zentol commented on a change in pull request #14921: URL: https://github.com/apache/flink/pull/14921#discussion_r574356206
########## File path: flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/declarative/DeclarativeScheduler.java ########## @@ -0,0 +1,882 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.flink.runtime.scheduler.declarative; + +import org.apache.flink.annotation.VisibleForTesting; +import org.apache.flink.api.common.ExecutionConfig; +import org.apache.flink.api.common.JobID; +import org.apache.flink.api.common.JobStatus; +import org.apache.flink.api.common.time.Time; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.queryablestate.KvStateID; +import org.apache.flink.runtime.JobException; +import org.apache.flink.runtime.accumulators.AccumulatorSnapshot; +import org.apache.flink.runtime.blob.BlobWriter; +import org.apache.flink.runtime.checkpoint.CheckpointCoordinator; +import org.apache.flink.runtime.checkpoint.CheckpointException; +import org.apache.flink.runtime.checkpoint.CheckpointFailureReason; +import org.apache.flink.runtime.checkpoint.CheckpointIDCounter; +import org.apache.flink.runtime.checkpoint.CheckpointMetrics; +import org.apache.flink.runtime.checkpoint.CheckpointRecoveryFactory; +import org.apache.flink.runtime.checkpoint.CheckpointsCleaner; +import org.apache.flink.runtime.checkpoint.CompletedCheckpointStore; +import org.apache.flink.runtime.checkpoint.TaskStateSnapshot; +import org.apache.flink.runtime.client.JobExecutionException; +import org.apache.flink.runtime.clusterframework.types.ResourceProfile; +import org.apache.flink.runtime.concurrent.ComponentMainThreadExecutor; +import org.apache.flink.runtime.concurrent.FutureUtils; +import org.apache.flink.runtime.execution.ExecutionState; +import org.apache.flink.runtime.executiongraph.ArchivedExecutionGraph; +import org.apache.flink.runtime.executiongraph.ExecutionAttemptID; +import org.apache.flink.runtime.executiongraph.ExecutionDeploymentListener; +import org.apache.flink.runtime.executiongraph.ExecutionGraph; +import org.apache.flink.runtime.executiongraph.ExecutionGraphBuilder; +import org.apache.flink.runtime.executiongraph.ExecutionJobVertex; +import org.apache.flink.runtime.executiongraph.ExecutionStateUpdateListener; +import org.apache.flink.runtime.executiongraph.ExecutionVertex; +import org.apache.flink.runtime.executiongraph.JobStatusListener; +import org.apache.flink.runtime.executiongraph.TaskExecutionStateTransition; +import org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler; +import org.apache.flink.runtime.executiongraph.failover.flip1.RestartBackoffTimeStrategy; +import org.apache.flink.runtime.io.network.partition.JobMasterPartitionTracker; +import org.apache.flink.runtime.io.network.partition.ResultPartitionID; +import org.apache.flink.runtime.jobgraph.IntermediateDataSetID; +import org.apache.flink.runtime.jobgraph.JobGraph; +import org.apache.flink.runtime.jobgraph.JobVertex; +import org.apache.flink.runtime.jobgraph.JobVertexID; +import org.apache.flink.runtime.jobgraph.OperatorID; +import org.apache.flink.runtime.jobgraph.SavepointRestoreSettings; +import org.apache.flink.runtime.jobmanager.PartitionProducerDisposedException; +import org.apache.flink.runtime.jobmaster.ExecutionDeploymentTracker; +import org.apache.flink.runtime.jobmaster.ExecutionDeploymentTrackerDeploymentListenerAdapter; +import org.apache.flink.runtime.jobmaster.LogicalSlot; +import org.apache.flink.runtime.jobmaster.SerializedInputSplit; +import org.apache.flink.runtime.jobmaster.SlotInfo; +import org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPool; +import org.apache.flink.runtime.jobmaster.slotpool.PhysicalSlot; +import org.apache.flink.runtime.jobmaster.slotpool.ResourceCounter; +import org.apache.flink.runtime.messages.FlinkJobNotFoundException; +import org.apache.flink.runtime.messages.checkpoint.DeclineCheckpoint; +import org.apache.flink.runtime.messages.webmonitor.JobDetails; +import org.apache.flink.runtime.metrics.groups.JobManagerJobMetricGroup; +import org.apache.flink.runtime.operators.coordination.CoordinationRequest; +import org.apache.flink.runtime.operators.coordination.CoordinationResponse; +import