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From "Andrew Purtell (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HBASE-1410) compactions are not memory efficient
Date Tue, 12 May 2009 18:30:47 GMT

     [ https://issues.apache.org/jira/browse/HBASE-1410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Andrew Purtell updated HBASE-1410:
----------------------------------

    Description: Compactions read a lot of data into the heap. Prior to HBASE-1058 or successor
issues, it was possible to stack up hundreds if not thousands of flushes in a store. Eventually
when compaction is possible, no HRS has enough heap to commit for the compaction process and
all OOME as the region in question is (re)deployed. HBASE-1058 is not the ideal solution.This
issue suggests creating a memory efficient compaction process which can scale.   (was: Compactions
read a lot of data into the heap. Prior to HBASE-1058 or successor issues, it was possible
to stack up hundreds if not thousands of flushes in a store. Eventually when compaction is
possible, no HRS has enough heap to commit for the compaction process and all OOME as the
region in question is (re)deployed. )

> compactions are not memory efficient 
> -------------------------------------
>
>                 Key: HBASE-1410
>                 URL: https://issues.apache.org/jira/browse/HBASE-1410
>             Project: Hadoop HBase
>          Issue Type: Improvement
>            Reporter: Andrew Purtell
>             Fix For: 0.20.0
>
>
> Compactions read a lot of data into the heap. Prior to HBASE-1058 or successor issues,
it was possible to stack up hundreds if not thousands of flushes in a store. Eventually when
compaction is possible, no HRS has enough heap to commit for the compaction process and all
OOME as the region in question is (re)deployed. HBASE-1058 is not the ideal solution.This
issue suggests creating a memory efficient compaction process which can scale. 

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