Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/13286#discussion_r64976764
--- Diff: python/pyspark/sql/readwriter.py ---
@@ -500,6 +500,26 @@ def mode(self, saveMode):
self._jwrite = self._jwrite.mode(saveMode)
return self
+ @since(2.0)
+ def outputMode(self, outputMode):
+ """Specifies how data of a streaming DataFrame/Dataset is written
to a streaming sink.
+
+ Options include:
+
+ * `append`:Only the new rows in the streaming DataFrame/Dataset
will be written to
+ the sink
+ * `complete`:All the rows in the streaming DataFrame/Dataset will
be written to the sink
+ every time these is some updates
--- End diff --
I want to write something that makes sense generally, without understanding
trigger and all. As is, since the trigger is optional, one does not need to
know about triggers at all to start running stuff in structured streaming.
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