引文一下吧
http://blog.csdn.net/hackbuteer1/article/details/7487694
一、static在C语言中的含义
1、静态变量作用范围在一个文件内,程序开始时分配空间,结束时释放空间,默认初始化为0,使用时可以改变其值。
2、静态变量或静态函数只有本文件内的代码才能访问它,它的名字在其它文件中不可见。(限制了访问范围)
二、c++中的扩展
2.1 static修饰成员变量
如果一个变量是类的一部分,但却不是该类的各个对象的一部分,它就被成为是一个static静态成员。一个static成员只有唯一的一份副本,而不像常 规的非static成员那样在每个对象里各有一份副本。
静态数据成员是该类的所有对象所共有的。对该类的多个对象来说,静态数据成员只分配一次内存,供所有对象共用。所以,静态数据成员的值对每个对象都是一样的,它的值可以更新;
理解如下:
在头文件中,声明一个类(本质上是声明了一种新的数据类型而已),并没有真正的分配你空间。仅仅是一种口头上的宣称,并没有付诸行动。
但是但是,如果在类的声明中,声明了static的成员变量,由于静态数据成员存储在全局数据区。静态数据成员定义时要分配空间,所以不能在类声明中定义,既然不能在类中定义,那只能是在类中声明,在类外定义了。例子如下:
class Myclass
{
private:
int i;
int j;
static int k;//在类中,仅仅是声明 public:
Myclass(); } int Myclass::k = ;//这里才是真正的定义,在全局数据区分配空间
因为静态数据成员在全局数据区分配内存,属于本类的所有对象共享,所以,它不属于特定的类对象,在没有产生类对象时其作用域就可见,即在没有产生类的实例时,我们就可以操作它;
2.2 static 修饰成员函数
同理,一个需要访问类成员,而不需要针对特定对象去调用的函数,也被称为一个static成员函 数。
类的静态成员函数只能访问类的静态成员(变量或函数)。
祖宗的杀手锏!
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" 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看看log4cplu的牛人作者是如何使用这个static修饰的成员函数的吧:
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x1+URNEx61ILQbldwZtQAAACJBZCc2ENnXx5ENjFpg3bKdsbbONOaECJ7MZQapyjyOrDI4vzwoqZ5g/NzZE/yyyKZXZlORddZhT5H17QEl/8i95Mik7xlHFgAAEkBkJ7YQ2ddm9hL6ViNccwgwWPxViNQd5s0tSWR723vkoZ1MGVJdtm6fm4wju6oyG4ussWlVcx82zezOzCey9VfbePaAsqI7TWg3jqUxsxcAAMSCyG7L4IzR4X0ZIGLwQ+huVeSwrK8iv+yVq7B0K0VkAQA+F0R2a5ydsrswdPEyJNHbM/R9igMCbM6OIpveHdv3qS+HAQDAG4HIbs7QKbuPS2pxBeZItPA+iOG/8iCs27ObyA7RsSv6Vn0j3wEAwDuDyOZgDH3N/4DfFlmCCt4SW2R3CSoY2EdkX5zgYBoHhDYAAPBRILIAAAAAUCSILJyKimXVAgAA8IkgsnAqDjfCQhcAAIBPBJGFU3G4ERa6AAAAfCKILJyKw42w0KVYpgnueEMLQGZqI4zLASCCyMKpONwIC13KZBxqgHGPAbzQUgDcILJZccxMG2L6BX5ZN6rmCpLnt89FfufrqpmmO1xAV9X2UdXTh+2jXJEdp06mn0lkpya567RtKlnHKFx54c2FOCW4QXD4uSEBM9gBWCCyWVlzPVUGxBwvXL5b2igDngkR7k3E/eKEItvWlY2mnorPJSjpLiL7aJdSOv2rZvq8biM2JLPIPr7q6lJFH/eu2XAIW27MXkoR2cRTaCw186wxh4msfNRiRLYPTggyXusJwgEwQGSzsuJ6Knin65amdtwai5K4PJHtmspHg8i+gchyVw7wziKbfR7vMkU2OEUzv/0AJBDZrKwVWX3eeM/FUbod3Jv0+995RFZVwCwiu8uymciKy2Eiux2rZ6P9GN5XZIffMDd5jUfbV9W4tKtrVarIjjuHTlmAFBDZrDiup6ODWq9ra5+PEVOt3e16u/fTj/OI+0dUHVqfK+/5WvnieYuwGgLXmKZoa+7Sp1tXjzlKoXFZoNbx2RmZ19XDUkmtz7hR/p3qHC+y/g2Ra+sW2e5WVZeqko6V/dX4iboM396bapSboQt27oV9tNequip+Mae8N2Ymy7pCJ+7Q8+Trk9Pbgnln1791eoOabBSn4QGFdEqvW8uO7THa2iIxSiaiY8U0SZtnW2sHUdnV98ZWTNM7Z5FV87laCukoJekUGrPydMc+2r6q+7nsWvk7jcQLb7/NYRIekQ3nT3zmoU5ZV8MZ8z1BVwTA/iCyWRGup1I8wHRdShfZiF/5kXUwL4O+emZEEVnJIMUuT9v/5OCEOJEV0GviC3x4J5G91pa4yCIbt2gu6493Ec/P+VSXz161g89uR87F+zMyZi0hSD0u2/QmKSDu//kARYts4Hi5S0k6habMrI2faaq+U/59tH3derffReKFt9/mMPlFNpj5tNXeXzCO6z4iC58MIpsV63o6XNHsm+7ySWpoQdBlHXXQrdQsIlxPkUd7DQhN6Eorv+O1PIV3PGE3nsgbPbKh5/KOUFTlwzmlqshzyld6ZAOhBTlFtnc9F57FxczHKbLLs+lFemYTGs8KpRTvuz7S+dndpvPc/nZSSfPsVZvGYhLzJg19Wy+vZeLM1mzjgkV5m6TAsGP13u57s05kleiC8XhNnwRKSTyFPI/Ou75qrE/WdcqmX3jXHibjyZj/Wu3LXKm8L7rAEZODyMIng8hmxbieyg+8upt6p4wWWWt8A7MryFGoGJOgFxFTT5ENRNbfOaoZbR6R7STpnPMXIx/OI7KpeCxEipt0hxZ40gjJfL+K/DEz8rdG1KUQkiid0kaydWvZhLM1W3REkxQJvXuXFFqgMtjteBADpSSeQveba6serSWyfV/rfbSxpF94NzpM8TGynuMr3AOMvEI9CgAfBSKbFeMCqkbauR5yJYjslKv93ErVTemabvmoXkRMPTOR8Ph+T5EdpdNRIiJrprE78GJF1vfk2R1AqK/lUlJnWOQLa/V9L/2k9IusrnMxTVJmebIv/sBcLbL6QfSXknYKPb6uvgDZTCIbcUHb6DAlvOzlVnrvq2qILIAJIpuVXURWYyriptyp7DpYF8mziey8iJEGo70hsh8nsq5vdcnYU2Qd4Y8pIhvTJJ1YUaq18ih8G5H1l/IxIht1mBBZgP1BZLMiXU8Dl6AXRdaOP1wrsmsulVuEFjgWNTi1LJFdStFz+GCR9cTIltUjO0bE2sGXu4msWtnpta1p528nsp5SihFZ/wWtFJFl3DoAC0Q2K1GP9XVyi6w8fosQI7tmvK0NRLYR7VNUw/1FVuxPlURWi/RV6qB2MIsTHHyGyPpGLfAPli/HyEov7uwispLcJItsTJOMpbsp3aXScUyIkXVfANRSNouRFV7tsj+JJP3Cu9Fh2kRkfd7NnAgAFohsVsyf1lMsnT0Upe9lL+lpkutH+/gQTbnQOeog1Mq8HHvrmQlvdKwhi+5BZ/OJrNox3HmrEdwQsSBz9NzMoxaMb5dLH2YVWd84shuNWrCfyGoJrAYYITExTbKflFE5WF2jBhL0/bTzpw/H3lMhQsActUAPqq+1NKFS0k4h7yv5xvBbXWMOv2XvKZn0C++qwzQHlvjGe4nL3KiWaxc5G07sngF4QxDZrMSP4eoVWSPG63ZfnmmKi1aiXQfnuqFxZNd10yYR8j9dTIXxYqUJETYUWXV1gUYuyEaLN3BvSHaR1aYtsEezN9hMZP1PSDcZR3afGFnXwKJJIhvZJCWRlZ57LAmcT0jC48gmlJJ0CvljRzotusCeECF2Gpj0C2/UYXLG2jrTmBMieDKf8HXFO2f2Cg4LB/DGILJZiZlgxkjgeKykjrtuj324LPZvdbEO6o3z2j5Dwx8K9cyEGUWg0hlKKipgbpG1elubbinOHu9W2BZ7xjL3huQXWV1ldhPZ4GSbm8zspW5ktlELVEOaJwZLFNk+pklaItvblmmZjOqyTecMLehU5bUOfaiUhFMoGDvSeKao9c+joVUo9cK75jBdmrsU9Gtfq1NE1hcG4Y4r8IeWA7w3iCycClnyTr7Mka9mhOt+S4EQ7fehGKP+xhMcwvcAIkbXTsITV+D57XfGPQOwG4gsnIrjrTSwPKpaF1bPSFuIrJfxxrzDxMdwLvydsi4eX9f8sU1pDF282/WEruuOPeOeAdgRRBZOxdGeGieyIsd1xxbbZnlD5UPxzlHsWqe9Hj1+qhjKvN0PMU/guLelnGDPABwJIgun4mhPXSuy3cEVK5YpwpT+pA9jjFct6rjbIrtd9ceGIKnq1EZ4dgEggsjCqTjaU0tdAAAAPhFEFgrlcHcsdAEAAHgfEFkolMONsNAFAADgfUBkoVAON8JCFwAAgPcBkYVCOdwIC10KZp40qag3hAAAICOILBTK4UZY6FIq0xvjjNUFAAALiCwUyuFGWOhSJuM4moxABAAAGogsFMrhRljoUiRjUAGTcH4sjDcMAA4QWSiUw42w0KVApu5YJOZDYQY4AHCDyJbD/XaGPqnhntIcPx9ifufrTjL97Au1VeYhax+liizdsUF2apXPtr5U9d46Ocxna0eVPNvrmeT2HNdn2IrT3OlErInxPDPDbcwZ2x0iewjDrTmxgyniQulre+PtwDNLeFStTtO8F4drpUljNfVUfC5BSXcR2UfrnOe2mT6v24gNySyyj6+6ulTRx71rLlV1abrV5S2UOJfp3pQisolnUd/30x1auPAddkOV9zYi+15s0aY2vAyqDPdy69Qfapz9FDxju0NkD2FvkZ0CzIRFSVyeyHZN5aNBZMsX2fHcvR1/xp2Y9xXZ8fe3dFU64w0VkX0bziuy3c312uswtEvm3/xnbHeIbDmsFtmxS8s+8+9NekM9j8iqCphFZHdZNhNZcTlMZDdjHHULQfDytiLr62Q64w11i/P00V6r6to+1q3dVH1V9d3Ltfh4TnOnMxh+2rl+2D+/6txXyzO2O0Q2J8ulzRjK3XEqjMY5pmyNwybkpmUidLve7vPnEQ1yVa2kNF30HnqBxfMWYTUErjFN0dbcpU+3rh5zlELjskCt47MzMq+rh6WSWp9xo/w71TleZP0bItfWLbLdraouVSUdK/ur8RN1Gb69N9VoNkPfw9z9YN2M55T3xsxkWVfovRjO9cCoW9rpZ13G9W+d/qEmG28TSkMzzup1a9nhPUZzC7Vxx0Y5WqXNs62146js7XtjK6bpnbPIqvnYyuUoJeksmnK6uo9+1PWqs756cfe6LrMJmQdYJbKPtq+qvqr6ptlGZGlTr7cp81CqFzrXKr12hbR7c93dsVN1cnfKnrHdIbI5GY7f9WodYOFUcD39N0RWWKZ8/CIb8SNtVa3kNDsM96mIrGSQYpen7X9ycEKcyAroNfEFPryTyF5r68ori2zcol67XS/6qLUVzs/5bJdPYLU7w9WshEXZI+vWEuLU47JNb5UC4iGYj1G0yAYOmbuUpLNoyszYQSqR1yvl3Nli9/pvqMHMI3itR7bv+qru1648ZkGb2qRNpYus0EYutXrxuzehUyp7T/IZ2x0im5P5+JnPAaxTQXr6b/akCrmZ3VXe0IKgy0bVyixiSGNfxQIxjY/2KjbpZQm1RPkdr+UpvOMJu/FE3uiRDT2Xd4SiKh/OKVVFnlO+0iMbCC3IKbK966HwfB0383GK7PJgerkHzNfx8axQSvGESA6ZyA1nPNXtb6fbnt2sltaxXHbnYscAh1fXMnFm62njUa1SYNi3Vt/PKpFVogvGQzZ9Eigl8SxyvNQy10a8XnmuRWt3r3Ep9l9mfZlHcbTI0qb6vt+kTYUO5dAcltN+aAhqKzA/iYkcyB1dcMZ2h8jmxBk1ZZ4K4tN/URmN3Iw0rrY3DcSpLrYbrKiV/JShu/ncY8jmdZH1d45qRptHZDtJOuf8xciH84hsKh4FkYIm3aEFnjRCsoDI+sNm5G+NGDOhWUlntZFs3Vo24WzNRh11rRAIvXeSFFqgMtjteBwDpSSeRf7fxMYOj7gWbbR742NkV/WOHSyytCkxjUTwXS7voRwkNWS93U0t4n6LOJ/uTbgn6QXO2O4Q2ZzEiqwc1hIjssaJHWh7Qg+/WuiKWqmhS8aSO7og4fH9niI7SqejRETWTCPFh0WLrP85mytaTF/Ldft0hnm9sFbf99KvSv9NV2/jcdcKieWppbg3V4usfhz9peQU2Yhr0Ua7N+FlryjxCP+qT/HaF0WWNqXl+VKb8oisabG9O/CgWqILHl/XiDtrzNtYY2ewskT/3Dpju0NkcxIrsvK1Y3uR1ddszN7+FbU6XmTnRYw0GO0NkS1cZB0nk/+m6/pWv2juedN1xIql3HTjrhUOrAg8JfxuI5H1l3J6kY3avR8ssrQpE1+bconsGKJjdOV+ssi+2u4Q2ZycWmTtCLS1IrvmIcYWoQWORQ1OLUtkl1L0HD5YZP1hhmX1Ho3Re3Yw2W43XbWy02tb0/7fTmQ9pSSeRUkxshHXopOKrMGxoQW0qZEN2pR8KAdhra1LWtdcXD27Wp02EdkXOGO7Q2RzkhZaYJ6fR4tsTK1Wj/Wxgcg2on2Kari/yIr9qZLIapG+Sh3UDmZxgoMPEVn/OLL+sWjkeD7pRYRdbrrSxTr5pht3rYijuyk3VOlQJsTIuq8BaimJZ1HSqAUR16KNdu9biyxtamSDNiUcSvt