diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala
index 6148fb30783e8..06085497de19a 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala
@@ -360,23 +360,25 @@ case class OneRowRelationExec() extends LeafExecNode
   override val output: Seq[Attribute] = Nil
 
   private val rdd: RDD[InternalRow] = {
-    val numOutputRows = longMetric("numOutputRows")
     session
       .sparkContext
       .parallelize(Seq(""), 1)
       .mapPartitionsInternal { _ =>
         val proj = UnsafeProjection.create(Seq.empty[Expression])
-        Iterator(proj.apply(InternalRow.empty)).map { r =>
-          numOutputRows += 1
-          r
-        }
+        Iterator(proj.apply(InternalRow.empty))
       }
   }
 
   override lazy val metrics = Map(
     "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"))
 
-  protected override def doExecute(): RDD[InternalRow] = rdd
+  protected override def doExecute(): RDD[InternalRow] = {
+    val numOutputRows = longMetric("numOutputRows")
+    rdd.map { r =>
+      numOutputRows += 1
+      r
+    }
+  }
 
   override def simpleString(maxFields: Int): String = s"$nodeName[]"
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
index 47efcaaa4e1b4..58457091a4a42 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
@@ -107,6 +107,25 @@ class SQLMetricsSuite extends SharedSparkSession with SQLMetricsTestUtils
     }
   }
 
+  test("SPARK-54749: OneRowRelation metrics") {
+    Seq((1L, "false"), (2L, "true")).foreach { case (nodeId, enableWholeStage) =>
+      withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> enableWholeStage) {
+        val df = spark.sql("select 1 as c1")
+        val oneRowRelation = df.queryExecution.executedPlan.collect {
+          case oneRowRelation: OneRowRelationExec => oneRowRelation
+        }
+        df.collect()
+        sparkContext.listenerBus.waitUntilEmpty()
+        assert(oneRowRelation.size == 1)
+
+        val expected = Map("number of output rows" -> 1L)
+        testSparkPlanMetrics(df.toDF(), 1, Map(
+          nodeId -> (("Scan OneRowRelation", expected))))
+      }
+    }
+  }
+
+
   test("Recursive CTEs metrics") {
     withSQLConf(SQLConf.OPTIMIZER_EXCLUDED_RULES.key -> "") {
       val df = sql(