欣赏另一种Orm的设计风格----大道至简_.NET_编程开发_程序员俱乐部

Moon.Orm 5.0(MQL版)使用指南(二)

一、使用sql及存储过程

1)使用List<Dictionary<string, MObject>>

1.使用sql ,体验原生态的感觉

string sql="select * from Class where ClassName = @";
string sql2="select * from Class where DateTimem = @";
List<Dictionary<string, MObject>> mylist=db.ExecuteSqlToDictionaryList(sql,"boy'");
List<Dictionary<string, MObject>> mylist2=db.ExecuteSqlToDictionaryList(sql2,DateTime.Parse("2013-10-10 14:40:08")); foreach(var oneClass in mylist){
                    string className=oneClass["className"].To<string>();
                    long id=oneClass["Classid"].To<long>();
                    DateTime datetimem=oneClass["datetimem"].To<DateTime>();//不用区分大小写
                    Console.WriteLine(className+"  "+id+"  "+datetimem);
}

2.使用mql,智能感知带来的优雅体验

var  list=db.GetDictionaryList(ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(0)))  

2)MQL 全面接触

QQAuDD8PrzP8nxNHBlk2qMXB5XAi9cQXQncz7qvM1gZAwBcm5e+XhfspXzRAn1ELAAAeOGwXgcAALgOrNcBAACuA+t1AACA68B6HQAA4DqwXgcAALgOrNcBAACuA+t1AACA68B6HQAA4DqwXgcAALgOrNcBAACuA+t1AACA68B6HQAA4DqwXgcAALgOrNcBAACuA+t1AACA68B6HQAA4DqwXn94lmVJNmqDZpcVluvsAQBgNazXr8AKkV73aiBjtuUVAwAAbIT1+hVYluVJO5cY26Xs27R3+zbzESG6BggAAElYr1+BSiaFarr6qruL1wqRVEf7mQwBAGALrNcviKvWro09zPTK+Nfe0HUAgEGwXr8avQqdWX9Hnl0z28v6RNcBAAbBev2xqSQzqdC3njX3zei3XevbBFxjdB0AYDSs1y+Cu5jW9kKqrVn0isF9fYCuAwCcxaj1uhAA2ndsv7MYpbQt5alm96Q3t315ruU253JnaH1on7MdAMbBev0iuA/Q6Dmbt8/4d5PR+zzcAQAGwefrF8EqpdbOpvQmvaHrAABTwXr9IqzW9WrNPULX7eIeXQcAGATr9YuwZb1+877Hbu1734cv/62CousAAINgvX4FrIImu2x0Ipx3vaoAAIC9YL3+8Ig3vcV74LaXPszgpuRmi64DAAyC9fpLpNR48Ub66OgAALA7rNdhUpqL/qT9iE8E3NdDTVeVwe6vb3jBBAA31uswM11SLT53iD4vsK60pf7EIfNqY4k/7+giGqk9hdgDvDRYr8O8RLKkG12tTb5EaOq06CLsqxcZ2j7PiuQB4PKwXod5SSrrLV6qRivX6OwgXc8bd4GuA4Bl7Hq9+UgdMaTMc3y1H9F+AMfX0421e5Rekoq7okskjYtH01WSKOcmyXOTXzAAAB5CSURBVOQPoBzI0KkoJn8yaGS/yxUBmIGB63V9qw+9f6LH7lKs6vIeMvsHcEo93cfo7lGiuHbILm4vYVYFig7dLjZixpUYZtMm031Jv9kwiGPuC9fzvTETN8rzmPwBjmHUet194JaBh948+v7vjT7D/X9WPZfPMDSKTiDZKNqFH1vY1V2EH4vOtjkK4dA9NZpjJonreXXoqONhRQMYxKj1evPesAbRk6i33XV+a93GSW9n3f9n1bNqjOrm2mtXmS63fl0XRPalwyphN27UJcpql+SjktrEupLZizIxm2R0Zd0RlRfF7ZIMLeqW6ZgZNcCcHLRetwiDzP2m78Ou27iZpHgeHXb/n1XPxSPjf3n+aF5R/LtxslG0u6eqPK2Z7uKGyFwmcbaXruSHsn2OWVe2nvnpl8m2slye03QCMC2TrtebN7Noj07px4q4pfON4zirnvdG68r1X9pH3d18ovpHqYoiRLhORLjolG2PMk/ijiVDPvnRlAOpBhUVPypC2ZJ3Fe2LOucbAR6LWT5fF88F0dhl3AwRMcP9f1Y93Qel8F8aVIfryhUlme+iPVSDjTra/bIamazyNnmSCR9A73wT86H3VDN0JudMdIBHYZbvw0fGvftRS9mYuXVX+B/NKfWM3DbtKzOdvB51tVPtlz6TuP6t23IgUZdMe69NnnJEYlwHkJk/mX17GEWxjZl5JeImPQDMz8l/v25vM3uLuk56292Imqb/jJN9Ob6e4tD1n7HvKt3drW3UXXqNrZkbWjjMjKtr7NqPHuZegfJ0zauoXUySpn1yyM18Mk4AZobfm4OpiR7xwj5vfHtYXY/cLh4jIgLAtPD78DA1riztrutCqvfSdR1oCyg3AJSwXofHo0tZk+v1QdE3xmqCqANABet1mJSuRbmw313Xb/2fDrgGu0syGg8AN9brMDO963L3c2X9ebM9FJa2PdoX/iuH7gCbRCO1pxB7gJcG63WYl0iWdKOrtcmXCE2dFl2EffUiQ9vnWZE8AFwe1uswL0llvcVL1WjlGp0dpOt54y7QdQCwnPz36yOGlHmOr3Dohtie7YpMjqynG2v3KL0kFXdFl0gaF4+mqyRRzk2SyR9AOZChU1FM/t6gtsv2KwIwA7P83ty+RI/dpVjVdbmyj5IdsuzklHqeNXb7sF5i3F7CrAoUHbpdbMSMKzHMpk2m+5J+s2EQenKOiGIbu+JGk2eHLAHOZpbfh98Xff/no1tVOOvmP6uepw/fDRflIHKL/NjCru4i/Fh0ts1RCIfuqdEcM0lczytC2+IcViiAAxi1Xm/eJ9YgehL1trvOb/H9Hz0H7/sz3P9n1bNqjOrm2mtXmS63fl0XRPalwyphN27UJcpql+SjktrEupLZizIxm2R0Zd0RlRfF7ZIMHdXN9e96BnhQDlqvW4SBvlH1vnDedRsnHxbCw76cVc/FI+N/ef7o7Cp+5TzZKNrdU1We1kx3cUNkLpM420tX8kPZPsesK1vP/PRbl2fmCgLMz6Tr9ebNLNqjU8lbunqmuO3NBHbnrHq6BRH+S/uou5uPe+rux2YlihDhOhHholO2Pco8iTuWDPnkR1MOpBpUVPyoCGVL3lW0X4WI6i/yB3g4Zvl8vXlfRTdb3nj1rasfHEknGzmrntaPfg6WBtXhulpFSea7aA/VYKOOdr+sRiarvE2eZMIH0DvfxHzoPdUM3Zvz6rkKMAmzfB8+c4/l70N9//fet5Pc/6fUM3LbtK/MVtet7GUbq8SSuP6t23IgUZdMe69NnnJEYlwHkJk/mX17GEWxjV3zKp8PwMNx8t+v29vJ3qKuk952N2IGkefxN//x9RSHrv+MfVfd7m5to+7Sa2zN3NDCYWZcXWPXfvQw9wqUp2teRe1ikjTte+dV1WudH4AJ4ffmYGqiR7ywzxvfHlbXI7eLx4iIADAt/D48TI0rS7vrupDqvXRdB9oCyg0AJazX4fHoUtbken1Q9I2xmiDqAFDBeh0mpWtRLux31/Vb/6cDrsHukozGA8CN9TrMTO+63P1cWX/ebA+FpW2P9oX/yqE7wCbRSO0pxB7gpcF6HeYlkiXd6Gpt8iVCU6dFF2FfvcjQ9nlWJA8Al4f1OsxLUllv8VI1WrlGZwfpet64C3QdACwn//36iCFlnuMrHLp+xo1CZHJkPd1Yu0fpJam4K7pE0pi57tZVkijnJsnkD6AcyNCpKCZ/b1Cb817XBeBcZvm9uX1xnd8bu0JXN7n7WNmWbJZT6nnWeO3j1