diff --git a/docs/streams/developer-guide/dsl-api.html b/docs/streams/developer-guide/dsl-api.html index 33648f39b1961..8304c7b76e427 100644 --- a/docs/streams/developer-guide/dsl-api.html +++ b/docs/streams/developer-guide/dsl-api.html @@ -870,6 +870,12 @@

Stateful transformations depend on state for processing inputs and producing outputs and require a state store associated with the stream processor. For example, in aggregating operations, a windowing state store is used to collect the latest aggregation results per window. In join operations, a windowing state store is used to collect all of the records received so far within the defined window boundary.

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Note: Following store types are used regardless of the possibly specified type (via the parameter materialized): +

Note, that state stores are fault-tolerant. In case of failure, Kafka Streams guarantees to fully restore all state stores prior to resuming the processing. See Fault Tolerance for further information.