Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/7229#discussion_r34158530
--- Diff: docs/streaming-programming-guide.md ---
@@ -854,6 +854,8 @@ it with new information. To use this, you will have to
do two steps.
1. Define the state update function - Specify with a function how to
update the state using the
previous state and the new values from an input stream.
+Spark will run the `updateStateByKey` operation for all existing keys,
regardless of whether they have new data in a batch or not. If
`updateStateByKey` returns None then the key-value pair will be eliminated.
--- End diff --
Sorry to go around one more time on this, but I think the text should be
sharpened slightly. "operation" might be better as "update function", and it's
a question of what the update function returns, not updateStateByKey. (`None`
can be code font too.)
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