Github user frreiss commented on a diff in the pull request: https://github.com/apache/spark/pull/13155#discussion_r63933593 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala --- @@ -1648,16 +1648,56 @@ object RewriteCorrelatedScalarSubquery extends Rule[LogicalPlan] { } /** + * Statically evaluate an expression containing one or more aggregates on an empty input. + */ + private def evalOnZeroTups(expr : Expression) : Option[Any] = { + // AggregateExpressions are Unevaluable, so we need to replace all aggregates + // in the expression with the value they would return for zero input tuples. + val rewrittenExpr = expr transform { + case a @ AggregateExpression(aggFunc, _, _, resultId) => + val resultLit = aggFunc.defaultResult match { + case Some(lit) => lit + case None => Literal.default(NullType) + } + Alias(resultLit, "aggVal") (exprId = resultId) + } + Option(rewrittenExpr.eval()) + } + + /** * Construct a new child plan by left joining the given subqueries to a base plan. */ private def constructLeftJoins( child: LogicalPlan, subqueries: ArrayBuffer[ScalarSubquery]): LogicalPlan = { subqueries.foldLeft(child) { case (currentChild, ScalarSubquery(query, conditions, _)) => + val aggOutputExpr = query.asInstanceOf[Aggregate].aggregateExpressions.head --- End diff -- Upon further reflection, a Filter node above the Aggregate creates additional issues. If you rewrite the subquery into an outer join above the Filter, it may be impossible to distinguish between two cases: - The original subquery returns null because an aggregate value did not pass the HAVING clause - The aggregate in the original subquery is evaluated over zero tuples In both cases, the outer join will return a tuple containing nulls. For example, the query: ```sql select * from l where (select count(*) cnt from r where l.a = r.c having cnt = 0) = 0 ``` would turn into ```sql select * from l left outer join (select c, count(*) cnt from r group by c having cnt = 0) sq on l.a = sq.c where sq.cnt = 0 ``` Note how the rewritten subquery `select c, count(*) cnt from r group by c having cnt = 0` always returns zero tuples. I'm working through a few possible solutions, trying to see if one of them is guaranteed to be correct.
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