seniorApache Spark
Exactly-Once Semantics in Structured Streaming.
Updated May 5, 2026
Short answer
Exactly-once is achieved via replayable sources, idempotent sinks, and stateful checkpoints.
Deep explanation
Spark records the offset range processed in a checkpoint. If it crashes, it restarts from the last committed offset. If the sink is idempotent (like a file system or Delta Lake), re-writing the same data won't cause duplicates.
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