frankyin-factual commented on a change in pull request #28898:
URL: https://github.com/apache/spark/pull/28898#discussion_r448779163
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/NestedColumnAliasing.scala
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@@ -172,13 +188,23 @@ object NestedColumnAliasing {
(f, Alias(f, s"_gen_alias_${exprId.id}")(exprId, Seq.empty, None))
}
+
+ // Do deduplication based on semanticEquals, and then sum.
+ val nestedFieldNum = nestedFieldToAlias
+ .foldLeft(Seq[ExtractValue]()) {
+ (unique, curr) => if (!unique.exists(curr._1.semanticEquals(_))) {
+ curr._1 +: unique
+ } else {
+ unique
+ }
+ }
+ .map { t => totalFieldNum(t.dataType) }
+ .sum
Review comment:
No, I mean you probably misread the code here. This map still returns
`ExprId->Seq(name.last, name.first, name.first)` because I didn't change the
lookup map here. All I change is to count the field number differently so that
it won't trigger the `else` statement -- which means all leaf nodes are
covered, no schema pruning is required.
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