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https://issues.apache.org/jira/browse/YARN-7149?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16151071#comment-16151071
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Eric Payne commented on YARN-7149:
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I believe that this is related to the refactoring done to the way User Limit is
calculated in trunk / branch-2. I cannot reproduce the above use case prior to
YARN-5889.
I think the reason is because prior to YARN-5889 (and in 2.8), the result of
{{LeafQueue#computUserLimit}} was always greater than the amount used by any
given user. After YARN-5889, the return value of
{{UsersManager#computeUserLimit}} can be equal to the amount used by any given
user. Then, in {{LeafQueue#getTotalPendingResourcesConsideringUserLimit}}, we
can have a situation where {{userLimit}} - {{user.getUsed}} always equals 0,
even when it shouldn't.
> Cross-queue preemption sometimes starves an underserved queue
> -------------------------------------------------------------
>
> Key: YARN-7149
> URL: https://issues.apache.org/jira/browse/YARN-7149
> Project: Hadoop YARN
> Issue Type: Bug
> Components: capacity scheduler
> Affects Versions: 2.9.0, 3.0.0-alpha3
> Reporter: Eric Payne
> Assignee: Eric Payne
>
> In branch 2 and trunk, I am consistently seeing some use cases where
> cross-queue preemption does not happen when it should. I do not see this in
> branch-2.8.
> Use Case:
> | | *Size* | *Minimum Container Size* |
> |MyCluster | 20 GB | 0.5 GB |
> | *Queue Name* | *Capacity* | *Absolute Capacity* | *Minimum User Limit
> Percent (MULP)* | *User Limit Factor (ULF)* |
> |Q1 | 50% = 10 GB | 100% = 20 GB | 10% = 1 GB | 2.0 |
> |Q2 | 50% = 10 GB | 100% = 20 GB | 10% = 1 GB | 2.0 |
> - {{User1}} launches {{App1}} in {{Q1}} and consumes all resources (20 GB)
> - {{User2}} launches {{App2}} in {{Q2}} and requests 10 GB
> - _Note: containers are 0.5 GB._
> - Preemption monitor kills 2 containers (equals 1 GB) from {{App1}} in {{Q1}}.
> - Capacity Scheduler assigns 2 containers (equals 1 GB) to {{App2}} in {{Q2}}.
> - _No more containers are ever preempted, even though {{Q2}} is far
> underserved_
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