Class ForwardForUnspecifiedPartitioner<T>
- java.lang.Object
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- org.apache.flink.streaming.runtime.partitioner.StreamPartitioner<T>
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- org.apache.flink.streaming.runtime.partitioner.ForwardPartitioner<T>
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- org.apache.flink.streaming.runtime.partitioner.ForwardForUnspecifiedPartitioner<T>
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- Type Parameters:
T- Type of the elements in the Stream
- All Implemented Interfaces:
Serializable,ChannelSelector<SerializationDelegate<StreamRecord<T>>>
@Internal public class ForwardForUnspecifiedPartitioner<T> extends ForwardPartitioner<T>
When the parallelism of both upstream and downstream isExecutionConfig.PARALLELISM_DEFAULTand the edge's partitioner is not specified (partitioner==null), the edge's partitioner will be set to FORWARD by default(SeeStreamGraph.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). When using the AdaptiveBatchScheduler, this will result in the parallelism of many job vertices is not calculated based on the amount of data but has to align with the parallelism of their upstream vertices due to forward edges, which is contrary to the original intention of the AdaptiveBatchScheduler.To solve it, we introduce the
ForwardForUnspecifiedPartitioner. This partitioner will be set for unspecified edges(partitioner==null), and then the runtime framework will change it to FORWARD/RESCALE after the operator chain creation:1. Convert to
ForwardPartitionerif the partitioner is intra-chain.2. Convert to
RescalePartitionerif the partitioner is inter-chain.This partitioner should only be used when using AdaptiveBatchScheduler.
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class org.apache.flink.streaming.runtime.partitioner.StreamPartitioner
numberOfChannels
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Constructor Summary
Constructors Constructor Description ForwardForUnspecifiedPartitioner()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description StreamPartitioner<T>copy()SubtaskStateMappergetDownstreamSubtaskStateMapper()Defines the behavior of this partitioner, when downstream rescaled during recovery of in-flight data.intselectChannel(SerializationDelegate<StreamRecord<T>> record)Returns the logical channel index, to which the given record should be written.-
Methods inherited from class org.apache.flink.streaming.runtime.partitioner.ForwardPartitioner
getUpstreamSubtaskStateMapper, isPointwise, toString
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Methods inherited from class org.apache.flink.streaming.runtime.partitioner.StreamPartitioner
disableUnalignedCheckpoints, equals, hashCode, isBroadcast, isSupportsUnalignedCheckpoint, setup
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Method Detail
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copy
public StreamPartitioner<T> copy()
- Overrides:
copyin classForwardPartitioner<T>
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getDownstreamSubtaskStateMapper
public SubtaskStateMapper getDownstreamSubtaskStateMapper()
Description copied from class:StreamPartitionerDefines the behavior of this partitioner, when downstream rescaled during recovery of in-flight data.- Overrides:
getDownstreamSubtaskStateMapperin classForwardPartitioner<T>
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selectChannel
public int selectChannel(SerializationDelegate<StreamRecord<T>> record)
Description copied from interface:ChannelSelectorReturns the logical channel index, to which the given record should be written. It is illegal to call this method for broadcast channel selectors and this method can remain not implemented in that case (for example by throwingUnsupportedOperationException).- Specified by:
selectChannelin interfaceChannelSelector<T>- Overrides:
selectChannelin classForwardPartitioner<T>- Parameters:
record- the record to determine the output channels for.- Returns:
- an integer number which indicates the index of the output channel through which the record shall be forwarded.
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