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+ + + \ No newline at end of file From 59d8a9cd2013cd23ad22249b6886adcd09ef2aa4 Mon Sep 17 00:00:00 2001 From: Anton Arhipov Date: Tue, 19 Jan 2021 15:05:12 +0200 Subject: [PATCH 02/18] Create README.adoc --- README.adoc | 1 + 1 file changed, 1 insertion(+) create mode 100644 README.adoc diff --git a/README.adoc b/README.adoc new file mode 100644 index 0000000..ac26047 --- /dev/null +++ b/README.adoc @@ -0,0 +1 @@ +### Spring + Kotlin tutorial From de1ef41802262312ab62eae6e2e0745973a1044f Mon Sep 17 00:00:00 2001 From: Anton Arhipov Date: Tue, 2 Feb 2021 00:29:47 +0200 Subject: [PATCH 03/18] added the tutorial in asciidoc format --- README.adoc | 1416 ++++++++++++++++- images/application-architecture.png | Bin 0 -> 260218 bytes images/download-from-vcs-github.png | Bin 0 -> 52792 bytes images/download-from-vcs.png | Bin 0 -> 103856 bytes images/intellij-git-branches.png | Bin 0 -> 489908 bytes .../intellij-git-compare-with-branch-diff.png | Bin 0 -> 221411 bytes ...llij-git-compare-with-branch-file-diff.png | Bin 0 -> 296471 bytes images/intellij-git-compare-with-branch.png | Bin 0 -> 502233 bytes images/intellij-gradle-reload.png | Bin 0 -> 264056 bytes images/intellij-run-app-from-main.png | Bin 0 -> 297863 bytes images/intellij-running-tests.png | Bin 0 -> 426364 bytes images/project-tree.png | Bin 0 -> 92370 bytes images/schema-sql-location.png | Bin 0 -> 11734 bytes 13 files changed, 1415 insertions(+), 1 deletion(-) create mode 100644 images/application-architecture.png create mode 100644 images/download-from-vcs-github.png create mode 100644 images/download-from-vcs.png create mode 100644 images/intellij-git-branches.png create mode 100644 images/intellij-git-compare-with-branch-diff.png create mode 100644 images/intellij-git-compare-with-branch-file-diff.png create mode 100644 images/intellij-git-compare-with-branch.png create mode 100644 images/intellij-gradle-reload.png create mode 100644 images/intellij-run-app-from-main.png create mode 100644 images/intellij-running-tests.png create mode 100644 images/project-tree.png create mode 100644 images/schema-sql-location.png diff --git a/README.adoc b/README.adoc index ac26047..72b24a4 100644 --- a/README.adoc +++ b/README.adoc @@ -1 +1,1415 @@ -### Spring + Kotlin tutorial +:toc: +:icons: font +:source-highlighter: prettify +:project_id: tut-spring-webflux-kotlin-rsocket +:tabsize: 2 + +== Introduction + +The tutorial shows you how to build a simple chat application using Spring Boot and Kotlin. You will learn about the benefits of using Kotlin for server-side development from a syntax perspective. + +We’ll start with a minimal implementation of the application, and we will evolve it step by step.At the start, the application will generate and display fake messages and use the classical blocking request-response model to get data to the UI.Through the tutorial, we are going to evolve the application by adding persistence and extensions, and migrating to a non-blocking streaming style for serving the data from the backend to the UI. + +The tutorial consists of 5 parts: + +* Part 1: Initial setup and introduction to the project +* Part 2: Adding persistence and integration tests +* Part 3: Implementing extensions +* Part 4: Refactoring to Spring WebFlux with Kotlin Coroutines +* Part 5: Streaming with RSocket + +This tutorial is designed for Java developers who have already had their hands on Spring MVC / WebFlux and want to see how to use Kotlin with Spring. + + +== Part 1: Initial setup and introduction to the project + +To start working on this tutorial, we'll need one of the latest versions of IntelliJ IDEA – any version from 2018.1 onwards.You can download the latest free community version [here](https://www.jetbrains.com/idea/download). + +This project is based on Spring Boot 2.4.0, which requires Kotlin 1.4.10. Make sure version 1.4+ of the Kotlin plugin is installed.To update the Kotlin plugin, use `Tools | Kotlin | Configure Kotlin Plugin Updates`. + +=== Downloading the project + +Clone the repository from IntelliJ IDEA by choosing `File | New | Project from Version Control`. + +image::./images/download-from-vcs.png[] + +Specify the project path: http://github.com/kotlin-hands-on/kotlin-spring-chat. + +image::./images/download-from-vcs-github.png[] + +Once you clone the project, IntelliJ IDEA will import and open it automatically. +Alternatively, you can clone the project with the command line: + +[source,bash] +$ git clone https://github.com/kotlin-hands-on/kotlin-spring-chat. + +=== Solution branches + +Note that the project includes solution branches for each part of the tutorial. You can browse all the branches in the IDE by invoking the Branches action: + +image::./images/intellij-git-branches.png[] + +Or you can use the command line: + +[source,bash] +git branch -a + +It is possible to use the `Compare with branch` command in IntelliJ IDEA to compare your solution with the proposed one. + +image::./images/intellij-git-compare-with-branch.png[] + +For instance, here is the list differences between the `initial` branch and `part-2` branch: + +image::./images/intellij-git-compare-with-branch-diff.png[] + +By clicking on the individual files, you can see the changes at a line level. + +image::./images/intellij-git-compare-with-branch-file-diff.png[] + +This should help you in the event that you have any trouble with the instructions at any stage of the tutorial. + +=== Launching the application +The `main` method for the application is located in the `ChatKotlinApplication.kt` file. Simply click on the gutter icon next to the main method or hit the `Alt+Enter` shortcut to invoke the launch menu in IntelliJ IDEA: + +image::./images/intellij-run-app-from-main.png[] + +Alternatively, you can run the `./gradlew bootRun` command in the terminal. + +Once the application starts, open the following URL: http://localhost:8080. You will see a chat page with a collection of messages. + +In the following step, we will demonstrate how to integrate our application with a real database to store the messages. + +=== Project overview + +Let's take a look at the general application overview. In this tutorial, we are going to build a simple chat application that has the following architecture: + +image::./images/application-architecture.png[] + +Our application is an ordinary 3-tier web application. The client facing tier is implemented by the `HtmlController` and `MessagesResource` classes. The application makes use of server-side rendering via the _Thymeleaf_ template engine and is served by `HtmlController`. The message data API is provided by `MessagesResource`, which connects to the service layer. + +The service layer is represented by `MessagesService`, which has two different implementations: + +* `FakeMessageService` – the first implementation, which produces random messages +* `PersistentMessageService` - the second implementation, which works with real data storage. We will add this implementation in part 2 of this tutorial. + +The `PersistentMessageService` connects to a database to store the messages. We will use the H2 database and access it via the Spring Data Repository API. + +After you have downloaded the project sources and opened them in the IDE, you will see the following structure, which includes the classes mentioned above. + +image::./images/project-tree.png[] + + +Under the `main/kotlin` folder there are packages and classes that belong to the application. In that folder, we are going to add more classes and make changes to the existing code to evolve the application. + +In the `main/resources` folder you will find various static resources and configuration files. + +The `test/kotlin` folder contains tests. We are going to make changes to the test sources accordingly with the changes to the main application. + +The entry point to the application is the `ChatKotlinApplication.kt` file. This is where the `main` method is. + +==== HtmlController + +`HtmlController` is a `@Controller` annotated endpoint which will be exposing an HTML page generated using the https://www.thymeleaf.org/doc/tutorials/3.0/thymeleafspring.html[Thymeleaf template engine] + +[source,kotlin] +----- +import com.example.kotlin.chat.service.MessageService +import com.example.kotlin.chat.service.MessageVM +import org.springframework.stereotype.Controller +import org.springframework.ui.Model +import org.springframework.ui.set +import org.springframework.web.bind.annotation.GetMapping + +@Controller +class HtmlController(val messageService: MessageService) { + @GetMapping("/") + fun index(model: Model): String { + val messages = messageService.latest() + + model["messages"] = messages + model["lastMessageId"] = messages.lastOrNull()?.id ?: "" + return "chat" + } +} +----- + +💡One of the features you can immediately spot in Kotlin is the https://kotlinlang.org/spec/type-inference.html[type inference]. It means that some type of information in the code may be omitted, to be inferred by the compiler. + +In our example above, the compiler knows that the type of the `messages` variable is `List<MessageVM>` from looking at the return type of the `messageService.latest()` function. + +💡Spring Web users may notice that `Model` is used in this example as a `Map` even though it does not extend this API. This becomes possible with https://docs.spring.io/spring-framework/docs/5.0.0.RELEASE/kdoc-api/spring-framework/org.springframework.ui/index.html[another Kotlin extension], which provides overloading for the `set` operator. For more information, please see the https://kotlinlang.org/docs/reference/operator-overloading.html[operator overloading] documentation. + +💡 https://kotlinlang.org/docs/reference/null-safety.html[Null safety] is one of the most important features of the language. In the example above, you can see an application of this feature: `messages.lastOrNull()?.id ?: "".` First, `?.` is the https://kotlinlang.org/docs/reference/null-safety.html#safe-calls[safe call] operator, which checks whether the result of `lastOrNull()` is `null` and then gets an `id`. If the result of the expression is `null`, then we use an https://kotlinlang.org/docs/reference/null-safety.html#elvis-operator[Elvis operator] to provide a default value, which in our example is an empty string (`""`). + +==== MessageResource + +We need an API endpoint to serve polling requests. This functionality is implemented by the `MessageResource` class, which exposes the latest messages in JSON format. + +If the `lastMessageId` query parameter is specified, the endpoint serves the latest messages after the specific message-id, otherwise, it serves all available messages. + + +[source,kotlin] +----- +@RestController +@RequestMapping("/api/v1/messages") +class MessageResource(val messageService: MessageService) { + + @GetMapping + fun latest(@RequestParam(value = "lastMessageId", defaultValue = "") lastMessageId: String): ResponseEntity> { + val messages = if (lastMessageId.isNotEmpty()) { + messageService.after(lastMessageId) + } else { + messageService.latest() + } + + return if (messages.isEmpty()) { + with(ResponseEntity.noContent()) { + header("lastMessageId", lastMessageId) + build>() + } + } else { + with(ResponseEntity.ok()) { + header("lastMessageId", messages.last().id) + body(messages) + } + } + } + + @PostMapping + fun post(@RequestBody message: MessageVM) { + messageService.post(message) + } +} +----- + +💡In Kotlin, `if` https://kotlinlang.org/docs/reference/control-flow.html#if-expression[is an expression], and it returns a value. This is why we can assign the result of an `if` expression to a variable: `val messages = if (lastMessageId.isNotEmpty()) { … }` + +💡 The Kotlin standard library contains https://kotlinlang.org/docs/reference/scope-functions.html[scope functions] whose sole purpose is to execute a block of code within the context of an object. In the example above, we use the https://kotlinlang.org/docs/reference/scope-functions.html#with[`with()`] function to build a response object. + + +==== FakeMessageService + +`FakeMessageService` is the initial implementation of the `MessageService` interface. It supplies fake data to our chat. We use the http://dius.github.io/java-faker/[Java Faker] library to generate the fake data. The service generates random messages using famous quotes from Shakespeare, Yoda, and Rick & Morty: + + +[source,kotlin] +----- +@Service +class FakeMessageService : MessageService { + + val users: Map = mapOf( + "Shakespeare" to UserVM("Shakespeare", URL("https://blog.12min.com/wp-content/uploads/2018/05/27d-William-Shakespeare.jpg")), + "RickAndMorty" to UserVM("RickAndMorty", URL("http://thecircular.org/wp-content/uploads/2015/04/rick-and-morty-fb-pic1.jpg")), + "Yoda" to UserVM("Yoda", URL("https://news.toyark.com/wp-content/uploads/sites/4/2019/03/SH-Figuarts-Yoda-001.jpg")) + ) + + val usersQuotes: Map String> = mapOf( + "Shakespeare" to { Faker.instance().shakespeare().asYouLikeItQuote() }, + "RickAndMorty" to { Faker.instance().rickAndMorty().quote() }, + "Yoda" to { Faker.instance().yoda().quote() } + ) + + override fun latest(): List { + val count = Random.nextInt(1, 15) + return (0..count).map { + val user = users.values.random() + val userQuote = usersQuotes.getValue(user.name).invoke() + + MessageVM(userQuote, user, Instant.now(), + Random.nextBytes(10).toString()) + }.toList() + } + + override fun after(lastMessageId: String): List { + return latest() + } + + override fun post(message: MessageVM) { + TODO("Not yet implemented") + } +} +----- + + +💡 Kotlin features https://kotlinlang.org/docs/reference/lambdas.html#function-types[functional types], which we often use in a form of https://kotlinlang.org/docs/reference/lambdas.html#lambda-expressions-and-anonymous-functions[lambda expressions]. In the example above, `userQuotes` is a map object where the keys are strings and the values are lambda expressions. A type signature of `() -> String` says that the lambda expression takes no arguments and produces `String` as a result. Hence, the type of `userQuotes` is specified as `Map<String, () -> String>` + +💡 The `mapOf` function lets you create a map of `Pair`s, where the pair’s definition is provided with an https://kotlinlang.org/docs/reference/extensions.html[extension] method `<A, B> A.to(that: B): Pair<A, B>`. + +💡 The `TODO()` function plays two roles: the reminder role and the stab role, as it always throws the `NotImplementedError` exception. + +The main task of the `FakeMessageService` class is to generate a random number of fake messages to be sent to the chat’s UI. The `latest()` method is the place where this logic is implemented. + +[source,kotlin] +----- +val count = Random.nextInt(1, 15) +return (0..count).map { + val user = users.values.random() + val userQuote = usersQuotes.getValue(user.name).invoke() + + MessageVM(userQuote, user, Instant.now(), Random.nextBytes(10).toString()) + }.toList() +----- + +In Kotlin, to generate a https://kotlinlang.org/docs/reference/ranges.html[range] of integers all we need to do is say `(0..count)`. We then apply a `map()` function to transform each number into a message. + +Notably, the selection of a random element from any collection is also quite simple. Kotlin provides an extension method for collections, which is called `random()`. We use this extension method to select and return a user from the list: `users.values.random()` + +Once the user is selected, we need to acquire the user’s quote from the `userQuotes` map. The selected value from `userQuotes` is actually a lambda expression that we have to invoke in order to acquire a real quote: `usersQuotes.getValue(user.name).invoke()` + +Next, we create an instance of the `MessageVM` class. This is a view model used to deliver data to a client: + +[source,kotlin] +----- +data class MessageVM(val content: String, val user: UserVM, val sent: Instant, val id: String? = null) +----- + +💡For https://kotlinlang.org/docs/reference/data-classes.html[data classes], the compiler automatically generates the `toString`, `equals`, and `hashCode` functions, minimizing the amount of utility code that you have to write. + +== Part 2: Adding persistence and integration tests + +In this part, we will implement a persisting version of the `MessageService` interface using Spring Data JDBC and H2 as the database. We will introduce the following classes: + +* `PersistentMessageService` – an implementation of the `MessageService` interface, which will interact with the real data storage via the Spring Data Repository API. +* `MessageRepository` – a repository implementation used by `MessageService.` + +=== Adding new dependencies +First of all, we have to add the required dependencies to the project. For that, we need to add to the following lines to the `dependencies` block in the` build.gradle.kts `file: + +[source,kotlin] +----- +implementation("org.springframework.boot:spring-boot-starter-data-jdbc") +runtimeOnly("com.h2database:h2") +----- + +⚠️ Note, in this example, we use `spring-data-jdbc` as a lightweight and straightforward way to use JDBC in Spring Framework. If you wish to see an example of JPA usage, please see the following https://spring.io/guides/tutorials/spring-boot-kotlin/?