{"id":117190,"date":"2026-10-22T21:08:44","date_gmt":"2026-10-22T13:08:44","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/117190.html"},"modified":"2026-10-22T21:08:44","modified_gmt":"2026-10-22T13:08:44","slug":"%e3%80%90%e5%ad%a6%e4%b9%a0%e5%bf%83%e5%be%97%e3%80%91python%e5%a4%9a%e8%bf%9b%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/117190.html","title":{"rendered":"\u3010\u5b66\u4e60\u5fc3\u5f97\u3011Python\u591a\u8fdb\u7a0b"},"content":{"rendered":"

\u4e00\u3001\u591a\u4efb\u52a1\u7684\u6982\u5ff5<\/h2>\n

（1）\u591a\u4efb\u52a1\u662f\u4ec0\u4e48<\/h3>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u591a\u4efb\u52a1\u6307\u64cd\u4f5c\u7cfb\u7edf\u5728\u540c\u4e00\u65f6\u95f4\u6bb5\u5185\u6267\u884c\u591a\u4e2a\u4efb\u52a1\u7684\u80fd\u529b\u3002<\/span>\u6ce8\u610f\u8fd9\u91cc\u662f\u65f6\u95f4\u95f4\u9694\u6216\u65f6\u95f4\u6bb5，\u800c\u975e\u65f6\u523b\u3002\u591a\u4efb\u52a1\u7684\u5b9e\u73b0\u4f9d\u8d56\u4e8e\u64cd\u4f5c\u7cfb\u7edf\u7684\u8c03\u5ea6\u7b97\u6cd5（\u5982\u65f6\u95f4\u7247\u8f6e\u8f6c\u3001\u4f18\u5148\u7ea7\u8c03\u5ea6）\u3002<\/p>\n

（2）\u5e76\u53d1\u4e0e\u5e76\u884c<\/h3>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u5e76\u53d1：\u6307\u4e24\u4e2a\u6216\u591a\u4e2a\u65f6\u95f4\u5728\u540c\u4e00\u65f6\u95f4\u95f4\u9694\u5185\u53d1\u751f\u3002\u8fd9\u4e9b\u4e8b\u4ef6\u5b8f\u89c2\u4e0a\u662f\u540c\u65f6\u53d1\u751f\u7684，\u4f46\u5fae\u89c2\u4e0a\u662f\u4ea4\u66ff\u53d1\u751f\u7684\u3002<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u5e76\u884c：\u6307\u4e24\u4e2a\u6216\u591a\u4e2a\u4e8b\u4ef6\u5728\u540c\u4e00\u65f6\u523b\u540c\u65f6\u53d1\u751f\u3002<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u5355\u6838CPU\u540c\u4e00\u65f6\u523b\u53ea\u80fd\u6267\u884c\u4e00\u4e2a\u7a0b\u5e8f，\u5404\u4e2a\u7a0b\u5e8f\u53ea\u80fd\u5e76\u53d1\u5730\u6267\u884c\u3002\u591a\u6838CPU\u540c\u4e00\u65f6\u523b\u53ef\u4ee5\u540c\u65f6\u6267\u884c\u591a\u4e2a\u7a0b\u5e8f，\u591a\u4e2a\u7a0b\u5e8f\u53ef\u4ee5\u5e76\u884c\u5730\u6267\u884c\u3002\u6bd4\u59824\u6838CPU\u4ecb\u610f\u5e76\u884c\u6267\u884c4\u4e2a\u7a0b\u5e8f\u3002<\/p>\n

