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From "Olga Natkovich (JIRA)" <j...@apache.org>
Subject [jira] Updated: (PIG-872) use distributed cache for the replicated data set in FR join
Date Mon, 23 Nov 2009 22:01:39 GMT

     [ https://issues.apache.org/jira/browse/PIG-872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Olga Natkovich updated PIG-872:
-------------------------------

       Resolution: Fixed
    Fix Version/s: 0.7.0
           Status: Resolved  (was: Patch Available)

Patch committed. Thanks Sri for contributing.

(The patch did not need additional unit tests because it is improvement of the existing functionality
and the current tests are sufficient. Also, there is no programatic way to test this change
and manual testing has been deployed.)

> use distributed cache for the replicated data set in FR join
> ------------------------------------------------------------
>
>                 Key: PIG-872
>                 URL: https://issues.apache.org/jira/browse/PIG-872
>             Project: Pig
>          Issue Type: Improvement
>            Reporter: Olga Natkovich
>            Assignee: Sriranjan Manjunath
>             Fix For: 0.7.0
>
>         Attachments: PIG_872.patch.1
>
>
> Currently, the replicated file is read directly from DFS by all maps. If the number of
the concurrent maps is huge, we can overwhelm the NameNode with open calls.
> Using distributed cache will address the issue and might also give a performance boost
since the file will be copied locally once and the reused by all tasks running on the same
machine.
> The basic approach would be to use cacheArchive to place the file into the cache on the
frontend and on the backend, the tasks would need to refer to the data using path from the
cache.
> Note that cacheArchive does not work in Hadoop local mode. (Not a problem for us right
now as we don't use it.)

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