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

类 PythonKeyedProcessOperator<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.AbstractOneInputPythonFunctionOperator<org.apache.flink.types.Row,OUT>

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

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.BoundedOneInput, org.apache.flink.streaming.api.operators.Input<org.apache.flink.types.Row>, org.apache.flink.streaming.api.operators.KeyContext, org.apache.flink.streaming.api.operators.OneInputStreamOperator<org.apache.flink.types.Row,OUT>, 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.Triggerable<org.apache.flink.types.Row,Object>

@Internal
public class PythonKeyedProcessOperator<OUT>
extends AbstractOneInputPythonFunctionOperator<org.apache.flink.types.Row,OUT>
implements org.apache.flink.streaming.api.operators.Triggerable<org.apache.flink.types.Row,Object>

PythonKeyedProcessOperator is responsible for launching beam runner which will start a python harness to execute user defined python function. It is also able to handle the timer and state request from the python stateful user defined 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.AbstractOneInputPythonFunctionOperator

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
PythonKeyedProcessOperator(org.apache.flink.configuration.Configuration config, DataStreamPythonFunctionInfo pythonFunctionInfo, org.apache.flink.api.java.typeutils.RowTypeInfo inputTypeInfo, org.apache.flink.api.common.typeinfo.TypeInformation<OUT> outputTypeInfo)
PythonKeyedProcessOperator(org.apache.flink.configuration.Configuration config, DataStreamPythonFunctionInfo pythonFunctionInfo, org.apache.flink.api.java.typeutils.RowTypeInfo inputTypeInfo, org.apache.flink.api.common.typeinfo.TypeInformation<OUT> outputTypeInfo, org.apache.flink.api.common.typeutils.TypeSerializer namespaceSerializer)

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.
Object	getCurrentKey()
void	onEventTime(org.apache.flink.streaming.api.operators.InternalTimer<org.apache.flink.types.Row,Object> timer)
void	onProcessingTime(org.apache.flink.streaming.api.operators.InternalTimer<org.apache.flink.types.Row,Object> timer)
void	open()
void	processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<org.apache.flink.types.Row> element)
void	setCurrentKey(Object key) As the beam state gRPC service will access the KeyedStateBackend in parallel with this operator, we must override this method to prevent changing the current key of the KeyedStateBackend while the beam service is handling requests.

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

createInputCoderInfoDescriptor, createOutputCoderInfoDescriptor, emitResult, endInput, getInputTypeInfo, 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, processWatermark, setConfiguration

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

getChainingStrategy, getContainingTask, 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.OneInputStreamOperator

setKeyContextElement

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.Input

processLatencyMarker, processWatermark, processWatermarkStatus

构造器详细资料

PythonKeyedProcessOperator

public PythonKeyedProcessOperator(org.apache.flink.configuration.Configuration config,
                                  DataStreamPythonFunctionInfo pythonFunctionInfo,
                                  org.apache.flink.api.java.typeutils.RowTypeInfo inputTypeInfo,
                                  org.apache.flink.api.common.typeinfo.TypeInformation<OUT> outputTypeInfo)

PythonKeyedProcessOperator

public PythonKeyedProcessOperator(org.apache.flink.configuration.Configuration config,
                                  DataStreamPythonFunctionInfo pythonFunctionInfo,
                                  org.apache.flink.api.java.typeutils.RowTypeInfo inputTypeInfo,
                                  org.apache.flink.api.common.typeinfo.TypeInformation<OUT> outputTypeInfo,
                                  org.apache.flink.api.common.typeutils.TypeSerializer namespaceSerializer)

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 AbstractOneInputPythonFunctionOperator<org.apache.flink.types.Row,OUT>

抛出:

Exception

onEventTime

public void onEventTime(org.apache.flink.streaming.api.operators.InternalTimer<org.apache.flink.types.Row,Object> timer)
                 throws Exception

指定者:

onEventTime 在接口中 org.apache.flink.streaming.api.operators.Triggerable<org.apache.flink.types.Row,Object>

抛出:

Exception

onProcessingTime

public void onProcessingTime(org.apache.flink.streaming.api.operators.InternalTimer<org.apache.flink.types.Row,Object> timer)
                      throws Exception

指定者:

onProcessingTime 在接口中 org.apache.flink.streaming.api.operators.Triggerable<org.apache.flink.types.Row,Object>

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

processElement

public void processElement(org.apache.flink.streaming.runtime.streamrecord.StreamRecord<org.apache.flink.types.Row> element)
                    throws Exception

指定者:

processElement 在接口中 org.apache.flink.streaming.api.operators.Input<org.apache.flink.types.Row>

抛出:

Exception

setCurrentKey

public void setCurrentKey(Object key)

As the beam state gRPC service will access the KeyedStateBackend in parallel with this operator, we must override this method to prevent changing the current key of the KeyedStateBackend while the beam service is handling requests.

指定者:

setCurrentKey 在接口中 org.apache.flink.streaming.api.operators.KeyContext

覆盖:

setCurrentKey 在类中 AbstractPythonFunctionOperator<OUT>

getCurrentKey

public Object getCurrentKey()

指定者:

getCurrentKey 在接口中 org.apache.flink.streaming.api.operators.KeyContext

覆盖:

getCurrentKey 在类中 org.apache.flink.streaming.api.operators.AbstractStreamOperator<OUT>

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>