（3）\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\u548cIO\u5bc6\u96c6\u578b\u4efb\u52a1<\/h3>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u8ba1\u7b97\u5bc6\u96c6\u578b\u53c8\u53ebCPU\u5bc6\u96c6\u578b\u4efb\u52a1，\u5b83\u7684\u7279\u70b9\u662f\u8981\u8fdb\u884c\u5927\u91cf\u8ba1\u7b97，\u6d88\u8017CPU\u8d44\u6e90\u3002\u6bd4\u5982\u6d6e\u70b9\u8fd0\u7b97\u548c\u89c6\u9891\u89e3\u7801\u7b49，\u8fd9\u4e9b\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\u867d\u7136\u53ef\u4ee5\u7528\u591a\u4efb\u52a1\u5b8c\u6210，\u4f46\u4efb\u52a1\u8d8a\u591a，\u82b1\u5728\u4efb\u52a1\u5207\u6362\u7684\u65f6\u95f4\u5c31\u8d8a\u591a，CPU\u6267\u884c\u4efb\u52a1\u7684\u6548\u7387\u5c31\u8d8a\u4f4e，\u6240\u4ee5，\u8981\u6700\u9ad8\u6548\u5730\u5229\u7528CPU，\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\u540c\u65f6\u8fdb\u884c\u7684\u6570\u91cf\u5e94\u5f53\u7b49\u4e8eCPU\u7684\u6838\u5fc3\u6570\u3002<\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 IO\u5bc6\u96c6\u578b\u4efb\u52a1\u4e00\u822c\u662f\u6d89\u53ca\u7f51\u7edc\u3001\u78c1\u76d8IO\u7684\u4efb\u52a1\u3002\u8fd9\u7c7b\u4efb\u52a1\u7684\u7279\u70b9\u662fCPU\u6d88\u8017\u5c11，\u4efb\u52a1\u7684\u5927\u90e8\u5206\u65f6\u95f4\u90fd\u5728\u7b49\u5f85IO\u64cd\u4f5c\u5b8c\u6210，\u56e0\u4e3aIO\u7684\u901f\u5ea6\u8fdc\u8fdc\u4f4e\u4e8eCPU\u548c\u5185\u5b58\u7684\u901f\u5ea6\u3002\u5bf9\u4e8eIO\u5bc6\u96c6\u578b\u4efb\u52a1，\u4efb\u52a1\u591a，CPU\u6548\u7387\u8d8a\u9ad8，\u4f46\u4e5f\u6709\u9650\u5ea6\u3002\u5e38\u89c1\u7684\u5927\u90e8\u5206\u4efb\u52a1\u90fd\u662fIO\u5bc6\u96c6\u578b\u4efb\u52a1，\u6bd4\u5982WEB\u5e94\u7528\u3002<\/p>\n