#_persistence_with_jpa[blog post]. + +⚠️ To refresh the list of the project dependencies, click on the little elephant icon that appears in the top right-hand corner of the editor. + +image::./images/intellij-gradle-reload.png[] + +=== Create database schema and configuration + +Once the dependencies are added and resolved, we can start modeling our database schema. Since this is a demo project, we will not be designing anything complex and we’ll stick to the following structure: + +[source,sql] +----- +CREATE TABLE IF NOT EXISTS messages ( + id VARCHAR(60) DEFAULT RANDOM_UUID() PRIMARY KEY, + content VARCHAR NOT NULL, + content_type VARCHAR(128) NOT NULL, + sent TIMESTAMP NOT NULL, + username VARCHAR(60) NOT NULL, + user_avatar_image_link VARCHAR(256) NOT NULL +); +----- + +⌨️ Create a new folder called `sql` in the `src/main/resources` directory. Then put the SQL code from above into the `src/main/resources/sql/schema.sql` file. + +image::./images/schema-sql-location.png[] + +Also, you should modify `application.properties` so it contains the following attributes: + +[source,properties] +----- +spring.datasource.schema=classpath:sql/schema.sql +spring.datasource.url=jdbc:h2:file:./build/data/testdb +spring.datasource.driverClassName=org.h2.Driver +spring.datasource.username=sa +spring.datasource.password=password +spring.datasource.initialization-mode=always +----- + +=== Working with data + +Using Spring Data, the table mentioned above can be expressed using the following domain classes, which should be put in the `src/main/kotlin/com/example/kotlin/chat/repository/DomainModel.kt `file: + +[source,kotlin] +----- +import org.springframework.data.annotation.Id +import org.springframework.data.relational.core.mapping.Table +import java.time.Instant + +@Table("MESSAGES") +data class Message( + val content: String, + val contentType: ContentType, + val sent: Instant, + val username: String, + val userAvatarImageLink: String, + @Id var id: String? = null) + +enum class ContentType { + PLAIN +} +----- + +There are a few things here that require explanation. Fields like `content`, `sent`, and `id` mirror the `MessageVM` class. However, to decrease the number of tables and simplify the final relationship structure, we’ve flattened the `User` object and make its fields a part of the `Message` class. Apart from that, there is a new extra field called `contentType`, which indicates the content type of the stored message. Since most modern chats support different markup languages, it is common to support different message content encodings. At first we will just support `PLAIN` text, but later we will extend `ContentType` to support the `MARKDOWN` type, too. + +Once we have the table representation as a class, we may introduce convenient access to the data via `Repository`. + +⌨️ Put `MessageRepository.kt` in the `src/main/kotlin/com/example/kotlin/chat/repository` folder. + +[source,kotlin] +----- +import org.springframework.data.jdbc.repository.query.Query +import org.springframework.data.repository.CrudRepository +import org.springframework.data.repository.query.Param + +interface MessageRepository : CrudRepository { + + // language=SQL + @Query(""" + SELECT * FROM ( + SELECT * FROM MESSAGES + ORDER BY "SENT" DESC + LIMIT 10 + ) ORDER BY "SENT" + """) + fun findLatest(): List + + // language=SQL + @Query(""" + SELECT * FROM ( + SELECT * FROM MESSAGES + WHERE SENT > (SELECT SENT FROM MESSAGES WHERE ID = :id) + ORDER BY "SENT" DESC + ) ORDER BY "SENT" + """) + fun findLatest(@Param("id") id: String): List +} +----- + +Our `MessageRepository` extends an ordinary `CrudRepository` and provides two different methods with custom queries for retrieving the latest messages and for retrieving messages associated with specific message IDs. + +💡 Did you notice the https://kotlinlang.org/docs/reference/basic-types.html#string-literals[multiline Strings] used to express the SQL query in the readable format? Kotlin provides a set of useful additions for Strings. You can learn more about these additions in the Kotlin language https://kotlinlang.org/docs/reference/basic-types.html#strings[documentation] + +Our next step is implementing the `MessageService` class that integrates with the `MessageRepository` class. + +⌨️ Put the `PersistentMessageService` class into the `src/main/kotlin/com/example/kotlin/chat/service` folder, replacing the previous `FakeMessageService` implementation. + +[source,kotlin] +----- +package com.example.kotlin.chat.service + +import com.example.kotlin.chat.repository.ContentType +import com.example.kotlin.chat.repository.Message +import com.example.kotlin.chat.repository.MessageRepository +import org.springframework.context.annotation.Primary +import org.springframework.stereotype.Service +import java.net.URL + +@Service +@Primary +class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { + + override fun latest(): List = + messageRepository.findLatest() + .map { with(it) { MessageVM(content, UserVM(username, + URL(userAvatarImageLink)), sent, id) } } + + override fun after(lastMessageId: String): List = + messageRepository.findLatest(lastMessageId) + .map { with(it) { MessageVM(content, UserVM(username, + URL(userAvatarImageLink)), sent, id) } } + + override fun post(message: MessageVM) { + messageRepository.save( + with(message) { Message(content, ContentType.PLAIN, sent, + user.name, user.avatarImageLink.toString()) } + ) + } +} +----- + +`PersistentMessageService` is a thin layer for the `MessageRepository`, since here we are just doing some simple object mapping. All business queries take place on the `Repository` level. On the other hand, the simplicity of this implementation is the merit of the Kotlin language, which provides extension functions like `map` and `with`. + +If we now launch the application, we will once again see an empty chat page. However, if we type a message into the text input and send it, we will see it appear on the screen a few moments later. If we open a new browser page, we will see this message again as a part of the message history. + +Finally, we can write a few integration tests to ensure that our code will continue to work properly over time. + +=== Adding integration tests + +To begin, we have to modify the `ChatKotlinApplicationTests` file in `/src/test` and add the fields we will need to use in the tests: + +[source,kotlin] +----- +import com.example.kotlin.chat.repository.ContentType +import com.example.kotlin.chat.repository.Message +import com.example.kotlin.chat.repository.MessageRepository +import com.example.kotlin.chat.service.MessageVM +import com.example.kotlin.chat.service.UserVM +import org.assertj.core.api.Assertions.assertThat +import org.junit.jupiter.api.AfterEach +import org.junit.jupiter.api.BeforeEach +import org.junit.jupiter.api.Test +import org.junit.jupiter.params.ParameterizedTest +import org.junit.jupiter.params.provider.ValueSource +import org.springframework.beans.factory.annotation.Autowired +import org.springframework.boot.test.context.SpringBootTest +import org.springframework.boot.test.web.client.TestRestTemplate +import org.springframework.boot.test.web.client.postForEntity +import org.springframework.core.ParameterizedTypeReference +import org.springframework.http.HttpMethod +import org.springframework.http.RequestEntity +import java.net.URI +import java.net.URL +import java.time.Instant +import java.time.temporal.ChronoUnit.MILLIS + +@SpringBootTest( + webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT, + properties = [ + "spring.datasource.url=jdbc:h2:mem:testdb" + ] +) +class ChatKotlinApplicationTests { + + @Autowired + lateinit var client: TestRestTemplate + + @Autowired + lateinit var messageRepository: MessageRepository + + lateinit var lastMessageId: String + + val now: Instant = Instant.now() +} +----- + +We use the https://kotlinlang.org/docs/reference/properties.html#late-initialized-properties-and-variables[lateinit] keyword, which works perfectly for cases where the initialization of non-null fields has to be deferred. In our case, we use it to `@Autowire` the `MessageRepository` field and resolve `TestRestTemplate`. + +For simplicity, we will be testing three general cases: + +* Resolving message when `lastMessageId` is not available. +* Resolving message when `lastMessageId` is present. +* And sending messages. + +To test message resolution, we have to prepare some test messages, as well as clean up the storage after the completion of each case. Add the following to `ChatKotlinApplicationTests`: + +[source,kotlin] +----- +@BeforeEach +fun setUp() { + val secondBeforeNow = now.minusSeconds(1) + val twoSecondBeforeNow = now.minusSeconds(2) + val savedMessages = messageRepository.saveAll(listOf( + Message( + "*testMessage*", + ContentType.PLAIN, + twoSecondBeforeNow, + "test", + "http://test.com" + ), + Message( + "**testMessage2**", + ContentType.PLAIN, + secondBeforeNow, + "test1", + "http://test.com" + ), + Message( + "`testMessage3`", + ContentType.PLAIN, + now, + "test2", + "http://test.com" + ) + )) + lastMessageId = savedMessages.first().id ?: "" +} + +@AfterEach +fun tearDown() { + messageRepository.deleteAll() +} +----- + + +Once the preparation is done, we can create our first test case for message retrieval: + +[source,kotlin] +----- +@ParameterizedTest +@ValueSource(booleans = [true, false]) +fun `test that messages API returns latest messages`(withLastMessageId: Boolean) { + val messages: List? = client.exchange( + RequestEntity( + HttpMethod.GET, + URI("/api/v1/messages?lastMessageId=${if (withLastMessageId) lastMessageId else ""}") + ), + object : ParameterizedTypeReference>() {}).body + + if (!withLastMessageId) { + assertThat(messages?.map { with(it) { copy(id = null, sent = sent.truncatedTo(MILLIS))}}) + .first() + .isEqualTo(MessageVM( + "*testMessage*", + UserVM("test", URL("http://test.com")), + now.minusSeconds(2).truncatedTo(MILLIS) + )) + } + + assertThat(messages?.map { with(it) { copy(id = null, sent = sent.truncatedTo(MILLIS))}}) + .containsSubsequence( + MessageVM( + "**testMessage2**", + UserVM("test1", URL("http://test.com")), + now.minusSeconds(1).truncatedTo(MILLIS) + ), + MessageVM( + "`testMessage3`", + UserVM("test2", URL("http://test.com")), + now.truncatedTo(MILLIS) + ) + ) +} +----- + +💡 All data classes have a https://kotlinlang.org/docs/reference/data-classes.html#copying[`copy`] method, which lets you make a full copy of the instance while customizing certain fields if necessary. This is very useful in our case, since we want to truncate the message sent time to the same time units so we can compare the timestamps. + +💡 Kotlin’s support for https://kotlinlang.org/docs/reference/basic-types.html#string-templates[String templates] is an excellent addition for testing. + +Once we have implemented this test, the last piece that we have to implement is a message posting test. Add the following code to `ChatKotlinApplicationTests`: + +[source,kotlin] +----- +@Test +fun `test that messages posted to the API is stored`() { + client.postForEntity( + URI("/api/v1/messages"), + MessageVM( + "`HelloWorld`", + UserVM("test", URL("http://test.com")), + now.plusSeconds(1) + ) + ) + + messageRepository.findAll() + .first { it.content.contains("HelloWorld") } + .apply { + assertThat(this.copy(id = null, sent = sent.truncatedTo(MILLIS))) + .isEqualTo(Message( + "`HelloWorld`", + ContentType.PLAIN, + now.plusSeconds(1).truncatedTo(MILLIS), + "test", + "http://test.com" + )) + } +} +----- + +💡 It's acceptable to use function names with spaces enclosed in backticks _in tests_. See the related https://kotlinlang.org/docs/reference/coding-conventions.html#function-names[documentation]. + +The test above looks similar to the previous one, except we check that the posted messages are stored in the database. In this example, we can see the https://kotlinlang.org/docs/reference/scope-functions.html#run[`run`] scope function, which makes it possible to use the target object within the invocation scope as `this`. + +Once we have implemented all these tests, we can run them and see whether they pass. + +image::./images/intellij-running-tests.png[] + +At this stage, we added message persistence to our chat application. The messages can now be delivered to all active clients that connect to the application. Additionally, we can now access the historical data, so everyone can read previous messages if they need to. + +This implementation may look complete, but the code we wrote has some room for improvement. Therefore, we will see how our code can be improved with Kotlin extensions during the next step. + +== Part 3: Implementing extensions + +In this part, we will be implementing https://kotlinlang.org/docs/reference/extensions.html[extension functions] to decrease the amount of code repetition in a few places. + +For example, you may notice that the `Message` <--> `MessageVM` conversion currently happens explicitly in the `PersistableMessageService`. We may also want to extend the support for a different content type by adding support for Markdown. + +First, we create the extension methods for `Message` and `MessageVM`. The new methods implement the conversion logic from `Message` to `MessageVM` and vice versa: + + +[source,kotlin] +----- +import com.example.kotlin.chat.repository.ContentType +import com.example.kotlin.chat.repository.Message +import com.example.kotlin.chat.service.MessageVM +import com.example.kotlin.chat.service.UserVM +import java.net.URL + +fun MessageVM.asDomainObject(contentType: ContentType = ContentType.PLAIN): Message = Message( + content, + contentType, + sent, + user.name, + user.avatarImageLink.toString(), + id +) + +fun Message.asViewModel(): MessageVM = MessageVM( + content, + UserVM(username, URL(userAvatarImageLink)), + sent, + id +) +----- + + +⌨️ We’ll store the above functions in the `src/main/kotlin/com/example/kotlin/chat/Extensions.kt` file. + +Now that we have extension methods for `MessageVM` and `Message` conversion, we can use them in the `PersistentMessageService`: + + +[source,kotlin] +----- +@Service +class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { + + override fun latest(): List = + messageRepository.findLatest() + .map { it.asViewModel() } + + override fun after(lastMessageId: String): List = + messageRepository.findLatest(lastMessageId) + .map { it.asViewModel() } + + override fun post(message: MessageVM) { + messageRepository.save(message.asDomainObject()) + } +} +----- + +The code above is better than it was before. It is more concise and it reads better. However, we can improve even further. As we can see, we use the same `map()`operators with the same function mapper twice. In fact, we can improve that by adding a custom `map` function for a `List` with a specific generic type. Add the following line to the `Extensions.kt` file: + + +[source,kotlin] +----- +fun List.mapToViewModel(): List = map { it.asViewModel() } +----- + +With this line included, Kotlin will provide the mentioned extension method to any `List` whose generic type corresponds to the specified one: + +[source,kotlin] +----- +@Service +class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { + + override fun latest(): List = + messageRepository.findLatest() + .mapToViewModel() // now we can use the mentioned extension on List + + override fun after(lastMessageId: String): List = + messageRepository.findLatest(lastMessageId) + .mapToViewModel() + //... +} +----- + +⚠️ Note that you cannot use the same extension name for the same class with a different generic type. The reason for this is https://kotlinlang.org/docs/reference/generics.html#type-erasure[type erasure], which means that at runtime, the same method would be used for both classes, and it would not be possible to guess which one should be invoked. + +Once all the extensions are applied, we can do a similar trick and declare supportive extensions for usage in test classes. Put the following in the `src/test/kotlin/com/example/kotlin/chat/TestExtensions.kt` file + +[source,kotlin] +----- +import com.example.kotlin.chat.repository.Message +import com.example.kotlin.chat.service.MessageVM +import java.time.temporal.ChronoUnit.MILLIS + +fun MessageVM.prepareForTesting() = copy(id = null, sent = sent.truncatedTo(MILLIS)) + +fun Message.prepareForTesting() = copy(id = null, sent = sent.truncatedTo(MILLIS)) +----- + +We can now move forward and implement support for the `MARKDOWN` content type. First of all, we need to add the utility for Markdown content rendering. For this purpose, we can add an https://github.com/valich/intellij-markdown[official Markdown library] from JetBrains to the `build.gradle.kts` file: + + +[source] +----- +dependencies { + ... + implementation("org.jetbrains:markdown:0.1.45") + ... +} +----- + +Since we have already learned how to use extensions, let’s create another one in the `Extensions.kt` file for the `ContentType` enum, so each enum value will know how to render a specific content. + + +[source,kotlin] +----- +fun ContentType.render(content: String): String = when (this) { + ContentType.PLAIN -> content +} +----- + +In the example above, we use a https://kotlinlang.org/docs/reference/control-flow.html#when-expression[`when`] expression, which provides pattern-matching in Kotlin. If `when` is used as an expression, the `else` branch is mandatory. However, if the `when` expression is used with exhaustive values (e.g. `enum` with a constant number of outcomes or `sealed classes` with the defined number of subclasses), then the `else` branch is not required. The example above is precisely one of those cases where we know at compile-time all the possible outcomes (and all of them are handled), thus we don’t have to specify the `else` branch. + +Now that we know how the `when` expression works, let’s finally add a second option to the `ContentType` enum: + +[source,kotlin] +----- +enum class ContentType { + PLAIN, MARKDOWN +} +----- + +The power of the `when` expression comes with the strong requirement to be exhaustive. Any timea new value is added to `enum`, we have to fix compilation issues before pushing our software to production: + +[source,kotlin] +----- +fun ContentType.render(content: String): String = when (this) { + ContentType.PLAIN -> content + ContentType.MARKDOWN -> { + val flavour = CommonMarkFlavourDescriptor() + HtmlGenerator(content, MarkdownParser(flavour).buildMarkdownTreeFromString(content), + flavour).generateHtml() + } +} +----- + +Once we have fixed the `render` method to support the new `ContentType`, we can modify `Message` and `MessageVM` extensions methods to enable use of the `MARKDOWN` type and render its content accordingly: + +[source,kotlin] +----- +fun MessageVM.asDomainObject(contentType: ContentType = ContentType.MARKDOWN): Message = Message( + content, + contentType, + sent, + user.name, + user.avatarImageLink.toString(), + id +) + +fun Message.asViewModel(): MessageVM = MessageVM( + contentType.render(content), + UserVM(username, URL(userAvatarImageLink)), + sent, + id +) +----- + +We also need to modify the tests to ensure that the `MARKDOWN` content type is rendered correctly. For this purpose, we have to alter the `ChatKotlinApplicationTests.kt` and change the following: + +[source,kotlin] +----- +@BeforeEach +fun setUp() { + //... + Message( + "*testMessage*", + ContentType.PLAIN, + twoSecondBeforeNow, + "test", + "http://test.com" + ), + Message( + "**testMessage2**", + ContentType.MARKDOWN, + secondBeforeNow, + "test1", + "http://test.com" + ), + Message( + "`testMessage3`", + ContentType.MARKDOWN, + now, + "test2", + "http://test.com" + ) + //... +} + +@ParameterizedTest +@ValueSource(booleans = [true, false]) +fun `test that messages API returns latest messages`(withLastMessageId: Boolean) { + //... + + assertThat(messages?.map { it.prepareForTesting() }) + .containsSubsequence( + MessageVM( + "

