diff --git a/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleDependency.scala b/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleDependency.scala
index 734c32249..c4f3d7cee 100644
--- a/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleDependency.scala
+++ b/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleDependency.scala
@@ -44,6 +44,7 @@ import scala.reflect.ClassTag
  * @param bytesSpilled for shuffle spill size tracking
  * @param computePidTime partition id computation time metric
  * @param splitTime native split time metric
+ * @param prepareTime native split prepare time metric
  */
 class ColumnarShuffleDependency[K: ClassTag, V: ClassTag, C: ClassTag](
     @transient private val _rdd: RDD[_ <: Product2[K, V]],
@@ -60,7 +61,8 @@ class ColumnarShuffleDependency[K: ClassTag, V: ClassTag, C: ClassTag](
     val computePidTime: SQLMetric,
     val splitTime: SQLMetric,
     val spillTime: SQLMetric,
-    val compressTime: SQLMetric)
+    val compressTime: SQLMetric,
+    val prepareTime: SQLMetric)
     extends ShuffleDependency[K, V, C](
       _rdd,
       partitioner,
diff --git a/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleWriter.scala b/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleWriter.scala
index d3497c2fd..de72369fb 100644
--- a/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleWriter.scala
+++ b/native-sql-engine/core/src/main/scala/org/apache/spark/shuffle/ColumnarShuffleWriter.scala
@@ -124,6 +124,7 @@ class ColumnarShuffleWriter[K, V](
       if (cb.numRows == 0 || cb.numCols == 0) {
         logInfo(s"Skip ColumnarBatch of ${cb.numRows} rows, ${cb.numCols} cols")
       } else {
+        val startTimeForPrepare = System.nanoTime()
         val bufAddrs = new ListBuffer[Long]()
         val bufSizes = new ListBuffer[Long]()
         val recordBatch = ConverterUtils.createArrowRecordBatch(cb)
@@ -164,6 +165,7 @@ class ColumnarShuffleWriter[K, V](
           }
         }
         firstRecordBatch = false
+        dep.prepareTime.add(System.nanoTime() - startTimeForPrepare)
 
         jniWrapper.split(nativeSplitter, cb.numRows, bufAddrs.toArray, bufSizes.toArray, firstRecordBatch)
         dep.splitTime.add(System.nanoTime() - startTime)
diff --git a/native-sql-engine/core/src/main/scala/org/apache/spark/sql/execution/ColumnarShuffleExchangeExec.scala b/native-sql-engine/core/src/main/scala/org/apache/spark/sql/execution/ColumnarShuffleExchangeExec.scala
index d36f50530..26ac26822 100644
--- a/native-sql-engine/core/src/main/scala/org/apache/spark/sql/execution/ColumnarShuffleExchangeExec.scala
+++ b/native-sql-engine/core/src/main/scala/org/apache/spark/sql/execution/ColumnarShuffleExchangeExec.scala
@@ -77,6 +77,7 @@ case class ColumnarShuffleExchangeExec(
     "splitTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "totaltime_split"),
     "spillTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "shuffle spill time"),
     "compressTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "totaltime_compress"),
+    "prepareTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "totaltime_prepare"),
     "avgReadBatchNumRows" -> SQLMetrics
       .createAverageMetric(sparkContext, "avg read batch num rows"),
     "numInputRows" -> SQLMetrics.createMetric(sparkContext, "number of input rows"),
@@ -140,7 +141,8 @@ case class ColumnarShuffleExchangeExec(
       longMetric("computePidTime"),
       longMetric("splitTime"),
       longMetric("spillTime"),
-      longMetric("compressTime"))
+      longMetric("compressTime"),
+      longMetric("prepareTime"))
   }
 
   var cachedShuffleRDD: ShuffledColumnarBatchRDD = _
@@ -187,6 +189,7 @@ class ColumnarShuffleExchangeAdaptor(
     "splitTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "totaltime_split"),
     "spillTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "shuffle spill time"),
     "compressTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "totaltime_compress"),
+    "prepareTime" -> SQLMetrics.createNanoTimingMetric(sparkContext, "totaltime_prepare"),
     "avgReadBatchNumRows" -> SQLMetrics
       .createAverageMetric(sparkContext, "avg read batch num rows"),
     "numInputRows" -> SQLMetrics.createMetric(sparkContext, "number of input rows"),
@@ -236,7 +239,8 @@ class ColumnarShuffleExchangeAdaptor(
       longMetric("computePidTime"),
       longMetric("splitTime"),
       longMetric("spillTime"),
-      longMetric("compressTime"))
+      longMetric("compressTime"),
+      longMetric("prepareTime"))
   }
 
   var cachedShuffleRDD: ShuffledColumnarBatchRDD = _
@@ -301,7 +305,8 @@ object ColumnarShuffleExchangeExec extends Logging {
       computePidTime: SQLMetric,
       splitTime: SQLMetric,
       spillTime: SQLMetric,
-      compressTime: SQLMetric): ShuffleDependency[Int, ColumnarBatch, ColumnarBatch] = {
+      compressTime: SQLMetric,
+      prepareTime: SQLMetric): ShuffleDependency[Int, ColumnarBatch, ColumnarBatch] = {
     val arrowFields = outputAttributes.map(attr => ConverterUtils.createArrowField(attr))
     def serializeSchema(fields: Seq[Field]): Array[Byte] = {
       val schema = new Schema(fields.asJava)
@@ -447,7 +452,8 @@ object ColumnarShuffleExchangeExec extends Logging {
         computePidTime = computePidTime,
         splitTime = splitTime,
         spillTime = spillTime,
-        compressTime = compressTime)
+        compressTime = compressTime,
+        prepareTime = prepareTime)
 
     dependency
   }