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PYSPARK • LESSON 211

Multi-Column Null Validation

How can we filter records ensuring that mandatory primary and foreign key columns contain no null values?

Advanced3 Minutes800 XP
🤔 THE QUESTION

How can we filter records ensuring that mandatory primary and foreign key columns contain no null values?

💡 WHAT IS IT?

Combining isNotNull() predicates across critical business keys guarantees referential integrity at ingestion.

🎯 WHAT IS IT USED FOR?

Enforcing required fields before loading data into relational warehouse star schemas.

💻 EXAMPLE
df_valid_keys = df.filter(col("customer_id").isNotNull() & col("order_id").isNotNull() & col("store_id").isNotNull())

🎯 Mission Objectives

Practice typing production-grade PySpark code for Multi-Column Null Validation.

  • Multi-column isNotNull()
  • Mandatory key validation
  • Data integrity filtering