一、基础多数据源配置
1. 添加依赖
org.springframework.bootspring-boot-starter-data-jpamysqlmysql-connector-java
2. 配置多个数据源
# 主数据源 spring.datasource.primary.url=jdbc:mysql://localhost:3306/db1 spring.datasource.primary.username=root spring.datasource.primary.password=123456 spring.datasource.primary.driver-class-name=com.mysql.cj.jdbc.Driver # 次数据源 spring.datasource.secondary.url=jdbc:mysql://localhost:3306/db2 spring.datasource.secondary.username=root spring.datasource.secondary.password=123456 spring.datasource.secondary.driver-class-name=com.mysql.cj.jdbc.Driver
3. 配置数据源Bean
@Configuration public class DataSourceConfig { // 主数据源 @Bean @Primary @ConfigurationProperties(prefix="spring.datasource.primary") public DataSource primaryDataSource() { return DataSourceBuilder.create().build(); } // 次数据源 @Bean @ConfigurationProperties(prefix="spring.datasource.secondary") public DataSource secondaryDataSource() { return DataSourceBuilder.create().build(); } }
二、JPA多数据源配置
1. 配置主数据源JPA
@Configuration @EnableTransactionManagement @EnableJpaRepositories( basePackages = "com.example.repository.primary", entityManagerFactoryRef = "primaryEntityManagerFactory", transactionManagerRef = "primaryTransactionManager" ) public class PrimaryJpaConfig { @Autowired @Qualifier("primaryDataSource") private DataSource primaryDataSource; @Primary @Bean public LocalContainerEntityManagerFactoryBean primaryEntityManagerFactory( EntityManagerFactoryBuilder builder) { return builder .dataSource(primaryDataSource) .packages("com.example.entity.primary") .persistenceUnit("primaryPersistenceUnit") .properties(jpaProperties()) .build(); } private Map jpaProperties() { Map props = new HashMap(); props.put("hibernate.hbm2ddl.auto", "update"); props.put("hibernate.dialect", "org.hibernate.dialect.MySQL8Dialect"); return props; } @Primary @Bean public PlatformTransactionManager primaryTransactionManager( @Qualifier("primaryEntityManagerFactory") EntityManagerFactory emf) { return new JpaTransactionManager(emf); } }
2. 配置次数据源JPA
@Configuration @EnableTransactionManagement @EnableJpaRepositories( basePackages = "com.example.repository.secondary", entityManagerFactoryRef = "secondaryEntityManagerFactory", transactionManagerRef = "secondaryTransactionManager" ) public class SecondaryJpaConfig { @Autowired @Qualifier("secondaryDataSource") private DataSource secondaryDataSource; @Bean public LocalContainerEntityManagerFactoryBean secondaryEntityManagerFactory( EntityManagerFactoryBuilder builder) { return builder .dataSource(secondaryDataSource) .packages("com.example.entity.secondary") .persistenceUnit("secondaryPersistenceUnit") .properties(jpaProperties()) .build(); } private Map jpaProperties() { Map props = new HashMap(); props.put("hibernate.hbm2ddl.auto", "update"); props.put("hibernate.dialect", "org.hibernate.dialect.MySQL8Dialect"); return props; } @Bean public PlatformTransactionManager secondaryTransactionManager( @Qualifier("secondaryEntityManagerFactory") EntityManagerFactory emf) { return new JpaTransactionManager(emf); } }
三、MyBatis多数据源配置
1. 主数据源配置
@Configuration @MapperScan( basePackages = "com.example.mapper.primary", sqlSessionFactoryRef = "primarySqlSessionFactory" ) public class PrimaryMyBatisConfig { @Primary @Bean @ConfigurationProperties(prefix = "spring.datasource.primary") public DataSource primaryDataSource() { return DataSourceBuilder.create().build(); } @Primary @Bean public SqlSessionFactory primarySqlSessionFactory( @Qualifier("primaryDataSource") DataSource dataSource) throws Exception { SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean(); sessionFactory.setDataSource(dataSource); sessionFactory.setMapperLocations( new PathMatchingResourcePatternResolver() .getResources("classpath:mapper/primary/*.xml")); return sessionFactory.getObject(); } @Primary @Bean public SqlSessionTemplate primarySqlSessionTemplate( @Qualifier("primarySqlSessionFactory") SqlSessionFactory sqlSessionFactory) { return new SqlSessionTemplate(sqlSessionFactory); } }
2. 次数据源配置
@Configuration @MapperScan( basePackages = "com.example.mapper.secondary", sqlSessionFactoryRef = "secondarySqlSessionFactory" ) public class SecondaryMyBatisConfig { @Bean @ConfigurationProperties(prefix = "spring.datasource.secondary") public DataSource secondaryDataSource() { return DataSourceBuilder.create().build(); } @Bean public SqlSessionFactory secondarySqlSessionFactory( @Qualifier("secondaryDataSource") DataSource dataSource) throws Exception { SqlSessionFactoryBean sessionFactory = new SqlSessionFactoryBean(); sessionFactory.setDataSource(dataSource); sessionFactory.setMapperLocations( new PathMatchingResourcePatternResolver() .getResources("classpath:mapper/secondary/*.xml")); return sessionFactory.getObject(); } @Bean public SqlSessionTemplate secondarySqlSessionTemplate( @Qualifier("secondarySqlSessionFactory") SqlSessionFactory sqlSessionFactory) { return new SqlSessionTemplate(sqlSessionFactory); } }