9VuMr/+wJZ42RPbrdIbI5iX7ZawzxEUYMSBNZ6Vmc6+eZPYN9uFZzKJJxbklj++UeTdYbHWvIonvQ2Xwiq3YMd95qBDdELMgcPTfzqAXCG7W9R0E2E9nAzF6Od11T37De76arJbDaYPSPVX+r7O0XovuuMTuBhv0/fWg97pyfmRoiq50DUy/UlCZUStpZlDaObPhatGr3ui7F5il5fpEVtk2CNrVVm7IO5dCmXFOKTI/79Uvis62XT844asEZ2h0im5NokfUEmqSJrJHP7b48fBEXrQ52rZzrqs3bMfzb0SKri6kwXqw0IcKGIquuLtDIBe7JzwcAAAzFSURBVNlo8QbuDckuskYIlzmUvcF2Ijtdz/wDFxhL6piX+8TzuQZKTLrpRrZK6aarHD7jOPa95yGJKbK+TIKlJJ1F0/1NvivHj3udcEONuhQLl9kSRDZ6ahza1JZtaj6UzmGYFxuWxpHVLpLljCO7a7tDZHOSILK90ZaauxUPE3mhVAeItgdyWxa7myNYq2v7DI2hOCx7zF9nRhGodIaSigqYW2St3tamW4qzx7sVtsWescy9IflFVr8Q7yeywrMDE/30E9uIeGeav93tDWv1il9/PdMfg6pl+VqlddPt7fuudbNTXbbpnKEFnaq81tEPlZJwFvXeYStiZhgS+ngSd690Ke6ly+zBItuNM3sZS6fUxRenYUGb2qBNJYts309PLebFOBPKmNlr73aHyJ6XiNFYPxlZ8k6+zJGvZoTrfkuByM+u4DOInpkwcxVKP/uc3SpQFMaYvdK373KU49sdIntWht83e3RtFsrxVhpYHlWtC6tnpC1E1k+4UxbelvA0xXl5j0vx4+tavoxD3/s6ZfN3x+5ISrtDZE+CGKNz2KW7BI721DiRFTmuO7bY1j11ytIkPpHIt5S24T0vxc/2mvNNdtgTx7B0voDy8/NSu0NkT4J9FN/kZ1U2jvbUtSLbHVyxUplaSOk9Y7CKKRAy/2WRSzGcH+sV2LGBlHt5fKndIbJQKEd7aqlLwczvrGIWAAAwgMgCAAAAQJEgsgAAAABQJIhs+cgToEMGonb1i+OZewhMDbBJ9oe/KpA8nnfxwWEAALAeRLZ8XhZZeQL0cajnZbx6R7LV+fsYxuR3riJOdJmMuYFhjhRZx5uqMmljn08rhUXWZ5nqUNXyO6dRtVozMU3Zr+sCAMB6ENnyeUeRHSdBcehgd7NmQ1lDUSIbmtBFZ2+RdU0UWQkTDGYQ2TcbQBEAAKJBZMsnl8iuTLbRisNsmaKtdo3bcfNymMj6Z3PZiNUiO4Y82Jp9b9KVdO1U4W81pQ0AAESCyJ4AcwpmpY/w3tgK6JgA/aHlY4uUo5ThIb62jP1ampA5k4Vq6M5/2UBhw6dMBGs0Zma3J7A2tn1JP8+LPRRkGWcwq6hd7RBZ95ZKResJXN2xi3oaI1PFTId9aw1lFHLTMhG6XW/3+fMI9VxVKymNufeW3IXvxo1Z8QsMAABODyJ7NJrfWG4ULbJCJpYQi6UcKLLCV2oXrCO6wIwrkDff3Pb6WlvfRoiskVXMrpZENrCl/nNgVDEpOnZQz+vVkjxBGV1P/w2RFZYpH7/IRnSGrqqVnEYKsnD05SKyAABvDCJ7LMMDdL377d6sE1ml83LIdv4kUIrj0b8pZHKyiBp6VhR6Z5dPxOiCYFzBuO2Kn