Course – Black Friday 2025 – NPI EA (cat= Baeldung)
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Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Partner – Orkes – NPI EA (tag=Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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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 – 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:

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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:

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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

Partner – Orkes – NPI EA (cat=Java)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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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.

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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 – Black Friday 2025 – NPI (cat=Baeldung)
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1. Overview

Writing integration tests with databases offers several options for test databases. One effective option is to use a real database, ensuring that our integration tests closely mimic production behavior.

In this tutorial, we’ll demonstrate how to use Embedded PostgreSQL for Spring Boot tests and review a few alternatives.

2. Dependencies and Configuration

We’ll start by adding the Spring Data JPA dependency, as we’ll use it to create our repositories:

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

To write integration tests for a Spring Boot application, we need to include the Spring Test dependency:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-test</artifactId>
    <scope>test</scope>
</dependency>

Finally, we need to include the Embedded Postgres dependency:

<dependency>
    <groupId>com.opentable.components</groupId>
    <artifactId>otj-pg-embedded</artifactId>
    <version>1.0.3</version>
    <scope>test</scope>
</dependency>

Also, let’s set the basic configuration for our integration tests:

spring.jpa.properties.hibernate.dialect = org.hibernate.dialect.PostgreSQLDialect
spring.jpa.hibernate.ddl-auto=create-drop

We’ve specified the PostgreSQLDialect and enabled schema recreation before our test execution.

3. Usage

First things first, let’s create the Person entity that we’ll use in our tests:

@Entity
public class Person {
    @Id
    @GeneratedValue(strategy = GenerationType.AUTO)
    private Long id;

    @Column
    private String name;

    // getters and setters
}

Now, let’s create a Spring Data Repository for our entity:

public interface PersonRepository extends JpaRepository<Person, Long> {
}

After that, let’s create a test configuration class:

@Configuration
@EnableJpaRepositories(basePackageClasses = PersonRepository.class)
@EntityScan(basePackageClasses = Person.class)
public class EmbeddedPostgresConfiguration {
    private static EmbeddedPostgres embeddedPostgres;

    @Bean
    public DataSource dataSource() throws IOException {
        embeddedPostgres = EmbeddedPostgres.builder()
          .setImage(DockerImageName.parse("postgres:14.1"))
          .start();

        return embeddedPostgres.getPostgresDatabase();
    }

    public static class EmbeddedPostgresExtension implements AfterAllCallback {
        @Override
        public void afterAll(ExtensionContext context) throws Exception {
            if (embeddedPostgres == null) {
                return;
            }
            embeddedPostgres.close();
        }
    }
}

Here, we’ve specified the path to our repository and entity. We’ve created the data source using the EmbeddedPostgres builder, selecting the version of the Postgres database to use during the tests. Additionally, we’ve added the EmbeddedPostgresExtension to ensure that the embedded Postgres connection is closed after executing the test class. Finally, let’s create the test class:

@DataJpaTest
@ExtendWith(EmbeddedPostgresExtension.class)
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
@ContextConfiguration(classes = {EmbeddedPostgresConfiguration.class})
public class EmbeddedPostgresIntegrationTest {
    @Autowired
    private PersonRepository repository;

    @Test
    void givenEmbeddedPostgres_whenSavePerson_thenSavedEntityShouldBeReturnedWithExpectedFields(){
        Person person = new Person();
        person.setName("New user");

        Person savedPerson = repository.save(person);
        assertNotNull(savedPerson.getId());
        assertEquals(person.getName(), savedPerson.getName());
    }
}

We’ve used the @DataJpaTest annotation to set up a basic Spring test context. We’ve extended the test class with our EmbeddedPostgresExtension and attached our EmbeddedPostgresConfiguration to the test context. After that, we successfully created a Person entity and saved it in the database.

4. Flyway Integration

Flyway is a popular migration tool that helps manage schema changes. When we use it, it’s important to include it in our integration tests. In this section, we’ll see how it can be done using the embedded Postgres. Let’s start with the dependencies:

<dependency>
    <groupId>org.flywaydb</groupId>
    <artifactId>flyway-core</artifactId>
</dependency>

After that, let’s specify the database schema in the flyway migration script:

CREATE SEQUENCE IF NOT EXISTS person_seq INCREMENT 50;
;

CREATE TABLE IF NOT EXISTS person(
    id bigint NOT NULL,
    name character varying(255)
)
;

Now we can create the test configuration:

@Configuration
@EnableJpaRepositories(basePackageClasses = PersonRepository.class)
@EntityScan(basePackageClasses = Person.class)
public class EmbeddedPostgresWithFlywayConfiguration {
    @Bean
    public DataSource dataSource() throws SQLException {
        return PreparedDbProvider
          .forPreparer(FlywayPreparer.forClasspathLocation("db/migrations"))
          .createDataSource();
    }
}

We’ve specified the data source bean, where using the PreparedDbProvider and FlywayPreparer we’ve defined the location of the migrations scripts. Finally, here’s our test class:

