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PYSPARK • LESSON 162

Writing Structured JSON Files

How do we export DataFrames as line-delimited JSON files for downstream microservice consumption?

Expert2 Minutes860 XP
🤔 THE QUESTION

How do we export DataFrames as line-delimited JSON files for downstream microservice consumption?

💡 WHAT IS IT?

df.write.mode('overwrite').json(path) serializes DataFrame records into newline-delimited JSON objects.

🎯 WHAT IS IT USED FOR?

Publishing event payloads to message queues, REST API caching tiers, and document databases.

💻 EXAMPLE
df.write.mode("overwrite").json("output/events_json")

🎯 Mission Objectives

Practice typing production-grade PySpark code for Writing Structured JSON Files.

  • Export DataFrame to JSON format
  • Enable idempotent overwrite mode
  • Output line-delimited JSON records