HeartSaVioR commented on code in PR #50600:
URL: https://github.com/apache/spark/pull/50600#discussion_r2048050612
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sql/core/src/main/scala/org/apache/spark/sql/classic/RelationalGroupedDataset.scala:
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@@ -479,6 +505,24 @@ class RelationalGroupedDataset protected[sql](
timeModeStr: String,
initialState: RelationalGroupedDataset,
eventTimeColumnName: String): DataFrame = {
+ _transformWithStateInPySpark(
+ func,
+ outputStructType,
+ outputModeStr,
+ timeModeStr,
+ initialState,
+ eventTimeColumnName,
+ TransformWithStateInPySpark.UserFacingDataType.PANDAS)
+ }
+
+ private def _transformWithStateInPySpark(
+ func: Column,
+ outputStructType: StructType,
+ outputModeStr: String,
+ timeModeStr: String,
+ initialState: RelationalGroupedDataset,
+ eventTimeColumnName: String,
+ userFacingDataType:
TransformWithStateInPySpark.UserFacingDataType.Value): DataFrame = {
Review Comment:
I'm not sure this is complicated - what else you want to propose?
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