sririshindra commented on a change in pull request #28173: 
[SPARK-31389][SQL][TESTS] Ensure all tests in SQLMetricsSuite run with both 
codegen on and off
URL: https://github.com/apache/spark/pull/28173#discussion_r408307690
 
 

 ##########
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsTestUtils.scala
 ##########
 @@ -214,14 +214,16 @@ trait SQLMetricsTestUtils extends SQLTestUtils {
   protected def testSparkPlanMetrics(
       df: DataFrame,
       expectedNumOfJobs: Int,
-      expectedMetrics: Map[Long, (String, Map[String, Any])]): Unit = {
+      expectedMetrics: Map[Long, (String, Map[String, Any])],
+      enableWholeStage: Boolean = false): Unit = {
     val expectedMetricsPredicates = expectedMetrics.mapValues { case 
(nodeName, nodeMetrics) =>
       (nodeName, nodeMetrics.mapValues(expectedMetricValue =>
         (actualMetricValue: Any) => {
           actualMetricValue.toString.matches(expectedMetricValue.toString)
         }))
     }
-    testSparkPlanMetricsWithPredicates(df, expectedNumOfJobs, 
expectedMetricsPredicates)
+    testSparkPlanMetricsWithPredicates(df, expectedNumOfJobs, 
expectedMetricsPredicates,
 
 Review comment:
   @maropu 
   The expectedMetricsPredicates can vary with codegenEnabled=true and 
codegenEnabled=false. 
   
   Also the test "WholeStageCodegen metrics"  needs to run 
testSparkPlanMetricsWithPredicates method with only codegenEnabled=true. So if 
we change the method to run with both configurations then the test 
"WholeStageCodegen metrics"  will fail. 
   
   The dataframe (variable df) needs to fresh for every call of 
testSparkPlanMetricsWithPredicates. The dataframe should not be reused or else 
the metrics will change causing the tests to fail.

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