Skip to main content
PYSPARK โ€ข LESSON 211

Multi-Column Null Validation

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

Advancedโฑ 3 Minutesโญ 800 XP
๐Ÿค” THE QUESTION

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

๐Ÿ’ก WHAT IS IT?

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

๐ŸŽฏ WHAT IS IT USED FOR?

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

๐Ÿ’ป EXAMPLE
df_valid_keys = df.filter(col("customer_id").isNotNull() & col("order_id").isNotNull() & col("store_id").isNotNull())

๐ŸŽฏ Mission Objectives

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

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