For the latest stable version, please use Spring Boot 3.4.1!

Data Access

Spring Boot includes a number of starters for working with data sources. This section answers questions related to doing so.

Configure a Custom DataSource

To configure your own DataSource, define a @Bean of that type in your configuration. Spring Boot reuses your DataSource anywhere one is required, including database initialization. If you need to externalize some settings, you can bind your DataSource to the environment (see Third-party Configuration).

The following example shows how to define a data source in a bean:

Java
Kotlin

import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
public class MyDataSourceConfiguration {

	@Bean
	@ConfigurationProperties(prefix = "app.datasource")
	public SomeDataSource dataSource() {
		return new SomeDataSource();
	}

}

import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
class MyDataSourceConfiguration {

	@Bean
	@ConfigurationProperties(prefix = "app.datasource")
	fun dataSource(): SomeDataSource {
		return SomeDataSource()
	}

}

The following example shows how to define a data source by setting its properties:

Properties
YAML

app.datasource.url=jdbc:h2:mem:mydb
app.datasource.username=sa
app.datasource.pool-size=30

app:
  datasource:
    url: "jdbc:h2:mem:mydb"
    username: "sa"
    pool-size: 30

Assuming that SomeDataSource has regular JavaBean properties for the URL, the username, and the pool size, these settings are bound automatically before the DataSource is made available to other components.

Spring Boot also provides a utility builder class, called DataSourceBuilder, that can be used to create one of the standard data sources (if it is on the classpath). The builder can detect which one to use based on what is available on the classpath. It also auto-detects the driver based on the JDBC URL.

The following example shows how to create a data source by using a DataSourceBuilder:

Java
Kotlin

import javax.sql.DataSource;

import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
public class MyDataSourceConfiguration {

	@Bean
	@ConfigurationProperties("app.datasource")
	public DataSource dataSource() {
		return DataSourceBuilder.create().build();
	}

}

import javax.sql.DataSource

import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.boot.jdbc.DataSourceBuilder
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
class MyDataSourceConfiguration {

	@Bean
	@ConfigurationProperties("app.datasource")
	fun dataSource(): DataSource {
		return DataSourceBuilder.create().build()
	}

}

To run an app with that DataSource, all you need is the connection information. Pool-specific settings can also be provided. Check the implementation that is going to be used at runtime for more details.

The following example shows how to define a JDBC data source by setting properties:

Properties
YAML

app.datasource.url=jdbc:mysql://localhost/test
app.datasource.username=dbuser
app.datasource.password=dbpass
app.datasource.pool-size=30

app:
  datasource:
    url: "jdbc:mysql://localhost/test"
    username: "dbuser"
    password: "dbpass"
    pool-size: 30

However, there is a catch due to the method’s DataSource return type. This hides the actual type of the connection pool so no configuration property metadata is generated for your custom DataSource and no auto-completion is available in your IDE. To address this problem, use the builder’s type(Class) method to specify the type of DataSource to be built and update the method’s return type. For example, the following shows how to create a HikariDataSource with DataSourceBuilder:

Java
Kotlin

import com.zaxxer.hikari.HikariDataSource;

import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
public class MyDataSourceConfiguration {

	@Bean
	@ConfigurationProperties("app.datasource")
	public HikariDataSource dataSource() {
		return DataSourceBuilder.create().type(HikariDataSource.class).build();
	}

}

import com.zaxxer.hikari.HikariDataSource
import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.boot.jdbc.DataSourceBuilder
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
class MyDataSourceConfiguration {

	@Bean
	@ConfigurationProperties("app.datasource")
	fun dataSource(): HikariDataSource {
		return DataSourceBuilder.create().type(HikariDataSource::class.java).build()
	}

}

Unfortunately, this basic setup does not work because Hikari has no url property. Instead, it has a jdbc-url property which means that you must rewrite your configuration as follows:

Properties
YAML

app.datasource.jdbc-url=jdbc:mysql://localhost/test
app.datasource.username=dbuser
app.datasource.password=dbpass
app.datasource.pool-size=30

app:
  datasource:
    jdbc-url: "jdbc:mysql://localhost/test"
    username: "dbuser"
    password: "dbpass"
    pool-size: 30

To address this problem, make use of DataSourceProperties which will handle the url to jdbc-url translation for you. You can initialize a DataSourceBuilder from the state of any DataSourceProperties object using its initializeDataSourceBuilder() method. You could inject the DataSourceProperties that Spring Boot creates automatically, however, that would split your configuration across spring.datasource.* and app.datasource.*. To avoid this, define a custom DataSourceProperties with a custom configuration properties prefix, as shown in the following example:

Java
Kotlin

import com.zaxxer.hikari.HikariDataSource;

import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

@Configuration(proxyBeanMethods = false)
public class MyDataSourceConfiguration {

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource")
	public DataSourceProperties dataSourceProperties() {
		return new DataSourceProperties();
	}

	@Bean
	@ConfigurationProperties("app.datasource.configuration")
	public HikariDataSource dataSource(DataSourceProperties properties) {
		return properties.initializeDataSourceBuilder().type(HikariDataSource.class).build();
	}

}

import com.zaxxer.hikari.HikariDataSource
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties
import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.context.annotation.Primary

@Configuration(proxyBeanMethods = false)
class MyDataSourceConfiguration {

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource")
	fun dataSourceProperties(): DataSourceProperties {
		return DataSourceProperties()
	}

	@Bean
	@ConfigurationProperties("app.datasource.configuration")
	fun dataSource(properties: DataSourceProperties): HikariDataSource {
		return properties.initializeDataSourceBuilder().type(HikariDataSource::class.java).build()
	}

}

This setup is equivalent to what Spring Boot does for you by default, except that the pool’s type is specified in code and its settings are exposed as app.datasource.configuration.* properties. DataSourceProperties takes care of the url to jdbc-url translation, so you can configure it as follows:

Properties
YAML

app.datasource.url=jdbc:mysql://localhost/test
app.datasource.username=dbuser
app.datasource.password=dbpass
app.datasource.configuration.maximum-pool-size=30

app:
  datasource:
    url: "jdbc:mysql://localhost/test"
    username: "dbuser"
    password: "dbpass"
    configuration:
      maximum-pool-size: 30

Note that, as the custom configuration specifies in code that Hikari should be used, app.datasource.type will have no effect.

As described in Supported Connection Pools, DataSourceBuilder supports several different connection pools. To use a pool other than Hikari, add it to the classpath, use the type(Class) method to specify the pool class to use, and update the @Bean method’s return type to match. This will also provide you with configuration property metadata for the specific connection pool that you’ve chosen.

Spring Boot will expose Hikari-specific settings to spring.datasource.hikari. This example uses a more generic configuration sub namespace as the example does not support multiple datasource implementations.

See Configure a DataSource and the DataSourceAutoConfiguration class for more details.

Configure Two DataSources

If you need to configure multiple data sources, you can apply the same tricks that were described in the previous section. You must, however, mark one of the DataSource instances as @Primary, because various auto-configurations down the road expect to be able to get one by type.

If you create your own DataSource, the auto-configuration backs off. In the following example, we provide the exact same feature set as the auto-configuration provides on the primary data source:

Java
Kotlin

import com.zaxxer.hikari.HikariDataSource;

import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

@Configuration(proxyBeanMethods = false)
public class MyDataSourcesConfiguration {

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first")
	public DataSourceProperties firstDataSourceProperties() {
		return new DataSourceProperties();
	}

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first.configuration")
	public HikariDataSource firstDataSource(DataSourceProperties firstDataSourceProperties) {
		return firstDataSourceProperties.initializeDataSourceBuilder().type(HikariDataSource.class).build();
	}

