viirya commented on a change in pull request #33683:
URL: https://github.com/apache/spark/pull/33683#discussion_r689247394
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File path: docs/structured-streaming-programming-guide.md
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@@ -1792,7 +1792,85 @@ hence the number is not same as the number of original
input rows. You'd like to
There's a known workaround: split your streaming query into multiple queries
per stateful operator, and ensure
end-to-end exactly once per query. Ensuring end-to-end exactly once for the
last query is optional.
-### State Store and task locality
+### State Store
+
+State store is a versioned key-value store which provides both read and write
operations. In
+structured streaming, we use the state store provider to handle the stateful
operations across
Review comment:
You use `Structured Streaming` below. Either `Structured Streaming` or
`structured streaming` are okay, just better to keep consistent.
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