{"id":7240,"date":"2024-03-15T11:40:36","date_gmt":"2024-03-15T03:40:36","guid":{"rendered":"https:\/\/i007.vip:15443\/wordpress\/?p=7240"},"modified":"2024-03-15T11:40:36","modified_gmt":"2024-03-15T03:40:36","slug":"%e8%af%91%ef%bd%9cpython%e5%b9%95%e5%90%8e%ef%bc%8813%ef%bc%89%ef%bc%9agil-%e5%8f%8a%e5%85%b6%e5%bd%b1%e5%93%8d","status":"publish","type":"post","link":"https:\/\/i007.cc\/wordpress\/archives\/7240","title":{"rendered":"\u8bd1\uff5cPython\u5e55\u540e\uff0813\uff09\uff1aGIL \u53ca\u5176\u5f71\u54cd"},"content":{"rendered":"
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cc from<\/a><\/p><\/blockquote>\n

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\u4f60\u53ef\u80fd\u77e5\u9053\uff0cGIL\u5373\u5168\u5c40\u89e3\u91ca\u5668\u9501\uff0c\u7528\u4e8e\u4fdd\u8bc1 CPython \u89e3\u91ca\u5668\u7684\u7ebf\u7a0b\u5b89\u5168\u3002\u5728 GIL \u7684\u63a7\u5236\u4e0b\uff0c\u540c\u4e00\u65f6\u95f4\uff0c\u53ea\u80fd\u6709\u4e00\u4e2a\u7cfb\u7edf\u7ebf\u7a0b\u6267\u884c Python \u5b57\u8282\u7801\uff0c\u56e0\u6b64\uff0c\u7528\u6237\u65e0\u6cd5\u901a\u8fc7\u591a\u7ebf\u7a0b\u6765\u63d0\u5347 CPU \u5bc6\u96c6\u578b\u4efb\u52a1\u7684\u8fd0\u884c\u901f\u5ea6\u3002\u4f46\u8fd9\u5e76\u975e GIL \u7684\u552f\u4e00\u95ee\u9898\u3002\u5b83\u8fd8\u5bfc\u81f4\u591a\u7ebf\u7a0b\u6548\u7387\u964d\u4f4e\uff0c\u751a\u81f3\u5305\u62ec I\/O \u5bc6\u96c6\u578b\u7ebf\u7a0b\u3002<\/p>\n

\u672c\u6587\u4f1a\u805a\u7126\u4e8e GIL \u7684\u4e00\u4e9b\u6bd4\u8f83\u9690\u853d\u7684\u5f71\u54cd\u3002\u8ba8\u8bba\u8fc7\u7a0b\u4e2d\uff0c\u4f1a\u6d89\u53ca GIL \u662f\u4ec0\u4e48\uff0c\u4e3a\u4ec0\u4e48\u8981\u6709 GIL\uff0c\u5b83\u7684\u5de5\u4f5c\u539f\u7406\u662f\u4ec0\u4e48\uff0c\u4ee5\u53ca\u672a\u6765\u5bf9 Python \u5e76\u53d1\u7684\u5f71\u54cd\u7b49\u7b49\u3002<\/p>\n

\u6ce8\u610f\uff1a\u6587\u7ae0\u4e2d\u9ed8\u8ba4\u4f7f\u7528 CPython 3.9\uff0c\u968f\u7740 CPython \u7684\u6f14\u5316\uff0c\u4e00\u4e9b\u5b9e\u73b0\u7ec6\u8282\u53ef\u80fd\u4f1a\u6709\u6240\u8c03\u6574\uff0c\u6211\u4f1a\u5c3d\u529b\u7559\u610f\u4e00\u4e9b\u91cd\u8981\u53d8\u5316\u5e76\u66f4\u65b0\u6587\u7ae0\u5185\u5bb9\u3002<\/p><\/blockquote>\n

1. \u7cfb\u7edf\u7ebf\u7a0b\u3001Python \u7ebf\u7a0b\u4e0e GIL<\/h3>\n

\u9996\u5148\u4e00\u8d77\u6765\u56de\u987e\u4e0b Python \u4e2d\u7684\u7ebf\u7a0b\u4e0e\u591a\u7ebf\u7a0b\u3002\u8fd0\u884c\u00a0python<\/code>\u00a0\u53ef\u6267\u884c\u6587\u4ef6\u65f6\uff0c\u64cd\u4f5c\u7cfb\u7edf\u4f1a\u542f\u52a8\u4e00\u4e2a\u65b0\u8fdb\u7a0b\uff0c\u5176\u4e2d\u8fd0\u884c\u7740\u4e00\u4e2a\u7ebf\u7a0b\uff0c\u79f0\u4e3b\u7ebf\u7a0b\u3002\u548c\u5176\u5b83 C \u7a0b\u5e8f\u4e00\u6837\uff0c\u8fd9\u4e2a\u4e3b\u7ebf\u7a0b\u4e5f\u662f\u4ece\u00a0main()<\/code>\u00a0\u51fd\u6570\u5f00\u59cb\u6267\u884c\u7684\uff0c\u5176\u5de5\u4f5c\u903b\u8f91\u53ef\u4ee5\u603b\u7ed3\u4e3a\u4e09\u4e2a\u6b65\u9aa4\uff1a<\/p>\n

    \n
  1. \u521d\u59cb\u5316\u89e3\u91ca\u5668\uff1b<\/li>\n
  2. \u5c06 Python \u4ee3\u7801\u7f16\u8bd1\u4e3a\u5b57\u8282\u7801\uff1b<\/li>\n
  3. \u8fdb\u5165\u6c42\u503c\u5faa\u73af\uff0c\u6267\u884c\u5b57\u8282\u7801\uff1b<\/li>\n<\/ol>\n