	@Bean
	@ConfigurationProperties("app.datasource.second")
	public HikariDataSource secondDataSource() {
		return DataSourceBuilder.create().type(HikariDataSource.class).build();
	}

}

import com.zaxxer.hikari.HikariDataSource
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties
import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.boot.jdbc.DataSourceBuilder
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.context.annotation.Primary

@Configuration(proxyBeanMethods = false)
class MyDataSourcesConfiguration {

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first")
	fun firstDataSourceProperties(): DataSourceProperties {
		return DataSourceProperties()
	}

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first.configuration")
	fun firstDataSource(firstDataSourceProperties: DataSourceProperties): HikariDataSource {
		return firstDataSourceProperties.initializeDataSourceBuilder().type(HikariDataSource::class.java).build()
	}

	@Bean
	@ConfigurationProperties("app.datasource.second")
	fun secondDataSource(): HikariDataSource {
		return DataSourceBuilder.create().type(HikariDataSource::class.java).build()
	}

}

firstDataSourceProperties has to be flagged as @Primary so that the database initializer feature uses your copy (if you use the initializer).

Both data sources are also bound for advanced customizations. For instance, you could configure them as follows:

Properties
YAML

app.datasource.first.url=jdbc:mysql://localhost/first
app.datasource.first.username=dbuser
app.datasource.first.password=dbpass
app.datasource.first.configuration.maximum-pool-size=30
app.datasource.second.url=jdbc:mysql://localhost/second
app.datasource.second.username=dbuser
app.datasource.second.password=dbpass
app.datasource.second.max-total=30

app:
  datasource:
    first:
      url: "jdbc:mysql://localhost/first"
      username: "dbuser"
      password: "dbpass"
      configuration:
        maximum-pool-size: 30

    second:
      url: "jdbc:mysql://localhost/second"
      username: "dbuser"
      password: "dbpass"
      max-total: 30

You can apply the same concept to the secondary DataSource as well, as shown in the following example:

Java
Kotlin

import com.zaxxer.hikari.HikariDataSource;

import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

@Configuration(proxyBeanMethods = false)
public class MyCompleteDataSourcesConfiguration {

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first")
	public DataSourceProperties firstDataSourceProperties() {
		return new DataSourceProperties();
	}

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first.configuration")
	public HikariDataSource firstDataSource(DataSourceProperties firstDataSourceProperties) {
		return firstDataSourceProperties.initializeDataSourceBuilder().type(HikariDataSource.class).build();
	}

	@Bean
	@ConfigurationProperties("app.datasource.second")
	public DataSourceProperties secondDataSourceProperties() {
		return new DataSourceProperties();
	}

	@Bean
	@ConfigurationProperties("app.datasource.second.configuration")
	public HikariDataSource secondDataSource(
			@Qualifier("secondDataSourceProperties") DataSourceProperties secondDataSourceProperties) {
		return secondDataSourceProperties.initializeDataSourceBuilder().type(HikariDataSource.class).build();
	}

}

import com.zaxxer.hikari.HikariDataSource
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties
import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.context.annotation.Primary

@Configuration(proxyBeanMethods = false)
class MyCompleteDataSourcesConfiguration {

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first")
	fun firstDataSourceProperties(): DataSourceProperties {
		return DataSourceProperties()
	}

	@Bean
	@Primary
	@ConfigurationProperties("app.datasource.first.configuration")
	fun firstDataSource(firstDataSourceProperties: DataSourceProperties): HikariDataSource {
		return firstDataSourceProperties.initializeDataSourceBuilder().type(HikariDataSource::class.java).build()
	}

	@Bean
	@ConfigurationProperties("app.datasource.second")
	fun secondDataSourceProperties(): DataSourceProperties {
		return DataSourceProperties()
	}

	@Bean
	@ConfigurationProperties("app.datasource.second.configuration")
	fun secondDataSource(secondDataSourceProperties: DataSourceProperties): HikariDataSource {
		return secondDataSourceProperties.initializeDataSourceBuilder().type(HikariDataSource::class.java).build()
	}

}

The preceding example configures two data sources on custom configuration property namespaces with the same logic as Spring Boot would use in auto-configuration. Note that each configuration sub namespace provides advanced settings based on the chosen implementation.

