beliefer commented on a change in pull request #27058: [SPARK-30395][SQL] When
one or more DISTINCT aggregate expressions operate on the same field, the
DISTINCT aggregate expression allows the use of the FILTER clause
URL: https://github.com/apache/spark/pull/27058#discussion_r365196075
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
##########
@@ -316,6 +362,86 @@ object RewriteDistinctAggregates extends
Rule[LogicalPlan] {
}.asInstanceOf[NamedExpression]
}
Aggregate(groupByAttrs, patchedAggExpressions, firstAggregate)
+ } else if (distinctAggGroups.size == 1) {
+ val (distinctAggExpressions, regularAggExpressions) =
aggExpressions.partition(_.isDistinct)
+ if (distinctAggExpressions.exists(_.filter.isDefined)) {
+ val regularAggExprs = regularAggExpressions.filter(e =>
e.children.exists(!_.foldable))
+ val regularFunChildren = regularAggExprs
+ .flatMap(_.aggregateFunction.children.filter(!_.foldable))
+ val regularFilterAttrs = regularAggExprs.flatMap(_.filterAttributes)
+ val regularAggChildren = (regularFunChildren ++
regularFilterAttrs).distinct
+ val regularAggChildAttrMap =
regularAggChildren.map(expressionAttributePair)
+ val regularAggChildAttrLookup = regularAggChildAttrMap.toMap
+ val regularOperatorMap = regularAggExprs.map {
+ case ae @ AggregateExpression(af, _, _, filter, _) =>
+ val newChildren = af.children.map(c =>
regularAggChildAttrLookup.getOrElse(c, c))
+ val raf =
af.withNewChildren(newChildren).asInstanceOf[AggregateFunction]
+ val filterOpt = filter.map(_.transform {
+ case a: Attribute => regularAggChildAttrLookup.getOrElse(a, a)
+ })
+ val aggExpr = ae.copy(aggregateFunction = raf, filter = filterOpt)
+ (ae, aggExpr)
+ }
+ val distinctAggExprs = distinctAggExpressions.filter(e =>
e.children.exists(!_.foldable))
+ val rewriteDistinctOperatorMap = distinctAggExprs.zipWithIndex.map {
+ case (ae @ AggregateExpression(af, _, _, filter, _), i) =>
+ // Why do we need to construct the phantom id ?
+ // First, In order to reduce costs, it is better to handle the
filter clause locally.
+ // e.g. COUNT (DISTINCT a) FILTER (WHERE id > 1), evaluate
expression
+ // If(id > 1) 'a else null first, and use the result as output.
+ // Second, If more than one DISTINCT aggregate expression uses the
same column,
+ // We need to construct the phantom attributes so as the output
not lost.
+ // e.g. SUM (DISTINCT a), COUNT (DISTINCT a) FILTER (WHERE id > 1)
will output
+ // attribute 'phantom1-a and attribute 'phantom2-a instead of two
'a.
+ // Note: We just need to illusion the expression with filter
clause.
+ // The illusionary mechanism may result in multiple distinct
aggregations uses
+ // different column, so we still need to call `rewrite`.
+ val phantomId = i + 1
+ val unfoldableChildren = af.children.filter(!_.foldable)
+ val exprAttrs = unfoldableChildren.map { e =>
+ (e, AttributeReference(s"phantom$phantomId-${e.sql}",
e.dataType, nullable = true)())
Review comment:
Why the name contains `_group`?
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