This version is still in development and is not considered stable yet. For the latest stable version, please use Spring Boot 3.4.1!

SQL Databases

The Spring Framework provides extensive support for working with SQL databases, from direct JDBC access using JdbcClient or JdbcTemplate to complete “object relational mapping” technologies such as Hibernate. Spring Data provides an additional level of functionality: creating Repository implementations directly from interfaces and using conventions to generate queries from your method names.

Configure a DataSource

Java’s DataSource interface provides a standard method of working with database connections. Traditionally, a DataSource uses a URL along with some credentials to establish a database connection.

See the Configure a Custom DataSource section of the “How-to Guides” for more advanced examples, typically to take full control over the configuration of the DataSource.

Embedded Database Support

It is often convenient to develop applications by using an in-memory embedded database. Obviously, in-memory databases do not provide persistent storage. You need to populate your database when your application starts and be prepared to throw away data when your application ends.

The “How-to Guides” section includes a section on how to initialize a database.

Spring Boot can auto-configure embedded H2, HSQL, and Derby databases. You need not provide any connection URLs. You need only include a build dependency to the embedded database that you want to use. If there are multiple embedded databases on the classpath, set the spring.datasource.embedded-database-connection configuration property to control which one is used. Setting the property to none disables auto-configuration of an embedded database.

If you are using this feature in your tests, you may notice that the same database is reused by your whole test suite regardless of the number of application contexts that you use. If you want to make sure that each context has a separate embedded database, you should set spring.datasource.generate-unique-name to true.

For example, the typical POM dependencies would be as follows:

<dependency>
	<groupId>org.springframework.boot</groupId>
	<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
	<groupId>org.hsqldb</groupId>
	<artifactId>hsqldb</artifactId>
	<scope>runtime</scope>
</dependency>

You need a dependency on spring-jdbc for an embedded database to be auto-configured. In this example, it is pulled in transitively through spring-boot-starter-data-jpa.

If, for whatever reason, you do configure the connection URL for an embedded database, take care to ensure that the database’s automatic shutdown is disabled. If you use H2, you should use DB_CLOSE_ON_EXIT=FALSE to do so. If you use HSQLDB, you should ensure that shutdown=true is not used. Disabling the database’s automatic shutdown lets Spring Boot control when the database is closed, thereby ensuring that it happens once access to the database is no longer needed.

Connection to a Production Database

Production database connections can also be auto-configured by using a pooling DataSource.

DataSource Configuration

DataSource configuration is controlled by external configuration properties in spring.datasource.*. For example, you might declare the following section in application.properties:

Properties
YAML

spring.datasource.url=jdbc:mysql://localhost/test
spring.datasource.username=dbuser
spring.datasource.password=dbpass

spring:
  datasource:
    url: "jdbc:mysql://localhost/test"
    username: "dbuser"
    password: "dbpass"

You should at least specify the URL by setting the spring.datasource.url property. Otherwise, Spring Boot tries to auto-configure an embedded database.

Spring Boot can deduce the JDBC driver class for most databases from the URL. If you need to specify a specific class, you can use the spring.datasource.driver-class-name property.

For a pooling DataSource to be created, we need to be able to verify that a valid Driver class is available, so we check for that before doing anything. In other words, if you set spring.datasource.driver-class-name=com.mysql.jdbc.Driver, then that class has to be loadable.

See DataSourceProperties API documentation for more of the supported options. These are the standard options that work regardless of the actual implementation. It is also possible to fine-tune implementation-specific settings by using their respective prefix (spring.datasource.hikari.*, spring.datasource.tomcat.*, spring.datasource.dbcp2.*, and spring.datasource.oracleucp.*). See the documentation of the connection pool implementation you are using for more details.

For instance, if you use the Tomcat connection pool, you could customize many additional settings, as shown in the following example:

Properties
YAML

spring.datasource.tomcat.max-wait=10000
spring.datasource.tomcat.max-active=50
spring.datasource.tomcat.test-on-borrow=true

spring:
  datasource:
    tomcat:
      max-wait: 10000
      max-active: 50
      test-on-borrow: true

This will set the pool to wait 10000ms before throwing an exception if no connection is available, limit the maximum number of connections to 50 and validate the connection before borrowing it from the pool.

