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https://issues.apache.org/jira/browse/FLINK-4942?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15828100#comment-15828100
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ASF GitHub Bot commented on FLINK-4942:
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Github user StefanRRichter closed the pull request at:
https://github.com/apache/flink/pull/2702
> Improve processing performance of HeapInternalTimerService with key groups
> --------------------------------------------------------------------------
>
> Key: FLINK-4942
> URL: https://issues.apache.org/jira/browse/FLINK-4942
> Project: Flink
> Issue Type: Improvement
> Reporter: Stefan Richter
> Assignee: Stefan Richter
>
> Currently, key groups awareness in `HeapInternalTimerService` is basically
> implemented as (hash) map of (hash) sets. Purpose of this is grouping key
> groups together in a way that allows easy serialization into key groups.
> However, this data layout comes along with some significant performance
> decrease, in particular when the number of key groups is high.
> I suggest to keep all timers in one set again at runtime, thus being as fast
> as in previous versions without key groups.
> Instead, we can perform a very fast online partitioning into key groups
> before a snapshot.
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