功能介绍:

首先是进行无字段的聚合,然后依次对每个字段进行聚合

创建表:

 

插入测试数据:

ROLLUP:

Select t.classid,t.studentname,Sum(t.score) From Score t Group By Rollup(t.classid,t.studentname); 

查询结果:

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

Cube:

Select t.classid,t.studentname,Sum(t.score) From Score t Group By Cube(t.classid,t.studentname); 

查询结果:

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" alt="" />

相对于collup,多个如图的8行记录:

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAWEAAAGPCAIAAAAC0/ZyAAAgAElEQVR4nO2du47kLLeGuaeSRr+4lU4m8m38lU3KJXzqdLSjLTkuqfO5AcLvBibfATvwgdPiYIyh2ryvXo2qbVzjWr14GjAF7Pf//C8Mw3DITEEQBIXFlFLP5/Pku5x/h776+/dvfuHv/mHfUIh/G5XFmf39+3f54e8JnX+H7sq8/3/++ecGH/YNhfi30dE4gxFayNG+Qvzb6J0Y8efXD7bp5+/t6O+f7MevP/SbLFfossY1xDvFTu3/i3meMcbC//mpHA3fhq/9xvxbybxt8m2X//b3TyKC4be17idy4SrqF7S8p3PlUjDyn/q/5Ivinwxy5M63n3/+jobOfffgh6RrRPw66v/V/20otttdU3obRvz+6X6U9ZYjjPjz68ePnz+dD/fn1w8HMfv1kVNmHvhZTt9AaY5GbuOvcdA5lkzfyG1HYrgmjVeNk/97zoXkL4i6cK0MERoSuiD+WSAO3/lSxv+rFEngcCYEa4T7203+rvNqk3/nq96EET7Ggtmv9efXjx+//riXeuX1gZxTxH8XYmxpjkZuI3LoGCPs245nxo9fv356f4tyGJG6MPwLcsDx59cP9vNn+jdu64L4p4McvfP1Ewcu9xW5k0iNsHnx1zlC/Xf6zRKtcvLcezAi1tIJfqrtxJ9fP8wS5J/lnFPhBA3c3okcTVaCCozIy4z1lJ122YyIXhj+Bf349dsM6ZKcGX8VbF0Q/4wgx+6cTJREI44+l6gRZM8j/LvOY0To5HswgvrUf/U58lMZx/0WbqgXFzwVT1D6Hsr7w7F+Zuh/PM6I+LAC0YDa7+UAI8IXhn5Byw9GJVj/fuXcraUL4p8T5PCd0xU7Wi1DdxKpEQ5y3YPJvkYktnXy/G0YQf7F8suEEsw91ZYR6TuszoiM5m7sb1H0CHlh8Be0vt4r1NbEbdaOsD8EnQbkJ03dOX3jeR/HuZNTjIgANn4z9P/6How43tcgInGkaeadatnXyLnDPEbE25BH+hr6Rqw/6bn3418Y/gU5f3X3XnAPRui7PxLG0J2fYYRzJ/X6GnZ/Jn4z9P/6Hozwby7adiIO7jHyi+9vFTkVTdDKY5ax2wh/QPIuosl9YMzyj/kj+/Hr11FGeBeGf0H61J9fP9jPX/tAWStGxOKfGeTAnR9lxKE7MZLEh4Tdm/B/U5FeZKik1pswgsBdJL+p1tZ+vf1GblWJnKIT9IJnn5HbMD8O9am9PmuokXzk2ad9yn2YF3qH2IWpX9B6zp5a0KwdEYt/ZpDpOz88HhHNhGCNOPzs08ZLnBHE2bdhxN/IHCqnc/XrJ1Vrjd+u+Ub042zqfwl058IhPdHWjdyhcz/+ZyRvLX7bRMOfBdtdJBaz+j7bhW7qG2d//jYvtFgS/hUEgnRR/KNBjt953nMNq1Q0EwrnUJHdpf3XHY5tACDvxIjvpn+ydYMP+4Z6w/iHphh8C4Vu/micwYgSDfVh31AN4/87NFvx7VXhzsGIcg31Yd9QLeMfeyLxvqpz12BEuYb6sG8oxL+NNCOeEARBlFZGqBoL+zDG1DB+vV7d72Fkv16vk+kK5WiPs+5r/HtCYATcNP7Q9QIjzuVo73u4pZM9ZB1/6HoVMuLr+WAfn2BE93u4pcGIw5KCb1Onptk7Yx4iShqHGGOMC2m9w2FGfH5sbwVGgBHXGIw4qHnaK7wUfKvk8+RjgywpBXe5YArtiHKDERcZjDgkAwuKbjeYDQaipBTcaXxYAiPKDUZcZDDihIyWglLKZwZRcp4CJRaBEeUGIy7yAgIWfqHjD9mSgjsjEiFGGCXniXHOvX7JJjCi3GDERUY7olDz5I840owwS5o9ELs3sgiMKDcYcZHBiAJJwX1AKIoRoZKL5sk9B0aUG4y4yGDEUUWqvcOIOCAUGFHXYET/+EOK7mLsshgR6ozsJagCYMS5HO19DyMbjFik50FQs6BMRoRKGpOoCNZgLva5HO19DyMbjGgjMOJcjva+h5ENRrQRGHEuR3vfw8gGI9oIjDiXo73vYWSDEW2kGVFlvRrG2AuCoHtpZYSqtA7Vf5/PQfx6vZhSMTOWKBAvk3P5wE7HH64U57V2O32N//vPf2AYHtlgBAzDMYMRMAzHnMsI+8HF58e+ANXX88Eezy/3uUb3YYL+4xH7OIL/IuKyq+7o5Pc19tztfqtv7JkxxmbFlGJSMMaZVGyeGJvWAvPEuLAumdhS7BQjbCwQE7LBCKYClTxZ4cGIzWBEBQtuIEAyvvFitxSaF0t5ISowItimACN2R7iQ+SMYAUZUttGm2G1CRArGBVNzZUZ8PR/+urejMyJOgUgBkixjMyKyDtWeu91v9XtYcKvJIMXy9S0mlyOS8eV1XUZ8fjBvMGJ0RiSJEDkCRhhGO6Km58nAgeF9kEJwJiRTqiYjvp4PEhCjM8J3ZiXPaVyMZDCimgWnAbF4YkzMzNpcgzHGzjIiAggwwnX+4wyyJBgBRpxxHBDLQObaglhcpR0R6GKAEbTzn2WQhUdlRKbBiJjJLoY5MEEUqMEIvUnXJgcYYITleCXPH9GEKYMRMXtLTq1NBmPJKa+JUfu5BtoRsRzdFSkQ+QUnL4fBiMsMRjRhBHy9Ef+LDEaAETcx4n+RwQgw4iZG/C9ykBHOilJ7OaxDBUFDaa/7+5GVEcpeh2ovl158yhDrvcZhS79S6ykyxrIiVnrt4ErGHyqTU/df1fsa3asuGDGIwIiLBEa8BSO8h9fMLDw4IJLzLJdiYMRFOsuIr+cjMH8KjHBV1o4YHBAKjKglY4u+bTc/4xBjzs59+65/5xhhLhnx+eFTAoxQRiX3XzjF/EZE/JJBBEbU0DztaJCC6509iR099T6gFRjhtiiI9SO6V903ZIQ6XufBCDDijDQWtp+meXmxbyJOXVKXEdRylmBEjAv+j+RghF9yNIERtbW3KeaJtWHEOiaB8Qg3R5NVPUQQDFiaWkDAwutQLcXAiExJwbduxzwxzrchCYcW9dsRoXWxu1fdXozIGX1McgGwUGhH1NU86bFJswdi90bUJYygRi1HZoSveCWP9DVyLr+xwIhakoI7Dy9MzZN17gpGEA0JMMLUmUo+LCAUGFFJcUCoixhhrYVNrUkFRphKtiNCJUcGRL7AiJjMLsYmY2CCKFCtHYE5VLUYsRcITZGA4gIjIpq9daj2CRL2Aa1LxiN8gRFrNMOjDE4BtCCKBUZcJDCiBSOgBkL8LxIYAUbcRIj/RQIjwIibCPG/SEFGYB0qCIJeDdah6r7M5ButZ8lYokDFq8ZzOv5wkbHm7XswwlfOVbBhMOIigxHvwYhIyeEZkZxnuedu91u9pWsxglphBoxwnFnbnWJgBBhRxeS2febkqpk+WIcRnx/BeZbdq25/RuyV3H8RKRw5MpjBiAqeJ2v7Xy6YUkzNGg26gHuwAiO+no/H84l2xAFGqHDN98s4wxPjGYyobClWHOwvlNp3APYPnmbE1/PxeH6hrxFiRIQLZM03xyz9f4c0GFHZgq/tCN2gUExJxhmbiYMnGbESAuMRNCOSUPALhDomwzOChdeh2nO3+62+u6WwxiMEZ9Osz06MCekfPMWInRBgBMGInJEFEwQOCw6NYtzaaEdUthQrJhowQn8vfJO/xkz3qtuNEb5zKrnfagAjwIjqXnDQpK+xC+2Iqow4etWtDUbUtmScMSFbjVmCEWDEexiMiFlw69nnOiTR6tknGAFGvIPBiIT7zqEKCYxYvSvyK/TL5FwFbwYjLjIY0YQR8PVG/C8yGAFG3MSI/0UGI8CImxjxv8hBRmAdKgiCXg3Woeq+zGQzv1LrKTLGjoUOOqJk/KEyYc3bd2GEO2XVU41f950FRlwkMOJdGBEqAzok51kuxcCIi3SSEV/2Vzaw32dMkdqebESM3JQAI+rI2Ldv2+TTPOjuB7wfPc8IYnolGGFqr9v+CyhHYEQNzdOOBin4SgTjYPjleUZs+4aDEdmMUAFMoAVBCow4L42F7adpdo7O0/LaLqpO9zU+PxgYEWNEhAvxoYckUMYRGFFbuqGwgUHvEq4PbTrPiMdjG5LwaTE4Iw5BQaEdEdACAhZeh2opBkZkSgpujkisX+DaDizNCLF9q2uaTzLi6/nYxynN12BE3hOKCETQjtiFdkRNzZMxPKlbD3vbYhmuNEcuaj779L8fPjIjfCWrOtoRpMCIWpKCW88v5sloT2ydDLuvMU9nxyzBiJqMKC58b4ERVeQCwhudXOFgtC3UeUZ8PR96FOLzA/Mj4r+keLWPNCLQlMgRGBGT1cXYZEJCvzaOVulrGJOo6HWoulfd78KIM4UhBUZEZa4stWilgHHC7nbUGrNMCYxYo5lqCyQbEWhKJAVGXCQwogUjoAZC/C8SGAFG3ESI/0UCI8CImwjxv0hBRmAdKgiCXg3Woeq+zOQbrWfJWLpAeLgSjjsdf7jIWPP2zRhRdiEMRlxmMAKMeHcn51nuudv9Vm/p84zQs6j8SVRghGX0NYoMRtSxFDqdZvuU4Gya9Y/GFCp2nhGfH/tsbOMlGGF6r+H+CzjDYEQNGzv9SqG3/DQmVK4lzbOCMy7OMYL6PjgY4ZpEAzCRbTCiggVnXGw/SsbtpoTZjrDaFDMzvq+xx/kII+jdwsEIwxEu+JhAX4MyGFHbRpticZARknF2ihFLM+L5saYxuQ5V96rbkxE5UAj9IsfmgukVBOF1qPbc7X6r38OCLwMN1hGyryEFY+cZsaMhsA5V96rbjRE5RAAjMox2RE3Pk0bA7tCYJZ/OtiOcvga5xkz3qtuNEb7jRMhR9wzrYTCimgUnAKE8Rmif7mv8+/V8GD0MMCLxG8qv5EvJUaHgGIyo4xAgVJgRUpweszQ7GOhr1GIEHn8UGYyImexi7DYZMU96tGJibJrPz6H63IYsMWZZaQ5VzkHYMxgRs7cOFRNSn3XaEcZOfgxzsRsxIjmgkAQBSJEyGHGRwYgmjICvN+J/kcEIMOImRvwvMhgBRtzEiP9FDjIC61BBEPRqsA5V92Um32c9S8ZYVsQOXgItSsYfKhPWvAUjbiIw4iKBEW/ECBIQwERynuVSDIy4SOcYoedPbbJnWoIRpuK1PdKCGBwTYEQdyX1qlLFtnzTmSzm7gW6bBFdtR3hf2AAjlFHD/RehMpECAwqMqKF52tGgN/01Dhov9QXVGUF+p6t71X1DRqhwnd+mUyqnfRa55PYCI87L3CF8+WmanaNrq2EvwYWo3Y6wvwMKRqxxDHMhp7EwLBdMgRG1pdsMOxg2bCilVkLI6n0Nctm6wRlxCAp7eyF+yYBaQMDC61AtxcCITEnBzW7FuqCMNUSx90QqMiKw+O3IjDjUTHB6E+5IMIWPcYR2RE3NkzE8abQetrbFTojKjCCWzR+eEb6OPvvMuWQEgRG1JAW3nl/MkzlMOU+Mi1k//NhUhRHB5bHBCFP5jMh5FDKOwIgqcgHhDmTag5bGgQqMiGyyAUaYOsOInMsHFxgRk9XF2GRCwgHGek0dRoT6GWCEq0xGhLgARsQFRkQ0e+tQrTwwTlizI9Zz1edQgREBZY47+o85wIV8gREXCYxowQiogRD/iwRGgBE3EeJ/kcAIMOImQvwvUpARWIcKgqBXg3Woui8z+UbrWTKWKFDlklGdjj9cZKx5C0bcxGDERQYj3oMR9hczsi4Zxsl5lnvudr/VW/o0I76ejzW16e90da+634YRZBkwAoyoZf1NDGPjT3Ny1UwfPMkIY5IlNd8SjGCKqv9+zQcjwgYjKtjc6Xeelo08mZo1GnQB9+A5Rlhf1SC+2QVGMBWo/yEWxNU91XoYjKhsKVYc7C+UYmpe2xfewbN9jR0M1DJUYEQeFxTaETGDEZUt+NqO0A0KxZRknLGZOFhhzHJdHDuwfkT3qtuTEckKn+yGgBEZ61Dtudv9Vt/dUljjEYKzadZnJ8aE9A+eZITResB4hJOjESL4R8CIsNGOqGwpVky0YMTnh4kFcl3s7lW3GyN8Ryp8aNABjAAjrvCCgwZ9DWd1GTAi8YuJM4IsA0aAEfUtGWdMyCZjliYkqOWowAjLBRUejMg2GBGz4Nazz3VIosGzz3+t7fz8UUswwjIYcaXBiIQ7zaFKCIxYXTzBAYzINhhxkcGIJoyArzfif5HBCDDiJkb8LzIYAUbcxIj/RQ4yAutQQRD0arAOVfdlJpv5lVpPkTF2LHTQESXjD5UJa96+BSPsaZZEYSAjKTDiIoERb8EIv4xZeHBAJOdZLsXAiIt0mhF6DhXxxU8wwlQZIwYHhAIjaknqSVTbtn3S3iXc2zF4mtVZRhjzr8mdgcEIlVftQ30NAEKBEXU0Tzsa9Pa/UnBvo2BzD9DzjLDXlaHXoepedd+QESpjuAF02AVGnJe9K/jeRJCCezsBK7dQRUYQK1GBEZlccF6HdCwv7iIworb2NsU8+buFb6rf11gWyPa/G9696nZkRH5j4dCp0bSAgIXXoVqKgRGZkoJv3Y55YpxvQxIOLSox4l9jzPLx8eGNSIzMiJzugwmC0LNPMALtiJqaJz02afZA7N6IqsmIUM9jeEb4wrPPMoERtSQFdx5emJon69wFjAisMdO96oIR311gRBXFAaGuYkRiCx4wwlIBI9DjyBcYEZPZxdhkDEwQBaq1I6Jb+YERlo4yIjnkCZkCIyIyV5ZatE+QsA9oXTEeQQiMWKOZ8fDSKQAiHBUYcZHAiBaMgBoI8b9IYAQYcRMh/hfpMCNgGB7TLiNC61DBMDymc9ehgmF4TDNnPUunr1GmZaR+EL9er+7r7o7sF9a8bZXnYER57LrXk1s6Oc8SjGic5wlGuN/KSO3l1/0j1bez+boRu+7V6ZYGI2pYMnvJqXU7P2KDv0BJI8+DjKBWpUtMxr4bI4z1efyzYAQY8caWjLu13dgHWLF5YlwES9p5fqQdYf1Ar0PVOzQXGO0IMOL7WTI+xQpIsfEiUfIgIyws0N8N7x2aCwxGgBHfz7NuMoSyem1HJEoeY4RDBb8hAUbAtRjBwutQgREZnhnjeqBhNk5JYY87hEtueQ5GpAxG9GAE2hGnLIWmgPnaL5Aqib5GhsEIMOK7e2JMyLKDGLPMMBgBRnx3EziQjF/BiNGefS4GI97SYEQiac3HnEsPIv+gneeYQ5URbjDi/QxGpPPWnxaVf9DIc8zFLjQYAUaMYDDiVOy615ORDUY0y3Mwojx23evJyAYjmuU5GFEeu+71ZGSDEc3ynF6HqkyMsRcEQfcSvQ5VmYZaAP6VWnM1JxqhMkNFskzJ+ENV9Kre1+j6cZoKjOgrMKKNwIhynWEEo5Rz4QhKzrNcioERbZRmBPGtjMDBuzJi3+PM0UXtiFvG8JDAiDoy9u3b8tc4xFhov09HMUZQ61DRB+/KiHlyY2wqlKN7EPwXTjG/ERG/ZBCBETU0T3vaSsH1dp/ETuKZeY52RFBH2xFkPT8amVtGMlNgxHlpLGw/TfPygkplu5AjMCKtQ4yIcMH/kRyM8EuOJjCitvY2xTyRqayUAiPOKJ8RyaoeIggGLE0tIGDhdaiWYmBEpqTgWy9inhjn25CEk9RgRLkyGZEz+pjkAmCh0I6oq3nSY5NmD8TujSgw4owueq4R6WvkXH5jgRG1JAV3Hl6YmifrHBhRrkuffV5x7XcXGFFFcUAoMKKirmtHhEreMozVBUbEZHYxNhkDE0QBMKJc17UjlgKhKRJQXGBERHrKw6Z9goR9QKucEYc0VH5HcjQyyuAUQAuiWGBEG4ER5UKO9hXi30ZgRLmQo32F+LcRGFEu5GhfIf5tpBmBdaggCCK1MkJVWoeK9V5+r5lfyfUUc6LhlBkpgJfHH64U57V21+prdP9ILWOXKANG9I0/XCnOYER57BJlktEgATFSDEkn51nmxh+u4TQj3OlSX8/H9mAfe/klLoxHI9KCuGUYsw1G1LEUehLO7B/0t+2bD+/lRy05ZWwE/PV83H7fcGN9Hv9sMEf3IPgvQmUiBcYzGFHDs0aDFFvlNw7Ok94KePFEguNgO8LGAjEh+56ZfbQdQaIhFJltriVzFLnk7gYjKlhwxsX2o2ScsdmEhXJbDYIzISowwpbRpgAjdke4kNNYuGUADxqMqG2j+TAxJiRTdlZLwbgo6WvEGfH1fPgjEvdM8XxGHILC3l6IXzKeVxCE16EKxh8mLbjVrZic7rNkfO+JVGTE5wfzBiNGZ8ShZoLTmyDV/YN3MtoRNT1PRs3fOh3KGI8QfG1ZVGTE1/NBAmJ0RvhORgPtCMpgRDULblX7ebIyeWJMzIx7f5xWZKg9zscYEQEEGOE6nxGRF+MZjKhjBxDKGcg0xiZWV2lHBLoYYATtM4zIuXxsgxExW12MzeZzDek/xajBCD1jYpMDjHum9dWMCHHhlsGsZzAiZm8dqrXJYC5QNTtXlTLikIZK61iOZo47OkQYe6iyZvzhqnEGI8pj1/0eRjbi3yzOYER57Lrfw8hG/JvFGYwoj133exjZiH+zOK+MwDpUEASRWhmhKq1DdfIdvpFer5diDO7lF9azbKIX1rwtFhgBRowgMKJcYMRFTs6zBCNaKs0Iai42OX/qjowwdj7zdzkDI8CIN5aRu4zpnfuMOVRbSgdKbooxgliHylwy4vPDp8S9GDFPexyl4GTselenWxqMqCEpuL9puJHS+iVZUutwOyJ+4k6MsLFAbJgKRoARbywpuNf2tbJ4nvQ+wdRewJvKGUEtZ3krRtgyALwJjAAj3ljz5PePdywoZQCDKmmoiBHrmMQA4xGbpOD+iAQYcSkjWPgFGJGheWKcc2vowWkMb8QgSpo62dcg1sVuE4Cmmid/IEeBERczAu2IUzK7yttrmhFUSVMnGEGNWt