一、大小写敏感

1. 变量名区分大小写

所有变量均区分大小写,包括普通变量以及$_GET,$_POST,$_REQUEST,$_COOKIE,$_SESSION,$GLOBALS,$_SERVER,$_FILES,$_ENV等;

aaarticlea/png;base64,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" alt="" />

 

2. 常量名默认区分大小写,通常都写为大写

aaarticlea/png;base64,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" alt="" />

 

3. php.ini配置项指令区分大小写

如 file_uploads = 1 不能写成 File_uploads = 1

二、大小写不敏感

1. 函数名、方法名、类名 不区分大小写,但推荐使用与定义时相同的名字

aaarticlea/png;base64,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" alt="" />

2. 魔术常量不区分大小写,推荐大写

包括:__LINE__、__FILE__、__DIR__、__FUNCTION__、__CLASS__、__METHOD__、__NAMESPACE__。

 
aaarticlea/png;base64,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" alt="" />

3. NULL、TRUE、FALSE不区分大小写

aaarticlea/png;base64,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" alt="" />

4.类型强制转换,不区分大小写

包括

  • (int),(integer) – 转换成整型
  • (bool),(boolean) – 转换成布尔型
  • (float),(double),(real) – 转换成浮点型
  • (string) – 转换成字符串
  • (array) – 转换成数组
  • (object) – 转换成对象
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAmAAAACjCAIAAACi6jW0AAAgAElEQVR4nO2dv07jzteHv/eRNkJIFC62cIdWRKw2voQXKW+0UlZCBCmtxQYkRBQUodVukwZRsFVIQTokClpugpvgDvgVHjvz58x4bI/tOHyip1jFju0M7DycM3Nm/vvACy+88MILL7yU1391PwBeeOGFF154beILgsQLL7zwwgsv4vVfq71TMZ3/+/+I6m8NAAAAWAJBAgAAAARbIMjd17v997Pd2psSAADANrEFgtx7W+6//ai/KQEAAGwThQX57eJ+tVqtVr8Hth9xJshD7325/7HGfz101zTB1fLl6fnlaX5S/w8JAABA9RQR5M/fq9Xq/qJ/8a8GQf748rHcfz/bbR16727V2D6evzw9P14NrhcQJAAAfFpyC/L7r3smxa81CHL39W7/4847b0em/PLgrEWCy0cmxQMIEgAAPjEOxiDrEOTe25IJ8vzMZ6aUEBOwOQYpTYKMErCPVwd1//wAAACUREMFufNws/+x3P+48x5oQe69cW9GJ2d1pEGQ0aHnl8VlUP+PEAAAQBk0VZCtxJHL/fQU66H3vkxKQYLLx6fnFwLJhYggAQDgM9NgQbbaO2wwMl2Te2/LzLWSGIMEAIDPTNMFyYogz8/8j+X+x81ecoi9wwFBAgAAsKfhglzXeEShJAsiIztyg458BOkixQoAAGDb2S5Bsok5gixb7R33KVa2jAAm6QAAwNbSTEEeeu9RNjUugpRCxocbbmGduN7DpSBP5izuvD2u/UcIAACgDPILMvKi8vrbT/ugw5V09OvM7b0JhzIsaB6XcEjMB8JpcZ4WggQAgC2l2YuVP9wIE3OqJPLo8jqo5e4AAADKptGC3H29q0uQbL1W1EECAMC20mhB1sLx/OUJsSMAAGw9ECQAAABAAEGCbcMLul7dzwAA2AIgSNBUvH44nZ125Pf9o/FkOu5lc6TfC2eTIapaAQAcEGQjObheaCpMMhS08Fdr4pBqZ0QozeuH03Gv0+8p4jTi90LCtQCATw0EWZDjeeUTdoxr4LHFabNckNV01u1Ic+SnHu0OY6VxpuwOZ+GRv9Nqd4fGINLrh4JcFUF2RpPpqJvri3SHs8mUPQYAoMEUEqS4VkD6EgEREGQhgqsleUdxg2hl5YQUBrd1r5xnTnLyR/1eOJtMZ5Pp6HQ4m0xnk2Gw0+n3PCmmNAaFcnqWEuSw7+cay8wtyFzJYbGJpkgUA+COgivpJFL8/uve1pEQZAGCy0eq/vLHF7aW3npxWkdXrorOyOQG9aiaX5Xe6Ywmw34vnNGX9fph2PfX75CCrNo0uQXZHc4m03Gv0w8hSAAc4i7FOvi7Wq3uL76nnglB5udkTiVXuYXa48Vp3V28GrrD2UQwVspRll9NEqGRzzqjyXTGiMNKOp7bIkH6R2P2qB4ECYBT3Any28X9arX68zP1zOKCpAfhpP6dbbhBbWUVXC1fFpcBv+xqpuwiWysgIRHk4FZatfV4nqzXym7KPjs/ie8eB22D2+jf3MWVaTjxOdLz7L0tmSDPz/x4SxMRMQGrGaTknlYiaszS4kvNfFT90eCU8+LaEOx8Xyda4ZolCDKS8drQLfGC03Ei7ChF3OW+4IQi27whCBIAtzQ0giS6clFOx3OuNx/cPtHuZFfIkl2MPru+tRBBpgpy+bi4DKLbLZa3x7zUo4dcP+fJXJk4oxXYw83+x3L/4857oAW598a9GZ1MOlJ5fkb8l0RJg5T+0dgwI0Y9KniIiSQZmIzjxWhUsuX3QmI4UL0CgT6iTf0lOaUFyYuTOKfYGCQECYBrXAkyGoO02vTKSYpVmVRiTHVKE1tkyUUCsOr9lRgukyDZv9cPH1wtRUFyka6ibe5kFebI5X56ivXQe9dt/nUyp9uh1AgyODVNaTEejeO8bqffC5lE2fxVln31e6GNctQIMsg3hTV5ZlqQ3Jvd4UwSPwQJwGbhRpBsOqtFfrXlagxSdF6a4UR9Gk1jRI3hsgmSc+F8oHszRn4nfYww2ik6VZP67aNrGIbMWt0hsE6E8hHkuOclhRykIP3eUSC/o0x59b3cdRpaQfK3gCAB2HScbZi8ur/4ane+o0k6fIAVXD7KuUd1W0dXglTTniUJ8uB6kVGQrAgy2j6a3+eEvcOxKYK0r+4gf5d4QYoRpFmQ8mUJQZrnDRmBIAHYCgoLcvA3UxFky+Es1iQfqAhPmcXjMoKsTJDyO6mPva7xiEJJFkRGduQGHc0RZKXVkIo27I/6R2NuRoySYk0TpHhZWpB5i/0hSAC2gmKCzG7HlssyDyang+uFODwWLQ0ji8qFIOVQVdo2mYz58gpSDYv1s0wjJEGyiTmCLFvtHYMgdZN04mlNzt2Ztbpjp9VOsqnhkZ8/xQpBAgBSKSDIqK4jox1bTusgD64Xz4/z+aM8PUeYwhPPWXUhSGGwk7g7n6KU5spmFCS1tI0q/p1We6d16L1H2dS4CFIKGR9uuIV14noPSpBEppr/XmTlSRG8fmiYgGM+yn6X9ClWdqhJgixqOAgSALfkF2T/z4p8pU5