Package | Description |
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org.apache.flink.runtime.deployment | |
org.apache.flink.runtime.taskmanager |
Modifier and Type | Method and Description |
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static ResultPartitionDeploymentDescriptor |
ResultPartitionDeploymentDescriptor.from(IntermediateResultPartition partition,
int maxParallelism,
boolean lazyScheduling) |
Modifier and Type | Method and Description |
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Collection<ResultPartitionDeploymentDescriptor> |
TaskDeploymentDescriptor.getProducedPartitions() |
Constructor and Description |
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TaskDeploymentDescriptor(JobID jobId,
TaskDeploymentDescriptor.MaybeOffloaded<JobInformation> serializedJobInformation,
TaskDeploymentDescriptor.MaybeOffloaded<TaskInformation> serializedTaskInformation,
ExecutionAttemptID executionAttemptId,
AllocationID allocationId,
int subtaskIndex,
int attemptNumber,
int targetSlotNumber,
TaskStateSnapshot taskStateHandles,
Collection<ResultPartitionDeploymentDescriptor> resultPartitionDeploymentDescriptors,
Collection<InputGateDeploymentDescriptor> inputGateDeploymentDescriptors) |
Constructor and Description |
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Task(JobInformation jobInformation,
TaskInformation taskInformation,
ExecutionAttemptID executionAttemptID,
AllocationID slotAllocationId,
int subtaskIndex,
int attemptNumber,
Collection<ResultPartitionDeploymentDescriptor> resultPartitionDeploymentDescriptors,
Collection<InputGateDeploymentDescriptor> inputGateDeploymentDescriptors,
int targetSlotNumber,
TaskStateSnapshot taskStateHandles,
MemoryManager memManager,
IOManager ioManager,
NetworkEnvironment networkEnvironment,
BroadcastVariableManager bcVarManager,
TaskManagerActions taskManagerActions,
InputSplitProvider inputSplitProvider,
CheckpointResponder checkpointResponder,
BlobCacheService blobService,
LibraryCacheManager libraryCache,
FileCache fileCache,
TaskManagerRuntimeInfo taskManagerConfig,
TaskMetricGroup metricGroup,
ResultPartitionConsumableNotifier resultPartitionConsumableNotifier,
PartitionProducerStateChecker partitionProducerStateChecker,
Executor executor)
IMPORTANT: This constructor may not start any work that would need to
be undone in the case of a failing task deployment.
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