As with configuring a single custom DataSource, the type of one or both of the DataSource beans can be customized using the type(Class) method on DataSourceBuilder. See Supported Connection Pools for details of the supported types.

Use Spring Data Repositories

Spring Data can create implementations of Repository interfaces of various flavors. Spring Boot handles all of that for you, as long as those Repository implementations are included in one of the auto-configuration packages, typically the package (or a sub-package) of your main application class that is annotated with @SpringBootApplication or @EnableAutoConfiguration.

For many applications, all you need is to put the right Spring Data dependencies on your classpath. There is a spring-boot-starter-data-jpa for JPA, spring-boot-starter-data-mongodb for Mongodb, and various other starters for supported technologies. To get started, create some repository interfaces to handle your @Entity objects.

Spring Boot determines the location of your Repository implementations by scanning the auto-configuration packages. For more control, use the @Enable…Repositories annotations from Spring Data.

For more about Spring Data, see the Spring Data project page.

Separate @Entity Definitions from Spring Configuration

Spring Boot determines the location of your @Entity definitions by scanning the auto-configuration packages. For more control, use the @EntityScan annotation, as shown in the following example:

Java
Kotlin

import org.springframework.boot.autoconfigure.EnableAutoConfiguration;
import org.springframework.boot.autoconfigure.domain.EntityScan;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
@EnableAutoConfiguration
@EntityScan(basePackageClasses = City.class)
public class MyApplication {

	// ...

}

import org.springframework.boot.autoconfigure.EnableAutoConfiguration
import org.springframework.boot.autoconfigure.domain.EntityScan
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
@EnableAutoConfiguration
@EntityScan(basePackageClasses = [City::class])
class MyApplication {

	// ...

}

Filter Scanned @Entity Definitions

It is possible to filter the @Entity definitions using a ManagedClassNameFilter bean. This can be useful in tests when only a sub-set of the available entities should be considered. In the following example, only entities from the com.example.app.customer package are included:

Java
Kotlin

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.orm.jpa.persistenceunit.ManagedClassNameFilter;

@Configuration(proxyBeanMethods = false)
public class MyEntityScanConfiguration {

	@Bean
	public ManagedClassNameFilter entityScanFilter() {
		return (className) -> className.startsWith("com.example.app.customer");
	}

}

import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.orm.jpa.persistenceunit.ManagedClassNameFilter

@Configuration(proxyBeanMethods = false)
class MyEntityScanConfiguration {

	@Bean
	fun entityScanFilter() : ManagedClassNameFilter {
		return ManagedClassNameFilter { className ->
			className.startsWith("com.example.app.customer")
		}
	}
}

Configure JPA Properties

Spring Data JPA already provides some vendor-independent configuration options (such as those for SQL logging), and Spring Boot exposes those options and a few more for Hibernate as external configuration properties. Some of them are automatically detected according to the context so you should not have to set them.

The spring.jpa.hibernate.ddl-auto is a special case, because, depending on runtime conditions, it has different defaults. If an embedded database is used and no schema manager (such as Liquibase or Flyway) is handling the DataSource, it defaults to create-drop. In all other cases, it defaults to none.

The dialect to use is detected by the JPA provider. If you prefer to set the dialect yourself, set the spring.jpa.database-platform property.

The most common options to set are shown in the following example:

Properties
YAML

spring.jpa.hibernate.naming.physical-strategy=com.example.MyPhysicalNamingStrategy
spring.jpa.show-sql=true

spring:
  jpa:
    hibernate:
      naming:
        physical-strategy: "com.example.MyPhysicalNamingStrategy"
    show-sql: true

In addition, all properties in spring.jpa.properties.* are passed through as normal JPA properties (with the prefix stripped) when the local EntityManagerFactory is created.

