21Mybatis_订单商品数据模型_一对多查询——resultMap方式
这篇文章延续订单商品数据模型,这张讲述的是一对多的查询。(用resultMap)
给出几张表的内容:
User表:
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" 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orderdetail表:
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" 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orders表:
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" 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items表:
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" alt="" />
在SQLyog中写一个sql语句 (先验证成功):
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
结果是:
aaarticlea/png;base64,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alt="" />
其实我们要做的就是:把上面查出来的那个数据表每个字段映射好!!!
好,现在开始:
先给出需求:
查询订单及订单明细的信息。
我们由前面的文章知道查询订单及订单明细的信息是一对多的关系。
我们还是按照:1.sql 2.pojo映射类3.mapper.xml和mapper.java接口这种顺序。
1.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,//别名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
这种sql查询出来的结果是:
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXIAAABvCAIAAAB+edyvAAAODElEQVR4nO1dvWojzRLt5zFWZO08wZeYm1ixLRaUODT7BoIBwwQGv8AGZgODYBV/sWEXbXDhIr7kpoYNlGyk/N5gZnr6p6qnenpsearrUIHU2911Tv+c6RlpZfU/gUAgGBXq1AQEAgE3NLay/++rhISERGKIrUhISIwcYisSEhIjh9iKhITEyGHZylogEAiSYdnKP//ZTTpqSSenIeoylJNz+FNp2cqvn39PN0x5Jycj6rKSk3OAUym2Mo1gpo6ZnJxDbGXCwUwdMzk5R4ytbG5n6vIR6uXxSinknz6gvPeLNx6xcdV9OVfq/DbfyaIHPq0SdYx2Wvly/hEH+iOv1PQRG1tducjBVja3s6ty5JoSdlBt5fFKKeVdYB8u61J1VU7CVrozQs1c76LN7axRcjlrhXy/O2vK1NmXTd1huajfPtT1Q5LfYcQcdd/vzpQ6m51bnCHJtQpNQ1cuF+e3WvXiocmSOA5pa1FTPVtcXTYkodQQSaNQT7Qe/1Y+qhGp6U0rNpgwpUwCXJnoacXaCcZRcEI3QYaE7uL8eGUupsvHWp1pOsZl/PGqXSgPl7O7r2ECbzpivrrHq3YDPFzqnQBIbpl8OVezu6+tkHLR7cByUWscaRyGTlbrbpvbmbE53dQYyYdSm07H0D+DYM3x0wo4rdZg4uOWQ4Ark2Qr3+/O9AXt189yMWVbMS9NtSjjUuNecDoPIsSbjhg0ecaBolUH28pV2f1TZysGpYfL2d3XscZhiBx8VzupMZJmecBWUI10W/EGMzBuOQS4MvOzFR36woJfgbOylbHGYYgcsq3AJM0Hq2YFv1tMY4KtjHWCm2gMtxVr0PW9wwcLyFaaFWl88GFsp+68im77wbYy+oiRbcWTjNpKd1VvW40zDomT9evn349XHTcvNUTSGO3m9gSY4vpwimgEaoamNeTRmQXRVoznUsaJrn18pZS6nJ3640miPH2/M7u7XTSP4ix13eqxHtq1D1yMouDl6D1GDHowVlNts+vnLJbky0XLvzEarfT89su5py5pHNImy0xUa8FS+ySN0Z6dn5kz25UHm0M1/WktwcFcPKB95hDgypSvw00jmKljJifnkG/ZTjiYqWMmJ+cQW0kL+0yuYd6HT1gds8mSeK/otxXKf4L+yKHlsQxm6pjJyTn8qbRsZS0QCATJsGxl6tA2yRLM1DGTkzOwqWxs5fX3n3Ac/vWXhIREDtHrBjpqWzFLxFYkJCSAEFuRkJAYOU5gK/SUbxRPN/XHu5/WP0Lyphmba6WU+vyETh5coR0TqzytMCJRbHhy3Nkk8nlZf9If9l+s/x1OivfpZic31xx6RyM8mL3ZQZ4DyHc1waHL11aebpS62bz+/vP67XPzApE3xVhfqOtvf9YXqK2AFV7Wn/SY6CWSWEhPNCAcOc1sXtwP4EOkEejTyU5v/vr7z+vvzfXFvT9flGnFVjLW3OFJJw8mAoduDFvZTNJWuuBoK3UEbAWsYLzdXHfLLqmQnmhAQJM1hA/dVvqY98jBmr+sP4GXAeK0NmGv5Poc0VgGiadLCW3+Drby7fNkbeXH/YV3pBRbcV4nFtITDQh/sur92ZsFOD21QPYhibmZPaL5j/uLi3v6UADVoJUc8AWQp1MIN/cSgUOXbitPN2qytlKHnFagt1O0lZf1J/MYT+djxOa63jPN/tFoniYE+rSyxzR/ugH+NWpam+i7CQJHKVCIBpyoHboxbGV9MXVbsedJbOX1958p3gQ93SiFJu3hQ/ynQJ9+dnrztelAcZ3Ekcd4Esn3JtKF2drK5lo/zbafVOVsKy/rz82Y/Li/7h7EJhXSEw0I85Gtf/0k8zEWQ3s/ggXYJ5id3jwwX4RpRVeyfxcD8sTIe83BRPDQZXwT1B1TGX7AbF0AFXAWgyuAY5JWGJEoPho57h1HKEsqH78mlp3YvIn2U96eJ74R5F1fAHni5IFnK+RJz/uRLUUer2CmjpkcNiEfMPfKYxXM1DGTwyby/TocXR6nYKaOmRw2IbbSL49TMFPHTA6bEFvpl8cpmKljJodNjG8rvb8up1Oe/HfuJCQk3iJG2eOWrfRCpyTWf2doPSzBTB0zOWwwYI9jU9nYyrEPOmVvzZOglndqFm8FZuqYyWGDAXvcn0qxlcmAmTpmcthAbMUF75XKTB0zOWyQta1sV/WXjotq3xVyWam1uNXWLjXUwRXaMbHK0wojEsXCk+POJpHPvir019et9hDwPimtUeH7qiCMRngwydytmgPIdzXBocvXVrardna2K3OaeNhKVajV9lgVqK2AFfZ16fF43K70EkkspCcaAEdO3aEqqgF8iDQCfTrZ6c2P7Xt/vhyA5LGVjDV3eNLJg4nAoRvDVraTtJUOHG2lRsBWwArG2+2qW3ZJhfREAwBN1hA+dFvpY94jB2u+rwrwMtDXiZvcXMn1OQKt2kc+1PwdbGW7mqytNAc4a+jEVpzXiYX0RAPgT9be6I7OxzzJh9mEme/7xMDN91VRVGCHvZ3YAgBRYI8gT6cQbu4lAocu3Va2KzVZW6khpxXo7RRtZV8V5jGezsdAuxrM7WI8Nwj0aWWPaa7vh8Y9rWBwRilQiAJO1JWm20pVTN1W7HkSWzkej1O8CdqulEKT9vAh/lOgTz87vbnlQHGdxJHHeBLJ9ybShdnaynaln1vbT6pytpV9tWrGpHuVWkhPNADmI1v/+knmYyyG9n4EA9gn6TOcPkoeKxQoeXsl+3cxIE+MvNccTAQPXcY3Qd0xleEHzPYRHDiLwRXAMUkrjEgUj0aOe8cRypLKx6+JZSc2b9B9dBtoHUXe9QWQJ04eeLZCnvRTPrKVkJDgHcNtZfAHzBISErwjwVaGfh1OQkKCd7yfrXxw8Hi2goGZOmZycsYQWzm5a0pISJwkxrGV8K9FSUhIZBVv+OtwJ9cmISFxkgjYgomeX4c7gNBpPjxqeadm8VZgpo6ZHFaI3PL+VIqtTAbM1DGTwwpiKyZ4r1Rm6pjJYYWcbWVXzpVaPhslXFbq81IpR9rBUgdXqEud8rRCMBGcPRaeHKXUvNxF89mVc/31das9BLxPSuvwuBGTY7NG5m7VjCB/ALYMMpUZ28rzcl6Wc4a2Us7V8vngSDsY6sAKu7r0UA/MbpRCMBFGLxaOnDq1mpexfHblnLSlgn062enNn5dKF4adFiQf29zhSSd/aHmbBNCpTLWV56nayq6c+yPCw1ZqBGwFrGC8fV52yy6pEGOCFUYBmqwhfOi2EugTLyQ37/MFr5NQ8/oIhlbtIw82B7cMTCnRVp6X07SVXTmflwdvRMRWnNeJhRgTrDAK/mTtjE7pfMyboDCnQJ9O9rjmDQPSgABJoOYBWwF5OoVAc2TLwJTSbOV5qSZpK/oQKrYCvp2irezKuXmMj+VzOBy6K77pNMZzh0CfVvb45mbyMIinFQzOKAUKve7hLQNTSrOVcj5NW7Gm3RhQsZXD4TDFm6DnpVJoUhIfCiusTz97VHNi9t46vc1BnmTy8JaB8+ZpKxpyWtHYlcvmCUP3KrUQY4IVRsF8ZOtfqMl8npf6Q5D2nI8B7BPMTm5uZCc9NMXJ2839uxiQJ0Y+cA8lN0FhdB/M6SIetmIfwbspt/ahX6E7uhtPMNMKwUQYvVg0ctw7jpCcCOEg/JpYdmLzmOxR5F1fAHni5BFbcbcMOpWZPrJFwMNWMDBTx0wOK2T7ATMI3iuVmTpmclgh46/DAeC9UpmpYyaHFcRWTPBeqczUMZPDCmIrJnivVGbqmMlhhXFtJfzrcIN/KkpCQmJCkb7lLVsBEftTUSeE1sMSzNQxk8MJI/86XPgnsom/l3tC/MP6x9yZqWMmhxNit7w/lWIrkwEzdczkcILYigXeK5WZOmZyOCFrW9lXhfPnq7ms1PpPhbt/ZtxQB1do/8K4VZ5WCCaCs8fCk6OcP29O5GP+gfPevzWP90lpHR43YnJs1sjcrZoR5I/AloEp5Wwr21VRVQVDW6kKtdoeHWlHQx1YYV+XHuuB2Y9SCCbC6MXCkVOnVkUVy2dfFaQtFezTyU5vvl0pXRh2WpB8bHOHJ538seVtEsCmMtlWCH/a/WPayr4q/BHhYSs1ArYCVjDeblfdsksqxJhghVGAJmsIH7qtBPrEC8nN+3zB6yTUvD6CoVX7yIPNwS0DUkq1le1qmrayr4qiOnojIrbivE4sxJhghVHwJ2tvdErnY94EhTkF+nSyxzVvGJAGBEgCNQ/YCsjTKQSaI1sGLEm0le1KTdJW9CFUbAV8O0Vb2VeFeYyP5XM8Hrsrvuk0xnOHQJ9W9vjmZvIwiKcVDM4oBQq97uEtA5Yk2kpVTNNWrGk3BlRs5Xg8TvEmaLtSCk1K4kNhhfXpZ49qTszeW6e3OciTTB7eMmDeTG1FQ04rGvtq1Txh6F6lFmJMsMIomI9s/Qs1mc92pT8Eac/5GMA+wezk5kZ20kNTnLzd3L+LAXli5AP3UHITFEb3wZwu4mEr9hG8m3JrH/oVuqO78QQzrRBMhNGLRSPHveMIyYkQDsKviWUnNo/JHkXe9QWQJ04esRV3y2BTmesjWwQ8bAUDM3XM5HBCvh8wg+C9UpmpYyaHE3L+OhwA3iuVmTpmcjhBbMUC75XKTB0zOZwgtmKB90plpo6ZHE4Y2Vbe6KeiJCQkJhTy63ACgWBkjLXlSbYiISGRVYitSEhIjBxiKxISEiPHG9qKQCAQDIDYikAgGBliKwKBYGSIrQgEgpEhtiIQCEaG2IpAIBgZYisCgWBkiK0IBIKRIbYiEAhGhtiKQCAYGWIrAoFgZPwfiFug94k5RlQAAAAASUVORK5CYII=" alt="" />
很明显查询出来的结果是重复的(两个id为3的数据,两个id为4的数据,为什么会出现这样的结果,原因是:
我们知道一张订单表会对应多个订单明细表,这样的话就是说一个用户有一张订单表,那么一张订单表上肯定有很多的订单信息表
)
但是上面的这样结果如果用resultType来做的: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。我们采用的是resultMap.
但是我们的需求是: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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" 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。
效果如下:
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" 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" alt="" />
上面图Orders只有两条信息,每个Orders中的各有两条orderDetails信息。这样就刚好一一对应了。一对多——完美!
