Hisoka-X commented on code in PR #41554:
URL: https://github.com/apache/spark/pull/41554#discussion_r1288442674


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/DeduplicateRelations.scala:
##########
@@ -220,7 +220,54 @@ object DeduplicateRelations extends Rule[LogicalPlan] {
           if (attrMap.isEmpty) {
             planWithNewChildren
           } else {
-            planWithNewChildren.rewriteAttrs(attrMap)
+            def rewriteAttrsMatchWithSubPlan(
+                attrs: Seq[Attribute],
+                attrMap: AttributeMap[Attribute],
+                planOutput: Seq[Attribute]): Seq[Attribute] = {
+              val canRewriteAttrs = attrMap.filter(a => 
planOutput.contains(a._2))
+              attrs.map(attr => canRewriteAttrs.getOrElse(attr, attr))
+            }
+
+            def rewriteOrderMatchWithSubPlan(
+                attrs: Seq[SortOrder],
+                attrMap: AttributeMap[Attribute],
+                planOutput: Seq[Attribute]): Seq[SortOrder] = {
+              val canRewriteAttrs = attrMap.filter(a => 
planOutput.contains(a._2))
+              attrs.map(attr => {
+                
attr.transformWithPruning(_.containsPattern(ATTRIBUTE_REFERENCE)) {
+                  case a: AttributeReference =>
+                    canRewriteAttrs.getOrElse(a, a)
+                }
+                attr
+              })
+            }
+
+            planWithNewChildren match {
+              case c: CoGroup =>
+                // SPARK-43781: CoGroup is a special case, as it has different 
output attributes

Review Comment:
   > What do you mean by "it has different output attributes"?
   
   The describe not clear, let me update it.
   
   > There are similar cases where it creates new output attributes (not from 
the child): MapPartitionsInR, MapPartitionsInRWithArrow, MapElements, 
MapGroups, FlatMapGroupsWithState, FlatMapGroupsInR, FlatMapGroupsInR, 
FlatMapGroupsInRWithArrow, FlatMapGroupsInPandas, MapInPandas, 
PythonMapInArrow, and FlatMapGroupsInPandasWithState.
   > There's another CoGroup operation in Python (cogroup.apply() that is 
FlatMapCoGroupsInPandas). Would be great to double check.
   
   Can I do it on another PR? Seem like produce negative case will use some 
time.



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