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From "Hyunsik Choi (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (GIRAPH-12) Investigate communication improvements
Date Thu, 29 Sep 2011 02:16:45 GMT

    [ https://issues.apache.org/jira/browse/GIRAPH-12?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13116960#comment-13116960
] 

Hyunsik Choi commented on GIRAPH-12:
------------------------------------

Dmitriy,

Thank you for your comments. Regardless of the problem caused by thread stack size, those
approaches look promising. Especially, spilling messages to disk looks necessary so that Giraph
deals with really large graph data. Otherwise, out of memory may occur when the message generating
rate are higher than network bandwidth. I'll open a separate issue about this.
                
> Investigate communication improvements
> --------------------------------------
>
>                 Key: GIRAPH-12
>                 URL: https://issues.apache.org/jira/browse/GIRAPH-12
>             Project: Giraph
>          Issue Type: Improvement
>          Components: bsp
>            Reporter: Avery Ching
>            Assignee: Hyunsik Choi
>            Priority: Minor
>         Attachments: GIRAPH-12_1.patch, GIRAPH-12_2.patch
>
>
> Currently every worker will start up a thread to communicate with every other workers.
 Hadoop RPC is used for communication.  For instance if there are 400 workers, each worker
will create 400 threads.  This ends up using a lot of memory, even with the option  
> -Dmapred.child.java.opts="-Xss64k".  
> It would be good to investigate using frameworks like Netty or custom roll our own to
improve this situation.  By moving away from Hadoop RPC, we would also make compatibility
of different Hadoop versions easier.

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