL statement
    }
}

For Kotlin Flow, a Flow<T>.transactional extension is provided.

import org.springframework.transaction.reactive.transactional

class PersonRepository(private val operator: TransactionalOperator) {

    fun updatePeople() = findPeople().map(::updatePerson).transactional(operator)

    private fun findPeople(): Flow<Person> {
        // SELECT SQL statement
    }

    private suspend fun updatePerson(person: Person): Person {
        // UPDATE SQL statement
    }
}

Spring Projects in Kotlin

This section provides some specific hints and recommendations worth for developing Spring projects in Kotlin.

Final by Default

By default, all classes in Kotlin are final. The open modifier on a class is the opposite of Java’s final: It allows others to inherit from this class. This also applies to member functions, in that they need to be marked as open to be overridden.

While Kotlin’s JVM-friendly design is generally frictionless with Spring, this specific Kotlin feature can prevent the application from starting, if this fact is not taken into consideration. This is because Spring beans (such as @Configuration annotated classes which by default need to be extended at runtime for technical reasons) are normally proxied by CGLIB. The workaround is to add an open keyword on each class and member function of Spring beans that are proxied by CGLIB, which can quickly become painful and is against the Kotlin principle of keeping code concise and predictable.

Note	It is also possible to avoid CGLIB proxies for configuration classes by using `@Configuration(proxyBeanMethods = false)`. See {api-spring-framework}/context/annotation/Configuration.html#proxyBeanMethods--[`proxyBeanMethods` Javadoc] for more details.

Fortunately, Kotlin provides a kotlin-spring plugin (a preconfigured version of the kotlin-allopen plugin) that automatically opens classes and their member functions for types that are annotated or meta-annotated with one of the following annotations:

@Component
@Async
@Transactional
@Cacheable

Meta-annotation support means that types annotated with @Configuration, @Controller, @RestController, @Service, or @Repository are automatically opened since these annotations are meta-annotated with @Component.

start.spring.io enables the kotlin-spring plugin by default. So, in practice, you can write your Kotlin beans without any additional open keyword, as in Java.

Note	The Kotlin code samples in Spring Framework documentation do not explicitly specify `open` on the classes and their member functions. The samples are written for projects using the `kotlin-allopen` plugin, since this is the most commonly used setup.

Using Immutable Class Instances for Persistence

In Kotlin, it is convenient and considered to be a best practice to declare read-only properties within the primary constructor, as in the following example:

class Person(val name: String, val age: Int)

You can optionally add the data keyword to make the compiler automatically derive the following members from all properties declared in the primary constructor:

equals() and hashCode()
toString() of the form "User(name=John, age=42)"
componentN() functions that correspond to the properties in their order of declaration
copy() function

As the following example shows, this allows for easy changes to individual properties, even if Person properties are read-only:

data class Person(val name: String, val age: Int)

val jack = Person(name = "Jack", age = 1)
val olderJack = jack.copy(age = 2)

Common persistence technologies (such as JPA) require a default constructor, preventing this kind of design. Fortunately, there is a workaround for this “default constructor hell”, since Kotlin provides a kotlin-jpa plugin that generates synthetic no-arg constructor for classes annotated with JPA annotations.

If you need to leverage this kind of mechanism for other persistence technologies, you can configure the kotlin-noarg plugin.

Note	As of the Kay release train, Spring Data supports Kotlin immutable class instances and does not require the `kotlin-noarg` plugin if the module uses Spring Data object mappings (such as MongoDB, Redis, Cassandra, and others).

Injecting Dependencies

Our recommendation is to try to favor constructor injection with val read-only (and non-nullable when possible) properties, as the following example shows:

@Component
class YourBean(
	private val mongoTemplate: MongoTemplate,
	private val solrClient: SolrClient
)

Note	Classes with a single constructor have their parameters automatically autowired. That’s why there is no need for an explicit `@Autowired constructor` in the example shown above.

If you really need to use field injection, you can use the lateinit var construct, as the following example shows:

@Component
class YourBean {

	@Autowired
	lateinit var mongoTemplate: MongoTemplate

	@Autowired
	lateinit var solrClient: SolrClient
}

Injecting Configuration Properties

In Java, you can inject configuration properties by using annotations (such as @Value("${property}")). However, in Kotlin, $ is a reserved character that is used for string interpolation.

