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https://issues.apache.org/jira/browse/MAPREDUCE-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12898376#action_12898376
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Joydeep Sen Sarma commented on MAPREDUCE-1901:
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> if the jar changed resulting in different tasks of the same job getting 
> different data rendering debugging impossible!

prior to security related functionality (and even with it if the user is 
capricious enough) - i think this was very much possible. the only contract 
that the TT's seem to follow today is that the launched task sees the latest 
possible version of a required resource (jar/file etc.). there's no contract 
that says that each task sees identical version of each resource. the mtime 
check only seems to reinforce this notion - that resources could be changing 
underneath as the job is running.

that said - there will likely be security holes in our current scheme. we will 
post a spec and trunk patch by sometime later today (or weekend) hopefully.

> Jobs should not submit the same jar files over and over again
> -------------------------------------------------------------
>
>                 Key: MAPREDUCE-1901
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1901
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>            Reporter: Joydeep Sen Sarma
>         Attachments: 1901.PATCH
>
>
> Currently each Hadoop job uploads the required resources 
> (jars/files/archives) to a new location in HDFS. Map-reduce nodes involved in 
> executing this job would then download these resources into local disk.
> In an environment where most of the users are using a standard set of jars 
> and files (because they are using a framework like Hive/Pig) - the same jars 
> keep getting uploaded and downloaded repeatedly. The overhead of this 
> protocol (primarily in terms of end-user latency) is significant when:
> - the jobs are small (and conversantly - large in number)
> - Namenode is under load (meaning hdfs latencies are high and made worse, in 
> part, by this protocol)
> Hadoop should provide a way for jobs in a cooperative environment to not 
> submit the same files over and again. Identifying and caching execution 
> resources by a content signature (md5/sha) would be a good alternative to 
> have available.

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