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https://issues.apache.org/jira/browse/HIVE-7328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Brock Noland updated HIVE-7328:
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Summary: Refactoring: make Hive reduce side data processing reusable [Spark
Branch] (was: Refactoring: make Hive reduce side data processing reusable)
> Refactoring: make Hive reduce side data processing reusable [Spark Branch]
> --------------------------------------------------------------------------
>
> 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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