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 "Kousuke Saruta (JIRA)" <ji...@apache.org> on 2013/06/28 20:26:21 UTC
[jira] [Commented] (MAPREDUCE-5153) Support for running combiners
without reducers
[ https://issues.apache.org/jira/browse/MAPREDUCE-5153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13695641#comment-13695641 ]
Kousuke Saruta commented on MAPREDUCE-5153:
-------------------------------------------
Radim, what kind of workload do you want to use combiners without reducers?
We consider whether the feature is really needed or not .
> Support for running combiners without reducers
> ----------------------------------------------
>
> Key: MAPREDUCE-5153
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-5153
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Reporter: Radim Kolar
>
> scenario: Workflow mapper -> sort -> combiner -> hdfs
> No api change is need, if user set combiner class and reducers = 0 then run combiner and sent output to HDFS.
> Popular libraries such as scalding and cascading are offering this functionality, but they use caching entire mapper output in memory.
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira