Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/17179#discussion_r106566062
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala ---
@@ -249,6 +250,43 @@ class KeyValueGroupedDataset[K, V] private[sql](
dataAttributes,
OutputMode.Update,
isMapGroupsWithState = true,
+ KeyedStateTimeout.none,
+ child = logicalPlan))
+ }
+
+ /**
+ * ::Experimental::
+ * (Scala-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 [[org.apache.spark.sql.streaming.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 timeout Timeout information for groups that do not receive
data for a while
--- End diff --
added to the main explanation in KeyedState
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