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

类 RowTimeMiniBatchAssginerOperator

java.lang.Object

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

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

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.util.Disposable

public class RowTimeMiniBatchAssginerOperator
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>

A stream operator that emits watermark in a given event-time interval. This mini-batch assigner works in event time, which means the watermark is forwarded from upstream but filtered by the event-time interval. The downstream operators (e.g. windows) will trigger mini-batch once the received watermark is advanced. So only the watermarks that across the event-time interval boundary (i.e. window-end) will be forwarded. This is for windows to have most efficient mini-batch.

For example, if this operator receives watermarks 0,1,2,3 ..., 19, 20, 21. The downstream operator is a 5-size window aggregate, then the mini-batch interval is 5 (this is inferred by rules). Then only 4, 9, 14, 19 will be forwarded, because they are the watermarks trigger windows.

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

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
RowTimeMiniBatchAssginerOperator(long minibatchInterval)

方法概要

限定符和类型	方法和说明
void	close()
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)

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

RowTimeMiniBatchAssginerOperator

public RowTimeMiniBatchAssginerOperator(long minibatchInterval)

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

processWatermark

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

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