xuanyuanking commented on a change in pull request #33683:
URL: https://github.com/apache/spark/pull/33683#discussion_r689241474
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File path: docs/structured-streaming-programming-guide.md
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@@ -1814,6 +1814,82 @@ Specifically for built-in HDFS state store provider,
users can check the state s
it is best if cache missing count is minimized that means Spark won't waste
too much time on loading checkpointed state.
User can increase Spark locality waiting configurations to avoid loading state
store providers in different executors across batches.
+### 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 state
store operations crossing
+batches. There are two build-in state store provider implementations. End
users can also implement
Review comment:
Thanks done in 7de4b21.
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