kdblQgDay4UsVWWWFE0G2uHqM59vjSCq8nrmxz/mAV46VIDnIKaO6McIfXz5M68ztvQmHNAuamwYg2XqtTgWZtbqD+l3SC5KdU6Ugg1OqXIRdxEaQLbkm0qoOUlNGibXXASgKFivfFLTpTQFTyebDjTAxJyMpxaBSMtkBBao7EghBxkZca0MRpBechuMw5HUilfCLbgMAfE4gyE3BTpBEEWfM7utdfkHa1Mk4rYMsVN2RsBZkcBr2/UiK/LBlZ5Rbct0OcpUAfG4gyE3BVpBlBHPEqj0JLFld92ZYAABQNRAkj7zIqraSsgTsBdlyvMWxPIwKAACgBUECAAAAJBAkAAAAQABBAgAAAAQQJAAAAEBQfCWd+FX1YuUAAABAibiKIH/+tnYkBAkAAGDzcZZi/Xrxb7X69+tb+pkQJAAAgM3HrSCtFi6HIAEAAGw+jgT57eJ+tbq/+G5zMgQJAABg8ykoyJ+/MUkHAADANuIqxfr91/0KY5AAAAC2Bod1kD9/r1arPz9Tz4QgAQAAbD4QJAAAAEDgTpDW83QgSAAAAJsPFgoAAAAACPIL8uvFP3GlOasajxYECQAAoAlgsXIAAACAAIIEAAAACCBIAAAAgACCBAAAAAggSAAAAIAAggQAAAAItkCQu693++9nuyU97cH14vn2uPpWcv4tltdBvS0JAADNYgsEufe23H/7Ibz5cLP/sfzyUPjiB9eL55en+Un9P6diBJePT88vT2mOJFoSAAA+LW4E2f8TrRZQ7YbJh977cv9jjf96yA65EWRwtaSlcjx/eXqOSfQZ2ZQkOkc5YXEZrC87uCU+GN+d3ZFX9eD26fllPuAf7GSuu3h8vvxmaksCAMCnxYUgB3/j5XQqFOSPLx/L/fez3dah96506C4EGVw+Pj0/Xh1I70cS4pKug1vVOvRnD64XnNJYVKeEp+RnYyVz74uCVK8WXD6K+tR9I2NLAgDAp6W4INkmHv0/VQpy9/Vu/+POO29H/bvsQgeCPJlr7SXFbQQ2gmS3UCJUvSAfF0vukXhB2qaCiS+V0pIAAPBpKSrIxIvVCnLvbcm69fMzn/XvHLEgd1/v4rThzV6mWwxuqWCrXkHeXl0+roNXTpCRPtWnVYmuw885SmnJVltOwBKDlMHV0vYBAACgMRQT5ODvarX6PdhpVS3ISIH7H3feg1aQXG+eZBFtr6+KhMFGClNkYCPIKGuqutYgyOPWyTwZR1wLkhYtjTpyaW7JVnvvjXszOllyZDy2qhngBACAZlJEkMIOyRULssVZUJNi5ftxLpEYD9fpptK02iwk0mUsudk0OiUYBMndka4eMQqyfTyPXZioLttUW06xNi0pc+i9q39qIIIEAGwj+QUpGbF6QbbaOy0+icp17uoYZLZRSXoAUoDTpGUUyEeQmvky2kPriDa5iEaQ/AxbKhWs/Wp0SyrsvWWLxQEAoKnkFeS3i/s4uRpRkyBZ6d75mc8PNKo6PD/z3QoyggWFss8sUqzaIDVFkMkHzSlWoggk5avRLRk3HV8EAkECAD4FOQUp7ZYsvlI06VKQ68qEKABiCjRGkEVTrCLktB3rMg/dPCCDIOMJRJeJAqMMp5iwNQqSygxrWjKyI5esRgQJAPgsOFtJp54IUurW4+kkiiD33rJNZNVO0lEgfZZhFmuGOsjkeYKr5ctiyYlZXQRAJ0itOOmWFGSZtCQ9BolJOgCA7aKZgjz03iPbxaV7UqAjCfLhJuvqMLpyjuO5qK4oxWpXqqEIki7PsBDkOgjWzonViDDgC0WsWzJuurjeQxZksoJP8