org.apache.flink.runtime.operators.coordination.OperatorEvent; +import org.apache.flink.runtime.operators.coordination.TaskNotRunningException; +import org.apache.flink.runtime.query.KvStateLocation; +import org.apache.flink.runtime.query.UnknownKvStateLocation; +import org.apache.flink.runtime.rpc.FatalErrorHandler; +import org.apache.flink.runtime.scheduler.ExecutionGraphHandler; +import org.apache.flink.runtime.scheduler.OperatorCoordinatorHandler; +import org.apache.flink.runtime.scheduler.SchedulerNG; +import org.apache.flink.runtime.scheduler.SchedulerUtils; +import org.apache.flink.runtime.scheduler.UpdateSchedulerNgOnInternalFailuresListener; +import org.apache.flink.runtime.scheduler.declarative.allocator.SlotAllocator; +import org.apache.flink.runtime.scheduler.declarative.allocator.SlotSharingSlotAllocator; +import org.apache.flink.runtime.scheduler.declarative.allocator.VertexParallelism; +import org.apache.flink.runtime.scheduler.declarative.scalingpolicy.ReactiveScaleUpController; +import org.apache.flink.runtime.scheduler.declarative.scalingpolicy.ScaleUpController; +import org.apache.flink.runtime.scheduler.strategy.ExecutionVertexID; +import org.apache.flink.runtime.shuffle.ShuffleMaster; +import org.apache.flink.runtime.state.KeyGroupRange; +import org.apache.flink.util.ExceptionUtils; +import org.apache.flink.util.FlinkException; + +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import javax.annotation.Nullable; + +import java.io.IOException; +import java.net.InetSocketAddress; +import java.time.Duration; +import java.util.Collection; +import java.util.HashSet; +import java.util.Iterator; +import java.util.Map; +import java.util.Optional; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.Executor; +import java.util.concurrent.ScheduledExecutorService; +import java.util.concurrent.TimeUnit; + +/** Declarative scheduler. */ +public class DeclarativeScheduler + implements SchedulerNG, + Created.Context, + WaitingForResources.Context, + Executing.Context, + Restarting.Context, + Failing.Context, + Finished.Context { + + private static final Logger LOG = LoggerFactory.getLogger(DeclarativeScheduler.class); + + private final JobGraphJobInformation jobInformation; + + private final DeclarativeSlotPool declarativeSlotPool; + + private final long initializationTimestamp; + + private final Configuration configuration; + private final ScheduledExecutorService futureExecutor; + private final Executor ioExecutor; + private final ClassLoader userCodeClassLoader; + private final Time rpcTimeout; + private final BlobWriter blobWriter; + private final ShuffleMaster<?> shuffleMaster; + private final JobMasterPartitionTracker partitionTracker; + private final ExecutionDeploymentTracker executionDeploymentTracker; + private final JobManagerJobMetricGroup jobManagerJobMetricGroup; + + private final CompletedCheckpointStore completedCheckpointStore; + private final CheckpointIDCounter checkpointIdCounter; + private final CheckpointsCleaner checkpointsCleaner; + + private final CompletableFuture<Void> terminationFuture = new CompletableFuture<>(); + private final RestartBackoffTimeStrategy restartBackoffTimeStrategy; + + private final ComponentMainThreadExecutor componentMainThreadExecutor; + private final FatalErrorHandler fatalErrorHandler; + + private final JobStatusListener jobStatusListener; + + private final SlotAllocator<?> slotAllocator; + + private final ScaleUpController scaleUpController; + + private State state = new Created(this, LOG); + + public DeclarativeScheduler( + JobGraph jobGraph, + Configuration configuration, + DeclarativeSlotPool declarativeSlotPool, + ScheduledExecutorService futureExecutor, + Executor ioExecutor, + ClassLoader userCodeClassLoader, + CheckpointRecoveryFactory checkpointRecoveryFactory, + Time rpcTimeout, + BlobWriter blobWriter, + JobManagerJobMetricGroup jobManagerJobMetricGroup, + ShuffleMaster<?