前言
在Flink原理——容错机制一文中，已对checkpoint的机制有了较为基础的介绍，本文着重从源码方面去分析checkpoint的过程。当然本文只是分析做checkpoint的调度过程，只是尽量弄清楚整体的逻辑，没有弄清楚其实现细节，还是有遗憾的，后期还是努力去分析实现细节。文中若是有误，欢迎大伙留言指出！
本文基于Flink1.9。
1、参数设置
1.1 有关checkpoint常见的参数如下：
1 StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); 2 env.enableCheckpointing(10000); //默认是不开启的 3 env.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE); //默认为EXACTLY_ONCE 4 env.getCheckpointConfig().setMinPauseBetweenCheckpoints(5000); //默认为0，最大值为1年 5 env.getCheckpointConfig().setCheckpointTimeout(150000); //默认为10min 6 env.getCheckpointConfig().setMaxConcurrentCheckpoints(1); //默认为1
上述参数的默认值可见flink-streaming-java*.jar中的CheckpointConfig.java，配置值是通过该类中私有configureCheckpointing()的jobGraph.setSnapshotSettings(settings)传递给runtime层的，更多设置也可以参见该类。
1.2 参数分析
这里着重分析enableCheckpointing()设置的baseInterval和minPauseBetweenCheckpoint之间的关系。为分析两者的关系，这里先给出源码中定义
1 /** The base checkpoint interval. Actual trigger time may be affected by the 2 * max concurrent checkpoints and minimum-pause values */ 3 //checkpoint触发周期，时间触发时间还受maxConcurrentCheckpointAttempts和minPauseBetweenCheckpointsNanos影响 4 private final long baseInterval; 5 6 /** The min time(in ns) to delay after a checkpoint could be triggered. Allows to 7 * enforce minimum processing time between checkpoint attempts */ 8 //在可以触发checkpoint的时，两次checkpoint之间的时间间隔 9 private final long minPauseBetweenCheckpointsNanos;
当baseInterval<minPauseBetweenCheckpoint时，在CheckpointCoordinator.java源码中定义如下：
1 // it does not make sense to schedule checkpoints more often then the desired 2 // time between checkpoints 3 long baseInterval = chkConfig.getCheckpointInterval(); 4 if (baseInterval < minPauseBetweenCheckpoints) { 5 baseInterval = minPauseBetweenCheckpoints; 6 }
从此可以看出，checkpoint的触发虽然设置为周期性的，但是实际触发情况，还得考虑minPauseBetweenCheckpoint和maxConcurrentCheckpointAttempts，若maxConcurrentCheckpointAttempts为1，就算满足触发时间也需等待正在执行的checkpoint结束。
2、checkpoint调用过程
将JobGraph提交到Dispatcher后，会createJobManagerRunner和startJobManagerRunner，可以关注Dispatcher类中的createJobManagerRunner(...)方法。
2.1 createJobManagerRunner阶段
该阶段会创建一个JobManagerRunner实例，在该过程和checkpoint有关的是会启动listener去监听job的状态。
1 #JobManagerRunner.java 2 public JobManagerRunner(...) throws Exception { 3
4 //.......... 5
6 // make sure we cleanly shut down out JobManager services if initialization fails
7 try { 8 //.......... 9 //加载JobGraph、library、leader选举等 10
11 // now start the JobManager 12 //启动JobManager
13 this.jobMasterService = jobMasterFactory.createJobMasterService(jobGraph, this, userCodeLoader); 14 } 15 catch (Throwable t) { 16 //......
17 } 18 } 19
20 //在DefaultJobMasterServiceFactory类的createJobMasterService()中新建一个JobMaster对象 21 //#JobMaster.java
22 public JobMaster(...) throws Exception { 23
24 //........ 25 //该方法中主要做了参数检查，slotPool的创建、slotPool的schedul的创建等一系列的事情 26
27 //创建一个调度器
28 this.schedulerNG = createScheduler(jobManagerJobMetricGroup); 29 //......
