diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index a51b385399d8..e2d7164d93ac 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -1171,7 +1171,7 @@ object DecimalAggregates extends Rule[LogicalPlan] {
  * Converts local operations (i.e. ones that don't require data exchange) on LocalRelation to
  * another LocalRelation.
  *
- * This is relatively simple as it currently handles only a single case: Project.
+ * This is relatively simple as it currently handles only 2 single case: Project and Limit.
  */
 object ConvertToLocalRelation extends Rule[LogicalPlan] {
   def apply(plan: LogicalPlan): LogicalPlan = plan transform {
@@ -1180,6 +1180,9 @@ object ConvertToLocalRelation extends Rule[LogicalPlan] {
       val projection = new InterpretedProjection(projectList, output)
       projection.initialize(0)
       LocalRelation(projectList.map(_.toAttribute), data.map(projection))
+
+    case Limit(IntegerLiteral(limit), LocalRelation(output, data)) =>
+      LocalRelation(output, data.take(limit))
   }
 
   private def hasUnevaluableExpr(expr: Expression): Boolean = {
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
index 2e8ce4541865..c115cb6e80e9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala
@@ -63,29 +63,24 @@ abstract class SparkStrategies extends QueryPlanner[SparkPlan] {
    */
   object SpecialLimits extends Strategy {
     override def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
-      case logical.ReturnAnswer(rootPlan) => rootPlan match {
-        case logical.Limit(IntegerLiteral(limit), logical.Sort(order, true, child)) =>
-          execution.TakeOrderedAndProjectExec(limit, order, child.output, planLater(child)) :: Nil
-        case logical.Limit(
-            IntegerLiteral(limit),
-            logical.Project(projectList, logical.Sort(order, true, child))) =>
-          execution.TakeOrderedAndProjectExec(
-            limit, order, projectList, planLater(child)) :: Nil
-        case logical.Limit(IntegerLiteral(limit), child) =>
-          // Normally wrapping child with `LocalLimitExec` here is a no-op, because
-          // `CollectLimitExec.executeCollect` will call `LocalLimitExec.executeTake`, which
-          // calls `child.executeTake`. If child supports whole stage codegen, adding this
-          // `LocalLimitExec` can stop the processing of whole stage codegen and trigger the
-          // resource releasing work, after we consume `limit` rows.
-          execution.CollectLimitExec(limit, LocalLimitExec(limit, planLater(child))) :: Nil
+      case ReturnAnswer(rootPlan) => rootPlan match {
+        case Limit(IntegerLiteral(limit), Sort(order, true, child)) =>
+          TakeOrderedAndProjectExec(limit, order, child.output, planLater(child)) :: Nil
+        case Limit(IntegerLiteral(limit), Project(projectList, Sort(order, true, child))) =>
+          TakeOrderedAndProjectExec(limit, order, projectList, planLater(child)) :: Nil
+        case Limit(IntegerLiteral(limit), child) =>
+          // With whole stage codegen, Spark releases resources only when all the output data of the
+          // query plan are consumed. It's possible that `CollectLimitExec` only consumes a little
+          // data from child plan and finishes the query without releasing resources. Here we wrap
+          // the child plan with `LocalLimitExec`, to stop the processing of whole stage codegen and
+          // trigger the resource releasing work, after we consume `limit` rows.
+          CollectLimitExec(limit, LocalLimitExec(limit, planLater(child))) :: Nil
         case other => planLater(other) :: Nil
       }
-      case logical.Limit(IntegerLiteral(limit), logical.Sort(order, true, child)) =>
-        execution.TakeOrderedAndProjectExec(limit, order, child.output, planLater(child)) :: Nil
-      case logical.Limit(
-          IntegerLiteral(limit), logical.Project(projectList, logical.Sort(order, true, child))) =>
-        execution.TakeOrderedAndProjectExec(
-          limit, order, projectList, planLater(child)) :: Nil
+      case Limit(IntegerLiteral(limit), Sort(order, true, child)) =>
+        TakeOrderedAndProjectExec(limit, order, child.output, planLater(child)) :: Nil
+      case Limit(IntegerLiteral(limit), Project(projectList, Sort(order, true, child))) =>
+        TakeOrderedAndProjectExec(limit, order, projectList, planLater(child)) :: Nil
       case _ => Nil
     }
   }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala
index 7cef5569717a..73a0f8735ed4 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/limit.scala
@@ -54,14 +54,6 @@ trait BaseLimitExec extends UnaryExecNode with CodegenSupport {
   val limit: Int
   override def output: Seq[Attribute] = child.output
 
-  // Do not enable whole stage codegen for a single limit.
-  override def supportCodegen: Boolean = child match {
-    case plan: CodegenSupport => plan.supportCodegen
-    case _ => false
-  }
-
-  override def executeTake(n: Int): Array[InternalRow] = child.executeTake(math.min(n, limit))
-
   protected override def doExecute(): RDD[InternalRow] = child.execute().mapPartitions { iter =>
     iter.take(limit)
   }