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From "Tsuyoshi OZAWA (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-5124) AM lacks flow control for task events
Date Tue, 14 May 2013 09:39:17 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-5124?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Tsuyoshi OZAWA updated MAPREDUCE-5124:
--------------------------------------

    Attachment: MAPREDUCE-5124-prototype.txt

I've designed and prototyped to deal with this problem as follows:

1. AsyncDispatcher should have the capacity of blocking queue to limit memory usage.
2. AsyncDispatcher should have the capacity of handling events per sec to limit CPU usage.

This prototype can only handle 1 in AsyncDispatcher.
If this design is acceptable, I'll create umbrella tickets and continue to implement. Any
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
>         Attachments: 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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