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https://issues.apache.org/jira/browse/MAPREDUCE-2345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13000637#comment-13000637
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Kang Xiao commented on MAPREDUCE-2345:
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Thanks Arun, it's really a good solution to retire completed jobs from memory
and the function is in trunk. But how about a running job with tens of
thousands of tasks? We see that big running jobs use much memory in the
cluster.
> Optimize jobtracker's memory usage
> -------------------------------------
>
> Key: MAPREDUCE-2345
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-2345
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: jobtracker
> Affects Versions: 0.21.0
> Reporter: MengWang
> Labels: hadoop
> Fix For: 0.23.0
>
> Attachments: jt-memory-useage.bmp
>
>
> To many tasks will eat up a considerable amount of JobTracker's heap space.
> According to our observation, 50GB heap size can support to 5,000,000 tasks,
> so we should optimize jobtracker's memory usage for more jobs and tasks.
> Yourkit java profile show that counters, duplicate strings, Task waste too
> much memory. Our optimization around these three points reduced jobtracker's
> memory to 1/3.
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