How does Scala support streaming ETL pipelines with fault recovery?
Updated May 24, 2026
Short answer
Streaming ETL pipelines use checkpointing, replay logs, and idempotent transformations for recovery.
Deep explanation
Scala streaming systems (Spark Structured Streaming, Akka Streams, FS2) implement fault-tolerant ETL pipelines using checkpointing and event replay. Kafka offsets act as source-of-truth markers. If failure occurs, processing resumes from last checkpoint. Idempotent transformations ensure correctness during reprocessing.
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