testMessage2

", + UserVM("test1", URL("http://test.com")), + now.minusSeconds(1).truncatedTo(MILLIS) + ), + MessageVM( + "

testMessage3

", + UserVM("test2", URL("http://test.com")), + now.truncatedTo(MILLIS) + ) + ) +} + +@Test +fun `test that messages posted to the API are stored`() { + //... + messageRepository.findAll() + .first { it.content.contains("HelloWorld") } + .apply { + assertThat(this.prepareForTesting()) + .isEqualTo(Message( + "`HelloWorld`", + ContentType.MARKDOWN, + now.plusSeconds(1).truncatedTo(MILLIS), + "test", + "http://test.com" + )) + } +} +----- + +Once this is done, we will see that all tests are still passing, and the messages with the `MARKDOWN` content type are rendered as expected. + +In this step, we learned how to use extensions to improve code quality. We also learned the `when` expression and how it can reduce human error when it comes to adding new business features. + +== Part 4: Refactoring to Spring WebFlux with Kotlin Coroutines + +In this part of the tutorial, we will be modifying our codebase to add support for https://kotlinlang.org/docs/reference/coroutines/coroutines-guide.html[coroutines]. + +Essentially, coroutines are light-weight threads that make it possible to express asynchronous code in an imperative manner. This solves various https://stackoverflow.com/a/11632412/4891253[problems] associated with the callback (observer) pattern which was used above to achieve the same effect. + +⚠️ In this tutorial, we will not look too closely at the coroutines and the standard *kotlinx.coroutines* library. To learn more about coroutines and their features, please take a look at the following https://play.kotlinlang.org/hands-on/Introduction%20to%20Coroutines%20and%20Channels/01_Introduction[tutorial]. + +=== Adding Coroutines + +To start using Kotlin coroutines, we have to add three additional libraries to the `build.gradle.kts`: + +[source] +----- +dependencies { + ... + implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core") + implementation("org.jetbrains.kotlinx:kotlinx-coroutines-reactive") + implementation("org.jetbrains.kotlinx:kotlinx-coroutines-reactor") + ... +} +----- + +Once we’ve added the dependencies, we can start using the main coroutines-related keyword: `suspend`. The `suspend` keyword indicates that the function being called is an asynchronous one. Unlike in other languages where a similar concept is exposed via the `async` or `await` keywords, the `suspend` function must be handled in the coroutine context, which can be either another `suspend` function or an explicit coroutine https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/kotlinx.coroutines/-job/index.html[`Job`] created using the https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/kotlinx.coroutines/launch.html[`CoroutineScope.launch`] or https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/kotlinx.coroutines/run-blocking.html[`runBlocking`] functions. + +Thus, as our very first step in our move to bring coroutines into the project, we will add the `suspend` keyword to all of the project’s controllers and service methods. For example, after the modification, the `MessageService` interface should look like this: + +[source,kotlin] +----- +interface MessageService { + + suspend fun latest(): List + + suspend fun after(lastMessageId: String): List + + suspend fun post(message: MessageVM) +} +----- + + +The change above will also affect the places in our code where `MessageService` is used. All the functions in `PersistentMessageService` have to be updated accordingly by adding the `suspend` keyword. + + +[source,kotlin] +----- +@Service +class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { + + override suspend fun latest(): List = + messageRepository.findLatest() + .mapToViewModel() + + override suspend fun after(messageId: String): List = + messageRepository.findLatest(messageId) + .mapToViewModel() + + override suspend fun post(message: MessageVM) { + messageRepository.save(message.asDomainObject()) + } +} +----- + +Both request handlers, `HtmlController` and `MessageResource`, have to be adjusted as well: + +[source,kotlin] +----- +// src/main/kotlin/com/example/kotlin/chat/controller/HtmlController.kt + +@Controller +class HtmlController(val messageService: MessageService) { + + @GetMapping("/") + suspend fun index(model: Model): String { + //... + } +} +----- + +[source,kotlin] +----- +// src/main/kotlin/com/example/kotlin/chat/controller/MessageResource.kt + +@RestController +@RequestMapping("/api/v1/messages") +class MessageResource(val messageService: MessageService) { + + @GetMapping + suspend fun latest(@RequestParam(value = "lastMessageId", defaultValue = "") lastMessageId: String): ResponseEntity> { + //... + } + + @PostMapping + suspend fun post(@RequestBody message: MessageVM) { + //... + } +} +----- + + +We have prepared our code for migration to the reactive Spring stack, https://docs.spring.io/spring-framework/docs/current/reference/html/web-reactive.html[Spring WebFlux]. Read on! + +=== Adding WebFlux and R2DBC + +Although in most cases it is enough to add the `org.jetbrains.kotlinx:kotlinx-coroutines-core` dependency, to have proper integration with Spring Framework we need to replace the web and database modules: + + +[source] +----- +dependencies { + ... + implementation("org.springframework.boot:spring-boot-starter-web") + implementation("org.springframework.boot:spring-boot-starter-data-jdbc") + ... +} +----- + +with the following: + +[source] +----- +dependencies { + ... + implementation("org.springframework.boot:spring-boot-starter-webflux") + implementation("org.springframework.boot:spring-boot-starter-data-r2dbc") + implementation("io.r2dbc:r2dbc-h2") + ... +} +----- + +By adding the above dependencies, we replace the standard blocking https://docs.spring.io/spring-framework/docs/current/reference/html/web.html[Web MVC] with the fully reactive and non-blocking https://docs.spring.io/spring-framework/docs/current/reference/html/web-reactive.html[WebFlux]. Additionally, JDBC is replaced with a fully reactive and non-blocking https://r2dbc.io/[R2DBC]. + +Thanks to the hard work of all the Spring Framework engineers, migration from Spring Web MVC to Spring WebFlux is seamless, and we don't have to rewrite anything at all! For R2DBC, however, we have a few extra steps. First, we need to add a configuration class. + +⌨️ We place this class into the `com/example/kotlin/chat/ChatKotlinApplication.kt` file, where the `main()` method of our application is. + +[source,kotlin] +----- +@Configuration +class Config { + + @Bean + fun initializer(connectionFactory: ConnectionFactory): ConnectionFactoryInitializer { + val initializer = ConnectionFactoryInitializer() + initializer.setConnectionFactory(connectionFactory) + val populator = CompositeDatabasePopulator() + populator.addPopulators(ResourceDatabasePopulator(ClassPathResource("./sql/schema.sql"))) + initializer.setDatabasePopulator(populator) + return initializer + } +} +----- + +The above configuration ensures that the table's schema is initialized when the application starts up. + +Next, we need to modify the properties in `application.properties` to include just one attribute: + + +[source,properties] +----- +spring.r2dbc.url=r2dbc:h2:file:///./build/data/testdb;USER=sa;PASSWORD=password +----- + +Once we have made a few basic configuration-related changes, we’ll perform the migration from Spring Data JDBC to Spring Data R2DBC. For this, we need to update the MessageRepository interface to derive from `CoroutineCrudRepository` and mark its methods with the `suspend` keyword. We do this as follows: + + +[source,kotlin] +----- +interface MessageRepository : CoroutineCrudRepository { + + // language=SQL + @Query(""" + SELECT * FROM ( + SELECT * FROM MESSAGES + ORDER BY "SENT" DESC + LIMIT 10 + ) ORDER BY "SENT" + """) + suspend fun findLatest(): List + + // language=SQL + @Query(""" + SELECT * FROM ( + SELECT * FROM MESSAGES + WHERE SENT > (SELECT SENT FROM MESSAGES WHERE ID = :id) + ORDER BY "SENT" DESC + ) ORDER BY "SENT" + """) + suspend fun findLatest(@Param("id") id: String): List +} +----- + +All the methods of the `CoroutineCrudRepository` are designed with Kotlin coroutines in mind. + +⚠️ Note that the `@Query` annotation is now in a different package, so it should be imported as the following: + +[source,kotlin] +----- +import org.springframework.data.r2dbc.repository.Query +----- + +At this stage, these changes should be sufficient to make your application asynchronous and non-blocking. Once the application is re-run, nothing should change from a functionality perspective, but the executions will now be asynchronous and non-blocking. + +Finally, we need to apply a few more fixes to our tests, as well. Since our `MessageRepository` is now asynchronous, we need to change the datasource URL and run all the related operations in the coroutine context, enclosed within `runBlocking` as shown below (in the `ChatKotlinApplicationTests.kt` file): + +[source,kotlin] +----- +// ... +// new imports +import kotlinx.coroutines.flow.first +import kotlinx.coroutines.runBlocking + +@SpringBootTest( + webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT, + properties = [ + "spring.r2dbc.url=r2dbc:h2:mem:///testdb;USER=sa;PASSWORD=password" + ] +) +class ChatKotlinApplicationTests { + //... + + @BeforeEach + fun setUp() { + runBlocking { + //... + } + } + + @AfterEach + fun tearDown() { + runBlocking { + //... + } + } + + //... + + @Test + fun `test that messages posted to the API is stored`() { + runBlocking { + //... + } + } +} +----- + +Our application is now asynchronous and non-blocking. But it still uses polling to deliver the messages from the backend to the UI. In the next part, we will modify the application to use RSocket to stream the messages to all connected clients. + + +== Part 5: Streaming with RSocket + +We are going to use https://rsocket.io/[RSocket] to convert message delivery to a streaming-like approach. + +RSocket is a binary protocol for use on byte stream transports such as TCP and WebSockets. The API is provided for various programming languages, including https://github.com/rsocket/rsocket-kotlin[Kotlin]. However, in our example we do not need to use the API directly. Instead, we are going to use https://docs.spring.io/spring-boot/docs/current/reference/html/spring-boot-features.html#boot-features-messaging[Spring Messaging], which integrates with RSocket and provides a convenient annotation based approach to configuration. + +To start using RSocket with Spring, we need to add and import a new dependency to `build.gradle.kts`: + +[source] +----- +dependencies { + .... + implementation("org.springframework.boot:spring-boot-starter-rsocket") + .... +} +----- + + +Next, we’ll update `MessageRepository` to return an asynchronous stream of messages exposed through `Flow<Messages>` instead of `List`s. + + +[source,kotlin] +----- +interface MessageRepository : CoroutineCrudRepository { + + //... + fun findLatest(): Flow + + //... + fun findLatest(@Param("id") id: String): Flow +} +----- + +We need to make similar changes to the `MessageService` interface to prepare it for streaming. We no longer need the `suspend` keyword. Instead, we are going to use the `Flow` interface that represents the asynchronous data stream. Any function that produced a `List` as a result will now produce a `Flow` instead. The post method will receive the `Flow` type as an argument, as well. + +[source] +----- +import kotlinx.coroutines.flow.Flow + +interface MessageService { + + fun latest(): Flow + + fun after(messageId: String): Flow + + fun stream(): Flow + + suspend fun post(messages: Flow) +} +----- + +Now we can connect the dots and update the `PersistentMessageService` class to integrate the above changes. + +[source] +----- +import com.example.kotlin.chat.asDomainObject +import com.example.kotlin.chat.asRendered +import com.example.kotlin.chat.mapToViewModel +import com.example.kotlin.chat.repository.MessageRepository +import kotlinx.coroutines.flow.Flow +import kotlinx.coroutines.flow.MutableSharedFlow +import kotlinx.coroutines.flow.map +import kotlinx.coroutines.flow.onEach +import kotlinx.coroutines.flow.collect +import org.springframework.stereotype.Service + +@Service +class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { + + val sender: MutableSharedFlow = MutableSharedFlow() + + override fun latest(): Flow = + messageRepository.findLatest() + .mapToViewModel() + + override fun after(messageId: String): Flow = + messageRepository.findLatest(messageId) + .mapToViewModel() + + override fun stream(): Flow = sender + + override suspend fun post(messages: Flow) = + messages + .onEach { sender.emit(it.asRendered()) } + .map { it.asDomainObject() } + .let { messageRepository.saveAll(it) } + .collect() +} +----- + +First, since the `MessageService` interface has been changed, we need to update the method signatures in the corresponding implementation. Consequently, the `mapToViewModel `extension method that we defined previously in the `Extension.kt` file for the `List` type is now needed for the `Flow` type, instead. + +[source] +----- +import kotlinx.coroutines.flow.Flow +import kotlinx.coroutines.flow.map + +fun Flow.mapToViewModel(): Flow = map { it.asViewModel() } +----- + +For better readability we also added the `asRendered` extension function for the MessageVM class. In `Extensions.kt` file: + +[source] +----- +fun MessageVM.asRendered(contentType: ContentType = ContentType.MARKDOWN): MessageVM = + this.copy(content = contentType.render(this.content)) +----- + +Next, we will use the https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/kotlinx.coroutines.flow/-mutable-shared-flow/[`MutableSharedFlow`] from the Coroutines API to broadcast messages to the connected clients. + +We are getting closer to the desired UI with the changes. Next, we are going to update `MessageResource` and `HtmlController`. + +`MessageResource` gets a totally new implementation. First of all, we are going to use this class to support messaging by applying the `@MessageMapping` annotation instead of `@RequestMapping`. The new methods, `send()` and `receive(),` are mapped to the same endpoint by `@MessageMapping("stream")` for duplex communication. + + +[source,kotlin] +----- +@Controller +@MessageMapping("api.v1.messages") +class MessageResource(val messageService: MessageService) { + + @MessageMapping("stream") + suspend fun receive(@Payload inboundMessages: Flow) = + messageService.post(inboundMessages) + + @MessageMapping("stream") + fun send(): Flow = messageService + .stream() + .onStart { + emitAll(messageService.latest()) + } +} +----- + +To send the messages to the UI, we open the `stream` from the `messageService`, implemented by the `PersistentMessageService `class, and call the `onStart` method to start streaming the events. When a new client connects to the service, it will first receive the messages from the history thanks to the block of code that is supplied to the `onStart` method as an argument: `emitAll(messageService.latest())`. The channel then stays open to stream new messages. + +The `HtmlController` class no longer needs to to handle any of the streaming logic. Its purpose is now to serve the static page, so the implementation becomes trivial: + +[source,kotlin] +----- +@Controller +class HtmlController() { + + @GetMapping("/") + fun index(): String { + // implemented in src/main/resources/templates/chatrs.html + return "chatrs" + } +} +----- + +Note that the UI template is now `chatrs.html` instead of `chat.html`. The new template includes the JavaScript code that configures a _WebSocket_ connection and interacts directly with the `api.v1.messages.stream` endpoint implemented by the `MessageResource` class. + +We need to make one last change to the `application.properties` file for RSocket to work properly. Add the following properties to the configuration: + +[source,properties] +----- +spring.rsocket.server.transport=websocket +spring.rsocket.server.mapping-path=/rsocket +----- + +The application is ready to start! Messages are now delivered to the chat UI without polling thanks to RSocket. Additionally, the backend of the application is fully asynchronous and non-blocking thanks to Spring WebFlux and Kotlin Coroutines. + +The final step for us in this tutorial is to update the tests. + +We are going to add one more dependency specifically for tests. https://github.com/cashapp/turbine[Turbine] is a small testing library. It simplifies testing by providing a few useful extensions to the `Flow` interface of kotlinx.coroutines. + +[source] +----- +dependencies { + ... + testImplementation("app.cash.turbine:turbine:0.3.0") + ... +} +----- + +The entrypoint for the library is the `test()` extension for `Flow<T>`, which accepts a block of code that implements the validation logic. The `test()` extension is a suspending function that will not return until the flow is complete or canceled. We will look at its application in a moment. + +Next, update the test dependencies. Instead of autowiring via fields, we’ll use a constructor to inject the dependencies. + +[source,kotlin] +----- +class ChatKotlinApplicationTests { + + @Autowired + lateinit var client: TestRestTemplate + + @Autowired + lateinit var messageRepository: MessageRepository + +class ChatKotlinApplicationTests( + @Autowired val rsocketBuilder: RSocketRequester.Builder, + @Autowired val messageRepository: MessageRepository, + @LocalServerPort val serverPort: Int +) { +----- + +We use `RSocketRequest.Builder` instead of `TestRestTemplate` since the endpoint that is implemented by `MessageResource` talks over RSocket protocol. In the tests, we need to construct an instance of `RSocketRequester` and use it to make requests. Replace the old tests with the new code below: + +[source,kotlin] +----- +@ExperimentalTime +@ExperimentalCoroutinesApi +@Test +fun `test that messages API streams latest messages`() { + runBlocking { + val rSocketRequester = + rsocketBuilder.websocket(URI("ws://localhost:${serverPort}/rsocket")) + + rSocketRequester + .route("api.v1.messages.stream") + .retrieveFlow() + .test { + assertThat(expectItem().prepareForTesting()) + .isEqualTo( + MessageVM( + "*testMessage*", + UserVM("test", URL("http://test.com")), + now.minusSeconds(2).truncatedTo(MILLIS) + ) + ) + + assertThat(expectItem().prepareForTesting()) + .isEqualTo( + MessageVM( + "

