Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/12320#discussion_r59922003
--- Diff: python/pyspark/sql/readwriter.py ---
@@ -426,6 +488,68 @@ def save(self, path=None, format=None, mode=None,
partitionBy=None, **options):
else:
self._jwrite.save(path)
+ @ignore_unicode_prefix
+ @since(2.0)
+ def startStream(self, path=None, format=None, mode=None,
partitionBy=None,
+ queryName=None, checkpointLocation=None, trigger=None,
**options):
+ """Saves the contents of the :class:`DataFrame` to a data source.
+
+ The data source is specified by the ``format`` and a set of
``options``.
+ If ``format`` is not specified, the default data source configured
by
+ ``spark.sql.sources.default`` will be used.
+
+ :param path: the path in a Hadoop supported file system
+ :param format: the format used to save
+ :param mode: 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`` (default case): Throw an exception if data already
exists.
+ :param partitionBy: names of partitioning columns
+ :param queryName: unique name for the query
+ :param trigger: Set the trigger for the stream query. The default
value is
+ `ProcessingTime(0)` and it will run as fast as possible.
+ :param checkpointLocation: An optional location for checkpointing
state and metadata.
--- End diff --
Hmmm, we should figure that out. I'd like the APIs to match where possible.
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