xetBQCAhGYKss0qN7Sro0lrp5HlfWZ0Y3UsWjJPZLUUpDC/Jn2pOV4/zEnC1eQrqLoiv5S5JaPge32IXNA8FjYECQDYIpq9WPnDTeYVAKwxTDRtKKZvVLAlNZE0AAA0mEYLcvf1rjxB0pNfmsvB9UI/TFiwJe2X8gEAgMbQaEGWzvYERllW28kCK7vchiYCAAARCDIFu62GN5zg8hEOAwCAbECQYNvwgq5X9zMAALYACBI0Fa8fTmenHfl9/2g8mY572Rzp98LZZIg6TgAABwTZSA6uF5rZQ2QZRvrVmpiA7YwIpXn9cDrudfo9RZxG/F5IuBY0AK8fTkfd2h+j3hYI+37tj7GVQJAFWW+vURnG7TvYkqr8m2kLtbMqxrodaY781KPdYaw0zpTd4Sw88nda7e7QGER6/VCQqyLIzmhSR7fbHc4mU/YVtuO+5X4jrx9O5dA/uiNjQ7ICndGEynY4wT8aT6azCRxZBoW3uxJe/359S/8gBFmI4GpJ3lFaG4Gr97fZyURdrK5qzElO/qjfC6Pub3Q6jDvBTr/nSTGlMSiU07OUIId9P/tYZq4E75q6BBl1srnuG/84ND+7Ale2u7VWDMFp5YLU/vQdCNLYzp1RLb82209RQd5ffM/6QQiyAJpi/2RH6PWSqmvstvqqeWGEzsjkFfWoml+V3umMJsN+L5zRl5WzUqQg8/StBQVZF5HGsvbg3eFsMh33OkQYV/DKLpp6ewRp3c7N+8XbdCDIglQrSHoBPG558XhJVf4E270wrTf5KoHu0JQjUo+y/GqSCI181hkJubVOv+dpYjIIknjsbD24fzRmTUTlOYtc2Y5U/22JIC3buZbvu/00UpD0IJzUv4uLpgonB1fLl8VlEO/mmHknCn5TYmH0TlkiXNrHcXEZsM/OT+S9JKNNrA74iyvTcOJzpOfZe4vXmz0/89WFZ2NBclsi04vm6PcwiRqztPhSMx9VfzQ45by47kHY+X76YEwBQbIhn6no3ajzoogv6/fCWXjk82fy2jaNnMUBNHeOND6apJ3LGH7ztYE4/93z3C7tygbMKQf2S0I/Fd/Uwl9Ouds59acfC3L9y5NjyDCtnbtD9YFBMRopSLIrF+UkbLsRreJNuJNdIUt2UV5/ToggUwW5fFxcBtHtFsvbY17qyVLj7DmJtW+0Anu4YWuyP2gFub/eoyPJxyrX0W2GFf8lUdIgpX80NvzHVo8KLmHdkNBzhUc+G5VMtCReU70CAdWFsWSXlzzbSOqj9RHkeui0azqT6taTyJi9L50jDMW5H/OLe3/tNXMLMvXKeixkQAtS+KDXD/m7F25ncwSpv3KW5jJ8qsypQJ8Uh5N0rGbotBylWJVJJcZUpzSxRVlk1bhOqXJfQaWZBMn+vX54bmdm2eKqto3bOCcW1KRY+amtwt6ZArrtlEuNIINTUxdpPBrHed1OvxeyXo/NX2XZV78X2gQoagQZUJ2veVZIeyddkFyfLvXO3PelBcm9KfTycrfoPNW2gRGkTd2qtiX5H7Tw51fhdk4RpHRl0bUE0sOnt7P5vxLIjqsyj++/7ler1er3IP1kN2OQovPSDCfq02gaI2oMl02QnAvnA92bMfI76WOEXBJV3g5TsKZ2VLKGYcis1R0C60QoH0GOe15SyEEK0u8dBfI7ypRX3yM6GhZ66h2ZIsh0i1h169UKMo38gsyNzXckziHiTj5VW7id7ccg86RD7QSJYUiXuKuD/HZxv1qt/vxMPdPRJB0+wFL2AW7z44vySGFBQappz5IEKe8fmW4vVgQZbXqcDDSqOjw