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From "Todd Lipcon (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAPREDUCE-967) TaskTracker does not need to fully unjar job jars
Date Wed, 23 Sep 2009 18:09:16 GMT

    [ https://issues.apache.org/jira/browse/MAPREDUCE-967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12758807#action_12758807
] 

Todd Lipcon commented on MAPREDUCE-967:
---------------------------------------

bq. Please also make sure the new class in mapreduce is in org.apache.hadoop.mapreduce.util
and create a deprecate class in org.apache.hadoop.util which uses functionality from org.apache.hadoop.mapreduce.util.RunJar.

Can we do a real dependency in this direction or do I have to use reflection to cross the
project boundary? I was under the impression that cyclic dependencies were bad.

I can certainly mark the existing implementation as Deprecated, but keep the implementation
there. Then I can add a non-deprecated shim class in mapreduce.util to wrap the old version
with deprecation warnings supressed. We can then do the move for reals next version.

Sound good?

> TaskTracker does not need to fully unjar job jars
> -------------------------------------------------
>
>                 Key: MAPREDUCE-967
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-967
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: tasktracker
>    Affects Versions: 0.21.0
>            Reporter: Todd Lipcon
>            Assignee: Todd Lipcon
>         Attachments: mapreduce-967-branch-0.20.txt
>
>
> In practice we have seen some users submitting job jars that consist of 10,000+ classes.
Unpacking these jars into mapred.local.dir and then cleaning up after them has a significant
cost (both in wall clock and in unnecessary heavy disk utilization). This cost can be easily
avoided

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