[jira] Assigned: (HAMA-133) To reduce disk I/O operations, Remove 'reduce phase' from blocking_mapred

["Edward J. Yoon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HAMA-133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Edward J. Yoon reassigned HAMA-133:
-----------------------------------

    Assignee: Edward J. Yoon

> To reduce disk I/O operations, Remove 'reduce phase' from blocking_mapred
> -------------------------------------------------------------------------
>
>                 Key: HAMA-133
>                 URL: https://issues.apache.org/jira/browse/HAMA-133
>             Project: Hama
>          Issue Type: Sub-task
>          Components: implementation
>    Affects Versions: 0.1.0
>            Reporter: Edward J. Yoon
>            Assignee: Edward J. Yoon
>             Fix For: 0.1.0
>
>
> > If we remove 'reduce phase', I guess we can reduce the disk I/O operations.
> Yes.
> >
> >
> > In the map, read { Constants.BLOCK_STARTROW, Constants.BLOCK_ENDROW,
> > Constants.BLOCK_STARTCOLUMN, Constants.BLOCK_ENDCOLUMN } instead of {
> > Constants.COLUMN }, and write directly blocks.
> Two methods to be considered:
> 1) We need a InputFormat that partitions the matrix table according to the
> row boundaries of the blocks.
>    This should be carefully to make sure a single block will not divied
> into two or more mappers.
> 2) Like what RandomMatrixMap does, we just tell the mappers the row/column
> boundaries of the blocks of a matrix-table.
>    Scanner the portion of the table will be done in a mapper.
> I think 1) may be better than 2).
> An InputFormat can get the locality of a range of table to let MR know how
> to move the mr computations close to it.
> In 2), if we do it like RandomMatrixMap, we may lose some locality
> informations of the table. so that the network transfer overhead may be
> increase.
> It is just my guess and thoughts.

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