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PYSPARK โ€ข LESSON 153

Introduction to Vectorized pandas_udf

How do we import Pandas and the pandas_udf decorator for vectorized PySpark processing?

Expertโฑ 2 Minutesโญ 800 XP
๐Ÿค” THE QUESTION

How do we import Pandas and the pandas_udf decorator for vectorized PySpark processing?

๐Ÿ’ก WHAT IS IT?

pandas_udf utilizes Apache Arrow to pass batches of records as Pandas Series for vectorized computation.

๐ŸŽฏ WHAT IS IT USED FOR?

High-performance scientific computing, ML model scoring, and statistical transformations in Spark.

๐Ÿ’ป EXAMPLE
import pandas as pd
from pyspark.sql.functions import pandas_udf

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Introduction to Vectorized pandas_udf.

  • โœ“ Import pandas and pandas_udf
  • โœ“ Understand Apache Arrow vectorized execution
  • โœ“ Prepare environment for vectorized UDFs