Supported Connection Pools

Spring Boot uses the following algorithm for choosing a specific implementation:

We prefer HikariCP for its performance and concurrency. If HikariCP is available, we always choose it.
Otherwise, if the Tomcat pooling DataSource is available, we use it.
Otherwise, if Commons DBCP2 is available, we use it.
If none of HikariCP, Tomcat, and DBCP2 are available and if Oracle UCP is available, we use it.

If you use the spring-boot-starter-jdbc or spring-boot-starter-data-jpa starters, you automatically get a dependency to HikariCP.

You can bypass that algorithm completely and specify the connection pool to use by setting the spring.datasource.type property. This is especially important if you run your application in a Tomcat container, as tomcat-jdbc is provided by default.

Additional connection pools can always be configured manually, using DataSourceBuilder. If you define your own DataSource bean, auto-configuration does not occur. The following connection pools are supported by DataSourceBuilder:

HikariCP
Tomcat pooling DataSource
Commons DBCP2
Oracle UCP & OracleDataSource
Spring Framework’s SimpleDriverDataSource
H2 JdbcDataSource
PostgreSQL PGSimpleDataSource
C3P0

Connection to a JNDI DataSource

If you deploy your Spring Boot application to an Application Server, you might want to configure and manage your DataSource by using your Application Server’s built-in features and access it by using JNDI.

The spring.datasource.jndi-name property can be used as an alternative to the spring.datasource.url, spring.datasource.username, and spring.datasource.password properties to access the DataSource from a specific JNDI location. For example, the following section in application.properties shows how you can access a JBoss AS defined DataSource:

Properties
YAML

spring.datasource.jndi-name=java:jboss/datasources/customers

spring:
  datasource:
    jndi-name: "java:jboss/datasources/customers"

Using JdbcTemplate

Spring’s JdbcTemplate and NamedParameterJdbcTemplate classes are auto-configured, and you can autowire them directly into your own beans, as shown in the following example:

Java
Kotlin

import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Component;

@Component
public class MyBean {

	private final JdbcTemplate jdbcTemplate;

	public MyBean(JdbcTemplate jdbcTemplate) {
		this.jdbcTemplate = jdbcTemplate;
	}

	public void doSomething() {
		this.jdbcTemplate ...
	}

}

import org.springframework.jdbc.core.JdbcTemplate
import org.springframework.stereotype.Component

@Component
class MyBean(private val jdbcTemplate: JdbcTemplate) {

	fun doSomething() {
		jdbcTemplate.execute("delete from customer")
	}

}

You can customize some properties of the template by using the spring.jdbc.template.* properties, as shown in the following example:

Properties
YAML

spring.jdbc.template.max-rows=500

spring:
  jdbc:
    template:
      max-rows: 500

The NamedParameterJdbcTemplate reuses the same JdbcTemplate instance behind the scenes. If more than one JdbcTemplate is defined and no primary candidate exists, the NamedParameterJdbcTemplate is not auto-configured.

Using JdbcClient

Spring’s JdbcClient is auto-configured based on the presence of a NamedParameterJdbcTemplate. You can inject it directly in your own beans as well, as shown in the following example:

Java
Kotlin

import org.springframework.jdbc.core.simple.JdbcClient;
import org.springframework.stereotype.Component;

@Component
public class MyBean {

	private final JdbcClient jdbcClient;

	public MyBean(JdbcClient jdbcClient) {
		this.jdbcClient = jdbcClient;
	}

	public void doSomething() {
		this.jdbcClient ...
	}

}

import org.springframework.jdbc.core.simple.JdbcClient
import org.springframework.stereotype.Component

@Component
class MyBean(private val jdbcClient: JdbcClient) {

	fun doSomething() {
		jdbcClient.sql("delete from customer").update()
	}

}

If you rely on auto-configuration to create the underlying JdbcTemplate, any customization using spring.jdbc.template.* properties is taken into account in the client as well.

