Github user frreiss commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13155#discussion_r66558119
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
 ---
    @@ -1695,16 +1695,176 @@ object RewriteCorrelatedScalarSubquery extends 
Rule[LogicalPlan] {
       }
     
       /**
    +   * Statically evaluate an expression containing zero or more 
placeholders, given a set
    +   * of bindings for placeholder values.
    +   */
    +  private def evalExpr(expr : Expression, bindings : Map[Long, 
Option[Any]]) : Option[Any] = {
    +    val rewrittenExpr = expr transform {
    +      case r @ AttributeReference(_, dataType, _, _) =>
    +        bindings(r.exprId.id) match {
    +          case Some(v) => Literal.create(v, dataType)
    +          case None => Literal.default(NullType)
    +        }
    +    }
    +    Option(rewrittenExpr.eval())
    +  }
    +
    +  /**
    +   * Statically evaluate an expression containing one or more aggregates 
on an empty input.
    +   */
    +  private def evalAggOnZeroTups(expr : Expression) : Option[Any] = {
    +    // AggregateExpressions are Unevaluable, so we need to replace all 
aggregates
    +    // in the expression with the value they would return for zero input 
tuples.
    +    val rewrittenExpr = expr transform {
    +      case a @ AggregateExpression(aggFunc, _, _, resultId) =>
    +        aggFunc.defaultResult.getOrElse(Literal.default(NullType))
    +    }
    +    Option(rewrittenExpr.eval())
    +  }
    +
    +  /**
    +   * Statically evaluate a scalar subquery on an empty input.
    +   *
    +   * <b>WARNING:</b> This method only covers subqueries that pass the 
checks under
    +   * [[org.apache.spark.sql.catalyst.analysis.CheckAnalysis]]. If the 
checks in
    +   * CheckAnalysis become less restrictive, this method will need to 
change.
    +   */
    +  private def evalSubqueryOnZeroTups(plan: LogicalPlan) : Option[Any] = {
    +    // Inputs to this method will start with a chain of zero or more 
SubqueryAlias
    +    // and Project operators, followed by an optional Filter, followed by 
an
    +    // Aggregate. Traverse the operators recursively.
    +    def evalPlan(lp : LogicalPlan) : Map[Long, Option[Any]] = {
    +      lp match {
    +        case SubqueryAlias(_, child) => evalPlan(child)
    +        case Filter(condition, child) =>
    +          val bindings = evalPlan(child)
    +          if (bindings.size == 0) bindings
    --- End diff --
    
    Fixed in my local copy.


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