龙卷风是否可以并发？ [英] Is concurrency possible in tornado?

问题描述

我了解龙卷风是单线程且非阻塞的服务器，因此请求是按顺序处理的（使用事件驱动方法进行IO操作时除外）。

I understand tornado is a single threaded and non-Blocking server, hence requests are handled sequentially (except when using event driven approach for IO operation).

一种在龙卷风中并行处理多个请求以进行正常（非IO）执行的方法。我无法分叉多个进程，因为我需要跨请求使用一个公共内存空间。

Is there a way to process multiple requests parallel in tornado for normal(non-IO) execution. I can't fork multiple process since I need a common memory space across requests.

如果无法实现，请向我建议其他可以处理并行请求的Python服务器，支持wsgi。

If its not possible please suggest to me other python servers which can handle parallel request and also supports wsgi.

推荐答案

如果您确实要处理多个受计算限制的同时请求，而您想在Python中执行此操作，则需要一个多进程服务器，而不是多线程。 CPython具有全局解释器锁定（GIL），可以防止多个线程同时执行python字节码。

If you are truly going to be dealing with multiple simultaneous requests that are compute-bound, and you want to do it in Python, then you need a multi-process server, not multi-threaded. CPython has Global Interpreter Lock (GIL) that prevents more than one thread from executing python bytecode at the same time.

大多数Web应用程序只执行很少的计算，而是在等待从数据库，磁盘或其他服务器上的服务进行I / O操作。在丢弃龙卷风之前，请确保您需要处理受计算限制的请求。

Most web applications do very little computation, and instead are waiting for I/O, either from the database, or the disk, or from services on other servers. Be sure you need to handle compute-bound requests before discarding Tornado.

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