joshrosen-stripe commented on a change in pull request #25164: [SPARK-28375] 
Prevent the PullupCorrelatedPredicates optimizer rule from removing predicates 
if run multiple times
URL: https://github.com/apache/spark/pull/25164#discussion_r304121011
 
 

 ##########
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
 ##########
 @@ -275,13 +275,16 @@ object PullupCorrelatedPredicates extends 
Rule[LogicalPlan] with PredicateHelper
     plan transformExpressions {
       case ScalarSubquery(sub, children, exprId) if children.nonEmpty =>
         val (newPlan, newCond) = pullOutCorrelatedPredicates(sub, outerPlans)
-        ScalarSubquery(newPlan, newCond, exprId)
+        val conds = newCond ++ children.filter(_.isInstanceOf[Predicate])
 
 Review comment:
   @gatorsmile 
   
   > We want to ensure all these optimizer rules can be run multiple times. 
This is critical for adaptive query execution.
   
   Quick clarification question: does Spark 2.4.x perform double-optimization 
when adaptive execution is used? Or is that only a characteristic of the new / 
expanded adaptive execution features in Spark 3.x? I ask in order to help 
determine whether this patch should be a correctness backport for 2.4.x.

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