    \u4e3b\u7ebf\u7a0b\u662f\u4e00\u4e2a\u666e\u901a\u7684\u7cfb\u7edf\u7ebf\u7a0b\uff0c\u6267\u884c\u7684\u662f\u7f16\u8bd1\u597d\u7684 C \u4ee3\u7801\uff0c\u5176\u7ebf\u7a0b\u72b6\u6001\u5305\u62ec CPU \u5bc4\u5b58\u5668\u7684\u503c\u4ee5\u53ca C \u51fd\u6570\u7684\u8c03\u7528\u6808\u3002\u800c Python \u7ebf\u7a0b\u5fc5\u987b\u540c\u65f6\u4fdd\u5b58 Python \u51fd\u6570\u7684\u8c03\u7528\u6808\u3001\u6267\u884c\u72b6\u6001\u4ee5\u53ca\u5176\u5b83\u4e0e Python \u76f8\u5173\u7684\u6570\u636e\u3002CPython \u4f1a\u5c06\u8fd9\u4e9b\u6570\u636e\u4fdd\u5b58\u5728\u4e00\u4e2a\u6570\u636e\u7ed3\u6784\u4e2d\uff0c\u5373\u7ebf\u7a0b\u72b6\u6001<\/a>\uff0c\u5e76\u628a\u5b83\u548c\u5bf9\u5e94\u7684\u7cfb\u7edf\u7ebf\u7a0b\u72b6\u6001\u5173\u8054\u8d77\u6765\u3002\u7b80\u5355\u5730\u8bf4\uff0cPython \u7ebf\u7a0b = \u7cfb\u7edf\u7ebf\u7a0b + Python \u7ebf\u7a0b\u72b6\u6001\u3002<\/p>\n

    \u6c42\u503c\u5faa\u73af\u662f\u4e00\u4e2a\u65e0\u9650\u5faa\u73af\uff0c\u5176\u4ee3\u7801\u5305\u542b\u4e00\u4e2a\u5de8\u5927\u7684\u6761\u4ef6\u5206\u652f\uff0c\u5904\u7406\u5404\u79cd\u5b57\u8282\u7801\u6307\u4ee4\u3002\u8fdb\u5165\u5faa\u73af\u7684\u7ebf\u7a0b\u5fc5\u987b\u6301\u6709 GIL\u3002\u4e3b\u7ebf\u7a0b\u5728\u521d\u59cb\u5316\u65f6\u4e00\u76f4\u63a7\u5236\u7740 GIL\uff0c\u56e0\u6b64\u53ef\u4ee5\u8fdb\u5165\u6c42\u503c\u5faa\u73af\u3002\u8fdb\u5165\u5faa\u73af\u540e\uff0c\u7ebf\u7a0b\u5f00\u59cb\u57fa\u4e8e\u6761\u4ef6\u5206\u652f\uff0c\u9010\u4e2a\u6267\u884c\u5b57\u8282\u7801\u6307\u4ee4\u3002<\/p>\n

    \u6bcf\u6b21\u5faa\u73af\u5f00\u59cb\u524d\uff0c\u7ebf\u7a0b\u90fd\u4f1a\u68c0\u67e5\u662f\u5426\u9700\u8981\u505c\u6b62\u6267\u884c\u3002\u6211\u4eec\u7279\u522b\u611f\u5174\u8da3\u7684\u662f\u522b\u7684\u7ebf\u7a0b\u8bf7\u6c42 GIL \u5bfc\u81f4\u672c\u7ebf\u7a0b\u505c\u6b62\u7684\u60c5\u51b5\u3002\u5176\u4ee3\u7801\u903b\u8f91\u5982\u4e0b\uff1a<\/p>\n

    \n
    PyObject<\/span>*<\/span>\r\n_PyEval_EvalFrameDefault<\/span>(<\/span>PyThreadState<\/span>*<\/span>tstate<\/span>,<\/span>PyFrameObject<\/span>*<\/span>f<\/span>,<\/span>intthrowflag<\/span>)<\/span>\r\n{<\/span>\r\n\/\/ ... \u5c40\u90e8\u53d8\u91cf\u58f0\u660e\u53ca\u5176\u5b83\u65e0\u804a\u7684\u5de5\u4f5c\r\n<\/span>\r\n\/\/ \u6c42\u503c\u5faa\u73af\r\n<\/span>for<\/span>(;;){<\/span>\r\n\r\n\/\/ `eval_breaker` \u6807\u8bc6\u662f\u5426\u9700\u8981\u505c\u6b62\u6267\u884c\r\n<\/span>\/\/ \u6bd4\u5982\u5176\u5b83\u7ebf\u7a0b\u8bf7\u6c42 GIL\r\n<\/span>if<\/span>(<\/span>_Py_atomic_load_relaxed<\/span>(<\/span>eval_breaker<\/span>)){<\/span>\r\n\r\n    \/\/ `eval_frame_handle_pending()` \u505c\u6b62\u5b57\u8282\u7801\u6267\u884c\r\n<\/span>    \/\/ \u6bd4\u5982\u5176\u5b83\u7ebf\u7a0b\u8bf7\u6c42 GIL\r\n<\/span>    \/\/ \u672c\u51fd\u6570\u91ca\u653e\u5e76\u91cd\u65b0\u7b49\u5f85 GIL\r\n<\/span>    if<\/span>(<\/span>eval_frame_handle_pending<\/span>(<\/span>tstate<\/span>)<\/span>!=<\/span>0<\/span>){<\/span>\r\n        goto<\/span> error<\/span>;<\/span>\r\n    }<\/span>\r\n}<\/span>\r\n\r\n\/\/ \u83b7\u53d6\u4e0b\u4e00\u4e2a\u5b57\u8282\u7801\u6307\u4ee4\r\n<\/span>NEXTOPARG<\/span>();<\/span>\r\n\r\nswitch<\/span>(<\/span>opcode<\/span>){<\/span>\r\n    case<\/span> TARGET<\/span>(<\/span>NOP<\/span>){<\/span>\r\n        FAST_DISPATCH<\/span>();<\/span>\/\/ \u4e0b\u4e00\u6b21\u5faa\u73af\r\n<\/span>    }<\/span>\r\n\r\n    case<\/span> TARGET<\/span>(<\/span>LOAD_FAST<\/span>){<\/span>\r\n        \/\/ ... \u52a0\u8f7d\u5c40\u90e8\u53d8\u91cf\u7684\u5b57\u8282\u7801\r\n<\/span>        FAST_DISPATCH<\/span>();<\/span>\/\/ \u4e0b\u4e00\u6b21\u5faa\u73af\r\n<\/span>    }<\/span>\r\n\r\n    \/\/ ... 117 \u4e2a\u5176\u5b83\u5b57\u8282\u7801\u7684\u5904\u7406\r\n<\/span>}<\/span>\r\n\r\n\/\/ ... \u9519\u8bef\u5904\u7406\r\n<\/span>}<\/span>\r\n\r\n\/\/ ... \u7ed3\u675f\u7a0b\u5e8f\r\n<\/span>}<\/span><\/code><\/pre>\n<\/div>\n
    \n