You need to ensure that names defined under spring.jpa.properties.* exactly match those expected by your JPA provider. Spring Boot will not attempt any kind of relaxed binding for these entries.

For example, if you want to configure Hibernate’s batch size you must use spring.jpa.properties.hibernate.jdbc.batch_size. If you use other forms, such as batchSize or batch-size, Hibernate will not apply the setting.

If you need to apply advanced customization to Hibernate properties, consider registering a HibernatePropertiesCustomizer bean that will be invoked prior to creating the EntityManagerFactory. This takes precedence over anything that is applied by the auto-configuration.

Configure Hibernate Naming Strategy

Hibernate uses two different naming strategies to map names from the object model to the corresponding database names. The fully qualified class name of the physical and the implicit strategy implementations can be configured by setting the spring.jpa.hibernate.naming.physical-strategy and spring.jpa.hibernate.naming.implicit-strategy properties, respectively. Alternatively, if ImplicitNamingStrategy or PhysicalNamingStrategy beans are available in the application context, Hibernate will be automatically configured to use them.

By default, Spring Boot configures the physical naming strategy with CamelCaseToUnderscoresNamingStrategy. Using this strategy, all dots are replaced by underscores and camel casing is replaced by underscores as well. Additionally, by default, all table names are generated in lower case. For example, a TelephoneNumber entity is mapped to the telephone_number table. If your schema requires mixed-case identifiers, define a custom CamelCaseToUnderscoresNamingStrategy bean, as shown in the following example:

Java
Kotlin

import org.hibernate.boot.model.naming.CamelCaseToUnderscoresNamingStrategy;
import org.hibernate.engine.jdbc.env.spi.JdbcEnvironment;

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
public class MyHibernateConfiguration {

	@Bean
	public CamelCaseToUnderscoresNamingStrategy caseSensitivePhysicalNamingStrategy() {
		return new CamelCaseToUnderscoresNamingStrategy() {

			@Override
			protected boolean isCaseInsensitive(JdbcEnvironment jdbcEnvironment) {
				return false;
			}

		};
	}

}

import org.hibernate.boot.model.naming.CamelCaseToUnderscoresNamingStrategy
import org.hibernate.engine.jdbc.env.spi.JdbcEnvironment
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
class MyHibernateConfiguration {

	@Bean
	fun caseSensitivePhysicalNamingStrategy(): CamelCaseToUnderscoresNamingStrategy {
		return object : CamelCaseToUnderscoresNamingStrategy() {
			override fun isCaseInsensitive(jdbcEnvironment: JdbcEnvironment): Boolean {
				return false
			}
		}
	}

}

If you prefer to use Hibernate’s default instead, set the following property:

Properties
YAML

spring.jpa.hibernate.naming.physical-strategy=org.hibernate.boot.model.naming.PhysicalNamingStrategyStandardImpl

spring:
  jpa:
    hibernate:
      naming:
        physical-strategy: org.hibernate.boot.model.naming.PhysicalNamingStrategyStandardImpl

Alternatively, you can configure the following bean:

Java
Kotlin

import org.hibernate.boot.model.naming.PhysicalNamingStrategyStandardImpl;

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
class MyHibernateConfiguration {

	@Bean
	PhysicalNamingStrategyStandardImpl caseSensitivePhysicalNamingStrategy() {
		return new PhysicalNamingStrategyStandardImpl();
	}

}

import org.hibernate.boot.model.naming.PhysicalNamingStrategyStandardImpl
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
internal class MyHibernateConfiguration {

	@Bean
	fun caseSensitivePhysicalNamingStrategy(): PhysicalNamingStrategyStandardImpl {
		return PhysicalNamingStrategyStandardImpl()
	}

}

See HibernateJpaAutoConfiguration and JpaBaseConfiguration for more details.