JPA and Spring Data JPA

The Java Persistence API is a standard technology that lets you “map” objects to relational databases. The spring-boot-starter-data-jpa POM provides a quick way to get started. It provides the following key dependencies:

Hibernate: One of the most popular JPA implementations.
Spring Data JPA: Helps you to implement JPA-based repositories.
Spring ORM: Core ORM support from the Spring Framework.

We do not go into too many details of JPA or Spring Data here. You can follow the Accessing Data with JPA guide from spring.io and read the Spring Data JPA and Hibernate reference documentation.

Entity Classes

Traditionally, JPA “Entity” classes are specified in a persistence.xml file. With Spring Boot, this file is not necessary and “Entity Scanning” is used instead. By default the auto-configuration packages are scanned.

Any classes annotated with @Entity, @Embeddable, or @MappedSuperclass are considered. A typical entity class resembles the following example:

Java
Kotlin

import java.io.Serializable;

import jakarta.persistence.Column;
import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.Id;

@Entity
public class City implements Serializable {

	@Id
	@GeneratedValue
	private Long id;

	@Column(nullable = false)
	private String name;

	@Column(nullable = false)
	private String state;

	// ... additional members, often include @OneToMany mappings

	protected City() {
		// no-args constructor required by JPA spec
		// this one is protected since it should not be used directly
	}

	public City(String name, String state) {
		this.name = name;
		this.state = state;
	}

	public String getName() {
		return this.name;
	}

	public String getState() {
		return this.state;
	}

	// ... etc

}

import jakarta.persistence.Column
import jakarta.persistence.Entity
import jakarta.persistence.GeneratedValue
import jakarta.persistence.Id
import java.io.Serializable

@Entity
class City : Serializable {

	@Id
	@GeneratedValue
	private val id: Long? = null

	@Column(nullable = false)
	var name: String? = null
		private set

	// ... etc
	@Column(nullable = false)
	var state: String? = null
		private set

	// ... additional members, often include @OneToMany mappings

	protected constructor() {
		// no-args constructor required by JPA spec
		// this one is protected since it should not be used directly
	}

	constructor(name: String?, state: String?) {
		this.name = name
		this.state = state
	}

}

You can customize entity scanning locations by using the @EntityScan annotation. See the Separate @Entity Definitions from Spring Configuration section of the “How-to Guides”.

Spring Data JPA Repositories

Spring Data JPA repositories are interfaces that you can define to access data. JPA queries are created automatically from your method names. For example, a CityRepository interface might declare a findAllByState(String state) method to find all the cities in a given state.

For more complex queries, you can annotate your method with Spring Data’s Query annotation.

Spring Data repositories usually extend from the Repository or CrudRepository interfaces. If you use auto-configuration, the auto-configuration packages are searched for repositories.

You can customize the locations to look for repositories using @EnableJpaRepositories.

The following example shows a typical Spring Data repository interface definition:

Java
Kotlin

import org.springframework.boot.docs.data.sql.jpaandspringdata.entityclasses.City;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.repository.Repository;

public interface CityRepository extends Repository<City, Long> {

	Page<City> findAll(Pageable pageable);

	City findByNameAndStateAllIgnoringCase(String name, String state);

}

import org.springframework.boot.docs.data.sql.jpaandspringdata.entityclasses.City
import org.springframework.data.domain.Page
import org.springframework.data.domain.Pageable
import org.springframework.data.repository.Repository

interface CityRepository : Repository<City?, Long?> {

	fun findAll(pageable: Pageable?): Page<City?>?

	fun findByNameAndStateAllIgnoringCase(name: String?, state: String?): City?

}

Spring Data JPA repositories support three different modes of bootstrapping: default, deferred, and lazy. To enable deferred or lazy bootstrapping, set the spring.data.jpa.repositories.bootstrap-mode property to deferred or lazy respectively. When using deferred or lazy bootstrapping, the auto-configured EntityManagerFactoryBuilder will use the context’s AsyncTaskExecutor, if any, as the bootstrap executor. If more than one exists, the one named applicationTaskExecutor will be used.

When using deferred or lazy bootstrapping, make sure to defer any access to the JPA infrastructure after the application context bootstrap phase. You can use SmartInitializingSingleton to invoke any initialization that requires the JPA infrastructure. For JPA components (such as converters) that are created as Spring beans, use ObjectProvider to delay the resolution of dependencies, if any.