    import<\/span> threading<\/span>\r\n\r\ndef<\/span> f<\/span>(<\/span>a<\/span>,<\/span> b<\/span>,<\/span> c<\/span>):<\/span>\r\n    # do something<\/span>\r\n    pass<\/span>\r\n\r\nt<\/span> =<\/span> threading<\/span>.<\/span>Thread<\/span>(<\/span>target<\/span>=<\/span>f<\/span>,<\/span> args<\/span>=<\/span>(<\/span>1<\/span>,<\/span> 2<\/span>),<\/span> kwargs<\/span>=<\/span>{<\/span>'c'<\/span>:<\/span> 3<\/span>})<\/span>\r\nt<\/span>.<\/span>start<\/span>()<\/span><\/code><\/pre>\n<\/div>\n
    \u4e3a\u83b7\u53d6 GIL\uff0c\u7ebf\u7a0b\u9996\u5148\u68c0\u67e5\u662f\u5426\u6709\u5176\u5b83\u7ebf\u7a0b\u63a7\u5236\u7740 GIL\uff0c\u5982\u679c\u6ca1\u6709\uff0c\u5219\u7acb\u5373\u6301\u6709\uff0c\u5426\u5219\u7b49\u5f85 GIL \u88ab\u91ca\u653e\u3002\u7b49\u5f85\u6709\u4e00\u4e2a\u56fa\u5b9a\u65f6\u95f4\uff0c\u5373\u5207\u6362\u95f4\u9694\uff08switch interval\uff0c\u9ed8\u8ba4\u4e3a 5ms\uff09\u3002\u5982\u679c GIL \u6ca1\u6709\u5728\u56fa\u5b9a\u65f6\u95f4\u5185\u88ab\u91ca\u653e\uff0c\u7ebf\u7a0b\u4f1a\u8bbe\u7f6e\u00a0eval_breaker<\/code>\u00a0\u4e0e\u00a0gil_drop_request<\/code>\u00a0\u6807\u8bb0\uff0ceval_breaker<\/code>\u00a0\u8868\u793a\u6301\u6709 GIL \u7684\u7ebf\u7a0b\u5e94\u8be5\u505c\u6b62\u6267\u884c\uff0c\u800c\u00a0gil_drop_request<\/code>\u00a0\u8868\u793a\u5177\u4f53\u539f\u56e0\u3002\u5f53\u524d\u6301\u6709 GIL \u7684\u7ebf\u7a0b\u5728\u4e0b\u4e00\u6b21\u5faa\u73af\u4e2d\u770b\u5230\u8fd9\u4e24\u4e2a\u6807\u8bb0\uff0c\u4e8e\u662f\u91ca\u653e GIL\uff0c\u901a\u77e5\u6b63\u5728\u7b49\u5f85\u7684\u7ebf\u7a0b\u3002\u5982\u679c\u6709\u591a\u4e2a\u7b49\u5f85\u7ebf\u7a0b\uff0c\u5219\u64cd\u4f5c\u7cfb\u7edf\u4f1a\u5224\u65ad\u5177\u4f53\u8981\u5524\u9192\u54ea\u4e2a\u7ebf\u7a0b\uff0c\u53ef\u80fd\u662f\u4e5f\u53ef\u80fd\u4e0d\u662f\u4e4b\u524d\u8bbe\u7f6e\u6807\u8bb0\u7684\u7ebf\u7a0b\u3002<\/p>\n
    \u4ee5\u4e0a\u5c31\u662f GIL \u7684\u57fa\u672c\u903b\u8f91\u3002\u4e0b\u9762\u6765\u770b\u770b\u5b83\u7684\u5f71\u54cd\u3002<\/p>\n
    2. GIL \u7684\u5f71\u54cd<\/h3>\n
    GIL \u7684\u7b2c\u4e00\u4e2a\u5f71\u54cd\u662f\u4f17\u6240\u5468\u77e5\u7684\uff1a\u591a\u4e2a Python \u7ebf\u7a0b\u65e0\u6cd5\u5e76\u884c\u6267\u884c\u3002\u56e0\u6b64\uff0c\u5373\u4f7f\u5728\u591a\u6838\u8bbe\u5907\u4e0a\uff0c\u591a\u7ebf\u7a0b\u7a0b\u5e8f\u4e5f\u4e0d\u6bd4\u5355\u7ebf\u7a0b\u5feb\u3002\u8fd9\u91cc\u4ee5\u4e00\u4e2a\u7b80\u5355\u7684 CPU \u5bc6\u96c6\u578b\u51fd\u6570\u4e3e\u4f8b\uff0c\u770b\u770b\u9012\u51cf\u4e00\u4e2a\u6570\u503c\u6240\u9700\u7684\u65f6\u95f4\uff1a<\/p>\n
    \n
    def countdown(n):\r\n    while n > 0:\r\n        n -= 1<\/code><\/pre>\n<\/div>\n
    \u5047\u8bbe\u6570\u503c\u4e3a 100,000,000\uff0c\u6211\u4eec\u53ef\u4ee5\u5355\u7ebf\u7a0b\u8fd0\u884c\u00a0countdown(100_000_000)<\/code>\u00a0\uff0c\u4e5f\u53ef\u4ee5\u4e24\u4e2a\u7ebf\u7a0b\u8fd0\u884c\u00a0countdown(50_000_000)<\/code>\u00a0\u6216\u56db\u4e2a\u7ebf\u7a0b\u8fd0\u884c\u00a0countdown(25_000_000)<\/code>\u00a0\u7b49\u7b49\u3002\u5728 C \u8bed\u8a00\u4e4b\u7c7b\u6ca1\u6709 GIL \u7684\u7f16\u7a0b\u8bed\u8a00\u4e2d\uff0c\u6211\u4eec\u4f1a\u770b\u5230\u968f\u7740\u7ebf\u7a0b\u589e\u52a0\uff0c\u6240\u82b1\u65f6\u95f4\u51cf\u5c11\u3002\u800c\u5728\u6211\u7684 MacBook Pro \u4e0a\uff0c\u53cc\u6838\u5e26\u8d85\u7ebf\u7a0b<\/a>\uff0c\u8fd0\u884c\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n\n\n\n\n\n\n\n
    \u7ebf\u7a0b\u6570<\/th>\n\u6bcf\u4e2a\u7ebf\u7a0b\u7684\u9012\u51cf\u503c (n)<\/th>\n\u6240\u82b1\u79d2\u6570 (3\u6b21\u53d6\u6700\u4f73)<\/th>\n<\/tr>\n
