Fix: Address review comments

Author: karuppayya

sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala

@@ -2173,8 +2173,8 @@ object SQLConf {
       .checkValue(bit => bit >= 10 && bit <= 30, "The bit value must be in [10, 30].")
       .createWithDefault(16)
 
-  val SPILL_PARTIAL_AGGREGATE_DISABLED =
-    buildConf("spark.sql.aggregate.spill.partialaggregate.disabled")
+  val SKIP_PARTIAL_AGGREGATE_ENABLED =
+    buildConf("spark.sql.aggregate.partialaggregate.skip.enabled")
       .internal()
       .doc("Avoid sort/spill to disk during partial aggregation")
       .booleanConf
@@ -2893,7 +2893,7 @@ class SQLConf extends Serializable with Logging {
 
   def fastHashAggregateRowMaxCapacityBit: Int = getConf(FAST_HASH_AGGREGATE_MAX_ROWS_CAPACITY_BIT)
 
-  def spillInPartialAggregationDisabled: Boolean = getConf(SPILL_PARTIAL_AGGREGATE_DISABLED)
+  def spillInPartialAggregationDisabled: Boolean = getConf(SKIP_PARTIAL_AGGREGATE_ENABLED)
 
   def datetimeJava8ApiEnabled: Boolean = getConf(DATETIME_JAVA8API_ENABLED)
 

sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala

@@ -74,8 +74,8 @@ case class HashAggregateExec(
     "peakMemory" -> SQLMetrics.createSizeMetric(sparkContext, "peak memory"),
     "spillSize" -> SQLMetrics.createSizeMetric(sparkContext, "spill size"),
     "aggTime" -> SQLMetrics.createTimingMetric(sparkContext, "time in aggregation build"),
-    "partialAggSkipped" -> SQLMetrics.createMetric(sparkContext, "Num records" +
-      " skipped partial aggregation skipped"),
+    "partialAggSkipped" -> SQLMetrics.createMetric(sparkContext,
+      "number of skipped records for partial aggregates"),
     "avgHashProbe" ->
       SQLMetrics.createAverageMetric(sparkContext, "avg hash probe bucket list iters"))
 

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

@@ -52,7 +52,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
   }
 
   test(s"Avoid spill in partial aggregation" ) {
-    withSQLConf((SQLConf.SPILL_PARTIAL_AGGREGATE_DISABLED.key, "true")) {
+    withSQLConf((SQLConf.SKIP_PARTIAL_AGGREGATE_ENABLED.key, "true")) {
       // Create Dataframes
       val data = Seq(("James", 1), ("James", 1), ("Phil", 1))
       val aggDF = data.toDF("name", "values").groupBy("name").sum("values")