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