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From "Doug Cutting (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-1338) Improve the shuffle phase by using the "connection: keep-alive" and doing batch transfers of files
Date Tue, 08 May 2007 18:16:15 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-1338?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12494360
] 

Doug Cutting commented on HADOOP-1338:
--------------------------------------

What's the motivation for more than one wave of reduces?  Typically applications are better
served by fewer output files, so that can't be it.  Is it to decrease the granularity of each
reduce, so that, in the case of reduce failures, job latency is reduced?

> Improve the shuffle phase by using the "connection: keep-alive" and doing batch transfers
of files
> --------------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-1338
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1338
>             Project: Hadoop
>          Issue Type: Improvement
>          Components: mapred
>            Reporter: Devaraj Das
>             Fix For: 0.14.0
>
>
> We should do transfers of map outputs at the granularity of  *total-bytes-transferred*
rather than the current way of transferring a single file and then closing the connection
to the server. A single TaskTracker might have a couple of map output files for a given reduce,
and we should transfer multiple of them (upto a certain total size) in a single connection
to the TaskTracker. Using HTTP-1.1's keep-alive connection would help since it would keep
the connection open for more than one file transfer. We should limit the transfers to a certain
size so that we don't hold up a jetty thread indefinitely (and cause timeouts for other clients).
> Overall, this should give us improved performance.

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