/8zdFkPbVHeTvEi9IMYI0C1K+LCFI3bwhegxSOFqtIKnUX6V5toYJMn2kMHc7Q5DbhsOFAn7+Xq1W9xdf0850Nos1yQcqwlNm8biMICsTpPxO6mOvazyiUJIpMGMEWWk1pHnUxHhUSEwNlRRrmiDFy9KCNGar6Lq0OgQZnNLTgqqiBkHmTLGmaKlwO+cTJFKsm4vjCNJmzo67Mg8mp4PrhTg8Fi0NI4vKhSDlUFXaD4uM+fIKUg2L9bNMIyRBxqOMig733jQTWXWTdOJpTc7dmbW6Y6fVTswUHvn5U6wOBNkmhySrF6R5ipMLuAYnTyg6BlnhJJ30cttC7VxzBIlJOs5xJMgov2oRPrac1kEeXC+eH+dzZS8nYQpPPGfVhSCFwU7i7nyKUporm1GQ1NI2qvh3Wu2d1qH3HtkuLoKMUqzJrBxJkA83wjo78vVJAUemd719ND1Lxe4o+13Sp1jZIbeCjMtLDE+o7cUqG4N0ThI5aTr0/IJMu7Iei0wymW9Upkq5bWddU1QiyPL/VPp8FBDk4C8/h9W+3sPlQgHayIYvVWSVFU4E2eLqMZ5vj9WtFrmxz/mAV46VIDnIKaO6McIfXz4068y12soqdOT8VcPF2zvJeq1OBZm1uoP6XdILkp3jOoIUK95of4vn8HWQKVXeCuz6ad0rMbTmNOEZ5wDFH4em+C/zagO5BKkfbzO2JNlcSQ7ASTuTP/0igrRtZwxAlgAWK98UtOlNAVPJ5sONbgUAG1KKQaVksgMKVHckEIKMjbjuVhRBesFpOA6Fim+pPNzovw0jemxlpfUSSiHLWA67wJUrXrSoinYuQEOXcNp0IMhNwU6QRBFnzO7rXX5B2tTJOK2DLFTdkbAWZHAa9n21t+2Mcvdf3U4j/hincoauZ81IyyM4pNiVjfnSBrZzfmzGI0AOIMhNwVaQZQRzxKo9CSxZXfdmWECHEtmwmS9ORiVT6z5rvnJ5oW217VyM4LSqRvh0QJA88iKr2krKErAXZMvxFsfyMCpoGkqdwGeaqVHhdsGb2c7+0Rh2LAsIEgAAACCAIAEAAAACCBIAAAAggCABAAAAguKCZPt42O94BUECAADYfIoJMlpMx2IHDx4IEgAAwOZTdMNk+xXmEiBIAAAAm09+QX69+Lda/e1n/yAECQAAYPPJLcjvv+4zJ1cjIEgAAACbT1FBfr34t97Rw86XECQAAIDNJ7cgf/6WdrmynrADQQIAANh8iglS1GH/z8pmVBKCBAAAsPm4HIO0nLYDQQIAANh8XM5i7f9Zre4vvqZ9EIIEAACw+RSog/x2cc9nWQd/V6vV70H6ByFIAAAAm0/BpebYVB37deZaECQAAIAmgMXKAQAAAAIIEgAAACCAIAEAAAACCBIAAAAggCABAAAAAggSAAAAINgCQe6+3u2/n+2W9LQH14vn2+PqW8n5t1heB/W2JAAANIstEOTe23L/7Ucpj3pwvXh+eZqfVNk+x/OXp+eXxWXg8JrB5ePT88tTmiNLbEkAAGgcRXfzUF+pi+k4E+Sh977c/1jjvx46bZ3gapkuFZXg8vHp+fHqIOd9yxDkTqu9M7jVX7bslgQAgAbiMoKsdDePH18+lvvvZ7utQ++9lA49t+cKCrI8NA9WeksCAEAjcSfIbxf3/PaQelwIcvf1bv/jzjtvR/37lwfnTXMyz5tc3VhBkl+q/JYEAIBm4kyQ/T+2y7G6EOTe25J16+dnPuvfVYTMYbauf3BrkBwb0nsWc6HRgCXFfBB9MLhaviwuA/5MPucZJVcZkpvj5+HOkaYOBVdL5