    1<\/td>\n100,000,000<\/td>\n6.52<\/td>\n<\/tr>\n
    2<\/td>\n50,000,000<\/td>\n6.57<\/td>\n<\/tr>\n
    4<\/td>\n25,000,000<\/td>\n6.59<\/td>\n<\/tr>\n
    8<\/td>\n12,500,000<\/td>\n6.58<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
    \u53ef\u4ee5\u770b\u5230\uff0c\u4e0d\u540c\u7ebf\u7a0b\u6570\u6240\u82b1\u7684\u65f6\u95f4\u5e76\u6ca1\u6709\u591a\u5c11\u533a\u522b\u3002\u591a\u7ebf\u7a0b\u56e0\u4e3a\u4e0a\u4e0b\u6587\u5207\u6362<\/a>\u7684\u6210\u672c\uff0c\u6240\u82b1\u65f6\u95f4\u8fd8\u589e\u52a0\u4e86\u3002Python \u7ebf\u7a0b\u7684\u5207\u6362\u95f4\u9694\u9ed8\u8ba4\u4e3a 5ms\uff0c\u56e0\u6b64\u4e0a\u4e0b\u6587\u5207\u6362\u4e0d\u7b97\u7279\u522b\u9891\u7e41\uff0c\u5982\u679c\u51cf\u5c0f\u5207\u6362\u95f4\u9694\uff0c\u901f\u5ea6\u4f1a\u66f4\u6162\uff0c\u5177\u4f53\u539f\u56e0\u6211\u4eec\u540e\u9762\u4f1a\u63d0\u5230\u3002<\/p>\n
    \u867d\u7136 Python \u7ebf\u7a0b\u65e0\u6cd5\u52a0\u901f CPU \u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u4f46\u5bf9 I\/O \u5bc6\u96c6\u578b\u4efb\u52a1\u8fd8\u662f\u6709\u7528\u7684\u3002\u5047\u8bbe\u6709\u4e00\u4e2a\u670d\u52a1\u5668\uff0c\u76d1\u542c\u5e76\u5904\u7406\u7f51\u7edc\u8fde\u63a5\uff0c\u901a\u8fc7\u8bfb\u5199 socket \u4e0e\u5ba2\u6237\u7aef\u901a\u4fe1\uff0c\u7ebf\u7a0b\u7ecf\u5e38\u9700\u8981\u7b49\u5f85\u7f51\u7edc\u6570\u636e\u624d\u80fd\u7ee7\u7eed\u8bfb\u5199\u3002\u6b64\u65f6\uff0c\u591a\u7ebf\u7a0b\u7684\u76ca\u5904\u8fd8\u662f\u5f88\u660e\u663e\u7684\uff1a\u5176\u5b83\u7ebf\u7a0b\u53ef\u4ee5\u540c\u65f6\u5904\u7406\u5176\u5b83\u8fde\u63a5\u3002<\/p>\n
    \u4e3a\u4f7f\u67d0\u4e2a\u7ebf\u7a0b\u7b49\u5f85 I\/O \u65f6\u5176\u5b83\u7ebf\u7a0b\u53ef\u4ee5\u8fd0\u884c\uff0cCPython \u4e2d\u7684\u6240\u6709 I\/O \u64cd\u4f5c\u90fd\u6d89\u53ca\u4ee5\u4e0b\u51e0\u6b65\uff1a<\/p>\n
      \n
    1. \u91ca\u653e GIL\uff1b<\/li>\n
    2. \u6267\u884c\u64cd\u4f5c\uff0c\u5982\u00a0<\/code>write()<\/a>\u3001\u00a0<\/code>recv()<\/a>\u3001\u00a0<\/code>accept()<\/a>\uff1b<\/li>\n
    3. \u8bf7\u6c42 GIL\uff1b<\/li>\n<\/ol>\n
      \u4e5f\u5c31\u662f\u8bf4\uff0c\u5728\u5176\u5b83\u7ebf\u7a0b\u8bbe\u7f6e\u00a0eval_breaker<\/code>\u00a0\u4e0e\u00a0gil_drop_request<\/code>\u00a0\u6807\u8bb0\u524d\uff0c\u7ebf\u7a0b\u53ef\u4ee5\u4e3b\u52a8\u91ca\u653e GIL\u3002\u901a\u5e38\u6765\u8bf4\uff0c\u7ebf\u7a0b\u53ea\u6709\u5728\u5904\u7406 Python \u5bf9\u8c61\u65f6\u9700\u8981\u6301\u6709 GIL\uff0c\u56e0\u6b64\uff0cCPython \u4e0d\u4ec5\u5728 I\/O \u64cd\u4f5c\u4e2d\uff0c\u4e5f\u5728\u5904\u7406\u5176\u5b83\u963b\u585e\u6027\u7cfb\u7edf\u8c03\u7528\uff0c\u5982\u00a0select()<\/a>\u00a0\u6216\u00a0pthread_mutex_lock()<\/a>\uff0c\u6216\u6267\u884c\u5927\u8ba1\u7b97\u91cf\u7684\u7eaf C \u8bed\u8a00\u4ee3\u7801\uff0c\u5982\u6267\u884c\u00a0<\/code>hashlib<\/a>\u00a0\u6807\u51c6\u5e93\u4e2d\u7684\u54c8\u5e0c\u51fd\u6570\u65f6\uff0c\u4f1a\u5148\u91ca\u653e GIL\uff0c\u518d\u6267\u884c\u64cd\u4f5c\uff0c\u6700\u540e\u91cd\u65b0\u8bf7\u6c42 GIL\u3002\u5728\u7c7b\u4f3c\u4efb\u52a1\u4e2d\uff0c\u591a\u7ebf\u7a0b\u90fd\u53ef\u4ee5\u63d0\u9ad8\u6267\u884c\u901f\u5ea6\u3002<\/p>\n
      \u5047\u8bbe\u6211\u4eec\u8981\u4e3a 8 \u4e2a 128M \u5927\u5c0f\u7684\u6d88\u606f\u8ba1\u7b97 SHA-256 \u54c8\u5e0c\u503c\u3002\u53ef\u4ee5\u5355\u7ebf\u7a0b\u9010\u4e2a\u8c03\u7528\u00a0hashlib.sha256(message)<\/code>\uff0c\u4e5f\u53ef\u4ee5\u591a\u7ebf\u7a0b\u6267\u884c\uff0c\u5728\u6211\u7684\u8ba1\u7b97\u673a\u4e0a\uff0c\u6240\u82b1\u65f6\u95f4\u5982\u4e0b\uff1a<\/p>\n\n\n\n\n\n\n\n
