[jira] [Updated] (HIVE-7675) Implement native HiveMapFunction [Spark Branch]

["Brock Noland (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HIVE-7675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Brock Noland updated HIVE-7675:
-------------------------------

    Summary: Implement native HiveMapFunction [Spark Branch]  (was: Implement native HiveMapFunction)

> Implement native HiveMapFunction [Spark Branch]
> -----------------------------------------------
>
>                 Key: HIVE-7675
>                 URL: https://issues.apache.org/jira/browse/HIVE-7675
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Chengxiang Li
>            Assignee: Chengxiang Li
>
> Currently, Hive on Spark depend on ExecMapper to execute operator logic, full stack is like: Spark FrameWork=>HiveMapFunction=>ExecMapper=>Hive operators. HiveMapFunction is just a thin wrapper of ExecMapper, this introduce several problems as following:
> # ExecMapper is designed for MR single process task mode, it does not work well under Spark multi-thread task node.
> # ExecMapper introduce extra API level restriction and process logic.
> We need implement native HiveMapFunction, as the bridge between Spark framework and Hive operators.



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