java定时任务quartz框架介绍

什么是Quartz?

Quartz是OpenSymphony开源组织在Job scheduling领域又一个开源项目，完全由Java开发，可以用来执行定时任务，类似于java.util.Timer。Quartz具有以下特点：

（1）强大的调度功能，例如支持丰富多样的调度方法，可以满足各种常规及特殊需求；

（2）灵活的应用方式，例如支持任务和调度的多种组合方式，支持调度数据的多种存储方式；

（3）分布式和集群能力，Terracotta收购后在原来功能基础上作了进一步提升。

Quartz 的基本结构

Quartz主要有三大组件：
Scheduler——任务调度器、Trigger——触发器、Job——任务。其中trigger和job是任务调度的元数据，scheduler是实际执行调度的控制器。

Trigger是用于定义调度时间的元素，即按照什么时间规则去执行任务。由TriggerBuilder创建,Quartz中主要提供了四种类型的trigger：SimpleTrigger，CronTirgger，DateIntervalTrigger，和NthIncludedDayTrigger。这四种trigger可以满足企业应用中的绝大部分需求。

Job用于表示被调度的任务。Scheduler调度任务时，不会直接调度job，而是会调度job的包装类JobDetail,由JobBuilder创建,一个job可以被多个trigger关联，但是一个trigger只能关联一个job。

Scheduler由scheduler工厂创建：DirectSchedulerFactory或者StdSchedulerFactory。第二种工厂StdSchedulerFactory使用较多，因为DirectSchedulerFactory使用起来不够方便，需要作许多详细的手工编码设置。Scheduler主要有两种：RemoteScheduler和StdScheduler。
　　元素关系图如下：
　　

Quartz单节点搭建（springboot）

引入pom依赖

 
      org.springframework.boot
      spring-boot-starter-quartz
    

job类 DateTimeJob

package com.example.quartz.job;

import java.text.SimpleDateFormat;
import java.util.Date;
import org.quartz.DisallowConcurrentExecution;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.quartz.PersistJobDataAfterExecution;
import org.springframework.scheduling.quartz.QuartzJobBean;

/**
 * @author yly
 * @date 2021/10/26
 */

@DisallowConcurrentExecution// 单任务串行执行，多任务并行执行
@PersistJobDataAfterExecution // jobDetail中的jobDataMap持久化
public class DateTimeJob extends QuartzJobBean {

  @Override
  protected void executeInternal(JobExecutionContext jobExecutionContext)
      throws JobExecutionException {
    // 获取JobDetail中关联的数据
    String msg = (String) jobExecutionContext.getJobDetail().getJobDataMap().get("msg");
    System.out.println(
        "task1 start 执行2s,线程id:"
            + Thread.currentThread().getId()
            + " time:"
            + new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()));
    try {
      Thread.sleep(2000);
    } catch (Exception e) {

    }
    System.out.println(
        "task1 end 执行2s,线程id:"
            + Thread.currentThread().getId()
            + " time:"
            + new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()));
  }
}

配置类 QuartzConfig(配置了JobDetail和trigger)

package com.example.quartz.config;

import com.example.quartz.job.DateTimeJob;
import org.quartz.CronScheduleBuilder;
import org.quartz.JobBuilder;
import org.quartz.JobDetail;
import org.quartz.Trigger;
import org.quartz.TriggerBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * @author yly
 * @date 2021/10/26
 */
@Configuration
public class QuartzConfig {
  @Bean
  public JobDetail printTimeJobDetail() {
    return JobBuilder.newJob(DateTimeJob.class) // PrintTimeJob我们的业务类
        .withIdentity("DateTimeJob") // 可以给该JobDetail起一个id
        // 每个JobDetail内都有一个Map，包含了关联到这个Job的数据，在Job类中可以通过context获取
        .usingJobData("msg", "Hello Quartz") // 关联键值对
        .storeDurably() // 即使没有Trigger关联时，也不需要删除该JobDetail
        .build();
  }

