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https://issues.apache.org/jira/browse/HIVE-4838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13726791#comment-13726791
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Ashutosh Chauhan commented on HIVE-4838:
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Yeah I misunderstood that piece. Another question : I see that you have
improved memory handling. But I am confused why do we need to monitor memory
usage here anyway? This predate your patch so question here really is do we
need memory handler here? It seems it was put in place so that we can
proactively kill local task before it throws OOM. But since MapRedLocalTask
anyways catches OOM exception, it seems like even if local task didnt kill
itself before OOM'ing, we should be fine since MapRedLocalTask will take care
of OOM exception.
> Refactor MapJoin HashMap code to improve testability and readability
> --------------------------------------------------------------------
>
> Key: HIVE-4838
> URL: https://issues.apache.org/jira/browse/HIVE-4838
> Project: Hive
> Issue Type: Bug
> Reporter: Brock Noland
> Assignee: Brock Noland
> Attachments: HIVE-4838.patch, HIVE-4838.patch, HIVE-4838.patch,
> HIVE-4838.patch, HIVE-4838.patch
>
>
> MapJoin is an essential component for high performance joins in Hive and the
> current code has done great service for many years. However, the code is
> showing it's age and currently suffers from the following issues:
> * Uses static state via the MapJoinMetaData class to pass serialization
> metadata to the Key, Row classes.
> * The api of a logical "Table Container" is not defined and therefore it's
> unclear what apis HashMapWrapper
> needs to publicize. Additionally HashMapWrapper has many used public methods.
> * HashMapWrapper contains logic to serialize, test memory bounds, and
> implement the table container. Ideally these logical units could be seperated
> * HashTableSinkObjectCtx has unused fields and unused methods
> * CommonJoinOperator and children use ArrayList on left hand side when only
> List is required
> * There are unused classes MRU, DCLLItemm and classes which duplicate
> functionality MapJoinSingleKey and MapJoinDoubleKeys
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