cloud-fan commented on code in PR #37074:
URL: https://github.com/apache/spark/pull/37074#discussion_r919644313
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala:
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@@ -742,12 +742,18 @@ object ColumnPruning extends Rule[LogicalPlan] {
* order, otherwise lower Projects can be missed.
*/
private def removeProjectBeforeFilter(plan: LogicalPlan): LogicalPlan = plan
transformUp {
- case p1 @ Project(_, f @ Filter(_, p2 @ Project(_, child)))
+ case p1 @ Project(_, f @ Filter(e, p2 @ Project(_, child)))
if p2.outputSet.subsetOf(child.outputSet) &&
// We only remove attribute-only project.
- p2.projectList.forall(_.isInstanceOf[AttributeReference]) =>
+ p2.projectList.forall(_.isInstanceOf[AttributeReference]) &&
+ !hasConflictingAttrsWithSubquery(e, child) =>
p1.copy(child = f.copy(child = child))
}
+
+ private def hasConflictingAttrsWithSubquery(e: Expression, child:
LogicalPlan): Boolean = {
+ SubqueryExpression.hasInOrCorrelatedExistsSubquery(e) &&
+ child.outputSet.intersect(e.references).nonEmpty
Review Comment:
To be more precise, we should find out the correlated subqueries and collect
their references.
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