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SpringBoot集成ShedLock实现分布式定时任务流程详解

目录
  • 一、背景
  • 二、ShedLock是什么
  • 三、落地实现
    • 3.1 引入依赖包
    • 3.2 配置数据库连接信息
    • 3.3 创建mysql数据表
    • 3.4 配置LockProvider
    • 3.5 创建定时Job
  • 四、结果分析

    一、背景

    在项目服务是集群部署的时候,代码在每个人都会有定时任务,但是如果让每个节点都去跑定时任务是不大合适的。SpringBoot 中的 ShedLock 可以很好解决这个问题,下面我将为大家详细介绍 SpringBoot 如何集成 ShedLock,而 ShedLock 又是如何实现分布式定时的。

    二、ShedLock是什么

    官方地址

    以下是ShedLock锁提供者,通过外部存储实现锁,由下图可知外部存储集成的库还是很丰富:

    SpringBoot集成ShedLock实现分布式定时任务流程详解

    本篇教程我们基于JdbcTemplate存储为例来使用ShedLock锁。

    三、落地实现

    3.1 引入依赖包

    shedlock所需依赖包:

    <!-- web工程依赖包 -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>net.Javacrumbs.shedlock</groupId>
        <artifactId>shedlock-spring</artifactId>
        <version>4.2.0</version>
    </dependency>
     <!--每个外部存储实例所需依赖包不一样,这里是jdbc-->
    <dependency>
        <groupId>net.javacrumbs.shedlock</groupId>
        <artifactId>shedlock-provider-jdbc-template</artifactId>
        <version>4.2.0</version>
    </dependency>
    <dependencypython>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-jdbc</artifactId>
    </dependency>
    <dependency>
        <groupId>mysql</groupId>
        <artifactId>mysql-connector-java</artifactId>
        <scophttp://www.devze.come>runtime</scope>
    </dependency>
    

    依赖包树形图:

    SpringBoot集成ShedLock实现分布式定时任务流程详解

    3.2 配置数据库连接信息

    server:

      port: 8105

    spring:

      datasource:

        url: jdbc:mysql://127.0.0.1:3306/testjdbc?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai

        username: root

        password: 123456

        driver-class-name: com.mysql.cj.jdbc.Driver

        type: com.mysql.cj.jdbc.MysqlDataSource

    3.3 创建Mysql数据表

    CREATE TABLE `shedlock` (
    	`name`  varchar(64) NOT NULL COMMENT 'name' ,
    	`lock_until`  timestamp(3) NULL DEFAULT NULL ,
    	`locked_at`  timestamp(3) NULL DEFAULT NULL ,
    	`locked_by`  varchar(255) NULL DEFAULT NULL ,
    	PRIMARY KEY (`name`)
    )
    ENGINE=InnoDB
    DEFAULT CHARACTER SET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci
    ROW_FORMAT=DYNAMIC
    ;

    3.4 配置LockProvider

    ShedLockConfig.java:

    import net.javacrumbs.shedlock.core.LockProvider;
    import net.javacrumbs.shedlock.provider.jdbctemplate.JdbcTemplateLockProvider;
    import org.springframework.context.annotation.Bean;
    import org.springframework.stereotype.Component;
    import javax.annotation.Resource;
    import javax.sql.DataSource;
    /**
     * @description: Shedlock集成Jdbc配置类
     */
    @Component
    public class ShedLockConfig {
        @Resource
        private DataSource dataSource;
        @Bean
        private LockProvider lockProvider() {
            return new JdbcTemplateLockProvider(dataSource);
        }
    }
    

    springboot主启动类MerakQuartzApplication:

    import net.javacrumbs.shedlock.spring.annotation.EnableSchedulerLock;
    import org.myBATis.spring.annotation.MapperScan;
    import org.slf4j.Logger;
    import org.slf4j.LoggerFactory;
    import org.springframework.boot.SpringApplication;
    import org.springframework.boot.autoconfigure.SpringBootApplication;
    import org.springframework.boot.autoconfigure.security.servlet.SecurityAutoConfiguration;
    import org.springframework.context.annotation.Bean;
    import org.springframework.scheduling.annotation.EnableAsync;
    import org.springframework.scheduling.annotation.EnableScheduling;
    import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
    import org.springframework.scheduling.concurrent.ThreadPoolTaskScheduler;
    import java.util.concurrent.Executor;
    import java.util.concurrent.ThreadPoolExecutor;
    /**
     * @version 1.0
     * @ClassName: MerakQuartzApplication
     * @description: 工单任务调度
     */
    // 开启定时器
    @EnableScheduling
    // 开启定时任务锁,指定一个默认的锁的时间30秒
    @EnableSchedulerLock(defaultLockAtMostFor = "PT30S")
    @EnableAsync
    @MapperScan(basePaWuJzxEckages = {"com.merak.hyper.automation.persist.**.mapper"})
    @SpringBootApplication(scanBasePackages = {"com.merak.hyper.automation.**"}, exclude = {SecurityAutoConfiguration.class})
    public class MerakQuartzApplication {
        public static final Logger log = LoggerFactory.getLogger(MerakQuartzApplication.class);
        public static void main(String[] args) {
            SpringApplication.run(MerakQuartzApplication.class, args);
        }
        private injst taskSchedulerCorePoolSize = 15;
        private int awaitTerminationSeconds = 60;
        private String threadNamePrefix = "taskExecutor-";
        /**
         * @description: 实例化ThreadPoolTaskScheduler对象,用于创建ScheduledFuture<?> scheduledFuture
         */
        @Bean
        public ThreadPoolTaskScheduler threadPoolTaskScheduler() {
            ThreadPoolTaskScheduler taskScheduler = new ThreadPoolTaskScheduler();
            taskScheduler.setPoolSize(taskSchedulerCorePoolSize);
            taskScheduler.setThreadNamePrefix(threadNamePrefix);
            taskScheduler.setWaitForTasksToCompleteOnShutdown(false);
            taskScheduler.setAwaitTerminationSeconds(awaitTerminationSeconds);
            /**需要实例化线程*/
            taskScheduler.initialize();
    //        isinitialized = true;
            log.info("初始化ThreadPoolTaskScheduler ThreadNamePrefix=" + threadNamePrefix + ",PoolSize=" + taskSchedulerCorePoolSize
                    + ",awaitTerminationSeconds=" + awaitTerminationSeconds);
            return taskScheduler;
        }
        /**
         * @description: 实例化ThreadPoolTaskExecutor对象,管理线程
         */
        @Bean("asyncTaskExecutor")
        public Executor taskExecutor() {
            ThreadPoolTaskExecutor taskExecutor = new ThreadPoolTaskExecutor();
            taskExecutor.setCorePoolSize(5);
            taskExecutor.setMaxPoolSize(50);
            taskExecutor.setQueueCapacity(200);
            taskExecutor.setKeepAliveSeconds(60);
            taskExecutor.setThreadNamePrefix("asyncTaskExecutor-");
            taskExecutor.setWaitForTasksToCompleteOnShutdown(true);
            taskExecutor.setAwaitTerminationSeconds(60);
            //修改拒绝策略为使用当前线程执行
            taskExecutor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
            //初始化线程池
            taskExecutor.initialize();
            return taskExecutor;
        }
    }
    

    3.5 创建定时Job

    DigitalEmpTask:

    package com.merak.hyper.automation.quartz.task;
    import net.javacrumbs.shedlock.spring.annotation.SchedulerLock;
    import org.slf4j.Logger;
    import org.slf4j.LoggerFactory;
    imp开发者_Python学习ort org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.beans.factory.annotation.Value;
    import org.springframework.scheduling.annotation.Scheduled;
    import org.springframework.ste编程客栈reotype.Component;
    import java.util.List;
    /**
     * @version 1.0
     * @ClassName: BizOrderTask
     * @description: 任务队列服务调度
     */
    @Component
    public class DigitalEmpTask {
        public static final Logger log = LoggerFactory.getLogger(DigitalEmpTask.class);
        @Scheduled(cron = "0/30 * * * * ?")
        @SchedulerLock(name = "digitalEmpTaskScheduler", lockAtMostFor = "PT25S", lockAtLeastFor = "PT25S")
        protected void digitalEmpTaskScheduler() {
            log.info("云执行调度中心1:任务开始执行,时间:" + DateUtils.dateTimeNow(DateUtils.YYYY_MM_DD_HH_MM_SS));
            try { 
            } catch (Exception e) {
                log.error("云执行调度中心1调度失败,原因:" + e.getMessage());
            }  
        }
    }
    

