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https://issues.apache.org/jira/browse/HIVE-7675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chengxiang Li resolved HIVE-7675.
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Resolution: Fixed
> Implement native HiveMapFunction
> --------------------------------
>
> 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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