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From "Thomas Jungblut (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-531) Data re-partitioning in BSPJobClient
Date Fri, 09 Mar 2012 08:28:54 GMT

    [ https://issues.apache.org/jira/browse/HAMA-531?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13225931#comment-13225931
] 

Thomas Jungblut commented on HAMA-531:
--------------------------------------

That could be an idea.
We could also schedule a MapReduce job to do this partitioning when a cluster is available.
Or we could schedule a BSP Job to do this like you said. 
                
> Data re-partitioning in BSPJobClient
> ------------------------------------
>
>                 Key: HAMA-531
>                 URL: https://issues.apache.org/jira/browse/HAMA-531
>             Project: Hama
>          Issue Type: Improvement
>            Reporter: Edward J. Yoon
>
> The re-partitioning the data is a very expensive operation. By the way, currently, we
processes read/write operations sequentially using HDFS api in BSPJobClient from client-side.
This causes potential too many open files error, contains HDFS overheads, and shows slow performance.
> We have to find another way to re-partitioning data.

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