（4）\u8fdb\u7a0b\u4e0e\u7ebf\u7a0b\u7684\u5b9a\u4e49<\/h3>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u7a0b\u5e8f =\u00a0\u6570\u636e\u7ed3\u6784 + \u7b97\u6cd5\u3002<\/span>\u6570\u636e\u7ed3\u6784\u662f\u7a0b\u5e8f\u7684\u9aa8\u67b6\u4e0e\u9759\u6001\u57fa\u7840，\u5b83\u5b9a\u4e49\u4e86\u6570\u636e\u5728\u5185\u5b58\u4e2d\u7684\u7ec4\u7ec7\u3001\u5b58\u50a8\u548c\u7ba1\u7406\u65b9\u5f0f，\u51b3\u5b9a\u4e86\u6570\u636e\u8bbf\u95ee\u6548\u7387\u548c\u7a7a\u95f4\u5360\u7528\u3002\u7b97\u6cd5\u662f\u7a0b\u5e8f\u7684\u7075\u9b42\u548c\u52a8\u6001\u903b\u8f91\u3002\u5b83\u5b9a\u4e49\u4e86\u6570\u636e\u8fdb\u884c\u64cd\u4f5c\u7684\u6b65\u9aa4\u3001\u6d41\u7a0b\u548c\u8ba1\u7b97\u89c4\u5219，\u51b3\u5b9a\u4e86\u7a0b\u5e8f\u7684\u65f6\u95f4\u590d\u6742\u5ea6\u548c\u529f\u80fd\u6b63\u786e\u6027\u3002<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u8fdb\u7a0b\u662f\u8fd0\u884c\u4e2d\u7684\u7a0b\u5e8f\u3002<\/span>\u8fdb\u7a0b\u662f\u8d44\u6e90\u5206\u914d\u7684\u57fa\u672c\u5355\u4f4d，\u8fdb\u7a0b\u4e4b\u95f4\u7684\u6570\u636e\u548c\u5185\u5b58\u662f\u4e0d\u5171\u4eab\u7684，\u8fdb\u7a0b\u95f4\u76f8\u4e92\u9694\u79bb\u3002\u6bcf\u542f\u52a8\u4e00\u4e2a\u8fdb\u7a0b，\u90fd\u8981\u72ec\u7acb\u5206\u914d\u8d44\u6e90\u548c\u62f7\u8d1d\u8bbf\u95ee\u7684\u6570\u636e，\u6240\u4ee5\u8fdb\u7a0b\u7684\u521b\u5efa\u3001\u9500\u6bc1\u548c\u5207\u6362\u7684\u4ee3\u4ef7\u662f\u6bd4\u8f83\u5927\u3002<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u7ebf\u7a0b\u662fCPU\u8c03\u5ea6\u7684\u57fa\u672c\u5355\u4f4d，\u5b83\u88ab\u5305\u542b\u5728\u8fdb\u7a0b\u4e4b\u4e2d，\u662f\u8fdb\u7a0b\u4e2d\u7684\u5b9e\u9645\u8fd0\u4f5c\u5355\u4f4d，\u4e00\u6761\u7ebf\u7a0b\u6307\u7684\u662f\u8fdb\u7a0b\u4e2d\u4e00\u4e2a\u5355\u4e00\u987a\u5e8f\u7684\u63a7\u5236\u6d41，\u4e00\u4e2a\u8fdb\u7a0b\u4e2d\u53ef\u4ee5\u5e76\u53d1\u591a\u4e2a\u7ebf\u7a0b，\u6bcf\u6761\u7ebf\u7a0b\u5e76\u53d1\u6267\u884c\u4e0d\u540c\u7684\u4efb\u52a1\u3002\u540c\u4e00\u4e2a\u8fdb\u7a0b\u5185\u7684\u7ebf\u7a0b\u5171\u4eab\u8be5\u8fdb\u7a0b\u7684\u5185\u5b58\u7a7a\u95f4（\u5806\u3001\u5168\u5c40\u53d8\u91cf），\u4f46\u62e5\u6709\u72ec\u7acb\u7684\u6808\u548c\u5bc4\u5b58\u5668\u3002\u7ebf\u7a0b\u7684\u521b\u5efa\u548c\u5207\u6362\u5f00\u9500\u5c0f，\u4f46\u9700\u8981\u6ce8\u610f\u6570\u636e\u7ade\u4e89\u4e0e\u540c\u6b65\u3002<\/p>\n\n\u7ef4\u5ea6\u8fdb\u7a0b\u7ebf\u7a0b<\/tr>\n\n\n\n\n\n\n
\u5185\u5b58<\/td>\n\u72ec\u7acb\u5730\u5740\u7a7a\u95f4<\/td>\n\u5171\u4eab\u8fdb\u7a0b\u5185\u5b58<\/td>\n<\/tr>\n
\u901a\u4fe1<\/td>\nIPC（Queue\/Pipe\/\u5171\u4eab\u5185\u5b58）<\/td>\n\u76f4\u63a5\u8bfb\u5199\u5171\u4eab\u53d8\u91cf（\u9700\u9501）<\/td>\n<\/tr>\n
\u5065\u58ee\u6027<\/td>\n\u9ad8（\u4e92\u76f8\u9694\u79bb）<\/td>\n\u4f4e（\u4e00\u4e2a\u5d29\u53ef\u80fd\u5168\u5d29）<\/td>\n<\/tr>\n
GIL\u5f71\u54cd<\/td>\n\u65e0（\u771f\u6b63\u5e76\u884c）<\/td>\n\u6709（CPU\u5bc6\u96c6\u578b\u65e0\u6548）<\/td>\n<\/tr>\n
\u9002\u7528\u573a\u666f<\/td>\nCPU\u5bc6\u96c6\u578b\u3001\u9ad8\u53ef\u9760\u6027\u8981\u6c42<\/td>\nIO\u5bc6\u96c6\u578b\u3001\u8f7b\u91cf\u7ea7\u4efb\u52a1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4e8c\u3001Python\u4e2d\u5982\u4f55\u521b\u5efa\u4e00\u4e2a\u8fdb\u7a0b<\/h2>\n

