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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2021/07/09 17:21:01 UTC

[jira] [Commented] (BEAM-12439) Reuse job servers when possible in (spark|flink)_runner.py.

    [ https://issues.apache.org/jira/browse/BEAM-12439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17378196#comment-17378196 ] 

Beam JIRA Bot commented on BEAM-12439:
--------------------------------------

This issue is assigned but has not received an update in 30 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.

> Reuse job servers when possible in (spark|flink)_runner.py.
> -----------------------------------------------------------
>
>                 Key: BEAM-12439
>                 URL: https://issues.apache.org/jira/browse/BEAM-12439
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-flink, runner-spark, sdk-py-core
>            Reporter: Kyle Weaver
>            Assignee: Kyle Weaver
>            Priority: P2
>              Labels: stale-assigned
>          Time Spent: 3h 20m
>  Remaining Estimate: 0h
>
> If multiple Beam pipelines are run on Spark or Flink from the same Python script, currently a new Java job server will be created for each pipeline. This can waste lots of resources (i.e. memory), since job servers are often functionally equivalent and therefore reusable.



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