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From "Ted Yu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-10017) HRegionPartitioner, rows directed to last partition are wrongly mapped.
Date Tue, 26 Nov 2013 18:10:39 GMT

    [ https://issues.apache.org/jira/browse/HBASE-10017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13832819#comment-13832819
] 

Ted Yu commented on HBASE-10017:
--------------------------------

Here is the command Hadoop QA used for site generation:
{code}
  $MVN compile site -DskipTests -D${PROJECT_NAME}PatchProcess  > $PATCH_DIR/patchSiteOutput.txt
2>&1
{code}
Did it work for you ?
What OS do you use ?

On Mac, I got:
{code}
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-site-plugin:3.3:site (default-site)
on project hbase: Error during page generation: Error rendering Maven report:
[ERROR] Exit code: 1 - javadoc: error - java.lang.OutOfMemoryError: Please increase memory.
[ERROR] For example, on the Sun Classic or HotSpot VMs, add the option -J-Xmx
[ERROR] such as -J-Xmx32m.
{code}

> HRegionPartitioner, rows directed to last partition are wrongly mapped.
> -----------------------------------------------------------------------
>
>                 Key: HBASE-10017
>                 URL: https://issues.apache.org/jira/browse/HBASE-10017
>             Project: HBase
>          Issue Type: Bug
>          Components: mapreduce
>    Affects Versions: 0.94.6
>            Reporter: Roman Nikitchenko
>            Priority: Critical
>         Attachments: HBASE-10017-r1544633.patch, HBASE-10017-r1544633.patch
>
>
> Inside HRegionPartitioner class there is getPartition() method which should map first
numPartitions regions to appropriate partitions 1:1. But based on condition last region is
hashed which could lead to last reducer not having any data. This is considered serious issue.
> I reproduced this only starting from 16 regions per table. Original defect was found
in 0.94.6 but at least today's trunk and 0.91 branch head have the same HRegionPartitioner
code in this part which means the same issue.



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