Mmastodon TechnologySoftware first seen 1 d ago, last 1 d ago, peak #8
Duplicate data risks when message retries follow pipeline failures
Original: A data pipeline can fail after writing a record but before acknowledging the message that carried it. The producer retri
A distributed systems problem is being discussed: a data pipeline can write a record, then fail before acknowledging the message that carried it. The producer retries, the same event arrives again, and a consumer that inserts a new row each time turns a transient failure into duplicate data. Commenters highlight idempotent processing and deduplication as the fix, especially in streaming and event-driven architectures.
Why now: Engineers are debating the classic at-least-once delivery and idempotency problem that keeps resurfacing in data engineering discussions.
data pipelinesmessage queuesevent-driven architecture
Rank over time, top of the chart is #1. 2 snapshots from 1 d ago to 1 d ago.
Evidence
- A data pipeline can fail after writing a record but before acknowledging the message that carried it. The producer retries. The same event arrives again. If the consumer inserts a new row every time, a transient failure becomes duplicate data. This problem is especially… · hackaday@www.urbanmind.net · 4
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