Python\u63d0\u4f9b\u4e86\u8de8\u5e73\u53f0\u7684\u591a\u8fdb\u7a0b\u6a21\u5757\u00a0multiprocessing<\/p>\n

（1）\u65b9\u6cd5\u4e00：\u76f4\u63a5\u5b9e\u4f8b\u5316Process\u7c7b<\/h3>\n

\"\"<\/p>\n

# demo.py
\nfrom multiprocessing import Process<\/p>\n

def worker(name):
\n print(f"\u5b50\u8fdb\u7a0b {name} \u5f00\u59cb…")<\/p>\n

if __name__ == "__main__":
\n print("\u4e3b\u8fdb\u7a0b\u5f00\u59cb…")
\n p = Process(target=worker, args=('test', ))
\n p.start() # \u542f\u52a8\u5b50\u8fdb\u7a0b
\n p.join() # \u963b\u585e\u5f53\u524d\u8fdb\u7a0b，\u7b49\u5f85\u5b50\u8fdb\u7a0b\u6267\u884c\u7ed3\u675f<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u3010\u6ce8\u3011\u8fd9\u91cc\u9700\u8981\u660e\u786e\u4e3b\u8fdb\u7a0b\u548c\u5b50\u8fdb\u7a0b\u3002\u5f53\u6211\u4eec\u901a\u8fc7Python\u89e3\u91ca\u5668\u6765\u6267\u884cdemo.py\u7a0b\u5e8f\u65f6，\u7a0b\u5e8f\u88ab\u8d4b\u4e88\u4e86\u58f0\u660e，\u6210\u4e3a\u4e00\u4e2a\u8fdb\u7a0b，\u8fd9\u4e2a\u8fdb\u7a0b\u662f\u4e3b\u8fdb\u7a0b\u3002\u800c\u5728\u4e3b\u8fdb\u7a0b\u6267\u884c\u8fc7\u7a0b\u4e2d，\u901a\u8fc7\u5bf9Process\u7c7b\u8fdb\u884c\u5b9e\u4f8b\u5316\u521b\u5efa\u7684\u5c31\u662f\u5b50\u8fdb\u7a0b\u3002<\/p>\n

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u5728\u591a\u8fdb\u7a0b\u4e2d，\u5b50\u8fdb\u7a0b\u8c03\u7528join\u65b9\u6cd5\u3002join\u65b9\u6cd5\u4f1a\u4f7f\u4e3b\u8fdb\u7a0b\u8fdb\u5165\u963b\u585e，\u76f4\u5230\u8c03\u7528join\u65b9\u6cd5\u7684\u5b57\u8fdb\u7a0b\u6267\u884c\u5b8c\u6bd5\u3002<\/p>\n

（2）\u65b9\u6cd5\u4e8c：\u7ee7\u627fProcess\u7c7b\u521b\u5efa\u8fdb\u7a0b<\/h3>\n

from multiprocessing import Process # \u591a\u8fdb\u7a0b\u7684\u7c7b
\nimport time
\nimport random<\/p>\n