We have barely scratched the surface of Spring Data JPA. For complete details, see the Spring Data JPA reference documentation.

Spring Data Envers Repositories

If Spring Data Envers is available, JPA repositories are auto-configured to support typical Envers queries.

To use Spring Data Envers, make sure your repository extends from RevisionRepository as shown in the following example:

Java
Kotlin

import org.springframework.boot.docs.data.sql.jpaandspringdata.entityclasses.Country;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.Pageable;
import org.springframework.data.repository.Repository;
import org.springframework.data.repository.history.RevisionRepository;

public interface CountryRepository extends RevisionRepository<Country, Long, Integer>, Repository<Country, Long> {

	Page<Country> findAll(Pageable pageable);

}

import org.springframework.boot.docs.data.sql.jpaandspringdata.entityclasses.Country
import org.springframework.data.domain.Page
import org.springframework.data.domain.Pageable
import org.springframework.data.repository.Repository
import org.springframework.data.repository.history.RevisionRepository

interface CountryRepository :
		RevisionRepository<Country?, Long?, Int>,
		Repository<Country?, Long?> {

	fun findAll(pageable: Pageable?): Page<Country?>?

}

For more details, check the Spring Data Envers reference documentation.

Creating and Dropping JPA Databases

By default, JPA databases are automatically created only if you use an embedded database (H2, HSQL, or Derby). You can explicitly configure JPA settings by using spring.jpa.* properties. For example, to create and drop tables you can add the following line to your application.properties:

Properties
YAML

spring.jpa.hibernate.ddl-auto=create-drop

spring:
  jpa:
    hibernate.ddl-auto: "create-drop"

Hibernate’s own internal property name for this (if you happen to remember it better) is hibernate.hbm2ddl.auto. You can set it, along with other Hibernate native properties, by using spring.jpa.properties.* (the prefix is stripped before adding them to the entity manager). The following line shows an example of setting JPA properties for Hibernate:

Properties
YAML

spring.jpa.properties.hibernate.globally_quoted_identifiers=true

spring:
  jpa:
    properties:
      hibernate:
        "globally_quoted_identifiers": "true"

The line in the preceding example passes a value of true for the hibernate.globally_quoted_identifiers property to the Hibernate entity manager.

By default, the DDL execution (or validation) is deferred until the ApplicationContext has started.

Open EntityManager in View

If you are running a web application, Spring Boot by default registers OpenEntityManagerInViewInterceptor to apply the “Open EntityManager in View” pattern, to allow for lazy loading in web views. If you do not want this behavior, you should set spring.jpa.open-in-view to false in your application.properties.

Spring Data JDBC

Spring Data includes repository support for JDBC and will automatically generate SQL for the methods on CrudRepository. For more advanced queries, a @Query annotation is provided.

Spring Boot will auto-configure Spring Data’s JDBC repositories when the necessary dependencies are on the classpath. They can be added to your project with a single dependency on spring-boot-starter-data-jdbc. If necessary, you can take control of Spring Data JDBC’s configuration by adding the @EnableJdbcRepositories annotation or an AbstractJdbcConfiguration subclass to your application.

For complete details of Spring Data JDBC, see the reference documentation.

Using H2’s Web Console

The H2 database provides a browser-based console that Spring Boot can auto-configure for you. The console is auto-configured when the following conditions are met:

You are developing a servlet-based web application.
com.h2database:h2 is on the classpath.
You are using Spring Boot’s developer tools.

If you are not using Spring Boot’s developer tools but would still like to make use of H2’s console, you can configure the spring.h2.console.enabled property with a value of true.

The H2 console is only intended for use during development, so you should take care to ensure that spring.h2.console.enabled is not set to true in production.

Changing the H2 Console’s Path

By default, the console is available at /h2-console. You can customize the console’s path by using the spring.h2.console.path property.

Accessing the H2 Console in a Secured Application

H2 Console uses frames and, as it is intended for development only, does not implement CSRF protection measures. If your application uses Spring Security, you need to configure it to

disable CSRF protection for requests against the console,
set the header X-Frame-Options to SAMEORIGIN on responses from the console.

