所有类

类	说明
AbstractBroadcastWrapperOperator<T,S extends org.apache.flink.streaming.api.operators.StreamOperator<T>>	Base class for the broadcast wrapper operators.
AlgoOperator<T extends AlgoOperator<T>>	An AlgoOperator takes a list of tables as inputs and produces a list of tables as results.
BroadcastContext	Context to hold the broadcast variables and provides some utility function for accessing broadcast variables.
BroadcastStreamingRuntimeContext	An subclass of StreamingRuntimeContext that provides accessibility of broadcast variables.
BroadcastUtils	Utility class to support withBroadcast in DataStream.
BroadcastVariableReceiverOperator<OUT>	The operator that process all broadcast inputs and stores them in BroadcastContext.
BroadcastVariableReceiverOperatorFactory<OUT>	Factory class for BroadcastVariableReceiverOperator.
BroadcastWrapper<T>	The operator wrapper for AbstractBroadcastWrapperOperator.
CacheElement<T>	The wrapper class for possible cached elements used in AbstractBroadcastWrapperOperator.
CacheElement.Type	The type of cached elements.
CacheElementSerializer<T>	TypeSerializer for CacheElement.
CacheElementTypeInfo<T>	TypeInformation for CacheElement.
CountTumblingWindows	A windowing strategy that groups elements into fixed-size windows based on the count number of the elements.
DataStreamUtils	Provides utility functions for DataStream.
EndOfStreamWindows	A WindowAssigner that assigns all elements of a bounded input stream into one window pane.
Estimator<E extends Estimator<E,M>,M extends Model<M>>	Estimators are responsible for training and generating Models.
EventTimeSessionWindows	A windowing strategy that groups elements into sessions based on the timestamp of the elements.
EventTimeTumblingWindows	A windowing strategy that groups elements into fixed-size windows based on the timestamp of the elements.
ForwardInputsOfLastRound<T>	A FlatMapFunction which forwards input values in the last round of the iteration to the output.
GlobalWindows	A windowing strategy that groups all elements into a single global window.
Graph	A Graph acts as an Estimator.
GraphBuilder	A GraphBuilder provides APIs to build Estimator/Model/AlgoOperator from a DAG of stages, each of which could be an Estimator, Model, Transformer or AlgoOperator.
GraphData	This class contains fields that can be used to re-construct Graph and GraphModel.
GraphModel	A GraphModel acts as a Model.
GraphNode	The Graph node class.
GraphNode.StageType	This class specifies whether a node should be used as Estimator or AlgoOperator.
Model<T extends Model<T>>	A Model is typically generated by invoking Estimator.fit(Table...).
OneInputBroadcastWrapperOperator<IN,OUT>	Wrapper for OneInputStreamOperator.
Pipeline	A Pipeline acts as an Estimator.
PipelineModel	A PipelineModel acts as a Model.
ProcessingTimeSessionWindows	A windowing strategy that groups elements into sessions based on the current system time of the machine the operation is running on.
ProcessingTimeTumblingWindows	A windowing strategy that groups elements into fixed-size windows based on the current system time of the machine the operation is running on.
ReadWriteUtils	Utility methods for reading and writing stages.
Stage<T extends Stage<T>>	Base class for a node in a Pipeline or Graph.
TableId	The TableId is necessary to pass the inputs/outputs of various API calls across the nodes of Graph and GraphModel.
TableUtils	Utility class for operations related to Table API.
TerminateOnMaxIter<T>	A FlatMapFunction that emits values iff the iteration's epochWatermark does not exceed a certain threshold.
TerminateOnMaxIterOrTol	A FlatMapFunction that emits values iff the iteration's epochWatermark does not exceed a certain threshold and the loss exceeds a certain tolerance.
Transformer<T extends Transformer<T>>	A Transformer is an AlgoOperator with the semantic difference that it encodes the Transformation logic, such that a record in the output typically corresponds to one record in the input.
TwoInputBroadcastWrapperOperator<IN1,IN2,OUT>	Wrapper for TwoInputStreamOperator.
Windows	Windowing strategy that determines how to create mini-batches from input data.
WindowsParam	Class for the Windows parameter.