mybatis一对多关联查询——(九)

1.需求:

查询所有订单信息及订单下的订单明细信息。

订单信息与订单明细为一对多关系。

2.      sql语句

确定主查询表:订单表

确定关联查询表:订单明细表

在一对一查询基础上添加订单明细表关联即可。

SELECT
orders.*,
USER.username,
USER.sex,
USER.address,
orderdetail.id orderdetail_id,
orderdetail.items_id,
orderdetail.items_num,
orderdetail.orders_id
FROM
orders,
USER,
orderdetail
WHERE orders.user_id = user.id AND orderdetail.orders_id=orders.id

3.   分析(只能使用resultMap)

使用resultType将上边的 查询结果映射到pojo中,订单信息的就是重复。

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要求:

对orders映射不能出现重复记录。

在orders.java类中添加List<orderDetail> orderDetails属性。

最终会将订单信息映射到orders中,订单所对应的订单明细映射到orders中的orderDetails属性中。

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*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" alt="" />

映射成的orders记录数为两条(orders信息不重复)

每个orders中的orderDetails属性存储了该订单所对应的订单明细。

4.     在orders中添加list订单明细属性

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ufJxoPPYRFpmOKyy2yusjs7GzcZHVR9UmTdeBTbzEpGzs0D5+LzE6m3KIp8ylKGmtwiciqom6NlpfqPjM6D+kSp8jM4WRjq/G5fJfI1I33uSGdRkOO7E9Kj8ia1syYLzJtizWIHBeZOqqcMbw0RaOV+a7wYbCphJ7jqEXjIgs3uK7Ixo4FF0HkImtFo2ZkWgpm4BTZ4K/qoJUaKdiyjGwaocn+usi03GxaRrZwCaDMj8GMzCsyz7Gei0xrcFpGFmgw3BNP9TGRJbtWAlOJU2TuGSi/yJwza4pr6pu92OwzZYwppSsdc4nMmiNrhrQvmSNrEjAtHevLmkxrwgLnjHVPrdpD5vsQll8f+jSTij7l1MyyqSIbzDKxwVCtjlkiGztWnw9ju5SJXmTWWuESkfU7GMZRVLUvqnbBVCnXnOVbtZwsMu8YUC3NirLIguX1xFb9nXnIvGuC3gveXE9UJ/uVJcuyqKyp9MpxrECD/lplbg0Sm1pBkY0eC5NdAHGKbObADeBF6CkyJAgig6tn1hctIEoQGVwzjCovhNhEBgAwG0QGAMmDyAAgeRAZACQPIgOA5EFkAJA8iAwAkgeRAUDyIDIASB5EBgDJg8gAIHkQGQAkDyIDgORBZACQPIgMAJIHkQFA8iAyAEgeRAYAyYPIACB5EBkAJA8iA4DkQWQAkDyIDACSB5EBQPIgssThV7IBLk1k5W4rNtvs5ss6zVUHsdnm1TqN9b9q3aH9unWZL/y568hFVp6EOPEz3vDaXJTIvhTv1xRZo8WVRFbmprus4kUiixxEBm/CRYlsZdYUWZmH8yZEBvACYhPZ41222YrdfSMRsdmK93fd5d8kXIeyy7zEZl88qkVtKBlZu12RkbpFqyU2W7G7t1vrw27EOpyfZljpUJUx3mwYlFfmIivqJp8zBqTDNrPdppKv3D7iqEHL/JgVz2V+FKKJk95g1W0/iuyhtjd2kRXPSqOnoSh/cp6WeIfMEBlximwT8Msh3ylFreb8ZqkOSgtd+65aSt2wyHy1xujF4ro8fRlZW6mtUheZy1quTYOftGRQa2FkuKs2qOrmKVeUVOaq156LbHCZlN6MrC4qs5buMkQGs4hVZK012oeHUkppJmL3uZaUSSllfbO3tNLncVKGR4uG8nw7N7v1eaLxcJQ+H9Iv0pDIlD3rIjOvbo/IlE3qQ73I0ZyTMtdEMzysHzJx1PO9h0xUQ5NukT0XmZ2dMQKF5cQpMnM42dhqfC7fJTJ1431uSKfRkCP7k9IjsqY1M6aLrG2lyHSVhUQWzpnmiWx5RuYVWaWb8ClX1eY21FNujToRGbyEyEXWikbNyLQUzMApssFf1UErNVKwZRnZQsxB4puKbMbsWNfCuhmZLjuAFxOnyNwzUH6ROWfWFNfUN3ux2WfKGFNKVzrmEpk1R9YMaefPkalYuZBr9qvbcUWR1UW2ZHHUKzLnHJk622Wbru1HFU7BWuFiO5hG9CKz1gqXiKzfwTCOoqp9UbULpkq55izfquUkkSlLiJ4JfzVX0lYtPVez2aIQnokw/aFdbYIsAiKT/VKAd/2xcq5amsuaRkVMBnOIU2QvHbiBB8uLvkzw/Hg/sAJgg8iuCUtb1qJDNET+1SuIDER2ZZhDywhTHkaVMJvYRAYAMBtEBgDJg8gAIHkQGQAkDyIDgORBZACQPIgMAJIHkQFA8iAyAEgeRAYAyYPIACB5EBkAJA8iA4DkQWQAkDyIDACSB5EBQPIgMgBIHkQGAMmDyAAgeRAZACQPIgOA5EFkAJA8iAwAkgeRAUDyRC6yf/11/+1v7/41swgArou4RXb/p6+3f/rH3KIJfL39dkpRYLfRUgB4M6IW2T8O3pzLKPp6+60vfI37iozt9m4LjgUAr0rEIvvy999uf//XL5OKfGmUbaWwg5o/puxjg8gAzkW8Ivvl7vdfH/45sWi6yJwNjkrK2JmMDCAqohXZP3/YfvvD/dSiiXIJi8xIu3ztkJEBxEasIps5zU9GBnDNxCmy2Z+6WHeOzLmnr83R7QDw2kQpsjnT/A2rDC0DOyw4FgC8GTGK7B+Hb33T/L6iFw4t7R0mSgp5AcRAhCKbN83fMEVkE7Mt5852O87R6Gj7APAaRCeyX+5+//X+77/MLHoNkYXnyJymw2UAZyE2kS35cqVTH75Z/DCjGZlhNMN0iAzgLMQmMgCA2SAyAEgeRAYAyYPIACB5EBkAJA8iA4DkQWQAkDyXJbJytxWbbXbj/JrmfKqD2GzzaoWW6iITIi+NLVlRr9A2AFyUyL4U79cUWaNFRAYQPRclspVBZACJEJvIHu+yzVbs7huJiM1WvL/rrvYm4TqUXeYlNvviUS1qQ8nI2u2KjNQtWi2x2Yrdvd1aH3Yj1uG8jImsLjIxoO0oy9xdUuYiK2qlWK/mpsyPIn/yPayLSohjFye9G6ehSKkiy5PIHmr5lHelRjeap4az4VWJU2SbgF8O+U4pajXnN0t1UFro2nfVUuqGRearFSIssjL3WUivpz9qDdY2Yh/BSUhk5cmU19CNSil6LjKj1lGIqutGZTSCyOANiFVkrTXah4dSSmkmYve5lpRJKWV9s7e00udxUoZHi4byfDs3u/V5ovHQw7jInBKyxp+q8spc88O0seqYyMx8SkrZmCsrnpVWFOWVp95iUkpZP2TqQ4A3IU6RmcPJxlbjc/kukakb73NDOo2GHNmflB6RNa2Z8TKRSW1sqWxVR5XW8NKfxwUIDy1l/ZB1I0TFXMOw0THw9OdxAG9G5CJrRaNmZFoKZuAU2eCv6qCVGinYsoxsIpZ1fBqqi0xMGHOOFfr7ERTZ0I2HbHDZU+7O1JomEBmcnzhF5p6B8ovMObOmuKa+2YvNPlPGmFK60jGXyKw5smZIO2+OzBwIBma0tFQtNPO1SGTqHFaZWzP3A9pw0p75UroxIrI215zdU4AZRC8ya61wicj6HQzjKKraF1W7YKqUa87yrVpO/uSaNlBULmx9ydKc6DJK9cn+BXpQxon5U11Uvcj0JUt9UswqnbJEoD8BTAavSJwimztwg5hpTIbI4BVBZPDKlDkfv4DXBpHB68GoEt6I2EQGADAbRAYAyYPIACB5EBkAJA8iA4DkQWQAkDyIDACSB5EBQPIgMgBIHkQGAMmDyAAgeRAZACQPIgOA5EFkAJA8iAwAkgeRAUDyIDIASB5EBgDJg8gAIHkQGQAkz2uJ7Ff/9TuCIIi3CURGEETygcgIgkg+EBlBEMlH5CL7YfdJ1j/+4Cr6w5//LX/52x/OfgYJgjh7xC2y7z9K+fGds+iPP0v583fdw4lHtHdTt9hPwfek1jM1QRArRNQie/fBl4797rufzXTMqR67MwEf2UW+nSceiyCIt4mIRfbNbS0/775xFf2m/EV+/vNvRlqwPRXurVNVdmtT/iAI4i0jXpF99eNn+eEnZ9Gv//ZZ/vyX0RZskYX/dorMeFLqzoiMICKJaEX2062Ut987i/5ylPL4x2GL76C2yMK9tTdKv9p+RUZGENFErCKbPM3fh31QuUZGFqjyKk+cIIj5EafIlnzqYorIwr0dVZWxW+APgiDeMqIU2aJp/lGRjRY5RWZvmaI2giDeMmIU2bsP0jfN/93P0jfN71NP//doh51bnK0ZW+w/CIJ4y4hQZDOm+dWwjxvohrMooCr7b/VwiIwgzhvRieyrHz/LT7dfuYp+/bfP8t/lrz0VwxqaXuTbRypZW79lVYMTBLEwYhPZOl+uHO3GaA+lP/8KNILICOIsEZvICIIgZgciIwgi+RgX2dm7SBAEEc6cEBlBEAkEIiMIIvlAZARBJB+ILJH4/qOU3htJRhWBr15E0uDU0/v9x/4F7/kMNqc3ltN7TSJrTpzn87Tz46dbud4rIPAFUqXz80QWuEfI6FlqWPTsznmlLXvKI6c38GWSMwSn1xlXJLKvfvy8psiaC/7NRLawh2Mvu29ua2Wfr378rFRZaOokr7RQuK601/h/cXpfEFckspXjAkRmvE9+c1sbL6lFvbqSK+3dBynPkaldyemdG2mJ7IfdJynlx3fD8Ge4zJqE6/b7LvNSLtF+i5RaRtZuV/6L6hatlpT9v9DaLt2NWIcLRUAZwakEvTOhHhqJfX+6gi/Tn277it9/lJ9uv2rSNLsz6oBUPxveseqqDY4/ZbWW+k8Zn6nxXmnNQWeN972vDU7vhBd24Mzb3VOJU2QG2tV7+0H9D7Vq8Jul+Tf3p6lp31VLqRsWma/WyFMbz31c/+/wO6S/9N0HKa3Dub6Qr3y5tX1FqidHPfPDgdR3eL3oh90n5ZpZvcHAU/7mth52cw6ZA3lBMGX45rZ2tOaOdx+sF1t/wjm901/YlyOy9jS1D5uzYCRiTeavvWk0rzn9WtUSk9Bo0VCeb+dmt94RxkN/LBeZ/xpzvxq6rNb54hgRmdLDocNmx5QLw/qSv9ql1Rv0PmUzXIOppSLr/8ujb1fhkTun13zpzhtvpigyczjZnPrxuXyXyNSNVp4ypOUdYyJrWjN5NZHpR3Qtb8/MyFxDS8Xynndj74Vhn0CpX2mrNhh6ylYu//YZmeNfzOld9MJ2haPjCpGLrD3vakYWes5OkQ1XtfG+aqRgyzKyybFYZPqzC72d6uGYI7NTBvVd3dta4B0+2OfVG/S2qQ/iVszIZn0mZjwj4/R6z9voSU5RZDrdGfSLzDmzZmTdsv5kXNhT3p0Uuv9cM6R19jAULxeZPS6wrxzH61Krok/iKDP93hdxV6t9jsbY35nl/e61GvQ+Zdfk0YuvtAWrlo45Mq1XnF5nOO5CaC/T+UzVEL3IrLXCJSLrdzCMo6iq/vEne2pJc5Zv1dJu1v8ScdZymNGzsGA/d3UH93ua/jky43Bja5raa7E/ivHbyebZmHDpLmww8JTV0/vp9p3SYOD0BooWf1zG95rh9KpFoy/s7ojDE7Ta0ohTZOf5ICJBENGEuWaFyAiCSC2sWRFERhBEQqF96KqPtERGEAThiJeKDAAgchAZACQPIgOA5EFkAJA8/w9Ku407cPgYFgAAAABJRU5ErkJggg==" alt="" />

