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Date: Wed, 16 Jan 2013 21:52:17 +0000 (UTC)
From: "Alejandro Abdelnur (JIRA)" <jira@apache.org>
To: mapreduce-issues@hadoop.apache.org
Message-ID: <JIRA.12547370.1332332345265.148017.1358373137458@arcas>
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Subject: [jira] [Commented] (MAPREDUCE-4049) plugin for generic shuffle
 service
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    [ https://issues.apache.org/jira/browse/MAPREDUCE-4049?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13555503#comment-13555503 ] 

Alejandro Abdelnur commented on MAPREDUCE-4049:
-----------------------------------------------

Forgot one thing in my prev comment. This is a question for committers, are allowing the addition of new features to Hadoop 1? I'm OK with it, but we should have a clear stance on it.
                
> plugin for generic shuffle service
> ----------------------------------
>
>                 Key: MAPREDUCE-4049
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4049
>             Project: Hadoop Map/Reduce
>          Issue Type: Sub-task
>          Components: performance, task, tasktracker
>    Affects Versions: 1.0.3, 1.1.0, 2.0.0-alpha, 3.0.0
>            Reporter: Avner BenHanoch
>            Assignee: Avner BenHanoch
>              Labels: merge, plugin, rdma, shuffle
>             Fix For: 3.0.0
>
>         Attachments: HADOOP-1.x.y.patch, Hadoop Shuffle Plugin Design.rtf, MAPREDUCE-4049--branch-1.patch, mapreduce-4049.patch
>
>
> Support generic shuffle service as set of two plugins: ShuffleProvider & ShuffleConsumer.
> This will satisfy the following needs:
> # Better shuffle and merge performance. For example: we are working on shuffle plugin that performs shuffle over RDMA in fast networks (10gE, 40gE, or Infiniband) instead of using the current HTTP shuffle. Based on the fast RDMA shuffle, the plugin can also utilize a suitable merge approach during the intermediate merges. Hence, getting much better performance.
> # Satisfy MAPREDUCE-3060 - generic shuffle service for avoiding hidden dependency of NodeManager with a specific version of mapreduce shuffle (currently targeted to 0.24.0).
> References:
> # Hadoop Acceleration through Network Levitated Merging, by Prof. Weikuan Yu from Auburn University with others, [http://pasl.eng.auburn.edu/pubs/sc11-netlev.pdf]
> # I am attaching 2 documents with suggested Top Level Design for both plugins (currently, based on 1.0 branch)
> # I am providing link for downloading UDA - Mellanox's open source plugin that implements generic shuffle service using RDMA and levitated merge.  Note: At this phase, the code is in C++ through JNI and you should consider it as beta only.  Still, it can serve anyone that wants to implement or contribute to levitated merge. (Please be advised that levitated merge is mostly suit in very fast networks) - [http://www.mellanox.com/content/pages.php?pg=products_dyn&product_family=144&menu_section=69]

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