AngersZhuuuu commented on a change in pull request #28490:
URL: https://github.com/apache/spark/pull/28490#discussion_r470555710
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
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@@ -1479,6 +1479,33 @@ class Analyzer(
// Skip the having clause here, this will be handled in
ResolveAggregateFunctions.
case h: UnresolvedHaving => h
+ case agg @ (_: Aggregate | _: GroupingSets) =>
+ val resolved = agg.mapExpressions(resolveExpressionTopDown(_, agg))
+ val hasStructField = resolved.expressions.exists {
+ _.collectFirst { case gsf: GetStructField => gsf }.isDefined
+ }
+ if (hasStructField) {
+ // For struct field, it will be resolve as Alias(GetStructField,
name),
+ // In Aggregate/GroupingSets this behavior will cause same struct
field
+ // in aggExprs/groupExprs/selectedGroupByExprs will be resolved
divided
+ // with different ExprId of Alias and replace failed when construct
+ // Aggregate in ResolveGroupingAnalytics, so we resolve duplicated
struct
+ // field here with same ExprId
+ val structFieldMap = mutable.Map[String, Alias]()
+ resolved.transformExpressionsDown {
+ case a @ Alias(struct: GetStructField, _) =>
+ if (structFieldMap.contains(struct.sql)) {
Review comment:
> is it safe to use sql string as key?
Emmmm how about
```
case agg @ (_: Aggregate | _: GroupingSets) =>
def resolveDuplicatedStructField(
expr: Expression,
filedMap: mutable.Map[String, Alias]): Expression = {
expr.transform {
case a @ Alias(struct: GetStructField, _) =>
val exprId = filedMap.getOrElse(struct.sql, a).exprId
Alias(a.child, a.name)(exprId, a.qualifier, a.explicitMetadata)
}
}
val resolved = agg.mapExpressions(resolveExpressionTopDown(_, agg))
val resolvedExpressions = resolved match {
case aggregate: Aggregate =>
aggregate.aggregateExpressions ++ aggregate.groupingExpressions
case groupingSets: GroupingSets =>
groupingSets.selectedGroupByExprs.flatMap(_.toSeq) ++
groupingSets.groupByExprs ++ groupingSets.aggregations
case _ => Nil
}
val hasStructField = resolvedExpressions.exists {
_.collectFirst { case gsf: GetStructField => gsf }.isDefined
}
if (hasStructField) {
// For struct field, it will be resolve as Alias(GetStructField,
name),
// In Aggregate/GroupingSets this behavior will cause the same
struct fields
// in aggExprs/groupExprs/selectedGroupByExprs be treated as
different ones
// due to different ExprIds in Alias, and stops us finding the
grouping expressions
// in aggExprs. Here we resolve duplicated struct field here with
same ExprId
val structFieldMap = mutable.Map[String, Alias]()
resolvedExpressions.flatMap(_.collect {
case a @ Alias(struct: GetStructField, _) => struct.sql -> a
}).foreach { case (name, alias) =>
if (!structFieldMap.contains(name)) {
structFieldMap += (name -> alias)
}
}
resolved match {
case aggregate: Aggregate =>
aggregate.copy(
groupingExpressions = aggregate.groupingExpressions
.map(resolveDuplicatedStructField(_, structFieldMap)),
aggregateExpressions = aggregate.aggregateExpressions
.map(resolveDuplicatedStructField(_, structFieldMap)
.asInstanceOf[NamedExpression]))
case groupingSets: GroupingSets =>
groupingSets.copy(
selectedGroupByExprs = groupingSets.selectedGroupByExprs
.map(_.map(resolveDuplicatedStructField(_,
structFieldMap))),
groupByExprs = groupingSets.groupByExprs
.map(resolveDuplicatedStructField(_, structFieldMap)),
aggregations = groupingSets.aggregations
.map(resolveDuplicatedStructField(_, structFieldMap)
.asInstanceOf[NamedExpression])
)
}
} else {
resolved
}
```
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