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1.背景介绍
用的mybatis自动生成的插件,然而每次更改数据库的时候重新生成需要替换原有的mapper.xml文件,都要把之前业务相关的sql重新写一遍,感觉十分麻烦,就想着把自动生成的作为一个基础文件,然后业务相关的写在扩展文件里面,这样更改数据库后只需要把所有基础文件替换掉就可以了
2.代码
2.1 BaseMapper.java
把自动生成的方法都抽到一个base类,然后可以写一些公共的方法
/** * @author 吕梁山 * @date 2019/4/23 */ public interface BaseMapper<T> { int deleteByPrimaryKey(Integer id); int insert(T entity); int insertSelective(T entity); int updateByPrimaryKeySelective(T entity); int updateByPrimaryKey(T entity); T selectByPrimaryKey(Integer id); }
2.2 UserMapper.java
自动生成的mapper文件,里面基本都是空的了
public interface UserMapper extends BaseMapper<User> { }
2.3 ExtUserMapper.java
mapper的扩展类,业务相关的
/** * @author 吕梁山 * @date 2019/4/25 */ public interface ExtUserMapper extends UserMapper { ExtUser selectUserByOpenId(String openId); int existUserByOpenId(String openId); int updateByOpenId(User user); }
2.4 UserMapper.xml
自动生成的mapper.xml文件,没有改动,不同的生成器生成的可能不同
注意namespace要写正确
<?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" > <mapper namespace="com.pikaqiu.barber.dao.base.UserMapper"> <resultMap id="BaseResultMap" type="com.pikaqiu.barber.entity.base.User"> <id column="id" property="id" jdbcType="INTEGER"/> <result column="user_name" property="userName" jdbcType="VARCHAR"/> <result column="user_img" property="userImg" jdbcType="VARCHAR"/> <result column="open_id" property="openId" jdbcType="VARCHAR"/> <result column="phone" property="phone" jdbcType="VARCHAR"/> <result column="sex" property="sex" jdbcType="INTEGER"/> <result column="province" property="province" jdbcType="VARCHAR"/> <result column="country" property="country" jdbcType="VARCHAR"/> <result column="city" property="city" jdbcType="VARCHAR"/> <result column="birth_date" property="birthDate" jdbcType="VARCHAR"/> <result column="subscribe_date" property="subscribeDate" jdbcType="TIMESTAMP"/> <result column="subscribe_scene" property="subscribeScene" jdbcType="VARCHAR"/> <result column="create_date" property="createDate" jdbcType="TIMESTAMP"/> </resultMap> <sql id="Base_Column_List"> id, user_name, user_img, open_id, phone, sex, province, country, city, birth_date, subscribe_date, subscribe_scene, create_date </sql> <select id="selectByPrimaryKey" resultMap="BaseResultMap" parameterType="java.lang.Integer"> select <include refid="Base_Column_List"/> from t_user where id = #{id,jdbcType=INTEGER} </select> <delete id="deleteByPrimaryKey" parameterType="java.lang.Integer"> delete from t_user where id = #{id,jdbcType=INTEGER} </delete> <insert id="insert" parameterType="com.pikaqiu.barber.entity.base.User"> insert into t_user (id, user_name, user_img, open_id, phone, sex, province, country, city, birth_date, subscribe_date, subscribe_scene, create_date) values (#{id,jdbcType=INTEGER}, #{userName,jdbcType=VARCHAR}, #{userImg,jdbcType=VARCHAR}, #{openId,jdbcType=VARCHAR}, #{phone,jdbcType=VARCHAR}, #{sex,jdbcType=INTEGER}, #{province,jdbcType=VARCHAR}, #{country,jdbcType=VARCHAR}, #{city,jdbcType=VARCHAR}, #{birthDate,jdbcType=VARCHAR}, #{subscribeDate,jdbcType=TIMESTAMP}, #{subscribeScene,jdbcType=VARCHAR}, #{createDate,jdbcType=TIMESTAMP}) </insert> <insert id="insertSelective" parameterType="com.pikaqiu.barber.entity.base.User"> insert