Therefore, if you wish to use the @Value annotation in Kotlin, you need to escape the $ character by writing @Value("\${property}").

Note	If you use Spring Boot, you should probably use `@ConfigurationProperties` instead of `@Value` annotations.

As an alternative, you can customize the property placeholder prefix by declaring the following configuration beans:

@Bean
fun propertyConfigurer() = PropertySourcesPlaceholderConfigurer().apply {
	setPlaceholderPrefix("%{")
}

You can customize existing code (such as Spring Boot actuators or @LocalServerPort) that uses the ${…} syntax, with configuration beans, as the following example shows:

@Bean
fun kotlinPropertyConfigurer() = PropertySourcesPlaceholderConfigurer().apply {
	setPlaceholderPrefix("%{")
	setIgnoreUnresolvablePlaceholders(true)
}

@Bean
fun defaultPropertyConfigurer() = PropertySourcesPlaceholderConfigurer()

Checked Exceptions

Java and Kotlin exception handling are pretty close, with the main difference being that Kotlin treats all exceptions as unchecked exceptions. However, when using proxied objects (for example classes or methods annotated with @Transactional), checked exceptions thrown will be wrapped by default in an UndeclaredThrowableException.

To get the original exception thrown like in Java, methods should be annotated with @Throws to specify explicitly the checked exceptions thrown (for example @Throws(IOException::class)).

Annotation Array Attributes

Kotlin annotations are mostly similar to Java annotations, but array attributes (which are extensively used in Spring) behave differently. As explained in the Kotlin documentation you can omit the value attribute name, unlike other attributes, and specify it as a vararg parameter.

To understand what that means, consider @RequestMapping (which is one of the most widely used Spring annotations) as an example. This Java annotation is declared as follows:

public @interface RequestMapping {

	@AliasFor("path")
	String[] value() default {};

	@AliasFor("value")
	String[] path() default {};

	RequestMethod[] method() default {};

	// ...
}

The typical use case for @RequestMapping is to map a handler method to a specific path and method. In Java, you can specify a single value for the annotation array attribute, and it is automatically converted to an array.

That is why one can write @RequestMapping(value = "/toys", method = RequestMethod.GET) or @RequestMapping(path = "/toys", method = RequestMethod.GET).

However, in Kotlin, you must write @RequestMapping("/toys", method = [RequestMethod.GET]) or @RequestMapping(path = ["/toys"], method = [RequestMethod.GET]) (square brackets need to be specified with named array attributes).

An alternative for this specific method attribute (the most common one) is to use a shortcut annotation, such as @GetMapping, @PostMapping, and others.

Note	If the `@RequestMapping` `method` attribute is not specified, all HTTP methods will be matched, not only the `GET` method.

Testing

This section addresses testing with the combination of Kotlin and Spring Framework. The recommended testing framework is JUnit 5 along with Mockk for mocking.

Note	If you are using Spring Boot, see this related documentation.

Constructor injection

As described in the dedicated section, JUnit 5 allows constructor injection of beans which is pretty useful with Kotlin in order to use val instead of lateinit var. You can use {api-spring-framework}/test/context/TestConstructor.html[@TestConstructor(autowireMode = AutowireMode.ALL)] to enable autowiring for all parameters.

@SpringJUnitConfig(TestConfig::class)
@TestConstructor(autowireMode = AutowireMode.ALL)
class OrderServiceIntegrationTests(val orderService: OrderService,
                                   val customerService: CustomerService) {

    // tests that use the injected OrderService and CustomerService
}

`PER_CLASS` Lifecycle

Kotlin lets you specify meaningful test function names between backticks (`). As of JUnit 5, Kotlin test classes can use the @TestInstance(TestInstance.Lifecycle.PER_CLASS) annotation to enable single instantiation of test classes, which allows the use of @BeforeAll and @AfterAll annotations on non-static methods, which is a good fit for Kotlin.

You can also change the default behavior to PER_CLASS thanks to a junit-platform.properties file with a junit.jupiter.testinstance.lifecycle.default = per_class property.

