MyBatis配置文件Mapper增删改查标准写法（包含jdbcType配置）

最新推荐文章于 2025-06-29 20:44:22 发布

原创最新推荐文章于 2025-06-29 20:44:22 发布 · 3.4k 阅读

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CC 4.0 BY-SA版权

本文介绍了一个使用MyBatis实现的用户增删改查操作案例，详细展示了XML映射文件中如何定义SQL语句及参数设置，适用于希望快速上手MyBatis进行数据库操作的开发者。

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<?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.baizhi.dao.UserMapper" >
  <resultMap id="BaseResultMap" type="com.baizhi.entity.User" >
    <id column="id" property="id" jdbcType="INTEGER" />
    <result column="username" property="username" jdbcType="VARCHAR" />
    <result column="gender" property="gender" jdbcType="VARCHAR" />
    <result column="age" property="age" jdbcType="INTEGER" />
  </resultMap>
  <sql id="Base_Column_List" >
    id, username, gender, age
  </sql>
  <select id="selectByPrimaryKey" resultMap="BaseResultMap" parameterType="java.lang.Integer" >
    select 
    <include refid="Base_Column_List" />
    from my_user
    where id = #{id,jdbcType=INTEGER}
  </select>
  <delete id="deleteByPrimaryKey" parameterType="java.lang.Integer" >
    delete from my_user
    where id = #{id,jdbcType=INTEGER}
  </delete>
  <insert id="insert" parameterType="com.baizhi.entity.User" >
    insert into my_user (id, username, gender, 
      age)
    values (#{id,jdbcType=INTEGER}, #{username,jdbcType=VARCHAR}, #{gender,jdbcType=VARCHAR}, 
      #{age,jdbcType=INTEGER})
  </insert>
  <insert id="insertSelective" parameterType="com.baizhi.entity.User" >
    insert into my_user
    <trim prefix="(" suffix=")" suffixOverrides="," >
      <if test="id != null" >
        id,
      </if>
      <if test="username != null" >
        username,
      </if>
      <if test="gender != null" >
        gender,
      </if>
      <if test="age != null" >
        age,
      </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="gender != null" >
        #{gender,jdbcType=VARCHAR},
      </if>
      <if test="age != null" >
        #{age,jdbcType=INTEGER},
      </if>
    </trim>
  </insert>
  <update id="updateByPrimaryKeySelective" parameterType="com.baizhi.entity.User" >
    update my_user
    <set >
      <if test="username != null" >
        username = #{username,jdbcType=VARCHAR},
      </if>
      <if test="gender != null" >
        gender = #{gender,jdbcType=VARCHAR},
      </if>
      <if test="age != null" >
        age = #{age,jdbcType=INTEGER},
      </if>
    </set>
    where id = #{id,jdbcType=INTEGER}
  </update>
  <update id="updateByPrimaryKey" parameterType="com.baizhi.entity.User" >
    update my_user
    set username = #{username,jdbcType=VARCHAR},
      gender = #{gender,jdbcType=VARCHAR},
      age = #{age,jdbcType=INTEGER}
    where id = #{id,jdbcType=INTEGER}
  </update>
</mapper>