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Posted to dev@hive.apache.org by "Xuefu Zhang (JIRA)" <ji...@apache.org> on 2014/07/24 20:30:40 UTC

[jira] [Created] (HIVE-7503) Support Hive's multi-table insert query with Spark

Xuefu Zhang created HIVE-7503:
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             Summary: Support Hive's multi-table insert query with Spark
                 Key: HIVE-7503
                 URL: https://issues.apache.org/jira/browse/HIVE-7503
             Project: Hive
          Issue Type: Sub-task
          Components: Spark
            Reporter: Xuefu Zhang


For Hive's multi insert query (https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML), there may be an MR job for each insert.  When we achieve this with Spark, it would be nice if all the inserts can happen concurrently.

It seems that this functionality isn't available in Spark. To make things worse, the source of the insert may be re-computed unless it's staged. Even with this, the inserts will happen sequentially, making the performance suffer.

This task is to find out what takes in Spark to enable this without requiring staging the source and sequential insertion. If this has to be solved in Hive, find out an optimum way to do this.



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