org.apache.flink.table.runtime.operators.python.scalar

类 AbstractPythonScalarFunctionOperator

java.lang.Object

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

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

org.apache.flink.table.runtime.operators.python.AbstractOneInputPythonFunctionOperator<IN,OUT>

org.apache.flink.table.runtime.operators.python.AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

org.apache.flink.table.runtime.operators.python.scalar.AbstractPythonScalarFunctionOperator

所有已实现的接口:

Serializable, org.apache.flink.api.common.state.CheckpointListener, org.apache.flink.streaming.api.operators.BoundedOneInput, org.apache.flink.streaming.api.operators.Input<org.apache.flink.table.data.RowData>, 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

直接已知子类:

ArrowPythonScalarFunctionOperator, PythonScalarFunctionOperator

@Internal
public abstract class AbstractPythonScalarFunctionOperator
extends AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

Base class for all stream operators to execute Python ScalarFunctions. It executes the Python ScalarFunctions in separate Python execution environment.

The inputs are assumed as the following format: {{{ +------------------+--------------+ | forwarded fields | extra fields | +------------------+--------------+ }}}.

The Python UDFs may take input columns directly from the input row or the execution result of Java UDFs: 1) The input columns from the input row can be referred from the 'forwarded fields'; 2) The Java UDFs will be computed and the execution results can be referred from the 'extra fields'.

The outputs will be as the following format: {{{ +------------------+-------------------------+ | forwarded fields | scalar function results | +------------------+-------------------------+ }}}.

另请参阅:

序列化表格

字段概要

字段

限定符和类型	字段和说明
protected int[]	forwardedFields The offset of the fields which should be forwarded.
protected org.apache.flink.table.data.utils.JoinedRowData	reuseJoinedRow The JoinedRowData reused holding the execution result.
protected StreamRecordRowDataWrappingCollector	rowDataWrapper The collector used to collect records.
protected org.apache.flink.table.functions.python.PythonFunctionInfo[]	scalarFunctions The Python ScalarFunctions to be executed.

从类继承的字段 org.apache.flink.table.runtime.operators.python.AbstractStatelessFunctionOperator

bais, baisWrapper, baos, baosWrapper, forwardedInputQueue, inputType, outputType, userDefinedFunctionInputOffsets, userDefinedFunctionInputType, userDefinedFunctionOutputType

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
AbstractPythonScalarFunctionOperator(org.apache.flink.configuration.Configuration config, org.apache.flink.table.functions.python.PythonFunctionInfo[] scalarFunctions, org.apache.flink.table.types.logical.RowType inputType, org.apache.flink.table.types.logical.RowType outputType, int[] udfInputOffsets, int[] forwardedFields)

方法概要

限定符和类型	方法和说明
void	bufferInput(org.apache.flink.table.data.RowData input) Buffers the specified input, it will be used to construct the operator result together with the user-defined function execution result.
org.apache.flink.table.types.logical.RowType	createUserDefinedFunctionOutputType()
org.apache.flink.table.data.RowData	getFunctionInput(org.apache.flink.table.data.RowData element)
String	getFunctionUrn()
org.apache.flink.table.functions.python.PythonEnv	getPythonEnv() Returns the PythonEnv used to create PythonEnvironmentManager..
FlinkFnApi.UserDefinedFunctions	getUserDefinedFunctionsProto() Gets the proto representation of the Python user-defined functions to be executed.
void	open()

从类继承的方法 org.apache.flink.table.runtime.operators.python.AbstractStatelessFunctionOperator

createInputCoderInfoDescriptor, createOutputCoderInfoDescriptor, createPythonFunctionRunner, processElement, processElementInternal

从类继承的方法 org.apache.flink.table.runtime.operators.python.AbstractOneInputPythonFunctionOperator

endInput

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

checkInvokeFinishBundleByCount, close, createPythonEnvironmentManager, emitResult, emitResults, finish, getConfiguration, getFlinkMetricContainer, invokeFinishBundle, isBundleFinished, prepareSnapshotPreBarrier, processWatermark, 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.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.KeyContext

getCurrentKey, setCurrentKey

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

processLatencyMarker, processWatermark, processWatermarkStatus

字段详细资料

scalarFunctions

protected final org.apache.flink.table.functions.python.PythonFunctionInfo[] scalarFunctions

The Python ScalarFunctions to be executed.

forwardedFields

protected final int[] forwardedFields

The offset of the fields which should be forwarded.

rowDataWrapper

protected transient StreamRecordRowDataWrappingCollector rowDataWrapper

The collector used to collect records.

reuseJoinedRow

protected transient org.apache.flink.table.data.utils.JoinedRowData reuseJoinedRow

The JoinedRowData reused holding the execution result.

构造器详细资料

AbstractPythonScalarFunctionOperator

public AbstractPythonScalarFunctionOperator(org.apache.flink.configuration.Configuration config,
                                            org.apache.flink.table.functions.python.PythonFunctionInfo[] scalarFunctions,
                                            org.apache.flink.table.types.logical.RowType inputType,
                                            org.apache.flink.table.types.logical.RowType outputType,
                                            int[] udfInputOffsets,
                                            int[] forwardedFields)

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 AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

抛出:

Exception

getPythonEnv

public org.apache.flink.table.functions.python.PythonEnv getPythonEnv()

从类复制的说明: AbstractPythonFunctionOperator

Returns the PythonEnv used to create PythonEnvironmentManager..

指定者:

getPythonEnv 在类中 AbstractPythonFunctionOperator<org.apache.flink.table.data.RowData>

getUserDefinedFunctionsProto

public FlinkFnApi.UserDefinedFunctions getUserDefinedFunctionsProto()

Gets the proto representation of the Python user-defined functions to be executed.

指定者:

getUserDefinedFunctionsProto 在类中 AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

getFunctionUrn

public String getFunctionUrn()

指定者:

getFunctionUrn 在类中 AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

bufferInput

public void bufferInput(org.apache.flink.table.data.RowData input)

从类复制的说明: AbstractStatelessFunctionOperator

Buffers the specified input, it will be used to construct the operator result together with the user-defined function execution result.

指定者:

bufferInput 在类中 AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

getFunctionInput

public org.apache.flink.table.data.RowData getFunctionInput(org.apache.flink.table.data.RowData element)

指定者:

getFunctionInput 在类中 AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>

createUserDefinedFunctionOutputType

public org.apache.flink.table.types.logical.RowType createUserDefinedFunctionOutputType()

指定者:

createUserDefinedFunctionOutputType 在类中 AbstractStatelessFunctionOperator<org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData,org.apache.flink.table.data.RowData>