cloud-fan commented on code in PR #47403:
URL: https://github.com/apache/spark/pull/47403#discussion_r1688120792


##########
sql/core/src/main/scala/org/apache/spark/sql/scripting/SqlScriptingInterpreter.scala:
##########
@@ -73,11 +74,19 @@ case class SqlScriptingInterpreter() {
           .map(new SingleStatementExec(_, Origin(), isInternal = true))
           .reverse
         new CompoundBodyExec(
-          body.collection.map(st => transformTreeIntoExecutable(st)) ++ 
dropVariables)
+          body.collection.map(st => transformTreeIntoExecutable(st)) ++ 
dropVariables, session)
       case sparkStatement: SingleStatement =>
         new SingleStatementExec(
           sparkStatement.parsedPlan,
           sparkStatement.origin,
-          isInternal = false)
+          shouldCollectResult = true)
     }
+
+  def execute(compoundBody: CompoundBody): Iterator[Array[Row]] = {

Review Comment:
   can we decouple the two parts: 1) produce `DataFrame`s from the script. 2) 
execute the `DataFrame`s one by one w.r.t. the order.



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