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https://issues.apache.org/jira/browse/YARN-999?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16766305#comment-16766305
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Konstantinos Karanasos commented on YARN-999:
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Hi [~elgoiri], if it is an opportunistic container, it will already be killed
fast, so I think you don't need a distinction between guaranteed/opportunistic
(you will do preemption only in the guaranteed after the timeout).
I think [~asuresh] might have worked on something related to preemption
recently, but not sure.
> In case of long running tasks, reduce node resource should balloon out
> resource quickly by calling preemption API and suspending running task.
> -----------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: YARN-999
> URL: https://issues.apache.org/jira/browse/YARN-999
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: graceful, nodemanager, scheduler
> Reporter: Junping Du
> Priority: Major
>
> In current design and implementation, when we decrease resource on node to
> less than resource consumption of current running tasks, tasks can still be
> running until the end. But just no new task get assigned on this node
> (because AvailableResource < 0) until some tasks are finished and
> AvailableResource > 0 again. This is good for most cases but in case of long
> running task, it could be too slow for resource setting to actually work so
> preemption could be hired here.
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