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

["Alejandro Abdelnur (JIRA)" <ji...@apache.org>]

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

Alejandro Abdelnur resolved MAPREDUCE-4049.
-------------------------------------------

    Resolution: Fixed

Chris thanks for taking a look at these JIRAs.

Withdrawing my -1. I'm OK with doing necessary tweaks in follow up JIRAs.

I'd suggest we merge MAPREDUCE-4809 and MAPREDUCE-4807 to trunk. Then we can do the incremental work for MAPREDUCE-4812 and MAPREDUCE-4808 in trunk as well.

Arun, is that OK with you?
                
> 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.patch, mapreduce-4049.patch, mapreduce-4049.patch, mapreduce-4049.patch, mapreduce-4049.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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