Mybatis多表连接
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2022-07-12 13:50:50
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Mybatis多表连接
此博文主要是记录自己日常学习以及讲述给学弟的随堂笔记,故你可能会看不到完整的代码,考虑到你也兴趣,
文章末尾会附上本文完整的业务需求代码素材,建议你先看末尾,再来看前文。
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河南济源普普通通的追梦孩
——爱猫狗的小郝
2020/05/06
前言
两种类型
resultType和resultMap都可以完成输出映射:
- resultType映射要求sql查询的列名和输出映射pojo类型的属性名一致(不一致可以通过起别名来解决)
- resultMap映射时对sql查询的列名和输出映射pojo类型的属性名作一个对应关系。(不一致也无所谓)
resultType :直接表示返回类型
基本数据类型
复杂数据类型
resultMap :对外部resultMap的引用
应用场景:
数据库字段信息与对象属性不一致
复杂的联合查询,*控制映射结果
二者不能同时存在,本质上都是Map数据结构
resultMap
解决列名与实体类属性名不一致的问题,同时解决多表连接的查询问题。
操作步骤
- 分析需求(主查询表、关联查询表)
- 编写sql语句
- resultMap进行映射的思路,在相应的pojo里加关联
- 编写NewsMapper.xml
- 编写NewsMapperr.java
- 单元测试
- 前端界面展示
resultMap映射问题
resultMap的配置
<resultMap id="newsResultMap" type="hsy.cool.bean.News">
<result property="id" column="id"/>
<result property="title" column="title"/>
<result property="content" column="content"/>
<result property="users_id" column="users_id"/>
<result property="category_id" column="category_id"/>
<result property="pubtime" column="pubtime"/>
<result property="keywords" column="keywords"/>
<result property="state" column="state"/>
<result property="check_users_id" column="check_users_id"/>
<result property="check_time" column="check_time"/>
<result property="is_elite" column="is_elite"/>
</resultMap>
查询
<select id="findAllNor" resultMap="newsResultMap">
select * from n_news
</select>
java代码
List<News>findAllNor();
单元测试
@Test
public void findAllNor(){
NewsMapper dao= MybatisUtils.getMapper(NewsMapper.class);
List<News> list=dao.findAllNor();
Assert.assertNotNull(list);
Assert.assertEquals(8,list.size());
String time= DateUtils.parse(list.get(0).getCheck_time());
Assert.assertEquals("2020-04-10 11:41:40",time);
}
多表连接——简单
通过增加简单类型的属性实现展⽰多表数据的⽬的
resultMap新增
<result property="usersName" column="nickname"/>
<result property="categoryName" column="name"/>
<result property="checkUsersName" column="nickname"/>
实体类新增属性
private String usersName;
private String categoryName;
private String checkUsersName;
// setter/getter
单元测试新增
Assert.assertEquals("匿名",list.get(0).getUsersName());
多表连接——复杂
通过在实体类中添加对象的类型的属性以及assocation标签实现对复杂数据类型的映射
<resultMap id="newsMapComplex" type="hsy.cool.bean.News">
<result property="id" column="id"/>
<result property="title" column="title"/>
<result property="content" column="content"/>
<result property="users_id" column="users_id"/>
<result property="category_id" column="category_id"/>
<result property="pubtime" column="pubtime"/>
<result property="keywords" column="keywords"/>
<result property="state" column="state"/>
<result property="check_users_id" column="check_users_id"/>
<result property="check_time" column="check_time"/>
<result property="is_elite" column="is_elite"/>
<result property="categoryName" column="name"/>
<result property="checkUsersName" column="nickname"/>
<association property="own" javaType="hsy.cool.bean.Users">
<result property="id" column="id"/>
<result property="nickname" column="nickname"/>
<result property="realname" column="realname"/>
<result property="phone" column="phone"/>
<result property="email" column="email"/>
<result property="address" column="address"/>
<result property="createTime" column="create_time"/>
</association>
</resultMap>
查询
<select id="findAllComplex" resultMap="newsMapComplex">
select
n.id,
title,
content,
users_id,
category_id,
c.name,
pubtime,
keywords,
state,
check_users_id,
u1.nickname,
check_time,
is_elite,
u.*
from n_news n inner join n_users u on n.users_id=u.id
inner join n_category c on n.category_id=c.id
inner join n_users u1 on n.check_users_id=u1.id
</select>
java代码
List<News>findAllComplex();
实体类新增
private Users own;
//setter/getter
单元测试
@Test
public void findAllComplex(){
NewsMapper dao=MybatisUtils.getMapper(NewsMapper.class);
List<News> list=dao.findAllComplex();
Assert.assertNotNull(list);
Assert.assertEquals(8,list.size());
String time= DateUtils.parse(list.get(0).getCheck_time());
