SpringBoot集成ShedLock实现分布式定时任务流程详解
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:
本篇教程我们基于JdbcTemplate存储为例来使用ShedLock锁。
三、落地实现
1.1 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>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
依赖包树形图:
1.2 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
1.3 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
;
1.4 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;
@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;
// 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(basePackages = {"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 int taskSchedulerCorePoolSize = 15;
private int awaitTerminationSeconds = 60;
private String threadNamePrefix = "taskExecutor-";
@Bean
public ThreadPoolTaskScheduler threadPoolTaskScheduler() {
ThreadPoolTaskScheduler taskScheduler = new ThreadPoolTaskScheduler();
taskScheduler.setPoolSize(taskSchedulerCorePoolSize);
taskScheduler.setThreadNamePrefix(threadNamePrefix);
taskScheduler.setWaitForTasksToCompleteOnShutdown(false);
taskScheduler.setAwaitTerminationSeconds(awaitTerminationSeconds);
taskScheduler.initialize();
// isinitialized = true;
log.info("初始化ThreadPoolTaskScheduler ThreadNamePrefix=" + threadNamePrefix + ",PoolSize=" + taskSchedulerCorePoolSize
+ ",awaitTerminationSeconds=" + awaitTerminationSeconds);
return taskScheduler;
}
@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;
}
}
1.5 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;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import java.util.List;
@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-oneserver:
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:
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