30 }
在创建调度器中核心的语句如下：
1 //#LegacyScheduler.java中的LegacyScheduler() 2 //创建ExecutionGraph 3 this.executionGraph = createAndRestoreExecutionGraph(jobManagerJobMetricGroup, checkNotNull(shuffleMaster), checkNotNull(partitionTracker)); 4 5 6 private ExecutionGraph createAndRestoreExecutionGraph( 7 JobManagerJobMetricGroup currentJobManagerJobMetricGroup, 8 ShuffleMaster<?> shuffleMaster, 9 PartitionTracker partitionTracker) throws Exception { 10 11 12 ExecutionGraph newExecutionGraph = createExecutionGraph(currentJobManagerJobMetricGroup, shuffleMaster, partitionTracker); 13 14 final CheckpointCoordinator checkpointCoordinator = newExecutionGraph.getCheckpointCoordinator(); 15 16 if (checkpointCoordinator != null) { 17 // check whether we find a valid checkpoint 18 //若state没有被恢复是否可以通过savepoint恢复 19 //...... 20 } 21 } 22 23 return newExecutionGraph; 24 }
通过调用到达生成ExecutionGraph的核心类ExecutionGraphBuilder的在buildGraph()方法，其中该方法主要是生成ExecutionGraph和设置checkpoint，下面给出其中的核心代码：
1 //.............. 2 //生成ExecutionGraph的核心方法，这里后期会详细分析 3 executionGraph.attachJobGraph(sortedTopology); 4 5 //....................... 6 7 //在enableCheckpointing中设置CheckpointCoordinator 8 executionGraph.enableCheckpointing( 9 chkConfig, 10 triggerVertices, 11 ackVertices, 12 confirmVertices, 13 hooks, 14 checkpointIdCounter, 15 completedCheckpoints, 16 rootBackend, 17 checkpointStatsTracker);
在enableCheckpointing()方法中主要是创建了checkpoint失败是的manager、设置了checkpoint的核心类CheckpointCoordinator。
1 //#ExecutionGraph.java 2 public void enableCheckpointing( 3 CheckpointCoordinatorConfiguration chkConfig, 4 List<ExecutionJobVertex> verticesToTrigger, 5 List<ExecutionJobVertex> verticesToWaitFor, 6 List<ExecutionJobVertex> verticesToCommitTo, 7 List<MasterTriggerRestoreHook<?>> masterHooks, 8 CheckpointIDCounter checkpointIDCounter, 9 CompletedCheckpointStore checkpointStore, 10 StateBackend checkpointStateBackend, 11 CheckpointStatsTracker statsTracker) { 12 //Job的状态必须为Created， 13 checkState(state == JobStatus.CREATED, "Job must be in CREATED state"); 14 checkState(checkpointCoordinator == null, "checkpointing already enabled"); 15 //checkpointing的不同状态 16 ExecutionVertex[] tasksToTrigger = collectExecutionVertices(verticesToTrigger); 17 ExecutionVertex[] tasksToWaitFor = collectExecutionVertices(verticesToWaitFor); 18 ExecutionVertex[] tasksToCommitTo = collectExecutionVertices(verticesToCommitTo); 19 20 checkpointStatsTracker = checkNotNull(statsTracker, "CheckpointStatsTracker"); 21 //checkpoint失败manager，若是checkpoint失败会根据设置来决定下一步 22 CheckpointFailureManager failureManager = new CheckpointFailureManager( 23 chkConfig.getTolerableCheckpointFailureNumber(), 24 new CheckpointFailureManager.FailJobCallback() { 25 @Override 26 public void failJob(Throwable cause) { 27 getJobMasterMainThreadExecutor().execute(() -> failGlobal(cause)); 28 } 29 30 @Override 31 public void failJobDueToTaskFailure(Throwable cause, ExecutionAttemptID failingTask) { 32 getJobMasterMainThreadExecutor().execute(() -> failGlobalIfExecutionIsStillRunning(cause, failingTask)); 33 } 34 } 35 ); 36 37 // create the coordinator that triggers and commits checkpoints and holds the state 38 //checkpoint的核心类CheckpointCoordinator 39 checkpointCoordinator = new CheckpointCoordinator( 40 jobInformation.getJobId(), 41 chkConfig, 42 tasksToTrigger, 43 tasksToWaitFor, 44 tasksToCommitTo, 45 checkpointIDCounter, 46 checkpointStore, 47 checkpointStateBackend, 48 ioExecutor, 49 SharedStateRegistry.DEFAULT_FACTORY, 50 failureManager); 51 52 // register the master hooks on the checkpoint coordinator 53 for (MasterTriggerRestoreHook<?> hook : masterHooks) { 54 if (!checkpointCoordinator.addMasterHook(hook)) { 55 LOG.warn("Trying to register multiple checkpoint hooks with the name: {}", hook.getIdentifier()); 56 } 57 } 58 //checkpoint统计 59 checkpointCoordinator.setCheckpointStatsTracker(checkpointStatsTracker); 60 61 // interval of max long value indicates disable periodic checkpoint, 62 // the CheckpointActivatorDeactivator should be created only if the interval is not max value 63 //设置为Long.MAX_VALUE标识关闭周期性的checkpoint 64 if (chkConfig.getCheckpointInterval() != Long.MAX_VALUE) { 65 // the periodic checkpoint scheduler is activated and deactivated as a result of 66 // job status changes (running -> on, all other states -> off) 67 //只有在job的状态为running时，才会开启checkpoint的scheduler 68 //createActivatorDeactivator()创建一个listener监听器 69 //registerJobStatusListener()将listener加入监听器集合jobStatusListeners中 70 registerJobStatusListener(checkpointCoordinator.createActivatorDeactivator()); 71 } 72 } 73 74 75 //#CheckpointCoordinator.java 76 / ------------------------------------------------------------------------ 77 // job status listener that schedules / cancels periodic checkpoints 78 // ------------------------------------------------------------------------ 79 //创建一个listener监听器checkpointCoordinator.createActivatorDeactivator() 80 public JobStatusListener createActivatorDeactivator() { 81 synchronized (lock) { 82 if (shutdown) { 83 throw new IllegalArgumentException("Checkpoint coordinator is shut down"); 84 } 85 86 if (jobStatusListener == null) { 87 jobStatusListener = new CheckpointCoordinatorDeActivator(this); 88 } 89 90 return jobStatusListener; 91 } 92 }
至此，createJobManagerRunner阶段结束了，ExecutionGraph中checkpoint的配置就设置好了。
2.2 startJobManagerRunner阶段
在该阶段中，在获得leaderShip之后，就会启动startJobExecution，这里只给出调用涉及的类和方法：
1 //#JobManagerRunner.java类中 2 //grantLeadership(...)==>verifyJobSchedulingStatusAndStartJobManager(...) 3 //==>startJobMaster(...)，该方法中核心代码为 4 startFuture = jobMasterService.start(new JobMasterId(leaderSessionId)); 5 6 //进一步调用#JobMaster.java类中的start()==>startJobExecution(...)
