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利用Kotlin + Spring Boot实现后端开发

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。

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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测试数据mons:commons-pool2:${libs测试数据mons_pool2}"

implementation "com.alibaba:fastjson:${libs.fastjson}"

}

 

compilekotlin {

kotlinoptions.jvmtarget = "1.8"

}

compiletestkotlin {

kotlinoptions.jvmtarget = "1.8"

}

1.2 创建 springkotlinapplication:

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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

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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。

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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

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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。

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data class user(var username:string,var password:string):serializable

创建操作 user 的service接口

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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:

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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。

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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:

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/**

  * 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。

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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。

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import com.kotlin.tutorial.task.itask

import io.reactivex测试数据pletable

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。

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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测试数据/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,谢谢大家对的支持。

原文链接:https://juejin.im/post/5bebb4436fb9a04a072feb74

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