mybatis多对多关联查询—

1.需求

查询用户及用户购买商品信息。

2 sql语句

查询主表是：用户表

关联表：由于用户和商品没有直接关联，通过订单和订单明细进行关联，所以关联表：

orders、orderdetail、items

SELECT

  orders.*,

  USER.username,

  USER.sex,

  USER.address,

  orderdetail.id orderdetail_id,

  orderdetail.items_id,

  orderdetail.items_num,

  orderdetail.orders_id,

  items.name items_name,

  items.detail items_detail,

  items.price items_price

FROM

  orders,

  USER,

  orderdetail,

  items

WHERE orders.user_id = user.id AND orderdetail.orders_id=orders.id AND orderdetail.items_id = items.id

3 映射思路

将用户信息映射到user中。

在user类中添加订单列表属性List<Orders> orderslist，将用户创建的订单映射到orderslist

在Orders中添加订单明细列表属性List<OrderDetail>orderdetials，将订单的明细映射到orderdetials

在OrderDetail中添加Items属性，将订单明细所对应的商品映射到Items

User.java

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" 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Orders.java

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GYuapPmO8Q5+28BJwNLBDjDvYJxN+N1a99sKva+FtX/ck6W50n39D7BmJrvnv1E3SV/7rE2+NdQbM3n7f8m3xPAnGpg2MDMe4w/5bqqiTfW+YCmO/aNxCTta3uZ0XBvYGY/6rtGIjJIVb3U92773nLN9iNQFzq4Kf15lixHAjeItV/CedD52vItF98y3ZdJ62LIbms+H6eme9e/XzC8xx/XTLbuy7mE+Y7xHnrfZ/vRiAudVCWdfN3zK9J+9auT/u9WB1lsrc6xGLxc3Gdcf2tIqsT7O38e3ur1H37iee12ElmasG5ajluvmOdt7jU6AxuIRCXOhjm7MBLCMR/XPNziDIRbkUg/uN1v6kCnGqoxBCIwJGGSoy1gejh4eGRfwxCIHp4eBz/GER/IAI8lEAEKAQiQCEQAQqBCFAIRIBCIAIUAhGgEIgAhUAEKAQiQPFfcGzzPMZOuOEAAAAASUVORK5CYII=" 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Orderdetail.java

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Items.java

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

4 mapper.xml

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" alt="" />

5 resultMap定义

<!-- 查询用户及购买的商品 -->

    <resultMap type="cn.itcast.mybatis.po.User" id="UserAndItemsResultMap">

        <!-- 用户信息 -->

        <id column="user_id" property="id"/>

        <result column="username" property="username"/>

        <result column="sex" property="sex"/>

        <result column="address" property="address"/>

        <!-- 订单信息

        一个用户对应多个订单，使用collection映射

         -->

         <collection property="ordersList" ofType="cn.itcast.mybatis.po.Orders">

             <id column="id" property="id"/>

             <result column="user_id" property="userId"/>

            <result column="number" property="number"/>

            <result column="createtime" property="createtime"/>

            <result column="note" property="note"/>

             <!-- 订单明细

         一个订单包括 多个明细

          -->

              <collection property="orderdetails" ofType="cn.itcast.mybatis.po.Orderdetail">

                      <id column="orderdetail_id" property="id"/>

                     <result column="items_id" property="itemsId"/>

                     <result column="items_num" property="itemsNum"/>

                     <result column="orders_id" property="ordersId"/>

                     <!-- 商品信息

              一个订单明细对应一个商品

               -->

                   <association property="items" javaType="cn.itcast.mybatis.po.Items">

                       <id column="items_id" property="id"/>

                       <result column="items_name" property="name"/>

                       <result column="items_detail" property="detail"/>

                       <result column="items_price" property="price"/>

                   </association>

              </collection>

         </collection>

    </resultMap>

总结:

　　一对一的在外键中添加主键对象为其属性，查询的时候外键表为主查询表。比如订单表对用户是一对一，订单中有用户的id为外键，查询的时候在订单中添加一用户属性。然后通过resultMap(单个对象映射用association)或通过Pojo封装进行一对一查询。

　　一对多的在一个里面添加多个为List属性，比如订单与订单明细为一对多，在订单中添加一个 private List<Orderdetail> orderdetails; 属性，最后用resultMap进行映射，list用collection映射。

　　多对多拆分为两个一对多，分析过程与映射过程与上面一样。

补充：例如:一个角色和权限的对应关系: （查询角色信息）

角色中添加角色权限集合，角色权限中添加权限属性。

角色bean(添加角色权限集合)

public class Role {

    private String roleid;

    private String rolename;

    private String rolestatus;

    private String description;

    private String insituteid;

    private String isuse;

    private String remark;

    private List<Rolepermission> rolepermissions;//角色权限集合
　　。。。

角色权限bean(添加permission属性)

public class Rolepermission {

    private Integer rolepermissionid;

    private String roleid;

    private String permissionid;

    private Permission permission;

    ..

}

Mapper映射

    <!--1.组合条件分页查询角色信息-->

    <!--1.1结果集映射-->

    <resultMap id="RolePermissionResultMap" type="cn.xm.jwxt.bean.system.Role">

        <!--(1)角色信息-->

        <id column="roleID" property="roleid"></id>

        <result column="roleName" property="rolename"/>

        <result column="roleStatus" property="rolestatus"/>

        <result column="description" property="description"/>

        <!--(2)角色权限信息-->

        <collection property="rolepermissions" ofType="cn.xm.jwxt.bean.system.Rolepermission">

            <id column="rolePermissionId" property="rolepermissionid"></id>

            <!--(3)权限信息-->

            <association property="permission" javaType="cn.xm.jwxt.bean.system.Permission">

                <id column="permissionID" property="permissionname"></id>

                <result column="permissionStatus" property="permissionstatus"/>

            </association>

        </collection>

    </resultMap>

    <!--2.查询数据-->

    <select id="getRoleByCondition" parameterType="map" resultMap="RolePermissionResultMap">

        SELECT *

        FROM role

          LEFT JOIN rolepermission

            ON role.roleID = rolepermission.roleId

          LEFT JOIN permission

            ON rolepermission.permissionId = permission.permissionID

    </select>