X3yuuk1zapA0aHbxUbMuBLDbNpkui/pNxsGoSfniCi2sSuuO7t0IIBHYZbfh98Xff/no1tVOOv+P6ueevgH4IaLchC5RX5sYVd3EX4sOtvmKIRD99RojpkkrucVoW1x7DU9pm4AIxi1Xm/eGNYgehL1trvOb/H9Hz0H7/tiLIfd/2fVs2qM6ubaa1eZLrd+XRdE9qXDKmE3btQlymqX5KOS2sS6ktmLMjGbZHRl3RGVF8Xtkgwd1U3414EAHoWD1uuW5E3Vuy+c6y4rjI+8+c+q5+KR8b88f3R2Fb9ynmwU7e6pKk9rpru4ITKXSZztpSv5oWyfY9aVrWd++vXmGdkAPCKTrtebN7Noj07px0oV2ja62YoB7stZ9XQLIvyX9lF3Nx9RZzdVUYQI14kIF52y7VHmSdyxZMgnP5pyINWgouJHRShb8q6i/SpEs/4brwjADMzy+bp4LojGLuNmiIgZbv6z6mn9LHL9XRpUh+sqFiWZ76I9VIONOtr9shqZrPI2eZIJH0DvfBPzofdUM3Qm5xXdAaZllu/DR8a9+1FL2dh7905y/59Sz8ht074y08nrUVc71X7pM4nr37otBxJ1ybT32uQpRyTGdQCZ+ZPZt4dRFNvYNa9c+14PAHNy8t+v29vb3qKuk952N2IG4S3vZC+Or6c4dP1n7Hvrf/+3atRdeo2tmRtaOMyMq2vs2o8e5l6B8nTNq6hdTJKmfe+8irzlnQDMCb83B1MTPeKFfd749rC6HrldPEZEBIBp4ffhYWpcWdpd14VU76XrOtAWUG4AKGG9Do9Hl7Im1+uDom+M1QRRB4AK1uswKV2LcmG/u67f+j8dcA12l2Q0HgBurNdhZnrX5e7nyvrzZnsoLG17tC/8Vw7dATaJRmpPIfYALw3W6zAvkSzpRldrky8Rmjotugj76kWGts+zInkAuDys12Feksp6i5eq0co1OjtI1/PGXaDrAGA5+e/XRwwp8xxf4VD7P4bj6+nG2j1KL0nFXdElksbFo+kqSZRzk2TyB1AOZOhUFJO/N6hwtUvCAGcxy+/N7Uv02F2KVV2XK3cgBz8CTqmn++zbPUoU1w7Zxe0lzKpA0aHbxUbMuBLDbNpkui/pNxsGccx94Xq+N3bFdWeXiALwQMzy+/D7ou//fHSrCmfd/2fVUwz/GNxwUQ4it8iPLezqLsKPRWfbHIVw6J4azTGTxPW8IrQtzjH5AxzDqPV6896wBtGTqLfddX6Lb93oOXjfd42jKIM4q55VY1Q31167ynS59eu6ILIvHVYJu3GjLlFWuyQfldQm1pXMXpSJ2SSjK+uOqLwobpdk6Khurn8dF+CxOGi9bhEG+kbV+8K57pI3tk+KAzirnotHxv/y/BHZVfzKebJRtLunqjytme7ihshcJnG2l67kh7J9jllXtp756debZxnu4NIB7M6k6/XmzSzao1P6sVKFto1l+y33EN+Rs+rpFkT4L+2j7m4+7qm7H5uVKEKE60SEi07Z9ijzJO5YMuSTH005kGpQUfGjIpQteVfRfhUiqr81WFcHgBmY5fN18VwQjV3GzRAR+sGRdLKRs+pp/SzmgevuL97jMjFQJ59kY3RWe6gGG3W0+2U1MlnlbfIkEz6A3vkm5kPvqWbo3pxXz1WASZjl+/CZeyx/H+r7v/e+neT+P6WekdumfWW2um5lL9tYJZbE9W/dlgOJumTae23ylCMS4zqAzPzJ7NvDKIpt7JpX+XwAHo6T/37d3k72FnWd9La7ETOIPI+/+Y+vpzh0/Wfsu+p2d2sbdZdeY2vmhhYOM+PqGrv2o4e5V6A8XfMqaheTpGnfO6+qXuv8AEwIvzcHUxM94oV93vj2sLoeuV08RkQEgGnh9+FhalxZ2l3XhVTvpes60BZQbgAoYb0Oj0eXsibX64Oib4zVBFEHgArW6zApXYtyYb+7rt/6Px1wDXaXZDQeAG6s12Fmetfl7ufK+vNmeygsbXu0L/xXDt0BNolGak8h9gAvDdbrMC+RLOlGV2uTLxGaOi26CPvqRYa2