Skip to main content
PYSPARK • LESSON 29

Multi-Column Structured Projection

How do we select and organize multiple employee profile columns in a single projection?

Beginner2 Minutes185 XP
🤔 THE QUESTION

How do we select and organize multiple employee profile columns in a single projection?

💡 WHAT IS IT?

Passing multiple Column references into select() to define the precise schema structure for downstream tasks.

🎯 WHAT IS IT USED FOR?

Preparing clean feature matrices for machine learning and filtering enterprise ERP feeds.

💻 EXAMPLE
from pyspark.sql.functions import col

df.select(
    col("emp_id"),
    col("first_name"),
    col("last_name"),
    col("salary")
).show()

🎯 Mission Objectives

Practice typing production-grade PySpark code for Multi-Column Structured Projection.

  • Project structured employee attributes
  • Maintain clean code formatting
  • Output curated employee dataset