The following example demonstrates @BeforeAll and @AfterAll annotations on non-static methods:

@TestInstance(TestInstance.Lifecycle.PER_CLASS)
class IntegrationTests {

  val application = Application(8181)
  val client = WebClient.create("http://localhost:8181")

  @BeforeAll
  fun beforeAll() {
    application.start()
  }

  @Test
  fun `Find all users on HTML page`() {
    client.get().uri("/users")
        .accept(TEXT_HTML)
        .retrieve()
        .bodyToMono<String>()
        .test()
        .expectNextMatches { it.contains("Foo") }
        .verifyComplete()
  }

  @AfterAll
  fun afterAll() {
    application.stop()
  }
}

Specification-like Tests

You can create specification-like tests with JUnit 5 and Kotlin. The following example shows how to do so:

class SpecificationLikeTests {

  @Nested
  @DisplayName("a calculator")
  inner class Calculator {
     val calculator = SampleCalculator()

     @Test
     fun `should return the result of adding the first number to the second number`() {
        val sum = calculator.sum(2, 4)
        assertEquals(6, sum)
     }

     @Test
     fun `should return the result of subtracting the second number from the first number`() {
        val subtract = calculator.subtract(4, 2)
        assertEquals(2, subtract)
     }
  }
}

`WebTestClient` Type Inference Issue in Kotlin

Due to a type inference issue, you must use the Kotlin expectBody extension (such as .expectBody<String>().isEqualTo("toys")), since it provides a workaround for the Kotlin issue with the Java API.

Getting Started

The easiest way to learn how to build a Spring application with Kotlin is to follow the dedicated tutorial.

`start.spring.io`

The easiest way to start a new Spring Framework project in Kotlin is to create a new Spring Boot 2 project on start.spring.io.

Choosing the Web Flavor

Spring Framework now comes with two different web stacks: Spring MVC and Spring WebFlux.

Spring WebFlux is recommended if you want to create applications that will deal with latency, long-lived connections, streaming scenarios or if you want to use the web functional Kotlin DSL.

For other use cases, especially if you are using blocking technologies such as JPA, Spring MVC and its annotation-based programming model is the recommended choice.

Resources

We recommend the following resources for people learning how to build applications with Kotlin and the Spring Framework:

Kotlin language reference
Kotlin Slack (with a dedicated #spring channel)
Stackoverflow, with spring and kotlin tags
Try Kotlin in your browser
Kotlin blog
Awesome Kotlin

Examples

The following Github projects offer examples that you can learn from and possibly even extend:

spring-boot-kotlin-demo: Regular Spring Boot and Spring Data JPA project
mixit: Spring Boot 2, WebFlux, and Reactive Spring Data MongoDB
spring-kotlin-functional: Standalone WebFlux and functional bean definition DSL
spring-kotlin-fullstack: WebFlux Kotlin fullstack example with Kotlin2js for frontend instead of JavaScript or TypeScript
spring-petclinic-kotlin: Kotlin version of the Spring PetClinic Sample Application
spring-kotlin-deepdive: A step-by-step migration guide for Boot 1.0 and Java to Boot 2.0 and Kotlin
spring-cloud-gcp-kotlin-app-sample: Spring Boot with Google Cloud Platform Integrations

Issues

The following list categorizes the pending issues related to Spring and Kotlin support:

Spring Framework
- Unable to use WebTestClient with mock server in Kotlin
- Support null-safety at generics, varargs and array elements level
Kotlin

Files

kotlin.adoc

Latest commit

History

kotlin.adoc

File metadata and controls

Kotlin

Requirements

Extensions

Null-safety

Classes and Interfaces

Annotations

Bean Definition DSL

Web

Router DSL

MockMvc DSL

Kotlin Script Templates

Kotlin multiplatform serialization

Coroutines

Dependencies

How Reactive translates to Coroutines?

Controllers

WebFlux.fn

Transactions

Spring Projects in Kotlin

Final by Default

Using Immutable Class Instances for Persistence

Injecting Dependencies

Injecting Configuration Properties

Checked Exceptions

Annotation Array Attributes

Testing

Constructor injection

PER_CLASS Lifecycle

Specification-like Tests

WebTestClient Type Inference Issue in Kotlin

Getting Started

start.spring.io

Choosing the Web Flavor

Resources

Examples

Issues

`PER_CLASS` Lifecycle

`WebTestClient` Type Inference Issue in Kotlin

`start.spring.io`