PowerJob分布式任务调度源码流程解读
更新时间：2024年02月16日 09:46:25 作者：codecraft
这篇文章主要为大家介绍了PowerJob分布式任务调度源码流程解读,有需要的朋友可以借鉴参考下,希望能够有所帮助,祝大家多多进步,早日升职加薪
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本文主要研究一下PowerJob的任务调度
CoreScheduleTaskManager
tech/powerjob/server/core/scheduler/CoreScheduleTaskManager.java
@Service
@Slf4j
@RequiredArgsConstructor
public class CoreScheduleTaskManager implements InitializingBean, DisposableBean {
private final PowerScheduleService powerScheduleService;
private final InstanceStatusCheckService instanceStatusCheckService;
private final List<Thread> coreThreadContainer = new ArrayList<>();
@SuppressWarnings("AlibabaAvoidManuallyCreateThread")
@Override
public void afterPropertiesSet() {
// 定时调度
coreThreadContainer.add(new Thread(new LoopRunnable("ScheduleCronJob", PowerScheduleService.SCHEDULE_RATE, () -> powerScheduleService.scheduleNormalJob(TimeExpressionType.CRON)), "Thread-ScheduleCronJob"));
coreThreadContainer.add(new Thread(new LoopRunnable("ScheduleDailyTimeIntervalJob", PowerScheduleService.SCHEDULE_RATE, () -> powerScheduleService.scheduleNormalJob(TimeExpressionType.DAILY_TIME_INTERVAL)), "Thread-ScheduleDailyTimeIntervalJob"));
coreThreadContainer.add(new Thread(new LoopRunnable("ScheduleCronWorkflow", PowerScheduleService.SCHEDULE_RATE, powerScheduleService::scheduleCronWorkflow), "Thread-ScheduleCronWorkflow"));
coreThreadContainer.add(new Thread(new LoopRunnable("ScheduleFrequentJob", PowerScheduleService.SCHEDULE_RATE, powerScheduleService::scheduleFrequentJob), "Thread-ScheduleFrequentJob"));
// 数据清理
coreThreadContainer.add(new Thread(new LoopRunnable("CleanWorkerData", PowerScheduleService.SCHEDULE_RATE, powerScheduleService::cleanData), "Thread-CleanWorkerData"));
// 状态检查
coreThreadContainer.add(new Thread(new LoopRunnable("CheckRunningInstance", InstanceStatusCheckService.CHECK_INTERVAL, instanceStatusCheckService::checkRunningInstance), "Thread-CheckRunningInstance"));
coreThreadContainer.add(new Thread(new LoopRunnable("CheckWaitingDispatchInstance", InstanceStatusCheckService.CHECK_INTERVAL, instanceStatusCheckService::checkWaitingDispatchInstance), "Thread-CheckWaitingDispatchInstance"));
coreThreadContainer.add(new Thread(new LoopRunnable("CheckWaitingWorkerReceiveInstance", InstanceStatusCheckService.CHECK_INTERVAL, instanceStatusCheckService::checkWaitingWorkerReceiveInstance), "Thread-CheckWaitingWorkerReceiveInstance"));
coreThreadContainer.add(new Thread(new LoopRunnable("CheckWorkflowInstance", InstanceStatusCheckService.CHECK_INTERVAL, instanceStatusCheckService::checkWorkflowInstance), "Thread-CheckWorkflowInstance"));
coreThreadContainer.forEach(Thread::start);
}
//......
}CoreScheduleTaskManager在afterPropertiesSet的时候会启动一系列的线程，它们都是LoopRunnable类型的，分别调度powerScheduleService.scheduleNormalJob(TimeExpressionType.CRON)、powerScheduleService.scheduleNormalJob(TimeExpressionType.DAILY_TIME_INTERVAL)、powerScheduleService::scheduleCronWorkflow、powerScheduleService::scheduleFrequentJob、powerScheduleService::cleanData、instanceStatusCheckService::checkRunningInstance、instanceStatusCheckService::checkWaitingDispatchInstance、instanceStatusCheckService::checkWaitingWorkerReceiveInstance、instanceStatusCheckService::checkWorkflowInstance
LoopRunnable
@RequiredArgsConstructor
private static class LoopRunnable implements Runnable {
private final String taskName;
private final Long runningInterval;
private final Runnable innerRunnable;
@SuppressWarnings("BusyWait")
@Override
public void run() {
log.info("start task : {}.", taskName);
while (true) {
try {
innerRunnable.run();
Thread.sleep(runningInterval);
} catch (InterruptedException e) {
log.warn("[{}] task has been interrupted!", taskName, e);
break;
} catch (Exception e) {
log.error("[{}] task failed!", taskName, e);
}
}
}
}LoopRunnable的构造器接收taskName、runningInterval、innerRunnable三个参数，其run方法通过while true循环内部执行innerRunnable.run()，执行完sleep指定的runningInterval，若捕获到InterruptedException则break跳出循环，若其他异常则打印error日志
