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https://issues.apache.org/jira/browse/FLINK-7001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16161075#comment-16161075
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Philipp Grulich commented on FLINK-7001:
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Hey,
what is the current state of this?
Over the last month, I worked on a similar research project.
We implemented this kind of aggregation sharing for all time-based window
operators.
Maybe it would make sense to work together on this.
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
> Fix For: 1.4.0
>
>
> 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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