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https://issues.apache.org/jira/browse/HADOOP-1985?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Devaraj Das updated HADOOP-1985:
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    Status: Open  (was: Patch Available)

core-tests seems to have failed. But I am not able to get to what failed using 
the link 
http://lucene.zones.apache.org:8080/hudson/job/Hadoop-Patch/1648/testReport/ . 
Also, tests passed on my machine. Cancelling patch to get it through hudson 
again..

> Abstract node to switch mapping into a topology service class used by 
> namenode and jobtracker
> ---------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-1985
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1985
>             Project: Hadoop
>          Issue Type: New Feature
>          Components: dfs, mapred
>            Reporter: eric baldeschwieler
>            Assignee: Devaraj Das
>             Fix For: 0.16.0
>
>         Attachments: 1985.new.patch, 1985.v1.patch, 1985.v2.patch, 
> 1985.v3.patch, 1985.v4.patch, 1985.v5.patch, 1985.v6.patch, 1985.v9.patch, 
> jobinprogress.patch
>
>
> In order to implement switch locality in MapReduce, we need to have switch 
> location in both the namenode and job tracker.  Currently the namenode asks 
> the data nodes for this info and they run a local script to answer this 
> question.  In our environment and others that I know of there is no reason to 
> push this to each node.  It is easier to maintain a centralized script that 
> maps node DNS names to switch strings.
> I propose that we build a new class that caches known DNS name to switch 
> mappings and invokes a loadable class or a configurable system call to 
> resolve unknown DNS to switch mappings.  We can then add this to the namenode 
> to support the current block to switch mapping needs and simplify the data 
> nodes.  We can also add this same callout to the job tracker and then 
> implement rack locality logic there without needing to chane the filesystem 
> API or the split planning API.
> Not only is this the least intrusive path to building racklocal MR I can ID, 
> it is also future compatible to future infrastructures that may derive 
> topology on the fly, etc, etc...

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