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https://issues.apache.org/jira/browse/FLINK-7001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16464248#comment-16464248
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Philipp Grulich commented on FLINK-7001:
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Hi [~walterddr] ,
we published recently this paper about our new Window Operator:
http://www.user.tu-berlin.de/powibol/assets/publications/traub-scotty-icde-2018.pdf
It would definitely provide a huge performance improvement in contrast to the
current Flink implementation.
I think a FLIP was not written yet.
Best,
Philipp
> Improve performance of Sliding Time Window with pane optimization
> -----------------------------------------------------------------
>
> Key: FLINK-7001
> URL: https://issues.apache.org/jira/browse/FLINK-7001
> Project: Flink
> Issue Type: Improvement
> Components: DataStream API
> Reporter: Jark Wu
> Assignee: Jark Wu
> Priority: Major
>
> Currently, the implementation of time-based sliding windows treats each
> window individually and replicates records to each window. For a window of 10
> minute size that slides by 1 second the data is replicated 600 fold (10
> minutes / 1 second). We can optimize sliding window by divide windows into
> panes (aligned with slide), so that we can avoid record duplication and
> leverage the checkpoint.
> I will attach a more detail design doc to the issue.
> The following issues are similar to this issue: FLINK-5387, FLINK-6990
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