CREATE TABLE `studentinfo` (
  `stuId` int(4) NOT NULL DEFAULT '1001',
  `name` varchar(50) NOT NULL DEFAULT '',
  `age` int(4) NOT NULL DEFAULT '10',
  `sex` varchar(10) NOT NULL DEFAULT '男',
  `stuClass` int(11) NOT NULL DEFAULT '1',
  PRIMARY KEY (`stuId`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COMMENT='学生表'

实体类

@Data
public class StudentBo {
    private int stuId;
    private String name;
    private int age;
    private String sex;
    private int stuClass;
}

三、两种模式连接多数据源

1.1 、采用config配置模式，指定数据库操作层的路径实现多数据源

yml 添加多数据源,dbmysql 和 dbrich


spring:
  datasource:
    dbmysql:
      url: jdbc:mysql://XXXX
      username: XXX
      password: XXX
      typ: com.alibaba.druid.pool.DruidDataSource
      driver-class-name: com.mysql.jdbc.Driver
      filters: stat
      maxActive: 2
      initialSize: 1
      maxWait: 60000
      minIdle: 1
      timeBetweenEvictionRunsMillis: 60000
      minEvictableIdleTimeMillis: 300000
      validationQuery: SELECT 1
      testWhileIdle: true
      testOnBorrow: false
      testOnReturn: false
      poolPreparedStatements: true
      maxOpenPreparedStatements: 20
 
    dbrich:
      url: jdbc:mysql://XXXX
      username: XXXX
      password: XXXX
      typ: com.alibaba.druid.pool.DruidDataSource
      driver-class-name: com.mysql.jdbc.Driver
      filters: stat
      maxActive: 2
      initialSize: 1
      maxWait: 60000
      minIdle: 1
      timeBetweenEvictionRunsMillis: 60000
      minEvictableIdleTimeMillis: 300000
      validationQuery: SELECT 1
      testWhileIdle: true
      testOnBorrow: false
      testOnReturn: false
      poolPreparedStatements: true
      maxOpenPreparedStatements: 20

1.2、新增两个config配置

数据源 dbmysql配置

@Configuration
@MapperScan(basePackages = {"com.example.demo.**.mapper"}, sqlSessionFactoryRef = "sqlSessionFactorydbmysql",sqlSessionTemplateRef = "sqlSessionTemplatedbmysql")
public class DatasourcedbmysqlConfiguration {

    @Value("${mybatis.mapper-locations}")
    private String mapperLocation;
    @Value("${spring.datasource.dbmysql.url}")
    private String jdbcUrl;
    @Value("${spring.datasource.dbmysql.driver-class-name}")
    private String driverClassName;
    @Value("${spring.datasource.dbmysql.username}")
    private String username;
    @Value("${spring.datasource.dbmysql.password}")
    private String password;
    @Value("${spring.datasource.dbmysql.initialSize}")
    private int initialSize;
    @Value("${spring.datasource.dbmysql.minIdle}")
    private int minIdle;
    @Value("${spring.datasource.dbmysql.maxActive}")
    private int maxActive;

    @Bean(name = "dbmysql")
    @Primary
    public DataSource dataSource() {
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUrl(jdbcUrl);
        dataSource.setDriverClassName(driverClassName);
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setInitialSize(initialSize);
        dataSource.setMinIdle(minIdle);
        dataSource.setMaxActive(maxActive);

        return dataSource;
    }

    @Bean("sqlSessionFactorydbmysql")
    public SqlSessionFactory sqlSessionFactory(@Qualifier("dbmysql") DataSource dataSource) throws Exception {
        SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
        sqlSessionFactoryBean.setDataSource(dataSource);
        sqlSessionFactoryBean.setMapperLocations(
                new PathMatchingResourcePatternResolver().getResources(mapperLocation));

        return sqlSessionFactoryBean.getObject();
    }

    @Bean("sqlSessionTemplatedbmysql")
    public SqlSessionTemplate sqlSessionTemplate(@Qualifier("sqlSessionFactorydbmysql") SqlSessionFactory sqlSessionFactory) {
        return new SqlSessionTemplate(sqlSessionFactory);
    }

    @Bean("transactionManagerdbmysql")
    public DataSourceTransactionManager transactionManager(@Qualifier("dbmysql")DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }

}

数据源 dbrich 配置

@Configuration
@MapperScan(basePackages = {"com.example.demo.**.dao"}, sqlSessionFactoryRef = "sqlSessionFactorydbrich")
public class DatasourcedbadbConfiguration {

    @Value("${mybatis.mapper-locations}")
    private String mapperLocation;
    @Value("${spring.datasource.dbrich.url}")
    private String jdbcUrl;
    @Value("${spring.datasource.dbrich.driver-class-name}")
    private String driverClassName;
    @Value("${spring.datasource.dbrich.username}")
    private String username;
    @Value("${spring.datasource.dbrich.password}")
    private String password;
    @Value("${spring.datasource.dbrich.initialSize}")
    private int initialSize;
    @Value("${spring.datasource.dbrich.minIdle}")
    private int minIdle;
    @Value("${spring.datasource.dbrich.maxActive}")
    private int maxActive;

    @Bean(name = "dbrich")
    public DataSource dataSource() {
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUrl(jdbcUrl);
        dataSource.setDriverClassName(driverClassName);
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setInitialSize(initialSize);
        dataSource.setMinIdle(minIdle);
        dataSource.setMaxActive(maxActive);

        return dataSource;
    }

    @Bean("sqlSessionFactorydbrich")
    public SqlSessionFactory sqlSessionFactory(@Qualifier("dbrich") DataSource dataSource) throws Exception {
        SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
        sqlSessionFactoryBean.setDataSource(dataSource);
        sqlSessionFactoryBean.setMapperLocations(
                new PathMatchingResourcePatternResolver().getResources(mapperLocation));

        return sqlSessionFactoryBean.getObject();
    }

    @Bean("sqlSessionTemplatedbrich")
    public SqlSessionTemplate sqlSessionTemplate(@Qualifier("sqlSessionFactorydbrich") SqlSessionFactory sqlSessionFactory) {
        return new SqlSessionTemplate(sqlSessionFactory);
    }