5.    mapper.xml

5.1   语句

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DDAAAA8iCHAQAA5EEOAwAAyONOc5hy4/2l1p9z9QAAYA3IYYtqqqKoGmPqsvsfcQwAgPtFDsuw5l1RlmVZFsLTlQAAwP0gh+XAsywBAMBGc5jzpG87z9Tlrqga63neTtbyngJuT7Mnee/HC3QfOJ4Y65qqsNrDCGMAANyx7eWwurRDTxtrTmmmy0vd66Yq+jntn43bHuZOcl/FC5zWpMb4MAAA0NtaDvPylHH7+OrSaWI6T/JDk/U66CO0540W6OfBkQhgAABgkznM68yzclOsjSpIb94ygbRGL6tjkg5GAAAw1hZzmN4eJsYmpT1MjVqJnY9u7ygAAECKreUwcXyYM5xLjk1WB+OpFUseHxYultKBGGmmGx/Opi0FAAC2aHs5zHhdiZFmLmWhomqaqrBndK98TAp23iJhcurWN3YYGEEMAIC7sckcdtPaG72SwwAAuH3ksHVpm9m4lhIAgHtADlsPuiQBALgv5DAAAIA8yGEAAAB5kMMAAADyIIcBAADkQQ4DAADIgxwGAACQx9ZymP58yeA29+c5g8d598t4U7hvBAAAWMZN5TD30ZMu/dGT7vMqiWIAAGABt5TDrGd5hxJzmPrUbwAAgBndUg5TnwmUmMO0JjWtPO+l2z3qlmf3g3oPKS+qxppsV6qoGmu5eIF9Dm2qYldWbTXOC3s1lssDAADLuKUcZqxwEbSLBePD3Og1OpJoOSye+dzqu6+6enQ1t6e5Icpt9muqwhsE175sk2BRNf0PVrW0agAAgKXcWA6zZvLSWEp7WHwebanwZbRRLairvZjXreqNe4u3vcm16hc/77F+oloNAACwlJvMYdasTkvZcL9k1zeYYCAbWR2TXhgM2DksZQSbNKAtLE/LYWo1AADAUraWw8K0ktgJOGJ8WFIiSW2jctKgWvqUHOZf3pnWHkbzFwAAq7C5HBYOj9LSS0rACpuXvCaxtvlI6vsUx295nAK1oViTc5g3wmw4hw2PCBM3GQAAzGt7Ocx4/WrxW7UGQ6DkqX7+CUZ3RWKWc/1iUxX9DF5PYWzwml//af2SdnFFVffVUHOYVg174whiAABc0yZzGK6vLslhAABcGTkMAvVWbAAAYB7kMHjokgQAYCHkMAAAgDzIYQAAAHmQwwAAAPIghwEAAORBDgMAAMiDHAYAAJDH1nLY0HO+vdvEx2+2795PP377ewAAgCu5qRwWPJHIkvjUIP/B2QAAANdySznMfQK4Z8xzvrmRPAAAWMAt5TD1YTyJOUxrUhPrEnlQtt3Z6T1b2+9EJfQBAHCnbimHGSv+BO1iwfgwN3pF4pQiHuzcOno1Pjfa0fIGAMCdu7EcZs3kpbGU9rD4PJHFxLmDCnnFtptQap2oAADgHtxkDrNmdVrKhvsl63JMOLI6Jr3EFxB6LWkKAwDgzm0th4V5KrF/cMT4sPEByYl8Q0W0wbGmVxIAgHu3uRzmXRWpDLJyG53GXC/pNYm1DVxqO5mzlDbwy05s0vWdCesCAAA3Yns5zHg9f/FbtQaDtOSpfkILOg27Rd1k5d0wNjZCzalkW5BVTvAGQQwAgDuyyRx20+qSHAYAwH0gh60LtxQDAOB+kMPWgy5JAADuCzkMAAAgD3IYAABAHuQwAACAPMhhAAAAeZDDAAAA8iCHXZ3ynKNpT1ECAAC3YWs5bOg5396N7OM323fvpx+/M/7lyGEAAEB0UzkseCKRJfH5ks4Tu+dBDgMAAKJbymHSc7N7Y57zPW82IocBAADRLeUw9ZlAiTlMa1ITl4x0Z3qdncJjw4NJdbkrqsaaLDz/W5jgdcUG+ya2GAAAyO2Wcpix0krQLhaMD3Oj1/iw0lSFN/rs9NKro53zlEmnenQ1t+d0l3Jf0doGAMBm3VgOs2by0lhKe9gFwcVa1C8lbVLQreq28zlbaC+mNOCNatsDAACLu8kcZs3qtJQN90t2fYPpVQmb0oIanstXJmk1DJryvHY7qyJ+5ZVJAAAgt63lsDCtxAOWE3tGjA9LaULyr6ucqT0smsOSmrWUiz2vcB0oAAC40OZymNd9p1ze6HbLjbleUhxz774ZDtJyI589yittUmqg1ETbBpO3CwAALGd7Ocx4HXXxW7UGY6rkqVIjlXSBoxeE7G7JoqqrQqxJUTVN4iS12cvvBHUG/subrExy6kIQAwAgk03mMMykLslhAADkQw67X+r91gAAwNWRw+4TXZIAAORHDgMAAMiDHAYAAJAHOQwAACAPchgAAEAe5DAAAIA87jSHXfBE74UKjKwjuMTRuj/t6PWv//ZhCTVcYs8DAHAd5LDFC5y8bi2UTCo0VuB6og05DABw08hhixd4leAwa6GbijabqiwAAA5y2OIFksNmtanKAgDg2GQOc55gbfda1eWuqBprzJTzAe096lt4lLf0/nwF+s/qDh+/bS/lbdfAILCRaSRS4Lga9ks2VbErq3bZomqC56K7xaZVU99kZc8DALAd28thdelHgHNS6D6eu9dNVfRz2j8bN7a4k9xXsxdo4pGpqQq3vGAuJWxNaxWKLBV5O7pdbc4qqqb/wS7iogYrYWFlzwMAsC1by2FBqjFNVfRBrC6d5pvzJP/D2nptL+9Pm79AYVGZNFfeHBbfrn7K+bfj5bDJSSmsirLnAQDYmC3mMO/6uYSmF61Nyuvicju6Zi9QKTPsFVxXDotvl57D3C0beZuMoCrJzYsAAKzfFnOY3h4mfiYrjSjq5/jsBUanux2sa2wPi69iMIc5c46KYrSHAQBu2dZymDg+zBnOJX8mWx2Mp8YZeThXuNisBUYnS+PS5shhbUnj7joW2YDodqXnMKk9UyWUo+z58wwrvz8tAADGmC3mMOP1kKW2jZwX6gaUWzP6PYIJwW5igcHUc1xw362tAoUewYRJzgzim2NrGNsuNYd5iyTGI7WG2p4/TyeIAQBWb5M5DFAl3IYfAIAVIIfh1rQtcIwZAwCsHzkMWYhXX47pudSKpSkMALAN5DAAAIA8yGEAAAB5kMMAAADyIIcBAADkQQ4DAADI405z2OwPw1ni6TriXbGs6w5Hr5/bbAEAkBU5bPECJ69bi02TCo0VyCMbAQBYBDls8QKvknJmLZQcBgDAIshhixdIDgMAAMaYjeYw59HRdr9aXe6KqrHGTDlpwruFu/+A8Mj78xXoPyQ7vHu8vZS3XQODwEZGp0iB42rYL9lUxa6s2mWLqgkeLe4Wm1TNdseL1fQ21X2iuFYNAADWZns5rC79CHBOCt1Hb/e6qYp+Tvtn436Wu5PcV7MXaOKRqakKt7xgLiVsTWvCiiwVeTu6XW3OKqqm/8EuYvrQNacI55cczWHxagAAsD5by2FBqjFNVfSf0c7ntT3J/zy2XtvL+9PmL1BYVCbNlTeHxbern3L+7Xg5bHTdlH2m5rB4NQAAWJ8t5jDvCr+EphetTUp84HTkM//yApUyw17BdeWw+HYNBiBryxJvk0EOAwDcgy3mML09TPzYVZqv1I/q2QuMTnc7WNfYHhZfRXoA8rcytWbkMADATdpaDhPHhznDueSPXauD8dQ4Iw/nChebtcDoZGlc2hw5rC1p3F3HIhsQ3a4RAUhoz0zZntjwO2cYWUI11L0BAMDStpfDjNdDljIE3l2oG8ltzej3CCYEu4kFBlPPmcB9t7YKFHoEEyY5M4hvjq1hbLvUAOQtcnm/pHe153nPp8RBghgAYE02mcOAqeqSHAYAWA1yGO5I2zjHiDEAwEqQw5CFePXlmJ7LiWukKQwAsCLkMAAAgDzIYQAAAHmQwwAAAPIghwEAAORBDgMAAMjjTnPY7M+7WeIBOuKtr5x7ml53/UJ1Mt4BIuFGYDzVCACwcuSwxQucvG4teWSIHOQwAAAuRA5bvMCrpIP7y2EJ1l9DAMCdI4ctXiA5bCnrryEA4M5tMoc5j462u6bqcldUjTVmSnjGszicyp7kvT9fgf5DssO7x9tLeds1MAhsdORYyT5090naFuh7Q6khAAArs70cVpf2p2tTFVaM6D6Du9dNVfRz2j8bN7a4k9xXsxdo4pGpqQq3vGAuJWyNy2Er2YeXNVgJCys1BABghbaWw4JUY5qq6ENEXTptO+dJ/iey9dpe3p82f4HCojJprply2Fr2YSRtpgo3WakhAABrtMUc5l0kZ33aKk1N0U9o8YHTQw02kwtUygz7La+Yw1awD61id3aLWaqg3OSWRwAAVmKLOUxvyxE/eJWWEvXDevYCo9PdzsHM7WHL7EOhVmOiGO1hAIDN21oOE8c2OUOR5A9eq3Ps1AIjj20KF5u1wOhkaUzVHDmsLUlo/lrBPnQJzXQqoVylhgAArND2cpjxusFSG0DOCxVV01SFPaPfI5gQSiYWGEw9Jw/33doqUOj2S5jkzBBsxBr2obdIYghTN1mrIQAAa7PJHAYAAHADyGEAAAB5kMOwNuLVl2N6LgEA2AhyGAAAQB7kMAAAgDzIYQAAAHmQwwAAAPIghwEAAORBDgMAAMgjaw4LblDQ35fAm+Lfr8Ce7N1L3b8/PfdTBwAAK5U9h8UfZeg+/7DPV8KDGNtX3VNyTjN6LwEAAFZmCznMjl7hA6X7x0M3VbErq6pok1dTFWVdl+QwAACwVlvIYVabl7RIXbatXu1TnZuqKOsuhhlyGAAAWK8V5zBpCFjf+GU5vdfmsDaBdWmMHAYAANYrew6Th+OfE1rYQxnLYafQ1VRFURRlHSwMAACwJtlz2HC/pN2oFQ4PO8/bz9c1jKkrAAAAyG0DOcx5EQax0/AwqRPynMgAAADWZgs5zO2NtEftWylM7bIEAABYn03kMCl8BWP4yWEAAGBbeK4RAABAHuQwAACAPMhhAAAAeZDDAAAA8iCHAQAA5EEOAwAAyIMcBgAAkAc5DAAAII87zWE8eBIAAGRHDgMAAMiDHAYAAJAHOQwAACCPTeawpirOD/q2n+Ndl7uiaqzngDtZy348+E54jrj8frxApxrEOgAAMNL2clhd2qGnqQorinV5qXvdVEU/p/2zcdvD3Enuq3iBNKkBAIALbS2HeXmqe+cUxOrSaR87T/JDk/XaXt6fFi/Qz4MAAABjbTGHOanJyU2xNqogvXnLBNIavayOSa9OAAAAg7aYw/T2MDE2Ke1hatRK7Hx0e0cBAABSbC2HiePDnOFccmyyOhhPrVjy+LBwsZS+x0gzHeEMAADEbS+HGa8rMdLMpSxUVE1TFfaM7pWPScHOW0TIWwQxAACg2mQO24i6JIcBAIA4cti1tA1mXFAJAABiyGHXQJckAAAYRg4DAADIgxwGAACQBzkMAAAgD3IYAABAHuQwAACAPMhhAAAAeWwth+nPlwxuc3+eM3icd7+MN4W7TQAAgGXcVA5zHz3p0h896T6vkigGAAAWcEs5zHqWdygxh6lP/QYAAJjRLeUw9UlCiTlMa1IDAACY0y3lMGON9QraxYLxYW70EkaUAQAAXNWN5TBrJi+NpbSHxecBAACY3U3mMGtWp6VsuF+yLhmkDwAAFrK1HBbmqXjAcjLbiPFhNIkBAIAlbC6HeVdFKpc3ukPux1wv6TWJtQPIaCcDAADz2l4OM97I+vitWp3kpN/H1U5o4SWTBDEAAHAFm8xhi6tLchgAAJgbOWyYel8yAACAichhOrokAQDAtZDDAAAA8iCHAQAA5EEOAwAAyIMcBgAAkAc5DAAAII87zWGzP75oiechiXcxs+5Py501AADYFnLY4gVOXrd2N1meiwkAwPaQwxYv8CqRiRwGAMD2kMMWL5AcBgAAjDEbzWHtg4aEp3nX5a6oGmvMlPC4bnE4lT3Je3++Ap1qDz6M3NuugUFg5DAAALZnezmsLu000lSFFVm6vNK9bqqin9P+2bixxZ3kvpq9QBOPTE1VuOUFcylhixwGAMD2bC2HBanGNFXRB7G6dNqRzpP8mGK9tpf3p81foLCoTJqLHAYAwE3ZYg7zLhm0IojS1BSNTV7notv7N3uBSplhvyU5DACAm7bFHKa3h4lpRGm+Ujv90w0AAAa3SURBVBPM7AVGp7sdrLSHAQBwB7aWw8TxYc5wLjmNWB2Mp2YneThXuNisBUYnS+PSyGEAANy07eUw4/X8pQyBdxcqqqapCntGv0cwIdhNLDCYem4Cc9+trQKFns6ESQAAYOU2mcMAAABuwDZz2PP/+Dn1ZwAAsFYbzGFtyOC/Kf8FAAArtrUctoYWpq38DAAA1m1rOQwAAOBWkMMAAADyIIcBAADkQQ4DAADIgxx2ddzq3pjuhrPek0GFWe5kR93x3ph9u5bYUeLvy7qH8sK/qMx/Gyv762VvYOuy5TDruUDum2UtPPnHnju4hXxfjDfFKT6+1LVxEBrD2co1995o/7rdAoNnY/Ul+k97WOxQcGqRocDJ69Z+Xxn+bEkeudYVWf2K9ga2KFsOsx/P3avLXVE1CTks/sxH98mT5zXkOxQ4CBOxo2xj9kZd7oqqKsNvHkVRCIeAd3wlfJDMaJM5bPFCV7fKke4ohyVYfw2R1+3msORHgF8bB2EidpRtXLwoqsZfon1Zl86zSKUcNvhk+lmRwza5ypHIYbb11xB55Rsf5nwqtBnr9NMsOawunV6ZqYeC04djB0frw08YI+J1g/oPI4+8Hy/Q7UpK2hDxYzmpwEk1VOsRn1/ZUbO64b1RnxrC3I3qXp2DWDyHpQexlRwOYwv0e2KD6jtLeds18NsYfWZZyT6ccEq5xl8vewNYQQ47d4s0VbEr68hZMz4+zI1ekT/8+FIDdYz1dHYFdq/tDzKh28f5PHAL9GsvFDgtRGrJI17gxBqOro5QQtpWBr/IXVKn2o3uDWPFsMhWNVXhxTShrvYXHbXSKzgcJhbo7x9LUxVuecFcym9j3MG5kn14WRPNqL9e7YC9v70BCPLlsFPoqst+aIuTwy5qDwvnmXAoyM0GdjWsT67zJH9N1uugM9aeN1pg5KNhyFDyiH0iTarh6OoI71z1bHWze8OKYZHPllMQuzCHreVwmFqgsKhMmmumHLaWfTjxlCKtQ34naaewNwBjTO4cVlRNXe7KU+fJ6SNljn7JWhi1PCGHeZ9N3te82Gd37CCUvhomfiez2ggTP+0HPoPkAi+o4bjqjGitmMWt7g13NrsU9++uPbxiOSylNW8lh8PkApUywxb4K+awFexDq9hRpxRh/cM1jGNvAMaY/Dms6kav1OWurOfMYdO+Cgc11L+uiQUqX4bUSiTW0LsONC51BzgFzlHD1IWnfWuUTrUX9kvabmBvdIt530rKOp7DkjpV13I4TC0wOt0/orK2h636lBIvd6CG8gF7j3sDEGS8j2t3fJ6PoKIoZsxh3retSYeC21wdjjaIV8MehGCVoX3gpdYw8i0yOHf4bSPCt3yhwDlqmLqwsqNmt/zeEH8pysJT9kZYzLnGzrSmKoriNEUYRJO041dyOEwsMDpZGkU0Rw4T/wBWsg9d4/rUZzyWt7I3ljiWccey5zBvWKb8fT3IYXJriPQ1JPqtbETvntfQIK9MXqiomtOot47fBZJw3vEWCWseCRZW3cvaroZe4IQaKoSvw+cytB01t6X3hvhLmXdvSFXoDx6hBdA+vsQaDFrD4TCxwGDq+RftvltbBSq/L/VXac0QbMQa9uHgKWWgEkL9Jx7Lm9gbCxzLuGc81wgAACAPchgAAEAe5DBcSBwqPqa3A8AqcCwDGZDDAAAA8iCHAQAA5EEOAwAAyIMcBgAAkAc5DAAAII/JOexYfXguvhwvWvnh5eHpqf33/nBRSQAAAJszNYcdPu+eP890h+DD+xlz2OHl4enl60yFAQAAXI+aw45fikjYqj9f3Bh2tkgOO34pnj9Uc1UZAADgYvEcdvi8e46ErZkzzULtYfXn593zc0kHKAAAWAc5hzVfPiiRpfnyYffZn/b9bd8P9vKTkDUO7OElLDSSw7Sljp/2/bqe3r0dgwo4k7ztmq8lDwAAYDohh9Wfn3dac9ehDCNavBXq+9vemnT8tA9DlZDD1KUO7+U8N1CTU2FfiufnMEcCAAAszMthx+rD88AAfHGE/uElcs3j8dPebZQSclKYw7Slvr/tH/Zv36PVSxmnfyifn3cfvvDENAAAkNHY9rD47SqOb++E3sDD+6CvMCGHaUt9fYk3hhnawwAAwGaMHB+WMkL/+PbuHMVSxuDLOSy21NeXp+ntYcrFBwAAAMsad71k/TmlJcnpVXRHeslrGhof5hVv5zx5qpjhuF4SAACsyqj7h0kj9I0xwbWKXkjyr2Q89Sp+fQk6H60Ox9hSxjh9oPrqzpO4fxgAAFiZEffTb758YGw7AADAXP4PqPcTlpJ864UAAAAASUVORK5CYII=" alt="" />