into t_user <trim prefix="(" suffix=")" suffixOverrides=","> <if test="id != null"> id, </if> <if test="userName != null"> user_name, </if> <if test="userImg != null"> user_img, </if> <if test="openId != null"> open_id, </if> <if test="phone != null"> phone, </if> <if test="sex != null"> sex, </if> <if test="province != null"> province, </if> <if test="country != null"> country, </if> <if test="city != null"> city, </if> <if test="birthDate != null"> birth_date, </if> <if test="subscribeDate != null"> subscribe_date, </if> <if test="subscribeScene != null"> subscribe_scene, </if> <if test="createDate != null"> create_date, </if> </trim> <trim prefix="values (" suffix=")" suffixOverrides=","> <if test="id != null"> #{id,jdbcType=INTEGER}, </if> <if test="userName != null"> #{userName,jdbcType=VARCHAR}, </if> <if test="userImg != null"> #{userImg,jdbcType=VARCHAR}, </if> <if test="openId != null"> #{openId,jdbcType=VARCHAR}, </if> <if test="phone != null"> #{phone,jdbcType=VARCHAR}, </if> <if test="sex != null"> #{sex,jdbcType=INTEGER}, </if> <if test="province != null"> #{province,jdbcType=VARCHAR}, </if> <if test="country != null"> #{country,jdbcType=VARCHAR}, </if> <if test="city != null"> #{city,jdbcType=VARCHAR}, </if> <if test="birthDate != null"> #{birthDate,jdbcType=VARCHAR}, </if> <if test="subscribeDate != null"> #{subscribeDate,jdbcType=TIMESTAMP}, </if> <if test="subscribeScene != null"> #{subscribeScene,jdbcType=VARCHAR}, </if> <if test="createDate != null"> #{createDate,jdbcType=TIMESTAMP}, </if> </trim> </insert> <update id="updateByPrimaryKeySelective" parameterType="com.pikaqiu.barber.entity.base.User"> update t_user <set> <if test="userName != null"> user_name = #{userName,jdbcType=VARCHAR}, </if> <if test="userImg != null"> user_img = #{userImg,jdbcType=VARCHAR}, </if> <if test="openId != null"> open_id = #{openId,jdbcType=VARCHAR}, </if> <if test="phone != null"> phone = #{phone,jdbcType=VARCHAR}, </if> <if test="sex != null"> sex = #{sex,jdbcType=INTEGER}, </if> <if test="province != null"> province = #{province,jdbcType=VARCHAR}, </if> <if test="country != null"> country = #{country,jdbcType=VARCHAR}, </if> <if test="city != null"> city = #{city,jdbcType=VARCHAR}, </if> <if test="birthDate != null"> birth_date = #{birthDate,jdbcType=VARCHAR}, </if> <if test="subscribeDate != null"> subscribe_date = #{subscribeDate,jdbcType=TIMESTAMP}, </if> <if test="subscribeScene != null"> subscribe_scene = #{subscribeScene,jdbcType=VARCHAR}, </if> <if test="createDate != null"> create_date = #{createDate,jdbcType=TIMESTAMP}, </if> </set> where id = #{id,jdbcType=INTEGER} </update> <update id="updateByPrimaryKey" parameterType="com.pikaqiu.barber.entity.base.User"> update t_user set user_name = #{userName,jdbcType=VARCHAR}, user_img = #{userImg,jdbcType=VARCHAR}, open_id = #{openId,jdbcType=VARCHAR}, phone = #{phone,jdbcType=VARCHAR}, sex = #{sex,jdbcType=INTEGER}, province = #{province,jdbcType=VARCHAR}, country = #{country,jdbcType=VARCHAR}, city = #{city,jdbcType=VARCHAR}, birth_date = #{birthDate,jdbcType=VARCHAR}, subscribe_date = #{subscribeDate,jdbcType=TIMESTAMP}, subscribe_scene = #{subscribeScene,jdbcType=VARCHAR}, create_date = #{createDate,jdbcType=TIMESTAMP} where id = #{id,jdbcType=INTEGER} </update> </mapper>
