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PYSPARK • LESSON 100

Compound Multi-Key Join Conditions

How do we join sales figures to target quotas matching simultaneously on region and fiscal year?

Advanced2 Minutes540 XP
🤔 THE QUESTION

How do we join sales figures to target quotas matching simultaneously on region and fiscal year?

💡 WHAT IS IT?

Using the bitwise & operator between multiple join equality conditions to join on composite business keys.

🎯 WHAT IS IT USED FOR?

Financial budget tracking, multi-region quota audits, and temporal dimension joins.

💻 EXAMPLE
from pyspark.sql.functions import col

joined_df = sales.join(
    targets,
    (col("sales.region_id") == col("targets.region_id")) &
    (col("sales.fiscal_year") == col("targets.fiscal_year")),
    "inner"
)

🎯 Mission Objectives

Practice typing production-grade PySpark code for Compound Multi-Key Join Conditions.

  • Combine multiple equality conditions with &
  • Match on composite business keys
  • Produce aligned regional sales comparison