    5.2  resultMap定义

<!-- 订单及订单明细的resultMap
使用extends继承,不用在中配置订单信息和用户信息的映射
-->
<resultMap type="cn.itcast.mybatis.po.Orders" id="OrdersAndOrderDetailResultMap" extends="OrdersUserResultMap">
<!-- 订单信息 -->
<!-- 用户信息 -->
<!-- 使用extends继承,不用在中配置订单信息和用户信息的映射 --> <!-- 订单明细信息
一个订单关联查询出了多条明细,要使用collection进行映射
collection:对关联查询到多条记录映射到集合对象中
property:将关联查询到多条记录映射到cn.itcast.mybatis.po.Orders哪个属性
ofType:指定映射到list集合属性中pojo的类型
-->
<collection property="orderdetails" ofType="cn.itcast.mybatis.po.Orderdetail">
<!-- id:订单明细唯 一标识
property:要将订单明细的唯 一标识 映射到cn.itcast.mybatis.po.Orderdetail的哪个属性
-->
<id column="orderdetail_id" property="id"/>
<result column="items_id" property="itemsId"/>
<result column="items_num" property="itemsNum"/>
<result column="orders_id" property="ordersId"/>
</collection> </resultMap>

6.    mapper.java

public List<Orders>findOrdersDetailList () throws Exception;

7     总结

在一个里面添加多个list集合。

mybatis使用resultMap的collection对关联查询的多条记录映射到一个list集合属性中。

使用resultType实现:

将订单明细映射到orders中的orderdetails中,需要自己处理,使用双重循环遍历,去掉重复记录,将订单明细放在orderdetails中。

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