testMessage2

", + UserVM("test1", URL("http://test.com")), + now.minusSeconds(1).truncatedTo(MILLIS) + ) + ) + assertThat(expectItem().prepareForTesting()) + .isEqualTo( + MessageVM( + "

testMessage3

", + UserVM("test2", URL("http://test.com")), + now.truncatedTo(MILLIS) + ) + ) + + expectNoEvents() + + launch { + rSocketRequester.route("api.v1.messages.stream") + .dataWithType(flow { + emit( + MessageVM( + "`HelloWorld`", + UserVM("test", URL("http://test.com")), + now.plusSeconds(1) + ) + ) + }) + .retrieveFlow() + .collect() + } + + assertThat(expectItem().prepareForTesting()) + .isEqualTo( + MessageVM( + "

HelloWorld

", + UserVM("test", URL("http://test.com")), + now.plusSeconds(1).truncatedTo(MILLIS) + ) + ) + + cancelAndIgnoreRemainingEvents() + } + } +} + +@ExperimentalTime +@Test +fun `test that messages streamed to the API is stored`() { + runBlocking { + launch { + val rSocketRequester = + rsocketBuilder.websocket(URI("ws://localhost:${serverPort}/rsocket")) + + rSocketRequester.route("api.v1.messages.stream") + .dataWithType(flow { + emit( + MessageVM( + "`HelloWorld`", + UserVM("test", URL("http://test.com")), + now.plusSeconds(1) + ) + ) + }) + .retrieveFlow() + .collect() + } + + delay(2.seconds) + + messageRepository.findAll() + .first { it.content.contains("HelloWorld") } + .apply { + assertThat(this.prepareForTesting()) + .isEqualTo( + Message( + "`HelloWorld`", + ContentType.MARKDOWN, + now.plusSeconds(1).truncatedTo(MILLIS), + "test", + "http://test.com" + ) + ) + } + } +} +----- + +This was the final part in the tutorial. We started with a simple chat application in which the UI was polling for new messages while the backend was blocking when running the database queries. We gradually added features to the application and migrated it to the reactive Spring stack. 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z6|bqV-X5$IlvVynDel9XgZkBa%A!WQT?8wzfW(A*cDsT^5*du$kfwJjsCXKXwz;SmCJfId+!5np6h|wqg4$vocX0rBXE4YeRHdFkTLUa~@NZ{5C(j->Mxm8@G!&gTxpW)| zXM+7mOAL>D?jExA&KtPxL_r$M3_eafy#3@uHu37ayg9IpdFId1Cv{x$?S_);&Vx-l zzCPj&!LC8$n+Ry&w1H#J?FUmp5RcKs-7q{AMan}~aYR Date: Tue, 2 Feb 2021 08:27:49 +0200 Subject: [PATCH 04/18] corrected the source tag --- README.adoc | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.adoc b/README.adoc index 72b24a4..cb973ed 100644 --- a/README.adoc +++ b/README.adoc @@ -1153,7 +1153,7 @@ interface MessageService { Now we can connect the dots and update the `PersistentMessageService` class to integrate the above changes. -[source] +[source,kotlin] ----- import com.example.kotlin.chat.asDomainObject import com.example.kotlin.chat.asRendered @@ -1192,7 +1192,7 @@ class PersistentMessageService(val messageRepository: MessageRepository) : Messa First, since the `MessageService` interface has been changed, we need to update the method signatures in the corresponding implementation. Consequently, the `mapToViewModel `extension method that we defined previously in the `Extension.kt` file for the `List` type is now needed for the `Flow` type, instead. -[source] +[source,kotlin] ----- import kotlinx.coroutines.flow.Flow import kotlinx.coroutines.flow.map @@ -1202,7 +1202,7 @@ fun Flow.mapToViewModel(): Flow = map { it.asViewModel() } For better readability we also added the `asRendered` extension function for the MessageVM class. In `Extensions.kt` file: -[source] +[source,kotlin] ----- fun MessageVM.asRendered(contentType: ContentType = ContentType.MARKDOWN): MessageVM = this.copy(content = contentType.render(this.content)) From 884e142bd0301c911d8266eb17953e5f316e7533 Mon Sep 17 00:00:00 2001 From: Anton Arhipov Date: Tue, 2 Feb 2021 08:28:23 +0200 Subject: [PATCH 05/18] removed the old guides --- guide/1-introduction.md | 89 ------ guide/2-http-api-with-fake-service.md | 167 ----------- guide/3-database-service.md | 269 ------------------ guide/4-extensions.md | 213 -------------- guide/5-async-reactive.md | 222 --------------- .../kotlin_springboot_application_schema.svg | 58 ---- 6 files changed, 1018 deletions(-) delete mode 100644 guide/1-introduction.md delete mode 100644 guide/2-http-api-with-fake-service.md delete mode 100644 guide/3-database-service.md delete mode 100644 guide/4-extensions.md delete mode 100644 guide/5-async-reactive.md delete mode 100644 guide/art/kotlin_springboot_application_schema.svg diff --git a/guide/1-introduction.md b/guide/1-introduction.md deleted file mode 100644 index 2bde430..0000000 --- a/guide/1-introduction.md +++ /dev/null @@ -1,89 +0,0 @@ -# Introduction - -In this hands-on tutorial, we're going to get familiar with the concept of building a server-side application with Spring Boot and Kotlin. - -We'll learn how to: - * Kotlin for Spring: Controllers, Data and Testing - * Kotlin for Reactive Spring. - * Best practice for Kotlin usage on the server-side - -This tutorial is designed for those who have already had their hands on Spring MVC / WebFlux and want to see how much easier it is building server-side applications with Kotlin. - -## Set-up - -To start working on this tutorial, we'll need one of the latest versions of IntelliJ IDEA, so any version from 2018.1 onwards. You can download the latest free community version here. - -Make sure version 1.3+ of the Kotlin plugin is installed. -To update the Kotlin plugin, use `Tools | Kotlin | Configure Kotlin Plugin Updates`. - -## Downloading project - -Clone the repository from IntelliJ IDEA by choosing `VSC | Checkout from Version Control | Git` and specifying the project path: [http://github.com/kotlin-hands-on/kotlin-spring-chat](http://github.com/kotlin-hands-on/kotlin-spring-chat). - -...or clone it from the command line: -```shell script -$ git clone http://github.com/kotlin-hands-on/kotlin-spring-chat -``` - -**Note** that the project includes the solutions branch, so it is possible to use the `Compare with branch` to compare your solution with the proposed one. - -Alternatively, you can [download the project](https://github.com/kotlin-hands-on/kotlin-spring-chat/archive/initial.zip) directly (but only the main branch). - -## Project Architecture Overview - -Once we have the project set up, let's take a look at the general application overview. In this tutorial, we are going to build a simple chat application which has the following architecture: - - ![Chat Application with Kotlin and Spring Boot](./art/kotlin_springboot_application_schema.svg "Chat Application with Kotlin and SpringBoot") - -As we may see from the diagram above, our application is an ordinary 3-tire web - application, which has server-side rendering served by `HtmlController` as well - as messages data API provided by `MessagesResource`. Also, this application has - `MessagesService` which has two different implementations: - * `FakeMessageService` - first implementation which produces random messages - * `PersistentMessageService` - second implementation which works with real data - storage - -## Project Structure Overview - -Finally, let have a quick overview of the future project structure: - -``` -\---src - +---main - | +---kotlin - | | \---com.example.kotlin.chat - | | +---configurations - | | | // here will be sotred project configurations - | | +---controller - | | | \--- // here will be stored HtmlController.kt and MessageResource.kt - | | +---extensions - | | | \--- // here will be stored MessageExtensions.kt - | | +---service - | | | +---impl - | | | | // here will be stored different implementations of the MessageService.kt - | | | +---vm // folder with withholding data view model - | | | | +---MessageVM - | | | | +---UserVM - | | | \---MessageService.kt - | | \---repository - | | +---domain // holder for the domain objects - | | \--- // here will be stored MessageRepository.kt - | \---resources - | +---templates - | | \---templates - | | \---chat.html // thymeleaf html template - | \---application.properties - \---test - \---kotlin - \---com.example.kotlin.chat - \---ChatKotlinApplicationTests.kt -``` - -As we may see from the folder structure displayed above, we have 3 main folders with which we will be working during the whole tutorial: - * `controller` - folder for storing `HtmlController` and `MessageResource` - * `service` - folder for our service implementations. Note, the concrete implementations will be stored in the `impl` subfolder. - * `repository` - folder, used to store domain objects and `Repository` implementation for the database access. - -Apart from the 3 main folders, we have folders such as the `extensions` folder used to keep Kotlin extensions, and the `configurations` folder needed to store some extra spring configurations. - -So far, that is all we need to know for the beginning. Thus let's start our work on the first bits of the project! \ No newline at end of file diff --git a/guide/2-http-api-with-fake-service.md b/guide/2-http-api-with-fake-service.md deleted file mode 100644 index 81da4b1..0000000 --- a/guide/2-http-api-with-fake-service.md +++ /dev/null @@ -1,167 +0,0 @@ -# Web API and Fake Service - -Welcome to the first step of our tutorial. - -At this step of the tutorial, we will be implementing the first bits of a simple Spring Boot WebMVC application: - - * `HtmlController` - `@Controller` annotated endpoint which will be exposing Html page generated using [Thymeleaf template engine](https://www.thymeleaf.org/doc/tutorials/3.0/thymeleafspring.html) - * `MessageResource` - `@RestController` annotated endpoint which will be exposing the latest messages as JSON - * `FakeMessageService` - initial implementation of the `MessageService` interface, which will supply fake data to our chat. For the fake data generation purpose, we will use the [Java Faker](http://dius.github.io/java-faker/) library. - -As the first step on our road to the chat application, let's put in place the `HttpController` at the `controller` folder. Having generic `@Controller`, we will run the application and see an empty HTML page with no messages. For that purpose, we need to write a normal class and annotate it with the `@Controller` annotation. Also, we need to create a single method that we may call `index()` to show that it serves the main page. The following code written in Kotlin represents the mentioned requirements: - -```kotlin -@Controller -class HtmlController { - - @GetMapping("/") - fun index(): String { - return "chat" - } -} -``` -Once we run the `ChatKotlinApplication`, and have opened the following URL `http://localhost:8080`, we will see an empty HTML page with the minimalistic markup for our chat. - -> ⚠️ **Note**, you may wonder why our `HtmlConteroller` is not an open class. The answer is the [`kotlin('plugin.spring')`](https://kotlinlang.org/docs/reference/compiler-plugins.html#all-open-compiler-plugin) plugin, which makes classes annotated with `@Controller`/`@Service`/etc. all open. - -Of course, an empty chat page looks better than the default 404 error page, but we need some messages on it. To let messages appear on this page, we need to implement the `MessagesService` interface, which is the main business service for our messaging. In the beginning, we implement the fake one and will be generating random fake messages using Shakespeare, Yoda, and Rick&Morty famous quotes: - -```kotlin -@Service -class FakeMessageService : MessageService { - - val users: Map = mapOf( - "Shakespeare" to UserVM("Shakespeare", URL("https://blog.12min.com/wp-content/uploads/2018/05/27d-William-Shakespeare.jpg")), - "RickAndMorty" to UserVM("RickAndMorty", URL("http://thecircular.org/wp-content/uploads/2015/04/rick-and-morty-fb-pic1.jpg")), - "Yoda" to UserVM("Yoda", URL("https://news.toyark.com/wp-content/uploads/sites/4/2019/03/SH-Figuarts-Yoda-001.jpg")) - ) - - val usersQuotes: Map String> = mapOf( - "Shakespeare" to { Faker.instance().shakespeare().asYouLikeItQuote() }, - "RickAndMorty" to { Faker.instance().rickAndMorty().quote() }, - "Yoda" to { Faker.instance().yoda().quote() } - ) - - override fun latest(): List { - val count = Random.nextInt(1, 15) - return (0..count).map { - val user = users.values.random() - val userQuote = usersQuotes.getValue(user.name).invoke() - - MessageVM(userQuote, user, Instant.now(), Random.nextBytes(10).toString()) - }.toList() - } - - override fun latestAfter(lastMessageId: String): List { - return latest() - } - - override fun post(message: MessageVM) { - TODO("Not yet implemented") - } -} -``` - -> ⚠️ Please put your `FakeMessageService` at the `service/impl` folder to follow the general project structure. - -As we might see from the implementation example above, Kotlin provides powerful support from the language syntax perspective. For example, we do not have to implement all the methods immediately. Thus, missing implementations can be safely replaced with the `TODO()` function. - -> 💡 The `TODO()` function plays two roles: the reminder role as well as it always throws `NotImplementedError` exception, so it plays the stab role. - -Another notable benefit is the fluent collection API. We all might remember those challenges related to building Map with predefined entries. With Kotlin, it becomes beautiful simplicity: `mapOf` function let you create a map of `Pair's, where the pair definition is provided with an [extension](https://kotlinlang.org/docs/reference/extensions.html) method ` A.to(that: B): Pair`. - -> ✋ Do not worry if you have no experience with Kotlin extensions. We will learn more about them in part 3 of this tutorial. - -As the following step, we need to generate a random number of messages to be delivered. This case leveraging the power of the Kotlin language as well. To generate an `IntRange` we can simply say `(0..count)` and then apply `.map` to transform it into a messages sequence. Notably, the selection of a random element from any collection can be made as easy as pie. Kotlin provides an extension method for collections, which is called `.random()`. This extension method does everything for you to select and return an item from the source. - -Also, in this example, you may see the `MessageVM` data structure. This data structure is a view model used to deliver data to a client. The data structure is simplified to provide the most essential information to a browser: - -```kotlin -data class MessageVM(val content: String, val user: UserVM, val sent: Instant, val id: String? = null) -``` - -You may note that in our case, we use the prefix `data` with `class`, which automatically generates `toString`, `equals`, and `hashCode` for you, so you do not need to take care of that anymore. - -To deliver messages to the UI, we have to add `latest` messages to the Chat view context, so the template engine will render them properly. For that purpose, we have to modify `HtmlController` and configure the given request `Model` as it is shown in the following example: - - -```kotlin -@Controller -class HtmlController(val messageService: MessageService) { - - @GetMapping("/") - fun index(model: Model): String { - val messages = messageService.latest() - - model["messages"] = messages - - return "chat" - } -} -``` - -> 💡 Spring Web users may notice that `Model` is used in this example as a `Map` even though it does not extend this API. This becomes possible with another Kotlin extension, which provides overloading for the `set` operator. For more information, please see [operator overloading](https://kotlinlang.org/docs/reference/operator-overloading.html) docs. - -One the application is restarted, we will see a bunch of messages on the screen. - -Finally, to see new update messages, wee need to add the final piece into our API, which will be used for our client-side polling mechanism. - -First of all, let's have a short description of the client-side polling mechanic. The implementation is a straightforward one and uses pagination principles to get new messages. That said, we need to know `latestMessageId` to receive new messages, which came after. Thus, at the page rendering phase, along with just messages, we have to populate the request `Model` with the `latestMessageId` property: - -```kotlin -@GetMapping("/") -fun index(model: Model): String { - val messages: List = messageService.latest() - - model["messages"] = messages - model["lastMessageId"] = messages.lastOrNull()?.id ?: "" - - return "chat" -} -``` - -Then, we have to create an API endpoint, which going to serve polling requests: -```kotlin -@RestController -@RequestMapping("/api/v1/messages") -class MessageResource(val messageService: MessageService) { - - @GetMapping - fun latest(@RequestParam(value = "lastMessageId", defaultValue = "") lastMessageId: String): ResponseEntity> { - val messages = if (lastMessageId.isNotEmpty()) { - messageService.latestAfter(lastMessageId) - } else { - messageService.latest() - } - - return if (messages.isEmpty()) { - with(ResponseEntity.noContent()) { - header("lastMessageId", lastMessageId) - build>() - } - } else { - with(ResponseEntity.ok()) { - header("lastMessageId", messages.last().id) - body(messages) - } - } - } - - @PostMapping - fun post(@RequestBody message: MessageVM) { - messageService.post(message) - } -} -``` - -> ⚠️ Note, `MessageResource` should be placed at the same folder as the `HtmlController`. - -Here, depends on the presence of the `lastMessageId` query parameter, we will be calling different service methods to server all the latest messages, if non were displayed before, or the latest messages after the specific message-id. - -Once the mentioned code is implemented, and the application is restarted, we will see a continuously updated conversation between Shakespeare, Yoda, and Rick&Morty. - -During this step, we have implemented the essential parts of our Chat app. We can see messages on the screen, and the polling mechanism can retrieve new messages from the `@RestController` endpoint. We learned the power of Kotlin and have seen how Kotlin extensions and language syntax improve readability and decrease the amount of code we have to write. Simultaneously, it does not increase complexity since Kotlin is as simple as Java and does not introduce complexity that we may face while using functional languages). - -> Functional languages may decrease the amount of code you write but can significantly increase the codebase's general complexity. - -In the following step, we will see how to integrate our application with a real database and make messaging persistable. \ No newline at end of file diff --git a/guide/3-database-service.md b/guide/3-database-service.md deleted file mode 100644 index 5e3ba16..0000000 --- a/guide/3-database-service.md +++ /dev/null @@ -1,269 +0,0 @@ -# Implementing Persistable Messages Service - -Welcome to the second step of our tutorial. - -At this step of the tutorial, we will be implementing a persisting version of the `MessageService` interface using Spring Data JDBC and H2 as the database. We will introduce the following classes: - - * `PersistentMessageService` - database based implementation of the `MessageService` interface, which will interact with the real data storage via Spring Data `Repository` API. - * `MessageRepository` - a dedicated `Repository` extension used by `MessageService` - -First of all, we have to add required dependencies to the project. For that we need to add into the `build.gradle.kt` file the following `dependencies`: - -```kotlin -implementation("org.springframework.boot:spring-boot-starter-data-jdbc") -runtimeOnly("com.h2database:h2") -``` - -> ⚠️ **Note**, in this example, we use `spring-data-jdbc` as a lightweight and straightforward way for JDBC usage in Spring Framework. If you wish to see an example of JPA usage, please see the following [blog-post](https://spring.io/guides/tutorials/spring-boot-kotlin/?