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https://issues.apache.org/jira/browse/HIVE-7328?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14077694#comment-14077694
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Xuefu Zhang commented on HIVE-7328:
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It seems it's easier to use ExecReducer directly than any refactoring. Postpone
this item for now for later consideration.
> 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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