diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index 220a73f784374..5019023379750 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -265,7 +265,8 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
       CTESubstitution,
       WindowsSubstitution,
       EliminateUnions,
-      SubstituteUnresolvedOrdinals),
+      SubstituteUnresolvedOrdinals,
+      ScopeExpressions),
     Batch("Disable Hints", Once,
       new ResolveHints.DisableHints),
     Batch("Hints", fixedPoint,
@@ -3447,6 +3448,33 @@ class Analyzer(override val catalogManager: CatalogManager) extends RuleExecutor
     }
   }
 
+  /**
+   * Restricts the scope of resolving some expressions.
+   */
+  object ScopeExpressions extends Rule[LogicalPlan] {
+    private def scopeOrder(scope: Seq[Attribute])(sortOrder: SortOrder): SortOrder = {
+      sortOrder match {
+        case so if so.child.isInstanceOf[ScopedExpression] => so
+        case so => so.copy(child = ScopedExpression(so.child, scope))
+      }
+    }
+
+    private def isNotScoped(sortOrder: SortOrder): Boolean =
+      !sortOrder.child.isInstanceOf[ScopedExpression]
+
+    override def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperators {
+      // SPARK-42199: sort order of MapGroups must be scoped to their dataAttributes
+      case mg: MapGroups if mg.dataOrder.exists(isNotScoped) =>
+        mg.copy(dataOrder = mg.dataOrder.map(scopeOrder(mg.dataAttributes)))
+
+      // SPARK-42199: sort order of CoGroups must be scoped to their respective dataAttributes
+      case cg: CoGroup if Seq(cg.leftOrder, cg.rightOrder).exists(_.exists(isNotScoped)) =>
+        val scopedLeftOrder = cg.leftOrder.map(scopeOrder(cg.leftAttr))
+        val scopedRightOrder = cg.rightOrder.map(scopeOrder(cg.rightAttr))
+        cg.copy(leftOrder = scopedLeftOrder, rightOrder = scopedRightOrder)
+    }
+  }
+
   /**
    * Resolves expressions against their scope of attributes.
    */
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
index d969bde284e79..9ee9f677fa7bc 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala
@@ -1566,6 +1566,87 @@ class AnalysisSuite extends AnalysisTest with Matchers {
       Project(Seq(plan.output.head.as("value")), appendCols.analyze))
   }
 