#_persistence_with_jpa). - -Once the dependencies are added and resolved, we can start modeling our database schema. Since this is a demo project, we will not be designing something complex and will stick to the following structure: - -```h2 -CREATE TABLE IF NOT EXISTS messages ( - id VARCHAR(60) DEFAULT RANDOM_UUID() PRIMARY KEY, - content VARCHAR NOT NULL, - content_type VARCHAR(128) NOT NULL, - sent TIMESTAMP NOT NULL, - username VARCHAR(60) NOT NULL, - user_avatar_image_link VARCHAR(256) NOT NULL -); -``` - -> ⌨️ Put the above SQL code into the `src/main/resources/sql/schema.sql` file. Also, modify `application.properties` so it contains the following configurations: ->```properties ->spring.datasource.schema=classpath:sql/schema.sql ->spring.datasource.url=jdbc:h2:file:./build/data/testdb ->spring.datasource.driverClassName=org.h2.Driver ->spring.datasource.username=sa ->spring.datasource.password=password ->``` - -Using Spring Data, the mentioned table can be expressed as the following domain object: - -```kotlin -@Table("MESSAGES") -data class Message( - val content: String, - val contentType: ContentType, - val sent: Instant, - val username: String, - val userAvatarImageLink: String, - @Id var id: String? = null) - -enum class ContentType { - PLAIN -} -``` - -There are a few noticeable things that require explanation. Fields like `content`, `sent`, and `id` mirrors the `MessageVM` class. However, to decrease the number of tables and simplify the final relationship structure, we flatten the `User` object and make its fields a part of the `Message` class. Apart from that, we have a new extra field called `contentType`. This field is created to indicate the content type of the stored message. Since most modern chats support different markup languages, it is common to support different message content encodings. In the beginning, we will support `PLAIN` text, but during step 4, we will extend `ContentType` to support the `MARKDOWN` type. - -Once we have the table representation as a class, we may introduce convenient access to the data via `Repository`: - -```kotlin -interface MessageRepository : CrudRepository { - - // language=SQL - @Query(""" - SELECT * FROM ( - SELECT * FROM MESSAGES - ORDER BY "SENT" DESC - LIMIT 10 - ) ORDER BY "SENT" - """) - fun findLatest(): List - - // language=SQL - @Query(""" - SELECT * FROM ( - SELECT * FROM MESSAGES - WHERE SENT > (SELECT SENT FROM MESSAGES WHERE ID = :id) - ORDER BY "SENT" DESC - ) ORDER BY "SENT" - """) - fun findLatest(@Param("id") id: String): List -} -``` - -> ⚠️ Put your `MessageRepository` at the `src/main/kotlin/com/example/kotlin/chat/repository` folder to follow the general project structure. - -Our `MessageRepository` extends an ordinary `CrudRepository` and provides two different methods with the custom queries for retrieving the latest messages and messages after the specific message ID. - -> 💡 Did you notice [String literals](https://kotlinlang.org/docs/reference/basic-types.html#string-literals) used to express the SQL query in the readable format? Kotlin provides a set of useful additions for Strings. You may learn more about it in the Kotlin lang [docs](https://kotlinlang.org/docs/reference/basic-types.html#strings) - -The next step that we have to do is implement the `MessageService` class that integrates with the `MessageRepository` class. - -```kotlin -@Service -class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { - - override fun latest(): List = - messageRepository.findLatest() - .map { with(it) { MessageVM(content, UserVM(username, URL(userAvatarImageLink)), sent, id) } } - - override fun latestAfter(lastMessageId: String): List = - messageRepository.findLatest(lastMessageId) - .map { with(it) { MessageVM(content, UserVM(username, URL(userAvatarImageLink)), sent, id) } } - - override fun post(message: MessageVM) { - messageRepository.save( - with(message) { Message(content, ContentType.PLAIN, sent, user.name, user.avatarImageLink.toString()) } - ) - } -} -``` - -> ⚠️ Put your `PersistentMessageService` at the `src/main/kotlin/com/example/kotlin/chat/service/impl` -> folder replacing the previous `FakeMessageService` implementation. - -As we may see from the example above, the `PersistentMessageService` does not seem complicated. On the one hand, the implementation looks like a thin layer for the `MessageRepository`, since what we do here is just a simple object mapping. All business queries are on the `Repository` level. On the other hand, this implementation's simplicity is the merit of the Kotlin language, which provides extensions like `map` and keywords like `with`. - -> 💡 Note, within the `with` keyword's scope, there is no need to refer the object every time we need to access its fields. - -So far, if we run this application, we will see empty tests page again. However, if we type-in a message into the text input and send it, we will see it appeared on the screen a few moments later. If we open a new browser page, we will see this message again as a part of historical messages. - -Finally, once the correctness is confirmed manually, we may write a few integration tests to ensure that our code will work properly over time. - -To begin with, we have to modify `ChatKotlinApplicationTests` file and add fields we would need further to use in tests: - -```kotlin -@SpringBootTest( - webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT, - properties = [ - "spring.datasource.url=jdbc:h2:mem:testdb" - ] -) -class ChatKotlinApplicationTests { - - @Autowired - lateinit var client: TestRestTemplate - - @Autowired - lateinit var messageRepository: MessageRepository - - lateinit var lastMessageId: String - - val now: Instant = Instant.now() -} -``` - -As you may notice, in the example above, we use the [lateinit](https://kotlinlang.org/docs/reference/properties.html#late-initialized-properties-and-variables) keyword, which perfectly fits for the case where non-null fields initialization has to be deferred. In our case, we use it to `@Autowire` the `MessageRepository` field and resolve `TestRestTemplate`. - -For simplicity, we will be testing three general cases - messages resolution where `lastMessageId` is not available and where `lastMessageId` is present, and in the case of message sending. - -To test messages resolving, we have to prepare some tests messages beforehand as well as cleanup the storage after the completion of each case: - -```kotlin -@BeforeEach -fun setUp() { - val secondBeforeNow = now.minusSeconds(1) - val twoSecondBeforeNow = now.minusSeconds(2) - val savedMessages = messageRepository.saveAll(listOf( - Message( - "*testMessage*", - ContentType.PLAIN, - twoSecondBeforeNow, - "test", - "http://test.com" - ), - Message( - "**testMessage2**", - ContentType.PLAIN, - secondBeforeNow, - "test1", - "http://test.com" - ), - Message( - "`testMessage3`", - ContentType.PLAIN, - now, - "test2", - "http://test.com" - ) - )) - lastMessageId = savedMessages.first().id ?: "" -} - -@AfterEach -fun tearDown() { - messageRepository.deleteAll() -} -``` - -Once the preparation is done, we can create a first tests case for messages retrieval cases: - -```kotlin -@ParameterizedTest -@ValueSource(booleans = [true, false]) -fun `test that messages API returns latest messages`(withLastMessageId: Boolean) { - val messages: List? = client.exchange( - RequestEntity( - HttpMethod.GET, - URI("/api/v1/messages?lastMessageId=${if (withLastMessageId) lastMessageId else ""}") - ), - object : ParameterizedTypeReference>() {}).body - - if (!withLastMessageId) { - assertThat(messages?.map { with(it) { copy(id = null, sent = sent.truncatedTo(MILLIS)) } }) - .first() - .isEqualTo(MessageVM( - "*testMessage*", - UserVM("test", URL("http://test.com")), - now.minusSeconds(2).truncatedTo(MILLIS) - )) - } - - assertThat(messages?.map { with(it) { copy(id = null, sent = sent.truncatedTo(MILLIS)) } }) - .containsSubsequence( - MessageVM( - "**testMessage2**", - UserVM("test1", URL("http://test.com")), - now.minusSeconds(1).truncatedTo(MILLIS) - ), - MessageVM( - "`testMessage3`", - UserVM("test2", URL("http://test.com")), - now.truncatedTo(MILLIS) - ) - ) -} -``` - -From the above example, we may learn a few exciting things that Kotlin offers to its users. First of all, we can see how much better protection against nullability we have with Kotlin. Since the `.exchange` method returns a nullable collection, we have to explicitly accomplish all the places where the properties/methods on this collection are used with the question mark. On the other hand, we do not have to do anything beyond to make our code look as natural as there are no nullable elements at all. Secondly, all data classes have methods like [`copy`](https://kotlinlang.org/docs/reference/data-classes.html#copying), which let you do a full copy of the instance customizing required fields. It is very useful in our case since we may want to truncate received `sent` time to the same time units for comparison purposes. Thirdly, Kotlin supports [String templates](https://kotlinlang.org/docs/reference/basic-types.html#string-templates) is an excellent addition for testing and not only. - -Once we have this test implemented, the last piece that we have to implement is message - posting test: - -```kotlin -@Test -fun `test that messages posted to the API is stored`() { - client.postForEntity( - URI("/api/v1/messages"), - MessageVM( - "`HelloWorld`", - UserVM("test", URL("http://test.com")), - now.plusSeconds(1) - ) - ) - - messageRepository.findAll() - .first { it.content.contains("HelloWorld") } - .apply { - assertThat(this.copy(id = null, sent = sent.truncatedTo(MILLIS))) - .isEqualTo(Message( - "`HelloWorld`", - ContentType.PLAIN, - now.plusSeconds(1).truncatedTo(MILLIS), - "test", - "http://test.com" - )) - } -} -``` - -The above test looks similar to the previous, except we check that the posted messages are stored in the database. In this example, we can see the [`apply`](https://kotlinlang.org/docs/reference/scope-functions.html#apply) function, which allows using the target object within the invocation scope as `this`. - -Once we have all these tests implemented, we may run them and see that they are passing. - -We have implemented a Chat Application version during this step, which works with the database allowing messages persisting and broadcasting to all active users in the chat. Also, now we can access the historical data, so everyone can read previous messages if needed. - -This implementation may look complete, though the code we wrote has a few places for improvements. Therefore, we will see how our code can be improved with Kotlin extensions during the next step. \ No newline at end of file diff --git a/guide/4-extensions.md b/guide/4-extensions.md deleted file mode 100644 index 306d1ba..0000000 --- a/guide/4-extensions.md +++ /dev/null @@ -1,213 +0,0 @@ -# Implementing Extensions - -Welcome to the third step of our tutorial. - -At this step of the tutorial, we will be implementing extension methods to decrease the number of code repetition in a few places. For example, you may notice that at this moment, `Messages` <--> `MessageVM` conversion happens explicitly in the `PersistableMessageService`. Apart, we may want to extend the support for a different `contentType`, so we may add support for types like `MARKDOWN`, etc. - -At first, we may want to reduce the number of repetition so further we can change objects' conversion only at a single place. For that purpose, lets write an extension methods for `Message` and `MessageVM` which add to their instance methods responsible for conversion: - -```kotlin -fun MessageVM.asDomainObject(contentType: ContentType = ContentType.PLAIN): Message = Message( - content, - contentType, - sent, - user.name, - user.avatarImageLink.toString(), - id -) - -fun Message.asViewModel(): MessageVM = MessageVM( - content, - UserVM(username, URL(userAvatarImageLink)), - sent, - id -) -``` - -> ⚠️ Let's store the above functions in the `src/main/kotlin/com/example/kotlin/chat/extensions/MessageExtensions.kt` file. - -Now, having extensions methods for `MessageVM` and `Message` conversion, we may use them in the `PersistentMessageService`: - -```kotlin -@Service -class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { - - override fun latest(): List = - messageRepository.findLatest() - .map { it.asViewModel() } - - override fun latestAfter(lastMessageId: String): List = - messageRepository.findLatest(lastMessageId) - .map { it.asViewModel() } - - override fun post(message: MessageVM) { - messageRepository.save(message.asDomainObject()) - } -} -``` - -The code above is better than before. However, we can improve a few more places. As we can see, we use the same `.map` operators with the same function mapper twice. In fact, we can improve that byte writing a custom map function for a `List` with a specific generic type: - -```kotlin -fun List.mapToViewModel(): List = map { it.asViewModel() } -``` - -By doing that, Kotlin will provide the mentioned extension method to `List`s which generic type corresponds to the specified one: - -```kotlin -@Service -class PersistentMessageService(val messageRepository: MessageRepository) : MessageService { - - override fun latest(): List = - messageRepository.findLatest() - .mapToViewModel() // now we can use the mentioned extension on List - - override fun latestAfter(lastMessageId: String): List = - messageRepository.findLatest(lastMessageId) - .mapToViewModel() - ... -} -``` - -> ⚠️ **Note**, you cannot use the same extension name for the same class with different generic types. The reason for that is the [type erasure](https://kotlinlang.org/docs/reference/generics.html#type-erasure), which means that at the runtime, we will have the same method for the same class, so it will not be possible to guess which one should be invoked. - -Once all the extensions are applied, we can do similar trick and declare supportive extensions for usage in test classes: - -```kotlin -fun MessageVM.prepareForTesting() = copy(id = null, sent = sent.truncatedTo(MILLIS)) - -fun Message.prepareForTesting() = copy(id = null, sent = sent.truncatedTo(MILLIS)) -``` - -> ⚠️ This time, the above functions should be stored `src/test/kotlin/com/example/kotlin/chat/extensions/TestMessageExtensions.kt` -> file. - - -Once we have the foundational extensions, we can move forward and implement the support of the `MARKDOWN` content type. First of all, we need to add the tooling for the markdown content rendering. For that purpose, we can use an [official markdown library](https://github.com/valich/intellij-markdown) from JetBrains - -```kotlins -implementation("org.jetbrains:markdown:0.1.45") -``` - -Since we have already learned how to use extensions, lets create another one for the `ContenType` enum, so each enum value will know how to render a specific content: - -```kotlin -fun ContentType.render(content: String): String = when (this) { - ContentType.PLAIN -> content -} -``` - -In the above example, we use `when` expression, which effectively is a pattern-matching implementation in Kotlin. By default, `when` expression requires to always provide a result of the execution. Thus, when it is being used on the undetermined value (for instance, `when` on a `String` input), we always have to provide `else` to return at least something when none of the defined cases matched. However, when the `when` expression is used with the exhaustive values (e.g. `enum` with a constant number of outcomes or `sealed` classes with the defined number of subclasses) - the definition of the `else` branch is redundant. The example above is exactly the case when we know at compile-time all the possible outcomes (and all of them are handled), so the `else` branch is unneeded. - -Once, we know how `when` expression works, lets finally add a new value into the `ContentType` enum: - -```kotlin -enum class ContentType { - PLAIN, MARKDOWN -} -``` - -The power of the `when` expression usage comes with the strong requirement to be exhaustive. Whenever a new value is added to `enum`, we always have to fix compilation issues before pushing our software in production: - -```kotlin -fun ContentType.render(content: String): String = when (this) { - ContentType.PLAIN -> content - ContentType.MARKDOWN -> { - val flavour = CommonMarkFlavourDescriptor() - HtmlGenerator(content, MarkdownParser(flavour).buildMarkdownTreeFromString(content), flavour).generateHtml() - } -} -``` - -Now, once we have fixed the `render` method to support the new `ContentType` we can modify `Message` and `MessageVM` extensions method to use the `MARKDOWN` type: - -```kotlin -fun MessageVM.asDomainObject(contentType: ContentType = ContentType.MARKDOWN): Message = Message( - content, - contentType, - sent, - user.name, - user.avatarImageLink.toString(), - id -) - -fun Message.asViewModel(): MessageVM = MessageVM( - contentType.render(content), - UserVM(username, URL(userAvatarImageLink)), - sent, - id -) -``` - -Finally, we may modify our tests to ensure that the `MARKDOWN` `contentType` is appropriately rendered. For that purpose, we have to alter the `ChatKotlinApplicationTests.kt` and change the following: - - -```kotlin -... -@BeforeEach -fun setUp() { - ... - Message( - "**testMessage2**", - ContentType.MARKDOWN, - secondBeforeNow, - "test1", - "http://test.com" - ), - Message( - "`testMessage3`", - ContentType.MARKDOWN, - now, - "test2", - "http://test.com" - ) - ... -} - -... - -@ParameterizedTest -@ValueSource(booleans = [true, false]) -fun `test that messages API returns latest messages`(withLastMessageId: Boolean) { - ... - - assertThat(messages?.map { it.prepareForTesting() }) - .containsSubsequence( - MessageVM( - "

