利用Kotlin + Spring Boot实现后端开发

时间:2018-11-14
这篇文章主要给大家介绍了关于利用Kotlin + Spring Boot实现后端开发的相关资料，文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值，需要的朋友们下面随着小编来一起学习学习吧

前言

Spring官方最近宣布，将在Spring Framework 5.0版本中正式支持Kotlin语言。这意味着Spring Boot 2.x版本将为Kotlin提供一流的支持。

这并不会令人意外，因为Pivotal团队以广泛接纳​​JVM语言（如Scala和Groovy）而闻名。

Kotlin 是一个基于 JVM 的编程语言，它的简洁、便利早已不言而喻。Kotlin 能够胜任 Java 做的所有事。目前，我们公司 C 端 的 Android 产品全部采用 Kotlin 编写。公司的后端项目也可能会使用 Kotlin，所以我给他们做一些 demo 进行演示。

示例一：结合 Redis 进行数据存储和查询

1.1 配置 gradle

在build.gradle中添加插件和依赖的库。

plugins {
id 'java'
id 'org.jetbrains.kotlin.jvm' version '1.3.0'
}

ext {
libraries = [

rxjava : "2.2.2",

logback : "1.2.3",

spring_boot : "2.1.0.RELEASE",

commons_pool2 : "2.6.0",

fastjson : "1.2.51"
]
}

group 'com.kotlin.tutorial'
version '1.0-SNAPSHOT'

sourceCompatibility = 1.8

def libs = rootProject.ext.libraries // 库

repositories {
mavenCentral()
}

dependencies {
compile "org.jetbrains.kotlin:kotlin-stdlib-jdk8"
compile "org.jetbrains.kotlin:kotlin-reflect:1.3.0"
testCompile group: 'junit', name: 'junit', version: '4.12'

implementation "io.reactivex.rxjava2:rxjava:${libs.rxjava}"

implementation "ch.qos.logback:logback-classic:${libs.logback}"
implementation "ch.qos.logback:logback-core:${libs.logback}"
implementation "ch.qos.logback:logback-access:${libs.logback}"

implementation "org.springframework.boot:spring-boot-starter-web:${libs.spring_boot}"
implementation "org.springframework.boot:spring-boot-starter-data-redis:${libs.spring_boot}"
implementation "org.apache.commons:commons-pool2:${libs.commons_pool2}"
implementation "com.alibaba:fastjson:${libs.fastjson}"
}

compileKotlin {
kotlinOptions.jvmTarget = "1.8"
}
compileTestKotlin {
kotlinOptions.jvmTarget = "1.8"
}

1.2 创建 SpringKotlinApplication：

import org.springframework.boot.SpringApplication
import org.springframework.boot.autoconfigure.SpringBootApplication


/**
* Created by tony on 2018/11/13.
*/
@SpringBootApplication
open class SpringKotlinApplication

fun main(args: Array<String>) {
SpringApplication.run(SpringKotlinApplication::class.java, *args)
}

需要注意open的使用，如果不加open会报如下的错误：

org.springframework.beans.factory.parsing.BeanDefinitionParsingException: Configuration problem: @Configuration class 'SpringKotlinApplication' may not be final. Remove the final modifier to continue.

因为 Kotlin 的类默认是final的，所以这里需要使用open关键字。

1.3 配置 redis

在 application.yml 中添加 redis 的配置

spring:
 redis:
 #数据库索引
 database: 0
 host: 127.0.0.1
 port: 6379
 password:
 lettuce:
  pool:
  #最大连接数
  max-active: 8
  #最大阻塞等待时间(负数表示没限制)
  max-wait: -1
  #最大空闲
  max-idle: 8
  #最小空闲
  min-idle: 0
 #连接超时时间
 timeout: 10000

接下来定义 redis 的序列化器，本文采用fastjson，当然使用gson、jackson等都可以，看个人喜好。

import com.alibaba.fastjson.JSON
import com.alibaba.fastjson.serializer.SerializerFeature
import org.springframework.data.redis.serializer.RedisSerializer
import org.springframework.data.redis.serializer.SerializationException
import java.nio.charset.Charset