startJobExecution()方法是JobMaster类中的私有方法，具体代码分析如下：
1 //---------------------------------------------------------------------------------------------- 2 // Internal methods 3 //---------------------------------------------------------------------------------------------- 4
5 //-- job starting and stopping -----------------------------------------------------------------
6
7 private Acknowledge startJobExecution(JobMasterId newJobMasterId) throws Exception { 8
9 validateRunsInMainThread(); 10
11 checkNotNull(newJobMasterId, "The new JobMasterId must not be null."); 12
13 if (Objects.equals(getFencingToken(), newJobMasterId)) { 14 log.info("Already started the job execution with JobMasterId {}.", newJobMasterId); 15
16 return Acknowledge.get(); 17 } 18
19 setNewFencingToken(newJobMasterId); 20 //启动slotPool并申请资源，该方法可以具体看看申请资源的过程
21 startJobMasterServices(); 22
23 log.info("Starting execution of job {} ({}) under job master id {}.", jobGraph.getName(), jobGraph.getJobID(), newJobMasterId); 24 //执行ExecuteGraph的切入口，先判断job的状态是否为created的，后调执行executionGraph.scheduleForExecution();
25 resetAndStartScheduler(); 26
27 return Acknowledge.get(); 28 }
在LegacyScheduler类中的方法scheduleForExecution()调度过程如下：
1 public void scheduleForExecution() throws JobException { 2 3 assertRunningInJobMasterMainThread(); 4 5 final long currentGlobalModVersion = globalModVersion; 6 //任务执行之前进行状态切换从CREATED到RUNNING， 7 //transitionState(...)方法中会通过notifyJobStatusChange(newState, error)通知jobStatusListeners集合中listeners状态改变 8 if (transitionState(JobStatus.CREATED, JobStatus.RUNNING)) { 9 //根据启动算子调度模式不同，采用不同的调度方案 10 final CompletableFuture<Void> newSchedulingFuture = SchedulingUtils.schedule( 11 scheduleMode, 12 getAllExecutionVertices(), 13 this); 14 15 //.............. 16 } 17 else { 18 throw new IllegalStateException("Job may only be scheduled from state " + JobStatus.CREATED); 19 } 20 } 21 22 private void notifyJobStatusChange(JobStatus newState, Throwable error) { 23 if (jobStatusListeners.size() > 0) { 24 final long timestamp = System.currentTimeMillis(); 25 final Throwable serializedError = error == null ? null : new SerializedThrowable(error); 26 27 for (JobStatusListener listener : jobStatusListeners) { 28 try { 29 listener.jobStatusChanges(getJobID(), newState, timestamp, serializedError); 30 } catch (Throwable t) { 31 LOG.warn("Error while notifying JobStatusListener", t); 32 } 33 } 34 } 35 } 36 37 38 //#CheckpointCoordinatorDeActivator.java 39 public void jobStatusChanges(JobID jobId, JobStatus newJobStatus, long timestamp, Throwable error) { 40 if (newJobStatus == JobStatus.RUNNING) { 41 // start the checkpoint scheduler 42 //触发checkpoint的核心方法 43 coordinator.startCheckpointScheduler(); 44 } else { 45 // anything else should stop the trigger for now 46 coordinator.stopCheckpointScheduler(); 47 } 48 }
下面具体分析触发checkpoint的核心方法startCheckpointScheduler()。
startCheckpointScheduler()方法结合注释还是比较好理解的，但由于方法太长这里就不全部贴出来了，先分析一下大致做什么了，然后给出其核心代码：
1）检查触发checkpoint的条件。如coordinator被关闭、周期性checkpoint被禁止、在没有开启强制checkpoint的情况下没有达到最小的checkpoint间隔以及超过并发的checkpoint个数等；
2）检查是否所有需要checkpoint和需要响应checkpoint的ACK（的task都处于running状态，否则抛出异常；