+  test("SPARK-42199: MapGroups scopes sort order expressions") {
+    def func(k: Int, it: Iterator[Int]): Iterator[Int] = {
+      Iterator.empty
+    }
+
+    implicit val intEncoder = ExpressionEncoder[Int]()
+
+    val rel = testRelation2.analyze
+    val group = MapGroups(
+      func,
+      rel.output.head :: Nil,
+      rel.output,
+      SortOrder($"b", Ascending) :: Nil,
+      rel
+    )
+
+    // apply the ScopeExpressions
+    val actualPlan = getAnalyzer.ScopeExpressions(group)
+    val mg = actualPlan.collectFirst {
+      case mg: MapGroups => mg
+    }
+
+    def hasScope(scope: Seq[Attribute])(sortOrder: SortOrder): Boolean = {
+      sortOrder.child.isInstanceOf[ScopedExpression] &&
+        sortOrder.child.asInstanceOf[ScopedExpression].scope.equals(scope)
+    }
+
+    // assert sort order to be scoped
+    assert(mg.isDefined)
+    mg.foreach { mg =>
+      assert(mg.dataOrder.size == 1)
+      assert(mg.dataOrder.forall(hasScope(mg.dataAttributes)))
+    }
+  }
+
+  test("SPARK-42199: CoGroup scopes sort order expressions") {
+    def func(k: Int, left: Iterator[Int], right: Iterator[Int]): Iterator[Int] = {
+      Iterator.empty
+    }
+
+    implicit val intEncoder = ExpressionEncoder[Int]()
+
+    val left = testRelation2.select($"e").analyze
+    val right = testRelation3.select($"e", $"f").analyze
+    val leftWithKey = AppendColumns[Int, Int]((x: Int) => x, left)
+    val rightWithKey = AppendColumns[Int, Int]((x: Int) => x, right)
+    val leftOrder = SortOrder($"e", Ascending) :: Nil
+    val rightOrder = SortOrder($"e", Ascending) :: SortOrder($"f", Descending) :: Nil
+
+    val cogroup = leftWithKey.cogroup[Int, Int, Int, Int](
+      rightWithKey,
+      func,
+      leftWithKey.newColumns,
+      rightWithKey.newColumns,
+      left.output,
+      right.output,
+      leftOrder,
+      rightOrder
+    )
+
+    // apply the ScopeExpressions
+    val actualPlan = getAnalyzer.ScopeExpressions(cogroup)
+    val cg = actualPlan.collectFirst {
+      case cg: CoGroup => cg
+    }
+
+    def hasScope(scope: Seq[Attribute])(sortOrder: SortOrder): Boolean = {
+      sortOrder.child.isInstanceOf[ScopedExpression] &&
+        sortOrder.child.asInstanceOf[ScopedExpression].scope.equals(scope)
+    }
+
+    // assert sort order to be scoped
+    assert(cg.isDefined)
+    cg.foreach { cg =>
+      assert(cg.leftOrder.size == 1)
+      assert(cg.rightOrder.size == 2)
+      assert(cg.leftOrder.forall(hasScope(left.output)))
+      assert(cg.rightOrder.forall(hasScope(right.output)))
+    }
+  }
+
   test("SPARK-38591: resolve left and right CoGroup sort order on respective side only") {
     def func(k: Int, left: Iterator[Int], right: Iterator[Int]): Iterator[Int] = {
       Iterator.empty
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala b/sql/core/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
index 3618290bcd6b7..c8abfb054ad81 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala
@@ -200,8 +200,6 @@ class KeyValueGroupedDataset[K, V] private[sql](
       sortExprs: Column*)(
       f: (K, Iterator[V]) => IterableOnce[U]): Dataset[U] = {
     val sortOrder: Seq[SortOrder] = MapGroups.sortOrder(sortExprs.map(_.expr))
-      // SPARK-42199: resolve these sort expressions only against dataAttributes
-      .map(scopeSortOrder(dataAttributes))
 
     Dataset[U](
       sparkSession,
@@ -870,13 +868,8 @@ class KeyValueGroupedDataset[K, V] private[sql](
       case expr: Expression => SortOrder(expr, Ascending)
     }
 
-    // SPARK-42199: resolve these sort expressions only against dataAttributes
-    val thisSortOrder: Seq[SortOrder] = thisSortExprs
-          .map(toSortOrder)
-          .map(scopeSortOrder(dataAttributes))
-    val otherSortOrder: Seq[SortOrder] = otherSortExprs
-          .map(toSortOrder)
-          .map(scopeSortOrder(other.dataAttributes))
+    val thisSortOrder: Seq[SortOrder] = thisSortExprs.map(toSortOrder)
+    val otherSortOrder: Seq[SortOrder] = otherSortExprs.map(toSortOrder)
 
     implicit val uEncoder = other.vExprEnc
     Dataset[R](
@@ -919,9 +912,6 @@ class KeyValueGroupedDataset[K, V] private[sql](
       (key, left, right) => f.call(key, left.asJava, right.asJava).asScala)(encoder)
   }
 
-  private def scopeSortOrder(scope: Seq[Attribute])(sortOrder: SortOrder): SortOrder =
-    sortOrder.copy(child = ScopedExpression(sortOrder.child, scope))
-
   private def scopeTypedColumn(
       scope: Seq[Attribute])(
       typedCol: TypedColumn[_, _]): TypedColumn[_, _] =