z7MieQC4PKzXYV6SynqLl6rRyjU6O0jX88ZdoOsAYDn579dHDCnzHF/hUPs/huPr6cbaPUovScVd0SWSxsWj6SpJlHOTZPIHUA5k6FQUk783qHC1S8IAZzHL783tS/TYXYpVXZcrdyAHPwJOqaf77Ns9ShTXDtnF7SXMqkDRodvFRsy4EsNs2mS6L+k3GwZxzH3her43dsV1Z5eIAvBAzPL78Pui7/98dKsKZ93/Z9VTDP8Y3HBRDiK3yI8t7Oouwo9FZ9schXDonhrNMZPE9bwitC3OMfkDHMOo9Xrz3rAG0ZOot911fotv3eg5eN+f4f4/q55VY1Q31167ynS59eu6ILIvHVYJu3GjLlFWuyQfldQm1pXMXpSJ2SSjK+uOqLwobpdk6Khurn+RP8DDcdB63SIMMvebvg+77v+uHG7meSGc7MhZ9Vw8Mv6X54/OruJXzpONot09VeVpzXQXN0TmMomzvXQlP5Ttc8y6svXMT7/ePMtwXfMTYEImXa83b2bRHp3Sj5UqtG10sxUD3Jez6ukWRPgv7aPubj6izm6qoggRrhMRLjpl26PMk7hjyZBPfjTlQKpBRcWPilC25F1F+1WIZv03XhGAGZjl83XxXBCNXcbNEBFd+QzirHpaP4tcf5cG1eG6ckVJ5rtoD9Vgo452v6xGJqu8TZ5kwgfQO9/EfOg91QydyTkTHeBRmOX78JFx737UUjb23rpJ/6M5pZ6R26Z9ZaaT16Oudqr90mcS1791Ww4k6pJp77XJU45IjOsAMvMns28Poyi2sWteufa9HgDm5OS/X7e3t71FXSe97W7EDDrPgzm+nuLQ9Z+x763//d+qUXfpNbZmbmjhMDOurrFrP3qYewXK0zWvonYxSZr2vfOq6rXCCcCc8HtzMDXRI17Y541vD6vrkdvFY0REAJgWfh8epsaVpd11XUj1XrquA20B5QaAEtbr8Hh0KWtyvT4o+sZYTRB1AKhgvQ6T0rUoF/a76/qt/9MB12B3SUbjAeDGeh1mpndd7n6urD9vtofC0rZH+8J/5dAdYJNopPYUYg/w0mC9DvMSyZJudLU2+RKhqdOii7CvXmRo+zwrkgeAy8N6HeYlqay3eKkarVyjs4N0PW/cBboOAJaT/359xJAyz/EuJxtd7cjx9XRj7R6ll4yCrusSSaOdD9ahdZUkyrlJMvkDKAcydCqKyZ8JKoq/10UBOJ1Zfm9uX1zn98ZM6MjGfRZsyLSDU+p51njtE9Y+kZuP5sisChQdJidAxpUYZtMm031Jv9kwCD05R0SxjZm4kY07kTZkCnAms/w+/L7o+z8TPXP/a8HYl7PqWY3x+OdddBXyxtqPLezqLsKPRWfbHIVw6J4azTGTxPXcFToysE6OqRvACEat11fcYNGTqLfddX6L73/3Odi8/0X0EZxVT1GWpr12lely69d1QWRfOqwSduNGXaKsdkk+KqlNrCuZvSgTs0lGV9YdUXlR3C7J0G7dXA+35zPBzRbggThovW4RBvpG1fvCue7iGts7vLz/M3724qx6Lh4Z/1V9uopfOU82inb3VJWnNdNd3BCZyyTO9tKV/FC2zzHrytYzP/10nsJzGVqOGGBeJl2vN29m0R6d0o8VN7Q21jnsy1n1rEYq6mbto+5uPu6pux+blShChOtEhItO2fYo8yTuWDLkkx9NOZBqUFHxoyKULXlX0b6oc2QcBQJ4FGb5fF08F0Rjl3EzRIR7/6/ws4Wz6hmNPfJfGlSH6woVJZnvoj1Ug4062v1qJjSzytvkSSZ8AL3zTcyH3lPN0Pmc1/kBmI1Zvg8fGffuRy1lY+amTcY68v4/pZ6R26Z9ZaaT16Oudqr90mcS1791Ww4k6pJp77XJU45IjOsAMvMns28Poyi2MTOvtucAMD8n//26vbXsLeo66W13I2oy/g+++Y+vpzh0/Wfsu4p2d2sbdZdeY2vmhhYOM+PqGrv2o4e5V6A8XfMqaheTpGmfHHImn+OrB7Aj/N4cTE30iBf2eePbw+p65HbxGBERAKaF34eHqXFlaXddF1K9l67rQFtAuQGghPU6PB5dyppcrw+KvjFWE0QdACpYr8OkdC3Khf3uun7r/3TANdhdktF4ALixXoeZ6V2Xu58r68+b7aGwtO3RvvBfOXQH2CQaqT2F2AO8NFivw7xEsqQbXa1NvkRo6rToIuyrFxnaPs+K5AHg8rBeh3lJKustXqpGK9fo7CBdzxt3ga4DgOXkv18fMaTMc7zLidvllOfm8fV0Y+0epZek4q7oEkmjnQ/NKeF2yfjJk0z+AMqBDJ2KYvJngvZeRIBHZJbfm9uX6I5dilXdCg/Js4M4pZ7uY3T3KFFcO2QXt5cwqwJFh24XGzHjSgyzaZPpvqTfbBiEnpwjotjGTFxtc9j0BhjKLL8Pvy/6/s9EjwyaOjGIs+pZDfaUgScbRbvwYwu7uovwY9HZNkchHLqnRnPMJHE9d4WODA4uF8BQRq3XV9xg0a3V2+46v8X3v/sc1Pkff/+fVU9Rlqa9dpXpcuvXdUFkXzqsEnbjRl2irHZJPiqpTawrmb0oE7NJRlfWHVF5UdwuydBu3VwP2j/Aw3HQet0iDPSNqveFc93FNbbPnWT33TmrnvWjMV3Y5fljtKv4lfNko2h3T1V5WjPdxQ2RuUzibC9dyQ9l+xyzrmw989NP5xldqa6ZCTAtk67XmzezaI9O6cdK191+/P1/Vj3vjdaV67+0j7q7+UT1j1IVRYhwnYhw0SnbHmWexB1LhnzyoykHUg0qKn5UhLIl7yraF3W2jRsvB8AkzPL5unguiMYu42aIiBnu/7Pq6T4ohf/SoDpcV7EoyXwX7aEabNTR7pfVyGSVt8mTTPgAeuebmA+9p5qhMzmv6A4wLbN8Hz4y7t2PWsrGzN27wv9oTqln5LZpX5np5PWoq51qv/SZxPVv3ZYDibpk2ntt8pQjEuM6gMz8yezbwyiKbczMKxE36QFgfk7++3V7m9lb1HXS2+5G1HQlfwzH11Mcuv4z9l1Fu7u1jbpLr7E1c0MLh5lxdY1d+9HD3CtQnq55FbWLSdK0Tw454+f46gHsCL83B1MTPeKFfd749rC6Hrm1+oREAbw0+H14mBpXlnbXdSHVe+m6DrQFlBsASlivw+PRpazJ9fqg6BtjNUHUAaCC9TpMSteiXNjvruu3/k8HXIPdJRmNB4Ab63WYmd51ufu5sv682R4KS9se7Qv/lUN3gE2ikdpTiD3AS4P1OsxLJEu60dXa5EuEpk6LLsK+epGh7fOsSB4ALg/rdZiXpLLe4qVqtHKNzg7S9bxxF+g6AFhO/vv1EUPKPMe7nBycfzKrY/JxY+0epZek4q7oEkmjnQ/WoXWVJMq5STL5AygHMnQqismfCSqKv8sVAZiBWX5vbl9c5/fGTOjI5oDnVyalw+rpPvt2jxLFtUN2cXsJsypQdNicANo+U6iNxSyLo5MZzTH3hev53piJG9kckz/AMczy+/D7ou//TPTZ7v+z6rl8hqFRdALJRtEu/NjCru4i/Fh0ts1RCIfuqdEcM0lcz12hI4Nj8gc4hlHr9RU3WPQk6m13nd/iW9d9Dmbu7SPv/7PqKcrStNeuMl1u/bouiOxLh1XCbtyoS5TVLslHJbWJdSWzF2ViNsnoyrojKi+K2yUZ2q2b60E4BHhEDlqvW4SBvlH1vnCuu7jG9rmTyX8EZ9WzfjSmC7s8f4x2Fb9ynmwU7e6pKk9rpru4ITKXSZztpSv5oWyfY9aVrWd++uk8xZXqmpwAczLper15M4v26JR+rIi7PUo1GtoIzqrnvdG6cv2X9lF3N5+o/lGqoggRrhMRLjpl26PMk7hjyZBPfjTlQKpBRcWPilC25F1F+6LOtnHj5QCYhFk+XxfPBdHYZdwMEZF5uIzmrHq6D0rhvzSoDtcVLUoy30V7qAYbdbT7ZTUyWeVt8iQTPoDe+SbmQ++pZuhMzr19AWZmlu/DR8a9+1FL2Zi5gdfFHcop9YzcNu0rs9V1K3vZxiqxJK5/67YcSNQl095rk6cckRjXAWTmT2bfHkZRbGNmXq3IB+DhOPnv