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Posted to issues@flink.apache.org by "Rong Rong (JIRA)" <ji...@apache.org> on 2019/02/15 21:53:00 UTC
[jira] [Commented] (FLINK-11454) Support MergedStream operation
[ https://issues.apache.org/jira/browse/FLINK-11454?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16769779#comment-16769779 ]
Rong Rong commented on FLINK-11454:
-----------------------------------
Initial thought was to use the {{[Proctime/Rowtime][Bounded/Unbounded]Over}} operator in TableAPI to implement this.
However, this will involve a migration from the TabelAPI to the DataStream API. Wasn't sure if this is worth some discussion first before I dive into the implementation. Any suggestions are welcome [~fhueske] [~aljoscha]
> Support MergedStream operation
> ------------------------------
>
> Key: FLINK-11454
> URL: https://issues.apache.org/jira/browse/FLINK-11454
> Project: Flink
> Issue Type: Sub-task
> Components: DataStream API
> Reporter: Rong Rong
> Assignee: Rong Rong
> Priority: Major
>
> Following SlicedStream, the mergedStream operator merges results from sliced stream and produces windowing results.
> {code:java}
> val slicedStream: SlicedStream = inputStream
> .keyBy("key")
> .sliceWindow(Time.seconds(5L)) // new “slice window” concept: to combine
> // tumble results based on discrete
> // non-overlapping windows.
> .aggregate(aggFunc)
> val mergedStream1: MergedStream = slicedStream
> .slideOver(Time.second(10L)) // combine slice results with same
> // windowing function, equivalent to
> // WindowOperator with an aggregate state
> // and derived aggregate function.
> val mergedStream2: MergedStream = slicedStream
> .slideOver(Count.of(5))
> .apply(windowFunction) // apply a different window function over
> // the sliced results.{code}
> MergedStream are produced by MergeOperator.
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