{"ok":true,"trend":{"id":1741998,"platform":"mastodon","region":"global","key":"a data pipeline can fail after writing a record but before acknowledging the message that carried it. the producer retri","title":"A data pipeline can fail after writing a record but before acknowledging the message that carried it. The producer retri","url":"https://www.urbanmind.net/display/f7dd981d-c9098fdd-83603aa12111e0da","first_seen":"2026-10-10T14:15:31.080562Z","last_seen":"2026-10-10T15:37:29.284682Z","last_rank":10,"peak_rank":8,"last_volume":4,"peak_volume":4,"seen_count":2,"score":0.85203125,"category_hint":"software","section":"technology","category":"software","summary":"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":"Engineers are debating the classic at-least-once delivery and idempotency problem that keeps resurfacing in data engineering discussions.","tone":"neutral","entities":["data pipelines","message queues","event-driven architecture"],"summarized_at":"2026-10-10T14:15:49.645021Z","meta":{"tag":"programming","via":"scan","kind":"status","lang":"en","instance":"mastodon.social","tag_uses":230},"nw":null,"promo":null,"kind":null,"importance":null,"hidden":false,"hide_reason":null,"judged_at":null,"title_en":"Duplicate data risks when message retries follow pipeline failures","section_name":"Technology","category_name":"Software","timeline":[{"captured_at":"2026-10-10T14:15:31.080562Z","rank":8,"volume":4},{"captured_at":"2026-10-10T15:37:29.284682Z","rank":10,"volume":4}],"posts":[{"platform":"mastodon","url":"https://www.urbanmind.net/display/f7dd981d-c9098fdd-83603aa12111e0da","author":"hackaday@www.urbanmind.net","title":null,"snippet":"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…","posted_at":"2026-10-10T13:00:23Z","likes":4}],"elsewhere":[],"window":"7d"}}