【Java基础系列】Quartz学习总结

💝💝💝欢迎来到我的博客，很高兴能够在这里和您见面！希望您在这里可以感受到一份轻松愉快的氛围，不仅可以获得有趣的内容和知识，也可以畅所欲言、分享您的想法和见解。

• 推荐:kuan 的首页,持续学习,不断总结,共同进步,活到老学到老
• 导航

• 檀越剑指大厂系列:全面总结 java 核心技术点,如集合,jvm,并发编程 redis,kafka,Spring,微服务,Netty 等
• 常用开发工具系列:罗列常用的开发工具,如 IDEA,Mac,Alfred,electerm,Git,typora,apifox 等
• 数据库系列:详细总结了常用数据库 mysql 技术点,以及工作中遇到的 mysql 问题等
• 懒人运维系列:总结好用的命令,解放双手不香吗?能用一个命令完成绝不用两个操作
• 数据结构与算法系列:总结数据结构和算法,不同类型针对性训练,提升编程思维,剑指大厂

非常期待和您一起在这个小小的网络世界里共同探索、学习和成长。💝💝💝 ✨✨ 欢迎订阅本专栏 ✨✨

博客目录

• 一.概念例析快速入门

• 1.Job
• 2.JobDetail
• 3.Trigger
• 4.Calendar
• 5.Scheduler

• 二.CronTrigger 个性化

• 1.表达式
• 2.特殊字符
• 3.实例
• 4.添加方式

• 三.存储与持久化操作

• 1.内存存储 RAMJobStore
• 2.持久性 JobStore
• 3.测试

• 四.JobListener 配置类

• 1.JobListener
• 2.注册

• 五.TriggerListener 配置
• 六.schedulerListener 配置
• 七.开发配置

• 1.添加任务
• 2.监听器
• 3.执行器

一.概念例析快速入门

组件 Job、JobDetail、Trigger、Calendar、Scheduler

1.+版本 jar 包中，JobDetail 是个类，直接通过构造方法与 Job 类关联。SimpleTrigger 和 CornTrigger 是类；

在 2.+jar 包中，JobDetail 是个接口，SimpleTrigger 和 CornTrigger 是接口

1.Job

job 接口只有一个 execute(JobExcutionContext jec)方法,JobExcutionContext 提供了调度的上下文信息,比如,jobdetail 和 trigger,还可以添加业务信息

2.JobDetail

job 任务实例,有一个重要属性 jobDataMap,存放 job 运行的具体信息,创建实例的方法

JobDetail jobDetail = JobBuilder.newJob(jobClass).withIdentity(jobName, group(taskId)).build();
JobDataMap jobDataMap = jobDetail.getJobDataMap();
jobDataMap.put(DdlConstants.DDL_MUTABLE_GRAPH, ddlMutableGraphContext);
jobDataMap.put(DdlConstants.DDL_NODE, ddlMutableGraphContext.getNodeMap().get(t.getOutNodeKey()));
jobDataMap.put(DdlConstants.TASK_RECORD_DO, t);

3.Trigger

触发器,时间触发规则,主要有 2 个 SimpleTrigger 和 CronTrigger

• SimpleTrigger

• 只触发一次
• 固定时间间隔

• CronTrigger

• 通过 cron 表达式触发

SimpleTrigger simpleTrigger = TriggerBuilder
    .newTrigger()
    .withIdentity("trigger1")
    .forJob("job1", "jgroup1")//在这里绑定
    .withSchedule(SimpleScheduleBuilder.repeatSecondlyForTotalCount(10, 2))
    .startNow()
    .build();

4.Calendar

就是 java.util.Calendar 日期类,在 scheduler 中使用如下

//第一步：创建节假日类
 // ②四一愚人节
Calendar foolDay = new GregorianCalendar();    //这里的Calendar是 java.util.Calendar。根据当前时间所在的默认时区创建一个“日子”
foolDay.add(Calendar.MONTH, 4);
foolDay.add(Calendar.DATE, 1);
// ③国庆节
Calendar nationalDay = new GregorianCalendar();
nationalDay.add(Calendar.MONTH, 10);
nationalDay.add(Calendar.DATE, 1);

