Pandas UDF and Python Type Hint in Apache Spark 3.0

Описание к видео Pandas UDF and Python Type Hint in Apache Spark 3.0

In the past several years, the pandas UDFs are perhaps the most important changes to Apache Spark for Python data science. However, these functionalities have evolved organically, leading to some inconsistencies and confusions among users. In Apache Spark 3.0, the pandas UDFs were redesigned by leveraging type hints. By using Python type hints, you can naturally express pandas UDFs without requiring such as the evaluation type. Also, pandas UDFs are now more ‘Pythonic’ and let themselves define what the UDF is supposed to input and output with the clear definition. Moreover, it allows many benefits such as easier static analysis. In this talk, I will introduce the redesigned pandas UDFs with type hints in Apache Spark 3.0 with a technical overview.

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