hibernate - Spring @Transactional with a transaction across multiple data sources

Hibernate - Spring @Transactional with a transaction across multiple data sources

When dealing with multiple data sources in a Spring application and you need a transaction across these data sources, you can use the @Transactional annotation along with the JtaTransactionManager. This allows you to have a distributed transaction managed by a Java EE container or an external transaction manager.

Here's a general guide on how to achieve this:

  1. Configure Datasources: Configure your datasources in the Spring configuration file, and create DataSource and EntityManagerFactory beans for each datasource.

    @Configuration public class DataSourceConfig { @Primary @Bean(name = "primaryDataSource") @ConfigurationProperties(prefix = "spring.datasource.primary") public DataSource dataSource() { return DataSourceBuilder.create().build(); } @Bean(name = "secondaryDataSource") @ConfigurationProperties(prefix = "spring.datasource.secondary") public DataSource dataSourceSecondary() { return DataSourceBuilder.create().build(); } @Primary @Bean(name = "entityManagerFactory") public LocalContainerEntityManagerFactoryBean entityManagerFactory( EntityManagerFactoryBuilder builder, @Qualifier("primaryDataSource") DataSource dataSource) { return builder .dataSource(dataSource) .packages("your.primary.entity.package") .persistenceUnit("primary") .build(); } @Bean(name = "entityManagerFactorySecondary") public LocalContainerEntityManagerFactoryBean entityManagerFactorySecondary( EntityManagerFactoryBuilder builder, @Qualifier("secondaryDataSource") DataSource dataSourceSecondary) { return builder .dataSource(dataSourceSecondary) .packages("your.secondary.entity.package") .persistenceUnit("secondary") .build(); } } 
  2. Configure Transaction Manager: Configure a JtaTransactionManager to handle distributed transactions.

    @Configuration public class JtaConfig { @Bean public JtaTransactionManager transactionManager() { return new JtaTransactionManager(); } } 
  3. Use @Transactional Annotation: Use the @Transactional annotation on your service methods where you need a transaction across multiple datasources.

    @Service public class MyService { @Autowired private MyRepository myRepository; // Inject your repositories @Transactional public void performTransactionAcrossDataSources() { // Perform database operations using repositories // Transactions across multiple datasources are managed by the JtaTransactionManager myRepository.save(entity1); myRepositorySecondary.save(entity2); } } 
  4. Enable Transaction Management: Make sure you have @EnableTransactionManagement on one of your configuration classes to enable Spring's transaction management.

    @Configuration @EnableTransactionManagement public class AppConfig { // ... } 

By using the @Transactional annotation and the JtaTransactionManager, you can achieve distributed transactions across multiple datasources in a Spring application. Make sure to adjust the configuration and package names according to your project structure.

Examples

  1. "Spring @Transactional multiple data sources"

    • Code Implement:
      // Define multiple data source configurations @Configuration public class DataSourceConfig { @Primary @Bean(name = "dataSource1") // DataSource configuration for the first database @Bean(name = "dataSource2") // DataSource configuration for the second database } // Use @Transactional with multiple data sources @Service public class MyService { @Autowired @Qualifier("dataSource1") private DataSource dataSource1; @Autowired @Qualifier("dataSource2") private DataSource dataSource2; @Transactional(transactionManager = "transactionManager1") public void methodWithTransactionOnDataSource1() { // Code interacting with dataSource1 } @Transactional(transactionManager = "transactionManager2") public void methodWithTransactionOnDataSource2() { // Code interacting with dataSource2 } @Transactional public void methodWithTransactionOnBothDataSources() { // Code interacting with both dataSource1 and dataSource2 } } 
    • Description: Define multiple data sources in the configuration, and use @Transactional(transactionManager = "transactionManagerX") to specify the transaction manager for each method.
  2. "Spring @Transactional multiple transaction managers"

    • Code Implement:
      // Configure multiple transaction managers @Configuration public class TransactionManagerConfig { @Primary @Bean(name = "transactionManager1") public PlatformTransactionManager transactionManager1(EntityManagerFactoryBuilder builder, @Qualifier("dataSource1") DataSource dataSource) { return new JpaTransactionManager(entityManagerFactory1(builder, dataSource).getObject()); } @Bean(name = "transactionManager2") public PlatformTransactionManager transactionManager2(EntityManagerFactoryBuilder builder, @Qualifier("dataSource2") DataSource dataSource) { return new JpaTransactionManager(entityManagerFactory2(builder, dataSource).getObject()); } } 
    • Description: Configure multiple transaction managers corresponding to different data sources.
  3. "Spring @Transactional multiple data sources JPA"