  @Bean
  public Trigger printTimeJobTrigger() {
    CronScheduleBuilder cronScheduleBuilder = CronScheduleBuilder.cronSchedule("0/1 * * * * ?");
    return TriggerBuilder.newTrigger()
        .forJob(printTimeJobDetail()) // 关联上述的JobDetail
        .withIdentity("quartzTaskService") // 给Trigger起个名字
        .withSchedule(cronScheduleBuilder)
        .build();
  }
}

运行效果

Quartz集群搭建

实际应用中，基本都是会使用分布式集群版的quartz。
Quartz中的trigger和job需要存储下来才能被使用。Quartz中有两种存储方式：RAMJobStore,JobStoreSupport，其中RAMJobStore是将trigger和job存储在内存中，而JobStoreSupport是基于jdbc将trigger和job存储到数据库中。RAMJobStore的存取速度非常快，但是由于其在系统被停止后所有的数据都会丢失，所以在集群应用中，必须使用JobStoreSupport。

Quartz 集群架构

一个Quartz集群中的每个节点是一个独立的Quartz应用，它又管理着其他的节点。这就意味着你必须对每个节点分别启动或停止。Quartz集群中，独立的Quartz节点并不与另一其的节点或是管理节点通信，而是通过相同的数据库表来感知到另一Quartz应用的。如下所示：

Quartz集群相关数据库表

因为Quartz集群依赖于数据库，所以必须首先创建Quartz数据库表，Quartz发布包中包括了所有被支持的数据库平台的SQL脚本。这些SQL脚本存放于/docs/dbTables 目录下。
如下：

#  
# In your Quartz properties file, you'll need to set   
# org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.StdJDBCDelegate  
#  
#  
# By: Ron Cordell - roncordell  
#  I didn't see this anywhere, so I thought I'd post it here. This is the script from Quartz to create the tables in a MySQL database, modified to use INNODB instead of MYISAM.  

DROP TABLE IF EXISTS QRTZ_FIRED_TRIGGERS;  
DROP TABLE IF EXISTS QRTZ_PAUSED_TRIGGER_GRPS;  
DROP TABLE IF EXISTS QRTZ_SCHEDULER_STATE;  
DROP TABLE IF EXISTS QRTZ_LOCKS;  
DROP TABLE IF EXISTS QRTZ_SIMPLE_TRIGGERS;  
DROP TABLE IF EXISTS QRTZ_SIMPROP_TRIGGERS;  
DROP TABLE IF EXISTS QRTZ_CRON_TRIGGERS;  
DROP TABLE IF EXISTS QRTZ_BLOB_TRIGGERS;  
DROP TABLE IF EXISTS QRTZ_TRIGGERS;  
DROP TABLE IF EXISTS QRTZ_JOB_DETAILS;  
DROP TABLE IF EXISTS QRTZ_CALENDARS;  

