org.apache.flink.runtime.scheduler

类 DefaultScheduler

java.lang.Object

org.apache.flink.runtime.scheduler.SchedulerBase

org.apache.flink.runtime.scheduler.DefaultScheduler

所有已实现的接口:

AutoCloseable, CheckpointScheduling, SchedulerNG, SchedulerOperations, org.apache.flink.util.AutoCloseableAsync

public class DefaultScheduler
extends SchedulerBase
implements SchedulerOperations

The future default scheduler.

字段概要

从类继承的字段 org.apache.flink.runtime.scheduler.SchedulerBase

executionVertexVersioner, inputsLocationsRetriever, stateLocationRetriever

方法概要

限定符和类型	方法和说明
void	allocateSlotsAndDeploy(List<ExecutionVertexDeploymentOption> executionVertexDeploymentOptions) Allocate slots and deploy the vertex when slots are returned.
protected void	cancelAllPendingSlotRequestsInternal()
protected long	getNumberOfRestarts()
void	handleGlobalFailure(Throwable error)
protected void	notifyPartitionDataAvailableInternal(IntermediateResultPartitionID partitionId)
protected void	startSchedulingInternal()
protected void	updateTaskExecutionStateInternal(ExecutionVertexID executionVertexId, TaskExecutionStateTransition taskExecutionState)

从类继承的方法 org.apache.flink.runtime.scheduler.SchedulerBase

acknowledgeCheckpoint, archiveFromFailureHandlingResult, archiveGlobalFailure, cancel, closeAsync, computeVertexParallelismStore, computeVertexParallelismStore, computeVertexParallelismStore, declineCheckpoint, deliverCoordinationRequestToCoordinator, deliverOperatorEventToCoordinator, failJob, getDefaultMaxParallelism, getExecutionGraph, getExecutionJobVertex, getExecutionVertex, getExecutionVertexId, getExecutionVertexIdOrThrow, getJobGraph, getJobTerminationFuture, getMainThreadExecutor, getResultPartitionAvailabilityChecker, getSchedulingTopology, notifyKvStateRegistered, notifyKvStateUnregistered, notifyPartitionDataAvailable, reportCheckpointMetrics, requestJob, requestJobDetails, requestJobStatus, requestKvStateLocation, requestNextInputSplit, requestPartitionState, resetForNewExecutions, restoreState, setGlobalFailureCause, startCheckpointScheduler, startScheduling, stopCheckpointScheduler, stopWithSavepoint, transitionExecutionGraphState, transitionToRunning, transitionToScheduled, triggerSavepoint, updateAccumulators, updateTaskExecutionState

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

从接口继承的方法 org.apache.flink.runtime.scheduler.SchedulerNG

updateTaskExecutionState

从接口继承的方法 org.apache.flink.util.AutoCloseableAsync

close

方法详细资料

getNumberOfRestarts

protected long getNumberOfRestarts()

指定者:

getNumberOfRestarts 在类中 SchedulerBase

cancelAllPendingSlotRequestsInternal

protected void cancelAllPendingSlotRequestsInternal()

指定者:

cancelAllPendingSlotRequestsInternal 在类中 SchedulerBase

startSchedulingInternal

protected void startSchedulingInternal()

指定者:

startSchedulingInternal 在类中 SchedulerBase

updateTaskExecutionStateInternal

protected void updateTaskExecutionStateInternal(ExecutionVertexID executionVertexId,
                                                TaskExecutionStateTransition taskExecutionState)

覆盖:

updateTaskExecutionStateInternal 在类中 SchedulerBase

handleGlobalFailure

public void handleGlobalFailure(Throwable error)

指定者:

handleGlobalFailure 在接口中 SchedulerNG

notifyPartitionDataAvailableInternal

protected void notifyPartitionDataAvailableInternal(IntermediateResultPartitionID partitionId)

覆盖:

notifyPartitionDataAvailableInternal 在类中 SchedulerBase

allocateSlotsAndDeploy

public void allocateSlotsAndDeploy(List<ExecutionVertexDeploymentOption> executionVertexDeploymentOptions)

从接口复制的说明: SchedulerOperations

Allocate slots and deploy the vertex when slots are returned. Vertices will be deployed only after all of them have been assigned slots. The given order will be respected, i.e. tasks with smaller indices will be deployed earlier. Only vertices in CREATED state will be accepted. Errors will happen if scheduling Non-CREATED vertices.

指定者:

allocateSlotsAndDeploy 在接口中 SchedulerOperations

参数:

executionVertexDeploymentOptions - The deployment options of tasks to be deployed