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Wednesday, August 29, 2018

pyspark user defined function


https://stackoverflow.com/questions/34803855/pyspark-dataframe-udf-on-text-column


2 comments:

  1. **PySpark User Defined Function (UDF)** explains how custom Python functions can be applied to Spark DataFrames when built-in Spark functions are not sufficient. A UDF allows users to create their own logic and apply it to one or more DataFrame columns, such as converting values, categorizing data, or performing custom calculations. In **Data Analytics**, PySpark UDFs are useful for transforming and preparing large datasets before analysis. For example, a UDF can convert customer ages into groups such as *Young, Adult,* and *Senior*.PySpark Course. However, UDFs can be slower than built-in PySpark functions because of the additional Python processing, so built-in functions are generally preferred when available.

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