Remove out-of-date doc.

Author: viirya

python/pyspark/sql/readwriter.py

@@ -509,8 +509,6 @@ def func(iterator):
     def orc(self, path):
         """Loads ORC files, returning the result as a :class:`DataFrame`.
 
-        .. note:: Currently ORC support is only available together with Hive support.
-
         >>> df = spark.read.orc('python/test_support/sql/orc_partitioned')
         >>> df.dtypes
         [('a', 'bigint'), ('b', 'int'), ('c', 'int')]
@@ -950,8 +948,6 @@ def csv(self, path, mode=None, compression=None, sep=None, quote=None, escape=No
     def orc(self, path, mode=None, partitionBy=None, compression=None):
         """Saves the content of the :class:`DataFrame` in ORC format at the specified path.
 
-        .. note:: Currently ORC support is only available together with Hive support.
-
         :param path: the path in any Hadoop supported file system
         :param mode: specifies the behavior of the save operation when data already exists.
 

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

@@ -679,7 +679,6 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
    *
    * @param path input path
    * @since 1.5.0
-   * @note Currently, this method can only be used after enabling Hive support.
    */
   def orc(path: String): DataFrame = {
     // This method ensures that calls that explicit need single argument works, see SPARK-16009
@@ -691,7 +690,6 @@ class DataFrameReader private[sql](sparkSession: SparkSession) extends Logging {
    *
    * @param paths input paths
    * @since 2.0.0
-   * @note Currently, this method can only be used after enabling Hive support.
    */
   @scala.annotation.varargs
   def orc(paths: String*): DataFrame = format("orc").load(paths: _*)

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

@@ -615,7 +615,6 @@ final class DataFrameWriter[T] private[sql](ds: Dataset[T]) {
    * </ul>
    *
    * @since 1.5.0
-   * @note Currently, this method can only be used after enabling Hive support
    */
   def orc(path: String): Unit = {
     format("orc").save(path)