[jira] [Created] (HIVE-8118) SparkMapRecorderHandler and SparkReduceRecordHandler should be initialized with multiple result collectors[Spark Branch]

["Xuefu Zhang (JIRA)" <ji...@apache.org>]

Xuefu Zhang created HIVE-8118:
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             Summary: SparkMapRecorderHandler and SparkReduceRecordHandler should be initialized with multiple result collectors[Spark Branch]
                 Key: HIVE-8118
                 URL: https://issues.apache.org/jira/browse/HIVE-8118
             Project: Hive
          Issue Type: Bug
          Components: Spark
            Reporter: Xuefu Zhang


In the current implementation, both SparkMapRecordHandler and SparkReduceRecorderHandler takes only one result collector, which limits that the corresponding map or reduce task can have only one child. It's very comment in multi-insert queries where a map/reduce task has more than one children. A query like the following has two map tasks as parents:

{code}
select name, sum(value) from dec group by name union all select name, value from dec order by name
{code}

It's possible in the future an optimation may be implemented so that a map work is followed by two reduce works and then connected to a union work.

Thus, we should accommodate this. Tez is currently providing a collector for each child operator in the map-side or reduce side operator tree.

Likely this is a big change. With this, we can have a simpler and clean multi-insert implementation.

This is also the problem observed in HIVE-7731.



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