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From "Liyin Liang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MAPREDUCE-5691) Throttle shuffle's bandwidth utilization
Date Mon, 23 Dec 2013 03:57:52 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-5691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Liyin Liang updated MAPREDUCE-5691:

    Attachment: ganglia-slave.jpg

Attach a ganglia network metics picture. The reducer utilizes all the input bandwidth. So
the throttling should go on the reducer side.

> Throttle shuffle's bandwidth utilization
> ----------------------------------------
>                 Key: MAPREDUCE-5691
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5691
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>    Affects Versions: 2.2.0
>            Reporter: Liyin Liang
>         Attachments: ganglia-slave.jpg
> In our hadoop cluster, a reducer of a big job can utilize all the bandwidth during shuffle
phase. Then any task reading data from  the machine which running that reducer becomes very
very slow.
> It's better to move DataTransferThrottler from hadoop-hdfs to hadoop-common. And create
a throttler for Shuffle to throttle each Fetcher.

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