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https://issues.apache.org/jira/browse/YARN-9681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887085#comment-16887085
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ANANDA G B commented on YARN-9681:
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Hi Sunil
When we submit a app to queue1 in pool1 (Please check the attached screenshots
for nodelabels configuration), the LeafQueue.assignContainers function will
update cachedResourceLimitsForHeadroom to nodelabel pool1's resource 8196.
Then LeafQueue.activateApplications function calculate the 'Maximum Application
Master Resources' of DEFAULT_PARTITION using cachedResourceLimitsForHeadroom.
This is wrong actually.
So, each nodelabel should have its own cachedResourceLimitsForHeadroom. So it
can be a ConcurrentHashMap where key is nodelabel and value is ResourceLimits.
> AM resource limit is incorrect for queue
> ----------------------------------------
>
> Key: YARN-9681
> URL: https://issues.apache.org/jira/browse/YARN-9681
> Project: Hadoop YARN
> Issue Type: Bug
> Components: resourcemanager
> Affects Versions: 3.1.2
> Reporter: ANANDA G B
> Priority: Major
> Attachments: After running job on queue1.png, Before running job on
> queue1.png
>
>
> After running the job on Queue1 of Partition1, then Queue1 of
> DEFAULT_PARTITION's 'Max Application Master Resources' is calculated wrongly.
> Please find the attachement.
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