Github user tdas commented on a diff in the pull request: https://github.com/apache/spark/pull/17179#discussion_r106566078 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala --- @@ -284,6 +322,38 @@ class KeyValueGroupedDataset[K, V] private[sql]( /** * ::Experimental:: + * (Java-specific) + * Applies the given function to each group of data, while maintaining a user-defined per-group + * state. The result Dataset will represent the objects returned by the function. + * For a static batch Dataset, the function will be invoked once per group. For a streaming + * Dataset, the function will be invoked for each group repeatedly in every trigger, and + * updates to each group's state will be saved across invocations. + * See [[KeyedState]] for more details. + * + * @tparam S The type of the user-defined state. Must be encodable to Spark SQL types. + * @tparam U The type of the output objects. Must be encodable to Spark SQL types. + * @param func Function to be called on every group. + * @param stateEncoder Encoder for the state type. + * @param outputEncoder Encoder for the output type. + * @param timeout Timeout information for groups that do not receive data for a while --- End diff -- response same as above.
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