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https://issues.apache.org/jira/browse/YARN-9770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16917958#comment-16917958
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Jonathan Hung commented on YARN-9770:
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I see, thanks [~leftnoteasy] for the comments. I think in practice A may be
able to recover some of its preempted resources, but some of it will be
acquired by B.
Also as long as we keep default queue ordering policy
QUEUE_UTILIZATION_ORDERING_POLICY, underutilized queues should still be able to
quickly acquire resources from preempted queues.
Thoughts on this?
> Create a queue ordering policy which picks child queues with equal probability
> ------------------------------------------------------------------------------
>
> Key: YARN-9770
> URL: https://issues.apache.org/jira/browse/YARN-9770
> Project: Hadoop YARN
> Issue Type: Improvement
> Reporter: Jonathan Hung
> Assignee: Jonathan Hung
> Priority: Major
> Labels: release-blocker
> Attachments: YARN-9770.001.patch, YARN-9770.002.patch,
> YARN-9770.003.patch
>
>
> Ran some simulations with the default queue_utilization_ordering_policy:
> An underutilized queue which receives an application with many (thousands)
> resource requests will hog scheduler allocations for a long time (on the
> order of a minute). In the meantime apps are getting submitted to all other
> queues, which increases activeUsers in these queues, which drops user limit
> in these queues to small values if minimum-user-limit-percent is configured
> to small values (e.g. 10%).
> To avoid this issue, we assign to queues with equal probability, to avoid
> scenarios where queues don't get allocations for a long time.
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