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https://issues.apache.org/jira/browse/FLINK-12122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17397323#comment-17397323
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xuliantao commented on FLINK-12122:
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[~trohrmann] Hi， this issue does not work on yarn。How can we spread out tasks
evenly across all TaskManagers on Yarn？
Also， you said “after your first job finishes on Yarn there are still some TMs
registered, then the next job would be spread out”. I tried, but the next job
is still not spreaded out。
The case is similar to proposed by [~liuyufei]，each container has 2 slot :
source.setParallelism(2).map().setParallelism(4).addsink().setParallelism(2)
> Spread out tasks evenly across all available registered TaskManagers
> --------------------------------------------------------------------
>
> Key: FLINK-12122
> URL: https://issues.apache.org/jira/browse/FLINK-12122
> Project: Flink
> Issue Type: Sub-task
> Components: Runtime / Coordination
> Affects Versions: 1.6.4, 1.7.2, 1.8.0
> Reporter: Till Rohrmann
> Assignee: Till Rohrmann
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.9.2, 1.10.0
>
> Attachments: image-2019-05-21-12-28-29-538.png,
> image-2019-05-21-13-02-50-251.png
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> With Flip-6, we changed the default behaviour how slots are assigned to
> {{TaskManagers}}. Instead of evenly spreading it out over all registered
> {{TaskManagers}}, we randomly pick slots from {{TaskManagers}} with a
> tendency to first fill up a TM before using another one. This is a regression
> wrt the pre Flip-6 code.
> I suggest to change the behaviour so that we try to evenly distribute slots
> across all available {{TaskManagers}} by considering how many of their slots
> are already allocated.
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