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https://issues.apache.org/jira/browse/BEAM-7745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17122752#comment-17122752
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Beam JIRA Bot commented on BEAM-7745:
-------------------------------------
This issue is P2 but has been unassigned without any comment for 60 days so it
has been labeled "stale-P2". If this issue is still affecting you, we care!
Please comment and remove the label. Otherwise, in 14 days the issue will be
moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed
explanation of what these priorities mean.
> StreamingSideInputDoFnRunner/StreamingSideInputFetcher have suboptimal state
> access pattern during normal operation
> -------------------------------------------------------------------------------------------------------------------
>
> Key: BEAM-7745
> URL: https://issues.apache.org/jira/browse/BEAM-7745
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow
> Reporter: Steve Niemitz
> Priority: P2
> Labels: stale-P2
>
> I spent some time tracking down sources of uncached state fetches in my job,
> and one large category was the interaction of StreamingSideInputDoFnRunner +
> StreamingSideInputFetcher.
> Basically, during standard operations, when the main input is NOT blocked by
> the side input, the side input fetcher will perform an uncached state read
> for every input element. Changing it to cache the blockedMap state gave me a
> ~30-40% increase in throughput in my job.
> The interaction is a little complicated, and there's a couple optimizations
> here I can see.
>
> Primarily, the blockedMap is only persisted if it is non-empty. Because the
> WindmillStateCache won't cache a null value, this means that the "nothing is
> blocked" signal is never actually cached, and will issue a state read to
> windmill for each input element. The solution here seems like it is to
> persist an empty map rather than a null when there are no blocked elements.
>
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