1+3tZG9R10lvuxtR05X8MRxfT3Ho+s/YdxXt7tY26i69xtbMDS0cZsbVNXbtRw9zr0B5uuZV1C4mSdM+OeSMn+OrB7Aj/N4cTE30iBf2eePbw+p65NbqExIF8NLg9+FhalxZ2l3XhVTvpes60BZQbgAoYb0Oj0eXsibX64Oib4zVBFEHgArW6zApXYtyYb+7rt/6Px1wDXaXZDQeAG6s12Fmetfl7ufK+vNmeygsbXu0L/xXDt0BNolGak8h9gAvDdbrMC+RLOlGV2uTLxGaOi26CPvqRYa2z7MieQC4PKzXYV6SynqLl6rRyjU6O0jX88ZdoOsAYDn579dHDCnzHO9ycnD+yayOyceNtXuUXpKKu6JLJI12PliH1lWSKOcmyeQPoBzI0KkoJn8mqCj+LlcEYAZm+b25fXGd3xszoSObA55fmZQOq6f77Ns9ShTXDtnF7SXMqkDRYXMCaPtMoTYWsyyOTmY0x9wXrud7YyZuZHNM/gDHMMvvw++Lvv8z0bc8I0ZwVj0/o4nL0Cg6gWSjaBd+bGFXdxF+LDrb5iiEQ/fUaI6ZJK7nrtCZ3A4rGsAgRq3XV9xg0ZOot911fovv/+gROdX9f1Y9RVma9tpVpsutX9cFkX3psErYjRt1ibLaJfmopDaxrmT2okzMJhldWXdE5UVxuyRDu3VzPQiHAI/IQet1izDQN6reF851F9fYPneqs8LDvpxVz8Uj4395/hjtKn7lPNko2t1TVZ7WTHdxQ2QukzjbS1fyQ9k+x6wrW8/89NN5RlcqcwUB5mfS9XrzZhbt0Sn9WGne7V0J7M5Z9bw3Wleu/9I+6u7mE9U/SlUUIcJ1IsJFp2x7lHkSdywZ8smPphxINaio+FERypa8q2hf1Dkq/saLAnA6s3y+Lp4LorHLuBkiYob7/6x6ug9K4b80qA7X1SpKMt9Fe6gGG3W0+2U1MlnlbfIkEz6A3vkm5kPvqWboTM7JBAAeglm+Dx8Z9+5HLWVj5r5dF3cop9Qzctu0r8xW163sZRurxJK4/q3bciBRl0x7r02eckRiXAeQmT+ZfXsYRbGNmXm1Ih+Ah+Pkv1+3t5O9RV0nve1uRE1v3AM4vp7i0PWfse+q292tbdRdeo2tmRtaOMyMq2vs2o8e5l6B8nTNq6hdTJKmfXLIvXkCPBz83hxMTfSIF/Z549vD6nrkdvEYEREApoXfh4epcWVpd10XUr2XrutAW0C5AaCE9To8Hl3KmlyvD4q+MVYTRB0AKt55+62u7fXXXu3T9RWP2lt6cbPxobbXM5FnKwAATMKTIid5kuxNui4Eu2xcp+vWQ5N1krw9LgAAwAjuIp3ZNul6+VHlXbarzy8rOV+xXnfDlWebNEsWDUfEBQAAOIZRuq4lUyxwK2GO/GjPWlnFq4EuymS2+AEAANiLo9frpRC6qtzUSPH6QLwOEE5ELE2VKqIOAACnc5Cuu6vqar96BRBlHPnRp/JOVrDLqwQAAIDtHKHr1ercXU9HSm+X3dZSnKrSSNKsWq+TvGcAAIAtVLru2uzzPnyJUDgt4bYx0vIjRbQZC10HAIBjsOv1ymDTet3qbnNde2utv5fnq3/hWS+dtVkXCDYAAEyC+z78/ezW78PfWp89C+Vunk16q+htz2D7ovQAAHAK0efrNyPq+7wPH0lvJOF2PX26ruv3Btw3ALa/JQAAAJDhuL9zq1qEyLkS7jpcp+tNGe6l2RddBwCAYzhB16PGFWeTGr+lPQOCDQAAk3Dmen2FxOYX6Og6AAC8QAbqun2/XX/qrN+fr866h9be9XP8+/AAAADH8M7bb338Y2/kt+6/c7vvZN6Q73p/Xoi6cMV6HQAALszrr73au7V1vfc/dWdjY2NjY2M7cVO6nv/v3AEAAGASQl1nY2NjY2Nje8TN0XU2NjY2Nja2x91+Xde7vn3HxsbGxsbGNuf2+muvrvn2HRsbGxsbG9uc2/8HmxObzquLQrIAAAAASUVORK5CYII=" alt="" height="353" width="538" /> 

