类的使用
org.apache.flink.table.runtime.runners.python.beam.BeamTablePythonFunctionRunner

使用BeamTablePythonFunctionRunner的程序包

程序包	说明
org.apache.flink.table.runtime.runners.python.beam

org.apache.flink.table.runtime.runners.python.beam中BeamTablePythonFunctionRunner的使用

返回BeamTablePythonFunctionRunner的org.apache.flink.table.runtime.runners.python.beam中的方法

限定符和类型	方法和说明
static BeamTablePythonFunctionRunner	BeamTablePythonFunctionRunner.stateful(String taskName, PythonEnvironmentManager environmentManager, String functionUrn, com.google.protobuf.GeneratedMessageV3 userDefinedFunctionProto, Map<String,String> jobOptions, FlinkMetricContainer flinkMetricContainer, org.apache.flink.runtime.state.KeyedStateBackend<?> keyedStateBackend, org.apache.flink.api.common.typeutils.TypeSerializer<?> keySerializer, org.apache.flink.api.common.typeutils.TypeSerializer<?> namespaceSerializer, org.apache.flink.runtime.memory.MemoryManager memoryManager, double managedMemoryFraction, FlinkFnApi.CoderInfoDescriptor inputCoderDescriptor, FlinkFnApi.CoderInfoDescriptor outputCoderDescriptor)
static BeamTablePythonFunctionRunner	BeamTablePythonFunctionRunner.stateless(String taskName, PythonEnvironmentManager environmentManager, String functionUrn, com.google.protobuf.GeneratedMessageV3 userDefinedFunctionProto, Map<String,String> jobOptions, FlinkMetricContainer flinkMetricContainer, org.apache.flink.runtime.memory.MemoryManager memoryManager, double managedMemoryFraction, FlinkFnApi.CoderInfoDescriptor inputCoderDescriptor, FlinkFnApi.CoderInfoDescriptor outputCoderDescriptor)