CREATE TABLE QRTZ_JOB_DETAILS(  
SCHED_NAME VARCHAR(120) NOT NULL,  
JOB_NAME VARCHAR(200) NOT NULL,  
JOB_GROUP VARCHAR(200) NOT NULL,  
DESCRIPTION VARCHAR(250) NULL,  
JOB_CLASS_NAME VARCHAR(250) NOT NULL,  
IS_DURABLE VARCHAR(1) NOT NULL,  
IS_NONCONCURRENT VARCHAR(1) NOT NULL,  
IS_UPDATE_DATA VARCHAR(1) NOT NULL,  
REQUESTS_RECOVERY VARCHAR(1) NOT NULL,  
JOB_DATA BLOB NULL,  
PRIMARY KEY (SCHED_NAME,JOB_NAME,JOB_GROUP))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_TRIGGERS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
TRIGGER_NAME VARCHAR(200) NOT NULL,  
TRIGGER_GROUP VARCHAR(200) NOT NULL,  
JOB_NAME VARCHAR(200) NOT NULL,  
JOB_GROUP VARCHAR(200) NOT NULL,  
DESCRIPTION VARCHAR(250) NULL,  
NEXT_FIRE_TIME BIGINT(13) NULL,  
PREV_FIRE_TIME BIGINT(13) NULL,  
PRIORITY INTEGER NULL,  
TRIGGER_STATE VARCHAR(16) NOT NULL,  
TRIGGER_TYPE VARCHAR(8) NOT NULL,  
START_TIME BIGINT(13) NOT NULL,  
END_TIME BIGINT(13) NULL,  
CALENDAR_NAME VARCHAR(200) NULL,  
MISFIRE_INSTR SMALLINT(2) NULL,  
JOB_DATA BLOB NULL,  
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),  
FOREIGN KEY (SCHED_NAME,JOB_NAME,JOB_GROUP)  
REFERENCES QRTZ_JOB_DETAILS(SCHED_NAME,JOB_NAME,JOB_GROUP))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_SIMPLE_TRIGGERS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
TRIGGER_NAME VARCHAR(200) NOT NULL,  
TRIGGER_GROUP VARCHAR(200) NOT NULL,  
REPEAT_COUNT BIGINT(7) NOT NULL,  
REPEAT_INTERVAL BIGINT(12) NOT NULL,  
TIMES_TRIGGERED BIGINT(10) NOT NULL,  
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),  
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)  
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_CRON_TRIGGERS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
TRIGGER_NAME VARCHAR(200) NOT NULL,  
TRIGGER_GROUP VARCHAR(200) NOT NULL,  
CRON_EXPRESSION VARCHAR(120) NOT NULL,  
TIME_ZONE_ID VARCHAR(80),  
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),  
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)  
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_SIMPROP_TRIGGERS  
  (            
    SCHED_NAME VARCHAR(120) NOT NULL,  
    TRIGGER_NAME VARCHAR(200) NOT NULL,  
    TRIGGER_GROUP VARCHAR(200) NOT NULL,  
    STR_PROP_1 VARCHAR(512) NULL,  
    STR_PROP_2 VARCHAR(512) NULL,  
    STR_PROP_3 VARCHAR(512) NULL,  
    INT_PROP_1 INT NULL,  
    INT_PROP_2 INT NULL,  
    LONG_PROP_1 BIGINT NULL,  
    LONG_PROP_2 BIGINT NULL,  
    DEC_PROP_1 NUMERIC(13,4) NULL,  
    DEC_PROP_2 NUMERIC(13,4) NULL,  
    BOOL_PROP_1 VARCHAR(1) NULL,  
    BOOL_PROP_2 VARCHAR(1) NULL,  
    PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),  
    FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)   
    REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_BLOB_TRIGGERS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
TRIGGER_NAME VARCHAR(200) NOT NULL,  
TRIGGER_GROUP VARCHAR(200) NOT NULL,  
BLOB_DATA BLOB NULL,  
PRIMARY KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP),  
INDEX (SCHED_NAME,TRIGGER_NAME, TRIGGER_GROUP),  
FOREIGN KEY (SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP)  
REFERENCES QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_CALENDARS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
CALENDAR_NAME VARCHAR(200) NOT NULL,  
CALENDAR BLOB NOT NULL,  
PRIMARY KEY (SCHED_NAME,CALENDAR_NAME))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_PAUSED_TRIGGER_GRPS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
TRIGGER_GROUP VARCHAR(200) NOT NULL,  
PRIMARY KEY (SCHED_NAME,TRIGGER_GROUP))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_FIRED_TRIGGERS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
ENTRY_ID VARCHAR(95) NOT NULL,  
TRIGGER_NAME VARCHAR(200) NOT NULL,  
TRIGGER_GROUP VARCHAR(200) NOT NULL,  
INSTANCE_NAME VARCHAR(200) NOT NULL,  
FIRED_TIME BIGINT(13) NOT NULL,  
SCHED_TIME BIGINT(13) NOT NULL,  
PRIORITY INTEGER NOT NULL,  
STATE VARCHAR(16) NOT NULL,  
JOB_NAME VARCHAR(200) NULL,  
JOB_GROUP VARCHAR(200) NULL,  
IS_NONCONCURRENT VARCHAR(1) NULL,  
REQUESTS_RECOVERY VARCHAR(1) NULL,  
PRIMARY KEY (SCHED_NAME,ENTRY_ID))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_SCHEDULER_STATE (  
SCHED_NAME VARCHAR(120) NOT NULL,  
INSTANCE_NAME VARCHAR(200) NOT NULL,  
LAST_CHECKIN_TIME BIGINT(13) NOT NULL,  
CHECKIN_INTERVAL BIGINT(13) NOT NULL,  
PRIMARY KEY (SCHED_NAME,INSTANCE_NAME))  
ENGINE=InnoDB;  

