diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
index b48a58691ce85..6680cdf91d959 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala
@@ -17,8 +17,6 @@
 
 package org.apache.spark.sql
 
-import org.apache.spark.sql.sources.SaveMode
-
 import scala.reflect.ClassTag
 
 import org.apache.spark.annotation.{DeveloperApi, Experimental}
@@ -26,10 +24,10 @@ import org.apache.spark.api.java.JavaRDD
 import org.apache.spark.rdd.RDD
 import org.apache.spark.storage.StorageLevel
 import org.apache.spark.sql.catalyst.plans.logical._
+import org.apache.spark.sql.sources.SaveMode
 import org.apache.spark.sql.types.StructType
 import org.apache.spark.util.Utils
 
-
 private[sql] object DataFrame {
   def apply(sqlContext: SQLContext, logicalPlan: LogicalPlan): DataFrame = {
     new DataFrameImpl(sqlContext, logicalPlan)
@@ -627,6 +625,7 @@ trait DataFrame extends RDDApi[Row] {
 
   /**
    * :: Experimental ::
+   * (Scala-specific)
    * Creates a table from the the contents of this DataFrame based on a given data source
    * and a set of options.
    * If appendIfExists is true and the table already exists,
@@ -688,6 +687,7 @@ trait DataFrame extends RDDApi[Row] {
 
   /**
    * :: Experimental ::
+   * (Scala-specific)
    * Saves the contents of this DataFrame based on the given data source and a set of options.
    */
   @Experimental
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
index 6212d7f4f09bd..a0ee1102748e6 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
@@ -412,7 +412,6 @@ class SQLContext(@transient val sparkContext: SparkContext)
   /**
    * :: Experimental ::
    * Loads a dataset from the given path as a DataFrame based on a given data source.
-   * It will use the default data source configured in spark.sql.sources.default.
    */
   @Experimental
   def load(
@@ -434,6 +433,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
 
   /**
    * :: Experimental ::
+   * (Scala-specific)
    * Loads a dataset based on a given data source and a set of options.
    */
   @Experimental
@@ -458,6 +458,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
 
   /**
    * :: Experimental ::
+   * (Scala-specific)
    * Loads a dataset based on a given data source, a schema and a set of options.
    */
   @Experimental
@@ -508,6 +509,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
 
   /**
    * :: Experimental ::
+   * (Scala-specific)
    * Creates an external table from the given path based on a data source and a set of options.
    * Then, returns the corresponding DataFrame.
    */
@@ -545,6 +547,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
 
   /**
    * :: Experimental ::
+   * (Scala-specific)
    * Create an external table from the given path based on a data source, a schema and
    * a set of options. Then, returns the corresponding DataFrame.
    */