Github user hvanhovell commented on a diff in the pull request:
https://github.com/apache/spark/pull/9429#discussion_r43724216
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
---
@@ -205,45 +205,30 @@ class Analyzer(
GroupingSets(bitmasks(a), a.groupByExprs, a.child, a.aggregations)
case x: GroupingSets =>
val gid = AttributeReference(VirtualColumn.groupingIdName,
IntegerType, false)()
- // We will insert another Projection if the GROUP BY keys contains
the
- // non-attribute expressions. And the top operators can references
those
- // expressions by its alias.
- // e.g. SELECT key%5 as c1 FROM src GROUP BY key%5 ==>
- // SELECT a as c1 FROM (SELECT key%5 AS a FROM src) GROUP BY a
-
- // find all of the non-attribute expressions in the GROUP BY keys
- val nonAttributeGroupByExpressions = new ArrayBuffer[Alias]()
-
- // The pair of (the original GROUP BY key, associated attribute)
- val groupByExprPairs = x.groupByExprs.map(_ match {
- case e: NamedExpression => (e, e.toAttribute)
- case other => {
- val alias = Alias(other, other.toString)()
- nonAttributeGroupByExpressions += alias // add the
non-attributes expression alias
- (other, alias.toAttribute)
- }
- })
- // substitute the non-attribute expressions for aggregations.
- val aggregation = x.aggregations.map(expr => expr.transformDown {
- case e =>
groupByExprPairs.find(_._1.semanticEquals(e)).map(_._2).getOrElse(e)
- }.asInstanceOf[NamedExpression])
+ val aliasedGroupByExprPairs = x.groupByExprs.map{
+ case a @ Alias(expr, _) => (expr, a)
+ case expr: NamedExpression => (expr, Alias(expr, expr.name)())
--- End diff --
You could also use ```expr.toAttribute``` for a ```NamedExpression```
instead of creating an Alias.
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