HeartSaVioR commented on code in PR #53122:
URL: https://github.com/apache/spark/pull/53122#discussion_r2594456672
##########
python/pyspark/sql/pandas/serializers.py:
##########
@@ -2009,20 +2009,21 @@ def row_stream():
for i, c in
enumerate(flatten_state_table.itercolumns())
]
+ flatten_init_table = flatten_columns(batch, "initState")
+ init_data_pandas = [
+ self.arrow_to_pandas(c, i)
+ for i, c in enumerate(flatten_init_table.itercolumns())
+ ]
+
if bool(data_pandas):
Review Comment:
While I think XOR is still representing the criteria better (it's implicit
that we wouldn't have a case where neither inputData nor initState have data,
but while we are here), it's not a big deal and it's OK to go with implicit
assumption. Looks OK to me.
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