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https://issues.apache.org/jira/browse/MAPREDUCE-3131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13123885#comment-13123885
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Arun C Murthy commented on MAPREDUCE-3131:
------------------------------------------

bq. Why do we need more than one datanode and nodeManager in a single node 
setup.?

Prashanth - we already have docs/scripts for running all of Hadoop on a single 
cluster - they are the standard bin/hdfs & bin/yarn scripts.

----

Now, one possible enhancement is to go through the default values of configs 
and check which ones cause it to not work properly on a single node *out of the 
box*.

If there is none, we declare victory.

If there are some we cannot make default (for e.g. they break tests etc.) we 
can then check in a conf/singlenode-hdfs-site.xml and 
conf/singlenode-yarn-site.xml.

----

Another enhancement is to check in configs & scripts with which people can run 
multiple DataNodes/NodeManagers on a single node so that folks get a feel for a 
'real' cluster on a single machine to test/develop/experience.

----

I'm happy to have you do either or both of the above.

However, checking in another set of scripts to run a single node install with 1 
NN/DN/RM/NN is just a maintenance overhead.

Makes sense?
                
> Docs and Scripts for setting up single node MRV2 cluster. 
> ----------------------------------------------------------
>
>                 Key: MAPREDUCE-3131
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-3131
>             Project: Hadoop Map/Reduce
>          Issue Type: Sub-task
>          Components: documentation, mrv2
>    Affects Versions: 0.24.0
>            Reporter: Prashant Sharma
>            Assignee: Prashant Sharma
>            Priority: Trivial
>              Labels: documentation, hadoop
>             Fix For: 0.24.0
>
>         Attachments: MAPREDUCE-3131.patch, MAPREDUCE-3131.patch
>
>   Original Estimate: 168h
>          Time Spent: 48h
>  Remaining Estimate: 120h
>
> Scripts to run a single node cluster with a default configuration. Takes care 
> of running all the daemons including hdfs and yarn. 

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