daK4I/n8gctWlJMwBKDlNGtN/NvAgAAyIsrQRL7J+twkmJ9uNn/WO5/3HkPmm79/MxnmUP2zt7bzZ719VWRiIfWMggubyUx6CPIxGHsypozqeB1cCs6TzpHGC6N/E0PNw5uOWFbteTeG/dmdLLkyNj37sdNAQCgRtwI8uvFv+p382A9OxkdHnrvS13FAh//aeKt4Gqpy6+mz9xJEyTn3YPrBeEVvSC5NwWFy9oz5IdP5uodTS1p07CIIAEA24gTQWYIH1uOyzx2X++Izv38zC80FdM0AMmSnHpHpggyfVxTK0g+8isiSPIQ3ZIKe2/avzwAAGCrcCDITOFjy7EgWelelFD9iJOoDzeZBx0FUmbo0GOQwtFqBUmlWIU8qsVXo1uyFSereSBIAMBnoLggf/5erVb3F1+tP+JSkOvKhCgAYlI0RpDFUqw88ZiieGYdgjyZ09OC6ItTg4WmluQHHRFBAgA+C0UF+fXin83iADwlCjKZTvLjCz3f0hbDJB0RYkiyekEGl492T0tN0jG2pCDLVnuHFiT7QwGTdAAAW0VBQWYOH1tOBHnovUc5wLh0Twl01PmWmWax6rOUJ/PUWTbaBeoqG4M0fy9epWkt+XDDLawT13vIgkzi1+YvWgsAAAmFBJkjfGw5XUnHvDqaOHiWcUhSPwwp1jvSYZN4Dl8HqReknCYVrp+SYhVrKDVFkJovldKSe2/CIXJB8zhrDUECALaIZi9W/nAjTCdxygYviCMT2VGIIKmVV03fqGBLRn8QZF+3FgAANpdGC3L39a48QRJlixsK9ZxqmpeuuXTTktLiCQAAsA00WpCl05DASIkg2awZuTKyhC+SWhUKAABNBYJMwW6r4dpRaleEgDK4fITDAAAgGxAk2Da8oOvV/QwAgC0AggRNxeuH09lpR37fPxpPpuNeNkf6vXA2GaKOEwDAAUE2koPrhWb2EFmGkX61JiZgOyNCaV4/nI57nX5PEacRvxcSrgUNwOuH01G39seotwXCvl/7Y2wlEGRBjueVT1HRLkTQ3kmWVM1yQTZ+WbcjzZGferQ7jJXGmbI7nIVH/k6r3R0ag0ivHwpyVQTZGU3q6Ha7w9lkyr7Cdty33G/k9cOpHPpHd2RsSFagM5pQ2Q4n+EfjyXQ2gSPLwMVKOvHLcsUACLIQuv22xG2Ns25mQtVNVos5yckf9Xth1P2NTodxJ9jp9zwppjQGhXJ6lhLksO9nH8vMleBdU5cgo042133jH4fmZ1fgyna31oohOK1ckNqfvgNBGtu5M6rl12b7KSDIbxf3vBQHf1er1f3F99QPQpAF0BT7//jCVoBbL6nq6MpV0RmZvKIeVfOr0jud0WTY74Uz+rJyVooUZJ6+taAg6yLSWNYevDucTabjXocI4wpe2UVTb48grdu5eb94m05+Qfb/SKuwfv91b7UuKwSZH3oBPG558XhJVXcXr4bu0JQjUo+y/GqSCI181hkJubVOv+dpYjIIknjsbD24fzRmTUTlOYtc2Y5U/22JIC3buZbvu/0UE+Tqb3/9TnWCpAfhpP493ouKWJg0uFq+LC4DfsXUTNlFeeHTRJCmFVPZTdln5yfx3eOgbXAb/Zu7uDINJz5Hep69tyUT5PmZv97SRELIwZIS1e9hEjVmafGlZj6q/mhwynlx3YOw8/30wZgCgmRDPlPRu1HnRRFf1u+Fs/DI58/ktW0aOYsDaO4caXw0STuXMfzmawNx/rvnuV3alQ2YUw7sl4R+Kr6phb+ccrdz6k8/FuT6lyfHkGFaO3eH6gODYuQXZLRS+TqnWmmKlejKRTkdz7nefHBLbPfIGShLdlFe102IIFMFuXxcXAbR7RbL22Ne6tFDrp+TWPtGK7Bo65KPO+9BI8ho3XZudiu9t4luV5D4L4mSBin9o7HhP7Z6VHAJ64aEnis88tmoZKIl8ZrqFQioLowlu7zk2UZSH62PINdDp13TmVS3nkTG7H3pHGEozv2YX9z7a6+ZW5CpV9ZjIQNakMIHvX7I371wO5sjSP2VszSX4VNlTgX6pBSZpPP91/2KSfHbxb31vldOUqzKpBJjqlOa2KIsXmpcp1S5r6DSTIJk/14/PLe/h2xxVdvGzUCYI8no8NB7t9zlWLedcqkRZHBq6iKNR+M4r9vp90LW67H5qyz76vdCmwBFjSADqvM1zwpp76QLkuvTpd6Z+760ILk3hV5e7hadp9o2MIK0qVvVtiT/gxb+/CrczimClK4supZAevj0djb/VwLZcbNh8mq1Wv35afkRN2OQovPSDCfq03JfRs11xBgumyA5F84Hujdj5HfSxwij/Y1lTZ6f+baTWmsYhsxa3SGwToTyEeS45yWFHKQg/d5RIL+jTHn1PaKjYaGn3pEpgky3iFW3Xq0g08gvyNzYfEfiHCLu5FO1hdvZfgwyTzrUTpAYhnRJEUHyuyWzaNKm0sPRJB0+wFL2AZZ3ZBTr/IoJUk17liTIg+tFRkGyIki2EWacRH24sd4Os3pB2ld3kL9LvCDFCNIsSPmyhCB184boMUjhaLWCpFJ/lebZGibI9JHC3O0MQW4buQWpTsmJHMlP26FxNos1yQcqwlNm8biMICsTpPxO6mOvazyiUJJJMWMEWWk1pHnUxHhUSEwNlRRrmiDFy9KCNGar6Lq0OgQZnNLTgqqiBkHmTLGmaKlwO+cTJFKsm0tuQfLhY0TlgozldHC9EIfHoqVhZFG5EKQcqkr7YZExX15BqmGxfpZphCTIZLbOjy8fdsvr6CbpxNOanLsza3XHTqudmCk88vOnWB0Isk0OSVYvSPMUJxdwDU6eUHQMssJJOunltoXaueYIEpN0nFOwzGM9bZUNRlqMRDqsgzy4Xjw/zufKXk7CFJ54zqoLQQqDncTd+RSlNFc2oyCppW1U8e+02jutQ+89yqbGRZBRipU3YjSFh3uHnMVKZKr570VWnhSBnqVid5T9LulTrOyQW0HG5SWGJ9T2YpWNQToniZw0HXp+QSXrv+IAAAGeSURBVKZdWY9FJpnMNypTpdy2s64pKhFk+X8qfT4KTdKJHJm8bGo8Wm4XCtBGNnypIquscCLIFleP8Xx7rG61yI19zge8cqwEyUFOGdWNEf748pG2zhwbmDTUQZoGIOP9Jl0KMmt1B/W7pBckO8d1BClWvNH+Fs/h6yBTqrwV2PXTuldiaM1pwjPOAYo/Dk3xX+bVBnIJUj/eZmxJsrmSHICTdiZ/+kUEadvOGIAsASxWvilo05sCppLNh5v1xJzspBSDSslkBxSo7kggBBkbcd2tKIL0gtNwHAoV31J5uNF/G0b02MpK6yWUQpaxHHaBK1e8aFEV7VyAhi7htOlAkJuCnSCJIs6Y3de7/IK0qZNxWgdZqLojYS3I4DTs+2pv2xnl7r+6nUb8MU7lDF3PmpGWR3BIsSsb86UNbOf82IxHgBxAkJuCrSDLCOaIVXsSWLK67s2wgA4lsmEzX5yMSqbWfdZ85fJC22rbuRjBaVWN8OmAIHnkRVa1lZQlYC/IluMtjuVhVNA0lDqBzzRTo8Ltgjeznf2jMexYFv8D6XgZ6borqBcAAAAASUVORK5CYII=" alt="" />

