You are viewing a plain text version of this content. The canonical link for it is here.

Posted to mapreduce-dev@hadoop.apache.org by "Allen Wittenauer (JIRA)" <ji...@apache.org> on 2014/07/18 07:23:05 UTC

[jira] [Resolved] (MAPREDUCE-235) Custom Splitter for handling many small files

     [ https://issues.apache.org/jira/browse/MAPREDUCE-235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Allen Wittenauer resolved MAPREDUCE-235.
----------------------------------------

    Resolution: Not a Problem

Closing this with Not A Problem.

> Custom Splitter for handling many small files
> ---------------------------------------------
>
>                 Key: MAPREDUCE-235
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-235
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>            Reporter: Subramaniam Venkatraman Krishnan
>            Assignee: Subramaniam Venkatraman Krishnan
>
> Hadoop by default allocates a Map to a file irrespective of size. This is not optimal if you have a large number of small files, for e.g:- If you 2000 100KB files, 2000 Maps will be allocated for the job.
> The Custom Multi File Splitter collapses all the small files to a single split till the DFS Block Size is hit. 
> It also take care of handling big files by splitting them on Block Size and adding up all the reminders(if any) to a further splits of Block Size. 



--
This message was sent by Atlassian JIRA
(v6.2#6252)