Reading and Writing Compressed JSON Payloads

How can we write semi-structured data as Gzip-compressed newline-delimited JSON files for external partner sharing?

Expert⏱ 3 Minutes⭐ 850 XP

🤔 THE QUESTION

How can we write semi-structured data as Gzip-compressed newline-delimited JSON files for external partner sharing?

💡 WHAT IS IT?

Using format('json') with compression='gzip' produces compressed NDJSON files with standardized headers.

🎯 WHAT IS IT USED FOR?

Exporting partner integration feeds and archiving unstructured sensor event payloads.

💻 EXAMPLE

df.write.format("json").option("compression", "gzip").mode("overwrite").save("s3://lakehouse/exports/partners/")

Practice typing production-grade PySpark code for Reading and Writing Compressed JSON Payloads.