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利用Kotlin+SpringBoot实现后端开发
前言
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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) { 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(private val clazz: Class ) : RedisSerializer { @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 {
val template = RedisTemplate()
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
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 {
return HttpResponse(userService.getUser(userName))
}
@GetMapping("/createUser")
fun createUser(@RequestParam("name") userName: String,@RequestParam("password") password: String): HttpResponse {
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 { val log = LoggerFactory.getLogger(this.javaClass) constructor(numberOfConcurrentThreads: Int, vararg tasks: ITask) : this(numberOfConcurrentThreads, if (tasks == null) null else Arrays.asList (*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 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 () } } /** * 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 {
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 {
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，谢谢大家对创新互联的支持。
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