springBoot多数据源案例

多数据源在日常企业级系统开发中还常见，我也是最近接触比较多，写个案例给大家参考下：
框架：springBoot + mybaits
nosql: redis +mangodb

1.项目分多个模块，降低耦合度（图一）：

image.png

2.数据源有多个，建立不同数据源配置（图二、图三）

image.png

3.具体类的配置(直接贴代码）

@SuppressWarnings("all")
@Configuration
// 扫描 Mapper 接口并容器管理
@MapperScan(basePackages = OpsDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "opsSqlSessionFactory")
public class OpsDataSourceConfig {

    // 精确到主数据库目录，以便跟其他数据源隔离
    static final String PACKAGE = "com.iboxpay.dao.ops";
    static final String MAPPER_LOCATION = "classpath:mappers/ops/*/*.xml";

    @NotNull
    @Value("${ops.datasource.url}")
    private String url;

    @NotNull
    @Value("${ops.datasource.username}")
    private String username;

    @NotNull
    @Value("${ops.datasource.password}")
    private String password;

    @NotNull
    @Value("${ops.datasource.driverClassName}")
    private String driverClass;

    @NotNull
    @Value("${spring.datasource.druid.filters}")
    private String filters;

    @Bean
    @Primary
    DataSource opsDataSource() throws SQLException {

        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setUrl(url);
        dataSource.setFilters(filters);
        dataSource.setDefaultAutoCommit(false);
        return dataSource;
    }

    @Bean(name = "opsTransactionManager")
    @Primary
    public DataSourceTransactionManager opsTransactionManager() throws SQLException {
        return new DataSourceTransactionManager(opsDataSource());
    }

    @Bean(name = "opsSqlSessionFactory")
    @Primary
    public SqlSessionFactory opsSqlSessionFactory(
            @Qualifier("opsDataSource") DataSource opsDataSource) throws Exception {
        final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
        sessionFactory.setDataSource(opsDataSource);
        sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
                .getResources(OpsDataSourceConfig.MAPPER_LOCATION));
        return sessionFactory.getObject();
    }
}

import java.sql.SQLException;
import javax.sql.DataSource;
import javax.validation.constraints.NotNull;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;

import com.alibaba.druid.pool.DruidDataSource;
@Configuration
@MapperScan(basePackages = WechatDataSourceConfig.PACKAGE, sqlSessionFactoryRef = "wechatSqlSessionFactory")
public class WechatDataSourceConfig {

    static final String PACKAGE = "com.iboxpay.dao.wechat";
    static final String MAPPER_LOCATION = "classpath:mappers/wechat/*/*.xml";

    @Value("${wechat.datasource.url}")
    private String url;
    @Value("${wechat.datasource.username}")
    private String username;
    @Value("${wechat.datasource.password}")
    private String password;
    @Value("${wechat.datasource.driverClassName}")
    private String driverClass;
    @NotNull
    @Value("${spring.datasource.druid.filters}")
    private String filters;

    @Bean(name = "wechatDataSource")
    public DataSource wechatDataSource() throws SQLException {
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setDriverClassName(driverClass);
        dataSource.setUrl(url);
        dataSource.setFilters(filters);
        dataSource.setDefaultAutoCommit(false);
        return dataSource;
    }

    @Bean(name = "wechatDataSourceTransactionManager")
    public DataSourceTransactionManager wechatDataSourceTransactionManager(
            @Qualifier("wechatDataSource") DataSource wechatDataSource) {
        return new DataSourceTransactionManager(wechatDataSource);
    }

    @Bean(name = "wechatSqlSessionFactory")
    public SqlSessionFactory wechatSqlSessionFactory(
            @Qualifier("wechatDataSource") DataSource wechatDataSource) throws Exception {
        final SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean();
        sessionFactory.setDataSource(wechatDataSource);
        sessionFactory.setMapperLocations(new PathMatchingResourcePatternResolver()
                .getResources(MAPPER_LOCATION));
        return sessionFactory.getObject();
    }
}

使用@MapperScan 注解：
basePackages = WechatDataSourceConfig.PACKAGE 指定扫描的mapper接口所在的包
sqlSessionFactoryRef = "wechatSqlSessionFactory" 指定固定的数据源到sqlSessionFactoryRef 中

static final String MAPPER_LOCATION = "classpath:mappers/ops/*/*.xml";
 static final String MAPPER_LOCATION = "classpath:mappers/wechat/*/*.xml";

根据不同的MAPPER_LOCATION路径，读取的数据配置文件也不同，扫描的PACKAGE 也不同，这样就做到多数据源的操作。