dianfu commented on a change in pull request #11656: [FLINK-16983][python]
Support RowType in vectorized Python UDF
URL: https://github.com/apache/flink/pull/11656#discussion_r406629141
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File path: flink-python/pyflink/table/tests/test_pandas_udf.py
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@@ -165,6 +165,12 @@ def nested_array_func(nested_array_param):
'nested_array_param of wrong type %s !' %
type(nested_array_param[0])
return pd.Series(nested_array_param[0])
+ def row_func(row_param):
+ assert isinstance(row_param, pd.Series)
+ assert isinstance(row_param[0], dict), \
Review comment:
I think this will be handled internally by Arrow, e.g. it could identify the
order of the columns according to the field names and so I think there is no
order problems. What do you think?
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