    testMessage2

    ", - UserVM("test1", URL("http://test.com")), - now.minusSeconds(1).truncatedTo(MILLIS) - ), - MessageVM( - "

    testMessage3

    ", - UserVM("test2", URL("http://test.com")), - now.truncatedTo(MILLIS) - ) - ) -} - -@Test -fun `test that messages posted to the API are stored`() { - ... - messageRepository.findAll() - .first { it.content.contains("HelloWorld") } - .apply { - assertThat(this.prepareForTesting()) - .isEqualTo(Message( - "`HelloWorld`", - ContentType.MARKDOWN, - now.plusSeconds(1).truncatedTo(MILLIS), - "test", - "http://test.com" - )) - } -} -``` - -Once it is done, we will see that all tests are still passing, and the messages with the `MARKDOWN` content type are rendered as expected. - -During this step, we have seen how to use extensions to improve code quality. We also learned how `when` expression can reduce human error when it comes to adding new business features. - -Last but not least, our application supports a minimal set of features and has a high-quality codebase. We can finish with these; however, there is a valuable Kotlin feature that improves one vital application characteristic - performance. - -During the next step, we will improve our app's performance using Kotlin Coroutines and Flow API. \ No newline at end of file diff --git a/guide/5-async-reactive.md b/guide/5-async-reactive.md deleted file mode 100644 index 3321d61..0000000 --- a/guide/5-async-reactive.md +++ /dev/null @@ -1,222 +0,0 @@ -# Refactoring to Async with Coroutines and to Streaming with Flow - -Welcome to the fourth step of our tutorial. - -At this step of the tutorial, we will be modifying our code base to bring the coroutines' -support. Also, at the second part of this step we will be rewriting our services and -controller to replaces pull-based API onto the push-based (a.k.a streaming) API to the -chat application - -As the first step, let's make our application fully asynchronous. For that purpose -, Kotlin provides us with the powerful mechanism called [coroutines](https://kotlinlang.org/docs/reference/coroutines/coroutines-guide.html). - -Essentially, coroutines are light-weight threads and allow performing asynchronous -code in the imperative manner. That solves various of [problems](https://stackoverflow.com/a/11632412/4891253) -related to the callback (observer) pattern used to solve the same problem before. - -> ⚠️ In this tutorial, we will not go too deep into the coroutines and the standard -> kotlinx.coroutines library. To learn more about coroutines and its features, please -> look at the following [tutorial](https://play.kotlinlang.org/hands-on/Introduction%20to%20Coroutines%20and%20Channels/01_Introduction). - -To start using Kotlin coroutines, we have to add one extra library to the `build.gradle.kts`: - -```kotlin -dependencies { - ... - implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core") - ... -} -``` - -Once the dependency on the coroutines is added, we can start using the main coroutines - related keyword `suspend`. Using the `suspend` keyword we indicate that the function - being called is an asynchronous one. Unlike other languages where similar concept is - exposed via `async`/`await` keywords, the `suspend` function must be handled in the - coroutine context which can be either another `suspend` function or explicit coroutine - [`Job`](https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/kotlinx.coroutines/-job/index.html) - created via [`CoroutineScope.launch`](https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/kotlinx.coroutines/launch.html) - or [`runBlocking`](https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/kotlinx.coroutines/run-blocking.html) functions. - -Thus, as the very first step on bring coroutines into the project, we will add - `suspend` keyword to all controllers and services methods that we have in the project. - For example, after the modification the `MessageService` interface should look like - the following: - -```kotlin -interface MessageService { - - suspend fun latest(): List - - suspend fun latestAfter(lastMessageId: String): List - - suspend fun post(message: MessageVM) -} -``` - -Although in the most cases it is enough to add the `org.jetbrains.kotlinx:kotlinx-coroutines-core` - dependency, to have proper integration with Spring Framework we need to replace our web - and database modules of the framework: - -
    -
    -dependencies {
    -    ...
    -    implementation("org.springframework.boot:spring-boot-starter-web")
    -    implementation("org.springframework.boot:spring-boot-starter-data-jdbc")
    -    ...
    -}
    -
    -
    - -on to the following: - -```kotlin -dependencies { - ... - implementation("org.springframework.boot:spring-boot-starter-webflux") - implementation("org.springframework.boot:spring-boot-starter-data-r2dbc") - implementation("io.r2dbc:r2dbc-h2") - ... -} -``` - -By adding the above dependencies we replace a standard blocking WebMVC with a fully - reactive and non-blocking WebFlux. In turn, a blocking JDBC is replaced with a fully - reactive and non-blocking R2DBC. - -Thanks to all Spring Framework engineers, migration from Spring WebMVC to Spring - WebFlux is seamless, and one don`t have to rewrite anything at all! Though, for R2DBC - we have to do a few extra steps. - -First, we need to add a configuration file: - -```kotlin -@Configuration -class R2dbcConnectionFactoryConfiguration { - - @Bean - fun initializer(connectionFactory: ConnectionFactory): ConnectionFactoryInitializer { - val initializer = ConnectionFactoryInitializer() - initializer.setConnectionFactory(connectionFactory) - val populator = CompositeDatabasePopulator() - populator.addPopulators(ResourceDatabasePopulator(ClassPathResource("./sql/schema.sql"))) - initializer.setDatabasePopulator(populator) - return initializer - } -} -``` - -> ⚠️ Please, add the above configuration into the `com/example/kotlin/chat/configuration` folder - -The above configuration is a utility one and ensure that the table's schema is - initialized on the application startup. - -The second step should be replacing the previous properties in the `application.properties` onto the following one: - -```properties -spring.r2dbc.url=r2dbc:h2:file:///./build/data/testdb;USER=sa;PASSWORD=password -``` - -Once, we have done a few basic configuration related changes, let's do migration from - Spring Data JDBC to Spring Data R2DBC. To do that, we have to modify the - `MessageRepository` interface and replace `PagingAndSortingRepository` onto - `CoroutineCrudRepository`: - -```kotlin -interface MessageRepository : CoroutineCrudRepository { - - ... - fun findLatest(): Flow - - ... - fun findLatest(@Param("id") id: String): Flow -} -``` - -Note, all methods of the `CoroutineCrudRepository` are designed well for Kotlin - coroutines. Also, if before we had returned the `List` type now we return an - asynchronous stream of messages exposed through `Flow`. - -> ⚠️ Note, `@Query` annotation now is in the different package, so it should be -> imported as the following: -> ```kotlin -> import org.springframework.data.r2dbc.repository.Query -> ``` - -Once the `MessageRepository` is changed we need to fix a few compilation issues in - the `DefaultMessageService`: - -```kotlin -@Service -class DefaultMessageService(val messageRepository: MessageRepository) : MessageService { - - override suspend fun latest(): List = - messageRepository.findLatest() - .map { it.asViewModel() } - .toList() - - override suspend fun latestAfter(lastMessageId: String): List = - messageRepository.findLatest(lastMessageId) - .map { it.asViewModel() } - .toList() - - ... -} -``` - -Note, that the `.map` and `.toList()` in that case are extension functions from the `kotlinx.coroutines.flow` -package, thus they have to be properly imported in the file: - -```kotlin -import kotlinx.coroutines.flow.map -import kotlinx.coroutines.flow.toList -``` - -If you have applied the above changes, it should be enough to maker your application - asynchronous and non-blocking. Once the ChatApplication is re-run, nothing should be - changed from the functionality perspective, but now we have all the executions async - and non-blocking. - -Finally, we need to apply few more fixes to our tests as well, since now our - `MessageRepository` is asynchronous, thus we need to run all the related operations in - the coroutine context as it is shown below: - -```kotlin -@SpringBootTest( - webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT, - properties = [ - "spring.r2dbc.url=r2dbc:h2:mem:///testdb;USER=sa;PASSWORD=password" - ] -) -class ChatKotlinApplicationTests { - ... - - @BeforeEach - fun setUp() = runBlocking { - ... - } - - @AfterEach - fun tearDown() = runBlocking { - ... - } - - ... - - @Test - fun `test that messages posted to the API is stored`(): Unit = runBlocking { - ... - } -} -``` - -> ⚠️ Note, in that case the `.first` method extension should be imported from the `kotlinx.coroutines.flow` package - -As we may see from the example above, we can easily fix our tests using `runBlocking -` method which allows performing a coroutine and then wait for its completion. - -We can stop at this point, however there is the last option of making our application a - streaming like. In such a case, frontend will not be polling the server anymore and - instead the server will be pushing all the new messages to all connected clients. - - \ No newline at end of file diff --git a/guide/art/kotlin_springboot_application_schema.svg b/guide/art/kotlin_springboot_application_schema.svg deleted file mode 100644 index f5c46c4..0000000 --- a/guide/art/kotlin_springboot_application_schema.svg +++ /dev/null @@ -1,58 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - From 178a70a1385947a728f764a474cea7a33aafa836 Mon Sep 17 00:00:00 2001 From: Anton Arhipov Date: Tue, 2 Feb 2021 13:10:09 +0200 Subject: [PATCH 06/18] added animated gif visualizing the chat application --- README.adoc | 2 ++ images/chat.gif | Bin 0 -> 889535 bytes 2 files changed, 2 insertions(+) create mode 100644 images/chat.gif diff --git a/README.adoc b/README.adoc index cb973ed..b717726 100644 --- a/README.adoc +++ b/README.adoc @@ -77,6 +77,8 @@ Alternatively, you can run the `./gradlew bootRun` command in the terminal. Once the application starts, open the following URL: http://localhost:8080. You will see a chat page with a collection of messages. +image::./images/chat.gif[] + In the following step, we will demonstrate how to integrate our application with a real database to store the messages. === Project overview diff --git a/images/chat.gif b/images/chat.gif new file mode 100644 index 0000000000000000000000000000000000000000..6aa59ee148bf7f3ad061b35dd9decb9794f9b682 GIT binary patch literal 889535 zcmaG``9IX(_kX=+eT~74eabeNkkE*-G#I;VjkU?vAd*x{3x!_8ShI|hD3v{xG9pQ6 zENMs@r4rI4AyGoYTlw_;2fp{Gd++1k`#9&GdzSk=$6=SfiE$7axesv~0Myp;ZgyUt zHdYL~ZTeIs2>hG+t4#j?8lbjJk`Rcg2xf*CI6<#S??Gz6= zw0SYqzvi^t9&gXCyfA+0p@UA*+OSwh_JBG`uciDYfBwNV{S38ae!BLIpyi?Tt9~S;e#Q+dn>$sH)U5hUb*-9YIN8} zl7f?|X3f1jvx`geaV=(@|hcRhW5z0X47=f#J-)zy!CT0A%m zN2gWFM=n?Yx|MZZ|V{ac%AIYGhpAjT>3<7H+-~390SvolQ;6 zX<_^B)t$EAVLClMQ(5<9N^s#z%<=qEm)eT*$DQ1gEBV=Z*H4G;J)6dL368Y(h`h$@ zebD^GEs!%Zxj69gi@T5M>eA1ruf}`3o?f`-l9G`3_s`336Jt+b4#p*fO^v^9d0g*z z=!B%Scx7Gv{L<2g(ecWmfsXDsGt-|J7QX%cZ+i9b8t-2H*u>Q6^vvh6k)h8sqZ2cK zS67$j7bnIh$}cp_vux!_;U?im`#EG*_K25R+L(2uaCt#_Gk9 zv5l}vC%se!9voaOo}v|B7`K*>V`Rsb1`dw-4y0A@HxbvJn~`;iB$2aW`B!i;U)zT! zbTixkD!VH99(^u6kIR*H%O+<|jrfd^Gn&SI=IKYSkmu*uM#pBx#%BKhU7Md@Tw3}! z9REH&Gx3kkzl&r4`rl_(SJ#%77FSmnCnm=KDFL(&C~G4an*v+UKr%Z10$xc+DpA9! z$g#Hc>3Nc2#E77_>{$-kCPQi0{qpXM+Mc)lyYE+Y#Qkg?zvWRQOh1DqG>vrE-F$h2 zo+PI1RA1F!=6Er`+T&@4RRyEW>6+7n+i&hL>msszlh60vWp!jIJ2zCnuM2ORxSDKu zclcq{=bmfM5B1;FoLZRv@cd!T$0tEQ5h^Z?yiXlzGLN$q4yrtP#?^4X?(*pVm*)kB zhemrJ)lI%E)_Oi4y}S17>nhKj7x#Bx|Mrd-^8C8%oU)-@0hq@?fS~zU6 zI+b)i@5I|j%9mum)SYMTS^7G;Z?2jDrFbh;DAWzg-mD2-BxNvY^zy<=rJ%V&?$w4D z3%l^iviCc1D}$S-tDbz?(C-@?7xeW;b;CvlnymPGPlc?Ux@>r9#=OAC`Vd!>ok?%D^$j&0$_aX@|C^Sx-M;ToLQnkA=9qF`mNZ#)7{JH5594iTxIEJQ$j_w1I&<)BXY;J5 z1F6RD6=dn@TkouF3IN|5DVLRe9!~VfJ-9qNK0xfrawqEiDZ-hYK%nYu>!O z{KM{36U%;OydoWb}7e9>Nj%Ht>YYI2Z19T-S4g;fiy26)vHu#y79KlRrx6Z|N) zy|wVCAe$2}arn-C5DN8-z`s{JS!3zEdT{f%tY)O=y#z{gvJ%SmiLcC1hE~pJJr;In zI0#PU=ExNB#Sm%NBTM1>L7-h`o|J^NcE`{G82Y4mW5s8XjvZ%#f1zyK?^f`#9xLIO zGaU+JH~d+dOI7Yp&0KHTU-oGeMJ2Qt&VdAv9bO>V4jvbz(l0+CF1rBcWd5NTGW@C= zgU3~|5Ak5Jy#NBIc7ksH&xKmTyW<8zf>tIB%@GnL zP1{<=lOkMRo*(A3HtTL*qtIP4W~yy`iq5vEh1DvuvfS$4kdb+bwOsp+rV$T0`6TRm^?rR=}KlsI(eIH+24_MD+Vg|7{a(zU&3^MGZ<|)VjT2Z01F_E6bV*CRG}r22h3A7^ zWWU@qhC4V9y}GhgU*&o?V$buTw@phAa_&|~ z9&jEWS|3_!Xnb+^$m!?9qpM2~`4ab{Ql0-fsNapu=gDeQQdcI-em@ds-8*s9`NOpD z@20^Q_f9>0{^9!>1;a(E?Jq8VBz`VLWy-bY%)95KOHIF9=CW$yCY?X74*hOjeo>R~ z`}xPetG}NBk~|peB0?xG^Jl-L!h+|1XUNNK#B3f%%jJ`p-*P*tkC$TH9EdhFc{uTf zm*(IyCVh3eQ`@aJ!=afa-=i-6INVxBTy6Ac0@G|uUv2j3-p?xkEkC389XnJoCukoxUi?~)3Q|hSii>?+w=h8P;2g_Z!cI@imW<}GA zNxY<>BYHj;dk2wXG1`{gAUC%*sy)De{reJH!J?nD zZJ-#pyq$AnvoglYtBo*Kaa?X5AnX+|RcUu;X=#YzD}4`Jf4}%4{ybP-uPQ0& z^PR}|Gf7zUD!5%v#Y`kT23|#-RIzZ!8!+SKO2ebC#)k-rRbxAY!a@ARKvBFGTdHM! z(N)eDfN3L1c%N`9O=|#7e9}eyamh|2O*nrhPHjT|>FF~oKY<-{rv27h_2vD}ITEs^ zIK?QsjMB9uPG_&E<~J^#F(oDvO~^9WTAyN4loKnv)x`q-h3Iiop^{8KC@DPiWYX<- z({TKgMG@H9ru?z{Z3-U2Y!u0jCgy$Cl7*4Qemtb>KUVweG7G}Fl<{b zi9epUC~yWjs$QRX0eNi*N2=`xUvheY?H|1LlgEF5zg&-VHf>G-00SaoACIs|JUII% z^kE4>my1lg8HM1X?_d?r9I&CVY|smu-sIQ^40P}uI+%fOB_G;2sTjtheh6X|QrS-o z&a@mus8PdKh=|*%iYu1`0Y1W&PRJ!9vUvU{>8Ryrfws>u^TlHF07&FP3t{-P#T<=J zf+86pG9V2uz6W~}&*emma9$}mb4KzV7Ss@hb!vq65|KNoNJ$ZPD;N9WEh3nUe<%bU zqwt(L55P%Tzi;qyF13p5? 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z)~>TJugj{f7Bto!