dtenedor commented on code in PR #48047:
URL: https://github.com/apache/spark/pull/48047#discussion_r1756076416
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala:
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@@ -2727,6 +2727,12 @@ class Analyzer(override val catalogManager:
CatalogManager) extends RuleExecutor
t => t.containsAnyPattern(AGGREGATE_EXPRESSION, PYTHON_UDF) &&
t.containsPattern(PROJECT),
ruleId) {
case Project(projectList, child) if containsAggregates(projectList) =>
+ if (child.isInstanceOf[PipeOperatorSelect]) {
Review Comment:
I tried this but it was more complex than I had hoped. I ended up switching
the implementation to make the `PipeOperatorSelect` a temporary expression
instead, that checks its children for aggregate functions at the end of
analysis. This seems to work without creating any new analyzer rule.
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