      \u7ebf\u7a0b\u6570<\/th>\n\u6bcf\u4e2a\u7ebf\u7a0b\u8ba1\u7b97\u7684\u6570\u91cf<\/th>\n\u6240\u82b1\u79d2\u6570 (3\u6b21\u53d6\u6700\u4f73)<\/th>\n<\/tr>\n
      1<\/td>\n1 GB<\/td>\n3.30<\/td>\n<\/tr>\n
      2<\/td>\n512 MB<\/td>\n1.68<\/td>\n<\/tr>\n
      4<\/td>\n256 MB<\/td>\n1.50<\/td>\n<\/tr>\n
      8<\/td>\n128 MB<\/td>\n1.60<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \u53cc\u7ebf\u7a0b\u6bd4\u5355\u7ebf\u7a0b\u5feb\u4e86\u8fd11\u500d\uff0c\u56e0\u4e3a\u53ef\u4ee5\u5e76\u884c\u6267\u884c\uff0c\u800c\u66f4\u591a\u7ebf\u7a0b\u5e26\u6765\u7684\u63d0\u5347\u6709\u9650\uff0c\u56e0\u4e3a\u6211\u7684\u7535\u8111\u53ea\u6709\u4e24\u4e2a\u7269\u7406\u5185\u6838\u3002\u4ece\u8fd9\u4e2a\u4f8b\u5b50\u53ef\u4ee5\u770b\u51fa\uff0c\u5982\u679c\u6d89\u53ca\u7684\u7eaf C \u8bed\u8a00\u8c03\u7528\u4f1a\u91ca\u653e GIL\uff0c\u591a\u7ebf\u7a0b\u662f\u53ef\u4ee5\u63d0\u9ad8 CPU \u5bc6\u96c6\u578b\u4efb\u52a1\u7684\u6267\u884c\u901f\u5ea6\u7684\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u4e0d\u4ec5\u6807\u51c6\u5e93\u4e2d\u6709\u8fd9\u6837\u7684\u8c03\u7528\uff0c\u4e00\u4e9b\u8ba1\u7b97\u5bc6\u96c6\u578b\u7684\u7b2c\u4e09\u65b9\u5e93\uff0c\u5982\u00a0NumPy<\/a>\u00a0\u7b49\uff0c\u4e5f\u6709\u7c7b\u4f3c\u7684\u8c03\u7528\u3002\u5f53\u7136\uff0c\u4f60\u4e5f\u53ef\u4ee5\u81ea\u5df1\u5199\u4e00\u4e2a\u80fd\u91ca\u653e GIL \u7684 C \u6269\u5c55<\/a>\u3002<\/p>\n
      \u81f3\u6b64\uff0c\u6211\u4eec\u63d0\u5230\u4e86 CPU \u5bc6\u96c6\u578b\u7ebf\u7a0b\u2014\u2014\u5927\u591a\u6570\u65f6\u95f4\u90fd\u5728\u6267\u884c\u8ba1\u7b97\u4efb\u52a1\uff0c\u548c I\/O \u5bc6\u96c6\u578b\u7ebf\u7a0b\u2014\u2014\u5927\u591a\u6570\u65f6\u95f4\u90fd\u5728\u7b49\u5f85 I\/O\u3002\u800c\u5bf9\u4e24\u7c7b\u7ebf\u7a0b\u540c\u65f6\u5b58\u5728\u7684\u573a\u666f\uff0cGIL \u7684\u5f71\u54cd\u5c31\u66f4\u5fae\u5999\u4e86\u3002\u5047\u8bbe\u6709\u4e00\u4e2a TCP \u670d\u52a1\u5668\uff0c\u7528\u65b0\u7ebf\u7a0b\u5904\u7406\u6bcf\u4e2a\u8fde\u63a5\u8bf7\u6c42\uff1a<\/p>\n
      \n
      from threading import Thread\r\nimport socket\r\n\r\n\r\ndef run_server(host='127.0.0.1', port=33333):\r\n    sock = socket.socket()\r\n    sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\r\n    sock.bind((host, port))\r\n    sock.listen()\r\n    while True:\r\n        client_sock, addr = sock.accept()\r\n        print('Connection from', addr)\r\n        Thread(target=handle_client, args=(client_sock,)).start()\r\n\r\n\r\ndef handle_client(sock):\r\n    while True:\r\n        received_data = sock.recv(4096)\r\n        if not received_data:\r\n            break\r\n        sock.sendall(received_data)\r\n\r\n    print('Client disconnected:', sock.getpeername())\r\n    sock.close()\r\n\r\n\r\nif __name__ == '__main__':\r\n    run_server()<\/code><\/pre>\n<\/div>\n
      \u8fd9\u4e2a\u670d\u52a1\u5668\u6bcf\u79d2\u80fd\u5904\u7406\u591a\u5c11\u4e2a\u8bf7\u6c42\u5462\uff1f\u6211\u5199\u4e86\u4e2a\u7b80\u5355\u7684\u5ba2\u6237\u7aef\u7a0b\u5e8f<\/a>\uff0c\u5c3d\u53ef\u80fd\u5feb\u5730\u53d1\u9001\u3001\u63a5\u6536 1 \u5b57\u8282\u7684\u6570\u636e\uff0c\u6d4b\u8bd5\u7ed3\u679c\u5927\u7ea6\u4e3a 30k RPS\u3002\u8fd9\u4e2a\u6570\u636e\u5e76\u4e0d\u51c6\u786e\uff0c\u56e0\u4e3a\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u8fd0\u884c\u5728\u540c\u4e00\u53f0\u8bbe\u5907\u4e0a\uff0c\u4e0d\u8fc7\u8fd9\u4e0d\u91cd\u8981\u3002\u6211\u4eec\u771f\u6b63\u5173\u5fc3\u7684\u662f\uff0c\u5982\u679c\u670d\u52a1\u5668\u540c\u65f6\u6709\u5176\u5b83\u7ebf\u7a0b\u5728\u6267\u884c CPU \u5bc6\u96c6\u578b\u4efb\u52a1\uff0cRPS \u6570\u4f1a\u51cf\u5c11\u591a\u5c11\uff1f<\/p>\n
