Uses of Class
org.apache.flink.streaming.runtime.partitioner.StreamPartitioner

Packages that use StreamPartitioner

Package	Description
org.apache.flink.streaming.api.datastream
org.apache.flink.streaming.api.graph
org.apache.flink.streaming.api.transformations
org.apache.flink.streaming.runtime.io
org.apache.flink.streaming.runtime.io.recovery
org.apache.flink.streaming.runtime.partitioner
org.apache.flink.streaming.runtime.tasks

Uses of StreamPartitioner in org.apache.flink.streaming.api.datastream

Methods in org.apache.flink.streaming.api.datastream with parameters of type StreamPartitioner

Modifier and Type	Method	Description
protected DataStream<T>	DataStream.setConnectionType(StreamPartitioner<T> partitioner)	Internal function for setting the partitioner for the DataStream.
protected DataStream<T>	KeyedStream.setConnectionType(StreamPartitioner<T> partitioner)

Uses of StreamPartitioner in org.apache.flink.streaming.api.graph

Methods in org.apache.flink.streaming.api.graph that return StreamPartitioner

Modifier and Type	Method	Description
StreamPartitioner<?>	NonChainedOutput.getPartitioner()
StreamPartitioner<?>	StreamEdge.getPartitioner()

Methods in org.apache.flink.streaming.api.graph with parameters of type StreamPartitioner

Modifier and Type	Method	Description
void	StreamGraph.addVirtualPartitionNode(Integer originalId, Integer virtualId, StreamPartitioner<?> partitioner, StreamExchangeMode exchangeMode)	Adds a new virtual node that is used to connect a downstream vertex to an input with a certain partitioning.
void	NonChainedOutput.setPartitioner(StreamPartitioner<?> partitioner)
void	StreamEdge.setPartitioner(StreamPartitioner<?> partitioner)

Constructors in org.apache.flink.streaming.api.graph with parameters of type StreamPartitioner

Constructor	Description
NonChainedOutput(boolean supportsUnalignedCheckpoints, int sourceNodeId, int consumerParallelism, int consumerMaxParallelism, long bufferTimeout, boolean isPersistentDataSet, IntermediateDataSetID dataSetId, org.apache.flink.util.OutputTag<?> outputTag, StreamPartitioner<?> partitioner, ResultPartitionType partitionType)
StreamEdge(StreamNode sourceVertex, StreamNode targetVertex, int typeNumber, long bufferTimeout, StreamPartitioner<?> outputPartitioner, org.apache.flink.util.OutputTag outputTag, StreamExchangeMode exchangeMode, int uniqueId, IntermediateDataSetID intermediateDatasetId)
StreamEdge(StreamNode sourceVertex, StreamNode targetVertex, int typeNumber, StreamPartitioner<?> outputPartitioner, org.apache.flink.util.OutputTag outputTag)
StreamEdge(StreamNode sourceVertex, StreamNode targetVertex, int typeNumber, StreamPartitioner<?> outputPartitioner, org.apache.flink.util.OutputTag outputTag, StreamExchangeMode exchangeMode, int uniqueId, IntermediateDataSetID intermediateDatasetId)

Uses of StreamPartitioner in org.apache.flink.streaming.api.transformations

Methods in org.apache.flink.streaming.api.transformations that return StreamPartitioner

Modifier and Type	Method	Description
StreamPartitioner<T>	PartitionTransformation.getPartitioner()	Returns the StreamPartitioner that must be used for partitioning the elements of the input Transformation.

Constructors in org.apache.flink.streaming.api.transformations with parameters of type StreamPartitioner

Constructor	Description
PartitionTransformation(org.apache.flink.api.dag.Transformation<T> input, StreamPartitioner<T> partitioner)	Creates a new PartitionTransformation from the given input and StreamPartitioner.
PartitionTransformation(org.apache.flink.api.dag.Transformation<T> input, StreamPartitioner<T> partitioner, StreamExchangeMode exchangeMode)	Creates a new PartitionTransformation from the given input and StreamPartitioner.

