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From "Andrew Purtell (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-4329) Use NextGen Hadoop to deploy HBase
Date Wed, 14 Sep 2011 03:56:08 GMT

    [ https://issues.apache.org/jira/browse/HBASE-4329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13104222#comment-13104222
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Andrew Purtell commented on HBASE-4329:
---------------------------------------

bq. I discussed this idea with Andrew at the Summit and he didn't give me the impression that
I was off my rocker

No, certainly not. With YARN, Hadoop generalizes resource management. It could well make sense
to use YARN to partition resources for HBase or other components. It may not be the only story
but it makes sense to look at certainly.

> Use NextGen Hadoop to deploy HBase
> ----------------------------------
>
>                 Key: HBASE-4329
>                 URL: https://issues.apache.org/jira/browse/HBASE-4329
>             Project: HBase
>          Issue Type: Brainstorming
>            Reporter: Arun C Murthy
>
> Currently (circa 2011), with due respect, it's not practical to run shared, multi-tenant
HBase clusters on the largest Hadoop installs (of 4000+ nodes).
> As an interim, I'd like to brainstorm using NextGen Hadoop (MAPREDUCE-279) to deploy
HBase for focussed sets of applications/users/organizations. Thus, one could deploy a smaller
instance of HBase (100s of nodes) in a large Hadoop cluster and use it for a set of applications.
> The other advantage is that the resource usage of HBase (master, region-server etc.)
is accounted for in the overall utilization of the cluster and, conceivably, aid in resource
tracking, capacity planning etc.
> ----
> Thoughts?

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