org.apache.flink.table.runtime.operators.wmassigners

类 ProcTimeMiniBatchAssignerOperator

java.lang.Object

org.apache.flink.streaming.api.operators.AbstractStreamOperator<org.apache.flink.table.data.RowData>

org.apache.flink.table.runtime.operators.wmassigners.ProcTimeMiniBatchAssignerOperator

所有已实现的接口:

Serializable, org.apache.flink.runtime.state.CheckpointListener, org.apache.flink.streaming.api.operators.KeyContext, org.apache.flink.streaming.api.operators.OneInputStreamOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>, org.apache.flink.streaming.api.operators.SetupableStreamOperator<org.apache.flink.table.data.RowData>, org.apache.flink.streaming.api.operators.StreamOperator<org.apache.flink.table.data.RowData>, org.apache.flink.streaming.api.operators.StreamOperatorStateHandler.CheckpointedStreamOperator, org.apache.flink.streaming.runtime.tasks.ProcessingTimeCallback, org.apache.flink.util.Disposable

public class ProcTimeMiniBatchAssignerOperator
extends org.apache.flink.streaming.api.operators.AbstractStreamOperator<org.apache.flink.table.data.RowData>
implements org.apache.flink.streaming.api.operators.OneInputStreamOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>, org.apache.flink.streaming.runtime.tasks.ProcessingTimeCallback

A stream operator that emits mini-batch marker in a given period. This mini-batch assigner works in processing time, which means the mini-batch marker is generated in the given period using the processing time. The downstream operators will trigger mini-batch once the received mini-batch id advanced.

NOTE: currently, we use Watermark to represents the mini-batch marker.

The difference between this operator and RowTimeMiniBatchAssginerOperator is that, this operator generates watermarks by itself using processing time, but the other forwards watermarks from upstream.

另请参阅:

序列化表格

字段概要

从类继承的字段 org.apache.flink.streaming.api.operators.AbstractStreamOperator

chainingStrategy, config, latencyStats, LOG, metrics, output, processingTimeService

构造器概要

构造器

构造器和说明
ProcTimeMiniBatchAssignerOperator(long intervalMs)

方法概要

限定符和类型	方法和说明
void	close()
void	onProcessingTime(long timestamp)
void	open()
void	processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<org.apache.flink.table.data.RowData> element)
void	processWatermark(org.apache.flink.streaming.api.watermark.Watermark mark) Override the base implementation to completely ignore watermarks propagated from upstream (we rely only on the AssignerWithPeriodicWatermarks to emit watermarks from here).

从类继承的方法 org.apache.flink.streaming.api.operators.AbstractStreamOperator

dispose, getChainingStrategy, getContainingTask, getCurrentKey, getExecutionConfig, getInternalTimerService, getKeyedStateBackend, getKeyedStateStore, getMetricGroup, getOperatorConfig, getOperatorID, getOperatorName, getOperatorStateBackend, getOrCreateKeyedState, getPartitionedState, getPartitionedState, getProcessingTimeService, getRuntimeContext, getTimeServiceManager, getUserCodeClassloader, initializeState, initializeState, notifyCheckpointAborted, notifyCheckpointComplete, numEventTimeTimers, numProcessingTimeTimers, prepareSnapshotPreBarrier, processLatencyMarker, processLatencyMarker1, processLatencyMarker2, processWatermark1, processWatermark2, reportOrForwardLatencyMarker, setChainingStrategy, setCurrentKey, setKeyContextElement1, setKeyContextElement2, setProcessingTimeService, setup, snapshotState, snapshotState

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.streaming.api.operators.OneInputStreamOperator

processLatencyMarker

从接口继承的方法 org.apache.flink.streaming.api.operators.StreamOperator

dispose, getMetricGroup, getOperatorID, initializeState, prepareSnapshotPreBarrier, setKeyContextElement1, setKeyContextElement2, snapshotState

从接口继承的方法 org.apache.flink.runtime.state.CheckpointListener

notifyCheckpointAborted, notifyCheckpointComplete

从接口继承的方法 org.apache.flink.streaming.api.operators.KeyContext

getCurrentKey, setCurrentKey

构造器详细资料

ProcTimeMiniBatchAssignerOperator

public ProcTimeMiniBatchAssignerOperator(long intervalMs)

方法详细资料

open

public void open()
          throws Exception

指定者:

open 在接口中 org.apache.flink.streaming.api.operators.StreamOperator<org.apache.flink.table.data.RowData>

覆盖:

open 在类中 org.apache.flink.streaming.api.operators.AbstractStreamOperator<org.apache.flink.table.data.RowData>

抛出:

Exception

processElement

public void processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<org.apache.flink.table.data.RowData> element)
                    throws Exception

指定者:

processElement 在接口中 org.apache.flink.streaming.api.operators.OneInputStreamOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

抛出:

Exception

onProcessingTime

public void onProcessingTime(long timestamp)
                      throws Exception

指定者:

onProcessingTime 在接口中 org.apache.flink.streaming.runtime.tasks.ProcessingTimeCallback

抛出:

Exception

processWatermark

public void processWatermark(org.apache.flink.streaming.api.watermark.Watermark mark)
                      throws Exception

Override the base implementation to completely ignore watermarks propagated from upstream (we rely only on the AssignerWithPeriodicWatermarks to emit watermarks from here).

指定者:

processWatermark 在接口中 org.apache.flink.streaming.api.operators.OneInputStreamOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

覆盖:

processWatermark 在类中 org.apache.flink.streaming.api.operators.AbstractStreamOperator<org.apache.flink.table.data.RowData>

抛出:

Exception

close

public void close()
           throws Exception

指定者:

close 在接口中 org.apache.flink.streaming.api.operators.StreamOperator<org.apache.flink.table.data.RowData>

覆盖:

close 在类中 org.apache.flink.streaming.api.operators.AbstractStreamOperator<org.apache.flink.table.data.RowData>

抛出:

Exception