More information on CSRF and the header X-Frame-Options can be found in the Spring Security Reference Guide.

In simple setups, a SecurityFilterChain like the following can be used:

Java
Kotlin

import org.springframework.boot.autoconfigure.security.servlet.PathRequest;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Profile;
import org.springframework.core.Ordered;
import org.springframework.core.annotation.Order;
import org.springframework.security.config.Customizer;
import org.springframework.security.config.annotation.web.builders.HttpSecurity;
import org.springframework.security.config.annotation.web.configurers.CsrfConfigurer;
import org.springframework.security.config.annotation.web.configurers.HeadersConfigurer.FrameOptionsConfig;
import org.springframework.security.web.SecurityFilterChain;

@Profile("dev")
@Configuration(proxyBeanMethods = false)
public class DevProfileSecurityConfiguration {

	@Bean
	@Order(Ordered.HIGHEST_PRECEDENCE)
	SecurityFilterChain h2ConsoleSecurityFilterChain(HttpSecurity http) throws Exception {
		http.securityMatcher(PathRequest.toH2Console());
		http.authorizeHttpRequests(yourCustomAuthorization());
		http.csrf(CsrfConfigurer::disable);
		http.headers((headers) -> headers.frameOptions(FrameOptionsConfig::sameOrigin));
		return http.build();
	}


}

import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration
import org.springframework.context.annotation.Profile
import org.springframework.core.Ordered
import org.springframework.core.annotation.Order
import org.springframework.security.config.Customizer
import org.springframework.security.config.annotation.web.builders.HttpSecurity
import org.springframework.security.web.SecurityFilterChain

@Profile("dev")
@Configuration(proxyBeanMethods = false)
class DevProfileSecurityConfiguration {

	@Bean
	@Order(Ordered.HIGHEST_PRECEDENCE)
	fun h2ConsoleSecurityFilterChain(http: HttpSecurity): SecurityFilterChain {
		return http.authorizeHttpRequests(yourCustomAuthorization())
			.csrf { csrf -> csrf.disable() }
			.headers { headers -> headers.frameOptions { frameOptions -> frameOptions.sameOrigin() } }
			.build()
	}


}

The H2 console is only intended for use during development. In production, disabling CSRF protection or allowing frames for a website may create severe security risks.

PathRequest.toH2Console() returns the correct request matcher also when the console’s path has been customized.

Using jOOQ

jOOQ Object Oriented Querying (jOOQ) is a popular product from Data Geekery which generates Java code from your database and lets you build type-safe SQL queries through its fluent API. Both the commercial and open source editions can be used with Spring Boot.

Code Generation

In order to use jOOQ type-safe queries, you need to generate Java classes from your database schema. You can follow the instructions in the jOOQ user manual. If you use the jooq-codegen-maven plugin and you also use the spring-boot-starter-parent “parent POM”, you can safely omit the plugin’s <version> tag. You can also use Spring Boot-defined version variables (such as h2.version) to declare the plugin’s database dependency. The following listing shows an example:

<plugin>
	<groupId>org.jooq</groupId>
	<artifactId>jooq-codegen-maven</artifactId>
	<executions>
		...
	</executions>
	<dependencies>
		<dependency>
			<groupId>com.h2database</groupId>
			<artifactId>h2</artifactId>
			<version>${h2.version}</version>
		</dependency>
	</dependencies>
	<configuration>
		<jdbc>
			<driver>org.h2.Driver</driver>
			<url>jdbc:h2:~/yourdatabase</url>
		</jdbc>
		<generator>
			...
		</generator>
	</configuration>
</plugin>

Using DSLContext

The fluent API offered by jOOQ is initiated through the DSLContext interface. Spring Boot auto-configures a DSLContext as a Spring Bean and connects it to your application DataSource. To use the DSLContext, you can inject it, as shown in the following example:

Java
Kotlin

import java.util.GregorianCalendar;
import java.util.List;

import org.jooq.DSLContext;

import org.springframework.stereotype.Component;

import static org.springframework.boot.docs.data.sql.jooq.dslcontext.Tables.AUTHOR;

@Component
public class MyBean {

	private final DSLContext create;

	public MyBean(DSLContext dslContext) {
		this.create = dslContext;
	}


}

import org.jooq.DSLContext
import org.springframework.stereotype.Component
import java.util.GregorianCalendar

@Component
class MyBean(private val create: DSLContext) {


}

The jOOQ manual tends to use a variable named create to hold the DSLContext.

