Github user hvanhovell commented on a diff in the pull request: https://github.com/apache/spark/pull/21330#discussion_r189433323 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala --- @@ -1883,7 +1883,19 @@ class Analyzer( // Second, we group extractedWindowExprBuffer based on their Partition and Order Specs. val groupedWindowExpressions = extractedWindowExprBuffer.groupBy { expr => val distinctWindowSpec = expr.collect { - case window: WindowExpression => window.windowSpec + case window: WindowExpression => + val winExpr = window.windowFunction + val distinctOpt = winExpr.find (expr => expr.isInstanceOf[AggregateExpression] + && expr.asInstanceOf[AggregateExpression].isDistinct) + if (distinctOpt.nonEmpty && window.windowSpec.orderSpec.nonEmpty) { --- End diff -- So this only works for global window frames? If it does why did you implement distinct processing for growing, sliding and shrinking frames?
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