You are viewing a plain text version of this content. The canonical link for it is here.
Posted to mapreduce-issues@hadoop.apache.org by "Gera Shegalov (JIRA)" <ji...@apache.org> on 2014/06/11 02:47:02 UTC
[jira] [Commented] (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:comment-tabpanel&focusedCommentId=14027274#comment-14027274 ]
Gera Shegalov commented on MAPREDUCE-5649:
------------------------------------------
[~vgogate@gopivotal.com], [~milindb], are you going to submit the patch?
> 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
> Affects Versions: trunk
> Reporter: stanley shi
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.2#6252)