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https://issues.apache.org/jira/browse/HIVE-4421?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13651881#comment-13651881
]
Hudson commented on HIVE-4421:
------------------------------
Integrated in Hive-trunk-h0.21 #2091 (See
[https://builds.apache.org/job/Hive-trunk-h0.21/2091/])
HIVE-4421 : Improve memory usage by ORC dictionaries (Owen Omalley via
Ashutosh Chauhan) (Revision 1480159)
Result = FAILURE
hashutosh :
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1480159
Files :
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/DynamicByteArray.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/DynamicIntArray.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/MemoryManager.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/OutStream.java
*
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/PositionedOutputStream.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/RedBlackTree.java
*
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/StringRedBlackTree.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/io/orc/WriterImpl.java
*
/hive/trunk/ql/src/test/org/apache/hadoop/hive/ql/io/orc/TestMemoryManager.java
* /hive/trunk/ql/src/test/org/apache/hadoop/hive/ql/io/orc/TestOrcFile.java
*
/hive/trunk/ql/src/test/org/apache/hadoop/hive/ql/io/orc/TestStringRedBlackTree.java
* /hive/trunk/ql/src/test/resources/orc-file-dump.out
> Improve memory usage by ORC dictionaries
> ----------------------------------------
>
> Key: HIVE-4421
> URL: https://issues.apache.org/jira/browse/HIVE-4421
> Project: Hive
> Issue Type: Bug
> Components: Serializers/Deserializers
> Reporter: Owen O'Malley
> Assignee: Owen O'Malley
> Fix For: 0.12.0
>
> Attachments: HIVE-4421.D10545.1.patch, HIVE-4421.D10545.2.patch,
> HIVE-4421.D10545.3.patch, HIVE-4421.D10545.4.patch
>
>
> Currently, for tables with many string columns, it is possible to
> significantly underestimate the memory used by the ORC dictionaries and cause
> the query to run out of memory in the task.
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