3）若均符合，执行checkpointID = checkpointIdCounter.getAndIncrement();以生成一个新的checkpointID，然后生成一个PendingCheckpoint。其中，PendingCheckpoint仅是一个启动了的checkpoint，但是还没有被确认，直到所有的task都确认了本次checkpoint，该checkpoint对象才转化为一个CompletedCheckpoint；
4）调度timer清理失败的checkpoint；
5）定义一个超时callback，如果checkpoint执行了很久还没完成，就把它取消；
6）触发MasterHooks，用户可以定义一些额外的操作，用以增强checkpoint的功能（如准备和清理外部资源）；
核心代码如下：
1 // send the messages to the tasks that trigger their checkpoint 2 //遍历ExecutionVertex，是否异步触发checkpoint
3 for (Execution execution: executions) { 4 if (props.isSynchronous()) { 5 execution.triggerSynchronousSavepoint(checkpointID, timestamp, checkpointOptions, advanceToEndOfTime); 6 } else { 7 execution.triggerCheckpoint(checkpointID, timestamp, checkpointOptions); 8 } 9 }
不管是否以异步的方式触发checkpoint，最终调用的方法是Execution类中的私有方法triggerCheckpointHelper(...)，具体代码如下：
1 //Execution.java 2 private void triggerCheckpointHelper(long checkpointId, long timestamp, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) { 3
4 final CheckpointType checkpointType = checkpointOptions.getCheckpointType(); 5 if (advanceToEndOfEventTime && !(checkpointType.isSynchronous() && checkpointType.isSavepoint())) { 6 throw new IllegalArgumentException("Only synchronous savepoints are allowed to advance the watermark to MAX."); 7 } 8
9 final LogicalSlot slot = assignedResource; 10
11 if (slot != null) { 12 //TaskManagerGateway是用于与taskManager通信的组件
13 final TaskManagerGateway taskManagerGateway = slot.getTaskManagerGateway(); 14
15 taskManagerGateway.triggerCheckpoint(attemptId, getVertex().getJobId(), checkpointId, timestamp, checkpointOptions, advanceToEndOfEventTime); 16 } else { 17 LOG.debug("The execution has no slot assigned. This indicates that the execution is no longer running."); 18 } 19 }
至此，checkpointCoordinator就将做checkpoint的命令发送到TaskManager去了，下面着重分析TM中checkpoint的执行过程。
2.3 TaskManager中checkpoint
TaskManager 接收到触发checkpoint的RPC后，会触发生成checkpoint barrier。RpcTaskManagerGateway作为消息入口，其triggerCheckpoint(...)会调用TaskExecutor的triggerCheckpoint(...)，具体过程如下：
1 //RpcTaskManagerGateway.java
2 public void triggerCheckpoint(ExecutionAttemptID executionAttemptID, JobID jobId, long checkpointId, long timestamp, CheckpointOptions checkpointOptions, boolean advanceToEndOfEventTime) { 3 taskExecutorGateway.triggerCheckpoint( 4 executionAttemptID, 5 checkpointId, 6 timestamp, 7 checkpointOptions, 8 advanceToEndOfEventTime); 9 } 10
11 //TaskExecutor.java
12 @Override 13 public CompletableFuture<Acknowledge> triggerCheckpoint( 14 ExecutionAttemptID executionAttemptID, 15 long checkpointId, 16 long checkpointTimestamp, 17 CheckpointOptions checkpointOptions, 18 boolean advanceToEndOfEventTime) { 19 log.debug("Trigger checkpoint {}@{} for {}.", checkpointId, checkpointTimestamp, executionAttemptID); 20
21 //...........
22
23 if (task != null) { 24 //核心方法，触发生成barrier
25 task.triggerCheckpointBarrier(checkpointId, checkpointTimestamp, checkpointOptions, advanceToEndOfEventTime); 26
27 return CompletableFuture.completedFuture(Acknowledge.get()); 28 } else { 29 final String message = "TaskManager received a checkpoint request for unknown task " + executionAttemptID + '.'; 30
31 //.........
32 } 33 }
在Task类的triggerCheckpointBarrier(...)方法中生成了一个Runable匿名类用于执行checkpoint，然后以异步的方式触发了该Runable，具体代码如下：
1 public void triggerCheckpointBarrier( 2 final long checkpointID, 3 final long checkpointTimestamp, 4 final CheckpointOptions checkpointOptions, 5 final boolean advanceToEndOfEventTime) { 6 7 final AbstractInvokable invokable = this.invokable; 8 //创建一个CheckpointMetaData，该对象仅有checkpointID、checkpointTimestamp两个属性 9 final CheckpointMetaData checkpointMetaData = new CheckpointMetaData(checkpointID, checkpointTimestamp); 10 11 if (executionState == ExecutionState.RUNNING && invokable != null) { 12 13 //.............. 14 15 Runnable runnable = new Runnable() { 16 @Override 17 public void run() { 18 // set safety net from the task's context for checkpointing thread 19 LOG.debug("Creating FileSystem stream leak safety net for {}", Thread.currentThread().getName()); 20 FileSystemSafetyNet.setSafetyNetCloseableRegistryForThread(safetyNetCloseableRegistry); 21 22 try { 23 //根据SourceStreamTask和StreamTask调用不同的方法 24 boolean success = invokable.triggerCheckpoint(checkpointMetaData, checkpointOptions, advanceToEndOfEventTime); 25 if (!success) { 26 checkpointResponder.declineCheckpoint( 27 getJobID(), getExecutionId(), checkpointID, 28 new CheckpointException("Task Name" + taskName, CheckpointFailureReason.CHECKPOINT_DECLINED_TASK_NOT_READY)); 29 } 30 } 31 catch (Throwable t) { 32 if (getExecutionState() == ExecutionState.RUNNING) { 33 failExternally(new Exception( 34 "Error while triggering checkpoint " + checkpointID + " for " + 35 taskNameWithSubtask, t)); 36 } else { 37 LOG.debug("Encountered error while triggering checkpoint {} for " + 38 "{} ({}) while being not in state running.", checkpointID, 39 taskNameWithSubtask, executionId, t); 40 } 41 } finally { 42 FileSystemSafetyNet.setSafetyNetCloseableRegistryForThread(null); 43 } 44 } 45 }; 46 //以异步的方式触发Runnable 47 executeAsyncCallRunnable( 48 runnable, 49 String.format("Checkpoint Trigger for %s (%s).", taskNameWithSubtask, executionId)); 50 } 51 else { 52 LOG.debug("Declining checkpoint request for non-running task {} ({}).", taskNameWithSubtask, executionId); 53 54 // send back a message that we did not do the checkpoint 55 checkpointResponder.declineCheckpoint(jobId, executionId, checkpointID, 56 new CheckpointException("Task name with subtask : " + taskNameWithSubtask, CheckpointFailureReason.CHECKPOINT_DECLINED_TASK_NOT_READY)); 57 } 58 }
SourceStreamTask和StreamTask调用triggerCheckpoint最终都是调用StreamTask类中的triggerCheckpoint(...)方法，其核心代码为：
1 //#StreamTask.java
2 return performCheckpoint(checkpointMetaData, checkpointOptions, checkpointMetrics, advanceToEndOfEventTime);
在performCheckpoint(...)方法中，主要有以下两件事：
1、若task是running，则可以进行checkpoint，主要有以下三件事：
1）为checkpoint做准备，一般是什么不做的，直接接受checkpoint；
2）生成barrier，并以广播的形式发射到下游去；
3）触发本task保存state；
2、若不是running，通知下游取消本次checkpoint，方法是发送一个CancelCheckpointMarker，这是类似于Barrier的另一种消息。
具体代码如下：
1 //#StreamTask.java
2 private boolean performCheckpoint( 3 CheckpointMetaData checkpointMetaData, 4 CheckpointOptions checkpointOptions, 5 CheckpointMetrics checkpointMetrics, 6 boolean advanceToEndOfTime) throws Exception { 7 //......
