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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2020/08/10 17:08:14 UTC

[jira] [Commented] (BEAM-7888) Test Multi Process Direct Runner With Largish Data

    [ https://issues.apache.org/jira/browse/BEAM-7888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17174678#comment-17174678 ] 

Beam JIRA Bot commented on BEAM-7888:
-------------------------------------

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.


> Test Multi Process Direct Runner With Largish Data
> --------------------------------------------------
>
>                 Key: BEAM-7888
>                 URL: https://issues.apache.org/jira/browse/BEAM-7888
>             Project: Beam
>          Issue Type: Task
>          Components: sdk-py-core
>            Reporter: Ahmet Altay
>            Priority: P2
>              Labels: stale-P2
>
> Filing this as a tracker.
> We can test multiprocess runner with a largish amount of data to the extend that we can do this on Jenkins. This will serve 2 purposes:
> - Find out issues related to multi processing. It would be easier to find rare issues when running over non-trivial data.
> - Serve as a baseline (if not a benchmark) to understand the limits of the multiprocess runner.



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