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Posted to mapreduce-issues@hadoop.apache.org by "Allen Wittenauer (JIRA)" <ji...@apache.org> on 2014/07/22 23:48:40 UTC

[jira] [Resolved] (MAPREDUCE-388) pipes combiner has a large memory footprint

     [ https://issues.apache.org/jira/browse/MAPREDUCE-388?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Allen Wittenauer resolved MAPREDUCE-388.
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    Resolution: Incomplete

Closing this as stale.

> 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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