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https://issues.apache.org/jira/browse/FLINK-4942?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17323698#comment-17323698
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Flink Jira Bot commented on FLINK-4942:
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This issue is assigned but has not received an update in 7 days so it has been
labeled "stale-assigned". If you are still working on the issue, please give an
update and remove the label. If you are no longer working on the issue, please
unassign so someone else may work on it. In 7 days the issue will be
automatically unassigned.
> 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
> Components: Runtime / State Backends
> Reporter: Stefan Richter
> Assignee: Stefan Richter
> Priority: Major
> Labels: stale-assigned
>
> 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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