springboot---连接mysql数据库

2021/12/13 2:19:30

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1. 准备工作

  1. 建一个简单的数据库,名为springboot_db,在其下建一个表,名为t_author,脚本如下:

    CREATE DATABASE /*!32312 IF NOT EXISTS*/`springboot_db` /*!40100 DEFAULT CHARACTER SET utf8 */;
     
    USE `springboot_db`;
     
    DROP TABLE IF EXISTS `t_author`;
     
    CREATE TABLE `t_author` (
      `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT COMMENT '用户ID',
      `real_name` varchar(32) NOT NULL COMMENT '用户名称',
      `nick_name` varchar(32) NOT NULL COMMENT '用户匿名',
      PRIMARY KEY (`id`)
    ) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;
    
  2. 添加配置文件,可用使用yaml配置,即application.yml(与application.properties配置文件,没什么太大的区别)连接池的配置如下:

    spring:
      datasource:
        url: jdbc:mysql://127.0.0.1:3306/springboot_db?useUnicode=true&characterEncoding=UTF-8&useSSL=false
        driverClassName: com.mysql.jdbc.Driver
        username: root
        password: root
        type: com.alibaba.druid.pool.DruidDataSource
    
  3. 建立与数据库对应的pojo类:

    public class Author {
        private Long id;
        private String realName;
        private String nickName;
    
        // SET和GET方法略
    }
    

2. 方式一:与JdbcTemplate集成

  1. 引入jdbc的依赖

    通过JdbcTemplate来访问数据库,Spring boot提供了如下的starter来支撑:

    <dependency>
           <groupId>org.springframework.boot</groupId>
           <artifactId>spring-boot-starter-jdbc</artifactId>
    </dependency>
    

    再引入Junit测试Starter:

    <dependency>
           <groupId>org.springframework.boot</groupId>
           <artifactId>spring-boot-starter-test</artifactId>
           <scope>test</scope>
    </dependency>
    
  2. DAO接口类

    package com.guxf.dao;
    
    import java.util.List;
    
    import com.guxf.domain.Author;
    
    public interface AuthorDao {
    
        int add(Author author);
    
        int update(Author author);
    
        int delete(Long id);
    
        Author findAuthor(Long id);
    
        List<Author> findAuthorList();
    }
    
  3. DAO的实现类

    package com.guxf.impl;
    
    import java.util.HashMap;
    import java.util.List;
    import java.util.Map;
    
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.jdbc.core.namedparam.NamedParameterJdbcTemplate;
    import org.springframework.stereotype.Repository;
    
    import com.guxf.dao.AuthorDao;
    import com.guxf.domain.Author;
    
    @Repository
    public class AuthorDaoJdbcTemplateImpl implements AuthorDao{
        
        @Autowired
        private NamedParameterJdbcTemplate jdbcTemplate;
        
        @Override
        public int add(Author author) {
            String sql = "insert into t_author(id,real_name,nick_name) " +
                    "values(:id,:realName,:nickName)";
            Map<String, Object> param = new HashMap<>();
            param.put("id",author.getId());
            param.put("realName", author.getRealName());
            param.put("nickName", author.getNickName());
            
            return (int) jdbcTemplate.update(sql, param);
        }
    
        @Override
        public int update(Author author) {  
            return 0;
        }
    
        @Override
        public int delete(Long id) {    
            return 0;
        }
    
        @Override
        public Author findAuthor(Long id) {
            return null;
        }
    
        @Override
        public List<Author> findAuthorList() {  
              return null;
        }
    }
    
  4. 通过JUnit来测试上面的代码(需根据自己的实际Application名稍作修改):

    package com.guxf.boot;
    
    import org.junit.Test;
    import org.junit.runner.RunWith;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.boot.test.context.SpringBootTest;
    import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
    
    import com.guxf.BootApplication;
    import com.guxf.dao.AuthorDao;
    import com.guxf.domain.Author;
    