    @Bean("transactionManagerdbrich")
    public DataSourceTransactionManager transactionManager(@Qualifier("dbrich")DataSource dataSource) {
        return new DataSourceTransactionManager(dataSource);
    }

}

其中数据源 dbmysql 加上了 @Primary ，代表是默认使用的数据源

@MapperScan(basePackages = {"com.example.demo.**.mapper"}

这个注解是指定对应的数据源操作层的路径，dbmysql 指定的是mapper 包下的，dbrich 指定的是 dao 包下的

1.3 逻辑层

新建 dao 和mapper 两个包，

public interface StudentinfoDao {

    List<StudentBo> selectStudentdbrich();
}

public interface StudentMapper {
    List<StudentBo> selectStudent();

}

@Service
public class StudentService {

    @Resource
    private StudentinfoDao studentinfoDao;

    @Resource
    private StudentMapper studentMapper;

    public List<StudentBo> selectStudentdbrich() {

        return  studentinfoDao.selectStudentdbrich();
    }

    public List<StudentBo> selectStudent() {

        return  studentMapper.selectStudent();
    }


}

@RestController
@RequestMapping("/studentinfoController")
public class StudentinfoController {

    @Autowired
    private StudentService studentService ;

    @RequestMapping("/selectStudent")
    public List<StudentBo> selectStudent(){
        return studentService.selectStudent();
    }

    @RequestMapping("/selectStudentdbrich")
    public List<StudentBo> selectStudentdbrich(){
        return studentService.selectStudentdbrich();
    }

}

@SpringBootApplication
@Import({DatasourcedbadbConfiguration.class, DatasourcedbmysqlConfiguration.class})
public class DemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(DemoApplication.class, args);
    }

}

注意：启动类只需要将两个配置类加上不需要添加注解@MapperScan

1.4、启动查看

数据源dbmysql的方法

数据源dbadb的方法

到这里就实现了分包多数据源整合了，下面换另一种方式。

2、采用dynamic注解的形式添加多数据源

2.1 pom.xml 新增dynamic 引用

<dependency>
    <groupId>org.mybatis</groupId>
    <artifactId>mybatis</artifactId>
    <version>3.5.6</version>
</dependency>

2.2 application.yml 新增多数据源

# 多数据源
spring:
  datasource:
    dynamic:
      primary: dbmysql #设置默认的数据源或者数据源组,默认值即为master
      strict: false #设置严格模式,默认false不启动. 启动后在未匹配到指定数据源时候会抛出异常,不启动则使用默认数据源.
      datasource:
        # 主库数据源
        dbmysql:
          type: com.alibaba.druid.pool.DruidDataSource
          driver-class-name: com.mysql.jdbc.Driver
          #本地
          url: jdbc:mysql://XXXX
          username: XXXX
          password: XXXX
        # 从库数据源
        dbadb:
          # 从数据源开关/默认关闭
          enabled: true
          type: com.alibaba.druid.pool.DruidDataSource
          driverClassName: com.mysql.jdbc.Driver
          url: jdbc:mysql://XXXX
          username: XXXXX
          password: XXXXX
    # 初始连接数
    initialSize: 5
    # 最小连接池数量
    minIdle: 10
    # 最大连接池数量
    maxActive: 20
    # 配置获取连接等待超时的时间
    maxWait: 60000
    # 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
    timeBetweenEvictionRunsMillis: 60000
    # 配置一个连接在池中最小生存的时间，单位是毫秒
    minEvictableIdleTimeMillis: 300000
    # 配置一个连接在池中最大生存的时间，单位是毫秒
    maxEvictableIdleTimeMillis: 900000
    # 配置检测连接是否有效
    #SELECT 1 FROM DUAL
    validationQuery: select 'x'
    testWhileIdle: true
    testOnBorrow: false
    testOnReturn: false
    webStatFilter:
      enabled: true
    statViewServlet:
      enabled: true
      # 设置白名单，不填则允许所有访问
      allow:
      url-pattern: #/druid/*
      # 控制台管理用户名和密码
      login-username:
      login-password:
    filter:
      stat:
        enabled: true
        # 慢SQL记录
        log-slow-sql: true
        slow-sql-millis: 1000
        merge-sql: true
      wall:
        config:
          multi-statement-allow: true

2.3 逻辑层

因为是注解的方式，所以启动类需要指定dao层的路径
@SpringBootApplication
@MapperScan(basePackages = {"com.example.demo.**.dao", "com.example.demo.**.mapper"})
public class DemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(DemoApplication.class, args);
    }

}

controller、service都一样，不同的是dao

@DS("dbadb")
public interface StudentinfoDao {

    List<StudentBo> selectStudentdbrich();
}

@DS("admysql")
public interface StudentMapper {
    List<StudentBo> selectStudent();

}

这里只需要直接在dao层加上注解DS 配置不同的数据源就可以

默认的数据源可以不需要加注解

2.4启动查看

dbmysql

dbadb

到这里就结束了，可以看出来引用dynamic 注解的方式来加入多数据源会方便很多，不需要额外加配置。

如果觉得对你有帮助的话欢迎点赞关注哦！

声明：本文内容由网友自发贡献，不代表【wpsshop博客】立场，版权归原作者所有，本站不承担相应法律责任。如您发现有侵权的内容，请联系我们。转载请注明出处：https://www.wpsshop.cn/article/detail/52383