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Posted to mapreduce-issues@hadoop.apache.org by "Vinod Kumar Vavilapalli (JIRA)" <ji...@apache.org> on 2016/01/26 20:35:40 UTC
[jira] [Updated] (MAPREDUCE-5649) Reduce cannot use more than 2G
memory for the final merge
[ https://issues.apache.org/jira/browse/MAPREDUCE-5649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vinod Kumar Vavilapalli updated MAPREDUCE-5649:
-----------------------------------------------
Fix Version/s: (was: 2.8.0)
> Reduce cannot use more than 2G memory for the final merge
> ----------------------------------------------------------
>
> Key: MAPREDUCE-5649
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-5649
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Reporter: stanley shi
> Assignee: Gera Shegalov
> Labels: 2.6.1-candidate, 2.7.2-candidate
> Fix For: 2.6.1, 2.7.2
>
> Attachments: MAPREDUCE-5649.001.patch, MAPREDUCE-5649.002.patch, MAPREDUCE-5649.003.patch
>
>
> In the org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl.java file, in the finalMerge method:
> int maxInMemReduce = (int)Math.min(
> Runtime.getRuntime().maxMemory() * maxRedPer, Integer.MAX_VALUE);
>
> This means no matter how much memory user has, reducer will not retain more than 2G data in memory before the reduce phase starts.
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