    @RunWith(SpringJUnit4ClassRunner.class)
    @SpringBootTest(classes = BootApplication.class)
    public class AuthorDaoTest {
    
        @Autowired
        private AuthorDao authorDao;
    
        @Test
        public void testInsert() {
            Author author = new Author();
            author.setId(1L);
            author.setRealName("莫言");
            author.setNickName("疯子");
            
            authorDao.add(author);
            System.out.println("插入成功!");
        }
    }
    
  5. 注意,Application类所在的包必须是其他包的父包,@SpringBootApplication这个注解继承了@ComponentScan,其默认情况下只会扫描Application类所在的包及子包,结构图:
    在这里插入图片描述
    Application代码示例:

    	package com.guxf;
    	
    	import org.springframework.boot.SpringApplication;
    	import org.springframework.boot.autoconfigure.SpringBootApplication;
    	
    	@SpringBootApplication
    	public class BootApplication {
    	
    	    public static void main(String[] args) {
    	        SpringApplication.run(BootApplication.class, args);
    	    }
    	}
    

3. 方式二:与JPA集成

  1. 引入依赖

    <!-- 引入JPA -->
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-data-jpa</artifactId>
            </dependency>
    
  2. 实体类
    对POJO类增加Entity的注解,并指定表名(如果不指定,默认的表名为author),然后指定ID的及其生成策略,这些都是JPA的知识,与Spring boot无关,代码:

    package com.guxf.domain;
    
    import javax.persistence.Entity;
    import javax.persistence.GeneratedValue;
    import javax.persistence.Id;
    
    @Entity(name = "t_author")
    public class Author {
        @Id
        @GeneratedValue
        private Long id;
        private String realName;
        private String nickName;
    
        // SET和GET方法略
    }
    
  3. 实现类
    需要继承JpaRepository这个类,这里我们实现了两个查询方法,第一个是符合JPA命名规范的查询,JPA会自动帮我们完成查询语句的生成,另一种方式是我们自己实现JPQL(JPA支持的一种类SQL的查询):

    package com.guxf.service;
    
    import java.util.List;
    import java.util.Optional;
    
    import org.springframework.data.jpa.repository.JpaRepository;
    import org.springframework.data.jpa.repository.Query;
    import org.springframework.data.repository.query.Param;
    
    import com.guxf.domain.Author;
    
    public interface AuthorRepository extends JpaRepository<Author, Long> {
    
        public Optional<Author> findById(Long userId);
    
        @Query("select au from com.guxf.domain.Author au where nick_name=:nickName")
        public List<Author> queryByNickName(@Param("nickName") String nickName);
    }
    
  4. 测试代码

    package com.guxf.boot;
    
    import static org.junit.Assert.*;
    
    import java.util.List;
    
    import org.junit.Test;
    import org.junit.runner.RunWith;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.boot.test.context.SpringBootTest;
    import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
    
    import com.guxf.BootApplication;
    import com.guxf.domain.Author;
    import com.guxf.service.AuthorRepository;
    
    @RunWith(SpringJUnit4ClassRunner.class)
    @SpringBootTest(classes = BootApplication.class)
    public class AuthorDaoTestJPA {
    
        @Autowired
        private AuthorRepository authorRepository;
    
        @Test
        public void testQuery() {
            List<Author> authorList = authorRepository.queryByNickName("疯子");
            assertTrue(authorList.size() > 0);
            System.out.println("成功!");
        }
    }
    

4. 方式三:与MyBatis集成

  1. 依赖及配置文件

    <!-- 引入Mybatis -->
            <dependency>
                <groupId>org.mybatis.spring.boot</groupId>
                <artifactId>mybatis-spring-boot-starter</artifactId>
                <version>1.1.1</version>
            </dependency>
    

