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https://issues.apache.org/jira/browse/HBASE-3019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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stack resolved HBASE-3019.
--------------------------

     Hadoop Flags: [Reviewed]
         Assignee: stack
    Fix Version/s: 0.90.0
       Resolution: Fixed

Committed.  Thanks for review Jon and Ted.

> Make bulk assignment on cluster startup run faster
> --------------------------------------------------
>
>                 Key: HBASE-3019
>                 URL: https://issues.apache.org/jira/browse/HBASE-3019
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: stack
>            Assignee: stack
>             Fix For: 0.90.0
>
>         Attachments: bulk-v4.txt, bulk-v7.txt
>
>
> Currently, as of HBASE-3018, we come up with a bulk assignment plan that is 
> sorted by server.  We then spawn a thread to assign out the regions per 
> server so we are assigning in parallel.  This works but is still slow enough 
> (It looks to be slower than the old assignment where we'd do lumps of N 
> regions at a time).  We should be able to pass a regionserver all the regions 
> to open in one RPC.  We need to figure how to keep up zk state while 
> regionserver is processing a big lot of regions.  This looks a little awkward 
> to do since currently open handler just opens region -- there is no notion of 
> doing a ping while waiting to run.
> Being able to start the cluster fast is important for those times we take it 
> down to do major upgrade; the longer it takes to spin up, the longer our 
> 'downtime'.

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