    四、结果分析

    1.分别启动两个服务节点,配置如下:

    server:

      port: 12105

      servlet:

        context-path: /automation-quartz-one

    server:

      port: 12106

      servlet:

        context-path: /automation-quartz-two

    2.运行日志(片断)

    节点automation-quartz-one 运行日志:

    2023-02-22 12:01:00.143 [taskExecutor-1] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:01:00

    2023-02-22 12:05:00.114 [taskExecutor-3] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:05:00

    2023-02-22 12:05:30.122 [taskExecutor-6] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:05:30

    2023-02-22 12:19:30.110 [taskExecutor-3] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:19:30

    节点automation-quartz-two运行日志:

    2023-02-22 12:01:30.109 [taskExecutor-3] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:01:30

    2023-02-22 12:02:00.101 [taskExecutor-1] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:02:00

    2023-02-22 12:02:30.105 [taskExecutor-2] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:02:30

    2023-02-22 12:03:00.118 [taskExecutor-3] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:03:00

    2023-02-22 12:03:30.101 [taskExecutor-4] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:03:30

    2023-02-22 12:04:00.110 [taskExecutor-1] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:04:00

    2023-02-22 12:04:30.111 [taskExecutor-5] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:04:30

    2023-02-22 12:06:00.114 [taskExecutor-13] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:06:00

    2023-02-22 12:06:30.108 [taskExecutor-14] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:06:30

    2023-02-22 12:07:00.114 [taskExecutor-15] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:07:00

    2023-02-22 12:07:30.115 [taskExecutor-1] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:07:30

    2023-02-22 12:08:00.102 [taskExecutor-5] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:08:00

    2023-02-22 12:08:30.103 [taskExecutor-11] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:08:30

    2023-02-22 12:09:00.099 [taskExecutor-6] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:09:00

    2023-02-22 12:09:30.113 [taskExecutor-3] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:09:30

    2023-02-22 12:10:00.107 [taskExecutor-7] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:10:00

    2023-02-22 12:10:30.110 [taskExecutor-15] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:10:30

    2023-02-22 12:11:00.111 [taskExecutor-1] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:11:00

    2023-02-22 12:11:30.100 [taskExecutor-5] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:11:30

    2023-02-22 12:12:00.112 [taskExecutor-11] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:12:00

    2023-02-22 12:12:30.102 [taskExecutor-6] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:12:30

    2023-02-22 12:13:00.097 [taskExecutor-3] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:13:00

    2023-02-22 12:13:30.107 [taskExecutor-14] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:13:30

    2023-02-22 12:14:00.111 [taskExecutor-4] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:14:00

    2023-02-22 12:14:30.106 [taskExecutor-8] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:14:30

    2023-02-22 12:15:00.095 [taskExecutor-9] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:15:00

    2023-02-22 12:15:30.101 [taskExecutor-10] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:15:30

    2023-02-22 12:16:00.105 [taskExecutor-2] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:16:00

    2023-02-22 12:16:30.130 [taskExecutor-12] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:16:30

    2023-02-22 12:17:00.107 [taskExecutor-13] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:17:00

    2023-02-22 12:17:30.113 [taskExecutor-7] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:17:30

    2023-02-22 12:18:00.104 [taskExecutor-15] INFO <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:18:00

    2023-02-22 12:18:30.112 [taskExecutor-1] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:18:30

    2023-02-22 12:19:00.103 [taskExecutor-5] INFO  <DigitalEmpTask:46> - 云执行调度中心1:任务开始执行,时间:2023-02-22 12:19:00

    3、shedlock表记录信息:

    SpringBoot集成ShedLock实现分布式定时任务流程详解

    到此这篇关于SpringBoot集成ShedLock实现分布式定时任务流程详解的文章就介绍到这了,更多相关SpringBoot ShedLock内容请搜索我们以前的文章或继续浏览下面的相关文章希望大家以后多多支持我们!

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