//第二步：创建AnnualCalendar,它的作用是排除排除每一年中指定的一天或多天
AnnualCalendar holidays = new AnnualCalendar();
//设置排除日期有两种方法
// 第一种：排除的日期，如果设置为false则为包含(included)
holidays.setDayExcluded(foolDay, true);
holidays.setDayExcluded(nationalDay, true);
//第二种，创建一个数组。
ArrayList<Calendar> calendars = new ArrayList<Calendar>();
calendars.add(foolDay);
calendars.add(nationalDay);
holidays.setDaysExcluded(calendars);

//第三步：将holidays添加进我们的触发器
simpleTrigger.setCalendarName("holidays");

//第四步：设置好然后需要在我们的scheduler中注册
scheduler.addCalendar("holidays",holidays, false,false);，注意这里的第一个参数为calendarName,需要和触发器中添加的Calendar名字像对应。

5.Scheduler

scheduler 是任务记录表,存储了 job 和 trigger 信息,job 和 trigger 都有组和名称,组和名称标识唯一性,一个 job 可以对应多个 trigger,一个 trigger 只能对应一个 job

SchedulerFactory schedulerFactory = new StdSchedulerFactory();
Scheduler scheduler = schedulerFactory.getScheduler();
//将jobDetail和Trigger注册到一个scheduler里，建立起两者的关联关系
scheduler.scheduleJob(jobDetail,Trigger);
scheduler.start();//开始任务调度

二.CronTrigger 个性化

1.表达式

位置	时间域名	允许值	允许的特殊字符
1	秒	0-59	,-*/
2	分支	0-59	,-*?/
3	小时	0-23	,-*/
4	日期	1-31	,-*/LWC
5	月份	1-12 或 JAN-DEC	,-*/
6	星期	1-7 或 SUN-SAT	,-*?/LC#
7	年（可选）	1970-2099	,-*/

2.特殊字符

• 星号(*) 表示每一时刻
• 问号(?) 表示无意义的值 只能用在日期和星期
• 减号(-) 表示范围 5-10 表示 5 到 10
• 逗号(,) 表示并列的有效值
• 斜杠(x/y) 表示等步长序列 x 为起始值,y 为增量步长值
• L 表示 last 日期和星期字段
• W 表示离给定日期最近的工作日
• LW 表示最后一个工作日
• 井号(#) 表示第几个星期几 6#3 表示第三个星期五
• C 表示只在日期和星期中使用,关联的日期 5C 5 号之后的第一天

3.实例

cron 表达式	含义
0 0 12 * * ?	每天 12 点整触发一次
0 15 10 ? * *	每天 10 点 15 分触发一次

4.添加方式

//使用cornTrigger规则  每天10点42分
Trigger trigger=TriggerBuilder.newTrigger().withIdentity("simpleTrigger", "triggerGroup")
    .withSchedule(CronScheduleBuilder.cronSchedule("0 42 10 * * ? *"))
    .startNow().build();

三.存储与持久化操作

1.内存存储 RAMJobStore

存储在内存,速度快,缺点重启会丢失

2.持久性 JobStore

将 JobDetail 等信息持久化我们的数据库

表名	描述
QRTZ_CALENDARS	以 Blob 类型存储 Quartz 的 Calendar 信息
QRTZ_CRON_TRIGGERS	存储 Cron Trigger，包括 Cron 表达式和时区信息
QRTZ_FIRED_TRIGGERS	存储与已触发的 Trigger 相关的状态信息，以及相联 Job 的执行信息
QRTZ_PAUSED_TRIGGER_GRPS	存储已暂停的 Trigger 组的信息
QRTZ_SCHEDULER_STATE	存储少量的有关 Scheduler 的状态信息，和别的 Scheduler 实例(假如是用于一个集群中)
QRTZ_LOCKS	存储程序的非观锁的信息(假如使用了悲观锁)
QRTZ_JOB_DETAILS	存储每一个已配置的 Job 的详细信息
QRTZ_JOB_LISTENERS	存储有关已配置的 JobListener 的信息
QRTZ_SIMPLE_TRIGGERS	存储简单的 Trigger，包括重复次数，间隔，以及已触的次数
QRTZ_BLOG_TRIGGERS	作为 Blob 类型存储(用于 Quartz 用户用 JDBC 创建他们自己定制的 Trigger 类型，JobStore 并不知道如何存储实例的时候)
QRTZ_TRIGGER_LISTENERS	存储已配置的 TriggerListener 的信息
QRTZ_TRIGGERS	存储已配置的 Trigger 的信息