You can then use the DSLContext to construct your queries, as shown in the following example:

Java
Kotlin

	public List<GregorianCalendar> authorsBornAfter1980() {
		return this.create.selectFrom(AUTHOR)
			.where(AUTHOR.DATE_OF_BIRTH.greaterThan(new GregorianCalendar(1980, 0, 1)))
			.fetch(AUTHOR.DATE_OF_BIRTH);

	fun authorsBornAfter1980(): List<GregorianCalendar> {
		return create.selectFrom<Tables.TAuthorRecord>(Tables.AUTHOR)
			.where(Tables.AUTHOR?.DATE_OF_BIRTH?.greaterThan(GregorianCalendar(1980, 0, 1)))
			.fetch(Tables.AUTHOR?.DATE_OF_BIRTH)
	}

jOOQ SQL Dialect

Unless the spring.jooq.sql-dialect property has been configured, Spring Boot determines the SQL dialect to use for your datasource. If Spring Boot could not detect the dialect, it uses DEFAULT.

Spring Boot can only auto-configure dialects supported by the open source version of jOOQ.

Customizing jOOQ

More advanced customizations can be achieved by defining your own DefaultConfigurationCustomizer bean that will be invoked prior to creating the Configuration @Bean. This takes precedence to anything that is applied by the auto-configuration.

You can also create your own Configuration @Bean if you want to take complete control of the jOOQ configuration.

Using R2DBC

The Reactive Relational Database Connectivity (R2DBC) project brings reactive programming APIs to relational databases. R2DBC’s Connection provides a standard method of working with non-blocking database connections. Connections are provided by using a ConnectionFactory, similar to a DataSource with jdbc.

ConnectionFactory configuration is controlled by external configuration properties in spring.r2dbc.*. For example, you might declare the following section in application.properties:

Properties
YAML

spring.r2dbc.url=r2dbc:postgresql://localhost/test
spring.r2dbc.username=dbuser
spring.r2dbc.password=dbpass

spring:
  r2dbc:
    url: "r2dbc:postgresql://localhost/test"
    username: "dbuser"
    password: "dbpass"

You do not need to specify a driver class name, since Spring Boot obtains the driver from R2DBC’s Connection Factory discovery.

At least the url should be provided. Information specified in the URL takes precedence over individual properties, that is name, username, password and pooling options.

The “How-to Guides” section includes a section on how to initialize a database.

To customize the connections created by a ConnectionFactory, that is, set specific parameters that you do not want (or cannot) configure in your central database configuration, you can use a ConnectionFactoryOptionsBuilderCustomizer @Bean. The following example shows how to manually override the database port while the rest of the options are taken from the application configuration:

Java
Kotlin

import io.r2dbc.spi.ConnectionFactoryOptions;

import org.springframework.boot.autoconfigure.r2dbc.ConnectionFactoryOptionsBuilderCustomizer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
public class MyR2dbcConfiguration {

	@Bean
	public ConnectionFactoryOptionsBuilderCustomizer connectionFactoryPortCustomizer() {
		return (builder) -> builder.option(ConnectionFactoryOptions.PORT, 5432);
	}

}

import io.r2dbc.spi.ConnectionFactoryOptions
import org.springframework.boot.autoconfigure.r2dbc.ConnectionFactoryOptionsBuilderCustomizer
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
class MyR2dbcConfiguration {

	@Bean
	fun connectionFactoryPortCustomizer(): ConnectionFactoryOptionsBuilderCustomizer {
		return ConnectionFactoryOptionsBuilderCustomizer { builder ->
			builder.option(ConnectionFactoryOptions.PORT, 5432)
		}
	}

}

The following examples show how to set some PostgreSQL connection options:

