cloud-fan commented on a change in pull request #34701:
URL: https://github.com/apache/spark/pull/34701#discussion_r758930961
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
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@@ -2162,6 +2163,74 @@ object RemoveLiteralFromGroupExpressions extends
Rule[LogicalPlan] {
}
}
+/**
+ * Prunes unnecessary fields from a [[Generate]] if it is under a count
aggregation
+ * query.
+ */
+object CountAggregateOptimization extends Rule[LogicalPlan] {
Review comment:
My understanding is, rule `ColumnPruning` will create `Project` with an
empty project list under count-only aggregate. In the mean while, people can
use DataFrame API to create empty `Project` as well.
I think it's simpler and more general to target `Project(Nil,
Generate(...))`. We don't care about how the empty project was created, either
by count-only aggregate, or by users.
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