3.测试

public class pickNewsJob implements Job {

    @Override
    public void execute(JobExecutionContext jec) throws JobExecutionException {
        SimpleDateFormat sdf = new SimpleDateFormat("HH:mm:ss");
        System.out.println("在"+sdf.format(new Date())+"扒取新闻");
    }

    public static void main(String args[]) throws SchedulerException {
        JobDetail jobDetail = JobBuilder.newJob(pickNewsJob.class)
                .withIdentity("job1", "jgroup1").build();
        SimpleTrigger simpleTrigger = TriggerBuilder
                .newTrigger()
                .withIdentity("trigger1")
                .withSchedule(SimpleScheduleBuilder.repeatSecondlyForTotalCount(10, 2))
                .startNow()
                .build();

        //创建scheduler
        SchedulerFactory schedulerFactory = new StdSchedulerFactory();
        Scheduler scheduler = schedulerFactory.getScheduler();
        scheduler.scheduleJob(jobDetail, simpleTrigger);
        scheduler.start();
    }
}

四.JobListener 配置类

1. 自定义监听器接口实现类
2. 向 scheduler 中注册监听器实现类

监听器类型主要分为三种，和 Quartz 三个核心类相对应：JobListener,TriggerListener,SchedulerListener

1.JobListener

我们的 jobListener 实现类必须实现其以下方法：

方法	说明
getName()	getName() 方法返回一个字符串用以说明 JobListener 的名称。对于注册为全局的监听器，getName() 主要用于记录日志，对于由特定 Job 引用的 JobListener，注册在 JobDetail 上的监听器名称必须匹配从监听器上 getName() 方法的返回值。
jobToBeExecuted()	Scheduler 在 JobDetail 将要被执行时调用这个方法。
jobExecutionVetoed()	Scheduler 在 JobDetail 即将被执行，但又被 TriggerListener 否决了时调用这个方法。
jobWasExecuted()	Scheduler 在 JobDetail 被执行之后调用这个方法。

2.注册

@Slf4j
@Component
public class ListenerConfig {

    @Autowired
    private Scheduler scheduler;
    @Autowired
    private DdlJobListener ddlJobListener;
    @Autowired
    private DdlSchedulerListener ddlSchedulerListener;

    @PostConstruct
    public void init() {
        try {
            scheduler.getListenerManager().addJobListener(ddlJobListener, GroupMatcher.groupStartsWith(GROUP_PREFIX));
            scheduler.getListenerManager().addSchedulerListener(ddlSchedulerListener);
        } catch (SchedulerException e) {
            log.error("", e);
        }
    }
}

五.TriggerListener 配置

public static void main(String args[]) throws SchedulerException {
    final JobDetail pickNewsJob = JobBuilder.newJob(PickNewsJob.class)
            .withIdentity("job1", "jgroup1").build();
    JobDetail getHottestJob = JobBuilder.newJob(GetHottestJob.class)
            .withIdentity("job2", "jgroup2").build();

    SimpleTrigger pickNewsTrigger = TriggerBuilder
            .newTrigger()
            .withIdentity("trigger1","tgroup1")
            .withSchedule(SimpleScheduleBuilder.repeatSecondlyForTotalCount(2, 1)).startNow()
            .build();
    SimpleTrigger getHottestTrigger = TriggerBuilder
            .newTrigger()
            .withIdentity("trigger2","tgroup2")
            .withSchedule(SimpleScheduleBuilder.repeatSecondlyForTotalCount(2, 2)).startNow()
            .build();

