PySpark UDF Explained | Use Same UDF in PySpark, Scala & SQL

Опубликовано: 13 Май 2026
на канале: DataBeli
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In this video, we’ll understand what is a UDF (User Defined Function) in PySpark and why it’s used. You’ll learn how to create, register, and use UDFs in PySpark, Scala, and SQL — along with best practices to make your Spark jobs faster and more efficient.

What you’ll learn:

🧠 What is a UDF (User Defined Function) and when to use it

⚙️ Why UDFs in Scala are preferred over Python UDFs

💡 Difference between PySpark functions vs UDFs

🧩 How to create a UDF in PySpark using regex (custom logic example)

🏗️ How to register a UDF so it can be used across PySpark, Scala & SQL

🚀 Performance impact — why Scala UDFs run faster than Python UDFs

💬 How to use registered UDFs directly in SQL queries

#pyspark #pysparktutorial #databricks #databrickstutorial