eBook – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

Get started with mocking and improve your application tests using our Mockito guide:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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Get Started with Apache Maven:

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eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

>> LEARN SPRING
Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

>> The New “REST With Spring Boot”

Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

You can explore the course here:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

Get started with Spring Data JPA through the guided reference course:

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Partner – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

1. Overview

The typical scenario for a Spring Boot application is to store data in a single relational database. But we sometimes need to access multiple databases.

In this tutorial, we’ll learn how to configure and use multiple data sources with Spring Boot.

To find out how to deal with a single data source, check out our introduction to Spring Data JPA.

Further reading:

A Guide to JPA with Spring

Setup JPA with Spring - how to set up the EntityManager factory and use the raw JPA APIs.

Introduction to Spring Data JDBC

A quick and practical guide to Spring Data JDBC.

Configuring a DataSource Programmatically in Spring Boot

Learn how to configure a Spring Boot DataSource programmatically, thereby side-stepping Spring Boot's automatic DataSource configuration algorithm.

2. Default Behavior

Let’s remember what declaring a data source in Spring Boot looks like in application.yml:

spring:
  datasource:
    url: ...
    username: ...
    password: ...
    driverClassname: ...

Internally, Spring maps these settings to an instance of org.springframework.boot.autoconfigure.jdbc.DataSourceProperties.

Let’s take a look into the implementation:

@ConfigurationProperties(prefix = "spring.datasource")
public class DataSourceProperties implements BeanClassLoaderAware, InitializingBean {

    // ...

    /**
     * Fully qualified name of the JDBC driver. Auto-detected based on the URL by default.
     */
    private String driverClassName;

    /**
     * JDBC URL of the database.
     */
    private String url;

    /**
     * Login username of the database.
     */
    private String username;

    /**
     * Login password of the database.
     */
    private String password;

    // ...

}

We should point out the @ConfigurationProperties annotation that maps the properties of the configuration to the Java object automatically.

3. Extending the Defaults

So, to use multiple data sources, we need to declare multiple beans with different mappings within Spring’s application context.

We can do this by using configuration classes:

@Configuration
public class TodoDatasourceConfiguration {

    @Bean
    @ConfigurationProperties("spring.datasource.todos")
    public DataSourceProperties todosDataSourceProperties() {
        return new DataSourceProperties();
    }
}

@Configuration
public class TopicDatasourceConfiguration {

    @Bean
    @ConfigurationProperties("spring.datasource.topics")
    public DataSourceProperties topicsDataSourceProperties() {
        return new DataSourceProperties();
    }

}

The configuration for the data sources must look like this:

spring:
  datasource:
    todos:
      url: ...
      username: ...
      password: ...
      driverClassName: ...
    topics:
      url: ...
      username: ...
      password: ...
      driverClassName: ...

Then we can create the data sources by using the DataSourceProperties objects:

@Bean
public DataSource todosDataSource() {
    return todosDataSourceProperties()
      .initializeDataSourceBuilder()
      .build();
}

@Bean
public DataSource topicsDataSource() {
    return topicsDataSourceProperties()
      .initializeDataSourceBuilder()
      .build();
}

4. Spring Data JDBC

When using Spring Data JDBC, we also need to configure one instance of JdbcTemplate for each DataSource:

@Bean
public JdbcTemplate todosJdbcTemplate(@Qualifier("todosDataSource") DataSource dataSource) {
    return new JdbcTemplate(dataSource);
}

@Bean
public JdbcTemplate topicsJdbcTemplate(@Qualifier("topicsDataSource") DataSource dataSource) {
    return new JdbcTemplate(dataSource);
}

We can then use them also by specifying a @Qualifier:

@Autowired
@Qualifier("topicsJdbcTemplate")
JdbcTemplate jdbcTemplate;

5. Spring Data JPA

When using Spring Data JPA, we want to use repositories like the following, where Todo is the entity:

public interface TodoRepository extends JpaRepository<Todo, Long> {}

So, we need to declare EntityManager factories for each data source:

@Configuration
@EnableTransactionManagement
@EnableJpaRepositories(
  basePackageClasses = Todo.class,
  entityManagerFactoryRef = "todosEntityManagerFactory",
  transactionManagerRef = "todosTransactionManager"
)
public class TodoJpaConfiguration {

    @Bean
    public LocalContainerEntityManagerFactoryBean todosEntityManagerFactory(
      @Qualifier("todosDataSource") DataSource dataSource,
      EntityManagerFactoryBuilder builder) {
        return builder
          .dataSource(dataSource)
          .packages(Todo.class)
          .build();
    }

    @Bean
    public PlatformTransactionManager todosTransactionManager(
      @Qualifier("todosEntityManagerFactory") LocalContainerEntityManagerFactoryBean todosEntityManagerFactory) {
        return new JpaTransactionManager(Objects.requireNonNull(todosEntityManagerFactory.getObject()));
    }

}

Let’s look at a few restrictions that we should be aware of.

We need to split the packages to allow one @EnableJpaRepositories for each data source.

Unfortunately, to get EntityManagerFactoryBuilder injected, we need to declare one of the data sources as @Primary.

This is because EntityManagerFactoryBuilder is declared in org.springframework.boot.autoconfigure.orm.jpa.JpaBaseConfiguration, and this class needs a single data source injected. Usually, some parts of the framework might not expect multiple data sources configured.

6. Configure Hikari Connection Pool

If we want to configure Hikari, we just need to add an @ConfigurationProperties to the data source definition:

@Bean
@ConfigurationProperties("spring.datasource.todos.hikari")
public DataSource todosDataSource() {
    return todosDataSourceProperties()
      .initializeDataSourceBuilder()
      .build();
}

Then we can insert the following lines into the application.properties file:

spring.datasource.todos.hikari.connectionTimeout=30000 
spring.datasource.todos.hikari.idleTimeout=600000 
spring.datasource.todos.hikari.maxLifetime=1800000 

7. Conclusion

In this article, we learned how to configure multiple data sources with Spring Boot.

We saw that we need some configuration and that there might be pitfalls when deviating from the standard but that it is possible in the end.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

Once the early-adopter seats are all used, the price will go up and stay at $33/year.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

>> Download the eBook

eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

>> Download the eBook

eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

Explore the eBook

Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

eBook Jackson – NPI EA – 3 (cat = Jackson)
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