6PEVJwEhAKjAAjvo9WHNB9DaqkoTOMIBoSN2NEBBAKjAAjvo+MJoM/ZkmVNHSMEdZa2NSaVLdiRKCLsQuM6GswIiJrBE1nMvHsM1BSC3Oogpq9lXwIvvauJyMbjIjLmBplZC4xhypQchPmYpcLjAAjRhAYUS4wAowYQWBEucAIMGIEgRHlAiPAiBGkGYF1qCAIIrUyQlVah6r78nvN/Dq/v0ZxYRjrWTaM81q7a/U1un+klrFLlIlHI6neH/DNDUY0izMYUR67RJmcaPhlRooh6eQ8y9z4wzWcZkRgLja1wsz9GCGF/qvubnx2jhGZ6h6BHgYj6pjMXn3Q3LZP6t3D7U3D2eF1qKxTt2fErINLbKAaztE9CP4LOMNgRA2T2WscnCfGprXwxLYdbY0Cm0vaEV/Px+P5vH87wtqIXTJOxI6+kEQDGRm0ICiDERVMZq/1p27bAZj6+2f6OCO+no/H82uQvoY2zVeiZIQLfnBChW8bxiyDEbVtZO+09SYEX9sO82TQhPBRRqyEGGU8YrfgumFmxM4tdggKCu0I2isIIgtSheIPk3ayd/lW19q52Foc+1e9qHG3A4zYCTEWI+aJbIy5OZokgn8E7QjKaEfUtJW9Rpd5H49YvvQZHXfLZ4TxvfBN/hoz/YNS14KHemsVnn2iHUEZjKhmJ3vnSTcf1NbvcPoak/toA88+j4TYNuZZXmQwoo797LUGMjccSOH2RMCIXAe6GGbsEu8Qj0ZS3SPw3gYjYiaz1+xK6NeS8Y0Lp/sagzHCW4fK52viHdCOuNJgRMyh7DWXV9PDkzN1UMcZc7ELHcvRZFsgU70/4zsbjGgWZzCiPHbd72FkI/7N4gxGlMeu+z2MbMS/WZzBiPLYdb+HkY34N4vzygisQwVBEKmVEarSOlQn3+Eb6ZVaTzEZjehgJZRQMv5QFb2w5m2xqjCi7EJIgRGtBEaUC4y4SMl5lksxMKKN0ozwvvdptohvvd+nsjY583dYRl/jIoERdRTOXnfLcD2xyk/zw+tQGd/8vH87wthAVQoe3ivV0R4E/wWUIzCihujsJWhgnKXSvKQdQUzMviUj7Hi55FVHGKGAiSMCI84rnr3mz/a5eTq9b/jnB/XljVsywpZB5U1kjka44AcHfQ1SYERtudkbZkTsb2E+Ix6PbUjCp8Vdk1sK7nfV/BzNgULov7hr6Aq0gICF16FaioERmfKz1yKB2eSQgjO3IXGQEV/Pxz5Oab6+NyPmyYubUl6O5hABjMgR2hE1RWVvcMyST5M3InG0HWHJ/374/RKdAuuqM881Ir0M9DjAiFoKZS/RowifASNiigBC1Xj26ZS8WfSKBUZUUSR7g4yIPr/LXfNWj0J8ftx8fkSgi7GrFiPw+KNMYERM0ey1GGEMaBIj8wXtCGMSFb0O1RWft4tmbyWfUD8tpGQ0yA7FyL2MQwIjIopnr9OO0JOtKKpgLna5IjmaHFBIggCkSAqMaCMwolzI0b5C/NsIjCgXcrSvEP82AiPKhRztK8S/jTQjsA4VBEGkVkaoSutQsd7L7zXz6/X67/MJ9/IL61m2yvO1dtfqa3T/SC1j172ejGwwolmegxHlseteT27p5DxLMKJxnicY4c3F1rOo/ElUd2OEXsiH2PgTjAAjvoNnK3ul8FJasj3NqVSPMYJah+rfz4/9R+PlLRkxT3o/ZWf/9S123avTLQ1G1PRkVvuZsW1HT53ekvHE3tdH2hHU98FvywjTzv7rW+y6V6dbGoyoZsGZIPcKV0b7QjLu5raT50cYQe8WPgAjBEc7Aoz4ZpaCceH2NaZtA3HB2TQzpZia/b9/Tp4fYMTSjHh++F2Q+zJi7b9hPKI1I1h4HSowIsN