# \u521b\u5efa\u4e00\u4e2a\u8fdb\u7a0b\u7c7bPros
\nclass Pros(Process):
\n def __init__(self, name):
\n super().__init__()
\n self.name = name<\/p>\n

def run(self):
\n print(f'{self.name} \u5f00\u59cb\u8fd0\u884c！')
\n # \u968f\u673a\u7761\u77201~5\u79d2
\n time.sleep(random.randrange(1, 5))
\n print(f'{self.name} \u7ed3\u675f！')<\/p>\n

if __name__ == "__main__":<\/p>\n

# \u521b\u5efa3\u4e2a\u5b50\u8fdb\u7a0b
\n for i in range(3):
\n num = "p" + str(i+1)
\n num = Pros(f"\u5b50\u8fdb\u7a0b{num}")
\n num.start() # start\u65b9\u6cd5\u4f1a\u81ea\u52a8\u8c03\u7528\u8fdb\u7a0b\u7c7b\u4e2d\u7684run\u65b9\u6cd5<\/p>\n

（3）\u8fdb\u7a0b\u6c60：Pool<\/h3>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u5728\u4e00\u53f0\u8ba1\u7b97\u673a\u4e2d\u8fdb\u7a0b\u662f\u4e0d\u80fd\u65e0\u9650\u521b\u5efa\u7684\u3002\u8fdb\u7a0b\u6c60\u7684\u4f5c\u7528\u5c31\u662f\u5f53\u8fdb\u7a0b\u6570\u8fc7\u591a\u65f6，\u7528\u4e8e\u9650\u5236\u8fdb\u7a0b\u6570，\u9632\u6b62OOM，\u8fd8\u53ef\u4ee5\u907f\u514d\u9891\u7e41\u521b\u5efa\u548c\u9500\u6bc1\u8fdb\u7a0b\u7684\u5f00\u9500\u3002Pool\u53ef\u4ee5\u63d0\u4f9b\u6307\u5b9a\u6570\u91cf\u7684\u8fdb\u7a0b，\u4f9b\u7528\u6237\u8c03\u7528，\u5f53\u6709\u65b0\u7684\u8bf7\u6c42\u63d0\u4ea4\u5230pool\u4e2d\u65f6，\u5982\u679c\u6c60\u6ca1\u6ee1，\u90a3\u4e48\u5c31\u4f1a\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u8fdb\u7a0b\u6765\u6267\u884c\u8be5\u8bf7\u6c42\u3002\u5982\u679c\u6c60\u4e2d\u8fdb\u7a0b\u6570\u5df2\u7ecf\u8fbe\u5230\u89c4\u5b9a\u6700\u5927\u503c，\u90a3\u4e48\u8be5\u8bf7\u6c42\u5c31\u4f1a\u7b49\u5f85，\u76f4\u5230\u6c60\u4e2d\u6709\u8fdb\u7a0b\u7ed3\u675f，\u624d\u4f1a\u521b\u5efa\u65b0\u7684\u8fdb\u7a0b\u6765\u6267\u884c\u8bf7\u6c42\u3002<\/p>\n

Pool(processes=None, initializer=None, initargs=(), maxtasksperchild=None, context=None)<\/p>\n

    \n
  • processes：\u5de5\u4f5c\u8fdb\u7a0b\u6570\u91cf<\/li>\n
  • initializer & initargs：\u5b50\u8fdb\u7a0b\u521d\u59cb\u5316\u94a9\u5b50<\/li>\n
  • maxtasksperchild：\u5355\u8fdb\u7a0b\u6700\u5927\u4efb\u52a1\u6570<\/li>\n
  • context：\u8fdb\u7a0b\u542f\u52a8\u4e0a\u4e0b\u6587<\/li>\n<\/ul>\n

    import os, time
    \nfrom multiprocessing import Process, Pool<\/p>\n

    def run_a_sub_proc(name):
    \n print(f'\u5b50\u8fdb\u7a0b：{name}（{os.getpid()}）\u5f00\u59cb！')
    \n for i in range(2):
    \n print(f'\u5b50\u8fdb\u7a0b：{name}（{os.getpid()}）\u8fd0\u884c\u4e2d…')
    \n time.sleep(1)
    \n print(f'\u5b50\u8fdb\u7a0b：{name}（{os.getpid()}）\u7ed3\u675f！')<\/p>\n