Configure Hibernate Second-Level Caching

Hibernate second-level cache can be configured for a range of cache providers. Rather than configuring Hibernate to lookup the cache provider again, it is better to provide the one that is available in the context whenever possible.

To do this with JCache, first make sure that org.hibernate.orm:hibernate-jcache is available on the classpath. Then, add a HibernatePropertiesCustomizer bean as shown in the following example:

Java
Kotlin

import org.hibernate.cache.jcache.ConfigSettings;

import org.springframework.boot.autoconfigure.orm.jpa.HibernatePropertiesCustomizer;
import org.springframework.cache.jcache.JCacheCacheManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
public class MyHibernateSecondLevelCacheConfiguration {

	@Bean
	public HibernatePropertiesCustomizer hibernateSecondLevelCacheCustomizer(JCacheCacheManager cacheManager) {
		return (properties) -> properties.put(ConfigSettings.CACHE_MANAGER, cacheManager.getCacheManager());
	}

}

import org.hibernate.cache.jcache.ConfigSettings
import org.springframework.boot.autoconfigure.orm.jpa.HibernatePropertiesCustomizer
import org.springframework.cache.jcache.JCacheCacheManager
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
class MyHibernateSecondLevelCacheConfiguration {

	@Bean
	fun hibernateSecondLevelCacheCustomizer(cacheManager: JCacheCacheManager): HibernatePropertiesCustomizer {
		return HibernatePropertiesCustomizer { properties ->
			properties[ConfigSettings.CACHE_MANAGER] = cacheManager.cacheManager
		}
	}

}

This customizer will configure Hibernate to use the same CacheManager as the one that the application uses. It is also possible to use separate CacheManager instances. For details, see the Hibernate user guide.

Use Dependency Injection in Hibernate Components

By default, Spring Boot registers a BeanContainer implementation that uses the BeanFactory so that converters and entity listeners can use regular dependency injection.

You can disable or tune this behavior by registering a HibernatePropertiesCustomizer that removes or changes the hibernate.resource.beans.container property.

Use a Custom EntityManagerFactory

To take full control of the configuration of the EntityManagerFactory, you need to add a @Bean named ‘entityManagerFactory’. Spring Boot auto-configuration switches off its entity manager in the presence of a bean of that type.

Using Multiple EntityManagerFactories

If you need to use JPA against multiple data sources, you likely need one EntityManagerFactory per data source. The LocalContainerEntityManagerFactoryBean from Spring ORM allows you to configure an EntityManagerFactory for your needs. You can also reuse JpaProperties to bind settings for each EntityManagerFactory, as shown in the following example:

Java
Kotlin

import javax.sql.DataSource;

import org.springframework.boot.autoconfigure.orm.jpa.JpaProperties;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.orm.jpa.EntityManagerFactoryBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.orm.jpa.JpaVendorAdapter;
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean;
import org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter;

@Configuration(proxyBeanMethods = false)
public class MyEntityManagerFactoryConfiguration {

	@Bean
	@ConfigurationProperties("app.jpa.first")
	public JpaProperties firstJpaProperties() {
		return new JpaProperties();
	}

	@Bean
	public LocalContainerEntityManagerFactoryBean firstEntityManagerFactory(DataSource firstDataSource,
			JpaProperties firstJpaProperties) {
		EntityManagerFactoryBuilder builder = createEntityManagerFactoryBuilder(firstJpaProperties);
		return builder.dataSource(firstDataSource).packages(Order.class).persistenceUnit("firstDs").build();
	}

	private EntityManagerFactoryBuilder createEntityManagerFactoryBuilder(JpaProperties jpaProperties) {
		JpaVendorAdapter jpaVendorAdapter = createJpaVendorAdapter(jpaProperties);
		return new EntityManagerFactoryBuilder(jpaVendorAdapter, jpaProperties.getProperties(), null);
	}

	private JpaVendorAdapter createJpaVendorAdapter(JpaProperties jpaProperties) {
		// ... map JPA properties as needed
		return new HibernateJpaVendorAdapter();
	}

