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From "Jason Lowe (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAPREDUCE-5124) AM lacks flow control for task events
Date Fri, 01 Dec 2017 19:24:00 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-5124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16274819#comment-16274819

Jason Lowe commented on MAPREDUCE-5124:

The ASF license errors are not related.  The unit test failures do not appear to be related.
 The TestJobImpl failure is already tracked at MAPREDUCE-6948 and the remaining tests all
passed for me locally with the patch applied.

Committing this.

> 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-5124-001.patch, MAPREDUCE-5124-002.patch, MAPREDUCE-5124-003.patch,
MAPREDUCE-5124-CoalescingPOC-1.patch, MAPREDUCE-5124-CoalescingPOC2.patch, MAPREDUCE-5124-CoalescingPOC3.patch,
MAPREDUCE-5124-branch-2.001.patch, MAPREDUCE-5124-branch-2.002.patch, MAPREDUCE-5124-branch-2.7.001.patch,
MAPREDUCE-5124-branch-2.7.002.patch, MAPREDUCE-5124-branch-2.7.002.patch, MAPREDUCE-5124-branch-2.8.001.patch,
MAPREDUCE-5124-branch-2.8.001.patch, MAPREDUCE-5124-branch-2.8.002.patch, MAPREDUCE-5124-branch-2.8.002.patch,
MAPREDUCE-5124-branch-2.9.001.patch, MAPREDUCE-5124-branch-2.9.002.patch, MAPREDUCE-5124-proto.2.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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