2.根据上面的思路来创建pojo类:
package cn.itcast.mybatis.po; import java.util.Date;
import java.util.List; public class Orders {
private Integer id;
private Integer user_id;
private String number;
private Date createtime;
private String note;
//用户信息,新增了一个User属性,为了保存查询得到的关联的User表的信息(一对一)
private User user;
//订单明细。order关联多个orderdetails,(一对多)
private List<Orderdetail> orderdetails; public List<Orderdetail> getOrderdetail() {
return orderdetails;
}
public void setOrderdetail(List<Orderdetail> orderdetail) {
this.orderdetails = orderdetail;
}
public User getUser() {
return user;
}
public void setUser(User user) {
this.user = user;
}
public Integer getId() {
return id;
}
public void setId(Integer id) {
this.id = id;
}
public Integer getUser_id() {
return user_id;
}
public void setUser_id(Integer user_id) {
this.user_id = user_id;
}
public String getNumber() {
return number;
}
public void setNumber(String number) {
this.number = number;
}
public Date getCreatetime() {
return createtime;
}
public void setCreatetime(Date createtime) {
this.createtime = createtime;
}
public String getNote() {
return note;
}
public void setNote(String note) {
this.note = note;
} }
3.创建mapper.xml和mapper.java接口。
OrdersMapperCustom.xml代码如下:
OrdersMapperCustom.xm写法一:
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper
PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<!-- nanmespace:命名空间。 作用就是对sql进行分类话管理,理解Sal分离 注意:使用mapper代理方式,namespace有特殊重要的作用
--> <mapper namespace="cn.itcast.mybatis.mapper.OrdersMapperCustom"> <!-- 配置映射的订单信息 -->
<!-- id:指定查询列中的唯 一标识,订单信息的中的唯 一标识,如果有多个列组成唯一标识,配置多个id
就是说id要能唯一的标识出数据库中的Order表。
column:订单信息的唯 一标识 列
property:订单信息的唯 一标识 列所映射到Orders中哪个属性 --> <resultMap type="cn.itcast.mybatis.po.Orders" id="OrdersUserResultMap">
<!-- 这一行的作用是要能唯一的识别出order表的,那么很明显是主键id -->
<id column="id" property="id"/> <!-- 以下的几行result column就是表中的字段 property就是对应到相应pojo类中的属性-->
<result column="user_id" property="user_id"/>
<result column="number" property="number"/>
<result column="createtime" property="createtime"/>
<result column="note" property="note"/>
<!-- 配置映射的关联的用户信息 -->
<!-- association:用于映射关联查询单个对象的信息
property:要将关联查询的用户信息映射到Orders中哪个属性
-->
<!-- 下面的代码比较特殊,因为Order表是直接关联到user表,下面这么写的目的是把user表映射到Order类中
<association property="user"这里的user指的是orders类中的user,对应的是cn.itcast.mybatis.po.User
-->
<association property="user" javaType="cn.itcast.mybatis.po.User">
<!--
<id column="user_id" property="id"/>这里的是user_id指的是order表中只有这个属性能表示唯一的user表
-->
<id column="user_id" property="id"/> <!-- 接下来的result property什么的都是为了把user表中的字段能匹配到
cn.itcast.mybatis.po.User这个类的属性中
-->
<result column="username" property="username"/>
<result column="sex" property="sex"/>
<result column="address" property="address"/>
</association> </resultMap> <resultMap type="cn.itcast.mybatis.po.Orders" id="OrderAndOrderDetailResultMap">
<!-- 订单和用户的设置 -->
<id column="id" property="id"/>
<!-- 以下的几行result column就是表中的字段 property就是对应到相应pojo类中的属性-->
<result column="user_id" property="user_id"/>
<result column="number" property="number"/>
<result column="createtime" property="createtime"/>
<result column="note" property="note"/>
<!-- 配置映射的关联的用户信息 -->
<!-- association:用于映射关联查询单个对象的信息
property:要将关联查询的用户信息映射到Orders中哪个属性
-->
<!-- 下面的代码比较特殊,因为Order表是直接关联到user表,下面这么写的目的是把user表映射到Order类中
<association property="user"这里的user指的是orders类中的user属性,对应的是cn.itcast.mybatis.po.User
-->
<association property="user" javaType="cn.itcast.mybatis.po.User">
<!--
<id column="user_id" property="id"/>这里的是user_id指的是order表中只有这个属性能表示唯一的user表
-->
<id column="user_id" property="id"/> <!-- 接下来的result property什么的都是为了把user表中的字段能匹配到
