peter-toth commented on code in PR #40488:
URL: https://github.com/apache/spark/pull/40488#discussion_r1142961725
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/planning/patterns.scala:
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@@ -296,12 +298,17 @@ object PhysicalAggregation {
// build a set of semantically distinct aggregate expressions and
re-write expressions so
// that they reference the single copy of the aggregate function which
actually gets computed.
// Non-deterministic aggregate expressions are not deduplicated.
- val equivalentAggregateExpressions = new EquivalentExpressions
+ val equivalentAggregateExpressions = mutable.Map.empty[Expression,
Expression]
val aggregateExpressions = resultExpressions.flatMap { expr =>
expr.collect {
- // addExpr() always returns false for non-deterministic expressions
and do not add them.
case a
- if AggregateExpression.isAggregate(a) &&
!equivalentAggregateExpressions.addExpr(a) =>
Review Comment:
Besides the above, although `.addExpr()` fits here well and does the job,
isn't it a bit weird that an add-like method of a collection-like object
doesn't return `true` when a new item was added, but actually it flips the
meaning of the return value? If it was used at multiple places then I would
keep it, but we use it only here. But maybe I'm just nitpicking...
Anyways, I'm ok with https://github.com/apache/spark/pull/40473 too.
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