Python fix. Added Experimental flag to DataFrameNaFunctions.

Author: rxin

python/pyspark/sql/context.py

@@ -316,8 +316,7 @@ def registerDataFrameAsTable(self, df, tableName):
         >>> sqlCtx.registerDataFrameAsTable(df, "table1")
         """
         if (rdd.__class__ is DataFrame):
-            df = rdd._jdf
-            self._ssql_ctx.registerDataFrameAsTable(df, tableName)
+            self._ssql_ctx.registerDataFrameAsTable(df._jdf, tableName)
         else:
             raise ValueError("Can only register DataFrame as table")
 

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

@@ -21,14 +21,17 @@ import java.{lang => jl}
 
 import scala.collection.JavaConversions._
 
+import org.apache.spark.annotation.Experimental
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.types._
 
 
 /**
+ * :: Experimental ::
  * Functionality for working with missing data in [[DataFrame]]s.
  */
+@Experimental
 final class DataFrameNaFunctions private[sql](df: DataFrame) {
 
   /**