8
9 synchronized (lock) { 10 if (isRunning) { 11
12 if (checkpointOptions.getCheckpointType().isSynchronous()) { 13 syncSavepointLatch.setCheckpointId(checkpointId); 14
15 if (advanceToEndOfTime) { 16 advanceToEndOfEventTime(); 17 } 18 } 19
20 // All of the following steps happen as an atomic step from the perspective of barriers and 21 // records/watermarks/timers/callbacks. 22 // We generally try to emit the checkpoint barrier as soon as possible to not affect downstream 23 // checkpoint alignments 24
25 // Step (1): Prepare the checkpoint, allow operators to do some pre-barrier work. 26 // The pre-barrier work should be nothing or minimal in the common case.
27 operatorChain.prepareSnapshotPreBarrier(checkpointId); 28
29 // Step (2): Send the checkpoint barrier downstream
30 operatorChain.broadcastCheckpointBarrier( 31 checkpointId, 32 checkpointMetaData.getTimestamp(), 33 checkpointOptions); 34
35 // Step (3): Take the state snapshot. This should be largely asynchronous, to not 36 // impact progress of the streaming topology
37 checkpointState(checkpointMetaData, checkpointOptions, checkpointMetrics); 38
39 return true; 40 } 41 else { 42 //.......
43 } 44 } 45 }
接下来分析checkpointState(...)过程。
checkpointState(...)方法最终会调用StreamTask类中executeCheckpointing()，其中会创建一个异步对象AsyncCheckpointRunnable，用以报告该检查点已完成，关键代码如下：
1 //#StreamTask.java类中executeCheckpointing()
2 public void executeCheckpointing() throws Exception { 3 startSyncPartNano = System.nanoTime(); 4
5 try { 6 //调用StreamOperator进行snapshotState的入口方法，依算子不同而变
7 for (StreamOperator<?> op : allOperators) { 8 checkpointStreamOperator(op); 9 } 10 //......... 11
12 // we are transferring ownership over snapshotInProgressList for cleanup to the thread, active on submit
13 AsyncCheckpointRunnable asyncCheckpointRunnable = new AsyncCheckpointRunnable( 14 owner, 15 operatorSnapshotsInProgress, 16 checkpointMetaData, 17 checkpointMetrics, 18 startAsyncPartNano); 19
20 owner.cancelables.registerCloseable(asyncCheckpointRunnable); 21 owner.asyncOperationsThreadPool.execute(asyncCheckpointRunnable); 22
23 //.........
24 } catch (Exception ex) { 25 //.......
26 } 27 }
进入AsyncCheckpointRunnable(...)中的run()方法，其中会调用StreamTask类中reportCompletedSnapshotStates(...)（对于一个无状态的job返回的null），进而调用TaskStateManagerImpl类中的reportTaskStateSnapshots(...)将TM的checkpoint汇报给JM，关键代码如下：
1 //TaskStateManagerImpl.java 2 checkpointResponder.acknowledgeCheckpoint( 3 jobId, 4 executionAttemptID, 5 checkpointId, 6 checkpointMetrics, 7 acknowledgedState);
其逻辑是逻辑是通过rpc的方式远程调JobManager的相关方法完成报告事件。
2.4 JobManager处理checkpoint
通过RpcCheckpointResponder类中acknowledgeCheckpoint(...)来响应checkpoint返回的消息，该方法之后的调度过程和涉及的核心方法如下：
1 //#JobMaster类中acknowledgeCheckpoint==> 2 //#LegacyScheduler类中acknowledgeCheckpoint==> 3 //#CheckpointCoordinator类中receiveAcknowledgeMessage(...)==> 4 //completePendingCheckpoint(checkpoint); 5
6 //<p>Important: This method should only be called in the checkpoint lock scope
7 private void completePendingCheckpoint(PendingCheckpoint pendingCheckpoint) throws CheckpointException { 8 final long checkpointId = pendingCheckpoint.getCheckpointId(); 9 final CompletedCheckpoint completedCheckpoint; 10
11 // As a first step to complete the checkpoint, we register its state with the registry
12 Map<OperatorID, OperatorState> operatorStates = pendingCheckpoint.getOperatorStates(); 13 sharedStateRegistry.registerAll(operatorStates.values()); 14
15 try { 16 try { 17 //完成checkpoint
18 completedCheckpoint = pendingCheckpoint.finalizeCheckpoint(); 19 failureManager.handleCheckpointSuccess(pendingCheckpoint.getCheckpointId()); 20 } 21 catch (Exception e1) { 22 // abort the current pending checkpoint if we fails to finalize the pending checkpoint.
