sum time cost of all types and comparing with all types

externals/kyuubi-spark-sql-engine/src/test/scala/org/apache/kyuubi/engine/spark/schema/RowSetSuite.scala

@@ -274,14 +274,14 @@ class RowSetSuite extends KyuubiFunSuite {
   }
 
   test("to row set benchmark") {
-    val rowCount = 10000
+    val rowCount = 1000
     val allRows = (0 until rowCount).map(genRow)
 
     def benchmarkToTRowSet(
         clue: String,
         rows: Seq[Row],
         schema: StructType,
-        protocolVersion: TProtocolVersion): Unit = {
+        protocolVersion: TProtocolVersion): BigDecimal = {
       val sw = StopWatch.createStarted()
       RowSet.toTRowSet(rows, schema, protocolVersion)
       sw.stop()
@@ -296,9 +296,13 @@ class RowSetSuite extends KyuubiFunSuite {
         s"$msTimeCost ms",
         s"$rowsPerMilliSecond rows/ms")
       // scalastyle:on
+      msTimeCost
     }
 
-    def singleColumn(field: StructField, index: Int, protocolVersion: TProtocolVersion): Unit = {
+    def singleColumn(
+        field: StructField,
+        index: Int,
+        protocolVersion: TProtocolVersion): BigDecimal = {
       benchmarkToTRowSet(
         field.getComment().getOrElse(field.dataType.typeName),
         allRows.map(row => Row(row.get(index))).asInstanceOf[Seq[Row]],
@@ -325,13 +329,22 @@ class RowSetSuite extends KyuubiFunSuite {
           "Rows/ms")
         // scalastyle:on
 
-        benchmarkToTRowSet("with all types", allRows, schema, protocolVersion)
-        schemaStructFields.zipWithIndex.foreach { case (field, index) =>
+        val totalMsCost = schemaStructFields.zipWithIndex.map { case (field, index) =>
           singleColumn(field, index, protocolVersion)
-        }
-
+        }.sum
+        val totalRowsPerMilliSecond: BigDecimal = (BigDecimal(rowCount) / totalMsCost)
+          .setScale(3, RoundingMode.HALF_UP)
         // scalastyle:off
         println()
+        printf(
+          "%20s %20s %20s\n",
+          "sum(all types)",
+          s"$totalMsCost ms",
+          s"$totalRowsPerMilliSecond rows/ms")
+        benchmarkToTRowSet("with all types", allRows, schema, protocolVersion)
+
+        println()
+        println()
         // scalastyle:on
       }
   }