Uses of StreamPartitioner in org.apache.flink.streaming.runtime.io

Method parameters in org.apache.flink.streaming.runtime.io with type arguments of type StreamPartitioner

Modifier and Type	Method	Description
static StreamMultipleInputProcessor	StreamMultipleInputProcessorFactory.create(TaskInvokable ownerTask, CheckpointedInputGate[] checkpointedInputGates, StreamConfig.InputConfig[] configuredInputs, IOManager ioManager, MemoryManager memoryManager, TaskIOMetricGroup ioMetricGroup, org.apache.flink.metrics.Counter mainOperatorRecordsIn, MultipleInputStreamOperator<?> mainOperator, WatermarkGauge[] inputWatermarkGauges, StreamConfig streamConfig, org.apache.flink.configuration.Configuration taskManagerConfig, org.apache.flink.configuration.Configuration jobConfig, org.apache.flink.api.common.ExecutionConfig executionConfig, ClassLoader userClassloader, OperatorChain<?,?> operatorChain, InflightDataRescalingDescriptor inflightDataRescalingDescriptor, Function<Integer,StreamPartitioner<?>> gatePartitioners, org.apache.flink.api.common.TaskInfo taskInfo, StreamTask.CanEmitBatchOfRecordsChecker canEmitBatchOfRecords)
static <T> StreamTaskInput<T>	StreamTaskNetworkInputFactory.create(CheckpointedInputGate checkpointedInputGate, org.apache.flink.api.common.typeutils.TypeSerializer<T> inputSerializer, IOManager ioManager, StatusWatermarkValve statusWatermarkValve, int inputIndex, InflightDataRescalingDescriptor rescalingDescriptorinflightDataRescalingDescriptor, Function<Integer,StreamPartitioner<?>> gatePartitioners, org.apache.flink.api.common.TaskInfo taskInfo, StreamTask.CanEmitBatchOfRecordsChecker canEmitBatchOfRecords)	Factory method for StreamTaskNetworkInput or RescalingStreamTaskNetworkInput depending on InflightDataRescalingDescriptor.
static <IN1,IN2> StreamMultipleInputProcessor	StreamTwoInputProcessorFactory.create(TaskInvokable ownerTask, CheckpointedInputGate[] checkpointedInputGates, IOManager ioManager, MemoryManager memoryManager, TaskIOMetricGroup taskIOMetricGroup, TwoInputStreamOperator<IN1,IN2,?> streamOperator, WatermarkGauge input1WatermarkGauge, WatermarkGauge input2WatermarkGauge, OperatorChain<?,?> operatorChain, StreamConfig streamConfig, org.apache.flink.configuration.Configuration taskManagerConfig, org.apache.flink.configuration.Configuration jobConfig, org.apache.flink.api.common.ExecutionConfig executionConfig, ClassLoader userClassloader, org.apache.flink.metrics.Counter numRecordsIn, InflightDataRescalingDescriptor inflightDataRescalingDescriptor, Function<Integer,StreamPartitioner<?>> gatePartitioners, org.apache.flink.api.common.TaskInfo taskInfo, StreamTask.CanEmitBatchOfRecordsChecker canEmitBatchOfRecords)

Uses of StreamPartitioner in org.apache.flink.streaming.runtime.io.recovery

Constructor parameters in org.apache.flink.streaming.runtime.io.recovery with type arguments of type StreamPartitioner

Constructor

Description

RescalingStreamTaskNetworkInput(CheckpointedInputGate checkpointedInputGate, org.apache.flink.api.common.typeutils.TypeSerializer<T> inputSerializer, IOManager ioManager, StatusWatermarkValve statusWatermarkValve, int inputIndex, InflightDataRescalingDescriptor inflightDataRescalingDescriptor, Function<Integer,StreamPartitioner<?>> gatePartitioners, org.apache.flink.api.common.TaskInfo taskInfo, StreamTask.CanEmitBatchOfRecordsChecker canEmitBatchOfRecords)