CREATE TABLE QRTZ_LOCKS (  
SCHED_NAME VARCHAR(120) NOT NULL,  
LOCK_NAME VARCHAR(40) NOT NULL,  
PRIMARY KEY (SCHED_NAME,LOCK_NAME))  
ENGINE=InnoDB;  

CREATE INDEX IDX_QRTZ_J_REQ_RECOVERY ON QRTZ_JOB_DETAILS(SCHED_NAME,REQUESTS_RECOVERY);  
CREATE INDEX IDX_QRTZ_J_GRP ON QRTZ_JOB_DETAILS(SCHED_NAME,JOB_GROUP);  

CREATE INDEX IDX_QRTZ_T_J ON QRTZ_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP);  
CREATE INDEX IDX_QRTZ_T_JG ON QRTZ_TRIGGERS(SCHED_NAME,JOB_GROUP);  
CREATE INDEX IDX_QRTZ_T_C ON QRTZ_TRIGGERS(SCHED_NAME,CALENDAR_NAME);  
CREATE INDEX IDX_QRTZ_T_G ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP);  
CREATE INDEX IDX_QRTZ_T_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE);  
CREATE INDEX IDX_QRTZ_T_N_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP,TRIGGER_STATE);  
CREATE INDEX IDX_QRTZ_T_N_G_STATE ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_GROUP,TRIGGER_STATE);  
CREATE INDEX IDX_QRTZ_T_NEXT_FIRE_TIME ON QRTZ_TRIGGERS(SCHED_NAME,NEXT_FIRE_TIME);  
CREATE INDEX IDX_QRTZ_T_NFT_ST ON QRTZ_TRIGGERS(SCHED_NAME,TRIGGER_STATE,NEXT_FIRE_TIME);  
CREATE INDEX IDX_QRTZ_T_NFT_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME);  
CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_STATE);  
CREATE INDEX IDX_QRTZ_T_NFT_ST_MISFIRE_GRP ON QRTZ_TRIGGERS(SCHED_NAME,MISFIRE_INSTR,NEXT_FIRE_TIME,TRIGGER_GROUP,TRIGGER_STATE);  

CREATE INDEX IDX_QRTZ_FT_TRIG_INST_NAME ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME);  
CREATE INDEX IDX_QRTZ_FT_INST_JOB_REQ_RCVRY ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,INSTANCE_NAME,REQUESTS_RECOVERY);  
CREATE INDEX IDX_QRTZ_FT_J_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_NAME,JOB_GROUP);  
CREATE INDEX IDX_QRTZ_FT_JG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,JOB_GROUP);  
CREATE INDEX IDX_QRTZ_FT_T_G ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_NAME,TRIGGER_GROUP);  
CREATE INDEX IDX_QRTZ_FT_TG ON QRTZ_FIRED_TRIGGERS(SCHED_NAME,TRIGGER_GROUP);  

commit;   

Quartz Scheduler在集群中的启动流程

Quartz Scheduler自身是察觉不到被集群的，只有配置给Scheduler的JDBC JobStore才知道。当Quartz Scheduler启动时，它调用JobStore的schedulerStarted()方法，它告诉JobStore Scheduler已经启动了。schedulerStarted() 方法是在JobStoreSupport类中实现的。JobStoreSupport类会根据quartz.properties文件中的设置来确定Scheduler实例是否参与到集群中。假如配置了集群，一个新的ClusterManager类的实例就被创建、初始化并启动。ClusterManager是在JobStoreSupport类中的一个内嵌类，继承了java.lang.Thread，它会定期运行，并对Scheduler实例执行检入的功能。Scheduler也要查看是否有任何一个别的集群节点失败了。检入操作执行周期在quartz.properties中配置。