}

import javax.sql.DataSource

import org.springframework.boot.autoconfigure.orm.jpa.JpaProperties
import org.springframework.boot.context.properties.ConfigurationProperties
import org.springframework.boot.orm.jpa.EntityManagerFactoryBuilder
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.orm.jpa.JpaVendorAdapter
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean
import org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter

@Configuration(proxyBeanMethods = false)
class MyEntityManagerFactoryConfiguration {

	@Bean
	@ConfigurationProperties("app.jpa.first")
	fun firstJpaProperties(): JpaProperties {
		return JpaProperties()
	}

	@Bean
	fun firstEntityManagerFactory(
		firstDataSource: DataSource?,
		firstJpaProperties: JpaProperties
	): LocalContainerEntityManagerFactoryBean {
		val builder = createEntityManagerFactoryBuilder(firstJpaProperties)
		return builder.dataSource(firstDataSource).packages(Order::class.java).persistenceUnit("firstDs").build()
	}

	private fun createEntityManagerFactoryBuilder(jpaProperties: JpaProperties): EntityManagerFactoryBuilder {
		val jpaVendorAdapter = createJpaVendorAdapter(jpaProperties)
		return EntityManagerFactoryBuilder(jpaVendorAdapter, jpaProperties.properties, null)
	}

	private fun createJpaVendorAdapter(jpaProperties: JpaProperties): JpaVendorAdapter {
		// ... map JPA properties as needed
		return HibernateJpaVendorAdapter()
	}

}

The example above creates an EntityManagerFactory using a DataSource bean named firstDataSource. It scans entities located in the same package as Order. It is possible to map additional JPA properties using the app.first.jpa namespace.

When you create a bean for LocalContainerEntityManagerFactoryBean yourself, any customization that was applied during the creation of the auto-configured LocalContainerEntityManagerFactoryBean is lost. For example, in the case of Hibernate, any properties under the spring.jpa.hibernate prefix will not be automatically applied to your LocalContainerEntityManagerFactoryBean. If you were relying on these properties for configuring things like the naming strategy or the DDL mode, you will need to explicitly configure that when creating the LocalContainerEntityManagerFactoryBean bean.

You should provide a similar configuration for any additional data sources for which you need JPA access. To complete the picture, you need to configure a JpaTransactionManager for each EntityManagerFactory as well. Alternatively, you might be able to use a JTA transaction manager that spans both.

If you use Spring Data, you need to configure @EnableJpaRepositories accordingly, as shown in the following examples:

Java
Kotlin

import org.springframework.context.annotation.Configuration;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;

@Configuration(proxyBeanMethods = false)
@EnableJpaRepositories(basePackageClasses = Order.class, entityManagerFactoryRef = "firstEntityManagerFactory")
public class OrderConfiguration {

}

import org.springframework.context.annotation.Configuration
import org.springframework.data.jpa.repository.config.EnableJpaRepositories

@Configuration(proxyBeanMethods = false)
@EnableJpaRepositories(basePackageClasses = [Order::class], entityManagerFactoryRef = "firstEntityManagerFactory")
class OrderConfiguration

Java
Kotlin

import org.springframework.context.annotation.Configuration;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;

@Configuration(proxyBeanMethods = false)
@EnableJpaRepositories(basePackageClasses = Customer.class, entityManagerFactoryRef = "secondEntityManagerFactory")
public class CustomerConfiguration {

}

import org.springframework.context.annotation.Configuration
import org.springframework.data.jpa.repository.config.EnableJpaRepositories

@Configuration(proxyBeanMethods = false)
@EnableJpaRepositories(basePackageClasses = [Customer::class], entityManagerFactoryRef = "secondEntityManagerFactory")
class CustomerConfiguration

Use a Traditional persistence.xml File

Spring Boot will not search for or use a META-INF/persistence.xml by default. If you prefer to use a traditional persistence.xml, you need to define your own @Bean of type LocalEntityManagerFactoryBean (with an ID of ‘entityManagerFactory’) and set the persistence unit name there.