    Scheduler scheduler = new StdSchedulerFactory().getScheduler();
    JobListener myJobListener = new MyJobListener();
    KeyMatcher<JobKey> keyMatcher = KeyMatcher.keyEquals(pickNewsJob.getKey());
    scheduler.getListenerManager().addJobListener(myJobListener, keyMatcher);
    /********下面是新加部分***********/
    TriggerListener myTriggerListener = new MyTriggerListener();
    KeyMatcher<TriggerKey> tkeyMatcher = KeyMatcher.keyEquals(pickNewsTrigger.getKey());
    scheduler.getListenerManager().addTriggerListener(myTriggerListener, tkeyMatcher);

    scheduler.scheduleJob(pickNewsJob, pickNewsTrigger);
    scheduler.scheduleJob(getHottestJob,getHottestTrigger);
    scheduler.start();
}

六.schedulerListener 配置

SchedulerListener mySchedulerListener = new MySchedulerListener();
scheduler.getListenerManager().addSchedulerListener(mySchedulerListener);

七.开发配置

1.添加任务

public void run(Integer taskId, String outputNodeKey) {
        TaskDO taskDO = mapper.selectById(taskId);
        Optional.ofNullable(taskDO).orElseThrow(() -> new DdlException(ErrorCodeEnum.NOT_EXIST_TASK));
        DagConfDO one = dagConfService.getOne(new LambdaQueryWrapper<DagConfDO>().eq(DagConfDO::getTaskId, taskId)
                .orderByDesc(DagConfDO::getVersion).last("limit 1"));
        Class<? extends Job> jobClass = DdlJob.class;
        Date date = new Date();
        String jobkey = JOB_KEY_MARK + SPLIT_STR + ExecTypeEnum.MANUAL.name() + SPLIT_STR + taskId +
                SPLIT_STR + taskDO.getLastDagConfVersion() + SPLIT_STR + outputNodeKey + SPLIT_STR + date.getTime();
        String triggerKey = TRIGGER_KEY_MARK + SPLIT_STR + ExecTypeEnum.MANUAL.name() + SPLIT_STR + taskId +
                SPLIT_STR + taskDO.getLastDagConfVersion() + SPLIT_STR + outputNodeKey + SPLIT_STR + date.getTime();
        // 构建定时任务信息
        JobDetail jobDetail = JobBuilder.newJob(jobClass).withIdentity(jobkey, group(taskId)).build();
        JobDataMap jobDataMap = jobDetail.getJobDataMap();
        Trigger trigger = TriggerBuilder.newTrigger().withIdentity(triggerKey, group(taskId)).startNow().build();
        String conf = one.getConf();
        ObjectMapper mapper = new ObjectMapper();
        DagConf dagConf = null;
        try {
            dagConf = mapper.readValue(conf, DagConf.class);
        } catch (JsonProcessingException e) {
            log.error("", e);
        }
        DdlMutableGraphContext ddlMutableGraphContext = new DdlMutableGraphContext(dagConf);
        TaskRecordDO taskRecordDO = new TaskRecordDO();
        taskRecordDO.setTaskId(taskId);
        taskRecordDO.setExecStatus(ExecStatusEnum.PENDING.name().toLowerCase());
        taskRecordDO.setExecType(ExecTypeEnum.MANUAL.name().toLowerCase());
        taskRecordDO.setPlanRunTime(new Date());
        taskRecordDO.setDagConfVersion(taskDO.getLastDagConfVersion());
        taskRecordDO.setOutNodeKey(outputNodeKey);
        taskRecordDO.setOutNodeName(ddlMutableGraphContext.getNodeMap().get(outputNodeKey).getName());

        jobDataMap.put(DdlConstants.DDL_MUTABLE_GRAPH, ddlMutableGraphContext);
        jobDataMap.put(DdlConstants.DDL_NODE, ddlMutableGraphContext.getNodeMap().get(outputNodeKey));
        jobDataMap.put(DdlConstants.TASK_RECORD_DO, taskRecordDO);
        try {
            scheduler.scheduleJob(jobDetail, trigger);
        } catch (SchedulerException e) {
            log.error("", e);
        }
    }

2.监听器

@Slf4j
@Component
public class ListenerConfig {

    @Autowired
    private Scheduler scheduler;
    @Autowired
    private DdlJobListener ddlJobListener;
    @Autowired
    private DdlSchedulerListener ddlSchedulerListener;

