PowerJob分布式任务调度源码流程解读
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
架构图
官方提供:
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!