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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