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SQS, however, throws a wrench in the works. I was initially very surprised by the paper’s description of SQS (the 2008 version). It said that a queue might hold 200 messages, but a client requesting 100 could randomly receive only 20. This is because, to provide low latency, SQS does a best-effort poll of a subset of its distributed servers and immediately returns whatever it finds. But don’t worry, the other messages aren’t lost. They sit on servers not checked in that round. But the price of this low-latency is that FIFO ordering isn’t guaranteed. The database handles this mess by making log records idempotent, and ensures that out-of-order or duplicate processing never corrupts data.
本报北京3月2日电 (记者谷业凯)我国生成式人工智能用户规模和普及率快速提升。中国互联网络信息中心发布的第五十七次《中国互联网络发展状况统计报告》显示:截至2025年12月,我国生成式人工智能用户达6.02亿人,较2024年底增长141.7%;普及率达42.8%,同比大幅提高25.2个百分点。“十四五”时期,生成式人工智能加速融入生产生活,成为推动我国经济社会数字化、智能化转型的重要引擎。