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Posted to dev@hive.apache.org by "Xuefu Zhang (JIRA)" <ji...@apache.org> on 2014/07/30 11:52:38 UTC
[jira] [Resolved] (HIVE-7328) Refactoring: make Hive reduce side
data processing reusable
[ 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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