PowerScheduleService
PowerScheduleService主要提供了scheduleNormalJob、scheduleCronWorkflow、scheduleFrequentJob、cleanData方法
scheduleNormalJob
tech/powerjob/server/core/scheduler/PowerScheduleService.java
public void scheduleNormalJob(TimeExpressionType timeExpressionType) {
long start = System.currentTimeMillis();
// 调度 CRON 表达式 JOB
try {
final List<Long> allAppIds = appInfoRepository.listAppIdByCurrentServer(transportService.defaultProtocol().getAddress());
if (CollectionUtils.isEmpty(allAppIds)) {
log.info("[NormalScheduler] current server has no app's job to schedule.");
return;
}
scheduleNormalJob0(timeExpressionType, allAppIds);
} catch (Exception e) {
log.error("[NormalScheduler] schedule cron job failed.", e);
}
long cost = System.currentTimeMillis() - start;
log.info("[NormalScheduler] {} job schedule use {} ms.", timeExpressionType, cost);
if (cost > SCHEDULE_RATE) {
log.warn("[NormalScheduler] The database query is using too much time({}ms), please check if the database load is too high!", cost);
}
}scheduleNormalJob方法主要是查询当前server负责的appId列表，然后内部委托改为scheduleNormalJob0
scheduleNormalJob0
private void scheduleNormalJob0(TimeExpressionType timeExpressionType, List<Long> appIds) {
long nowTime = System.currentTimeMillis();
long timeThreshold = nowTime + 2 * SCHEDULE_RATE;
Lists.partition(appIds, MAX_APP_NUM).forEach(partAppIds -> {
try {
// 查询条件：任务开启 + 使用CRON表达调度时间 + 指定appId + 即将需要调度执行
List<JobInfoDO> jobInfos = jobInfoRepository.findByAppIdInAndStatusAndTimeExpressionTypeAndNextTriggerTimeLessThanEqual(partAppIds, SwitchableStatus.ENABLE.getV(), timeExpressionType.getV(), timeThreshold);
if (CollectionUtils.isEmpty(jobInfos)) {
return;
}
// 1. 批量写日志表
Map<Long, Long> jobId2InstanceId = Maps.newHashMap();
log.info("[NormalScheduler] These {} jobs will be scheduled: {}.", timeExpressionType.name(), jobInfos);
jobInfos.forEach(jobInfo -> {
Long instanceId = instanceService.create(jobInfo.getId(), jobInfo.getAppId(), jobInfo.getJobParams(), null, null, jobInfo.getNextTriggerTime()).getInstanceId();
jobId2InstanceId.put(jobInfo.getId(), instanceId);
});
instanceInfoRepository.flush();
// 2. 推入时间轮中等待调度执行
jobInfos.forEach(jobInfoDO -> {
Long instanceId = jobId2InstanceId.get(jobInfoDO.getId());
long targetTriggerTime = jobInfoDO.getNextTriggerTime();
long delay = 0;
if (targetTriggerTime < nowTime) {
log.warn("[Job-{}] schedule delay, expect: {}, current: {}", jobInfoDO.getId(), targetTriggerTime, System.currentTimeMillis());
} else {
delay = targetTriggerTime - nowTime;
}
InstanceTimeWheelService.schedule(instanceId, delay, () -> dispatchService.dispatch(jobInfoDO, instanceId, Optional.empty(), Optional.empty()));
});
// 3. 计算下一次调度时间（忽略5S内的重复执行，即CRON模式下最小的连续执行间隔为 SCHEDULE_RATE ms）
jobInfos.forEach(jobInfoDO -> {
try {
refreshJob(timeExpressionType, jobInfoDO);
} catch (Exception e) {
log.error("[Job-{}] refresh job failed.", jobInfoDO.getId(), e);
}
});
jobInfoRepository.flush();
} catch (Exception e) {
log.error("[NormalScheduler] schedule {} job failed.", timeExpressionType.name(), e);
}
});
}scheduleNormalJob0主要是调度CRON、DAILY_TIME_INTERVAL类型的任务，它通过jobInfoRepository查找指定appId、状态启用、指定TimeExpressionType，以及NextTriggerTime小于等于nowTime + 2 * SCHEDULE_RATE的任务，然后挨个执行instanceService.create创建任务实例，然后放入到InstanceTimeWheelService.schedule进行调度，最后计算和更新一下每个job的nextTriggerTime
scheduleCronWorkflow
public void scheduleCronWorkflow() {
long start = System.currentTimeMillis();
// 调度 CRON 表达式 WORKFLOW
try {
final List<Long> allAppIds = appInfoRepository.listAppIdByCurrentServer(transportService.defaultProtocol().getAddress());
if (CollectionUtils.isEmpty(allAppIds)) {
log.info("[CronWorkflowSchedule] current server has no app's workflow to schedule.");
return;
}
scheduleWorkflowCore(allAppIds);
} catch (Exception e) {
log.error("[CronWorkflowSchedule] schedule cron workflow failed.", e);
}
long cost = System.currentTimeMillis() - start;
log.info("[CronWorkflowSchedule] cron workflow schedule use {} ms.", cost);
