Github user hvanhovell commented on a diff in the pull request: https://github.com/apache/spark/pull/7057#discussion_r34602077 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/Window.scala --- @@ -37,443 +59,622 @@ case class Window( child: SparkPlan) extends UnaryNode { - override def output: Seq[Attribute] = - (projectList ++ windowExpression).map(_.toAttribute) + override def output: Seq[Attribute] = projectList ++ windowExpression.map(_.toAttribute) - override def requiredChildDistribution: Seq[Distribution] = + override def requiredChildDistribution: Seq[Distribution] = { if (windowSpec.partitionSpec.isEmpty) { - // This operator will be very expensive. + // Only show warning when the number of bytes is larger than 100 MB? + logWarning("No Partition Defined for Window operation! Moving all data to a single " + + "partition, this can cause serious performance degradation.") AllTuples :: Nil - } else { - ClusteredDistribution(windowSpec.partitionSpec) :: Nil - } - - // Since window functions are adding columns to the input rows, the child's outputPartitioning - // is preserved. - override def outputPartitioning: Partitioning = child.outputPartitioning --- End diff -- Ahhh... Now I understand. I got confused with ```outputOrdering```, sorry about that. I'll add it.
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