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https://issues.apache.org/jira/browse/YARN-2022?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sunil G updated YARN-2022:
--------------------------
Attachment: YARN-2022.4.patch
Thank you [~mayank_bansal] for the review. I updated a patch as per the review
comments.
yarn.scheduler.capacity.<queue-path>.maximum-am-resource-percent will always
default to yarn.scheduler.capacity.maximum-am-resource-percent, if not set.
Hence I was using *LeafQueue#getMaxAMResourcePerQueuePercent* only.
getMaxAMResourcePercent was used only in default case of
yarn.scheduler.capacity.<queue-path>.maximum-am-resource-percent.
Kindly check the same and please let me know your comments
> Preempting an Application Master container can be kept as least priority when
> multiple applications are marked for preemption by
> ProportionalCapacityPreemptionPolicy
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: YARN-2022
> URL: https://issues.apache.org/jira/browse/YARN-2022
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: resourcemanager
> Affects Versions: 2.4.0
> Reporter: Sunil G
> Assignee: Sunil G
> Attachments: YARN-2022-DesignDraft.docx, YARN-2022.2.patch,
> YARN-2022.3.patch, YARN-2022.4.patch, Yarn-2022.1.patch
>
>
> Cluster Size = 16GB [2NM's]
> Queue A Capacity = 50%
> Queue B Capacity = 50%
> Consider there are 3 applications running in Queue A which has taken the full
> cluster capacity.
> J1 = 2GB AM + 1GB * 4 Maps
> J2 = 2GB AM + 1GB * 4 Maps
> J3 = 2GB AM + 1GB * 2 Maps
> Another Job J4 is submitted in Queue B [J4 needs a 2GB AM + 1GB * 2 Maps ].
> Currently in this scenario, Jobs J3 will get killed including its AM.
> It is better if AM can be given least priority among multiple applications.
> In this same scenario, map tasks from J3 and J2 can be preempted.
> Later when cluster is free, maps can be allocated to these Jobs.
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