cn.itcast.mybatis.po.User这个类的属性中
-->
<result column="username" property="username"/>
<result column="sex" property="sex"/>
<result column="address" property="address"/>
</association> <!-- 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 -->
<!--
其是要理解collection的话对比上面的association,association是一对一的映射,而collection是一对多的映射
<collection property="orderdetails" 这里的orderdetails是Orders中一个属性:private List<Orderdetail> orderdetails;
ofType="cn.itcast.mybatis.po.Orderdetail"这里的
cn.itcast.mybatis.po.Orderdetail是List<Orderdetail>里面的Orderdetail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
-->
<!-- 这里的<id column="orderdetail_id" property="id"/>
orderdetail_id是要唯一能标识orderdetail表的字段,所以选了orderdetail的主键,为什么是orderdetail_id
而不是id呢,原因是为了避免和orders表的id造成冲突,所以取的别名。property="id"是cn.itcast.mybatis.po.Orderdetail
中的属性
-->
<id column="orderdetail_id" property="id"/>
<!-- 这里的result 中column都是orderdetail表中的字段,property是Orderdetail中的属性,要一一映射过去 -->
<result column="items_id" property="items_id"/>
<result column="items_number" property="items_num"/>
<result column="orders_id" property="orders_id"/>
</collection> </resultMap> <select id="findOrdersUser" resultType="cn.itcast.mybatis.po.OrdersCustom">
SELECT ORDERS.* ,
user.`username`,
user.`sex`,
user.`address`
FROM orderS,USER
WHERE ORDERS.`user_id`=USER.`id` </select> <select id="findOrdersUseResultMap" resultMap="OrdersUserResultMap">
SELECT ORDERS.* ,
user.`username`,
user.`sex`,
user.`address`
FROM orderS,USER
WHERE ORDERS.`user_id`=USER.`id` </select> <select id="findOrdersandOrderDetailResultMap" resultMap="OrderAndOrderDetailResultMap">
SELECT ORDERS.* ,
user.`username`,
user.`sex`,user.`address`,
orderdetail.`id` orderdetail_id ,
orderdetail.`items_id`,
orderdetail.`items_num`
FROM orderS,USER ,orderdetail
WHERE ORDERS.`user_id`=USER.`id`AND orderdetail.`orders_id`=Orders.`id` </select> </mapper>
OrdersMapperCustom.xm写法二:
发现上面的写法有点复杂,有些代码重复了,我们可以用extends这种做法来避免写重复代码。
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper
PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<!-- nanmespace:命名空间。 作用就是对sql进行分类话管理,理解Sal分离 注意:使用mapper代理方式,namespace有特殊重要的作用
--> <mapper namespace="cn.itcast.mybatis.mapper.OrdersMapperCustom"> <!-- 配置映射的订单信息 -->
<!-- id:指定查询列中的唯 一标识,订单信息的中的唯 一标识,如果有多个列组成唯一标识,配置多个id
就是说id要能唯一的标识出数据库中的Order表。
column:订单信息的唯 一标识 列
property:订单信息的唯 一标识 列所映射到Orders中哪个属性 --> <resultMap type="cn.itcast.mybatis.po.Orders" id="OrdersUserResultMap">
<!-- 这一行的作用是要能唯一的识别出order表的,那么很明显是主键id -->
<id column="id" property="id"/> <!-- 以下的几行result column就是表中的字段 property就是对应到相应pojo类中的属性-->
<result column="user_id" property="user_id"/>
<result column="number" property="number"/>
<result column="createtime" property="createtime"/>
<result column="note" property="note"/>
<!-- 配置映射的关联的用户信息 -->
<!-- association:用于映射关联查询单个对象的信息
property:要将关联查询的用户信息映射到Orders中哪个属性
-->
<!-- 下面的代码比较特殊,因为Order表是直接关联到user表,下面这么写的目的是把user表映射到Order类中
<association property="user"这里的user指的是orders类中的user,对应的是cn.itcast.mybatis.po.User
-->
<association property="user" javaType="cn.itcast.mybatis.po.User">
<!--
<id column="user_id" property="id"/>这里的是user_id指的是order表中只有这个属性能表示唯一的user表
-->
<id column="user_id" property="id"/> <!-- 接下来的result property什么的都是为了把user表中的字段能匹配到
cn.itcast.mybatis.po.User这个类的属性中
-->
<result column="username" property="username"/>
<result column="sex" property="sex"/>
<result column="address" property="address"/>
</association> </resultMap> <!-- 用extends OrdersUserResultMap
的话上面的重复代码就不用谢了
-->
<resultMap type="cn.itcast.mybatis.po.Orders" id="OrderAndOrderDetailResultMap"
