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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-4942) Improve processing performance of HeapInternalTimerService with key groups
Date Wed, 18 Jan 2017 13:56:27 GMT

    [ https://issues.apache.org/jira/browse/FLINK-4942?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15828100#comment-15828100

ASF GitHub Bot commented on FLINK-4942:

Github user StefanRRichter closed the pull request at:


> 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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