hequn8128 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_r406036867
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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:
It is strange to return `dict` type while the input type is `Row`. And there
is no order guarantee for the field in dict which maybe not consistent with the
semantic of Row.
Is it possible to convert the pd.Series into a Series contains Row?
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