Github user viirya commented on a diff in the pull request: https://github.com/apache/spark/pull/18779#discussion_r130613115 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala --- @@ -1010,7 +1014,16 @@ class Analyzer( s"(valid range is [1, ${aggs.size}])") case o => o } - Aggregate(newGroups, aggs, child) + // If an aggregateExpression is integer, after replaced with this aggregateExpression, the + // groupExpression will be considered as an ordinal still, so we should filter it. + var filterGroups: Seq[Expression] = Nil + newGroups.foreach { ng => + ng match { + case a: Alias => if (!isIntLiteral (a.child)) filterGroups :+= ng + case _ => filterGroups :+= ng + } + } + Aggregate(filterGroups, aggs, child) --- End diff -- @10110346 Please see previous comment: https://github.com/apache/spark/pull/18779#issuecomment-319007812 The basic idea is, instead of resolve `UnresolvedOrdinal` to actual aggregate expressions, we resolve it to `ResolvedOrdinal`. Then in the beginning of optimization, we replace all `ResolvedOrdinal` to actual aggregate expressions. What do you think?
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