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EUR.0,200.00KEYGENWIN´s.02.*Q:

How to handle large number of requests concurrently in python

I am making a server in python. Currently, I am doing client request and after processing I will output result. Till now i was using threads. But problem is, some of the clients will make a lot of request and some request will take a very small amount of time to get output. Is there a way I can make a server that can do as much concurrent request as it can?

A:

That’s the standard way to handle this in python (as opposed to some exotic ideas in your specific hardware’s driver).
There’s a subtle but important difference between multiple threads that share data and multiple threads that share memory: even if you have multiple threads that share a piece of data, only one thread can be active. This means that the threads are „serialised“. You can have as many threads as you like, but they’re limited to one request at a time. The same goes for fork() and threads, they share this limit.

A:

Since you have stated it is a high-volume server, it sounds like you want to do as much work in parallel as you can. You said you already had created threads, but you did not explain how you were handling them. As stated in the other answers and my own, making threads is not the best way to do this; threads are quite expensive (they are like lightweight processes, albeit with some shared data), and if you have many short-running things to do, you are not getting much performance out of them.
Multiple processes is probably the best way to go. You can use multiprocessing.Process to handle the synchronization and communication with your worker processes. To get your multiple worker processes going, see the multiprocessing.Pool (or threading.ThreadPool) module.

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