    • Code Implement:
      // Configure multiple JPA EntityManagerFactories @Configuration public class JpaConfig { @Primary @Bean(name = "entityManagerFactory1") public LocalContainerEntityManagerFactoryBean entityManagerFactory1(EntityManagerFactoryBuilder builder, @Qualifier("dataSource1") DataSource dataSource) { // Configure entityManagerFactory1 } @Bean(name = "entityManagerFactory2") public LocalContainerEntityManagerFactoryBean entityManagerFactory2(EntityManagerFactoryBuilder builder, @Qualifier("dataSource2") DataSource dataSource) { // Configure entityManagerFactory2 } } 
    • Description: Define multiple LocalContainerEntityManagerFactoryBean beans for different data sources.
  4. "Spring @Transactional multiple data sources Hibernate"

    • Code Implement:
      // Configure multiple Hibernate transaction managers @Configuration public class HibernateConfig { @Primary @Bean(name = "transactionManager1") public HibernateTransactionManager transactionManager1(@Qualifier("sessionFactory1") SessionFactory sessionFactory) { return new HibernateTransactionManager(sessionFactory); } @Bean(name = "transactionManager2") public HibernateTransactionManager transactionManager2(@Qualifier("sessionFactory2") SessionFactory sessionFactory) { return new HibernateTransactionManager(sessionFactory); } } 
    • Description: Configure multiple HibernateTransactionManagers corresponding to different session factories.
  5. "Spring @Transactional multiple data sources propagation"

    • Code Implement:
      // Use @Transactional with propagation for multiple data sources @Service public class MyService { @Transactional(transactionManager = "transactionManager1", propagation = Propagation.REQUIRED) public void methodWithTransactionOnDataSource1() { // Code interacting with dataSource1 } @Transactional(transactionManager = "transactionManager2", propagation = Propagation.REQUIRED) public void methodWithTransactionOnDataSource2() { // Code interacting with dataSource2 } @Transactional(propagation = Propagation.REQUIRED) public void methodWithTransactionOnBothDataSources() { // Code interacting with both dataSource1 and dataSource2 } } 
    • Description: Use @Transactional(propagation = Propagation.REQUIRED) to specify the propagation behavior for transactions.
  6. "Spring @Transactional multiple data sources rollback"

    • Code Implement:
      // Use @Transactional with rollbackFor for multiple data sources @Transactional(transactionManager = "transactionManager1", rollbackFor = Exception.class) public void methodWithTransactionAndRollbackOnDataSource1() { // Code interacting with dataSource1 } 
    • Description: Use @Transactional(rollbackFor = Exception.class) to specify exceptions that trigger a rollback.
  7. "Spring @Transactional multiple data sources read-only"

    • Code Implement:
      // Use @Transactional with readOnly for multiple data sources @Transactional(transactionManager = "transactionManager1", readOnly = true) public void readOnlyMethodOnDataSource1() { // Code interacting with dataSource1 (read-only) } 
    • Description: Use @Transactional(readOnly = true) to indicate a read-only transaction.
  8. "Spring @Transactional multiple data sources isolation level"

    • Code Implement:
      // Use @Transactional with isolation level for multiple data sources @Transactional(transactionManager = "transactionManager1", isolation = Isolation.SERIALIZABLE) public void methodWithSerializableIsolationOnDataSource1() { // Code interacting with dataSource1 (SERIALIZABLE isolation) } 
    • Description: Use @Transactional(isolation = Isolation.SERIALIZABLE) to set the isolation level.
  9. "Spring @Transactional multiple data sources propagation nested"

    • Code Implement:
      // Use @Transactional with nested propagation for multiple data sources @Transactional(transactionManager = "transactionManager1", propagation = Propagation.NESTED) public void methodWithNestedPropagationOnDataSource1() { // Code interacting with dataSource1 } 
    • Description: Use @Transactional(propagation = Propagation.NESTED) for nested transactions.
  10. "Spring @Transactional multiple data sources timeout"

    • Code Implement:
      // Use @Transactional with timeout for multiple data sources @Transactional(transactionManager = "transactionManager1", timeout = 30) public void methodWithTimeoutOnDataSource1() { // Code interacting with dataSource1 } 
    • Description: Use @Transactional(timeout = 30) to set a transaction timeout in seconds.

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