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Posted to yarn-issues@hadoop.apache.org by "Íñigo Goiri (JIRA)" <ji...@apache.org> on 2019/03/05 07:19:00 UTC
[jira] [Updated] (YARN-999) In case of long running tasks, reduce
node resource should balloon out resource quickly by calling preemption API
and suspending running task.
[ https://issues.apache.org/jira/browse/YARN-999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Íñigo Goiri updated YARN-999:
-----------------------------
Attachment: YARN-999.008.patch
> 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
> Assignee: Íñigo Goiri
> Priority: Major
> Attachments: YARN-291.000.patch, YARN-999.001.patch, YARN-999.002.patch, YARN-999.003.patch, YARN-999.004.patch, YARN-999.005.patch, YARN-999.006.patch, YARN-999.007.patch, YARN-999.008.patch
>
>
> 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 used here.
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