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Posted to dev@hive.apache.org by "Xuefu Zhang (JIRA)" <ji...@apache.org> on 2014/07/02 20:41:27 UTC

[jira] [Created] (HIVE-7328) Refactoring: make Hive reduce side data processing reusable

Xuefu Zhang created HIVE-7328:
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             Summary: 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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