/**
 * Created by tony on 2018/11/13.
 */

class FastJsonRedisSerializer<T>(private val clazz: Class<T>) : RedisSerializer<T> {

 @Throws(SerializationException::class)
 override fun serialize(t: T?) = if (null == t) {
   ByteArray(0)
  } else JSON.toJSONString(t, SerializerFeature.WriteClassName).toByteArray(DEFAULT_CHARSET)

 @Throws(SerializationException::class)
 override fun deserialize(bytes: ByteArray?): T? {

  if (null == bytes || bytes.size <= 0) {
   return null
  }
  val str = String(bytes, DEFAULT_CHARSET)
  return JSON.parseObject(str, clazz) as T
 }

 companion object {
  private val DEFAULT_CHARSET = Charset.forName("UTF-8")
 }
}

创建 RedisConfig

import org.springframework.data.redis.core.RedisTemplate
import org.springframework.data.redis.connection.RedisConnectionFactory
import org.springframework.context.annotation.Bean
import org.springframework.data.redis.cache.RedisCacheManager
import org.springframework.cache.CacheManager
import org.springframework.cache.annotation.CachingConfigurerSupport
import org.springframework.cache.annotation.EnableCaching
import org.springframework.context.annotation.Configuration
import org.springframework.data.redis.serializer.StringRedisSerializer
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean
import org.springframework.boot.context.properties.EnableConfigurationProperties
import org.springframework.data.redis.core.RedisOperations
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass
import org.springframework.boot.autoconfigure.data.redis.RedisProperties


/**
 * Created by tony on 2018/11/13.
 */

@EnableCaching
@Configuration
@ConditionalOnClass(RedisOperations::class)
@EnableConfigurationProperties(RedisProperties::class)
open class RedisConfig : CachingConfigurerSupport() {

 @Bean(name = arrayOf("redisTemplate"))
 @ConditionalOnMissingBean(name = arrayOf("redisTemplate"))
 open fun redisTemplate(redisConnectionFactory: RedisConnectionFactory): RedisTemplate<Any, Any> {

  val template = RedisTemplate<Any, Any>()

  val fastJsonRedisSerializer = FastJsonRedisSerializer(Any::class.java)

  template.valueSerializer = fastJsonRedisSerializer
  template.hashValueSerializer = fastJsonRedisSerializer

  template.keySerializer = StringRedisSerializer()
  template.hashKeySerializer = StringRedisSerializer()

  template.connectionFactory = redisConnectionFactory
  return template
 }

 //缓存管理器
 @Bean
 open fun cacheManager(redisConnectionFactory: RedisConnectionFactory): CacheManager {
  val builder = RedisCacheManager
    .RedisCacheManagerBuilder
    .fromConnectionFactory(redisConnectionFactory)
  return builder.build()
 }

}

这里也都需要使用open，理由同上。

1.4 创建 Service

创建一个 User 对象，使用 datat class 类型。

data class User(var userName:String,var password:String):Serializable

创建操作 User 的Service接口

import com.kotlin.tutorial.user.User

/**
 * Created by tony on 2018/11/13.
 */
interface IUserService {

 fun getUser(username: String): User

 fun createUser(username: String,password: String)
}

创建 Service 的实现类：

import com.kotlin.tutorial.user.User
import com.kotlin.tutorial.user.service.IUserService
import org.springframework.beans.factory.annotation.Autowired
import org.springframework.data.redis.core.RedisTemplate
import org.springframework.stereotype.Service


/**
 * Created by tony on 2018/11/13.
 */
@Service
class UserServiceImpl : IUserService {

 @Autowired
 lateinit var redisTemplate: RedisTemplate<Any, Any>

 override fun getUser(username: String): User {

  var user = redisTemplate.opsForValue().get("user_${username}")

  if (user == null) {

   user = User("default","000000")
   }

  return user as User
 }

 override fun createUser(username: String, password: String) {

  redisTemplate.opsForValue().set("user_${username}", User(username, password))
 }

}

1.5 创建 Controller

创建一个 UserController，包含 createUser、getUser 两个接口。

import com.kotlin.tutorial.user.User
import com.kotlin.tutorial.user.service.IUserService
import com.kotlin.tutorial.web.dto.HttpResponse

import org.springframework.beans.factory.annotation.Autowired
import org.springframework.web.bind.annotation.GetMapping
import org.springframework.web.bind.annotation.RequestMapping
import org.springframework.web.bind.annotation.RequestParam
import org.springframework.web.bind.annotation.RestController