Uses of StreamPartitioner in org.apache.flink.streaming.runtime.partitioner

Subclasses of StreamPartitioner in org.apache.flink.streaming.runtime.partitioner

Modifier and Type	Class	Description
class	BroadcastPartitioner<T>	Partitioner that selects all the output channels.
class	CustomPartitionerWrapper<K,T>	Partitioner that selects the channel with a user defined partitioner function on a key.
class	ForwardForConsecutiveHashPartitioner<T>	If there are multiple consecutive and the same hash shuffles, SQL planner will change them except the first one to use forward partitioner, so that these operators can be chained to reduce unnecessary shuffles.
class	ForwardForUnspecifiedPartitioner<T>	When the parallelism of both upstream and downstream is ExecutionConfig.PARALLELISM_DEFAULT and the edge's partitioner is not specified (partitioner==null), the edge's partitioner will be set to FORWARD by default(See StreamGraph.createActualEdge(java.lang.Integer, java.lang.Integer, int, org.apache.flink.streaming.runtime.partitioner.StreamPartitioner<?>, org.apache.flink.util.OutputTag, org.apache.flink.streaming.api.transformations.StreamExchangeMode, org.apache.flink.runtime.jobgraph.IntermediateDataSetID) method for details).
class	ForwardPartitioner<T>	Partitioner that forwards elements only to the locally running downstream operation.
class	GlobalPartitioner<T>	Partitioner that sends all elements to the downstream operator with subtask ID=0.
class	KeyGroupStreamPartitioner<T,K>	Partitioner selects the target channel based on the key group index.
class	RebalancePartitioner<T>	Partitioner that distributes the data equally by cycling through the output channels.
class	RescalePartitioner<T>	Partitioner that distributes the data equally by cycling through the output channels.
class	ShufflePartitioner<T>	Partitioner that distributes the data equally by selecting one output channel randomly.

Methods in org.apache.flink.streaming.runtime.partitioner that return StreamPartitioner

Modifier and Type	Method	Description
StreamPartitioner<T>	BroadcastPartitioner.copy()
StreamPartitioner<T>	CustomPartitionerWrapper.copy()
StreamPartitioner<T>	ForwardForConsecutiveHashPartitioner.copy()
StreamPartitioner<T>	ForwardForUnspecifiedPartitioner.copy()
StreamPartitioner<T>	ForwardPartitioner.copy()
StreamPartitioner<T>	GlobalPartitioner.copy()
StreamPartitioner<T>	KeyGroupStreamPartitioner.copy()
StreamPartitioner<T>	RebalancePartitioner.copy()
StreamPartitioner<T>	RescalePartitioner.copy()
StreamPartitioner<T>	ShufflePartitioner.copy()
abstract StreamPartitioner<T>	StreamPartitioner.copy()
StreamPartitioner<T>	ForwardForConsecutiveHashPartitioner.getHashPartitioner()

Constructors in org.apache.flink.streaming.runtime.partitioner with parameters of type StreamPartitioner

Constructor	Description
ForwardForConsecutiveHashPartitioner(StreamPartitioner<T> hashPartitioner)	Create a new ForwardForConsecutiveHashPartitioner.

Uses of StreamPartitioner in org.apache.flink.streaming.runtime.tasks

Method parameters in org.apache.flink.streaming.runtime.tasks with type arguments of type StreamPartitioner

Modifier and Type	Method	Description
protected abstract void	AbstractTwoInputStreamTask.createInputProcessor(List<IndexedInputGate> inputGates1, List<IndexedInputGate> inputGates2, Function<Integer,StreamPartitioner<?>> gatePartitioners)
protected void	MultipleInputStreamTask.createInputProcessor(List<IndexedInputGate>[] inputGates, StreamConfig.InputConfig[] inputs, WatermarkGauge[] inputWatermarkGauges, Function<Integer,StreamPartitioner<?>> gatePartitioners)
protected void	TwoInputStreamTask.createInputProcessor(List<IndexedInputGate> inputGates1, List<IndexedInputGate> inputGates2, Function<Integer,StreamPartitioner<?>> gatePartitioners)