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PYSPARK • LESSON 202

Nested Struct Transformations

How can we create a nested StructType column grouping multiple related scalar attributes together?

Advanced3 Minutes810 XP
🤔 THE QUESTION

How can we create a nested StructType column grouping multiple related scalar attributes together?

💡 WHAT IS IT?

The struct() function packages multiple discrete columns into a single nested composite struct without data duplication.

🎯 WHAT IS IT USED FOR?

Constructing hierarchical domain models, preparing nested payloads for APIs, or organizing dimensional entities.

💻 EXAMPLE
df_nested = df.withColumn("address", struct(col("street"), col("city"), col("state"), col("postal_code")))

🎯 Mission Objectives

Practice typing production-grade PySpark code for Nested Struct Transformations.

  • struct() function
  • Grouping related attributes
  • Nested schema construction