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SpringBoot--实战开发--整合MyBatis(八)

SpringBoot--实战开发--整合MyBatis(八)

作者: 无剑_君 | 来源:发表于2019-05-07 08:57 被阅读180次

    一、整合MyBatis

    添加依赖:

    <!--jdbc驱动-->
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.11</version>
        </dependency>
        <!--jdbc 数据源-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jdbc</artifactId>
        </dependency>
        <!--mybatis-->
        <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>2.0.0</version>
        </dependency>
      <!-- 分页插件 -->
            <dependency>
                <groupId>com.github.pagehelper</groupId>
                <artifactId>pagehelper-spring-boot-starter</artifactId>
                <version>1.2.5</version>
            </dependency>
    

    二、配置

    Spring Boot 2默认数据库连接池选择了HikariCP

    默认的数据库连接池由Tomcat换成HikariCP. 如果在一个Tomcat应用中用spring.datasource.type来强制使用Hikari连接池, 则可以去掉这个override.

    为何选择HikariCP

    HiKariCP是数据库连接池的一个后起之秀,号称性能最好,可以完美地PK掉其他连接池,是一个高性能的JDBC连接池,基于BoneCP做了不少的改进和优化。

    # JDBC连接数据库
    spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
    spring.datasource.url=jdbc:mysql://127.0.0.1:3306/iotManager?useUnicode=true&characterEncoding=UTF-8&useSSL=false&autoReconnect=true&failOverReadOnly=false&serverTimezone=Asia/Shanghai
    spring.datasource.username=root
    spring.datasource.password=1234
    
    # 数据库连接池
    spring.datasource.type=com.zaxxer.hikari.HikariDataSource
    # 最小空闲连接数量
    spring.datasource.hikari.minimum-idle=5
    # 连接池最大连接数,默认是10
    spring.datasource.hikari.maximum-pool-size=15
    #此属性控制从池返回的连接的默认自动提交行为,默认值:true
    spring.datasource.hikari.auto-commit=true
    spring.datasource.hikari.idle-timeout=30000
    spring.datasource.hikari.pool-name=UserHikariCP
    # 此属性控制池中连接的最长生命周期,值0表示无限生命周期,默认1800000即30分钟
    spring.datasource.hikari.max-lifetime=1800000
    #数据库连接超时时间,默认30秒,即30000
    spring.datasource.hikari.connection-timeout=30000
    #指定校验连接合法性执行的sql语句
    spring.datasource.hikari.connection-test-query=SELECT 1
    
    #=classpath*:mapper/**/*.xml
    mybatis.mapper-locations=classpath*:/mapper/*.xml
    mybatis.type-aliases-package=com.neuedu.entity
    

    三、数据库脚本

    CREATE DATABASE yige DEFAULT CHARSET utf8 COLLATE utf8_general_ci;
    use
    IotManager;
    
    /* 用户信息表 */
    CREATE TABLE USER (
        id int NOT NULL auto_increment COMMENT  '用户ID',
        username varchchar(20) not null COMMENT  '用户账号',
        birthday varchchar(20) not null COMMENT '出生年月',
        sex varchchar(6) not null COMMENT '性别',
        address varchchar(30) COMMENT '地址',
        PRIMARY KEY  (`id`)
    )COMMENT ='用户表' ENGINE=InnoDB  DEFAULT CHARSET=utf8 AUTO_INCREMENT=1;
    
    /* 用户表的模拟数据 */
    insert into USER(username ,birthday ,sex ,address ) values 
        ('zhangsan','1990-05-03','男','天津市滨海区'),
        ('lishui','1903-05-01','女','河北省张家口市'),
        ('wangwu','1900-08-01','女,' 河北石家庄市'),
        ('zhaoliu','1900-08-01','女,' 河北石家庄市');
    

    四、创建Mapper文件

    src\main\resources\mapper\UserMapper.xml

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

    五、创建Mapper接口

    @Repository
    public interface UserMapper {
        int deleteByPrimaryKey(Integer id);
        int insert(User record);
        int insertSelective(User record);
        User selectByPrimaryKey(Integer id);
        int updateByPrimaryKeySelective(User record);
        int updateByPrimaryKey(User record);
        List<User> selectAll();
    }
    

    添加扫描路径:

    @SpringBootApplication
    @MapperScan(value = "com.neusoft.mapper")
    public class SpringbootDevPracticeApplication {
    
        public static void main(String[] args) {
            SpringApplication application = new SpringApplication(SpringbootDevPracticeApplication.class);
            application.run(args);
        }
    }
    

    六、单元测试

    @RunWith(SpringRunner.class)
    @SpringBootTest
    @Slf4j
    public class SpringbootDevPracticeApplicationTests {
        @Autowired
        private UserMapper userMapper;
    
        @Test
        public void insert(){
            User user=new User();
            user.setId(1);
            user.setSex("男");
            user.setBirthday(new Date());
            user.setAddress("天津卫");
            userMapper.insert(user);
        }
    }
    

    七、分页插件

    @Test
        public void page(){
            // 参数1:当前页数
            // 参数2:每页显示的数量
            PageHelper.startPage(3, 2);
            List<User> user = userMapper.selectAll();
            // 分页的各种信息。保存在pageInfo中。可打断点查看具体内容。
            PageInfo pageInfo = new PageInfo(user);
            // 分页要显示的信息保存在 List(变量)中。getList() 获取数据。
            List list = pageInfo.getList();
    
            System.out.println("当前页:" + pageInfo.getPageNum());
            System.out.println("每页的数量:" + pageInfo.getPageSize());
            System.out.println("当前页显示的数量:" + pageInfo.getSize());
    
            //由于startRow和endRow不常用,这里说个具体的用法
            // 可以在页面中"显示startRow到endRow 共size条数据"
            // 当前页面第一个元素在数据库中的行号
            // 当前页面最后一个元素在数据库中的行号
            System.out.println("显示" + pageInfo.getStartRow() + "到" + pageInfo.getEndRow() + "共" + pageInfo.getSize() + "条数据");
            System.out.println("当前页面第一个元素在数据库中的行号: " + pageInfo.getStartRow());
            System.out.println("当前页面最后一个元素在数据库中的行号: " + pageInfo.getEndRow());
            System.out.println("总记录数: " + pageInfo.getTotal());
            System.out.println("总页数: " + pageInfo.getPages());
            System.out.println("前一页:" + pageInfo.getPrePage());
            System.out.println("下一页:" + pageInfo.getNextPage());
            System.out.println("是否为第一页:" + pageInfo.isIsFirstPage());
            System.out.println("是否为最后一页:" + pageInfo.isIsLastPage());
            System.out.println("是否有前一页:" + pageInfo.isHasPreviousPage());
            System.out.println("是否有下一页:" + pageInfo.isHasNextPage());
            System.out.println("导航页码数:" + pageInfo.getNavigatePages());
            System.out.println("所有导航页码数:");
    
            for (int i : pageInfo.getNavigatepageNums()) {
                System.out.println(" " + i + ",");
            }
        }
    

    八、控制台打印SQL

    1. 添加配置
      在application.properties添加:
    #mybatis日志的配置,设置成debug可以输出sql语句
    logging.level.com.neusoft.mapper=debug
    #开启驼峰编码
    #在数据库中经常使用带下划线的命名方式,而在Java代码中,偏向于使用驼峰式的命名方式
    #在SpringBoot下,整合mybatis开启驼峰法命名转换
    mybatis.configuration.map-underscore-to-camel-case=true
    
    1. 注意
      logback-spring.xml 文件的CONSOLE与root的日志级别要一下要小于debug。

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