Java
Kotlin

import java.util.HashMap;
import java.util.Map;

import io.r2dbc.postgresql.PostgresqlConnectionFactoryProvider;

import org.springframework.boot.autoconfigure.r2dbc.ConnectionFactoryOptionsBuilderCustomizer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration(proxyBeanMethods = false)
public class MyPostgresR2dbcConfiguration {

	@Bean
	public ConnectionFactoryOptionsBuilderCustomizer postgresCustomizer() {
		Map<String, String> options = new HashMap<>();
		options.put("lock_timeout", "30s");
		options.put("statement_timeout", "60s");
		return (builder) -> builder.option(PostgresqlConnectionFactoryProvider.OPTIONS, options);
	}

}

import io.r2dbc.postgresql.PostgresqlConnectionFactoryProvider
import org.springframework.boot.autoconfigure.r2dbc.ConnectionFactoryOptionsBuilderCustomizer
import org.springframework.context.annotation.Bean
import org.springframework.context.annotation.Configuration

@Configuration(proxyBeanMethods = false)
class MyPostgresR2dbcConfiguration {

	@Bean
	fun postgresCustomizer(): ConnectionFactoryOptionsBuilderCustomizer {
		val options: MutableMap<String, String> = HashMap()
		options["lock_timeout"] = "30s"
		options["statement_timeout"] = "60s"
		return ConnectionFactoryOptionsBuilderCustomizer { builder ->
			builder.option(PostgresqlConnectionFactoryProvider.OPTIONS, options)
		}
	}

}

When a ConnectionFactory bean is available, the regular JDBC DataSource auto-configuration backs off. If you want to retain the JDBC DataSource auto-configuration, and are comfortable with the risk of using the blocking JDBC API in a reactive application, add @Import(DataSourceAutoConfiguration.class) on a @Configuration class in your application to re-enable it.

Embedded Database Support

Similarly to the JDBC support, Spring Boot can automatically configure an embedded database for reactive usage. You need not provide any connection URLs. You need only include a build dependency to the embedded database that you want to use, as shown in the following example:

<dependency>
	<groupId>io.r2dbc</groupId>
	<artifactId>r2dbc-h2</artifactId>
	<scope>runtime</scope>
</dependency>

Using DatabaseClient

A DatabaseClient bean is auto-configured, and you can autowire it directly into your own beans, as shown in the following example:

Java
Kotlin

import java.util.Map;

import reactor.core.publisher.Flux;

import org.springframework.r2dbc.core.DatabaseClient;
import org.springframework.stereotype.Component;

@Component
public class MyBean {

	private final DatabaseClient databaseClient;

	public MyBean(DatabaseClient databaseClient) {
		this.databaseClient = databaseClient;
	}

	// ...

	public Flux<Map<String, Object>> someMethod() {
		return this.databaseClient.sql("select * from user").fetch().all();
	}

}

import org.springframework.r2dbc.core.DatabaseClient
import org.springframework.stereotype.Component
import reactor.core.publisher.Flux

@Component
class MyBean(private val databaseClient: DatabaseClient) {

	// ...

	fun someMethod(): Flux<Map<String, Any>> {
		return databaseClient.sql("select * from user").fetch().all()
	}

}

Spring Data R2DBC Repositories

Spring Data R2DBC repositories are interfaces that you can define to access data. Queries are created automatically from your method names. For example, a CityRepository interface might declare a findAllByState(String state) method to find all the cities in a given state.

For more complex queries, you can annotate your method with Spring Data’s @Query annotation.

Spring Data repositories usually extend from the Repository or CrudRepository interfaces. If you use auto-configuration, the auto-configuration packages are searched for repositories.

The following example shows a typical Spring Data repository interface definition:

Java
Kotlin

import reactor.core.publisher.Mono;

import org.springframework.data.repository.Repository;

public interface CityRepository extends Repository<City, Long> {

	Mono<City> findByNameAndStateAllIgnoringCase(String name, String state);

}

import org.springframework.data.repository.Repository
import reactor.core.publisher.Mono

interface CityRepository : Repository<City?, Long?> {

	fun findByNameAndStateAllIgnoringCase(name: String?, state: String?): Mono<City?>?

}

We have barely scratched the surface of Spring Data R2DBC. For complete details, see the Spring Data R2DBC reference documentation.