Restore mode partitionBy

Author: itholic

docs/sql-data-sources-orc.md

@@ -187,25 +187,6 @@ Data source options of ORC can be set via:
     <td>sets whether we should merge schemas collected from all ORC part-files. This will override <code>spark.sql.orc.mergeSchema</code>. The default value is specified in <code>spark.sql.orc.mergeSchema</code>.</td>
     <td>read</td>
   </tr>
-  <tr>
-    <td><code>mode</code></td>
-    <td>None</td>
-    <td>specifies the behavior of the save operation when data already exists.<br>
-    <ul>
-      <li><code>append</code>: Append contents of this <a href="https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.DataFrame.html#pyspark.sql.DataFrame"> DataFrame</a> to existing data.</li>
-      <li><code>overwrite</code>: Overwrite existing data.</li>
-      <li><code>ignore</code>: Silently ignore this operation if data already exists.</li>
-      <li><code>error</code> or <code>errorifexists</code> (default case)</code>: Throw an exception if data already exists.</li>
-    </ul>
-    </td>
-    <td>write</td>
-  </tr>
-  <tr>
-    <td><code>partitionBy</code></td>
-    <td>None</td>
-    <td>names of partitioning columns</td>
-    <td>write</td>
-  </tr>
   <tr>
     <td><code>compression</code></td>
     <td>None</td>

python/pyspark/sql/readwriter.py

@@ -1394,6 +1394,15 @@ def orc(self, path, mode=None, partitionBy=None, compression=None):
         ----------
         path : str
             the path in any Hadoop supported file system
+        mode : str, optional
+            specifies the behavior of the save operation when data already exists.
+            * ``append``: Append contents of this :class:`DataFrame` to existing data.
+            * ``overwrite``: Overwrite existing data.
+            * ``ignore``: Silently ignore this operation if data already exists.
+            * ``error`` or ``errorifexists`` (default case): Throw an exception if data already \
+                exists.
+        partitionBy : str or list, optional
+            names of partitioning columns
 
         Other Parameters
         ----------------