[ 
https://issues.apache.org/jira/browse/YARN-261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13770160#comment-13770160
 ] 

Andrey Klochkov commented on YARN-261:
--------------------------------------

Seems that the reported test failures are all caused by 
"java.lang.OutOfMemoryError: unable to create new native thread", shouldn't be 
relevant to the changes in the patch.
                
> Ability to kill AM attempts
> ---------------------------
>
>                 Key: YARN-261
>                 URL: https://issues.apache.org/jira/browse/YARN-261
>             Project: Hadoop YARN
>          Issue Type: New Feature
>          Components: api
>    Affects Versions: 2.0.3-alpha
>            Reporter: Jason Lowe
>            Assignee: Andrey Klochkov
>         Attachments: YARN-261--n2.patch, YARN-261--n3.patch, 
> YARN-261--n4.patch, YARN-261.patch
>
>
> It would be nice if clients could ask for an AM attempt to be killed.  This 
> is analogous to the task attempt kill support provided by MapReduce.
> This feature would be useful in a scenario where AM retries are enabled, the 
> AM supports recovery, and a particular AM attempt is stuck.  Currently if 
> this occurs the user's only recourse is to kill the entire application, 
> requiring them to resubmit a new application and potentially breaking 
> downstream dependent jobs if it's part of a bigger workflow.  Killing the 
> attempt would allow a new attempt to be started by the RM without killing the 
> entire application, and if the AM supports recovery it could potentially save 
> a lot of work.  It could also be useful in workflow scenarios where the 
> failure of the entire application kills the workflow, but the ability to kill 
> an attempt can keep the workflow going if the subsequent attempt succeeds.

--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira

Reply via email to