Idempotency in data ingestion pipelines
WHAT IT TESTS: reliability under retries. OUTLINE: idempotency means re-running a step yields the same result with no duplicates; it matters because retries and at-least-once delivery are inevitable; achieve it with deduplication keys or upserts.
WHAT IT TESTS: whether you design pipelines that survive retries without corrupting data. ANSWER OUTLINE: idempotency means applying an operation multiple times produces the same end state as applying it once, so reprocessing the same input causes no duplicates or drift. It is critical because failures, retries, and at-least-once messaging guarantee that records will be delivered or processed more than once. A common technique is keying writes by a stable deduplication or natural key and using upserts, or recording processed-batch markers.
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- #reliability
- #data-engineering
- #fault-tolerance
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