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Posted to dev@hive.apache.org by "Chengxiang Li (JIRA)" <ji...@apache.org> on 2014/08/11 08:31:13 UTC
[jira] [Updated] (HIVE-7675) Implement native HiveMapFunction
[ https://issues.apache.org/jira/browse/HIVE-7675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chengxiang Li updated HIVE-7675:
--------------------------------
Issue Type: Sub-task (was: New Feature)
Parent: HIVE-7292
> 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
>
> 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.
> We need implement native HiveMapFunction, as the bridge between Spark framework and Hive operators.
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