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Posted to mapreduce-issues@hadoop.apache.org by "Koji Noguchi (JIRA)" <ji...@apache.org> on 2010/08/12 18:52:23 UTC
[jira] Commented: (MAPREDUCE-1901) Jobs should not submit the same
jar files over and over again
[ https://issues.apache.org/jira/browse/MAPREDUCE-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12897833#action_12897833 ]
Koji Noguchi commented on MAPREDUCE-1901:
-----------------------------------------
bq. we have started testing this patch internally and this would become production in a couple of weeks.
Joydeep, is this being tested on your production? How does the load look like?
I don't know the details, but I like the "part of the goal here is to not have to look up mtimes again and again. " part.
We certainly have applications with many small tasks having multiple libjar/distributed-caches resulting with too many getfileinfo calls to the namenode.
> 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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