/**
 * Created by tony on 2018/11/13.
 */
@RestController
@RequestMapping("/user")
class UserController {

 @Autowired
 lateinit var userService: IUserService

 @GetMapping("/getUser")
 fun getUser(@RequestParam("name") userName: String): HttpResponse<User> {

  return HttpResponse(userService.getUser(userName))
 }

 @GetMapping("/createUser")
 fun createUser(@RequestParam("name") userName: String,@RequestParam("password") password: String): HttpResponse<String> {

  userService.createUser(userName,password)

  return HttpResponse("create ${userName} success")
 }
}

创建完 Controller 之后，可以进行测试了。

创建用户tony：

查询用户tony：

创建用户monica：

查询用户monica：

示例二：结合 RxJava 模拟顺序、并发地执行任务

2.1 创建 MockTask

首先定义一个任务接口，所有的任务都需要实现该接口：

/**
 * Created by tony on 2018/11/13.
 */
interface ITask {

 fun execute()
}

再创建一个模拟的任务，其中delayInSeconds用来模拟任务所花费的时间，单位是秒。

import java.util.concurrent.TimeUnit
import com.kotlin.tutorial.task.ITask

/**
 * Created by tony on 2018/11/13.
 */
class MockTask(private val delayInSeconds: Int) : ITask {

 /**
  * Stores information if task was started.
  */
 var started: Boolean = false

 /**
  * Stores information if task was successfully finished.
  */
 var finishedSuccessfully: Boolean = false

 /**
  * Stores information if the task was interrupted.
  * It can happen if the thread that is running this task was killed.
  */
 var interrupted: Boolean = false

 /**
  * Stores the thread identifier in which the task was executed.
  */
 var threadId: Long = 0

 override fun execute() {
  try {
   this.threadId = Thread.currentThread().id
   this.started = true
   TimeUnit.SECONDS.sleep(delayInSeconds.toLong())
   this.finishedSuccessfully = true
  } catch (e: InterruptedException) {
   this.interrupted = true
  }

 }
}

2.2 创建 ConcurrentTasksExecutor

顺序执行的话比较简单，一个任务接着一个任务地完成即可，是单线程的操作。

对于并发而言，在这里借助 RxJava 的 merge 操作符来将多个任务进行合并。还用到了 RxJava 的任务调度器 Scheduler，createScheduler()是按照所需的线程数来创建Scheduler的。

import com.kotlin.tutorial.task.ITask
import io.reactivex.Completable
import io.reactivex.schedulers.Schedulers
import org.slf4j.LoggerFactory
import org.springframework.util.CollectionUtils
import java.util.*
import java.util.concurrent.Executors
import java.util.stream.Collectors


/**
 * Created by tony on 2018/11/13.
 */
class ConcurrentTasksExecutor(private val numberOfConcurrentThreads: Int, private val tasks: Collection<ITask>?) : ITask {

 val log = LoggerFactory.getLogger(this.javaClass)

 constructor(numberOfConcurrentThreads: Int, vararg tasks: ITask) : this(numberOfConcurrentThreads, if (tasks == null) null else Arrays.asList<ITask>(*tasks)) {}

 init {

  if (numberOfConcurrentThreads < 0) {
   throw RuntimeException("Amount of threads must be higher than zero.")
  }
 }

 /**
  * Converts collection of tasks (except null tasks) to collection of completable actions.
  * Each action will be executed in thread according to the scheduler created with [.createScheduler] method.
  *
  * @return list of completable actions
  */
 private val asConcurrentTasks: List<Completable>
  get() {

   if (tasks!=null) {

    val scheduler = createScheduler()

    return tasks.stream()
      .filter { task -> task != null }
      .map { task ->
       Completable
         .fromAction {
          task.execute()
         }
         .subscribeOn(scheduler)
      }
      .collect(Collectors.toList())
   } else {

    return ArrayList<Completable>()
   }
  }

 /**
  * Checks whether tasks collection is empty.
  *
  * @return true if tasks collection is null or empty, false otherwise
  */
 private val isTasksCollectionEmpty: Boolean
  get() = CollectionUtils.isEmpty(tasks)


