zhuzhurk commented on code in PR #24771:
URL: https://github.com/apache/flink/pull/24771#discussion_r1609784148
##########
flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/adaptivebatch/AdaptiveBatchScheduler.java:
##########
@@ -224,18 +250,153 @@ private SpeculativeExecutionHandler
createSpeculativeExecutionHandler(
protected void startSchedulingInternal() {
speculativeExecutionHandler.init(
getExecutionGraph(), getMainThreadExecutor(),
jobManagerJobMetricGroup);
+ jobRecoveryHandler.initialize(
+ log,
+ getExecutionGraph(),
+ shuffleMaster,
+ getMainThreadExecutor(),
+ failoverStrategy,
+ this::failJob,
+ this::resetVerticesInRecovering,
+ this::updateResultPartitionBytesMetrics,
+ this::initializeJobVertex,
+ this::updateTopology);
+
+ if (jobRecoveryHandler.needRecover()) {
+ getMainThreadExecutor()
+ .schedule(
+ () ->
+ jobRecoveryHandler.startRecovering(
+ this::onRecoveringFinished,
this::onRecoveringFailed),
+ previousWorkerRecoveryTimeout.toMillis(),
+ TimeUnit.MILLISECONDS);
+ } else {
+ tryComputeSourceParallelismThenRunAsync(
+ (Void value, Throwable throwable) -> {
+ if (getExecutionGraph().getState() ==
JobStatus.CREATED) {
+ initializeVerticesIfPossible();
+ super.startSchedulingInternal();
+ }
+ });
+ }
+ }
+
+ @Override
+ protected void maybeRestartTasks(final FailureHandlingResult
failureHandlingResult) {
+ FailureHandlingResult wrappedResult = failureHandlingResult;
+ if (failureHandlingResult.canRestart()) {
+ Set<ExecutionVertexID> originalNeedToRestartVertices =
+ failureHandlingResult.getVerticesToRestart();
+
+ Set<JobVertexID> extraNeedToRestartJobVertices =
+ originalNeedToRestartVertices.stream()
+ .map(ExecutionVertexID::getJobVertexId)
+ .filter(requiredRestartJobVertices::contains)
+ .collect(Collectors.toSet());
+
+
requiredRestartJobVertices.removeAll(extraNeedToRestartJobVertices);
+
+ Set<ExecutionVertexID> needToRestartVertices =
+ extraNeedToRestartJobVertices.stream()
+ .flatMap(
+ jobVertexId -> {
+ ExecutionJobVertex jobVertex =
+
getExecutionJobVertex(jobVertexId);
+ return
Arrays.stream(jobVertex.getTaskVertices())
+ .map(ExecutionVertex::getID);
+ })
+ .collect(Collectors.toSet());
+ needToRestartVertices.addAll(originalNeedToRestartVertices);
+
+ wrappedResult =
+ FailureHandlingResult.restartable(
+
failureHandlingResult.getFailedExecution().orElse(null),
+ failureHandlingResult.getError(),
+ failureHandlingResult.getTimestamp(),
+ failureHandlingResult.getFailureLabels(),
+ needToRestartVertices,
+ failureHandlingResult.getRestartDelayMS(),
+ failureHandlingResult.isGlobalFailure(),
+ failureHandlingResult.isRootCause());
+ }
+
+ super.maybeRestartTasks(wrappedResult);
+ }
+
+ @VisibleForTesting
+ boolean isRecovering() {
+ return jobRecoveryHandler.isRecovering();
+ }
+
+ @Override
+ public boolean updateTaskExecutionState(final TaskExecutionStateTransition
taskExecutionState) {
+ boolean success = super.updateTaskExecutionState(taskExecutionState);
+
+ if (success
+ && taskExecutionState.getExecutionState() ==
ExecutionState.FINISHED
+ && !isRecovering()) {
+ final ExecutionVertexID executionVertexId =
+ taskExecutionState.getID().getExecutionVertexId();
+ jobRecoveryHandler.notifyExecutionFinished(executionVertexId,
taskExecutionState);
+ }
+ return success;
+ }
+
+ @Override
+ protected void resetForNewExecutions(Collection<ExecutionVertexID>
vertices) {
+ super.resetForNewExecutions(vertices);
+ if (!isRecovering()) {
+ jobRecoveryHandler.notifyExecutionVertexReset(vertices);
+ }
+ }
+
+ private void initializeJobVertex(
+ ExecutionJobVertex jobVertex,
+ int parallelism,
+ Map<IntermediateDataSetID, JobVertexInputInfo> jobVertexInputInfos,
+ long createTimestamp)
+ throws JobException {
+ if (!jobVertex.isParallelismDecided()) {
+ changeJobVertexParallelism(jobVertex, parallelism);
+ } else {
+ checkState(parallelism == jobVertex.getParallelism());
+ }
+ checkState(canInitialize(jobVertex));
+ getExecutionGraph().initializeJobVertex(jobVertex, createTimestamp,
jobVertexInputInfos);
+ if (!isRecovering()) {
+ jobRecoveryHandler.notifyExecutionJobVertexInitialization(
+ jobVertex.getJobVertex().getID(), parallelism,
jobVertexInputInfos);
+ }
+ }
+
+ private void resetVerticesInRecovering(Set<ExecutionVertexID>
verticesToReset)
+ throws Exception {
+ for (ExecutionVertexID executionVertexID : verticesToReset) {
+ notifyCoordinatorsAboutTaskFailure(
+
getExecutionVertex(executionVertexID).getCurrentExecutionAttempt(), null);
+ }
+ resetForNewExecutions(verticesToReset);
+ restoreState(verticesToReset, false);
+ }
+ private void onRecoveringFinished(Set<JobVertexID>
requiredRestartJobVertices) {
Review Comment:
Is is possible to avoid depending on the handler to offer this
`requiredRestartJobVertices`, but instead continue the scheduling with the
current topology status?
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