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https://issues.apache.org/jira/browse/FLINK-29167?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhu Zhu closed FLINK-29167.
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Resolution: Not A Problem
Closing the ticket because it does not seem to be a problem and is not active
for months.
> Time out-of-order optimization for merging multiple data streams into one
> data stream
> --------------------------------------------------------------------------------------
>
> Key: FLINK-29167
> URL: https://issues.apache.org/jira/browse/FLINK-29167
> Project: Flink
> Issue Type: Improvement
> Components: API / DataStream
> Affects Versions: 1.14.2
> Reporter: zhangyang
> Priority: Major
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> Problem Description:
> I have many demand scenarios and need to combine more than 2 data
> streams (DataStreams) into one data stream. The business behind the data
> stream processing requires the time sequence of events to complete the scene
> requirements, so I use the union operator of flink to The confluence is
> completed, but the data after the confluence does not guarantee its original
> event time sequence.
> {code:java}
> dataStream0 = dataStream0.union(dataStreamArray); {code}
> Design suggestion:
> When designing the source code, you can merge into the stream in the
> order of the array in the dataStreamArray instead of random order.
>
> Solution suggestion:
> At present, I use windowAll to sort the data after the confluence in
> chronological order, and complete the overall scene realization, but the
> parallelism of windowAll can only be 1, which affects the performance of the
> entire directed acyclic graph. In addition, there are two confluence scene
> sorting scenes. I haven't thought of a good remedy, so I can only think that
> the union of the union is the sequence, which can save a lot of unnecessary
> trouble for the event-time stream merging.
>
>
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