Github user frreiss commented on a diff in the pull request: https://github.com/apache/spark/pull/13155#discussion_r66561017 --- 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 { --- End diff -- Yes, that is true. Added a test case and an additional clause in that case statement in my local copy.
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