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Under the new API design, transforms should not perform any work until the data is being consumed. This is a fundamental principle.
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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.
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