前言 嵌套查询的实现原理为两次查询,比如产品表为主表,图片表为从表通过product_id字段与产品表id字段关联实现一对多,嵌套查询 首先查询 主表的数据 然后将主表id字段赋值给从表
前言
嵌套查询的实现原理为两次查询,比如产品表为主表,图片表为从表通过product_id字段与产品表id字段关联实现一对多,嵌套查询 首先查询 主表的数据 然后将主表id字段赋值给从表实体类中product_id 字段(productId)然后通过dao接口路径映射找到对应的MyBatis XMl文件SQL语句ID如:com.liao.dao.DImgMapper.selectDImgByProductId 进行子查询也就是第二次查询。然后返回数据
数据库建表语句和测试数据如下:
数据库版本为 MySQL 8.0
产品表
DROP TABLE IF EXISTS `d_product`; CREATE TABLE `d_product` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT '产品ID', `product_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '产品名称', `product_introduction` text CHARACTER SET utf8 COLLATE utf8_bin NULL COMMENT '产品介绍', `product_category` int(11) NULL DEFAULT NULL COMMENT '产品ID', `product_status` int(1) NULL DEFAULT NULL COMMENT '产品状态', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 18 CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '产品表' ROW_FORMAT = Dynamic; INSERT INTO `d_product` VALUES (1, '测试产品名称修改', '测试产品介绍修改', NULL, 1, '2020-02-02 12:40:06'); INSERT INTO `d_product` VALUES (2, '产品名称', '产品介绍', NULL, 1, '2020-03-02 18:15:07'); INSERT INTO `d_product` VALUES (3, 'bbb', 'bbb', NULL, 1, '2020-03-01 22:18:40');
图片表
DROP TABLE IF EXISTS `d_img`; CREATE TABLE `d_img` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `product_id` int(11) NULL DEFAULT NULL COMMENT '产品图片ID', `img` varchar(500) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '图片', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE, INDEX `product_id`(`product_id`) USING BTREE, CONSTRAINT `d_img_ibfk_1` FOREIGN KEY (`product_id`) REFERENCES `d_product` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT ) ENGINE = InnoDB AUTO_INCREMENT = 86 CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '产品图片' ROW_FORMAT = Dynamic; INSERT INTO `d_img` VALUES (40, 1, '1491803633034_683819.jpg', '2020-03-03 17:21:20'); INSERT INTO `d_img` VALUES (40, 1, '1491803633034_683819.jpg', '2020-03-03 17:21:20'); INSERT INTO `d_img` VALUES (41, 1, '1568950881751_702421.jpg', '2020-03-03 17:21:20');
Java实体类:
// 将这个注解写在类上之后,就会忽略类中不存在的字段,否则可能会报错 @JsonIgnoreProperties(value = {"handler"}) /** * * TODO: 产品类 * @author LiAo * @date 2020/5/20 17:04 */ public class DProduct { private Integer id; private String productName; private Integer productCategory; private Integer productStatus; private Date createTime; private String productIntroduction; private List<DImg> dImgs; // 用于存放图片集合 // .. get set toString } /** * * TODO: 产品图片类 * @author LiAo * @date 2020/5/20 17:05 */ @JsonIgnoreProperties(value = {"handler"}) public class DImg { private Integer id; private Integer productId; private String img; private Date createTime; // .. get set toString }
实体类创建好后要编写Dao接口 和Mapper XML了
持久层接口DAO:
/** * * TODO: 产品 Dao接口 * @author LiAo * @date 2020/5/20 17:08 */ public interface DProductMapper { /** * 产品图片一对多嵌套 * @param record 查询条件 * @return 返回参数 */ List<DProduct> productSelect(DProduct record); }
产品MyBatis xml:
<!--映射的Dao接口类 可以通过这个路径找到先关的SQL语句和resultMap 映射--> <mapper namespace="com.liao.dao.DProductMapper"> <resultMap id="BaseResultMap" type="com.liao.entity.DProduct"> <id column="id" property="id" jdbcType="INTEGER"/> <result column="product_name" property="productName" jdbcType="VARCHAR"/> <result column="product_category" property="productCategory" jdbcType="INTEGER"/> <result column="product_status" property="productStatus" jdbcType="INTEGER"/> <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/> <result column="product_introduction" property="productIntroduction" jdbcType="LONGVARCHAR"/> </resultMap> <!--产品图片一对多查询映射--> <!--id:配置映射的名称--> <!--type:返回值类型 --> <!--extends:继承id为BaseResultMap的映射 --> <!--select:子查询所在的XML绑定的DAO接口路径.SQL语句id --> <!--column="{productId = id} productId:从表关联主表的实体类属性,作为子查询的条件 id:主表中被关联的数据库字段--> <resultMap id="dProductResultMap" type="com.liao.entity.DProduct" extends="BaseResultMap"> <collection property="dImgs" fetchType="lazy" select="com.liao.dao.DImgMapper.selectDImgByProductId" column="{productId = id}"/> </resultMap> <!--查询语句--> <select id="productSelect" parameterType="com.liao.entity.DProduct" resultMap="dProductListMapSelect"> select d.id, d.product_name, d.product_category, d.product_status, d.create_time, d.product_introduction from d_product d where 1 = 1 <!-- 使用if标签拼接条件语句 实现动态SQL--> <if test="id != null and id != ''"> and d.id = #{id} </if> <if test="productName != null and productName != ''"> and d.product_name like concat(#{productName},'%') </if> <if test="productStatus != null and productStatus != ''"> and d.product_status = #{productStatus} </if> <if test="createTime != null and createTime != ''"> and d.create_time like concat(#{createTime},'%') </if> <if test="productIntroduction != null and productIntroduction != ''"> and d.product_introduction like concat(#{productIntroduction},'%') </if> </select> </mapper>
图片MyBatis xml:
<mapper namespace="com.liao.dao.DImgMapper"> <resultMap id="BaseResultMap" type="com.liao.entity.DImg"> <id column="did" property="id" jdbcType="INTEGER"/> <result column="product_id" property="productId" jdbcType="INTEGER"/> <result column="img" property="img" jdbcType="VARCHAR"/> <result column="create_time" property="createTime" jdbcType="TIMESTAMP"/> </resultMap> <!--一对多嵌套查询 子查询语句--> <select id="selectDImgByProductId" resultMap="BaseResultMap"> select i.id as did, i.product_id, i.img, i.create_time from d_img i where i.product_id = #{productId} </select> </mapper>
测试查询结果
查询结果为一个产品对象里有若干个产品图片对象。
{ "id": 18, "productName": "产品添加图片上传测试", "productCategory": null, "productStatus": 1, "createTime": "2020-04-14T13:40:40.000+0000", "productIntroduction": "产品添加图片上传测试", "dImgs": [ { "id": 92, "productId": 18, "img": "01.jpg", "createTime": "2020-04-26T02:33:04.000+0000" }, { "id": 93, "productId": 18, "img": "1554103835292_610234.jpg", "createTime": "2020-04-26T02:33:04.000+0000" }, { "id": 94, "productId": 18, "img": "1555484699771_582172.jpg", "createTime": "2020-04-26T02:33:04.000+0000" }, { "id": 95, "productId": 18, "img": "1554103835292_610234.jpg", "createTime": "2020-04-26T02:33:04.000+0000" } ] },
总结
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