extends="OrdersUserResultMap"> <!-- 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 -->
<!--
其是要理解collection的话对比上面的association,association是一对一的映射,而collection是一对多的映射
<collection property="orderdetails" 这里的orderdetails是Orders中一个属性:private List<Orderdetail> orderdetails;
ofType="cn.itcast.mybatis.po.Orderdetail"这里的
cn.itcast.mybatis.po.Orderdetail是List<Orderdetail>里面的Orderdetail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
-->
<!-- 这里的<id column="orderdetail_id" property="id"/>
orderdetail_id是要唯一能标识orderdetail表的字段,所以选了orderdetail的主键,为什么是orderdetail_id
而不是id呢,原因是为了避免和orders表的id造成冲突,所以取的别名。property="id"是cn.itcast.mybatis.po.Orderdetail
中的属性
-->
<id column="orderdetail_id" property="id"/>
<!-- 这里的result 中column都是orderdetail表中的字段,property是Orderdetail中的属性,要一一映射过去 -->
<result column="items_id" property="items_id"/>
<result column="items_number" property="items_num"/>
<result column="orders_id" property="orders_id"/>
</collection> </resultMap> <select id="findOrdersUser" resultType="cn.itcast.mybatis.po.OrdersCustom">
SELECT ORDERS.* ,
user.`username`,
user.`sex`,
user.`address`
FROM orderS,USER
WHERE ORDERS.`user_id`=USER.`id` </select> <select id="findOrdersUseResultMap" resultMap="OrdersUserResultMap">
SELECT ORDERS.* ,
user.`username`,
user.`sex`,
user.`address`
FROM orderS,USER
WHERE ORDERS.`user_id`=USER.`id` </select> <select id="findOrdersandOrderDetailResultMap" resultMap="OrderAndOrderDetailResultMap">
SELECT ORDERS.* ,
user.`username`,
user.`sex`,user.`address`,
orderdetail.`id` orderdetail_id ,
orderdetail.`items_id`,
orderdetail.`items_num`
FROM orderS,USER ,orderdetail
WHERE ORDERS.`user_id`=USER.`id`AND orderdetail.`orders_id`=Orders.`id` </select> </mapper>
OrdersMapperCustom.java接口如下:
package cn.itcast.mybatis.mapper; import java.util.List; import cn.itcast.mybatis.po.Orders;
import cn.itcast.mybatis.po.OrdersCustom; public interface OrdersMapperCustom {
//函数的名字OrdersMapperCustom.xml中select中的id名一样
public List<OrdersCustom> findOrdersUser();
public List<Orders> findOrdersUseResultMap();
public List<Orders> findOrdersandOrderDetailResultMap(); }
Junit测试代码:
Mybatis_mappertest.java代码如下:
package cn.itcast.mybatis.test; import java.io.IOException;
import java.io.InputStream;
import java.util.Date;
import java.util.List; import org.apache.ibatis.io.Resources;
import org.apache.ibatis.session.SqlSession;
import org.apache.ibatis.session.SqlSessionFactory;
import org.apache.ibatis.session.SqlSessionFactoryBuilder;
import org.junit.Before;
import org.junit.Test; import cn.itcast.mybatis.mapper.OrdersMapperCustom;
import cn.itcast.mybatis.mapper.userMapper;
import cn.itcast.mybatis.po.Orders;
import cn.itcast.mybatis.po.User;
import cn.itcast.mybatis.po.UserCustom;
import cn.itcast.mybatis.po.UserQueryVo; public class Mybatis_mappertest { private SqlSessionFactory sqlSessionFactory;
@Before
public void setup() throws IOException
{ String resource="SqlMapConfig.xml";
InputStream inputStream= Resources.getResourceAsStream(resource);
//主要是生成SqlsessionFactory。
this.sqlSessionFactory=new SqlSessionFactoryBuilder().build(inputStream);
}
@Test
public void testMaper()
{
SqlSession sqlSession=null; sqlSession=sqlSessionFactory.openSession();
//生成代理类
OrdersMapperCustom orderMapper=sqlSession.getMapper(OrdersMapperCustom.class); @SuppressWarnings("unused")
//List<Orders>list=orderMapper.findOrdersUseResultMap();
List<Orders> list=orderMapper.findOrdersandOrderDetailResultMap(); } }
一对多总结:
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。
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