四、动态数据源配置(运行时切换)
1. 抽象路由数据源
public class DynamicDataSource extends AbstractRoutingDataSource { @Override protected Object determineCurrentLookupKey() { return DataSourceContextHolder.getDataSourceType(); } }
2. 数据源上下文持有者
public class DataSourceContextHolder { private static final ThreadLocal contextHolder = new ThreadLocal(); public static void setDataSourceType(String dataSourceType) { contextHolder.set(dataSourceType); } public static String getDataSourceType() { return contextHolder.get(); } public static void clearDataSourceType() { contextHolder.remove(); } }
3. 配置动态数据源
@Configuration public class DynamicDataSourceConfig { @Bean @ConfigurationProperties(prefix="spring.datasource.primary") public DataSource primaryDataSource() { return DataSourceBuilder.create().build(); } @Bean @ConfigurationProperties(prefix="spring.datasource.secondary") public DataSource secondaryDataSource() { return DataSourceBuilder.create().build(); } @Primary @Bean public DataSource dynamicDataSource( @Qualifier("primaryDataSource") DataSource primaryDataSource, @Qualifier("secondaryDataSource") DataSource secondaryDataSource) { Map
4. 使用AOP切换数据源
@Aspect @Component public class DataSourceAspect { @Pointcut("@annotation(com.example.annotation.TargetDataSource)") public void dataSourcePointCut() {} @Before("dataSourcePointCut()") public void before(JoinPoint point) { MethodSignature signature = (MethodSignature) point.getSignature(); Method method = signature.getMethod(); TargetDataSource ds = method.getAnnotation(TargetDataSource.class); if (ds == null) { DataSourceContextHolder.setDataSourceType("primary"); } else { DataSourceContextHolder.setDataSourceType(ds.value()); } } @After("dataSourcePointCut()") public void after(JoinPoint point) { DataSourceContextHolder.clearDataSourceType(); } }
5. 自定义注解
@Target({ElementType.METHOD, ElementType.TYPE}) @Retention(RetentionPolicy.RUNTIME) @Documented public @interface TargetDataSource { String value() default "primary"; }
6. 使用示例
@Service public class UserService { @Autowired private UserMapper userMapper; // 使用主数据源 public User getPrimaryUser(Long id) { return userMapper.selectById(id); } // 使用次数据源 @TargetDataSource("secondary") public User getSecondaryUser(Long id) { return userMapper.selectById(id); } }
五、多数据源事务管理
1. JTA分布式事务(Atomikos)
org.springframework.bootspring-boot-starter-jta-atomikos
2. 配置JTA数据源
# 主数据源 spring.jta.atomikos.datasource.primary.unique-resource-name=primaryDS spring.jta.atomikos.datasource.primary.xa-data-source-class-name=com.mysql.cj.jdbc.MysqlXADataSource spring.jta.atomikos.datasource.primary.xa-properties.url=jdbc:mysql://localhost:3306/db1 spring.jta.atomikos.datasource.primary.xa-properties.user=root spring.jta.atomikos.datasource.primary.xa-properties.password=123456 # 次数据源 spring.jta.atomikos.datasource.secondary.unique-resource-name=secondaryDS spring.jta.atomikos.datasource.secondary.xa-data-source-class-name=com.mysql.cj.jdbc.MysqlXADataSource spring.jta.atomikos.datasource.secondary.xa-properties.url=jdbc:mysql://localhost:3306/db2 spring.jta.atomikos.datasource.secondary.xa-properties.user=root spring.jta.atomikos.datasource.secondary.xa-properties.password=123456
3. 使用分布式事务
@Service public class OrderService { @Transactional // 跨数据源事务 public void placeOrder(Order order) { // 操作主数据源 primaryRepository.save(order); // 操作次数据源 auditRepository.logOrder(order); // 如果此处抛出异常,两个操作都会回滚 } }
六、最佳实践
-
命名规范:
- 为每个数据源使用清晰的命名(如customerDS, orderDS)
- 包结构按数据源分离(com.example.repository.primary / .secondary)
-
连接池配置:
spring.datasource.primary.hikari.maximum-pool-size=10 spring.datasource.secondary.hikari.maximum-pool-size=5
-
监控指标:
- 为每个数据源配置独立的监控
- 使用Spring Actuator暴露数据源健康指标
-
性能考虑:
- 高频访问的数据源使用更大的连接池
- 读写分离场景考虑主从数据源
-
测试策略:
- 为每个数据源编写独立的测试类
- 测试跨数据源事务的回滚行为
七、常见问题解决
问题1:循环依赖
// 解决方法:使用@DependsOn @Bean @DependsOn("dynamicDataSource") public PlatformTransactionManager transactionManager() { return new DataSourceTransactionManager(dynamicDataSource()); }
问题2:MyBatis缓存冲突
// 解决方法:为每个SqlSessionFactory配置独立的缓存环境 sqlSessionFactory.setConfiguration(configuration); configuration.setEnvironment(new Environment( "primaryEnv", transactionFactory, dataSource ));
问题3:事务传播行为异常
// 解决方法:明确指定事务管理器 @Transactional(transactionManager = "primaryTransactionManager") public void primaryOperation() {...}
通过以上配置,Spring Boot应用可以灵活地支持多数据源场景,无论是简单的多库连接还是复杂的动态数据源切换需求。根据实际业务场景选择最适合的配置方式,并注意事务管理和性能调优。
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