Question

我正在尝试编写基于多处理池的装饰，但它不起作用，并且无法捕获异常，显示我的代码：

def handle_request(response):
    print str(response)

def run_in_process(process_num):
    def _run_in_process(f):
        def __run_in_process(*args, **kwargs):
            pool = multiprocessing.Pool(processes=process_num)
            for i in range(process_num):
                pool.apply_async(f, args=args, kwds=kwargs, callback=kwargs.get("callback"))
            pool.close()
            pool.join()

        return __run_in_process

    return _run_in_process


@run_in_process(process_num)
def main():
    http_client = AsyncHTTPClient()
    http_client.fetch(url, callback=handle_request)
    global loop
    loop = tornado.ioloop.IOLoop.instance()
    if loop._running is False:
        loop.start()


if __name__ == '__main__':
    main()

显示我的日志：

/usr/bin/python2.7 /home/workspace/py_project/crawler/center/sample.py
Process finished with exit code 0

但是当我改变方式时，当我使用多处理时，它运行良好，就像：

def handle_request(response):
    print str(response)

def run_in_process(process_num):
    def _run_in_process(f):
        def __run_in_process(*args, **kwargs):
            _processes = []
            for i in xrange(process_num):
                p = multiprocessing.Process(target=f, args=args, kwargs=kwargs)
                p.start()
                _processes.append(p)

            for p in _processes:
                p.join()

        return __run_in_process
    return _run_in_process


@run_in_process(process_num)
def main():
    http_client = AsyncHTTPClient()
    http_client.fetch(url, callback=handle_request)
    global loop
    loop = tornado.ioloop.IOLoop.instance()
    if loop._running is False:
        loop.start()


if __name__ == '__main__':
    main()

显示我的日志：

/usr/bin/python2.7 /home/workspace/py_project/crawler/center/sample.py
HTTPResponse(_body=None,buffer=<_io.BytesIO object at 0x7f2fdaa21ef0>,code=200,effective_url='http://www.baidu.com',error=None,headers=<tornado.httputil.HTTPHeaders object at 0x7f2fdaa425d0>,reason='OK',request=<tornado.httpclient.HTTPRequest object at 0x7f2fdaa42250>,request_time=0.014312028884887695,time_info={})
HTTPResponse(_body=None,buffer=<_io.BytesIO object at 0x7f2fdaa21ef0>,code=200,effective_url='http://www.baidu.com',error=None,headers=<tornado.httputil.HTTPHeaders object at 0x7f2fdaa43450>,reason='OK',request=<tornado.httpclient.HTTPRequest object at 0x7f2fdaa430d0>,request_time=0.02327895164489746,time_info={})
HTTPResponse(_body=None,buffer=<_io.BytesIO object at 0x7f2fdaa21ef0>,code=200,effective_url='http://www.baidu.com',error=None,headers=<tornado.httputil.HTTPHeaders object at 0x7f2fdaa43510>,reason='OK',request=<tornado.httpclient.HTTPRequest object at 0x7f2fdaa43190>,request_time=0.026951074600219727,time_info={})
HTTPResponse(_body=None,buffer=<_io.BytesIO object at 0x7f2fdaa21ef0>,code=200,effective_url='http://www.baidu.com',error=None,headers=<tornado.httputil.HTTPHeaders object at 0x7f2fdaa42690>,reason='OK',request=<tornado.httpclient.HTTPRequest object at 0x7f2fdaa42310>,request_time=0.0552978515625,time_info={})
HTTPResponse(_body=None,buffer=<_io.BytesIO object at 0x7f2fdaa24ef0>,code=200,effective_url='http://www.baidu.com',error=None,headers=<tornado.httputil.HTTPHeaders object at 0x7f2fdaa39e10>,reason='OK',request=<tornado.httpclient.HTTPRequest object at 0x7f2fdaa39a90>,request_time=0.05612993240356445,time_info={})

我无法理解发生了什么，同样的事情发生在gevent上。 konw请帮助我。

Answer 1

如果调度函数引发异常，则Python 2.7中的multiprocessing.Pool不会运行回调。这在Python 3中修复了添加error_callback。

我建议您按如下方式修改内部循环以实际查看错误：

results = []

pool = multiprocessing.Pool(processes=process_num)
for i in range(process_num):
    result = pool.apply_async(f, args=args, kwds=kwargs, callback=kwargs.get("callback"))
    results.append(result)

for result in results:
    result.get()  # this will raise the exception in the worker

pool.close()
pool.join()

Python多处理池在装饰中不起作用

1 个答案: