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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (HIVE-7328) Refactoring: make Hive reduce side data processing reusable
Date Wed, 30 Jul 2014 09:52:38 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang resolved HIVE-7328.
-------------------------------

    Resolution: Won't Fix

Closed as "will not fix". Will reopen if need comes back.

> Refactoring: make Hive reduce side data processing reusable
> -----------------------------------------------------------
>
>                 Key: HIVE-7328
>                 URL: https://issues.apache.org/jira/browse/HIVE-7328
>             Project: Hive
>          Issue Type: Sub-task
>    Affects Versions: 0.13.0
>            Reporter: Xuefu Zhang
>            Assignee: Xuefu Zhang
>
> ExecReducer is Hive's reducer implementation for MapReduce. Table rows are shuffled by
MR framework to ExecReducer and further processed by ExecReducer.reduce() method, which invokes
Hive's reduce-side operator tree starting. This task is to extract the reduce-side data processing
offered by the operator tree so that it can be reused by other execution engine such as Spark.
This is purely refactoring the existing code.



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