    if __name__ == '__main__':
    \n print(f'\u4e3b\u8fdb\u7a0b（{os.getpid()}）\u5f00\u59cb…')
    \n p = Pool(3)
    \n for i in range(1, 5):
    \n p.apply_async(run_a_sub_proc, args=(f"\u8fdb\u7a0b-{i}",))
    \n p.close()
    \n p.join()<\/p>\n

    pool\u7528\u4e8e\u63d0\u4ea4\u4efb\u52a1\u7684\u56db\u79cd\u65b9\u5f0f：<\/p>\n\n\u65b9\u6cd5\u662f\u5426\u963b\u585e\u8fd4\u56de\u503c\u9002\u7528\u573a\u666f<\/tr>\n\n\n\n\n\n
    map(func, iterable)<\/td>\n\u963b\u585e<\/td>\n\u6709\u5e8f\u7ed3\u679c\u5217\u8868<\/td>\n\u6279\u91cf\u540c\u6784\u4efb\u52a1，\u9700\u8981\u4fdd\u5e8f\u7ed3\u679c<\/td>\n<\/tr>\n
    imap(func, iterable)<\/td>\n\u60f0\u6027\u8fed\u4ee3\u5668<\/td>\n\u6309\u5b8c\u6210\u987a\u5e8fyield<\/td>\n\u5927\u6570\u636e\u6d41\u5f0f\u5904\u7406，\u5185\u5b58\u53cb\u597d<\/td>\n<\/tr>\n
    apply(func, args)<\/td>\n\u963b\u585e<\/td>\n\u5355\u4e2a\u7ed3\u679c<\/td>\n\u4e32\u884c\u6267\u884c\u5355\u4e2a\u4efb\u52a1（\u6781\u5c11\u7528）<\/td>\n<\/tr>\n
    apply_async(func, args, callback)<\/td>\n\u7acb\u5373\u8fd4\u56deAsyncResult<\/td>\n\u5f02\u6b65\u7ed3\u679c\u5bf9\u8c61<\/td>\n\u5f02\u6784\u4efb\u52a1\u3001\u9700\u56de\u8c03\u3001\u4e0d\u5173\u5fc3\u987a\u5e8f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    pool\u7528\u4e8e\u751f\u547d\u5468\u671f\u7ba1\u7406\u7684\u4e09\u4e2a\u65b9\u6cd5：<\/p>\n

      \n
    • close()：\u5173\u95ed\u4efb\u52a1\u63d0\u4ea4\u901a\u9053\u3002\u4e0d\u518d\u63a5\u53d7\u65b0\u4efb\u52a1，\u4f46\u5df2\u63d0\u4ea4\u7684\u4efb\u52a1\u4f1a\u7ee7\u7eed\u6267\u884c\u3002<\/li>\n
    • terminate()：\u7acb\u5373\u7ec8\u6b62\u6240\u6709\u5de5\u4f5c\u8fdb\u7a0b（\u65e0\u8bba\u4efb\u52a1\u662f\u5426\u5b8c\u6210）\u3002\u7528\u4e8e\u5f02\u5e38\u9000\u51fa\u6216\u8d85\u65f6\u5f3a\u5236\u505c\u6b62\u3002<\/li>\n
    • join()：\u963b\u585e\u4e3b\u8fdb\u7a0b，\u7b49\u5f85\u6240\u6709\u5de5\u4f5c\u8fdb\u7a0b\u6b63\u5e38\u7ed3\u675f\u3002\u5fc5\u987b\u5728 close() \u6216 terminate() \u4e4b\u540e\u8c03\u7528\u3002<\/li>\n<\/ul>\n