> shuffleMaster, + JobMasterPartitionTracker partitionTracker, + RestartBackoffTimeStrategy restartBackoffTimeStrategy, + ExecutionDeploymentTracker executionDeploymentTracker, + long initializationTimestamp, + ComponentMainThreadExecutor mainThreadExecutor, + FatalErrorHandler fatalErrorHandler, + JobStatusListener jobStatusListener) + throws JobExecutionException { + + this.jobInformation = new JobGraphJobInformation(jobGraph); + this.declarativeSlotPool = declarativeSlotPool; + this.initializationTimestamp = initializationTimestamp; + this.configuration = configuration; + this.futureExecutor = futureExecutor; + this.ioExecutor = ioExecutor; + this.userCodeClassLoader = userCodeClassLoader; + this.rpcTimeout = rpcTimeout; + this.blobWriter = blobWriter; + this.shuffleMaster = shuffleMaster; + this.partitionTracker = partitionTracker; + this.restartBackoffTimeStrategy = restartBackoffTimeStrategy; + this.executionDeploymentTracker = executionDeploymentTracker; + this.jobManagerJobMetricGroup = jobManagerJobMetricGroup; + this.fatalErrorHandler = fatalErrorHandler; + this.completedCheckpointStore = + SchedulerUtils.createCompletedCheckpointStoreIfCheckpointingIsEnabled( + jobGraph, + configuration, + userCodeClassLoader, + checkpointRecoveryFactory, + LOG); + this.checkpointIdCounter = + SchedulerUtils.createCheckpointIDCounterIfCheckpointingIsEnabled( + jobGraph, checkpointRecoveryFactory); + this.checkpointsCleaner = new CheckpointsCleaner(); + + this.slotAllocator = + new SlotSharingSlotAllocator( + declarativeSlotPool::reserveFreeSlot, + declarativeSlotPool::freeReservedSlot); + + for (JobVertex vertex : jobGraph.getVertices()) { + if (vertex.getParallelism() == ExecutionConfig.PARALLELISM_DEFAULT) { + vertex.setParallelism(1); + } + } + + declarativeSlotPool.registerNewSlotsListener(this::newResourcesAvailable); + + this.componentMainThreadExecutor = mainThreadExecutor; + this.jobStatusListener = jobStatusListener; + + this.scaleUpController = new ReactiveScaleUpController(configuration); + } + + private void newResourcesAvailable(Collection<? extends PhysicalSlot> physicalSlots) { + state.tryRun( + ResourceConsumer.class, + ResourceConsumer::notifyNewResourcesAvailable, + "newResourcesAvailable"); + } + + @Override + public void startScheduling() { + state.as(Created.class) + .orElseThrow( + () -> + new IllegalStateException( + "Can only start scheduling when being in Created state.")) + .startScheduling(); + } + + @Override + public void suspend(Throwable cause) { + state.suspend(cause); + } + + @Override + public void cancel() { + state.cancel(); + } + + @Override + public CompletableFuture<Void> getTerminationFuture() { + return terminationFuture; + } + + @Override + public void handleGlobalFailure(Throwable cause) { + state.handleGlobalFailure(cause); + } + + @Override + public boolean updateTaskExecutionState(TaskExecutionStateTransition taskExecutionState) { + return state.tryCall( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.updateTaskExecutionState( + taskExecutionState), + "updateTaskExecutionState") + .orElse(false); + } + + @Override + public SerializedInputSplit requestNextInputSplit( + JobVertexID vertexID, ExecutionAttemptID executionAttempt) throws IOException { + return state.tryCall( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.requestNextInputSplit( + vertexID, executionAttempt), + "requestNextInputSplit") + .orElseThrow( + () -> new IOException("Scheduler is currently not executing the job.")); + } + + @Override + public ExecutionState requestPartitionState( + IntermediateDataSetID intermediateResultId, ResultPartitionID resultPartitionId) + throws PartitionProducerDisposedException { + return state.tryCall( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.requestPartitionState( + intermediateResultId, resultPartitionId), + "requestPartitionState") + .orElseThrow(() -> new PartitionProducerDisposedException(resultPartitionId)); + } + + @Override + public void notifyPartitionDataAvailable(ResultPartitionID partitionID) { + state.tryRun( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.notifyPartitionDataAvailable(partitionID), + "notifyPartitionDataAvailable"); + } + + @Override + public ArchivedExecutionGraph requestJob() { + return state.getJob(); + } + + @Override + public JobStatus requestJobStatus() { + return state.getJobStatus(); + } + + @Override + public JobDetails requestJobDetails() { + return JobDetails.createDetailsForJob(state.getJob()); + } + + @Override + public KvStateLocation requestKvStateLocation(JobID jobId, String registrationName) + throws UnknownKvStateLocation, FlinkJobNotFoundException { + final Optional<StateWithExecutionGraph> asOptional = + state.as(StateWithExecutionGraph.class); + + if (asOptional.isPresent()) { + return asOptional.get().requestKvStateLocation(jobId, registrationName); + } else { + throw new UnknownKvStateLocation(registrationName); + } + } + + @Override + public void notifyKvStateRegistered( + JobID jobId, + JobVertexID jobVertexId, + KeyGroupRange keyGroupRange, + String registrationName, + KvStateID kvStateId, + InetSocketAddress kvStateServerAddress) + throws FlinkJobNotFoundException { + state.tryRun( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.notifyKvStateRegistered( + jobId, + jobVertexId, + keyGroupRange, + registrationName, + kvStateId, + kvStateServerAddress), + "notifyKvStateRegistered"); + } + + @Override + public void notifyKvStateUnregistered( + JobID jobId, + JobVertexID jobVertexId, + KeyGroupRange keyGroupRange, + String registrationName) + throws FlinkJobNotFoundException { + state.tryRun( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.notifyKvStateUnregistered( + jobId, jobVertexId, keyGroupRange, registrationName), + "notifyKvStateUnregistered"); + } + + @Override + public void updateAccumulators(AccumulatorSnapshot accumulatorSnapshot) { + state.tryRun( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.updateAccumulators(accumulatorSnapshot), + "updateAccumulators"); + } + + @Override + public CompletableFuture<String> triggerSavepoint( + @Nullable String targetDirectory, boolean cancelJob) { + return state.tryCall( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.triggerSavepoint( + targetDirectory, cancelJob), + "triggerSavepoint") + .orElse( + FutureUtils.completedExceptionally( + new CheckpointException( + "The Flink job is currently not executing.", + CheckpointFailureReason.TRIGGER_CHECKPOINT_FAILURE))); + } + + @Override + public void acknowledgeCheckpoint( + JobID jobID, + ExecutionAttemptID executionAttemptID, + long checkpointId, + CheckpointMetrics checkpointMetrics, + TaskStateSnapshot checkpointState) { + state.tryRun( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.acknowledgeCheckpoint( + jobID, + executionAttemptID, + checkpointId, + checkpointMetrics, + checkpointState), + "acknowledgeCheckpoint"); + } + + @Override + public void reportCheckpointMetrics( + JobID jobID, + ExecutionAttemptID executionAttemptID, + long checkpointId, + CheckpointMetrics checkpointMetrics) { + state.tryRun( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.reportCheckpointMetrics( + executionAttemptID, checkpointId, checkpointMetrics), + "reportCheckpointMetrics"); + } + + @Override + public void declineCheckpoint(DeclineCheckpoint decline) { + state.tryRun( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> stateWithExecutionGraph.declineCheckpoint(decline), + "declineCheckpoint"); + } + + @Override + public CompletableFuture<String> stopWithSavepoint( + String targetDirectory, boolean advanceToEndOfEventTime) { + return state.tryCall( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.stopWithSavepoint( + targetDirectory, advanceToEndOfEventTime), + "stopWithSavepoint") + .orElse( + FutureUtils.completedExceptionally( + new CheckpointException( + "The Flink job is currently not executing.", + CheckpointFailureReason.TRIGGER_CHECKPOINT_FAILURE))); + } + + @Override + public void deliverOperatorEventToCoordinator( + ExecutionAttemptID taskExecution, OperatorID operator, OperatorEvent evt) + throws FlinkException { + final StateWithExecutionGraph stateWithExecutionGraph = + state.as(StateWithExecutionGraph.class) + .orElseThrow( + () -> + new TaskNotRunningException( + "Task is not known or in state running on the JobManager.")); + + stateWithExecutionGraph.deliverOperatorEventToCoordinator(taskExecution, operator, evt); + } + + @Override + public CompletableFuture<CoordinationResponse> deliverCoordinationRequestToCoordinator( + OperatorID