allisonwang-db commented on code in PR #42915: URL: https://github.com/apache/spark/pull/42915#discussion_r1327519954
########## python/pyspark/worker.py: ########## @@ -810,28 +847,26 @@ def check_return_value(res): }, ) - def evaluate(*args: pd.Series, **kwargs: pd.Series): - if len(args) == 0 and len(kwargs) == 0: + def evaluate(*args: pd.Series): + if len(args) == 0: res = func() check_return_value(res) yield verify_result(pd.DataFrame(res)), arrow_return_type else: # Create tuples from the input pandas Series, each tuple # represents a row across all Series. - keys = list(kwargs.keys()) - len_args = len(args) - row_tuples = zip(*args, *[kwargs[key] for key in keys]) + row_tuples = zip(*args) for row in row_tuples: - res = func( - *row[:len_args], - **{key: row[len_args + i] for i, key in enumerate(keys)}, - ) + res = func(*row) check_return_value(res) yield verify_result(pd.DataFrame(res)), arrow_return_type return evaluate - eval = wrap_arrow_udtf(getattr(udtf, "eval"), return_type) + eval_func_kwargs_support, args_kwargs_offsets = wrap_kwargs_support( Review Comment: It would be really good to comment here on why we need to wrap the kwargs separately. This can provide valuable context for those who work on this code in the future. :) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org