7D2J2s3f5utcKiK3APiQxE3l+kBE7GgLrUPUOzTW2Gmk6dt2r0y2NdkQFC762FyxGSMa98QgZ6ozoPC/va5BrzPSPzkXeG2lG7LpXp1sajKhg61EFY4wxIdk8Gc0HIqVDeX50zNJeAHcURkjGwQgw4jvaaEc4w2qXMMLsYNy+ryG49ewTfY03MxiR55nuSuyvM/L86BwqctrEHRmhMIfqrQ1G5NkeszQXqNqHJ1N5jrnYheYNdDEAAAlxSURBVAYjwIgRDEacil33ejKywYhmeQ5GlMeuez0Z2WBEszwHI8pj172ejGwwolmer4zAOlQQBJFaGaEqrUN18h2+kV6p9RRzohEpM1QwC5SMP1RFr+p9ja4fp6mqMCJSbKhgFgiMaCMwolxgxEVKzrNcioERbZRmhPt9DUf2TMubpbU05pb4m5ydYYQ3mX6VedXNgpkvMKKOjPTdN+6LpvQ8RfM8dx0qS94XNm6V1uYGqVT0QjnqV/JDAxNgBBhRQ0b67ruBR1N6nhJ/C/PnYkcQcS9GmKI2Y89nhMqo8GDELjDivHYs7D+56Wsfk4JzIQ63IxKMoE7cNa3tiK8iczTChcwfwQgworbM9sMqK6Wl4FzIgr5GnBHksnU3TOu1A5c1HhGnQKQASZYbBjNPCwhYeB2qpRgYkSkpuIUIN6VXQpSMR8QYEVj89rZpTTUknBxNEiFyBIwwhXZETc0T+RduT+mdEJUZQSybf29GUPG76NknGAFG1JIUnAaEUmpN6Vl4K1aF8vwQI4LLY983rYmGRMV5lmTJ+wYzITCiiuKAoFK6XjsissnGndLa6sVRDbbzjIg/+LhTMK8QGBETlbGplK7GiFA/426MUFfOoSLPJoc8IVNgRETmclNmBleeQ1WgodI6kqP7LyZSIPLOycshBUa0EhhRLuRoXyH+bQRGlAs52leIfxuBEeVCjvYV4t9GmhFYhwqCIFIrI1SldahY17X3WvqVXE/xUDRGCl2j+MOV4rzW7lp9je4fqWXsEmUi0TBFFh4pklfFH64UZzCiPHaJMjnRIBkxUhh9J+dZ5sYfruE0I9w5VF/Px/rnj/5OV/ePVNOpPc4Sl5cx4mYxPG4woo6l0G3Vdds+ae8nbme14Nau4ptjjKDWoTImWVLzLW+V3/Nk7ZVqbri8xY6+MKfah/oadwpgqcGIGp41GvRWwJJx4q8d2ydlHmUE0Y6wvqpBfLPrtikuheaFETu6cE73gaRG94/5HgYjKlhw46+aZHzhhWTcTWPrkgqMMMBAfmf8toluRVzHjiiZyQXndUjdP3gPgxG1vbcpZv9PnXYtRug+SGD9iN7hqO21U5c3HpHfWDh0ajCvIAivQxWMP0xa8A0NM2NcD0nMXrEajDB+uv14hGndo7NiZ5XJ6T6YICDHI8irBjPaETU9Tzp1zTT2U7oOIz4/yH7H/RmhFJsYE9KJXeKSnGjkDF4MZjCimgUnm8CrnZSuwghndZmRGCEZByMaGYyo4zgg1DWMsCBBLUd1q+TWvTi7wWbELvEOBYxAjyPbYETMVMYmUrramKWxnZ8/anm3zG48hyo55Akfiv/I9tahWpsMkZQuZsQhDZXWsRx1xiMjZcwfe3+i72UwolmcwYjy2HW/h5GN+DeLMxhRHrvu9zCyEf9mcQYjymPX/R5GNuLfLM4rI7AOFQRBpFZGqErrUJ18h2+k1+ulGIN7+YX1LJvohTVviwVGgBEjCIwoFxhxkZPzLMGIlkozIjyHivji500ZEd7jrHd1uqXBiErSG/fp9DU2+dt2/gwc3BRjBEEDY/41uTPwLRkxTyy432fv6nRLgxFVNE97jd9fUsfog1rH2hF2m4Jeh6rJx28nKTgXAu0IMOKbSQruJ60UXCNgax2TBw2dYQSxEtXdGCEF50KirwFGfDuROWsd3NhAHjR0cDzC/d4n8d3wCz92a62EwHhEF0aw8AswIqmlGSEma5TBAcCS1uRB861OjFk+Pj68EYk7MWInBBjRhRFoR5zRMly51v2t39GKEdEzd2KEsHYisAeHlVJgBBjxzrLr+vpTi76Ge+L+Y5ZKKbQjwIjvJ7uyrxncYMwytQUPGAG3MxgRlfFgQ7+8/tnnv4mt/MAIGIx4H+mpUYnpUsVzqAp0U0bQAiPAiBEERpQLjAAjRhAYUS4wAowYQWBEucAIMGIEaUZgHSoIgkitjFCV1qHqvvxeM7+q7K9R66rxnI4/XCnOa+2u1dfo/pFaxi5RJhINXzlXwYfiD1eKMxhRHrtEmfxogBGGk/Msc+MP13CUEXq+lL1qhH/w5oyYL9zLzy92zxgeMBhRx+S2fcZ0KTZHD26OMMKYbK2/mpGYjH3P/J7YMUbsQfBfRApHjgxmMKKC58na/pcLphRTs6aALkAe1A4ywv7G1jYh2/3yxq33DV8sOBPiLCNUuOb7ZZzhifEMRlS2FGvN318opVvH5EHj8szxiK3NYGGB/m54/4jUDS4Xx/oaES6QwTHHLP1/hzQYUdmCr+0I3aBQTEnGGZsDB43Lsxjx9XwwvxlBNSTuldmS8QUN2YxIQsEvEOqY3CqSx7yCILIgVSj+sGMprPEIwdk067MTY0LSB403yWDE5wcz18IehxGCb8HKY0TOyIIJAocFh0Yxbm20Iypbbp3lKxjhrlk5VF/DW4fKj13iHXKi4bcawAgworqXml+9r0EsajvgmKVS1z77xHMNz2BEbUvGGROy9pil0cVwOh7DPfsEI97SYETMglvPPtk+slbv2acxVWrVCgzMoTJil7gQjLjSYETC18+hKtFQ+R3L0V2Rd/DL5FwF58QfrhpnMKI8dt3vYWQj/s3iDEaUx677PYxsxL9ZnMGI8th1v4eRjfg3i/PKCKxDBUEQqZURqtI6VCff4RvplVpPsSAaQwXwpJLxh6roVb2v0fXjNBUY0VdgRBuBEeU6wwhz4knmJeMoOc9yKQZGtFGUEeQ6VPsZaqPgm6Z4eC+/qOKMIMvcNIDHBEZUkTTmUFk7iG86v5cfuQ6VMc1yGEbMkx3lTaEc9eu/HxYwIiIwooLM3X3137iqewLT61CN146QgnMhDrUjyPofYgGLqtan+F4CIypLCr7U/P2FUpoc5EFDmeMR7ve3RmGEFJwLeaSvkcMFhXZEVGBEXUnB1/y1EnljA3nQUBYj9nWoBmPESoj88YhkhU92Q+4VwEItIGDhdaiWYmBEWuuYxJq9DgCWtCYPmu+RwQjqS+IjMGInRCYjIkTwj4AREaEdUVlbQ+ISRhDLzAzDCOGtQxWKXUjx5xrkoMOdAlgsMKK61ppfva8RAsQgjDCEZ59NBUbUFtmQOD9mSa9DBUZoYZ5lX4EREUnBrWefetCy3rPP4DpUYMQmMKKvwIi4GsyhKtFQKR7J0eIJDkMF8KTAiDYCI8qFHO0rxL+NwIhyIUf7CvFvIzCiXMjRvkL820gzAutQQRBEamVEP05BEPQN9P+hms+OzpWhrQAAAABJRU5ErkJggg==" alt="" />

Rollup(t.classid,t.studentname):统计的分组列包括()、(classid)和(classid,studentname)

Cube(t.classid,t.studentname):统计的分组列包括()、(classid)、(studentname)和(classid,studentname)

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