Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18968#discussion_r133851955
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala
---
@@ -140,25 +140,55 @@ case class In(value: Expression, list:
Seq[Expression]) extends Predicate {
require(list != null, "list should not be null")
override def checkInputDataTypes(): TypeCheckResult = {
list match {
- case ListQuery(sub, _, _) :: Nil =>
+ case (l @ ListQuery(sub, children, _)) :: Nil =>
val valExprs = value match {
case cns: CreateNamedStruct => cns.valExprs
case expr => Seq(expr)
}
- if (valExprs.length != sub.output.length) {
- TypeCheckResult.TypeCheckFailure(
+
+ // SPARK-21759:
+ // It is possibly that the subquery plan has more output than
value expressions, because
+ // the condition expressions in `ListQuery` might use part of
subquery plan's output.
+ // For example, in the following query plan, the condition of
`ListQuery` uses value#207
+ // from the subquery query. For now the size of output of subquery
is 2, the size of value
+ // is 1.
+ //
+ // Filter key#201 IN (list#200 [(value#207 = min(value)#204)])
+ // : +- Project [key#206, value#207]
+ // : +- Filter (value#207 > val_9)
--- End diff --
The example in PR description is constructed later. This example is I
encountered in `subquery_in_having.q`. I'll make it consistent.
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