    MyBatis一般可以通过XML或者注解的方式来指定操作数据库的SQL,首先,我们需要配置mapper的目录。我们在application.yml中进行配置:

    spring:
      datasource:
        url: jdbc:mysql://127.0.0.1:3306/springboot_db?useUnicode=true&characterEncoding=UTF-8&useSSL=false
        driverClassName: com.mysql.jdbc.Driver
        username: root
        password: root
        type: com.alibaba.druid.pool.DruidDataSource
    
    mybatis:
      #config-locations: mybatis/mybatis-config.xml
      mapper-locations: com/guxf/mapper/*.xml
      type-aliases-package: com.guxf.mapper.AuthorMapper
    
  2. mapper接口和XML文件

    package com.guxf.mapper;
    
    import org.apache.ibatis.annotations.Mapper;
    
    import com.baomidou.mybatisplus.mapper.BaseMapper;
    import com.guxf.domain.Author;
    @Mapper
    public interface AuthorMapper extends BaseMapper<Author> {
    
        public Long insertAuthor(Author author);
    
        public void updateAuthor(Author author);
    
        public Author queryById(Long id);
    }
    
    <?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.guxf.mapper.AuthorMapper">
        <!-- 此处需要注意的是,由于我们数据库定义的id存储类型为intbig,但是我们的Entity中Id是Long -->
        <!-- 前面的两种方式插入没问题,此处报了数据库类型异常 -->
        <!-- 所以数据库的ID类型改为了Varchar -->
        <resultMap id="authorMap" type="com.guxf.domain.Author">
            <id column="id" property="id" jdbcType="VARCHAR" />
            <result column="real_name" property="realName" jdbcType="VARCHAR" />
            <result column="nick_name" property="nickName" jdbcType="VARCHAR" />
        </resultMap>
    
        <sql id="base_column">
            id,real_name,nick_name
        </sql>
    
        <insert id="insertAuthor" parameterType="com.guxf.domain.Author">
            INSERT INTO
            t_author(
            <include refid="base_column" />
            )
            VALUE
            (#{id},#{realName},#{nickName})
        </insert>
    
        <update id="updateAuthor" parameterType="com.guxf.domain.Author">
            UPDATE t_author
            <set>
                <if test="realName != null">
                    real_name = #{realName},
                </if>
                <if test="nickName != null">
                    nick_name = #{nickName},
                </if>
            </set>
            WHERE id = #{id}
        </update>
    
        <select id="queryById" parameterType="Long" resultMap="authorMap">
            SELECT id,
            <include refid="base_column"></include>
            FROM t_author
            WHERE id = #{id}
        </select>
    
    </mapper>
    
  3. 测试类代码

    package com.guxf;
    
    import static org.junit.Assert.*;
    
    import org.junit.Test;
    import org.junit.runner.RunWith;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.boot.test.context.SpringBootTest;
    import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
    
    import com.guxf.BootApplication;
    import com.guxf.domain.Author;
    import com.guxf.mapper.AuthorMapper;
    
    @RunWith(SpringJUnit4ClassRunner.class)
    @SpringBootTest(classes = BootApplication.class)
    public class AuthorDaoTestMybatis {
    
        @Autowired
        private AuthorMapper mapper;
    
        @Test
        public void testInsert() {
            Author author = new Author();
            author.setId(4L);
            author.setRealName("唐钰");
            author.setNickName("小宝");
            mapper.insertAuthor(author);
            System.out.println("成功!");
        }
    
        @Test
        public void testMybatisQuery() {
            Author author = mapper.queryById(1L);
            assertNotNull(author);
            System.out.println(author);
        }
    
        @Test
        public void testUpdate() {
            Author author = mapper.queryById(2L);
            author.setNickName("月儿");
            author.setRealName("林月如");
            mapper.updateAuthor(author);
        }
    }
    

5. 方式四:与mybatis-plus集成

其实mybatis和mybatis-plus同出一脉,就像是spring和springboot的关系,不是创新,而是优化,mybatis-plus中最重要的就是,BaseMapper和IService这两个接口,其实IService的接口调用的还是BaseMapper,最终使用后者进行和数据库的连接操作。
基本上一般的数据库操作,直接写在service中即可,不需要再写繁琐的XML文件。



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