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https://issues.apache.org/jira/browse/MAPREDUCE-388?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12917150#action_12917150
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Greg Roelofs commented on MAPREDUCE-388:
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Christian, do you know if this is still an issue? If so, I'll recommend that
we try to get it into 0.22 (subject to all the other priorities, of course...).
> pipes combiner has a large memory footprint
> -------------------------------------------
>
> Key: MAPREDUCE-388
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-388
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Reporter: Christian Kunz
>
> Pipes combiner implementation can have a huge memory overhead compared to the
> spill size. How much, depends on the record size. E.g., an application asks
> for >2GB memory when io.sort.mb=500, key is 16 bytes, and value is 4 bytes.
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