cloud-fan commented on a change in pull request #25204: 
[SPARK-28441][SQL][Python] Fix error when PythonUDF is used in correlated 
scalar subquery
URL: https://github.com/apache/spark/pull/25204#discussion_r305670236
 
 

 ##########
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala
 ##########
 @@ -318,17 +318,30 @@ object RewriteCorrelatedScalarSubquery extends 
Rule[LogicalPlan] {
 
   /**
    * Statically evaluate an expression containing zero or more placeholders, 
given a set
-   * of bindings for placeholder values.
+   * of bindings for placeholder values, if the expression is evaluable. If it 
is not,
+   * bind statically evaluated expression results to an expression.
    */
-  private def evalExpr(expr: Expression, bindings: Map[ExprId, Option[Any]]) : 
Option[Any] = {
+  private def bindingExpr(
+      expr: Expression,
+      bindings: Map[ExprId, Option[Expression]]): Option[Expression] = {
     val rewrittenExpr = expr transform {
       case r: AttributeReference =>
         bindings(r.exprId) match {
-          case Some(v) => Literal.create(v, r.dataType)
+          case Some(v) => v
           case None => Literal.default(NullType)
         }
     }
-    Option(rewrittenExpr.eval())
+    if (rewrittenExpr.find(_.isInstanceOf[PythonUDF]).isDefined) {
+      // SPARK-28441: `PythonUDF` can't be statically evaluated.
 
 Review comment:
   We can't call `Expression.eval(null)` if it's not foldable, otherwise 
exception may be thrown:
   1. `AttributeReference.eval(null)` fails with NPE
   2. `Nondeterministic.eval(null)` fails because it needs to be initialized 
first
   
   Whatever hack we use, I'd expect it makes the expression foldable.

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