      \u5728\u540c\u4e00\u53f0\u670d\u52a1\u5668\u4e0a\u589e\u52a0\u4e00\u4e2a\u65b0\u7ebf\u7a0b\uff0c\u5728\u65e0\u9650\u5faa\u73af\u4e2d\u6267\u884c\u53d8\u91cf\u589e\u51cf\uff08\u6216\u5176\u5b83\u4efb\u610f\u8ba1\u7b97\u5bc6\u96c6\u578b\u4efb\u52a1\uff09\uff1a<\/p>\n
      \n
      # ... the same server code\r\n\r\ndef compute():\r\n    n = 0\r\n    while True:\r\n        n += 1\r\n        n -= 1\r\n\r\nif __name__ == '__main__':\r\n    Thread(target=compute).start()\r\n    run_server()<\/code><\/pre>\n<\/div>\n
      \u4f60\u9884\u8ba1 RPS \u4f1a\u51cf\u5c11\u591a\u5c11\u5462\uff1f\u7a0d\u5fae\u51cf\u5c11\uff1f\u51cf\u5c111\u500d\uff1f10\u500d\uff1f\u4e8b\u5b9e\u4e0a\uff0cRPS \u964d\u5230\u4e86 100\uff0c\u51cf\u5c11\u4e86 300 \u500d\uff01\u8fd9\u4e2a\u7ed3\u679c\u4ee4\u4eba\u60ca\u8bb6\u3002\u4f5c\u4e3a\u5bf9\u6bd4\uff0c\u6211\u4eec\u53ef\u4ee5\u7528\u591a\u8fdb\u7a0b\u5f62\u5f0f\u5206\u522b\u6267\u884c\u8fd9\u4e24\u4e2a\u4efb\u52a1\uff0c\u907f\u5f00 GIL \u7684\u5f71\u54cd\u3002\u53ef\u4ee5\u628a\u4ee3\u7801\u62c6\u5206\u5230\u4e0d\u540c\u6587\u4ef6\u4e2d\uff0c\u6216\u8005\u76f4\u63a5\u7528\u00a0<\/code>multiprocessing<\/a>\u00a0\u6807\u51c6\u5e93\u542f\u52a8\u65b0\u8fdb\u7a0b\uff1a<\/p>\n
      \n
      from multiprocessing import Process\r\n\r\n# ... the same server code\r\n\r\nif __name__ == '__main__':\r\n    Process(target=compute).start()\r\n    run_server()<\/code><\/pre>\n<\/div>\n
      \u6b64\u65f6\uff0c\u670d\u52a1\u5668\u5904\u7406\u901f\u5ea6\u7ea6\u4e3a 20K RPS\u3002\u5373\u4fbf\u6211\u4eec\u5f00\u542f\u66f4\u591a\u8fdb\u7a0b\u5904\u7406 CPU \u5bc6\u96c6\u578b\u4efb\u52a1\uff0cRPS \u4f9d\u7136\u5dee\u4e0d\u591a\u3002\u64cd\u4f5c\u7cfb\u7edf\u4f1a\u4f18\u5148\u8c03\u5ea6 I\/O \u5bc6\u96c6\u578b\u7ebf\u7a0b\uff0c\u8fd9\u662f\u7edd\u5bf9\u6b63\u786e\u7684\u3002<\/p>\n
      \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5904\u7406\u7684\u662f socket \u8bfb\u5199\uff0c\u800c\u5728\u5176\u5b83 I\/O \u4efb\u52a1\u4e2d\uff0c\u53d7\u5f71\u54cd\u7684\u60c5\u51b5\u4e5f\u7c7b\u4f3c\u3002\u5982\u679c\u662f UI \u7ebf\u7a0b\uff0c\u540c\u65f6\u6709\u4e2a CPU \u5bc6\u96c6\u578b\u7ebf\u7a0b\u5728\u8dd1\uff0c\u4e5f\u4f1a\u65f6\u4e0d\u65f6\u5361\u987f\u4e00\u4e0b\u3002\u663e\u7136\uff0c\u64cd\u4f5c\u7cfb\u7edf\u7684\u7ebf\u7a0b\u8c03\u5ea6\u903b\u8f91\u4e0d\u4f1a\u5bfc\u81f4\u8fd9\u4e2a\u95ee\u9898\uff0c\u7f6a\u9b41\u7978\u9996\u8fd8\u662f GIL\u3002GIL \u4f1a\u5f71\u54cd\u5230\u7cfb\u7edf\u7ebf\u7a0b\u7684\u8c03\u5ea6\u3002<\/p>\n
      \u8fd9\u4e2a\u95ee\u9898\u5728 CPython \u5f00\u53d1\u8005\u4e2d\u5e7f\u4e3a\u4eba\u77e5\uff0c\u88ab\u79f0\u4e3a convoy \u6548\u5e94\uff08convoy effect\uff0c\u8bd1\u8005\u6ce8\uff1a\u6765\u81ea lock convoy\uff0c\u6307\u9891\u7e41\u5207\u6362\u9501\u7684\u63a7\u5236\u6743\u5bfc\u81f4\u7684\u6027\u80fd\u964d\u4f4e\uff0c\u6709\u8bd1\u4e3a\u9501\u5c01\u62a4\u7684\uff0c\u5e76\u4e0d\u76f4\u767d\uff09\u3002David Beazley \u66fe\u5728 2010 \u5e74\u6709\u4e00\u6b21\u9488\u5bf9\u8fd9\u4e2a\u95ee\u9898\u7684\u6f14\u8bb2<\/a>\uff0c\u5e76\u5728 bugs.python.org \u4e0a\u63d0\u4e86\u95ee\u9898\u5355<\/a>\u3002\u800c\u5728 11 \u5e74\u540e\u7684 2021 \u5e74\uff0c\u8fd9\u4e2a\u95ee\u9898\u5355\u5df2\u7ecf\u5173\u95ed\u4e86\uff0c\u4f46\u5e76\u6ca1\u6709\u89e3\u51b3\uff0c\u5177\u4f53\u539f\u56e0\u4f1a\u5728\u540e\u6587\u5206\u6790\u3002<\/p>\n
      3. convoy \u6548\u5e94<\/h3>\n
