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https://issues.apache.org/jira/browse/HIVE-4421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Phabricator updated HIVE-4421:
------------------------------

    Attachment: HIVE-4421.D10545.3.patch

omalley updated the revision "HIVE-4421 [jira] Improve memory usage by ORC 
dictionaries".

  I've updated the TestOrcFile unit test to reflect the changes.

Reviewers: JIRA

REVISION DETAIL
  https://reviews.facebook.net/D10545

CHANGE SINCE LAST DIFF
  https://reviews.facebook.net/D10545?vs=33201&id=33219#toc

AFFECTED FILES
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/DynamicByteArray.java
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/DynamicIntArray.java
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/MemoryManager.java
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/OutStream.java
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/PositionedOutputStream.java
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/RedBlackTree.java
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/StringRedBlackTree.java
  ql/src/java/org/apache/hadoop/hive/ql/io/orc/WriterImpl.java
  ql/src/test/org/apache/hadoop/hive/ql/io/orc/TestMemoryManager.java
  ql/src/test/org/apache/hadoop/hive/ql/io/orc/TestOrcFile.java
  ql/src/test/org/apache/hadoop/hive/ql/io/orc/TestStringRedBlackTree.java
  ql/src/test/resources/orc-file-dump.out

To: JIRA, omalley

                
> 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: 0.11.0
>
>         Attachments: HIVE-4421.D10545.1.patch, HIVE-4421.D10545.2.patch, 
> HIVE-4421.D10545.3.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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