operator, CoordinationRequest request) throws FlinkException { + return state.tryCall( + StateWithExecutionGraph.class, + stateWithExecutionGraph -> + stateWithExecutionGraph.deliverCoordinationRequestToCoordinator( + operator, request), + "deliverCoordinationRequestToCoordinator") + .orElseGet( + () -> + FutureUtils.completedExceptionally( + new FlinkException( + "Coordinator of operator " + + operator + + " does not exist"))); + } + + // ---------------------------------------------------------------- + + @Override + public boolean hasEnoughResources(ResourceCounter desiredResources) { + final Collection<? extends SlotInfo> allSlots = + declarativeSlotPool.getFreeSlotsInformation(); + ResourceCounter outstandingResources = desiredResources; + + final Iterator<? extends SlotInfo> slotIterator = allSlots.iterator(); + + while (!outstandingResources.isEmpty() && slotIterator.hasNext()) { + final SlotInfo slotInfo = slotIterator.next(); + final ResourceProfile resourceProfile = slotInfo.getResourceProfile(); + + if (outstandingResources.containsResource(resourceProfile)) { + outstandingResources = outstandingResources.subtract(resourceProfile, 1); + } else { + outstandingResources = outstandingResources.subtract(ResourceProfile.UNKNOWN, 1); + } + } + + return outstandingResources.isEmpty(); + } + + private <T extends VertexParallelism> + ParallelismAndResourceAssignments determineParallelismAndAssignResources( + SlotAllocator<T> slotAllocator) throws JobExecutionException { + + final T vertexParallelism = + slotAllocator + .determineParallelism( + jobInformation, declarativeSlotPool.getFreeSlotsInformation()) + .orElseThrow( + () -> + new JobExecutionException( + jobInformation.getJobID(), + "Not enough resources available for scheduling.")); + + final Map<ExecutionVertexID, LogicalSlot> slotAssignments = + slotAllocator.reserveResources(vertexParallelism); + + return new ParallelismAndResourceAssignments( + slotAssignments, vertexParallelism.getMaxParallelismForVertices()); + } + + @Override + public ExecutionGraph createExecutionGraphWithAvailableResources() throws Exception { + final ParallelismAndResourceAssignments parallelismAndResourceAssignments = + determineParallelismAndAssignResources(slotAllocator); + + JobGraph adjustedJobGraph = jobInformation.copyJobGraph(); + for (JobVertex vertex : adjustedJobGraph.getVertices()) { + vertex.setParallelism(parallelismAndResourceAssignments.getParallelism(vertex.getID())); + } + + final ExecutionGraph executionGraph = createExecutionGraphAndRestoreState(adjustedJobGraph); + + executionGraph.start(componentMainThreadExecutor); + executionGraph.transitionToRunning(); + + executionGraph.setInternalTaskFailuresListener( + new UpdateSchedulerNgOnInternalFailuresListener(this, jobInformation.getJobID())); + + for (ExecutionVertex executionVertex : executionGraph.getAllExecutionVertices()) { + final LogicalSlot assignedSlot = + parallelismAndResourceAssignments.getAssignedSlot(executionVertex.getID()); + executionVertex + .getCurrentExecutionAttempt() + .registerProducedPartitions(assignedSlot.getTaskManagerLocation(), false); + executionVertex.tryAssignResource(assignedSlot); + } + return executionGraph; + } + + private ExecutionGraph createExecutionGraphAndRestoreState(JobGraph adjustedJobGraph) + throws Exception { + ExecutionDeploymentListener executionDeploymentListener = + new ExecutionDeploymentTrackerDeploymentListenerAdapter(executionDeploymentTracker); + ExecutionStateUpdateListener executionStateUpdateListener = + (execution, newState) -> { + if (newState.isTerminal()) { + executionDeploymentTracker.stopTrackingDeploymentOf(execution); + } + }; + + final ExecutionGraph newExecutionGraph = + ExecutionGraphBuilder.buildGraph( + adjustedJobGraph, + configuration, + futureExecutor, + ioExecutor, + userCodeClassLoader, + completedCheckpointStore, + checkpointsCleaner, + checkpointIdCounter, + rpcTimeout, + jobManagerJobMetricGroup, + blobWriter, + LOG, + shuffleMaster, + partitionTracker, + executionDeploymentListener, + executionStateUpdateListener, + initializationTimestamp); + + final CheckpointCoordinator checkpointCoordinator = + newExecutionGraph.getCheckpointCoordinator(); + + if (checkpointCoordinator != null) { + // check whether we find a valid checkpoint + if (!checkpointCoordinator.restoreInitialCheckpointIfPresent( + new HashSet<>(newExecutionGraph.getAllVertices().values()))) { + + // check whether we can restore from a savepoint + tryRestoreExecutionGraphFromSavepoint( + newExecutionGraph, adjustedJobGraph.getSavepointRestoreSettings()); + } + } + + return newExecutionGraph; + } + + /** + * Tries to restore the given {@link ExecutionGraph} from the provided {@link + * SavepointRestoreSettings}. + * + * @param executionGraphToRestore {@link ExecutionGraph} which is supposed to be restored + * @param savepointRestoreSettings {@link SavepointRestoreSettings} containing information about + * the savepoint to restore from + * @throws Exception if the {@link ExecutionGraph} could not be restored + */ + private void tryRestoreExecutionGraphFromSavepoint( + ExecutionGraph executionGraphToRestore, + SavepointRestoreSettings savepointRestoreSettings) + throws Exception { + if (savepointRestoreSettings.restoreSavepoint()) { + final CheckpointCoordinator checkpointCoordinator = + executionGraphToRestore.getCheckpointCoordinator(); + if (checkpointCoordinator != null) { + checkpointCoordinator.restoreSavepoint( + savepointRestoreSettings.getRestorePath(), + savepointRestoreSettings.allowNonRestoredState(), + executionGraphToRestore.getAllVertices(), + userCodeClassLoader); + } + } + } + + @Override + public ArchivedExecutionGraph getArchivedExecutionGraph( + JobStatus jobStatus, @Nullable Throwable cause) { + return ArchivedExecutionGraph.createFromInitializingJob( + jobInformation.getJobID(), + jobInformation.getName(), + jobStatus, + cause, + initializationTimestamp); + } + + @Override + public void goToWaitingForResources() { + final ResourceCounter desiredResources = calculateDesiredResources(); + declarativeSlotPool.setResourceRequirements(desiredResources); + + // TODO: add resourceTimeout parameter + transitionToState( + new WaitingForResources(this, LOG, desiredResources, Duration.ofSeconds(10))); + } + + private ResourceCounter calculateDesiredResources() { + return slotAllocator.calculateRequiredSlots(jobInformation.getVertices()); + } + + @Override + public void goToExecuting(ExecutionGraph executionGraph) { + final ExecutionGraphHandler executionGraphHandler = + new ExecutionGraphHandler( + executionGraph, LOG, ioExecutor, componentMainThreadExecutor); + final OperatorCoordinatorHandler operatorCoordinatorHandler = + new OperatorCoordinatorHandler(executionGraph, this::handleGlobalFailure); + operatorCoordinatorHandler.initializeOperatorCoordinators(componentMainThreadExecutor); + operatorCoordinatorHandler.startAllOperatorCoordinators(); + + transitionToState( + new Executing( + executionGraph, + executionGraphHandler, + operatorCoordinatorHandler, + LOG, + this, + userCodeClassLoader)); + } + + @Override + public void goToCanceling( + ExecutionGraph executionGraph, + ExecutionGraphHandler executionGraphHandler, + OperatorCoordinatorHandler operatorCoordinatorHandler) { + transitionToState( + new Canceling( + this, + executionGraph, + executionGraphHandler, + operatorCoordinatorHandler, + LOG)); + } + + @Override + public void goToRestarting( + ExecutionGraph executionGraph, + ExecutionGraphHandler executionGraphHandler, + OperatorCoordinatorHandler operatorCoordinatorHandler, + Duration backoffTime) { + transitionToState( + new Restarting( + this, + executionGraph, + executionGraphHandler, + operatorCoordinatorHandler, + LOG, + backoffTime)); + } + + @Override + public void goToFailing( + ExecutionGraph executionGraph, + ExecutionGraphHandler executionGraphHandler, + OperatorCoordinatorHandler operatorCoordinatorHandler, + Throwable failureCause) { + transitionToState( + new Failing( + this, + executionGraph, + executionGraphHandler, + operatorCoordinatorHandler, + LOG, + failureCause)); + } + + @Override + public void goToFinished(ArchivedExecutionGraph archivedExecutionGraph) { + transitionToState(new Finished(this, archivedExecutionGraph, LOG)); + } + + @Override + public boolean canScaleUp(ExecutionGraph