    @PostConstruct
    public void init() {
        try {
            scheduler.getListenerManager().addJobListener(ddlJobListener, GroupMatcher.groupStartsWith(GROUP_PREFIX));
            scheduler.getListenerManager().addSchedulerListener(ddlSchedulerListener);
        } catch (SchedulerException e) {
            log.error("", e);
        }
    }
}

package com.deepexi.datasense.ddl.operator.schedule;

import com.deepexi.datasense.ddl.operator.constants.DdlConstants;
import com.deepexi.datasense.ddl.operator.model.entity.TaskRecordDO;
import com.deepexi.datasense.ddl.operator.service.TaskRecordService;
import lombok.extern.slf4j.Slf4j;
import org.quartz.*;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

@Slf4j
@Component
public class DdlSchedulerListener implements SchedulerListener {

    @Autowired
    private TaskRecordService taskRecordService;


    @Override
    public void jobScheduled(Trigger trigger) {
        String jobName = trigger.getJobKey().getName();
        log.info("jobScheduled:" + jobName + " has been scheduled");
    }

    @Override
    public void jobUnscheduled(TriggerKey triggerKey) {
        log.info("jobUnscheduled:" + triggerKey + " is being unscheduled");
    }

    @Override
    public void triggerFinalized(Trigger trigger) {
        log.info("triggerFinalized:" + "Trigger is finished for " + trigger.getJobKey().getName());
    }

    @Override
    public void triggerPaused(TriggerKey triggerKey) {
        log.info("triggerPaused:" + triggerKey + " is being paused");
    }

    @Override
    public void triggersPaused(String triggerGroup) {
        log.info("triggersPaused:" + "trigger group " + triggerGroup + " is being paused");
    }

    @Override
    public void triggerResumed(TriggerKey triggerKey) {
        log.info("triggerResumed:" + triggerKey + " is being resumed");
    }

    @Override
    public void triggersResumed(String triggerGroup) {
        log.info("triggersResumed:" + "trigger group " + triggerGroup + " is being resumed");
    }

    /**
     * 任务加入到调度器中，就新建一条任务运行记录，状态为"待执行"
     * 任务完成后要把这条记录状态改成完成
     * 所以需要把任务运行记录存入到jobDataMap中，待任务完成的时候，好从jobDataMap中取出taskRecordDO
     * 改状态。
     * 所以需要有更新jobDataMap的操作。目前quartz是job-store-type=RAM模式，是支持更新jobDataMap操作
     * 假如将来job-store-type=jdbc，那么要检测是否支持更新jobDataMap操作
     *
     * @param jobDetail
     */
    @Override
    public void jobAdded(JobDetail jobDetail) {
        JobKey key = jobDetail.getKey();
        log.info("jobAdded:{} is added", key);
        if (key.toString().startsWith(DdlConstants.GROUP_PREFIX)) {
            JobDataMap jobDataMap = jobDetail.getJobDataMap();
            TaskRecordDO taskRecordDO = (TaskRecordDO) (jobDataMap.get(DdlConstants.TASK_RECORD_DO));
            taskRecordService.save(taskRecordDO);
            jobDataMap.put(DdlConstants.TASK_RECORD_DO, taskRecordDO);
        }
    }

    @Override
    public void jobDeleted(JobKey jobKey) {
        log.info("jobDeleted:" + jobKey + " is deleted");
    }

    @Override
    public void jobPaused(JobKey jobKey) {
        log.info("jobPaused:" + jobKey + " is paused");
    }

    @Override
    public void jobsPaused(String jobGroup) {
        log.info("jobsPaused:" + "job group " + jobGroup + " is paused");
    }

    @Override
    public void jobResumed(JobKey jobKey) {
        log.info("jobResumed:" + jobKey + " is resumed");
    }

    @Override
    public void jobsResumed(String jobGroup) {
        log.info("jobsResumed:" + "job group " + jobGroup + " is resumed");
    }

    @Override
    public void schedulerError(String msg, SchedulerException cause) {
        log.error(msg, cause.getUnderlyingException());
    }

    @Override
    public void schedulerInStandbyMode() {
        log.info("schedulerInStandbyMode:" + "scheduler is in standby mode");
    }

