org.apache.flink.streaming.api.operators.python

类 PythonCoProcessOperator<IN1,IN2,OUT>

java.lang.Object

org.apache.flink.streaming.api.operators.AbstractStreamOperator<OUT>

org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator<OUT>

org.apache.flink.streaming.api.operators.python.AbstractDataStreamPythonFunctionOperator<OUT>

org.apache.flink.streaming.api.operators.python.AbstractTwoInputPythonFunctionOperator<IN1,IN2,OUT>

org.apache.flink.streaming.api.operators.python.PythonCoProcessOperator<IN1,IN2,OUT>

类型参数:

IN1 - The input type of the first stream

IN2 - The input type of the second stream

OUT - The output type of the CoProcess function

所有已实现的接口:

Serializable, org.apache.flink.api.common.state.CheckpointListener, org.apache.flink.api.java.typeutils.ResultTypeQueryable<OUT>, org.apache.flink.streaming.api.operators.BoundedMultiInput, org.apache.flink.streaming.api.operators.KeyContext, org.apache.flink.streaming.api.operators.SetupableStreamOperator<OUT>, org.apache.flink.streaming.api.operators.StreamOperator<OUT>, org.apache.flink.streaming.api.operators.StreamOperatorStateHandler.CheckpointedStreamOperator, org.apache.flink.streaming.api.operators.TwoInputStreamOperator<IN1,IN2,OUT>

@Internal
public class PythonCoProcessOperator<IN1,IN2,OUT>
extends AbstractTwoInputPythonFunctionOperator<IN1,IN2,OUT>

The PythonCoProcessOperator is responsible for executing the Python CoProcess Function.

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.python.AbstractTwoInputPythonFunctionOperator

baos, baosWrapper

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

config, elementCount, jobOptions, maxBundleSize, pythonConfig, pythonFunctionRunner

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

chainingStrategy, latencyStats, LOG, metrics, output, processingTimeService

构造器概要

构造器

构造器和说明
PythonCoProcessOperator(org.apache.flink.configuration.Configuration config, DataStreamPythonFunctionInfo pythonFunctionInfo, org.apache.flink.api.common.typeinfo.TypeInformation<IN1> inputTypeInfo1, org.apache.flink.api.common.typeinfo.TypeInformation<IN2> inputTypeInfo2, org.apache.flink.api.common.typeinfo.TypeInformation<OUT> outputTypeInfo)

方法概要

限定符和类型	方法和说明
<T> AbstractDataStreamPythonFunctionOperator<T>	copy(DataStreamPythonFunctionInfo pythonFunctionInfo, org.apache.flink.api.common.typeinfo.TypeInformation<T> outputTypeInfo)
PythonFunctionRunner	createPythonFunctionRunner() Creates the PythonFunctionRunner which is responsible for Python user-defined function execution.
void	open()
void	processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<IN1> element)
void	processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<IN2> element)
void	processWatermark(org.apache.flink.streaming.api.watermark.Watermark mark)

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

createInputCoderInfoDescriptor, createOutputCoderInfoDescriptor, emitResult, endInput, getLeftInputType, getRightInputType, processElement

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

containsPartitionCustom, getInternalParameters, getProducedType, getPythonEnv, getPythonFunctionInfo, setContainsPartitionCustom, setNumPartitions

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

checkInvokeFinishBundleByCount, close, createPythonEnvironmentManager, emitResults, finish, getConfiguration, getFlinkMetricContainer, invokeFinishBundle, isBundleFinished, prepareSnapshotPreBarrier, setConfiguration, setCurrentKey

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

getChainingStrategy, getContainingTask, getCurrentKey, getExecutionConfig, getInternalTimerService, getKeyedStateBackend, getKeyedStateStore, getMetricGroup, getOperatorConfig, getOperatorID, getOperatorName, getOperatorStateBackend, getOrCreateKeyedState, getPartitionedState, getPartitionedState, getProcessingTimeService, getRuntimeContext, getTimeServiceManager, getUserCodeClassloader, initializeState, initializeState, isUsingCustomRawKeyedState, notifyCheckpointAborted, notifyCheckpointComplete, processLatencyMarker, processLatencyMarker1, processLatencyMarker2, processWatermark1, processWatermark2, processWatermarkStatus, processWatermarkStatus1, processWatermarkStatus2, reportOrForwardLatencyMarker, setChainingStrategy, 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.TwoInputStreamOperator

processLatencyMarker1, processLatencyMarker2, processWatermark1, processWatermark2, processWatermarkStatus1, processWatermarkStatus2

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

close, finish, getMetricGroup, getOperatorID, initializeState, prepareSnapshotPreBarrier, setKeyContextElement1, setKeyContextElement2, snapshotState

从接口继承的方法 org.apache.flink.api.common.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

PythonCoProcessOperator

public PythonCoProcessOperator(org.apache.flink.configuration.Configuration config,
                               DataStreamPythonFunctionInfo pythonFunctionInfo,
                               org.apache.flink.api.common.typeinfo.TypeInformation<IN1> inputTypeInfo1,
                               org.apache.flink.api.common.typeinfo.TypeInformation<IN2> inputTypeInfo2,
                               org.apache.flink.api.common.typeinfo.TypeInformation<OUT> outputTypeInfo)

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<OUT>

覆盖:

open 在类中 AbstractTwoInputPythonFunctionOperator<IN1,IN2,OUT>

抛出:

Exception

createPythonFunctionRunner

public PythonFunctionRunner createPythonFunctionRunner()
                                                throws Exception

从类复制的说明: AbstractPythonFunctionOperator

Creates the PythonFunctionRunner which is responsible for Python user-defined function execution.

指定者:

createPythonFunctionRunner 在类中 AbstractPythonFunctionOperator<OUT>

抛出:

Exception

processElement1

public void processElement1(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<IN1> element)
                     throws Exception

抛出:

Exception

processElement2

public void processElement2(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<IN2> element)
                     throws Exception

抛出:

Exception

processWatermark

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

覆盖:

processWatermark 在类中 AbstractPythonFunctionOperator<OUT>

抛出:

Exception

copy

public <T> AbstractDataStreamPythonFunctionOperator<T> copy(DataStreamPythonFunctionInfo pythonFunctionInfo,
                                                            org.apache.flink.api.common.typeinfo.TypeInformation<T> outputTypeInfo)

指定者:

copy 在类中 AbstractDataStreamPythonFunctionOperator<OUT>