_+7VImJCo=5lBe~BCtu)RW5me0PFt^000Ja1poge>i?Sj-``vZ G%>M`6=6h!V literal 0 HcmV?d00001 From 9b3b7a3cd23f423924297eb26958517aeebe0ee7 Mon Sep 17 00:00:00 2001 From: Oleh Dokuka Date: Tue, 16 Feb 2021 12:47:25 +0200 Subject: [PATCH 07/18] polishing --- LICENSE.code.txt | 13 +++++++++++++ LICENSE.writing.txt | 1 + README.adoc | 12 +++++++++++- 3 files changed, 25 insertions(+), 1 deletion(-) create mode 100644 LICENSE.code.txt create mode 100644 LICENSE.writing.txt diff --git a/LICENSE.code.txt b/LICENSE.code.txt new file mode 100644 index 0000000..f90344c --- /dev/null +++ b/LICENSE.code.txt @@ -0,0 +1,13 @@ +Copyright 2015-2019 the original author or authors. + +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. \ No newline at end of file diff --git a/LICENSE.writing.txt b/LICENSE.writing.txt new file mode 100644 index 0000000..215c75c --- /dev/null +++ b/LICENSE.writing.txt @@ -0,0 +1 @@ +Except where otherwise noted, this work is licensed under https://creativecommons.org/licenses/by-nd/3.0/ \ No newline at end of file diff --git a/README.adoc b/README.adoc index b717726..cff5bfa 100644 --- a/README.adoc +++ b/README.adoc @@ -1,8 +1,16 @@ +--- +tags: [kotlin, reactive, rsocket, testing] +projects: [spring-framework, spring-boot, spring-webflux, spring-messaging] +--- :toc: :icons: font :source-highlighter: prettify :project_id: tut-spring-webflux-kotlin-rsocket :tabsize: 2 +:image-width: 500 +:book-root: . + += Building Chat Application with Kotlin, Spring Boot, WebFlux & RSocket == Introduction @@ -1414,4 +1422,6 @@ fun `test that messages streamed to the API is stored`() { } ----- -This was the final part in the tutorial. We started with a simple chat application in which the UI was polling for new messages while the backend was blocking when running the database queries. We gradually added features to the application and migrated it to the reactive Spring stack. The backend is now fully asynchronous, making use of Spring WebFlux and Kotlin coroutines. \ No newline at end of file +This was the final part in the tutorial. We started with a simple chat application in which the UI was polling for new messages while the backend was blocking when running the database queries. We gradually added features to the application and migrated it to the reactive Spring stack. The backend is now fully asynchronous, making use of Spring WebFlux and Kotlin coroutines. + +include::https://raw.githubusercontent.com/spring-guides/getting-started-macros/master/footer.adoc[] \ No newline at end of file From 965b97bd5bd3827ca1c60d70b41d02069af5c5a3 Mon Sep 17 00:00:00 2001 From: Oleh Dokuka Date: Tue, 16 Feb 2021 12:49:38 +0200 Subject: [PATCH 08/18] polishing --- README.adoc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.adoc b/README.adoc index cff5bfa..746c544 100644 --- a/README.adoc +++ b/README.adoc @@ -12,8 +12,6 @@ projects: [spring-framework, spring-boot, spring-webflux, spring-messaging] = Building Chat Application with Kotlin, Spring Boot, WebFlux & RSocket -== Introduction - The tutorial shows you how to build a simple chat application using Spring Boot and Kotlin. You will learn about the benefits of using Kotlin for server-side development from a syntax perspective. We’ll start with a minimal implementation of the application, and we will evolve it step by step.At the start, the application will generate and display fake messages and use the classical blocking request-response model to get data to the UI.Through the tutorial, we are going to evolve the application by adding persistence and extensions, and migrating to a non-blocking streaming style for serving the data from the backend to the UI. @@ -1422,6 +1420,8 @@ fun `test that messages streamed to the API is stored`() { } ----- +== Summary + This was the final part in the tutorial. We started with a simple chat application in which the UI was polling for new messages while the backend was blocking when running the database queries. We gradually added features to the application and migrated it to the reactive Spring stack. The backend is now fully asynchronous, making use of Spring WebFlux and Kotlin coroutines. include::https://raw.githubusercontent.com/spring-guides/getting-started-macros/master/footer.adoc[] \ No newline at end of file From 658e6aa48e88f8d5d7ccf84f4987e30cf84f6138 Mon Sep 17 00:00:00 2001 From: Dave Syer Date: Tue, 16 Feb 2021 12:05:04 +0000 Subject: [PATCH 09/18] Edit top-matter metadata to match other guides --- README.adoc | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/README.adoc b/README.adoc index 746c544..110085c 100644 --- a/README.adoc +++ b/README.adoc @@ -1,7 +1,3 @@ ---- -tags: [kotlin, reactive, rsocket, testing] -projects: [spring-framework, spring-boot, spring-webflux, spring-messaging] ---- :toc: :icons: font :source-highlighter: prettify @@ -10,8 +6,6 @@ projects: [spring-framework, spring-boot, spring-webflux, spring-messaging] :image-width: 500 :book-root: . -= Building Chat Application with Kotlin, Spring Boot, WebFlux & RSocket - The tutorial shows you how to build a simple chat application using Spring Boot and Kotlin. You will learn about the benefits of using Kotlin for server-side development from a syntax perspective. We’ll start with a minimal implementation of the application, and we will evolve it step by step.At the start, the application will generate and display fake messages and use the classical blocking request-response model to get data to the UI.Through the tutorial, we are going to evolve the application by adding persistence and extensions, and migrating to a non-blocking streaming style for serving the data from the backend to the UI. @@ -1424,4 +1418,4 @@ fun `test that messages streamed to the API is stored`() { This was the final part in the tutorial. We started with a simple chat application in which the UI was polling for new messages while the backend was blocking when running the database queries. We gradually added features to the application and migrated it to the reactive Spring stack. The backend is now fully asynchronous, making use of Spring WebFlux and Kotlin coroutines. -include::https://raw.githubusercontent.com/spring-guides/getting-started-macros/master/footer.adoc[] \ No newline at end of file +include::https://raw.githubusercontent.com/spring-guides/getting-started-macros/master/footer.adoc[] From 0ca7b7b3cbb144002d5af2980875cfeabab9abdd Mon Sep 17 00:00:00 2001 From: Dave Syer Date: Tue, 16 Feb 2021 12:11:24 +0000 Subject: [PATCH 10/18] Remove external include --- README.adoc | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.adoc b/README.adoc index 110085c..872bddb 100644 --- a/README.adoc +++ b/README.adoc @@ -1417,5 +1417,3 @@ fun `test that messages streamed to the API is stored`() { == Summary This was the final part in the tutorial. We started with a simple chat application in which the UI was polling for new messages while the backend was blocking when running the database queries. We gradually added features to the application and migrated it to the reactive Spring stack. The backend is now fully asynchronous, making use of Spring WebFlux and Kotlin coroutines. - -include::https://raw.githubusercontent.com/spring-guides/getting-started-macros/master/footer.adoc[] From e61c87e3ef854a6150c427c5586df54d07d0fc62 Mon Sep 17 00:00:00 2001 From: Brian Clozel Date: Tue, 16 Feb 2021 13:56:50 +0100 Subject: [PATCH 11/18] Serve images from github See spring-io/sagan#1017 --- README.adoc | 27 ++++++++++++++------------- 1 file changed, 14 insertions(+), 13 deletions(-) diff --git a/README.adoc b/README.adoc index 872bddb..2648911 100644 --- a/README.adoc +++ b/README.adoc @@ -4,6 +4,7 @@ :project_id: tut-spring-webflux-kotlin-rsocket :tabsize: 2 :image-width: 500 +:images: https://raw.githubusercontent.com/spring-guides/tut-spring-webflux-kotlin-rsocket/master/images :book-root: . The tutorial shows you how to build a simple chat application using Spring Boot and Kotlin. You will learn about the benefits of using Kotlin for server-side development from a syntax perspective. @@ -31,11 +32,11 @@ This project is based on Spring Boot 2.4.0, which requires Kotlin 1.4.10. Make s Clone the repository from IntelliJ IDEA by choosing `File | New | Project from Version Control`. -image::./images/download-from-vcs.png[] +image::{images}/download-from-vcs.png[] Specify the project path: http://github.com/kotlin-hands-on/kotlin-spring-chat. -image::./images/download-from-vcs-github.png[] +image::{images}/download-from-vcs-github.png[] Once you clone the project, IntelliJ IDEA will import and open it automatically. Alternatively, you can clone the project with the command line: @@ -47,7 +48,7 @@ $ git clone https://github.com/kotlin-hands-on/kotlin-spring-chat. Note that the project includes solution branches for each part of the tutorial. You can browse all the branches in the IDE by invoking the Branches action: -image::./images/intellij-git-branches.png[] +image::{images}/intellij-git-branches.png[] Or you can use the command line: @@ -56,28 +57,28 @@ git branch -a It is possible to use the `Compare with branch` command in IntelliJ IDEA to compare your solution with the proposed one. -image::./images/intellij-git-compare-with-branch.png[] +image::{images}/intellij-git-compare-with-branch.png[] For instance, here is the list differences between the `initial` branch and `part-2` branch: -image::./images/intellij-git-compare-with-branch-diff.png[] +image::{images}/intellij-git-compare-with-branch-diff.png[] By clicking on the individual files, you can see the changes at a line level. -image::./images/intellij-git-compare-with-branch-file-diff.png[] +image::{images}/intellij-git-compare-with-branch-file-diff.png[] This should help you in the event that you have any trouble with the instructions at any stage of the tutorial. === Launching the application The `main` method for the application is located in the `ChatKotlinApplication.kt` file. Simply click on the gutter icon next to the main method or hit the `Alt+Enter` shortcut to invoke the launch menu in IntelliJ IDEA: -image::./images/intellij-run-app-from-main.png[] +image::{images}/intellij-run-app-from-main.png[] Alternatively, you can run the `./gradlew bootRun` command in the terminal. Once the application starts, open the following URL: http://localhost:8080. You will see a chat page with a collection of messages. -image::./images/chat.gif[] +image::{images}/chat.gif[] In the following step, we will demonstrate how to integrate our application with a real database to store the messages. @@ -85,7 +86,7 @@ In the following step, we will demonstrate how to integrate our application with Let's take a look at the general application overview. In this tutorial, we are going to build a simple chat application that has the following architecture: -image::./images/application-architecture.png[] +image::{images}/application-architecture.png[] Our application is an ordinary 3-tier web application. The client facing tier is implemented by the `HtmlController` and `MessagesResource` classes. The application makes use of server-side rendering via the _Thymeleaf_ template engine and is served by `HtmlController`. The message data API is provided by `MessagesResource`, which connects to the service layer. @@ -98,7 +99,7 @@ The `PersistentMessageService` connects to a database to store the messages. We After you have downloaded the project sources and opened them in the IDE, you will see the following structure, which includes the classes mentioned above. -image::./images/project-tree.png[] +image::{images}/project-tree.png[] Under the `main/kotlin` folder there are packages and classes that belong to the application. In that folder, we are going to add more classes and make changes to the existing code to evolve the application. @@ -287,7 +288,7 @@ runtimeOnly("com.h2database:h2") ⚠️ To refresh the list of the project dependencies, click on the little elephant icon that appears in the top right-hand corner of the editor. -image::./images/intellij-gradle-reload.png[] +image::{images}/intellij-gradle-reload.png[] === Create database schema and configuration @@ -307,7 +308,7 @@ CREATE TABLE IF NOT EXISTS messages ( ⌨️ Create a new folder called `sql` in the `src/main/resources` directory. Then put the SQL code from above into the `src/main/resources/sql/schema.sql` file. -image::./images/schema-sql-location.png[] +image::{images}/schema-sql-location.png[] Also, you should modify `application.properties` so it contains the following attributes: @@ -607,7 +608,7 @@ The test above looks similar to the previous one, except we check that the poste Once we have implemented all these tests, we can run them and see whether they pass. -image::./images/intellij-running-tests.png[] +image::{images}/intellij-running-tests.png[] At this stage, we added message persistence to our chat application. The messages can now be delivered to all active clients that connect to the application. Additionally, we can now access the historical data, so everyone can read previous messages if they need to. From 837dd72dfabde957138f56e89f02dce2958bd373 Mon Sep 17 00:00:00 2001 From: Brian Clozel Date: Tue, 16 Feb 2021 14:00:29 +0100 Subject: [PATCH 12/18] Move images to different location See spring-io/sagan#1017 --- README.adoc | 2 +- {images => static}/application-architecture.png | Bin {images => static}/chat.gif | Bin {images => static}/download-from-vcs-github.png | Bin {images => static}/download-from-vcs.png | Bin {images => static}/intellij-git-branches.png | Bin .../intellij-git-compare-with-branch-diff.png | Bin .../intellij-git-compare-with-branch-file-diff.png | Bin .../intellij-git-compare-with-branch.png | Bin {images => static}/intellij-gradle-reload.png | Bin {images => static}/intellij-run-app-from-main.png | Bin {images => static}/intellij-running-tests.png | Bin {images => static}/project-tree.png | Bin {images => static}/schema-sql-location.png | Bin 14 files changed, 1 insertion(+), 1 deletion(-) rename {images => static}/application-architecture.png (100%) rename {images => static}/chat.gif (100%) rename {images => static}/download-from-vcs-github.png (100%) rename {images => static}/download-from-vcs.png (100%) rename {images => static}/intellij-git-branches.png (100%) rename {images => static}/intellij-git-compare-with-branch-diff.png (100%) rename {images => static}/intellij-git-compare-with-branch-file-diff.png (100%) rename {images => static}/intellij-git-compare-with-branch.png (100%) rename {images => static}/intellij-gradle-reload.png (100%) rename {images => static}/intellij-run-app-from-main.png (100%) rename {images => static}/intellij-running-tests.png (100%) rename {images => static}/project-tree.png (100%) rename {images => static}/schema-sql-location.png (100%) diff --git a/README.adoc b/README.adoc index 2648911..f565cf1 100644 --- a/README.adoc +++ b/README.adoc @@ -4,7 +4,7 @@ :project_id: tut-spring-webflux-kotlin-rsocket :tabsize: 2 :image-width: 500 -:images: https://raw.githubusercontent.com/spring-guides/tut-spring-webflux-kotlin-rsocket/master/images +:images: https://raw.githubusercontent.com/spring-guides/tut-spring-webflux-kotlin-rsocket/master/static :book-root: . The tutorial shows you how to build a simple chat application using Spring Boot and Kotlin. You will learn about the benefits of using Kotlin for server-side development from a syntax perspective. diff --git a/images/application-architecture.png b/static/application-architecture.png similarity index 100% rename from images/application-architecture.png rename to static/application-architecture.png diff --git a/images/chat.gif b/static/chat.gif similarity index 100% rename from images/chat.gif rename to static/chat.gif diff --git a/images/download-from-vcs-github.png b/static/download-from-vcs-github.png similarity index 100% rename from images/download-from-vcs-github.png rename to static/download-from-vcs-github.png diff --git a/images/download-from-vcs.png b/static/download-from-vcs.png similarity index 100% rename from images/download-from-vcs.png rename to static/download-from-vcs.png diff --git a/images/intellij-git-branches.png b/static/intellij-git-branches.png similarity index 100% rename from images/intellij-git-branches.png rename to static/intellij-git-branches.png diff --git a/images/intellij-git-compare-with-branch-diff.png b/static/intellij-git-compare-with-branch-diff.png similarity index 100% rename from images/intellij-git-compare-with-branch-diff.png rename to static/intellij-git-compare-with-branch-diff.png diff --git a/images/intellij-git-compare-with-branch-file-diff.png b/static/intellij-git-compare-with-branch-file-diff.png similarity index 100% rename from images/intellij-git-compare-with-branch-file-diff.png rename to static/intellij-git-compare-with-branch-file-diff.png diff --git a/images/intellij-git-compare-with-branch.png b/static/intellij-git-compare-with-branch.png similarity index 100% rename from images/intellij-git-compare-with-branch.png rename to static/intellij-git-compare-with-branch.png diff --git a/images/intellij-gradle-reload.png b/static/intellij-gradle-reload.png similarity index 100% rename from images/intellij-gradle-reload.png rename to static/intellij-gradle-reload.png diff --git a/images/intellij-run-app-from-main.png b/static/intellij-run-app-from-main.png similarity index 100% rename from images/intellij-run-app-from-main.png rename to static/intellij-run-app-from-main.png diff --git a/images/intellij-running-tests.png b/static/intellij-running-tests.png similarity index 100% rename from images/intellij-running-tests.png rename to static/intellij-running-tests.png diff --git a/images/project-tree.png b/static/project-tree.png similarity index 100% rename from images/project-tree.png rename to static/project-tree.png diff --git a/images/schema-sql-location.png b/static/schema-sql-location.png similarity index 100% rename from images/schema-sql-location.png rename to static/schema-sql-location.png From 589d806269e0f02296f7caf98cc199bee6888a79 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?S=C3=A9bastien=20Deleuze?= Date: Fri, 19 Feb 2021 16:12:47 +0100 Subject: [PATCH 13/18] Fix IDEA download link --- README.adoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.adoc b/README.adoc index f565cf1..43b0055 100644 --- a/README.adoc +++ b/README.adoc @@ -24,7 +24,7 @@ This tutorial is designed for Java developers who have already had their hands o == Part 1: Initial setup and introduction to the project -To start working on this tutorial, we'll need one of the latest versions of IntelliJ IDEA – any version from 2018.1 onwards.You can download the latest free community version [here](https://www.jetbrains.com/idea/download). +To start working on this tutorial, we'll need one of the latest versions of IntelliJ IDEA – any version from 2018.1 onwards.You can download the latest free community version https://www.jetbrains.com/idea/download[here]. This project is based on Spring Boot 2.4.0, which requires Kotlin 1.4.10. Make sure version 1.4+ of the Kotlin plugin is installed.To update the Kotlin plugin, use `Tools | Kotlin | Configure Kotlin Plugin Updates`. From 547d8ebc9dcfbb1b746e80965912f728017991bc Mon Sep 17 00:00:00 2001 From: Anton Arhipov Date: Mon, 8 Mar 2021 14:36:35 +0200 Subject: [PATCH 14/18] updates README.adoc (#1) - removed a redundant dot '.' from the URL in git command - https for URLs --- README.adoc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.adoc b/README.adoc index 43b0055..612472d 100644 --- a/README.adoc +++ b/README.adoc @@ -34,7 +34,7 @@ Clone the repository from IntelliJ IDEA by choosing `File | New | Project from V image::{images}/download-from-vcs.png[] -Specify the project path: http://github.com/kotlin-hands-on/kotlin-spring-chat. +Specify the project path: https://github.com/kotlin-hands-on/kotlin-spring-chat. image::{images}/download-from-vcs-github.png[] @@ -42,7 +42,7 @@ Once you clone the project, IntelliJ IDEA will import and open it automatically. Alternatively, you can clone the project with the command line: [source,bash] -$ git clone https://github.com/kotlin-hands-on/kotlin-spring-chat. +$ git clone https://github.com/kotlin-hands-on/kotlin-spring-chat === Solution branches From d92911bafd4b0fd06d8ff7c7d3564af42a84f852 Mon Sep 17 00:00:00 2001 From: Oleh Dokuka Date: Wed, 21 Apr 2021 09:59:28 +0300 Subject: [PATCH 15/18] updates dependencies --- README.adoc | 4 ++-- build.gradle.kts | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/README.adoc b/README.adoc index 612472d..9ed2a30 100644 --- a/README.adoc +++ b/README.adoc @@ -721,7 +721,7 @@ We can now move forward and implement support for the `MARKDOWN` content type. F ----- dependencies { ... - implementation("org.jetbrains:markdown:0.1.45") + implementation("org.jetbrains:markdown:0.2.2") ... } ----- @@ -1274,7 +1274,7 @@ We are going to add one more dependency specifically for tests. https://github.c ----- dependencies { ... - testImplementation("app.cash.turbine:turbine:0.3.0") + testImplementation("app.cash.turbine:turbine:0.4.1") ... } ----- diff --git a/build.gradle.kts b/build.gradle.kts index b3f827a..1935224 100644 --- a/build.gradle.kts +++ b/build.gradle.kts @@ -1,10 +1,10 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompile plugins { - id("org.springframework.boot") version "2.4.0" - id("io.spring.dependency-management") version "1.0.10.RELEASE" - kotlin("jvm") version "1.4.10" - kotlin("plugin.spring") version "1.4.10" + id("org.springframework.boot") version "2.4.5" + id("io.spring.dependency-management") version "1.0.11.RELEASE" + kotlin("jvm") version "1.4.32" + kotlin("plugin.spring") version "1.4.32" } group = "com.example.kotlin" From 90b9623f447d92e3a2409e6737089e5351b48646 Mon Sep 17 00:00:00 2001 From: Andrii Maliuta Date: Sat, 26 Nov 2022 14:06:17 +0200 Subject: [PATCH 16/18] Update to Spring Boot 3.0.3 --- build.gradle.kts | 17 +++++++++-------- gradle/wrapper/gradle-wrapper.properties | 2 +- 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/build.gradle.kts b/build.gradle.kts index 1935224..c626f7b 100644 --- a/build.gradle.kts +++ b/build.gradle.kts @@ -1,23 +1,23 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompile plugins { - id("org.springframework.boot") version "2.4.5" - id("io.spring.dependency-management") version "1.0.11.RELEASE" - kotlin("jvm") version "1.4.32" - kotlin("plugin.spring") version "1.4.32" + id("org.springframework.boot") version "3.0.3" + id("io.spring.dependency-management") version "1.1.0" + kotlin("jvm") version "1.7.22" + kotlin("plugin.spring") version "1.7.22" } group = "com.example.kotlin" version = "0.0.1-SNAPSHOT" -java.sourceCompatibility = JavaVersion.VERSION_11 +java.sourceCompatibility = JavaVersion.VERSION_17 + repositories { mavenCentral() - jcenter() - maven { url = uri("https://repo.spring.io/milestone") } } dependencies { + implementation("org.springframework.boot:spring-boot-starter") implementation("org.springframework.boot:spring-boot-starter-actuator") implementation("org.springframework.boot:spring-boot-starter-thymeleaf") implementation("org.springframework.boot:spring-boot-starter-web") @@ -31,6 +31,7 @@ dependencies { testImplementation("org.springframework.boot:spring-boot-starter-test") { exclude(group = "org.junit.vintage", module = "junit-vintage-engine") } + } tasks.withType { @@ -40,6 +41,6 @@ tasks.withType { tasks.withType { kotlinOptions { freeCompilerArgs = listOf("-Xjsr305=strict") - jvmTarget = "11" + jvmTarget = "17" } } diff --git a/gradle/wrapper/gradle-wrapper.properties b/gradle/wrapper/gradle-wrapper.properties index a4f0001..070cb70 100644 --- a/gradle/wrapper/gradle-wrapper.properties +++ b/gradle/wrapper/gradle-wrapper.properties @@ -1,5 +1,5 @@ distributionBase=GRADLE_USER_HOME distributionPath=wrapper/dists -distributionUrl=https\://services.gradle.org/distributions/gradle-6.4.1-bin.zip +distributionUrl=https\://services.gradle.org/distributions/gradle-7.6-bin.zip zipStoreBase=GRADLE_USER_HOME zipStorePath=wrapper/dists From a30624593b2fd0511d6a2b198197b5ec1ffbc959 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?David=20D=C3=A4ster?= Date: Mon, 14 Aug 2023 22:29:32 +0200 Subject: [PATCH 17/18] Update dependencies to: Spring Boot 3.1.2 / Kotlin 1.9.0 / Gradle 8.2.1 --- build.gradle.kts | 11 ++++++----- gradle/wrapper/gradle-wrapper.properties | 2 +- 2 files changed, 7 insertions(+), 6 deletions(-) diff --git a/build.gradle.kts b/build.gradle.kts index c626f7b..65d2a43 100644 --- a/build.gradle.kts +++ b/build.gradle.kts @@ -1,10 +1,10 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompile plugins { - id("org.springframework.boot") version "3.0.3" - id("io.spring.dependency-management") version "1.1.0" - kotlin("jvm") version "1.7.22" - kotlin("plugin.spring") version "1.7.22" + id("org.springframework.boot") version "3.1.2" + id("io.spring.dependency-management") version "1.1.2" + kotlin("jvm") version "1.9.0" + kotlin("plugin.spring") version "1.9.0" } group = "com.example.kotlin" @@ -26,7 +26,8 @@ dependencies { implementation("com.github.javafaker:javafaker:1.0.2") implementation("org.jetbrains.kotlin:kotlin-reflect") - implementation("org.jetbrains.kotlin:kotlin-stdlib-jdk8") + + developmentOnly("org.springframework.boot:spring-boot-devtools") testImplementation("org.springframework.boot:spring-boot-starter-test") { exclude(group = "org.junit.vintage", module = "junit-vintage-engine") diff --git a/gradle/wrapper/gradle-wrapper.properties b/gradle/wrapper/gradle-wrapper.properties index 070cb70..84a0b92 100644 --- a/gradle/wrapper/gradle-wrapper.properties +++ b/gradle/wrapper/gradle-wrapper.properties @@ -1,5 +1,5 @@ distributionBase=GRADLE_USER_HOME distributionPath=wrapper/dists -distributionUrl=https\://services.gradle.org/distributions/gradle-7.6-bin.zip +distributionUrl=https\://services.gradle.org/distributions/gradle-8.2.1-bin.zip zipStoreBase=GRADLE_USER_HOME zipStorePath=wrapper/dists From 4d21abce87e7dcb00a4c19d7b173d9a20d434809 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?David=20D=C3=A4ster?= Date: Tue, 15 Aug 2023 00:19:36 +0200 Subject: [PATCH 18/18] Update README.adoc --- README.adoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.adoc b/README.adoc index 9ed2a30..81e1622 100644 --- a/README.adoc +++ b/README.adoc @@ -26,7 +26,7 @@ This tutorial is designed for Java developers who have already had their hands o To start working on this tutorial, we'll need one of the latest versions of IntelliJ IDEA – any version from 2018.1 onwards.You can download the latest free community version https://www.jetbrains.com/idea/download[here]. -This project is based on Spring Boot 2.4.0, which requires Kotlin 1.4.10. Make sure version 1.4+ of the Kotlin plugin is installed.To update the Kotlin plugin, use `Tools | Kotlin | Configure Kotlin Plugin Updates`. +This project is based on Spring Boot 3.1.2 with Kotlin 1.9.0. Make sure version 1.9+ of the Kotlin plugin is installed. To update the Kotlin plugin, use `Tools | Kotlin | Configure Kotlin Plugin Updates`. === Downloading the project

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