UUID Pitfalls in Spark β Kafka β Postgres Pipelines
I was building a data pipeline using Kafka and Spark structured streaming. Fully containerized. The stack: Kafka for streaming transaction data Spark Structured Streaming for real-time processing and fraud detection Postgres as the data warehouse Everything was smooth. Until one tiny villain showed up: UUID fields. Yes β UUIDs. Hereβs exactly what happened (so you can avoid the same headache). β The Original Design I designed the tables in Postgres like this: ...