    @Override
    public void schedulerStarted() {
        log.info("schedulerStarted:" + "scheduler has been started");
    }

    @Override
    public void schedulerStarting() {
        log.info("schedulerStarting:" + "scheduler is being started");
    }

    @Override
    public void schedulerShutdown() {
        log.info("schedulerShutdown:" + "scheduler has been shutdown");
    }

    @Override
    public void schedulerShuttingdown() {
        log.info("schedulerShuttingdown:" + "scheduler is being shutdown");
    }

    @Override
    public void schedulingDataCleared() {
        log.info("schedulingDataCleared:" + "scheduler has cleared all data");
    }
}

package com.deepexi.datasense.ddl.operator.schedule;

import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
import com.deepexi.datasense.ddl.operator.constants.DdlConstants;
import com.deepexi.datasense.ddl.operator.enums.ExecStatusEnum;
import com.deepexi.datasense.ddl.operator.enums.ExecTypeEnum;
import com.deepexi.datasense.ddl.operator.model.entity.TaskDO;
import com.deepexi.datasense.ddl.operator.model.entity.TaskRecordDO;
import com.deepexi.datasense.ddl.operator.service.TaskRecordService;
import com.deepexi.datasense.ddl.operator.service.TaskService;
import lombok.extern.slf4j.Slf4j;
import org.quartz.JobDataMap;
import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.quartz.JobListener;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

import java.util.Date;
import java.util.Objects;

@Slf4j
@Component
public class DdlJobListener implements JobListener {

    @Autowired
    private TaskService taskService;
    @Autowired
    private TaskRecordService taskRecordService;


    @Override
    public String getName() {
        String name = getClass().getSimpleName();
        log.info("getName:" + " listener name is:" + name);
        return name;
    }

    /**
     * 任务开始执行时，有几件事要做
     * 1.改任务状态为执行中
     * 2.改任务记录状态为执行中
     *
     * @param context
     */
    @Override
    public void jobToBeExecuted(JobExecutionContext context) {
        String jobName = context.getJobDetail().getKey().getName();
        log.info("jobToBeExecuted:" + jobName + " is going to be executed");

        JobDataMap jobDataMap = context.getJobDetail().getJobDataMap();
        TaskRecordDO taskRecordDO = (TaskRecordDO) (jobDataMap.get(DdlConstants.TASK_RECORD_DO));
        Integer taskId = taskRecordDO.getTaskId();
        LambdaUpdateWrapper<TaskDO> updateWrapper = new LambdaUpdateWrapper<TaskDO>().eq(TaskDO::getId, taskId)
                .set(TaskDO::getLastRunTime, new Date())
                .set(TaskDO::getExecStatus, ExecStatusEnum.RUNNING.name().toLowerCase());

        LambdaUpdateWrapper<TaskRecordDO> updateTaskRecordWrapper = new LambdaUpdateWrapper<TaskRecordDO>()
                .eq(TaskRecordDO::getId, taskRecordDO.getId())
                .set(TaskRecordDO::getStartRunTime, new Date())
                .set(TaskRecordDO::getExecStatus, ExecStatusEnum.RUNNING.name().toLowerCase());
        taskRecordService.update(updateTaskRecordWrapper);

        taskService.update(new TaskDO(), updateWrapper);
    }

    @Override
    public void jobExecutionVetoed(JobExecutionContext context) {
        String jobName = context.getJobDetail().getKey().getName();
        log.info("jobExecutionVetoed:" + jobName + " was vetoed and not executed");
    }

    /**
     * 任务执行完成了有几件事情需要做
     * 1、更新任务状态为已完成
     * 2、更新任务记录状态为已完成
     * 3、创建下次需要执行的任务记录（假如任务类型为周期），其状态为待执行
     *
     * @param context
     * @param jobException
     */
    @Override
    public void jobWasExecuted(JobExecutionContext context, JobExecutionException jobException) {
        String jobName = context.getJobDetail().getKey().getName();
        JobDataMap jobDataMap = context.getJobDetail().getJobDataMap();

        TaskRecordDO taskRecordDO = (TaskRecordDO) (jobDataMap.get(DdlConstants.TASK_RECORD_DO));

        log.info("jobWasExecuted:" + jobName + " was executed");

