SPARK-1822: Some minor cleanup work on SchemaRDD.count()

python/pyspark/sql.py

@@ -323,7 +323,10 @@ def saveAsTable(self, tableName):
 
     def count(self):
         """
-        Return the number of elements in this RDD.
+        Return the number of elements in this RDD. Unlike the base RDD
+        implementation of count, this implementation leverages the query
+        optimizer to compute the count on the SchemaRDD, which supports
+        features such as filter pushdown.
 
         >>> srdd = sqlCtx.inferSchema(rdd)
         >>> srdd.count()

sql/core/src/main/scala/org/apache/spark/sql/SchemaRDD.scala

@@ -276,12 +276,12 @@ class SchemaRDD(
 
   /**
    * :: Experimental ::
-   * Overriding base RDD implementation to leverage query optimizer
+   * Return the number of elements in the RDD. Unlike the base RDD implementation of count, this
+   * implementation leverages the query optimizer to compute the count on the SchemaRDD, which
+   * supports features such as filter pushdown.
    */
   @Experimental
-  override def count(): Long = {
-    groupBy()(Count(Literal(1))).collect().head.getLong(0)
-  }
+  override def count(): Long = groupBy()(Count(Literal(1))).collect().head.getLong(0)
 
   /**
    * :: Experimental ::

sql/core/src/test/scala/org/apache/spark/sql/DslQuerySuite.scala

@@ -124,7 +124,7 @@ class DslQuerySuite extends QueryTest {
   }
 
   test("zero count") {
-    assert(testData4.count() === 0)
+    assert(emptyTableData.count() === 0)
   }
 
   test("inner join where, one match per row") {

sql/core/src/test/scala/org/apache/spark/sql/TestData.scala

@@ -47,7 +47,7 @@ object TestData {
       (1, null) ::
       (2, 2) :: Nil)
 
-  val testData4 = logical.LocalRelation('a.int, 'b.int)
+  val emptyTableData = logical.LocalRelation('a.int, 'b.int)
 
   case class UpperCaseData(N: Int, L: String)
   val upperCaseData =