2.1 MQL的标准查询

var mm=ClassSet.Select(ClassSet.ClassID,ClassSet.ClassName).

Where(ClassSet.ClassName.Contains("s").And(ClassSet.ClassID.BiggerThan(9)));

 

SELECT [Class].[ClassID],[Class].[ClassName] FROM [Class] WHERE [Class].[ClassName] LIKE @p1  AND  [Class].[ClassID]>@p2
@p1=%s%
@p2=9

2.2 MQL的嵌套查询(含有Top查询:支持mysql、oracle、postgreSQL、sqlserver、sqlite)

var qiantao=ScoreSet.SelectAll().Where(
                    ScoreSet.UserID.In(UserSet.Select(UserSet.UserID).Where(
                        UserSet.ClassID.In(
                        ClassSet.Select(ClassSet.ClassID).Where(
                                ClassSet.ClassName.Equal(c.ClassName).And(ClassSet.ClassID.BiggerThan(0))
                            )
                        )
                    )
                  ) 
                ).Top(1);   SELECT TOP 1 [Score].* FROM [Score] WHERE [Score].[UserID] IN (SELECT [User].[UserID] FROM [User] WHERE [User].[ClassID] IN (SELECT [Class].[ClassID] FROM [Class] WHERE [Class].[ClassName]=@p1  AND  [Class].[ClassID]>@p2 ) )
@p1=综合测试ClassName2
@p2=0

2.3 MQL的分组查询

var mql=ScoreSet.Select(ScoreSet.ScoreM.Sum().AS("sum"),ScoreSet.TypeName).

Where(ScoreSet.ScoreM.BiggerThanOrEqual(100)).

GroupBy(ScoreSet.TypeName).

