zhengruifeng commented on code in PR #53952:
URL: https://github.com/apache/spark/pull/53952#discussion_r2730532354


##########
python/pyspark/sql/conversion.py:
##########
@@ -63,17 +63,18 @@ class ArrowBatchTransformer:
     """
 
     @staticmethod
-    def flatten_struct(batch: "pa.RecordBatch") -> "pa.RecordBatch":
+    def flatten_struct(batch: "pa.RecordBatch", column_index: int = 0) -> 
"pa.RecordBatch":
         """
-        Flatten a single struct column into a RecordBatch.
+        Flatten a struct column at given index into a RecordBatch.
 
         Used by:
             - ArrowStreamUDFSerializer.load_stream
             - GroupArrowUDFSerializer.load_stream
+            - ArrowStreamArrowUDTFSerializer.load_stream
         """
         import pyarrow as pa
 
-        struct = batch.column(0)
+        struct = batch.column(column_index)

Review Comment:
   since the function only flatten the `column_index`-th column, shouldn't it 
take `arr: pa.Array | pa.ChunkedArray` as input?



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