Capstone Part 1: Schema Enforcement on Dirty JSON Payloads

How can we enforce an explicit multi-level StructType schema on raw unstructured JSON event payloads?

Production⏱ 3 Minutes⭐ 800 XP

🤔 THE QUESTION

How can we enforce an explicit multi-level StructType schema on raw unstructured JSON event payloads?

💡 WHAT IS IT?

from_json() with strict StructType parses raw string payloads while quarantining malformed records safely.

🎯 WHAT IS IT USED FOR?

Bronze-layer raw ingestion in production enterprise lakehouses.

💻 EXAMPLE

schema = StructType([StructField("event_id", StringType(), False), StructField("user_id", StringType(), False), StructField("amount", DoubleType(), True), StructField("timestamp", StringType(), True)])
df_parsed = df_raw.withColumn("data", from_json(col("payload"), schema)).select("data.*")

🎯 Mission Objectives

Practice typing production-grade PySpark code for Capstone Part 1: Schema Enforcement on Dirty JSON Payloads.

✓ Strict StructType schema
✓ from_json() parsing
✓ Bronze ingestion validation

🚀 Start Mission

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