Задержанные в Венгрии украинские инкассаторы вернулись на родину

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Армия России продвинулась в Сумской области14:51

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To solve the problem of infrequently accessed payloads filling up our disk space, we'd prefer all of our hot payloads are stored in Postgres (primarily in toast tables), while cold payloads are offloaded to S3 with a reference stored in the database for full consistency. This would give us fast access for latency-sensitive workloads but flexible and cheap storage for older tasks, where latency isn't a concern.

That said, it's important to recognize that locking in itself is not bad. It does, in fact, serve an important purpose to ensure that applications properly and orderly consume or produce data. The key challenge is with the original manual implementation of it using APIs like getReader() and releaseLock(). With the arrival of automatic lock and reader management with async iterables, dealing with locks from the users point of view became a lot easier.

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