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https://issues.apache.org/jira/browse/HIVE-7327?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xuefu Zhang updated HIVE-7327:
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Summary: Refactoring: make Hive map side data processing reusable (was:
Refactoring: Make Hive map side data processing reusable)
> Refactoring: make Hive map side data processing reusable
> --------------------------------------------------------
>
> 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
>
> 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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