23 if (!pendingCheckpoint.isDiscarded()) { 24 failPendingCheckpoint(pendingCheckpoint, CheckpointFailureReason.FINALIZE_CHECKPOINT_FAILURE, e1); 25 } 26
27 throw new CheckpointException("Could not finalize the pending checkpoint " + checkpointId + '.', 28 CheckpointFailureReason.FINALIZE_CHECKPOINT_FAILURE, e1); 29 } 30
31 // the pending checkpoint must be discarded after the finalization
32 Preconditions.checkState(pendingCheckpoint.isDiscarded() && completedCheckpoint != null); 33
34 try { 35 //添加新的checkpoints，若有必要（completedCheckpoints.size() > maxNumberOfCheckpointsToRetain）删除旧的
36 completedCheckpointStore.addCheckpoint(completedCheckpoint); 37 } catch (Exception exception) { 38 // we failed to store the completed checkpoint. Let's clean up
39 executor.execute(new Runnable() { 40 @Override 41 public void run() { 42 try { 43 completedCheckpoint.discardOnFailedStoring(); 44 } catch (Throwable t) { 45 LOG.warn("Could not properly discard completed checkpoint {}.", completedCheckpoint.getCheckpointID(), t); 46 } 47 } 48 }); 49
50 throw new CheckpointException("Could not complete the pending checkpoint " + checkpointId + '.', 51 CheckpointFailureReason.FINALIZE_CHECKPOINT_FAILURE, exception); 52 } 53 } finally { 54 pendingCheckpoints.remove(checkpointId); 55
56 triggerQueuedRequests(); 57 } 58
59 rememberRecentCheckpointId(checkpointId); 60
61 // drop those pending checkpoints that are at prior to the completed one 62 //删除在其之前未完成的checkpoint（优先级高的）
63 dropSubsumedCheckpoints(checkpointId); 64
65 // record the time when this was completed, to calculate 66 // the 'min delay between checkpoints'
67 lastCheckpointCompletionNanos = System.nanoTime(); 68
69 LOG.info("Completed checkpoint {} for job {} ({} bytes in {} ms).", checkpointId, job, 70 completedCheckpoint.getStateSize(), completedCheckpoint.getDuration()); 71
72 if (LOG.isDebugEnabled()) { 73 StringBuilder builder = new StringBuilder(); 74 builder.append("Checkpoint state: "); 75 for (OperatorState state : completedCheckpoint.getOperatorStates().values()) { 76 builder.append(state); 77 builder.append(", "); 78 } 79 // Remove last two chars ", "
80 builder.setLength(builder.length() - 2); 81
82 LOG.debug(builder.toString()); 83 } 84
85 // send the "notify complete" call to all vertices
86 final long timestamp = completedCheckpoint.getTimestamp(); 87
88 //通知所有（TM中）operator该checkpoint已完成
89 for (ExecutionVertex ev : tasksToCommitTo) { 90 Execution ee = ev.getCurrentExecutionAttempt(); 91 if (ee != null) { 92 ee.notifyCheckpointComplete(checkpointId, timestamp); 93 } 94 } 95 }
至此，checkpoint的整体流程分析完毕建议结合原理去理解，参考的三篇文献都是写的很好的，有时间建议看看。
Ref：
[1]https://www.jianshu.com/p/a40a1b92f6a2
[2]https://www.cnblogs.com/bethunebtj/p/9168274.html
[3] https://blog.csdn.net/qq475781638/article/details/92698301