文章转自:http://www.4wei.cn/archives/1001310

PHP大小写是否敏感问题的更多相关文章

  1. 将现有MySQL数据库改为大小写不敏感

    用过MySQL的应该都会注意到,默认情况下,Linux下安装的MySQL是大小写敏感的,也就是说Table1和table1可以同时存在.而Windows下的MySQL却是大小写不敏感的,所有表名和数据 ...

  2. MySQL查询大小写是否敏感问题分析

    mysql数据库在做查询时候,有时候是英文字母大小写敏感的,有时候又不是的,主要是由mysql的字符校验规则的设置决定的,通常默认是不支持的大小写字母敏感的.  1. 什么是字符集和校验规则? 字符集 ...

  3. Python正则匹配字母大小写不敏感在读xml中的应用

    需要解决的问题:要匹配字符串,字符串中字母的大小写不确定,如何匹配? 问题出现之前是使用字符串比较的方式,比如要匹配'abc',则用语句: if s == 'abc':#s为需要匹配的字符串 prin ...

  4. SQL 对大小写不敏感!

    一定要记住,SQL 对大小写不敏感!

  5. PHP大小写是否敏感问题的汇总

      一.大小写敏感1. 变量名区分大小写view sourceprint?     <?php    $abc = 'abcd';    echo $abc; //输出 'abcd'     e ...

  6. mysql数据库如何设置表名大小写不敏感?

    转自:https://blog.csdn.net/iefreer/article/details/8313839 在跨平台的程序设计中要注意到mysql的一些系统变量在windows和linux上的缺 ...

  7. 设置mysql表名大小写不敏感

    在跨平台的程序设计中要注意到mysql的一些系统变量在windows和linux上的缺省值是不同的, 比如mysql表名称的大小写变量. 在windows上lower_case_table_names ...

  8. Linux环境下修改MySQL数据库对表名大小写不敏感

    Linux系统中MySQL对数据库名称和表名是大小写敏感的,这就导致了一些麻烦,虽然已经建立了表和数据,但因为大小写导致无法找到表. MySQL数据库对表名大小写不敏感的设置方法如下: 1.查看MyS ...

  9. mysql 大小写不敏感

    lower-case-table-names=1 变量lower-case-table-names的取值 取值范围有三个,分别是0.1.2. 1. 设置成0:表名按你写的SQL大小写存储,大写就大写小 ...

随机推荐

  1. centos7重启网卡

    systemctl restart network

  2. 使用 JavaScript 实现对 PDF 的全文索引

    Mozilla实验室最近已经收到了许多为一个项目做出的尝试,这一项目的野心令人印象深刻:在一个浏览器中仅仅使用Javascript来对PDF进行渲染.PDF文档的结构令人难以置信的复杂,因此要祝pdf ...

  3. 每日英语:Best Ways to Ramp Up to A Marathon

    For the record number of American runners who completed an official race event last year, the questi ...

  4. 有趣的switch应用(填入种类,显示响应的价格)

    <!doctype html> <html lang="en"> <head> <meta charset="UTF-8&quo ...

  5. https编程遇到PKIX:unable to find valid certification path to requested target 的问题

    https编程遇到PKIX:unable to find valid certification path to requested target 的问题 2016-12-01 解决方案见:解决PKI ...

  6. mongodb常见管理命令

    ----------1.复制数据库 wind:PRIMARY> show dbs; jinri 0.078GB local 1.078GB test 0.078GB wind 0.078GB w ...

  7. 在shell 中字符串,文件,数字的比较

    hadoop fs -test -e /path/exist ] ;then echo 'exist' else echo 'Error! path is not exist' fi 在shell中如 ...

  8. pku oj overhang叠加卡片求最少的卡片数

    这个估计是里面第二简单的了,因为第一简单的是求a+b 哈哈,一submit就ac了 题目如下: Description How far can you make a stack of cards ov ...

  9. 用SNMP实现对大型网络的轻松管理!

     原文来自:http://guojiping.blog.51cto.com/5635432/985885 一.原理介绍: SNMP简介   目前网络中用得最广泛的网络管理协议是SNMP(Simple ...

  10. Hive shell 命令

    Hive shell 命令. 连接 hive shell 直接输入 hive 1.显示表 hive> show tables; OK test Time taken: 0.17 seconds, ...