Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/9419#discussion_r43850164
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -232,7 +232,7 @@ class Analyzer(
// substitute the group by expressions.
val newGroupByExprs = groupByExprPairs.map(_._2)
--- End diff --
Hi, @chenghao-intel ,
Could you explain it a little bit more?
So far, this query is correctly processed and returned a correct result.
Since b is part of an aggregated function, the fix added extra columns for b.
Below is the generated plan:
`== Analyzed Logical Plan ==
ab: bigint
Aggregate [b#3,grouping__id#12], [sum(cast((a#2 - b#3#13) as bigint)) AS
ab#4L]
Expand [0,1], [b#3], grouping__id#12
Project [a#2,b#3,b#3 AS b#3#13]
Subquery mytable
Project [_1#0 AS a#2,_2#1 AS b#3]
LocalRelation [_1#0,_2#1], [[1,2],[2,4],[2,9]]
== Optimized Logical Plan ==
Aggregate [b#3,grouping__id#12], [sum(cast((a#2 - b#3#13) as bigint)) AS
ab#4L]
Expand [0,1], [b#3], grouping__id#12
LocalRelation [a#2,b#3,b#3#13], [[1,2,2],[2,4,4],[2,9,9]]`
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