[jira] Resolved: (HADOOP-3387) Custom Splitter for handling many small files

["Owen O'Malley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HADOOP-3387?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Owen O'Malley resolved HADOOP-3387.
-----------------------------------

    Resolution: Duplicate

Doesn't HADOOP-1515 (MultiFileInputFormat) address your needs?

> Custom Splitter for handling many small files
> ---------------------------------------------
>
>                 Key: HADOOP-3387
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3387
>             Project: Hadoop Core
>          Issue Type: Improvement
>          Components: mapred
>            Reporter: Subramaniam Krishnan
>            Assignee: Subramaniam Krishnan
>             Fix For: 0.18.0
>
>
> 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. 

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