[ https://issues.apache.org/jira/browse/HIVE-7675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Chengxiang Li reassigned HIVE-7675: ----------------------------------- Assignee: Chengxiang Li > 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. -- This message was sent by Atlassian JIRA (v6.2#6252)