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https://issues.apache.org/jira/browse/FLINK-6936?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17329549#comment-17329549
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Flink Jira Bot commented on FLINK-6936:
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This issue is assigned but has not received an update in 7 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> Add multiple targets support for custom partitioner
> ---------------------------------------------------
>
> Key: FLINK-6936
> URL: https://issues.apache.org/jira/browse/FLINK-6936
> Project: Flink
> Issue Type: Improvement
> Components: API / DataStream
> Reporter: Xingcan Cui
> Assignee: Xingcan Cui
> Priority: Minor
> Labels: stale-assigned, stale-minor
>
> The current user-facing Partitioner only allows returning one target.
> {code:java}
> @Public
> public interface Partitioner<K> extends java.io.Serializable, Function {
> /**
> * Computes the partition for the given key.
> *
> * @param key The key.
> * @param numPartitions The number of partitions to partition into.
> * @return The partition index.
> */
> int partition(K key, int numPartitions);
> }
> {code}
> Actually, this function should return multiple partitions and this may be a
> historical legacy.
> There could be at least three approaches to solve this.
> # Make the `protected DataStream<T> setConnectionType(StreamPartitioner<T>
> partitioner)` method in DataStream public and that allows users to directly
> define StreamPartitioner.
> # Change the `partition` method in the Partitioner interface to return an int
> array instead of a single int value.
> # Add a new `multicast` method to DataStream and provide a MultiPartitioner
> interface which returns an int array.
> Considering the consistency of API, the 3rd approach seems to be an
> acceptable choice. [~aljoscha], what do you think?
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