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PYSPARK โ€ข LESSON 68

Dropping Corrupted Rows with dropna()

How do we drop records where critical business keys (order_id or customer_id) are missing?

Intermediateโฑ 2 Minutesโญ 350 XP
๐Ÿค” THE QUESTION

How do we drop records where critical business keys (order_id or customer_id) are missing?

๐Ÿ’ก WHAT IS IT?

dropna(subset=[...]) drops rows containing NULL values within the specified subset of columns.

๐ŸŽฏ WHAT IS IT USED FOR?

Enforcing mandatory relational constraints before loading into star-schema data warehouses.

๐Ÿ’ป EXAMPLE
df = df.dropna(subset=["order_id", "customer_id"])

๐ŸŽฏ Mission Objectives

Practice typing production-grade PySpark code for Dropping Corrupted Rows with dropna().

  • โœ“ Use dropna() with subset parameter
  • โœ“ Drop rows missing primary or foreign keys
  • โœ“ Enforce relational completeness