2.5 ExtUserMapper.xml
业务相关的sql,这里用不了自动生成mapper.xml里面的BaseResultMap这些东西
<?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" > <mapper namespace="com.pikaqiu.barber.dao.ExtUserMapper"> <resultMap id="BaseResultMap" type="com.pikaqiu.barber.entity.ExtUser"> <id column="id" property="id" jdbcType="INTEGER"/> <result column="user_name" property="userName" jdbcType="VARCHAR"/> <result column="user_img" property="userImg" jdbcType="VARCHAR"/> <result column="open_id" property="openId" jdbcType="VARCHAR"/> <result column="phone" property="phone" jdbcType="VARCHAR"/> <result column="sex" property="sex" jdbcType="INTEGER"/> <result column="province" property="province" jdbcType="VARCHAR"/> <result column="country" property="country" jdbcType="VARCHAR"/> <result column="city" property="city" jdbcType="VARCHAR"/> <result column="birth_date" property="birthDate" jdbcType="VARCHAR"/> <result column="subscribe_date" property="subscribeDate" jdbcType="TIMESTAMP"/> <result column="subscribe_scene" property="subscribeScene" jdbcType="VARCHAR"/> <result column="create_date" property="createDate" jdbcType="TIMESTAMP"/> </resultMap> <update id="updateByOpenId" parameterType="com.pikaqiu.barber.entity.base.User" > update t_user <set> <if test="userName != null"> user_name = #{userName,jdbcType=VARCHAR}, </if> <if test="userImg != null"> user_img = #{userImg,jdbcType=VARCHAR}, </if> <if test="phone != null"> phone = #{phone,jdbcType=VARCHAR}, </if> <if test="sex != null"> sex = #{sex,jdbcType=INTEGER}, </if> <if test="province != null"> province = #{province,jdbcType=VARCHAR}, </if> <if test="country != null"> country = #{country,jdbcType=VARCHAR}, </if> <if test="city != null"> city = #{city,jdbcType=VARCHAR}, </if> <if test="birthDate != null"> birth_date = #{birthDate,jdbcType=VARCHAR}, </if> <if test="subscribeDate != null"> subscribe_date = #{subscribeDate,jdbcType=TIMESTAMP}, </if> <if test="subscribeScene != null"> subscribe_scene = #{subscribeScene,jdbcType=VARCHAR}, </if> <if test="createDate != null"> create_date = #{createDate,jdbcType=TIMESTAMP}, </if> </set> where open_id = #{openId,jdbcType=INTEGER} </update> <select id="selectUserByOpenId" parameterType="String" resultMap="BaseResultMap"> select * from t_user where open_id = #{openId,jdbcType=VARCHAR} </select> <select id="existUserByOpenId" parameterType="String" resultType="Integer"> select count(0) from t_user where open_id = #{openId,jdbcType=VARCHAR} </select> </mapper>
2.6 UserServiceImpl.java
service层调用的时候直接调用扩展的mapper
/** * @author 吕梁山 * @date 2019/4/23 */ @Service("userService") public class UserServiceImpl implements UserService { @Resource private ExtUserMapper extUserMapper; @Override public ExtUser getUserByOpenId(String openId) { return extUserMapper.selectUserByOpenId(openId); } }
注:如果生成的mapper.xml和extmapper.xml不在同一个目录,需要在application.yml将所有mapper.xml文件都添加到扫描中
mybatis: #扫描sql.xml文件 mapper-locations: classpath:mapping/**/*.xml #自动扫描实体类 type-aliases-package: com.pikaqiu.barber.entity
至此,每次更改数据库结构后,直接重新生成文件对base文件进行替换即可,不需要再去将业务代码复制重新粘贴
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