Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/6578#discussion_r31497064
--- Diff: python/pyspark/sql/readwriter.py ---
@@ -194,6 +219,48 @@ def __init__(self, df):
self._sqlContext = df.sql_ctx
self._jwrite = df._jdf.write()
+ def mode(self, saveMode):
+ """
+ Specifies the behavior when data or table already exists. Options
include:
+
+ * `append`: Append contents of this :class:`DataFrame` to existing
data.
+ * `overwrite`: Overwrite existing data.
+ * `error`: Throw an exception if data already exists.
+ * `ignore`: Silently ignore this operation if data already exists.
+ """
+ self._jwrite = self._jwrite.mode(saveMode)
+ return self
+
+ @since(1.4)
+ def format(self, source):
+ """
+ Specifies the underlying output data source. Built-in options
include
+ "parquet", "json", etc.
+ """
+ self._jwrite = self._jwrite.format(source)
+ return self
+
+ @since(1.4)
+ def options(self, **options):
+ """
+ Adds output options for the underlying data source.
+ """
+ for k in options:
+ self._jwrite = self._jwrite.option(k, options[k])
+ return self
+
+ @since(1.4)
+ def partitionBy(self, *cols):
+ """
+ Partitions the output by the given columns on the file system.
+ If specified, the output is laid out on the file system similar
+ to Hive's partitioning scheme.
+
+ :param cols: name of columns
+ """
+ self._jwrite =
self._jwrite.partitionBy(_to_seq(self._sqlContext._sc, cols))
--- End diff --
would be great to support the 1st argument being a list
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