jingz-db commented on code in PR #48686:
URL: https://github.com/apache/spark/pull/48686#discussion_r1830096213
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sql/core/src/test/scala/org/apache/spark/sql/streaming/TransformWithStateInitialStateSuite.scala:
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@@ -83,6 +98,49 @@ abstract class StatefulProcessorWithInitialStateTestClass[V]
}
}
+/**
+ * Stateful processor that will take a union dataframe output from state data
source reader,
+ * with flattened state data source rows.
+ */
+class InitialStatefulProcessorWithStateDataSource
+ extends StatefulProcessorWithInitialStateTestClass[UnionInitialStateRow] {
+ override def handleInitialState(
+ key: String, initialState: UnionInitialStateRow, timerValues:
TimerValues): Unit = {
+ if (initialState.value.isDefined) {
+ _valState.update(initialState.value.get.toDouble)
+ } else if (initialState.listValue.isDefined) {
+ _listState.appendValue(initialState.listValue.get.toDouble)
+ } else if (initialState.userMapKey.isDefined) {
+ _mapState.updateValue(
+ (initialState.userMapKey.get.charAt(0) - 'a').toDouble,
+ initialState.userMapValue.get.toInt)
+ }
+ }
+}
+
+/**
+ * Stateful processor that will take a union dataframe output from state data
source reader,
+ * with composite type state data source rows.
Review Comment:
Done. Modified handle initial state to be simply put the values in the
initialState dataframe into state variables.
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