      \u4e09\u3001\u8fdb\u7a0b\u4e4b\u95f4\u5982\u4f55\u901a\u4fe1<\/h2>\n

      \u00a0 \u00a0 \u00a0 \u00a0 \u8fdb\u7a0b\u4e4b\u524d\u662f\u4e0d\u5171\u4eab\u6570\u636e\u7684，\u4f46\u53ef\u4ee5\u901a\u8fc7\u8fdb\u7a0b\u95f4\u901a\u4fe1\u5b9e\u73b0\u6570\u636e\u4ea4\u4e92\u3002<\/p>\n

      （1）Queue\u961f\u5217<\/h3>\n

      \u00a0 \u00a0 \u00a0 \u00a0 Queue\u662f\u57fa\u4e8e\u7ba1\u9053+\u9501\u5c01\u88c5\u7684\u8fdb\u7a0b\u5b89\u5168FIFO\u961f\u5217\u3002Queue（[maxsize]）\u5efa\u7acb\u4e00\u4e2a\u5171\u4eab\u7684\u961f\u5217（\u5185\u90e8\u7ef4\u62a4\u7740\u6570\u636e\u7684\u5171\u4eab），\u591a\u4e2a\u8fdb\u7a0b\u53ef\u4ee5\u5411\u961f\u5217\u91cc\u5b58\/\u53d6\u6570\u636e\u3002\u5176\u4e2d，\u53c2\u6570\u662f\u961f\u5217\u6700\u5927\u9879\u6570，\u7701\u7565\u5219\u65e0\u9650\u5236\u3002<\/p>\n

      from multiprocessing import Process, Queue
      \nimport time, os<\/p>\n

      def prodcut(q):
      \n print("\u5f00\u59cb\u751f\u4ea7.")
      \n for i in range(5):
      \n time.sleep(1)
      \n q.put('\u4ea7\u54c1'+str(i))
      \n print("\u4ea7\u54c1"+str(i)+"\u751f\u4ea7\u5b8c\u6210")<\/p>\n

      def consume(q):
      \n while True:
      \n prod = q.get()
      \n print("\u6d88\u8d39\u8005：{}，\u6d88\u8d39\u4ea7\u54c1:{}".format(os.getpid(), prod))
      \n time.sleep(1)<\/p>\n

      if __name__ == '__main__':
      \n q = Queue()
      \n p = Process(target=prodcut, args=(q, )) # \u751f\u4ea7\u8005
      \n c1 = Process(target=consume, args=(q, )) # \u6d88\u8d39\u80051
      \n c2 = Process(target=consume, args=(q, )) # \u6d88\u8d39\u80052
      \n p.start()
      \n c1.start()
      \n c2.start()
      \n p.join() # \u5f53\u751f\u4ea7\u8005\u7ed3\u675f\u540e，\u5c06\u4e24\u4e2a\u6d88\u8d39\u5219\u4e5f\u7ed3\u675f
      \n c1.terminate()
      \n c2.terminate()<\/p>\n

      （2）Pipe\u7ba1\u9053<\/h3>\n

      \u00a0 \u00a0 \u00a0 \u00a0 Pipe\u662f\u53cc\u5411\u534a\u53cc\u5de5\u901a\u4fe1\u901a\u9053，\u8fd4\u56de\u4e24\u4e2a\u8fde\u63a5\u5bf9\u8c61(conn1, conn2)\u3002\u5982\u679c\u4f60\u521b\u5efa\u4e86\u5f88\u591a\u4e2a\u5b50\u8fdb\u7a0b，\u90a3\u4e48\u5176\u4e2d\u4efb\u4f55\u4e00\u4e2a\u5b50\u8fdb\u7a0b\u90fd\u53ef\u4ee5\u5bf9Queue\u8fdb\u884c\u5b58（put）\u548c\u53d6（get）\u3002\u4f46Pipe\u4e0d\u4e00\u6837，Pipe\u53ea\u63d0\u4f9b\u4e24\u4e2a\u7aef\u70b9，\u53ea\u5141\u8bb8\u4e24\u4e2a\u5b50\u8fdb\u7a0b\u8fdb\u884c\u5b58（send）\u548c\u53d6（recv）\u3002\u4e5f\u5c31\u662f\u8bf4，Pipe\u5b9e\u73b0\u4e86\u4e24\u4e2a\u5b50\u8fdb\u7a0b\u4e4b\u95f4\u7684\u901a\u4fe1\u3002<\/p>\n

