Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/7229#discussion_r34311348
--- 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` update function for all existing
keys, regardless of whether they have new data in a batch or not. If the update
function returns `None` then the key-value pair will be eliminated.
--- End diff --
This whole section is about `updateStateByKey` so saying it again here is
superfluous. Just "run the update function". Also I would clarify further: "In
every batch, Spark will apply the update function for all... ". It wasnt clear
that whether it was for every batch or overall.
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