Assert.assertEquals("2020-04-10 11:41:40",time);
Assert.assertEquals("匿名啊啊啊",list.get(0).getOwn().getNickname());
}
JSP页面修改
<td class="users">${news.own.nickname}
<div class="usersInfo">
<table>
<tr>
<td>账号:</td>
<td>${news.own.nickname}</td>
</tr>
<tr>
<td>姓名:</td>
<td>${news.own.realname}</td>
</tr>
<tr>
<td>电话:</td>
<td>${news.own.phone}</td>
</tr>
<tr>
<td>邮件:</td>
<td>${news.own.email}</td>
</tr>
<tr>
<td>地址:</td>
<td>${news.own.address}</td>
</tr>
</table>
</div>
</td>
java代码修改
List<News> list=newsDao.findAllComplex();
添加样式
<style type="text/css">
.usersInfo{
width: 200px;
background: #eee;
}
</style>
样式修改
<style type="text/css">
.usersInfo{
width: 200px;
background: #eee;
position: absolute;
display: none;
}
</style>
导入jquery
<script type="text/javascript" src="${pageContext.request.contextPath}/js/jquery-1.8.3.min.js">
</script>
动态样式
<script>
//选择器.动作
$(function(){
$(".users").hover(function(){
$(".usersInfo",this).css("display","block");
},function(){
$(".usersInfo",this).css("display","none");
});
});
</script>
完整页面
<%@ page contentType="text/html;charset=UTF-8" language="java" %>
<%@ taglib prefix="c" uri="http://java.sun.com/jsp/jstl/core" %>
<html>
<head>
<title>新闻列表</title>
<style type="text/css">
.usersInfo{
width: 200px;
background: #eee;
position: absolute;
display: none;
}
</style>
<script type="text/javascript" src="${pageContext.request.contextPath}/js/jquery-1.8.3.min.js"></script>
<script>
$(function(){
$(".users").hover(function(){
$(".usersInfo",this).css("display","block");
},function(){
$(".usersInfo",this).css("display","none");
});
});
</script>
</head>
<body>
<p>首页/新闻</p>
<h1>新闻列表</h1>
<table width="1000" border="1">
<tr>
<th>编号</th>
<th>标题</th>
<th>内容</th>
<th>分类</th>
<th>作者</th>
<th>关键字</th>
<th>发布时间</th>
<th>审批</th>
</tr>
<c:forEach items="${list}" var="news">
<tr>
<td>${news.id}</td>
<td>${news.title}</td>
<td>${news.content}</td>
<td>${news.categoryName}</td>
<td class="users">${news.own.nickname}
<div class="usersInfo">
<table>
<tr>
<td>账号:</td>
<td>${news.own.nickname}</td>
</tr>
<tr>
<td>姓名:</td>
<td>${news.own.realname}</td>
</tr>
<tr>
<td>电话:</td>
<td>${news.own.phone}</td>
</tr>
<tr>
<td>邮件:</td>
<td>${news.own.email}</td>
</tr>
<tr>
<td>地址:</td>
<td>${news.own.address}</td>
</tr>
</table>
</div>
</td>
<td>${news.keywords}</td>
<td>${news.pubtimeString}</td>
<td>${news.checkUsersName}</td>
</tr>
</c:forEach>
</table>
</body>
</html>
业务素材
数据库表
/*
Navicat Premium Data Transfer
Source Server : localhost
Source Server Type : MySQL
Source Server Version : 80016
Source Host : localhost:3306
Source Schema : news
Target Server Type : MySQL
Target Server Version : 80016
File Encoding : 65001
Date: 21/02/2020 16:56:04
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for n_access_logs
-- ----------------------------
DROP TABLE IF EXISTS `n_access_logs`;
CREATE TABLE `n_access_logs` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`ip` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`intime` datetime(0) DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP(0),
`news_id` int(11) DEFAULT NULL,
`users_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for n_category
-- ----------------------------
DROP TABLE IF EXISTS `n_category`;
CREATE TABLE `n_category` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 7 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of n_category
-- ----------------------------
INSERT INTO `n_category` VALUES (1, '时事');
INSERT INTO `n_category` VALUES (2, '财经');
INSERT INTO `n_category` VALUES (3, '体育');
INSERT INTO `n_category` VALUES (4, '娱乐');
INSERT INTO `n_category` VALUES (5, '科技');
INSERT INTO `n_category` VALUES (6, '旅游');
-- ----------------------------
-- Table structure for n_news
-- ----------------------------
DROP TABLE IF EXISTS `n_news`;
CREATE TABLE `n_news` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`content` text CHARACTER SET utf8 COLLATE utf8_bin,
`users_id` int(11) DEFAULT NULL,
`category_id` int(11) DEFAULT NULL,
