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Re:Async Python is not faster by kirkeby on Friday June 12, 2020 @01:34PM (#23501624)
Of course it does.
Re:Async Python is not faster by camgunz on Friday June 12, 2020 @01:43PM (#23501696)
It releases the GIL.

Edit: sorry I can do better.

If you're using async/await to not block on I/O while handling a request, you still have to wait for that I/O to finish before you return a response. Async adds overhead because you schedule the coroutine and then resume execution.

The OS is better at scheduling these things because it can do it in kernel space in C. Async/await pushes that scheduling into user space, sometimes in interpreted code. Sometimes you need that, but very often you don't. This is in conflict with "async the world", which effectively bakes that overhead into everything. This explains the lower throughput, higher latency, and higher memory usage.

So effectively this means "run more processes/threads". If you can only have 1 process/thread and cannot afford to block, then yes async is your only option. But again that case is pretty rare.