autoreload 线程进程管理并发的处理方法

Django autoreload

https://github.com/django/django/blob/9386586f31b8a0bccf59a1bff647cd829d4e79aa/django/utils/autoreload.py

django/core/management/commands/runserver.py ---> handler = self.get_handler(*args, **options)
run(self.addr, int(self.port), handler,
ipv6=self.use_ipv6, threading=threading, server_cls=self.server_cls)----> django/dispatch/dispatcher.py ---> def init(self, providing_args=None, use_caching=False):
"""
Create a new signal.
providing_args
A list of the arguments this signal can pass along in a send() call.
"""
self.receivers = []
if providing_args is None:
providing_args = []
self.providing_args = set(providing_args)
self.lock = threading.Lock()
self.use_caching = use_caching

https://github.com/python/cpython/blob/master/Lib/socketserver.py

For request-based servers (including socket-based):
- how to handle multiple requests:
- synchronous (one request is handled at a time)
- forking (each request is handled by a new process)
- threading (each request is handled by a new thread)

# poll/select have the advantage of not requiring any extra file descriptor,
# contrarily to epoll/kqueue (also, they require a single syscall).

Another approach to handling multiple simultaneous requests in an
environment that supports neither threads nor fork (or where these are
too expensive or inappropriate for the service) is to maintain an
explicit table of partially finished requests and to use a selector to
decide which request to work on next (or whether to handle a new
incoming request). This is particularly important for stream services
where each client can potentially be connected for a long time (if
threads or subprocesses cannot be used).

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autoreload 线程进程管理并发的处理方法

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巴特西

autoreload 线程 进程管理 并发的处理方法

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autoreload 线程进程管理并发的处理方法