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From "Peter Bacsko (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-5124) AM lacks flow control for task events
Date Fri, 10 Nov 2017 15:49:00 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-5124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16247678#comment-16247678
] 

Peter Bacsko commented on MAPREDUCE-5124:
-----------------------------------------

Thanks Jason.

Are you sure we can't just replace the status updates? I checked the code of TaskReporter,
to it seems that counters/fetch failures cannot be removed, only altered/increased. If you
think about it, we send updates in every 3 seconds anyway - so if it's a problem, then it
would appear on the client side, too (that is, losing data).

I agree with your comment regarding the mapping - passing a reference in the event is a good
idea.

> AM lacks flow control for task events
> -------------------------------------
>
>                 Key: MAPREDUCE-5124
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5124
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>          Components: mr-am
>    Affects Versions: 2.0.3-alpha, 0.23.5
>            Reporter: Jason Lowe
>            Assignee: Peter Bacsko
>         Attachments: MAPREDUCE-5124-CoalescingPOC-1.patch, MAPREDUCE-5124-CoalescingPOC2.patch,
MAPREDUCE-5124-proto.2.txt, MAPREDUCE-5124-prototype.txt
>
>
> The AM does not have any flow control to limit the incoming rate of events from tasks.
 If the AM is unable to keep pace with the rate of incoming events for a sufficient period
of time then it will eventually exhaust the heap and crash.  MAPREDUCE-5043 addressed a major
bottleneck for event processing, but the AM could still get behind if it's starved for CPU
and/or handling a very large job with tens of thousands of active tasks.



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