`pubtime` datetime(0) DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP(0),
`keywords` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`state` int(11) DEFAULT NULL COMMENT '1=新建,2=审批,3=删除',
`check_users_id` int(11) DEFAULT NULL,
`check_time` datetime(0) DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP(0),
`is_elite` int(11) DEFAULT NULL COMMENT '1=精华,0=非精华',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for n_replys
-- ----------------------------
DROP TABLE IF EXISTS `n_replys`;
CREATE TABLE `n_replys` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`news_id` int(11) DEFAULT NULL,
`content` varchar(1024) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`users_id` int(11) DEFAULT NULL,
`replys_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for n_short_replys
-- ----------------------------
DROP TABLE IF EXISTS `n_short_replys`;
CREATE TABLE `n_short_replys` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`news_id` int(11) DEFAULT NULL,
`type` int(11) DEFAULT NULL COMMENT '1=赞,0=踩',
`create_time` datetime(0) DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP(0),
`users_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for n_users
-- ----------------------------
DROP TABLE IF EXISTS `n_users`;
CREATE TABLE `n_users` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`nickname` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`realname` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`pwd` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`phone` varchar(20) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`email` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`address` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`create_time` datetime(0) DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP(0),
`type` int(11) DEFAULT NULL COMMENT '0=管理员,1=读者,2=编辑',
`realid` varchar(20) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL COMMENT '身份证号',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 3 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of n_users
-- ----------------------------
INSERT INTO `n_users` VALUES (1, '管理员', NULL, '123', NULL, NULL, NULL, '2019-10-09 10:06:39', 0, NULL);
INSERT INTO `n_users` VALUES (2, '匿名', NULL, '123', NULL, NULL, NULL, '2019-10-09 10:11:42', 1, NULL);
-- ----------------------------
-- Table structure for student
-- ----------------------------
DROP TABLE IF EXISTS `student`;
CREATE TABLE `student` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`phone` varchar(20) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 23 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of student
-- ----------------------------
INSERT INTO `student` VALUES (1, '张三', '110');
INSERT INTO `student` VALUES (2, '李四', '120');
INSERT INTO `student` VALUES (3, '王五', '119');
INSERT INTO `student` VALUES (4, '赵六', '110');
INSERT INTO `student` VALUES (15, 'xxx', '111');
INSERT INTO `student` VALUES (16, 'xxx', '111');
INSERT INTO `student` VALUES (17, 'xxx', '111');
INSERT INTO `student` VALUES (18, 'xxx', '111');
INSERT INTO `student` VALUES (19, 'xxx', '111');
INSERT INTO `student` VALUES (20, 'xxx', '111');
INSERT INTO `student` VALUES (21, 'xxx', '111');
-- ----------------------------
-- Table structure for users
-- ----------------------------
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`pwd` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`phone` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`email` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`address` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 4 CHARACTER SET = utf8 COLLATE = utf8_bin ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of users
-- ----------------------------
INSERT INTO `users` VALUES (1, '张三', '123', '110', '[email protected]', '洛阳');
INSERT INTO `users` VALUES (2, '李四', '111', '110', '[email protected]', '洛阳');
INSERT INTO `users` VALUES (3, '李四', '555', '110', '[email protected]', '洛阳');
SET FOREIGN_KEY_CHECKS = 1;
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