侦测失败的Scheduler节点

当一个Scheduler实例执行检入时，它会查看是否有其他的Scheduler实例在到达他们所预期的时间还未检入。这是通过检查SCHEDULER_STATE表中Scheduler记录在LAST_CHEDK_TIME列的值是否早于org.quartz.jobStore.clusterCheckinInterval来确定的。如果一个或多个节点到了预定时间还没有检入，那么运行中的Scheduler就假定它(们) 失败了。

demo搭建

引入pom依赖

        org.springframework.boot
        spring-boot-starter-parent
        2.0.1.RELEASE
    
    
        
            org.springframework.boot
            spring-boot-starter-web
        
        
            org.springframework.boot
            spring-boot-autoconfigure
        
        
            org.springframework.boot
            spring-boot-starter-quartz
        

        
        
            mysql
            mysql-connector-java
            8.0.26
        

        
        
            org.springframework.boot
            spring-boot-starter-data-jpa
        
    
   

属性文件 spring-quartz.properties

#============================================================================
# 配置JobStore
#============================================================================
# JobDataMaps是否都为String类型，默认false
org.quartz.jobStore.useProperties=false

# 表的前缀，默认QRTZ_
org.quartz.jobStore.tablePrefix = QRTZ_

# 是否加入集群
org.quartz.jobStore.isClustered = true

# 调度实例失效的检查时间间隔 ms
org.quartz.jobStore.clusterCheckinInterval = 5000

# 当设置为“true”时，此属性告诉Quartz 在非托管JDBC连接上调用setTransactionIsolation（Connection.TRANSACTION_READ_COMMITTED）。
org.quartz.jobStore.txIsolationLevelReadCommitted = true

# 数据保存方式为数据库持久化
org.quartz.jobStore.class = org.quartz.impl.jdbcjobstore.JobStoreTX

# 数据库代理类，一般org.quartz.impl.jdbcjobstore.StdJDBCDelegate可以满足大部分数据库
org.quartz.jobStore.driverDelegateClass = org.quartz.impl.jdbcjobstore.StdJDBCDelegate

#============================================================================
# Scheduler 调度器属性配置
#============================================================================
# 调度标识名 集群中每一个实例都必须使用相同的名称
org.quartz.scheduler.instanceName = ClusterQuartz
# ID设置为自动获取 每一个必须不同
org.quartz.scheduler.instanceId= AUTO

#============================================================================
# 配置ThreadPool
#============================================================================
# 线程池的实现类（一般使用SimpleThreadPool即可满足几乎所有用户的需求）
org.quartz.threadPool.class=org.quartz.simpl.SimpleThreadPool

# 指定线程数，一般设置为1-100直接的整数，根据系统资源配置
org.quartz.threadPool.threadCount = 5

# 设置线程的优先级(可以是Thread.MIN_PRIORITY（即1）和Thread.MAX_PRIORITY（这是10）之间的任何int 。默认值为Thread.NORM_PRIORITY（5）。)
org.quartz.threadPool.threadPriority = 5

配置文件application.properties

server.context-path=/quartz-cluster2
#\u7AEF\u53E3\u53F7
server.port=8083
# \u6570\u636E\u6E90\u914D\u7F6E
spring.datasource.url=jdbc:mysql://localhost:3306/study?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=UTC

spring.datasource.username=root
spring.datasource.password=root
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
spring.datasource.max-active=1000
spring.datasource.max-idle=20
spring.datasource.min-idle=5
spring.datasource.initial-size=10

job 类QuartzJob

package com.example.bootquartz;

import org.quartz.DisallowConcurrentExecution;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.quartz.PersistJobDataAfterExecution;
import org.springframework.scheduling.quartz.QuartzJobBean;

import java.util.Date;

