[jira] [Created] (SPARK-12978) Skip unnecessary final group-by when input data already clustered with group-by keys

["Takeshi Yamamuro (JIRA)" <ji...@apache.org>]

Takeshi Yamamuro created SPARK-12978:
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             Summary: Skip unnecessary final group-by when input data already clustered with group-by keys
                 Key: SPARK-12978
                 URL: https://issues.apache.org/jira/browse/SPARK-12978
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 1.6.0
            Reporter: Takeshi Yamamuro


This pr enables the optimization below;

Without opt.:
####
== Physical Plan ==
TungstenAggregate(key=[col0#159], functions=[(sum(col1#160),mode=Final,isDistinct=false),(avg(col2#161),mode=Final,isDistinct=false)], output=[col0#159,sum(col1)#177,avg(col2)#178])
+- TungstenAggregate(key=[col0#159], functions=[(sum(col1#160),mode=Partial,isDistinct=false),(avg(col2#161),mode=Partial,isDistinct=false)], output=[col0#159,sum#200,sum#201,count#202L])
   +- TungstenExchange hashpartitioning(col0#159,200), None
      +- InMemoryColumnarTableScan [col0#159,col1#160,col2#161], InMemoryRelation [col0#159,col1#160,col2#161], true, 10000, StorageLevel(true, true, false, true, 1), ConvertToUnsafe, None

With opt.:
####
== Physical Plan ==
TungstenAggregate(key=[col0#159], functions=[(sum(col1#160),mode=Complete,isDistinct=false),(avg(col2#161),mode=Final,isDistinct=false)], output=[col0#159,sum(col1)#177,avg(col2)#178])
+- TungstenExchange hashpartitioning(col0#159,200), None
  +- InMemoryColumnarTableScan [col0#159,col1#160,col2#161], InMemoryRelation [col0#159,col1#160,col2#161], true, 10000, StorageLevel(true, true, false, true, 1), ConvertToUnsafe, None




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