Github user davies commented on a diff in the pull request:

    https://github.com/apache/spark/pull/11153#discussion_r52646199
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
 ---
    @@ -572,98 +572,64 @@ class Analyzer(
           // Skip sort with aggregate. This will be handled in 
ResolveAggregateFunctions
           case sa @ Sort(_, _, child: Aggregate) => sa
     
    -      case s @ Sort(_, _, child) if !s.resolved && child.resolved =>
    -        val (newOrdering, missingResolvableAttrs) = 
collectResolvableMissingAttrs(s.order, child)
    -
    -        if (missingResolvableAttrs.isEmpty) {
    -          val unresolvableAttrs = s.order.filterNot(_.resolved)
    -          logDebug(s"Failed to find $unresolvableAttrs in 
${child.output.mkString(", ")}")
    -          s // Nothing we can do here. Return original plan.
    -        } else {
    -          // Add the missing attributes into projectList of Project/Window 
or
    -          //   aggregateExpressions of Aggregate, if they are in the 
inputSet
    -          //   but not in the outputSet of the plan.
    -          val newChild = child transformUp {
    -            case p: Project =>
    -              p.copy(projectList = p.projectList ++
    -                missingResolvableAttrs.filter((p.inputSet -- 
p.outputSet).contains))
    -            case w: Window =>
    -              w.copy(projectList = w.projectList ++
    -                missingResolvableAttrs.filter((w.inputSet -- 
w.outputSet).contains))
    -            case a: Aggregate =>
    -              val resolvableAttrs = 
missingResolvableAttrs.filter(a.groupingExpressions.contains)
    -              val notResolvedAttrs = 
resolvableAttrs.filterNot(a.aggregateExpressions.contains)
    -              val newAggregateExpressions = a.aggregateExpressions ++ 
notResolvedAttrs
    -              a.copy(aggregateExpressions = newAggregateExpressions)
    -            case o => o
    -          }
    -
    +      case s @ Sort(order, _, child) if !s.resolved && child.resolved =>
    +        val newOrder = order.map(resolveExpressionRecursively(_, 
child).asInstanceOf[SortOrder])
    +        val requiredAttrs = AttributeSet(newOrder).filter(_.resolved)
    +        val missingAttrs = requiredAttrs -- child.outputSet
    +        if (missingAttrs.nonEmpty) {
               // Add missing attributes and then project them away after the 
sort.
               Project(child.output,
    -            Sort(newOrdering, s.global, newChild))
    +            Sort(newOrder, s.global, addMissingAttr(child, missingAttrs)))
    +        } else if (newOrder != order) {
    +          s.copy(order = newOrder)
    +        } else {
    +          s
             }
         }
     
         /**
    -     * Traverse the tree until resolving the sorting attributes
    -     * Return all the resolvable missing sorting attributes
    -     */
    -    @tailrec
    -    private def collectResolvableMissingAttrs(
    -        ordering: Seq[SortOrder],
    -        plan: LogicalPlan): (Seq[SortOrder], Seq[Attribute]) = {
    +      * Add the missing attributes into projectList of Project/Window or 
aggregateExpressions of
    +      * Aggregate.
    +      */
    +    private def addMissingAttr(plan: LogicalPlan, missingAttrs: 
AttributeSet): LogicalPlan = {
    --- End diff --
    
    Because it can not go over JOIN, it's very uncommon to have thousands of 
unary nodes in practice.


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