Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/482#discussion_r12038808
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -91,10 +91,53 @@ object ColumnPruning extends Rule[LogicalPlan] {
*/
object ConstantFolding extends Rule[LogicalPlan] {
def apply(plan: LogicalPlan): LogicalPlan = plan transform {
- case q: LogicalPlan => q transformExpressionsDown {
+ case q: LogicalPlan => q transformExpressionsUp {
// Skip redundant folding of literals.
case l: Literal => l
+ // if it's foldable
case e if e.foldable => Literal(e.eval(null), e.dataType)
+ case e @ Count(Literal(null, _)) => Literal(null, e.dataType)
+ case e @ Sum(Literal(null, _)) => Literal(null, e.dataType)
+ case e @ Average(Literal(null, _)) => Literal(null, e.dataType)
+ case e @ IsNull(Literal(null, _)) => Literal(true, BooleanType)
--- End diff --
yes, correctly, if all of the operands are literal, and it's covered by the
rule `expression.foldable` in most of cases. I removed the overlapped cases
from the rule NullPropagation
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