allisonwang-db commented on code in PR #42027:
URL: https://github.com/apache/spark/pull/42027#discussion_r1265949390
##########
python/pyspark/sql/tests/test_utils.py:
##########
@@ -648,17 +649,25 @@ def test_assert_error_pandas_df(self):
self.check_error(
exception=pe.exception,
- error_class="UNSUPPORTED_DATA_TYPE",
- message_parameters={"data_type": pd.DataFrame},
+ error_class="INVALID_TYPE_DF_EQUALITY_ARG",
+ message_parameters={
+ "expected_type": DataFrame,
+ "arg_name": "df",
+ "actual_type": pd.DataFrame,
Review Comment:
Just curious, what will the error message look like in this case? Is it
clear that the method expects a pyspark dataframe instead of a pandas dataframe?
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