executionGraph) { + int availableSlots = declarativeSlotPool.getFreeSlotsInformation().size(); + + if (availableSlots > 0) { + final Optional<? extends VertexParallelism> potentialNewParallelism = + slotAllocator.determineParallelism( + jobInformation, declarativeSlotPool.getAllSlotsInformation()); + + if (potentialNewParallelism.isPresent()) { + int currentCumulativeParallelism = getCurrentCumulativeParallelism(executionGraph); + int newCumulativeParallelism = + getCumulativeParallelism(potentialNewParallelism.get()); + if (newCumulativeParallelism > currentCumulativeParallelism) { + LOG.debug( + "Offering scale up to scaling policy with currentCumulativeParallelism={}, newCumulativeParallelism={}", + currentCumulativeParallelism, + newCumulativeParallelism); + return scaleUpController.canScaleUp( + currentCumulativeParallelism, newCumulativeParallelism); + } + } + } + return false; + } + + private static int getCurrentCumulativeParallelism(ExecutionGraph executionGraph) { + return executionGraph.getAllVertices().values().stream() + .map(ExecutionJobVertex::getParallelism) + .reduce(0, Integer::sum); + } + + private static int getCumulativeParallelism(VertexParallelism potentialNewParallelism) { + return potentialNewParallelism.getMaxParallelismForVertices().values().stream() + .reduce(0, Integer::sum); + } + + @Override + public void onFinished(ArchivedExecutionGraph archivedExecutionGraph) { + stopCheckpointServicesSafely(archivedExecutionGraph.getState()); + + if (jobStatusListener != null) { + jobStatusListener.jobStatusChanges( + jobInformation.getJobID(), + archivedExecutionGraph.getState(), + archivedExecutionGraph.getStatusTimestamp(archivedExecutionGraph.getState()), + archivedExecutionGraph.getFailureInfo() != null + ? archivedExecutionGraph.getFailureInfo().getException() + : null); + } + } + + private void stopCheckpointServicesSafely(JobStatus terminalState) { + Exception exception = null; + + try { + completedCheckpointStore.shutdown(terminalState, checkpointsCleaner); + } catch (Exception e) { + exception = e; + } + + try { + checkpointIdCounter.shutdown(terminalState); + } catch (Exception e) { + exception = ExceptionUtils.firstOrSuppressed(e, exception); + } + + if (exception != null) { + LOG.warn("Failed to stop checkpoint services.", exception); + } + } + + @Override + public Executing.FailureResult howToHandleFailure(Throwable failure) { + if (ExecutionFailureHandler.isUnrecoverableError(failure)) { + return Executing.FailureResult.canNotRestart( + new JobException("The failure is not recoverable", failure)); + } + + restartBackoffTimeStrategy.notifyFailure(failure); + if (restartBackoffTimeStrategy.canRestart()) { + return Executing.FailureResult.canRestart( + Duration.ofMillis(restartBackoffTimeStrategy.getBackoffTime())); + } else { + return Executing.FailureResult.canNotRestart( + new JobException( + "Recovery is suppressed by " + restartBackoffTimeStrategy, failure)); + } + } + + @Override + public Executor getMainThreadExecutor() { + return componentMainThreadExecutor; + } + + @Override + public boolean isState(State expectedState) { + return expectedState == this.state; + } + + @Override + public void runIfState(State expectedState, Runnable action) { + if (isState(expectedState)) { + try { + action.run(); + } catch (Throwable t) { + fatalErrorHandler.onFatalError(t); + } + } else { + LOG.debug( + "Ignoring scheduled action because expected state {} is not the actual state {}.", + expectedState, + state); + } + } + + @Override + public void runIfState(State expectedState, Runnable action, Duration delay) { + componentMainThreadExecutor.schedule( + () -> runIfState(expectedState, action), delay.toMillis(), TimeUnit.MILLISECONDS); + } + + // ---------------------------------------------------------------- + + private void transitionToState(State newState) { + if (state != newState) { + LOG.debug( Review comment: I'd say debug is fine because users won't be able to make sense of scheduler states. In fact I think it could even be confusing if the job fails but the schedulers transitions to "fnished" (opposed to failed). ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
