org.apache.flink.runtime.io.network.partition

类 PipelinedApproximateSubpartitionView

java.lang.Object

org.apache.flink.runtime.io.network.partition.PipelinedSubpartitionView

org.apache.flink.runtime.io.network.partition.PipelinedApproximateSubpartitionView

所有已实现的接口:

ResultSubpartitionView

public class PipelinedApproximateSubpartitionView
extends PipelinedSubpartitionView

View over a pipelined in-memory only subpartition allowing reconnecting.

嵌套类概要

从接口继承的嵌套类/接口 org.apache.flink.runtime.io.network.partition.ResultSubpartitionView

ResultSubpartitionView.AvailabilityWithBacklog

方法概要

限定符和类型	方法和说明
void	releaseAllResources() Pipelined ResultPartition relies on its subpartition view's release to decide whether the partition is ready to release.

从类继承的方法 org.apache.flink.runtime.io.network.partition.PipelinedSubpartitionView

acknowledgeAllDataProcessed, getAvailabilityAndBacklog, getFailureCause, getNextBuffer, getNumberOfQueuedBuffers, isReleased, notifyDataAvailable, notifyNewBufferSize, notifyPriorityEvent, resumeConsumption, toString, unsynchronizedGetNumberOfQueuedBuffers

从类继承的方法 java.lang.Object

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

方法详细资料

releaseAllResources

public void releaseAllResources()

Pipelined ResultPartition relies on its subpartition view's release to decide whether the partition is ready to release. In contrast, Approximate Pipelined ResultPartition is put into the JobMaster's Partition Tracker and relies on the tracker to release partitions after the job is finished. Hence in the approximate pipelined case, no resource related to view is needed to be released.

指定者:

releaseAllResources 在接口中 ResultSubpartitionView

覆盖:

releaseAllResources 在类中 PipelinedSubpartitionView