Major Description
Currently, we don't support BinaryType in Pandas UDFs:
>>> from pyspark.sql.functions import pandas_udf >>> pudf = pandas_udf(lambda x: x, "binary") >>> df = spark.createDataFrame([[bytearray("a")]]) >>> df.select(pudf("_1")).show() ... TypeError: Unsupported type in conversion to Arrow: BinaryType
Also, the grouped aggregate Pandas UDF fail fast on ArrayType but seems we can support this case.
We should better clarify it in doc in Pandas UDFs, and fail fast with type checking ahead, rather than execution time.
Please consider this case:
pandas_udf(lambda x: x, BinaryType()) # we can fail fast at this stage because we know the schema ahead
