UT: Add more test

Author: karuppayya

sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala

@@ -57,8 +57,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
       val data = Seq(("James", 1), ("James", 1), ("Phil", 1))
       val aggDF = data.toDF("name", "values").groupBy("name").sum("values")
       val partAggNode = aggDF.queryExecution.executedPlan.find {
-        case h: HashAggregateExec
-          if AggUtils.areAggExpressionsPartial(h.aggregateExpressions) => true
+        case h: HashAggregateExec =>
+          AggUtils.areAggExpressionsPartial(h.aggregateExpressions.map(_.mode))
         case _ => false
       }
       checkAnswer(aggDF, Seq(Row("James", 2), Row("Phil", 1)))
@@ -69,6 +69,33 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
     }
   }
 
+  test(s"Partial aggregation should not happen when no Aggregate expr" ) {
+    withSQLConf((SQLConf.SKIP_PARTIAL_AGGREGATE_ENABLED.key, "true")) {
+      val aggDF = testData2.select(sumDistinct($"a"))
+      val aggNodes = aggDF.queryExecution.executedPlan.collect {
+        case h: HashAggregateExec => h
+      }
+      checkAnswer(aggDF, Row(6))
+      assert(aggNodes.nonEmpty)
+      Thread.sleep(1000000)
+      assert(aggNodes.forall(_.metrics("partialAggSkipped").value == 0))
+    }
+  }
+
+  test(s"Distinct: Partial aggregation should happen for" +
+    s" HashAggregate nodes performing partial Aggregate operations " ) {
+    withSQLConf((SQLConf.SKIP_PARTIAL_AGGREGATE_ENABLED.key, "true")) {
+      val aggDF = testData2.select(sumDistinct($"a"), sum($"b"))
+      val aggNodes = aggDF.queryExecution.executedPlan.collect {
+        case h: HashAggregateExec => h
+      }
+      val (baseNodes, other) = aggNodes.partition(_.child.isInstanceOf[SerializeFromObjectExec])
+      checkAnswer(aggDF, Row(6, 9))
+      assert(baseNodes.size == 1 )
+      assert(baseNodes.head.metrics("partialAggSkipped").value == testData2.count())
+      assert(other.forall(_.metrics("partialAggSkipped").value == 0))
+    }
+  }
 
   test("Aggregate with grouping keys should be included in WholeStageCodegen") {
     val df = spark.range(3).groupBy(col("id") * 2).count().orderBy(col("id") * 2)