02aaHbWBWMArKzCu1rKNrCloXPA89B8Vk8z6MBSRunpv9mTKuQ2SOCylje0IOiyUbUyixjSqBtofzLlL+4oRBYA4I1BZI8l9L5RUmiBitadGSjlCJGVJbK7SZ2p6qbZn9gYaZyrRASzSmEM3l1tZxvc0uA7Z/eby8OcUa2mMopP/0VlNHIz0rgCWIfPQxMMrqiVHI3Q3cT8B2dlQnkAgA8CkT2Y5aGzGPi3WmT1fj5/KUeI7Byu6n3mbvW/mqarl6guq0XWl1XErrayDW9p4Bx4fF1d4xXEiqwcPhojsoZFB97EEoIT1EJX1EqJ1o2ILnAE4QIAwNuCyB6PFUBpRk++LrL+Uk4ssnpE7ND3aZiPGGC6TmSDWeUR2d5/DmwgsnKQ7fYiq6/ZmIEKK2qFyAIAgA9E9kws7xJNVrSdyHpKOUxkY4b9VDTUGaIgRaCmi2xEVqtFNn6AU/scKFVk7Tkc1opsdLAAIgsA8GkgsqdD64OUJCwhRtbtT2opr4usv4ZuAY2ZjGAOIRVXkd79WimyEVlF7WrRj1OmXTBHZng9RnZ4iG/K8NEiG1OrtIkOiJEFAPg0ENlj6RrzrXz9Vf2xf06IEDBfpddjEWstTagUecbXiLfvI2sorTiFouqG92xry/nG6Wq/RDW335QaH+WvFFl/VuFdbWcb3NLQ0QmNWhDzstf4MpYwYkCayEojBri6QceoACXDcK3ml8YMdTZd9vlVSy+TyTtK2HgAAHgTENljcQRQmkNQCUt4HNklk2ApegJpHNlAMn8N5RXF0VWlzksldFWaHFUufUWMbDir8K4W95t/S4NHJzSObITIeoJN00TWyOd2nzpNHYtWB7tWznVD48haats7u4vHMhh+CwDgHUFkD8f0GPkRv6I+jtCCThVKy9tCpaiK5hRZMVlEDZ0rWu9XyYNhTfk7hspSNbH+erwy/FYgq6hdHTOzl/cXgn10wjN7GYi9pJo1Nncr+DZKZKeAgUVkl2Shl7GCtbq2z8BQtZIfaxk5ZvaiOxYA4D1BZAHOzyCPG0d/ukZjLRNXAIZT9gEA4A1AZAFKwNUpu5qhj/NdeiqdL4U9vq5vZOsAAGCAyObCPXqoESIJEIM5BEDq6lI06pZifCRDOIIzxoJxDAAA3hZEFqAUxkDRVf2Ltsi+Szfl+C7Yu/QtAwBACogsAAAAABQJIgsAAAAARYLIAgAAAECRILITy6jreYLtHm1fVX1V9VXd58g/XIFp0qT3iY4EAACAjwaRNXFNuPkqx4qsOfY9AAAAQPEgsjb2XEZbcKjI3pvth9MHAAAAOBZE1sY1RdBrHCmyebYIAAAA4FAQWZt12tdNnjotxnQHTpF99HVlrttqKcKZZ9kiAAAAgFODyNqka19bm6I5Ls2SRhTZ5UP3ijGZb75FAAAAAKcHkRVIiyjtGssslU7WuetUEFkp2Zhhk5Z5aIOyRP0CAAAAHAoiK9HdoseoUrRSTW8LqCCySsCArKTRmW+2OQAAAADFgMjK3JvIAWWt6FVzmbTVL7JywEB05h6G4WPpjgUAAIC3A5F1M80g4Bt+1RnkGiOyat+qvtRt*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" alt="" />
由于没有将类实例化,因此采取了类名::静态成员函数名(参数列表)的形式来使用静态成员函数。