if (cost > SCHEDULE_RATE) {
log.warn("[CronWorkflowSchedule] The database query is using too much time({}ms), please check if the database load is too high!", cost);
}
}scheduleCronWorkflow主要是调度CRON 表达式 WORKFLOW，内部委托给scheduleWorkflowCore
scheduleFrequentJob
public void scheduleFrequentJob() {
long start = System.currentTimeMillis();
// 调度 FIX_RATE/FIX_DELAY 表达式 JOB
try {
final List<Long> allAppIds = appInfoRepository.listAppIdByCurrentServer(transportService.defaultProtocol().getAddress());
if (CollectionUtils.isEmpty(allAppIds)) {
log.info("[FrequentJobSchedule] current server has no app's job to schedule.");
return;
}
scheduleFrequentJobCore(allAppIds);
} catch (Exception e) {
log.error("[FrequentJobSchedule] schedule frequent job failed.", e);
}
long cost = System.currentTimeMillis() - start;
log.info("[FrequentJobSchedule] frequent job schedule use {} ms.", cost);
if (cost > SCHEDULE_RATE) {
log.warn("[FrequentJobSchedule] The database query is using too much time({}ms), please check if the database load is too high!", cost);
}
}scheduleFrequentJob主要是调度FIX_RATE/FIX_DELAY 表达式 JOB，内部委托给了scheduleFrequentJobCore
scheduleFrequentJobCore
private void scheduleFrequentJobCore(List<Long> appIds) {
Lists.partition(appIds, MAX_APP_NUM).forEach(partAppIds -> {
try {
// 查询所有的秒级任务（只包含ID）
List<Long> jobIds = jobInfoRepository.findByAppIdInAndStatusAndTimeExpressionTypeIn(partAppIds, SwitchableStatus.ENABLE.getV(), TimeExpressionType.FREQUENT_TYPES);
if (CollectionUtils.isEmpty(jobIds)) {
return;
}
// 查询日志记录表中是否存在相关的任务
List<Long> runningJobIdList = instanceInfoRepository.findByJobIdInAndStatusIn(jobIds, InstanceStatus.GENERALIZED_RUNNING_STATUS);
Set<Long> runningJobIdSet = Sets.newHashSet(runningJobIdList);
List<Long> notRunningJobIds = Lists.newLinkedList();
jobIds.forEach(jobId -> {
if (!runningJobIdSet.contains(jobId)) {
notRunningJobIds.add(jobId);
}
});
if (CollectionUtils.isEmpty(notRunningJobIds)) {
return;
}
notRunningJobIds.forEach(jobId -> {
Optional<JobInfoDO> jobInfoOpt = jobInfoRepository.findById(jobId);
jobInfoOpt.ifPresent(jobInfoDO -> {
LifeCycle lifeCycle = LifeCycle.parse(jobInfoDO.getLifecycle());
// 生命周期已经结束
if (lifeCycle.getEnd() != null && lifeCycle.getEnd() < System.currentTimeMillis()) {
jobInfoDO.setStatus(SwitchableStatus.DISABLE.getV());
jobInfoDO.setGmtModified(new Date());
jobInfoRepository.saveAndFlush(jobInfoDO);
log.info("[FrequentScheduler] disable frequent job,id:{}.", jobInfoDO.getId());
} else if (lifeCycle.getStart() == null || lifeCycle.getStart() < System.currentTimeMillis() + SCHEDULE_RATE * 2) {
log.info("[FrequentScheduler] schedule frequent job,id:{}.", jobInfoDO.getId());
jobService.runJob(jobInfoDO.getAppId(), jobId, null, Optional.ofNullable(lifeCycle.getStart()).orElse(0L) - System.currentTimeMillis());
}
});
});
} catch (Exception e) {
log.error("[FrequentScheduler] schedule frequent job failed.", e);
}
});
}scheduleFrequentJobCore主要是调度秒级任务，它先找出秒级任务的id，然后过滤掉正在运行的任务，剩下的未运行的任务挨个判断是否需要调度，需要则执行jobService.runJob
cleanData
public void cleanData() {
try {
final List<Long> allAppIds = appInfoRepository.listAppIdByCurrentServer(transportService.defaultProtocol().getAddress());
if (allAppIds.isEmpty()) {
return;
}
WorkerClusterManagerService.clean(allAppIds);
} catch (Exception e) {
log.error("[CleanData] clean data failed.", e);
}
}cleanData主要是通过WorkerClusterManagerService.clean来维护当前server负责的appId缓存
InstanceStatusCheckService
InstanceStatusCheckService提供了checkRunningInstance、checkWaitingDispatchInstance、checkWaitingWorkerReceiveInstance、checkWorkflowInstance方法
小结
PowerJob的CoreScheduleTaskManager在afterPropertiesSet的时候会启动一系列的线程，它们都是LoopRunnable类型的，其中scheduleNormalJob主要是调度CRON、DAILY_TIME_INTERVAL类型的任务，scheduleCronWorkflow主要是调度CRON 表达式 WORKFLOW任务，scheduleFrequentJob主要是调度FIX_RATE/FIX_DELAY 表达式 JOB。
以上就是PowerJob分布式任务调度源码流程解读的详细内容，更多关于PowerJob分布式任务调度的资料请关注脚本之家其它相关文章！
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