jingz-db commented on code in PR #49560:
URL: https://github.com/apache/spark/pull/49560#discussion_r1962980520
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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 {
+ // (Required) Time mode string for transformWithState.
+ string time_mode = 1;
+
+ // (Required) Output mode string for transformWithState.
+ string output_mode = 2;
+
+ // (Optional) Event time column name.
+ optional string event_time_column_name = 3;
+
+ // (Optional) Schema for the output DataFrame.
+ // Only required used for TransformWithStateInPandas.
+ optional string output_schema = 4;
Review Comment:
This schema is only used for Python. Scala is a typed language so in Scala,
we will be able to infer the output schema from output row type and this entry
is not needed.
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