@PersistJobDataAfterExecution
@DisallowConcurrentExecution
public class QuartzJob extends QuartzJobBean {
    @Override
    protected void executeInternal(JobExecutionContext context) throws JobExecutionException {
        try {
            Thread.sleep(2000);
            System.out.println(context.getScheduler().getSchedulerInstanceId());

            System.out.println("taskname="+context.getJobDetail().getKey().getName());
            System.out.println("执行时间="+new Date());
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

调度器 SchedulerConfig

package com.example.bootquartz;

import org.quartz.Scheduler;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.config.PropertiesFactoryBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.ClassPathResource;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import org.springframework.scheduling.quartz.SchedulerFactoryBean;

import javax.sql.DataSource;
import java.io.IOException;
import java.util.Properties;
import java.util.concurrent.Executor;

@Configuration
public class SchedulerConfig {

    @Autowired
    private DataSource dataSource;

    @Bean
    public Scheduler scheduler() throws IOException {
        return schedulerFactoryBean().getScheduler();
    }

    @Bean
    public SchedulerFactoryBean schedulerFactoryBean() throws IOException {
        SchedulerFactoryBean factory = new SchedulerFactoryBean();
        factory.setSchedulerName("cluster_scheduler");
        factory.setDataSource(dataSource);
        factory.setApplicationContextSchedulerContextKey("application");
        factory.setQuartzProperties(quartzProperties());
        factory.setTaskExecutor(schedulerThreadPool());
        factory.setStartupDelay(0);
        return factory;

    }

    @Bean
    public Properties quartzProperties() throws IOException {
        PropertiesFactoryBean propertiesFactoryBean = new PropertiesFactoryBean();
        propertiesFactoryBean.setLocation(new ClassPathResource("/spring-quartz.properties"));
        propertiesFactoryBean.afterPropertiesSet();
        return propertiesFactoryBean.getObject();
    }

    @Bean
    public Executor schedulerThreadPool(){
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(Runtime.getRuntime().availableProcessors());
        executor.setMaxPoolSize(Runtime.getRuntime().availableProcessors());
        executor.setQueueCapacity(Runtime.getRuntime().availableProcessors());
        return executor;
    }
}

监听器 StartApplicationListener

package com.example.bootquartz;

import org.quartz.*;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.ApplicationListener;
import org.springframework.context.event.ContextRefreshedEvent;
import org.springframework.stereotype.Component;

@Component
public class StartApplicationListener implements ApplicationListener {

    @Autowired
    private Scheduler scheduler;

    @Override
    public void onApplicationEvent(ContextRefreshedEvent event) {

        try {
            TriggerKey triggerKey = TriggerKey.triggerKey("trigger1","group1");
            Trigger trigger = scheduler.getTrigger(triggerKey);
            if(trigger == null){
                trigger = TriggerBuilder.newTrigger()
                        .withIdentity(triggerKey)
                        .withSchedule(CronScheduleBuilder.cronSchedule("0/10 * * * * ?"))
                        .startNow()
                        .build();
                JobDetail jobDetail = JobBuilder.newJob(QuartzJob.class)
                        .withIdentity("job1","group1")
                        .build();
                scheduler.scheduleJob(jobDetail,trigger);



            }
            TriggerKey triggerKey2 = TriggerKey.triggerKey("trigger2","group2");
            Trigger trigger2 = scheduler.getTrigger(triggerKey2);
            if(trigger2 == null) {
                trigger2 = TriggerBuilder.newTrigger()
                        .withIdentity(triggerKey2)
                        .withSchedule(CronScheduleBuilder.cronSchedule("0/10 * * * * ?"))
                        .startNow()
                        .build();
                JobDetail jobDetail2 = JobBuilder.newJob(QuartzJob.class)
                        .withIdentity("job2", "group2")
                        .build();
                scheduler.scheduleJob(jobDetail2, trigger2);
            }
                scheduler.start();
        } catch (SchedulerException e) {
            e.printStackTrace();
        }
    }
}

效果：

数据库表数据：