        String execStatus = ExecStatusEnum.SUCCEED.name().toLowerCase();
        String stdoutLog = null;
        String stderrLog = null;
        String error = null;
        Object o = jobDataMap.get(DdlConstants.TASK_STATUS);
        if (Objects.nonNull(o)) {
            execStatus = String.valueOf(o);
            stderrLog = String.valueOf(jobDataMap.get(DdlConstants.EXEC_LOG));
            error = String.valueOf(jobDataMap.get(DdlConstants.EXEC_ERR));
        } else {
            stdoutLog = String.valueOf(jobDataMap.get(DdlConstants.EXEC_LOG));
        }

        //更新task
        Integer taskId = taskRecordDO.getTaskId();
        LambdaUpdateWrapper<TaskDO> updateWrapper = new LambdaUpdateWrapper<TaskDO>().eq(TaskDO::getId, taskId)
                .set(TaskDO::getLastRunTime, new Date())
                .set(TaskDO::getExecStatus, execStatus);
        //.set(TaskDO::getLastDagConfVersion, taskRecordDO.getDagConfVersion())
        taskService.update(new TaskDO(), updateWrapper);

        //更新TaskRecordDO
        LambdaUpdateWrapper<TaskRecordDO> updateTaskRecorWrapper = new LambdaUpdateWrapper<TaskRecordDO>()
                .eq(TaskRecordDO::getId, taskRecordDO.getId())
                .set(TaskRecordDO::getEndRunTime, new Date())
                .set(TaskRecordDO::getStdoutLog, stdoutLog)
                .set(TaskRecordDO::getStderrLog, stderrLog)
                .set(TaskRecordDO::getError, error)
                .set(TaskRecordDO::getExecStatus, execStatus);
        taskRecordService.update(updateTaskRecorWrapper);

        String execType = taskRecordDO.getExecType();
        if (ExecTypeEnum.CYCLE.name().equalsIgnoreCase(execType)) {
            //插入下一次执行记录
            Date nextFireTime = context.getTrigger().getNextFireTime();
            taskRecordDO.setPlanRunTime(nextFireTime);
            taskRecordDO.setId(null);
            taskRecordDO.setTimes(taskRecordDO.getTimes() + 1);
            taskRecordDO.setExecStatus(ExecStatusEnum.PENDING.name().toLowerCase());
            taskRecordService.save(taskRecordDO);
            jobDataMap.put(DdlConstants.TASK_RECORD_DO, taskRecordDO);
        }
    }
}

3.执行器

@Slf4j
public class DdlJob extends QuartzJobBean {

    @Override
    protected void executeInternal(JobExecutionContext jobExecutionContext) {
        JobDataMap jobDataMap = jobExecutionContext.getJobDetail().getJobDataMap();
        DdlMutableGraphContext ddlMutableGraphContext = (DdlMutableGraphContext) (jobDataMap.get(DdlConstants.DDL_MUTABLE_GRAPH));
        StringBuilder sb = ddlMutableGraphContext.getSb();
        try {
            DdlNode ddlNode = (DdlNode) (jobDataMap.get(DdlConstants.DDL_NODE));
            new DdlExecution(ddlMutableGraphContext, ddlNode).execution();
        } catch (Exception e) {
            jobDataMap.put(DdlConstants.TASK_STATUS, ExecStatusEnum.FAILED.name().toLowerCase());
            sb.append(e);
            jobDataMap.put(DdlConstants.EXEC_ERR, e.toString());
            log.error("", e);
            throw new OperatorException("任务执行失败!", e);
        } finally {
            jobDataMap.put(DdlConstants.EXEC_LOG, sb.toString());
        }
    }
}

觉得有用的话点个赞 👍🏻 呗。

❤️❤️❤️本人水平有限，如有纰漏，欢迎各位大佬评论批评指正！😄😄😄

💘💘💘如果觉得这篇文对你有帮助的话，也请给个点赞、收藏下吧，非常感谢!👍 👍 👍

🔥🔥🔥Stay Hungry Stay Foolish 道阻且长,行则将至,让我们一起加油吧！🌙🌙🌙