Github user saucam commented on a diff in the pull request:
https://github.com/apache/spark/pull/5700#discussion_r39256778
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -413,6 +418,10 @@ object BooleanSimplification extends Rule[LogicalPlan]
with PredicateHelper {
case LessThan(l, r) => GreaterThanOrEqual(l, r)
// not(l <= r) => l > r
case LessThanOrEqual(l, r) => GreaterThan(l, r)
+ // not(l || r) => not(l) && not(r)
+ case Or(l, r) => And(Not(l), Not(r))
+ // not(l && r) => not(l) or not(r)
+ case And(l, r) => Or(Not(l), Not(r))
--- End diff --
@cloud-fan could you please explain a bit more when and how converting to
"And" may not be an optimization ? I was wondering would it actually result in
any kind of performance hit ? Also could you tell how #8200 is more reasonable ?
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