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From "Xuefu Zhang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-7327) Refactoring: make Hive map side data processing reusable [Spark Branch]
Date Fri, 05 Sep 2014 23:41:28 GMT

     [ https://issues.apache.org/jira/browse/HIVE-7327?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xuefu Zhang updated HIVE-7327:
------------------------------
    Labels: Spark-M1  (was: )

> Refactoring: make Hive map side data processing reusable [Spark Branch]
> -----------------------------------------------------------------------
>
>                 Key: HIVE-7327
>                 URL: https://issues.apache.org/jira/browse/HIVE-7327
>             Project: Hive
>          Issue Type: Sub-task
>    Affects Versions: 0.13.0
>            Reporter: Xuefu Zhang
>            Assignee: Xuefu Zhang
>              Labels: Spark-M1
>
> ExecMapper is Hive's mapper implementation for MapReduce. Table rows are read by MR framework
and processed by ExecMapper.map() method, which invokes Hive's map-side operator tree starting
from MapOperator. This task is to extract the map-side data processing offered by the operator
tree so that it can be used by other execution engine such as Spark. This is purely refactoring
the existing code.



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