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PYSPARK • LESSON 153

Introduction to Vectorized pandas_udf

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

Expert2 Minutes800 XP
🤔 THE QUESTION

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

💡 WHAT IS IT?

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

🎯 WHAT IS IT USED FOR?

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

💻 EXAMPLE
import pandas as pd
from pyspark.sql.functions import pandas_udf

🎯 Mission Objectives

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

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