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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:
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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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