Having(ScoreSet.ScoreM.Sum().BiggerThan(300));

 

SELECT SUM([Score].[ScoreM]) AS 'sum',[Score].[TypeName] FROM [Score] WHERE  [Score].[ScoreM]>=@p1  GROUP BY [Score].[TypeName]  HAVING  SUM([Score].[ScoreM])>@p2
@p1=100
@p2=300

2.4 MQL的连接查询

var m1=ClassSet.Select(ClassSet.ClassID,ClassSet.ClassName)
                    .LeftJoin(
                    UserSet.Select(UserSet.UserID))
                    .ON(ClassSet.ClassID.Equal(UserSet.UserID))
                    .Where(UserSet.UserID.BiggerThan(9)); SELECT [Class].[ClassID],[Class].[ClassName],[User].[UserID] FROM [Class] LEFT JOIN [User] ON [Class].[ClassID]=[User].[UserID]  WHERE  [User].[UserID]>@p1
@p1=9

2.5 MQL的Union查询

var mql=ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(1))
                    .Union(ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(2)));   var mql=ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(1))
                    .UnionAll(ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(2)));

 

SELECT [Class].* FROM [Class] WHERE  [Class].[ClassID]>@p1  UNION  SELECT [Class].* FROM [Class] WHERE  [Class].[ClassID]>@p2
@p1=1
@p2=2 SELECT [Class].* FROM [Class] WHERE  [Class].[ClassID]>@p1  UNION ALL SELECT [Class].* FROM [Class] WHERE  [Class].[ClassID]>@p2
@p1=1
@p2=2

2.6 MQL的使用预览

public static void Main(string[] args)
        {
            
            using (var db=Db.CreateDefaultDb()) {
                db.TransactionEnabled=true;
                db.DebugEnabled=true;
                Console.WriteLine("---------------嵌套查询---------------------");
                var qiantao=ScoreSet.SelectAll().Where(
                    ScoreSet.UserID.In(UserSet.Select(UserSet.UserID).Where(
                        UserSet.ClassID.In(
                        ClassSet.Select(ClassSet.ClassID).Where(
                                ClassSet.ClassName.Equal(c.ClassName).And(ClassSet.ClassID.BiggerThan(0))
                            )
                        )
                    )
                  ) 
                ).Top(1);
               
                Console.WriteLine("---------------分组查询---------------------");
                var mql=ScoreSet.Select(ScoreSet.ScoreM.Sum().AS("sum"),ScoreSet.TypeName).Where(ScoreSet.ScoreM.BiggerThanOrEqual(100)).GroupBy(ScoreSet.TypeName).Having(ScoreSet.ScoreM.Sum().BiggerThan(300));
              
                Console.WriteLine("---------------连接查询---------------------");
                var m1=ClassSet.Select(ClassSet.ClassID,ClassSet.ClassName)
                    .LeftJoin(
                    UserSet.Select(UserSet.UserID))
                    .ON(ClassSet.ClassID.Equal(UserSet.UserID))
                    .Where(UserSet.UserID.BiggerThan(9));

            }
            Console.WriteLine("---------------Union测试---------------------");
            using (var db=Db.CreateDefaultDb()) {
                db.TransactionEnabled=true;
                db.DebugEnabled=true;
                
                var mql=ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(1))
                    .Union(ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(2))); 

            }
        } 

 

3)使用DataSet

1.使用存储过程

DataSet dataset=db.ExecuteProToDataSet("存储过程名",参数一,参数二);

2.使用sql

DataSet dataset=db.ExecuteSqlToDataSet(sql,"boy");

3.使用mql

DataSet dataset=db.GetDataSet(ClassSet.SelectAll().Where(ClassSet.ClassID.BiggerThan(0)));

 

4)使用xml配置sql查询

1.配置config节点

 

<appSettings>
    <add key="SQL_XML_FILE_NAME" value="C:\Moon\Moon.Orm\sql.xml"></add>//如果不是全路径,则默认在dll生成目录
</appSettings>

 

2.配置xml(sql.xml)

 

<?xml version="1.0"?>
<sqls>
    <sqlxml id="getname">
        <sql>select name from user where id>@</Sql>
        <description>查询用户名(描述信息)</Description>
    </sqlxml>
</sqls> 3.使用id进行查询var list=db.GetDictionaryList(XmlHelper.GetSqlXmlByID("getname"),"boy");

5)sql之王者归来

使用GetDynamicList ,让你体验另一种自由

 

object,但在.net 4.0下面,您可以用dynamic直接取值. string sql22="select * from Score";
dynamic list22=db.GetDynamicList(sql22,"Score");
foreach(var a in list22){
       Console.WriteLine(a.ID+"--"+a.ScoreM+"--"+a.UserID+"--"+a.TypeName);//都是强类型
}

以下是体验强类型:)

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" 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