 /**
  * Executes all tasks concurrent way only if collection of tasks is not empty.
  * Method completes when all of the tasks complete (or one of them fails).
  * If one of the tasks failed the the exception will be rethrown so that it can be handled by mechanism that calls this method.
  */
 override fun execute() {

  if (isTasksCollectionEmpty) {
   log.warn("There are no tasks to be executed.")
   return
  }

  log.debug("Executing #{} tasks concurrent way.", tasks?.size)
  Completable.merge(asConcurrentTasks).blockingAwait()
 }

 /**
  * Creates a scheduler that will be used for executing tasks concurrent way.
  * Scheduler will use number of threads defined in [.numberOfConcurrentThreads]
  *
  * @return scheduler
  */
 private fun createScheduler() = Schedulers.from(Executors.newFixedThreadPool(numberOfConcurrentThreads))
}

2.3 创建 Controller

创建一个 TasksController，包含 sequential、concurrent 两个接口，会分别把sequential 和 concurrent 执行任务的时间展示出来。

import com.kotlin.tutorial.task.impl.ConcurrentTasksExecutor
import com.kotlin.tutorial.task.impl.MockTask
import com.kotlin.tutorial.web.dto.TaskResponse
import com.kotlin.tutorial.web.dto.ErrorResponse
import com.kotlin.tutorial.web.dto.HttpResponse
import org.springframework.http.HttpStatus
import org.springframework.util.StopWatch
import org.springframework.web.bind.annotation.*
import java.util.stream.Collectors
import java.util.stream.IntStream

/**
 * Created by tony on 2018/11/13.
 */
@RestController
@RequestMapping("/tasks")
class TasksController {

 @GetMapping("/sequential")
 fun sequential(@RequestParam("task") taskDelaysInSeconds: IntArray): HttpResponse<TaskResponse> {

  val watch = StopWatch()
  watch.start()

  IntStream.of(*taskDelaysInSeconds)
    .mapToObj{
     MockTask(it)
    }
    .forEach{
     it.execute()
    }

  watch.stop()
  return HttpResponse(TaskResponse(watch.totalTimeSeconds))
 }

 @GetMapping("/concurrent")
 fun concurrent(@RequestParam("task") taskDelaysInSeconds: IntArray, @RequestParam("threads",required = false,defaultValue = "1") numberOfConcurrentThreads: Int): HttpResponse<TaskResponse> {

  val watch = StopWatch()
  watch.start()

  val delayedTasks = IntStream.of(*taskDelaysInSeconds)
    .mapToObj{
     MockTask(it)
    }
    .collect(Collectors.toList())

  ConcurrentTasksExecutor(numberOfConcurrentThreads, delayedTasks).execute()

  watch.stop()
  return HttpResponse(TaskResponse(watch.totalTimeSeconds))
 }

 @ExceptionHandler(IllegalArgumentException::class)
 @ResponseStatus(HttpStatus.BAD_REQUEST)
 fun handleException(e: IllegalArgumentException) = ErrorResponse(e.message)
}

顺序地执行多个任务：http://localhost:8080/tasks/sequential?task=1&task=2&task=3&task=4

每个任务所花费的时间分别是1秒、2秒、3秒和4秒。最后，一共花费了10.009秒。

两个线程并发地执行多个任务：http://localhost:8080/tasks/concurrent?task=1&task=2&task=3&task=4&threads=2

三个线程并发地执行多个任务：http://localhost:8080/tasks/concurrent?task=1&task=2&task=3&task=4&threads=3

总结

本文使用了 Kotlin 的特性跟 Spring Boot 整合进行后端开发。Kotlin 的很多语法糖使得开发变得更加便利，当然 Kotlin 也是 Java 的必要补充。

本文 demo 的 github 地址：https://github.com/fengzhizi715/kotlin-spring-demo

好了，以上就是这篇文章的全部内容了，希望本文的内容对大家的学习或者工作具有一定的参考学习价值，如果有疑问大家可以留言交流，谢谢大家对脚本之家的支持。

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