      from multiprocessing import Pipe, Pool
      \nimport os,time<\/p>\n

      def product(send_pipe):
      \n print("\u5f00\u59cb\u751f\u4ea7.")
      \n for i in range(5):
      \n time.sleep(1)
      \n send_pipe.send("\u4ea7\u54c1"+str(i))
      \n print("\u4ea7\u54c1" + str(i) + "\u751f\u4ea7\u5b8c\u6210")<\/p>\n

      def consume(recv_pipe):
      \n while True:
      \n print("\u6d88\u8d39\u8005：{}，\u6d88\u8d39\u4ea7\u54c1:{}".format(os.getpid(), recv_pipe.recv()))
      \n time.sleep(1)<\/p>\n

      if __name__ == '__main__':
      \n # \u4f7f\u7528\u8fdb\u7a0b\u6c60\u6765\u521b\u5efa\u8fdb\u7a0b
      \n send_pipe, recv_pipe = Pipe()
      \n pool = Pool(2)
      \n pool.apply_async(product, args=(send_pipe,))
      \n pool.apply_async(consume, args=(recv_pipe,))
      \n pool.close()
      \n pool.join()<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u4e00\u3001\u591a\u4efb\u52a1\u7684\u6982\u5ff5（1）\u591a\u4efb\u52a1\u662f\u4ec0\u4e48\u591a\u4efb\u52a1\u6307\u64cd\u4f5c\u7cfb\u7edf\u5728\u540c\u4e00\u65f6\u95f4\u6bb5\u5185\u6267\u884c\u591a\u4e2a\u4efb\u52a1\u7684\u80fd\u529b\u3002\u6ce8\u610f\u8fd9\u91cc\u662f\u65f6\u95f4\u95f4\u9694\u6216\u65f6\u95f4\u6bb5，\u800c\u975e\u65f6\u523b\u3002\u591a\u4efb\u52a1\u7684\u5b9e\u73b0\u4f9d\u8d56\u4e8e\u64cd\u4f5c\u7cfb\u7edf\u7684\u8c03\u5ea6\u7b97\u6cd5（\u5982\u65f6\u95f4\u7247\u8f6e\u8f6c\u3001\u4f18\u5148\u7ea7\u8c03\u5ea6）\u3002（2）\u5e76\u53d1\u4e0e\u5e76\u884c\u5e76\u53d1：\u6307\u4e24\u4e2a\u6216\u591a\u4e2a\u65f6\u95f4\u5728\u540c\u4e00\u65f6\u95f4\u95f4\u9694\u5185\u53d1\u751f\u3002\u8fd9\u4e9b\u4e8b\u4ef6\u5b8f\u89c2\u4e0a\u662f\u540c\u65f6\u53d1\u751f\u7684，\u4f46\u5fae\u89c2\u4e0a\u662f\u4ea4\u66ff\u53d1\u751f\u7684\u3002\u5e76\u884c：\u6307\u4e24\u4e2a\u6216\u591a\u4e2a\u4e8b\u4ef6\u5728\u540c\u4e00\u65f6\u523b\u540c\u65f6\u53d1\u751f\u3002<\/p>\n","protected":false},"author":2,"featured_media":117189,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,16],"topic":[],"class_list":["post-117190","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-16"],"yoast_head":"\n\u3010\u5b66\u4e60\u5fc3\u5f97\u3011Python\u591a\u8fdb\u7a0b - 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