srowen commented on code in PR #36545:
URL: https://github.com/apache/spark/pull/36545#discussion_r875033677
##########
python/pyspark/sql/session.py:
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@@ -570,10 +570,20 @@ def _inferSchemaFromList(
if not data:
raise ValueError("can not infer schema from empty dataset")
infer_dict_as_struct = self._jconf.inferDictAsStruct()
+ infer_array_from_first_element =
self._jconf.legacyInferArrayTypeFromFirstElement()
Review Comment:
Wait, this seems like the wrong behavior. StringType should be inferred for
this column, as it is now. I don't see a reason to break this? don't we want to
just find the widest applicable type?
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