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From "Thomas Jungblut (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-531) Data re-partitioning in BSPJobClient
Date Wed, 23 May 2012 17:43:41 GMT

    [ https://issues.apache.org/jira/browse/HAMA-531?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13281746#comment-13281746
] 

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

Thanks Edward, you are right.
I've just observed it in the testcases:
{noformat}
12/05/23 19:41:37 INFO bsp.BSPJobClient: Running job: job_localrunner_0001
12/05/23 19:41:37 ERROR bsp.LocalBSPRunner: Exception during BSP execution!
java.io.IOException: org.apache.hama.graph.VertexWritable@78092b6f read 42 bytes, should read
49
	at org.apache.hadoop.io.SequenceFile$Reader.next(SequenceFile.java:2129)
	at org.apache.hama.bsp.SequenceFileRecordReader.next(SequenceFileRecordReader.java:82)
	at org.apache.hama.bsp.TrackedRecordReader.moveToNext(TrackedRecordReader.java:60)
	at org.apache.hama.bsp.TrackedRecordReader.next(TrackedRecordReader.java:46)
	at org.apache.hama.bsp.BSPPeerImpl.readNext(BSPPeerImpl.java:495)
	at org.apache.hama.graph.GraphJobRunner.loadVertices(GraphJobRunner.java:395)
{noformat}

I fix this in HAMA-580.
                
> 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
>         Attachments: HAMA-531_1.patch, HAMA-531_2.patch, HAMA-531_final.patch
>
>
> 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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