hvanhovell commented on code in PR #49560:
URL: https://github.com/apache/spark/pull/49560#discussion_r1962639324
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sql/connect/common/src/main/protobuf/spark/connect/relations.proto:
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@@ -1031,6 +1031,26 @@ message GroupMap {
// (Optional) The schema for the grouped state.
optional DataType state_schema = 10;
+
+ // Below fields are used by TransformWithState and TransformWithStateInPandas
+ // (Optional) TransformWithState related parameters.
+ optional TransformWithStateInfo transform_with_state_info = 11;
+}
+
+// Additional input parameters used for TransformWithState operator.
+message TransformWithStateInfo {
Review Comment:
BTW I think this starts to break down when there is too little overlap
between the various implementations. So I supposed the question is how
different is TransformWithState from for example FlatMapGroupsWithState?
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