      convoy \u6548\u5e94\u53d1\u9001\u7684\u539f\u56e0\u662f\uff0cI\/O \u5bc6\u96c6\u578b\u7ebf\u7a0b\u5728 I\/O \u64cd\u4f5c\u65f6\u4f1a\u91ca\u653e GIL\uff0c\u800c\u5728\u91cd\u65b0\u83b7\u53d6\u65f6\uff0cGIL \u5927\u6982\u7387\u5df2\u7ecf\u88ab CPU \u5bc6\u96c6\u578b\u7ebf\u7a0b\u5360\u6709\u4e86\uff0c\u56e0\u800c\u5fc5\u987b\u7b49\u5f85 5ms \u7136\u540e\u8bbe\u7f6e\u00a0eval_breaker<\/code>\u00a0\u548c\u00a0gil_drop_request<\/code>\u00a0\u6807\u8bb0\uff0c\u5f3a\u5236\u5bf9\u65b9\u91ca\u653e GIL\u3002<\/p>\n
      \u5bf9 CPU \u5bc6\u96c6\u578b\u7ebf\u7a0b\u6765\u8bf4\uff0c\u6bcf\u6b21 I\/O \u5bc6\u96c6\u578b\u7ebf\u7a0b\u91ca\u653e GIL \u90fd\u80fd\u83b7\u5f97\u8c03\u5ea6\uff0c\u800c I\/O \u5bc6\u96c6\u578b\u7ebf\u7a0b\u5fc5\u987b\u7b49\u5f85 I\/O \u64cd\u4f5c\u5b8c\u6210\u624d\u80fd\u88ab\u8c03\u5ea6\uff0c\u56e0\u800c\u5b9e\u9645\u83b7\u5f97\u7684\u65f6\u95f4\u7247\u6bd4\u8f83\u5c11\u3002\u5982\u679c I\/O \u64cd\u4f5c\u8db3\u591f\u5feb\uff0c\u6bd4\u5982\u4f7f\u7528\u975e\u963b\u585e\u00a0<\/code>send()<\/a>\uff0c\u5e76\u4e14\u4f7f\u7528\u7684\u662f\u5355\u6838\u8bbe\u5907\uff0c\u4e24\u7c7b\u7ebf\u7a0b\u7684\u8c03\u5ea6\u673a\u4f1a\u8fd8\u6bd4\u8f83\u516c\u5e73\uff0c\u56e0\u4e3a\u64cd\u4f5c\u7cfb\u7edf\u4f1a\u5fc5\u987b\u51b3\u5b9a\u4e24\u4e2a\u7ebf\u7a0b\u5148\u8c03\u5ea6\u54ea\u4e00\u4e2a\u3002<\/p>\n
      \u800c\u5728\u591a\u6838\u8bbe\u5907\u4e2d\uff0c\u64cd\u4f5c\u7cfb\u7edf\u53ef\u4ee5\u8ba9\u4e0d\u540c\u7ebf\u7a0b\u8fd0\u884c\u5728\u4e0d\u540c\u6838\u4e0a\uff0c\u56e0\u6b64 CPU \u5bc6\u96c6\u578b\u7ebf\u7a0b\u51e0\u4e4e\u603b\u662f\u80fd\u6210\u529f\u83b7\u53d6 GIL\uff0c\u4f46 I\/O \u7ebf\u7a0b\u5374\u5fc5\u987b\u5728\u6bcf\u6b21 I\/O \u64cd\u4f5c\u4e4b\u540e\u7b49\u5f85 5ms\u3002<\/p>\n
      \u5f53\u7136\uff0cPython \u7ebf\u7a0b\u4f1a\u5728\u522b\u7684\u7ebf\u7a0b\u6709\u9700\u8981\u65f6\u5f3a\u5236\u91ca\u653e GIL\uff0c\u4f7f I\/O \u5bc6\u96c6\u578b\u7ebf\u7a0b\u80fd\u5728\u4e00\u6b21\u5207\u6362\u95f4\u9694\u540e\u6210\u529f\u83b7\u53d6 GIL\uff0c\u5426\u5219 convoy \u6548\u5e94\u4f1a\u66f4\u4e25\u91cd\u3002<\/p>\n
      \u90a3\u4e48\uff0c5ms \u7b97\u4e0d\u7b97\u4e45\u5462\uff1f\u53d6\u51b3\u4e8e I\/O \u64cd\u4f5c\u6240\u82b1\u7684\u65f6\u95f4\u3002\u5982\u679c\u6bcf\u6b21 socket \u64cd\u4f5c\u90fd\u8981\u7b49\u5f85\u6570\u79d2\u949f\uff0c\u591a\u4e2a 5ms \u4e5f\u65e0\u6240\u8c13\u3002\u4f46\u6709\u4e9b I\/O \u64cd\u4f5c\u5176\u5b9e\u975e\u5e38\u5feb\uff0c\u6bd4\u5982\u5bf9\u00a0<\/code>send()<\/a>\u00a0\u6765\u8bf4\uff0c\u9664\u975e\u7f13\u5b58\u5df2\u6ee1\uff0c\u5426\u5219\u90fd\u4f1a\u7acb\u5373\u8fd4\u56de\u3002\u90a3\u4e48\uff0cI\/O \u64cd\u4f5c\u53ea\u82b1\u8d39\u6570\u5fae\u79d2\uff0c\u51e0\u6beb\u79d2\u7684\u7b49\u5f85\u5c31\u5f71\u54cd\u5f88\u5927\u4e86\u3002<\/p>\n
      \u5728\u524d\u9762\u7684\u4f8b\u5b50\u4e2d\uff0c\u6ca1\u6709 CPU \u5bc6\u96c6\u578b\u7ebf\u7a0b\u65f6\uff0c\u670d\u52a1\u5668\u6027\u80fd\u4e3a 30k RPS\uff0c\u5373\u5355\u6b21\u8bf7\u6c42\u5904\u7406\u65f6\u95f4\u4e3a 1\/30k \u2248 30 \u00b5s\u3002\u589e\u52a0 CPU \u5bc6\u96c6\u578b\u7ebf\u7a0b\u540e\uff0c\u6bcf\u6b21\u00a0recv()<\/code>\u00a0\u548c\u00a0send()<\/code>\u00a0\u64cd\u4f5c\u90fd\u9700\u8981\u989d\u5916\u7b49\u5f85 5ms = 5,000 \u00b5s\uff0c\u5219\u5355\u6b21\u8bf7\u6c42\u82b1\u8d39 10,030 \u00b5s\uff0c\u4e5f\u5c31\u662f\u6bd4\u539f\u6765\u591a\u4e86 300 \u500d\u3002\u56e0\u6b64\uff0c\u6d4b\u8bd5\u7684\u7ed3\u679c\u662f\u541e\u5410\u7387\u4e0b\u964d\u4e86 300 \u500d\uff0c\u6570\u636e\u548c\u7406\u8bba\u9884\u671f\u4e00\u81f4\u3002<\/p>\n
