[jira] [Updated] (MAPREDUCE-4049) plugin for generic shuffle service

["Avner BenHanoch (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAPREDUCE-4049?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Avner BenHanoch updated MAPREDUCE-4049:
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    Attachment: HADOOP-1.x.y-review-oriented.patch

This patch replaces all my previous patches.  It is written in order to ease code review, by doing just the minimal changes in existing code.   *I believe anyone can verify this patch at glance!*

(my old patches included design enhancements by moving plugins' shared code out of ReduceCopier into plugins' base class, and by making ReduceCopier a standalone class instead of being inner class of ReduceTask).

                
> plugin for generic shuffle service
> ----------------------------------
>
>                 Key: MAPREDUCE-4049
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4049
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: performance, task, tasktracker
>    Affects Versions: 1.0.3, 1.1.0, 2.0.0-alpha, 3.0.0
>            Reporter: Avner BenHanoch
>              Labels: merge, plugin, rdma, shuffle
>         Attachments: HADOOP-1.0.2.patch, HADOOP-1.0.x.patch, HADOOP-1.1.patch, HADOOP-1.x.y-review-oriented.patch, Hadoop Shuffle Consumer Plugin TLD.rtf, Hadoop Shuffle Provider Plugin TLD.rtf, mapred-site.xml
>
>
> 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)

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