SQL - User-Defined Functions (UDF)
SQL Server supports three primary UDF types: scalar functions, inline table-valued functions (iTVF), and multi-statement table-valued functions (mTVF). Each type has specific performance…
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Spark SQL - UDF (User Defined Functions) Guide
User Defined Functions in Spark SQL allow you to extend Spark’s built-in functionality with custom logic. However, they come with significant trade-offs. When you use a UDF, Spark’s Catalyst…
Read more →Spark Scala - UDF (User Defined Functions)
User Defined Functions (UDFs) in Spark let you extend the built-in function library with custom logic. When you need to apply business rules, complex string manipulations, or domain-specific…
Read more →How to Use UDF in PySpark
PySpark’s built-in functions cover most data transformation needs, but real-world data is messy. You’ll inevitably encounter scenarios where you need custom logic: proprietary business rules, complex…
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