      \u4f60\u53ef\u80fd\u4f1a\u95ee\uff1a\u73b0\u5b9e\u4e2d\u7684\u5e94\u7528\u662f\u5426\u6709 convoy \u6548\u5e94\u7684\u4f8b\u5b50\u5462\uff1f\u6211\u4e0d\u6e05\u695a\u3002\u6211\u81ea\u5df1\u6ca1\u6709\u78b0\u5230\u8fc7\uff0c\u4e5f\u6ca1\u542c\u8c01\u63d0\u8fc7\u8fd9\u4e2a\u95ee\u9898\u3002\u5b9e\u8df5\u4e2d\u6ca1\u6709\u4eba\u62b1\u6028\u8fc7\u8fd9\u4e2a\u95ee\u9898\uff0c\u4e5f\u662f\u5b83\u4e00\u76f4\u672a\u88ab\u89e3\u51b3\u7684\u539f\u56e0\u4e4b\u4e00\u3002<\/p>\n
      \u4e07\u4e00 convoy \u6548\u5e94\u771f\u7684\u5f71\u54cd\u5230\u4f60\u7684\u5e94\u7528\u6027\u80fd\uff0c\u4e5f\u6709\u4e24\u79cd\u5e94\u5bf9\u529e\u6cd5\u3002<\/p>\n
      4. \u5e94\u5bf9 convoy \u6548\u5e94<\/h3>\n
      \u65e2\u7136 I\/O \u5bc6\u96c6\u578b\u5fc5\u987b\u7b49\u5f85\u4e00\u4e2a\u5207\u6362\u95f4\u9694\u540e\u624d\u80fd\u83b7\u53d6 GIL\uff0c\u6211\u4eec\u53ef\u4ee5\u7f29\u77ed\u8fd9\u4e2a\u95f4\u9694\u65f6\u95f4\u3002\u7528\u00a0<\/code>sys.setswitchinterval(interval)<\/a>\u00a0\u51fd\u6570\u53ef\u4ee5\u8bbe\u7f6e\u5207\u6362\u95f4\u9694\uff0cinterval<\/code>\u00a0\u53c2\u6570\u662f\u4ee5\u79d2\u4e3a\u5355\u4f4d\u7684\u6d6e\u70b9\u503c\uff0c\u800c\u5207\u6362\u95f4\u9694\u662f\u4ee5\u5fae\u79d2\u8ba1\u7684\uff0c\u56e0\u6b64\uff0cinterval<\/code>\u00a0\u7684\u6700\u5c0f\u503c\u4e3a\u00a00.000001<\/code>\u3002\u4e0b\u9762\u662f\u4fee\u6539\u5207\u6362\u95f4\u9694\u540e\u7684\u6d4b\u8bd5\u7ed3\u679c\uff1a<\/p>\n\n\n\n\n\n\n\n\n\n\n
      \u5207\u6362\u95f4\u9694\/\u79d2<\/th>\nRPS\/\u65e0CPU\u5bc6\u96c6\u578b\u7ebf\u7a0b<\/th>\nRPS\/1CPU\u7ebf\u7a0b<\/th>\nRPS\/2CPU\u7ebf\u7a0b<\/th>\nRPS\/4CPU\u7ebf\u7a0b<\/th>\n<\/tr>\n
      0.1<\/td>\n30,000<\/td>\n5<\/td>\n2<\/td>\n0<\/td>\n<\/tr>\n
      0.01<\/td>\n30,000<\/td>\n50<\/td>\n30<\/td>\n15<\/td>\n<\/tr>\n
      0.005<\/td>\n30,000<\/td>\n100<\/td>\n50<\/td>\n30<\/td>\n<\/tr>\n
      0.001<\/td>\n30,000<\/td>\n500<\/td>\n280<\/td>\n200<\/td>\n<\/tr>\n
      0.0001<\/td>\n30,000<\/td>\n3,200<\/td>\n1,700<\/td>\n1000<\/td>\n<\/tr>\n
      0.00001<\/td>\n30,000<\/td>\n11,000<\/td>\n5,500<\/td>\n2,800<\/td>\n<\/tr>\n
      0.000001<\/td>\n30,000<\/td>\n10,000<\/td>\n4,500<\/td>\n2,500<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \u53ef\u4ee5\u770b\u5230\uff1a<\/p>\n
    Thread<\/code>\u00a0\u5b9e\u4f8b\u7684\u00a0start()<\/code>\u00a0\u65b9\u6cd5\u4f1a\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7cfb\u7edf\u7ebf\u7a0b\u3002\u5728\u5305\u62ec Linux \u548c macOS \u7684\u7c7b UNIX \u7cfb\u7edf\u4e0a\uff0c\u5373\u8c03\u7528\u00a0pthread_create()<\/a>\u00a0\u51fd\u6570\u3002\u65b0\u521b\u5efa\u7684\u7ebf\u7a0b\u4f1a\u4f7f\u7528\u00a0boot<\/code>\u00a0\u53c2\u6570\u8c03\u7528\u00a0t_bootstrap()<\/code>\u00a0\u51fd\u6570\u3002<\/code>boot<\/a>\u00a0\u53c2\u6570\u662f\u4e00\u4e2a\u6570\u636e\u7ed3\u6784\uff0c\u4fdd\u5b58\u7740\u76ee\u6807\u51fd\u6570\u3001\u4f20\u9012\u7684\u53c2\u6570\u4ee5\u53ca\u65b0\u7ebf\u7a0b\u7684\u7ebf\u7a0b\u72b6\u6001\u3002<\/code>t_bootstrap()<\/a>\u00a0\u505a\u7684\u6700\u5173\u952e\u7684\u52a8\u4f5c\u5c31\u662f\u83b7\u53d6 GIL \u5e76\u8fdb\u5165\u6c42\u503c\u5faa\u73af\uff0c\u5f00\u59cb\u6267\u884c\u76ee\u6807\u51fd\u6570\u7684\u5b57\u8282\u7801\u3002<\/p>\n
    \u5728\u5355\u7ebf\u7a0b Python \u7a0b\u5e8f\u4e2d\uff0c\u4e3b\u7ebf\u7a0b\u662f\u552f\u4e00\u7ebf\u7a0b\uff0c\u4e00\u76f4\u6301\u6709 GIL\u3002\u6211\u4eec\u6765\u770b\u770b\u591a\u7ebf\u7a0b\u7684\u60c5\u51b5\u3002\u901a\u8fc7\u00a0<\/code>threading<\/a>\u00a0\u6807\u51c6\u5e93\u53ef\u4ee5\u542f\u52a8\u65b0\u7684 Python \u7ebf\u7a0b\uff1a<\/p>\n