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PYSPARK • LESSON 28

Renaming Columns with alias()

How do we rename projected columns to conform to standard data warehouse naming conventions?

Beginner2 Minutes180 XP
🤔 THE QUESTION

How do we rename projected columns to conform to standard data warehouse naming conventions?

💡 WHAT IS IT?

alias() assigns a new output name to a Column expression during projection.

🎯 WHAT IS IT USED FOR?

Standardizing column names, disambiguating join keys, and conforming to data warehouse dimensional schemas.

💻 EXAMPLE
from pyspark.sql.functions import col

df.select(
    col("customer_id").alias("client_id"),
    col("email").alias("contact_email")
).show()

🎯 Mission Objectives

Practice typing production-grade PySpark code for Renaming Columns with alias().

  • Import col function
  • Chain alias() to rename projected fields
  • Display standardized customer columns