[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: mapreduce-4049.patch

Finally, a patch for hadoop-trunk!
It is a short patch that adds *ShuffleConsumerPlugin* support to hadoop core. 
A ShuffleConsumerPlugin works either with the builtin ShuffleHandler or with 3rd party ShuffleProviders which are loaded as AuxiliaryServices.

On a separate note, please consider the following:
 * Due to hard-coded expressions in hadoop code, it currently can’t benefit from 3rd party *ShuffleProviders* .
The current TaskAttemptImpl.java code explicitly call: serviceData.put (ShuffleHandler.MAPREDUCE_SHUFFLE_SERVICEID, ...) and ignores any additional AuxiliaryService.  Hence, 3rd party AuxillaryServices can’t receive APPLICATION_INIT events.
 * I consider the above limitation is separate to the patch purpose, hence, I used a workaround in my environment and excluded it from my patch. 
Please let me know if you would like me to handle this limitation. I can approach it either through this JIRA issue, or in a separate one. I believe that this limitation should not delay this patch commit.

                
> 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.x.y.patch, Hadoop Shuffle Consumer Plugin TLD.rtf, Hadoop Shuffle Provider Plugin TLD.rtf, mapred-site.xml, 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)

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