See JpaBaseConfiguration for the default settings.

Use Spring Data JPA and Mongo Repositories

Spring Data JPA and Spring Data Mongo can both automatically create Repository implementations for you. If they are both present on the classpath, you might have to do some extra configuration to tell Spring Boot which repositories to create. The most explicit way to do that is to use the standard Spring Data @EnableJpaRepositories and @EnableMongoRepositories annotations and provide the location of your Repository interfaces.

There are also flags (spring.data.*.repositories.enabled and spring.data.*.repositories.type) that you can use to switch the auto-configured repositories on and off in external configuration. Doing so is useful, for instance, in case you want to switch off the Mongo repositories and still use the auto-configured MongoTemplate.

The same obstacle and the same features exist for other auto-configured Spring Data repository types (Elasticsearch, Redis, and others). To work with them, change the names of the annotations and flags accordingly.

Customize Spring Data’s Web Support

Spring Data provides web support that simplifies the use of Spring Data repositories in a web application. Spring Boot provides properties in the spring.data.web namespace for customizing its configuration. Note that if you are using Spring Data REST, you must use the properties in the spring.data.rest namespace instead.

Expose Spring Data Repositories as REST Endpoint

Spring Data REST can expose the Repository implementations as REST endpoints for you, provided Spring MVC has been enabled for the application.

Spring Boot exposes a set of useful properties (from the spring.data.rest namespace) that customize the RepositoryRestConfiguration. If you need to provide additional customization, you should use a RepositoryRestConfigurer bean.

If you do not specify any order on your custom RepositoryRestConfigurer, it runs after the one Spring Boot uses internally. If you need to specify an order, make sure it is higher than 0.

Configure a Component that is Used by JPA

If you want to configure a component that JPA uses, then you need to ensure that the component is initialized before JPA. When the component is auto-configured, Spring Boot takes care of this for you. For example, when Flyway is auto-configured, Hibernate is configured to depend on Flyway so that Flyway has a chance to initialize the database before Hibernate tries to use it.

If you are configuring a component yourself, you can use an EntityManagerFactoryDependsOnPostProcessor subclass as a convenient way of setting up the necessary dependencies. For example, if you use Hibernate Search with Elasticsearch as its index manager, any EntityManagerFactory beans must be configured to depend on the elasticsearchClient bean, as shown in the following example:

Java
Kotlin

import jakarta.persistence.EntityManagerFactory;

import org.springframework.boot.autoconfigure.orm.jpa.EntityManagerFactoryDependsOnPostProcessor;
import org.springframework.stereotype.Component;

/**
 * {@link EntityManagerFactoryDependsOnPostProcessor} that ensures that
 * {@link EntityManagerFactory} beans depend on the {@code elasticsearchClient} bean.
 */
@Component
public class ElasticsearchEntityManagerFactoryDependsOnPostProcessor
		extends EntityManagerFactoryDependsOnPostProcessor {

	public ElasticsearchEntityManagerFactoryDependsOnPostProcessor() {
		super("elasticsearchClient");
	}

}

import org.springframework.boot.autoconfigure.orm.jpa.EntityManagerFactoryDependsOnPostProcessor
import org.springframework.stereotype.Component

@Component
class ElasticsearchEntityManagerFactoryDependsOnPostProcessor :
	EntityManagerFactoryDependsOnPostProcessor("elasticsearchClient")

Configure jOOQ with Two DataSources

If you need to use jOOQ with multiple data sources, you should create your own DSLContext for each one. See JooqAutoConfiguration for more details.

In particular, JooqExceptionTranslator and SpringTransactionProvider can be reused to provide similar features to what the auto-configuration does with a single DataSource.