@DataJpaTest(properties = { "spring.jpa.hibernate.ddl-auto=none" })
@ExtendWith(EmbeddedPostgresExtension.class)
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
@ContextConfiguration(classes = {EmbeddedPostgresWithFlywayConfiguration.class})
public class EmbeddedPostgresWithFlywayIntegrationTest {
    @Autowired
    private PersonRepository repository;

    @Test
    void givenEmbeddedPostgres_whenSavePerson_thenSavedEntityShouldBeReturnedWithExpectedFields(){
        Person person = new Person();
        person.setName("New user");

        Person savedPerson = repository.save(person);
        assertNotNull(savedPerson.getId());
        assertEquals(person.getName(), savedPerson.getName());

        List<Person> allPersons = repository.findAll();
        Assertions.assertThat(allPersons).contains(person);
    }
}

We’ve disabled the spring.jpa.hibernate.ddl-auto property to allow Flyway to handle schema changes. After that, we saved our Person entity in the database and successfully retrieved it.

5. Alternatives

5.1. Testcontainers

The latest versions of the embedded Postgres project use TestContainers under the hood. Therefore, one alternative is to use the TestContainers library directly. Let’s start by adding the necessary dependencies:

<dependency>
    <groupId>org.testcontainers</groupId>
    <artifactId>postgresql</artifactId>
    <version>1.19.8</version>
    <scope>test</scope>
</dependency>

Now we’ll create the initializer class, where we configure the PostgreSQLContainer for our tests:

public class TestContainersInitializer implements
  ApplicationContextInitializer<ConfigurableApplicationContext>, AfterAllCallback {

    private static final PostgreSQLContainer postgreSQLContainer = new PostgreSQLContainer(
      "postgres:14.1")
      .withDatabaseName("postgres")
      .withUsername("postgres")
      .withPassword("postgres");


    @Override
    public void initialize(ConfigurableApplicationContext applicationContext) {
        postgreSQLContainer.start();

        TestPropertyValues.of(
          "spring.datasource.url=" + postgreSQLContainer.getJdbcUrl(),
          "spring.datasource.username=" + postgreSQLContainer.getUsername(),
          "spring.datasource.password=" + postgreSQLContainer.getPassword()
        ).applyTo(applicationContext.getEnvironment());
    }

    @Override
    public void afterAll(ExtensionContext context) throws Exception {
        if (postgreSQLContainer == null) {
            return;
        }
        postgreSQLContainer.close();
    }
}

We’ve created the PostgreSQLContainer instance and implemented the ApplicationContextInitializer interface to set the configuration properties for our test context. Additionally, we’ve implemented the AfterAllCallback to close the Postgres container connection after the tests. Now, let’s create the test class:

@DataJpaTest
@ExtendWith(TestContainersInitializer.class)
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
@ContextConfiguration(initializers = TestContainersInitializer.class)
public class TestContainersPostgresIntegrationTest {
    @Autowired
    private PersonRepository repository;

    @Test
    void givenTestcontainersPostgres_whenSavePerson_thenSavedEntityShouldBeReturnedWithExpectedFields() {
        Person person = new Person();
        person.setName("New user");

        Person savedPerson = repository.save(person);
        assertNotNull(savedPerson.getId());
        assertEquals(person.getName(), savedPerson.getName());
    }
}

Here, we’ve extended the tests by using our TestContainersInitializer and specified the initializer for the test configuration with the @ContextConfiguration annotation. We’ve created the same test cases as in the previous section and successfully saved our Person entity in the Postgres database running in a test container.

5.2. Zonky Embedded Database

Zonky Embedded Database was created as a fork of Embedded Postgres and continues supporting options for a test database without Docker. Let’s add the dependencies that we need to use this library:

<dependency>
    <groupId>io.zonky.test</groupId>
    <artifactId>embedded-postgres</artifactId>
    <version>2.0.7</version>
    <scope>test</scope>
</dependency>
<dependency>
    <groupId>io.zonky.test</groupId>
    <artifactId>embedded-database-spring-test</artifactId>
    <version>2.5.1</version>
    <scope>test</scope>
</dependency>

After that, we’re able to write the test class:

@DataJpaTest
@AutoConfigureEmbeddedDatabase(provider = ZONKY)
public class ZonkyEmbeddedPostgresIntegrationTest {
    @Autowired
    private PersonRepository repository;

    @Test
    void givenZonkyEmbeddedPostgres_whenSavePerson_thenSavedEntityShouldBeReturnedWithExpectedFields(){
        Person person = new Person();
        person.setName("New user");

        Person savedPerson = repository.save(person);
        assertNotNull(savedPerson.getId());
        assertEquals(person.getName(), savedPerson.getName());
    }
}

Here, we’ve specified the @AutoConfigureEmbeddedDatabase annotation using the ZONKY provider, enabling us to use the embedded Postgres database without Docker. This library also supports other providers such as Embedded and Docker. Finally, we’ve successfully saved our Person entity in the database.

6. Conclusion

In this article, we’ve explored how to use the Embedded Postgres database for testing purposes and reviewed some alternatives. There are various ways to incorporate the Postgres database in tests, both with and without Docker containers. The best choice depends on your specific use case.

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.
Course – Black Friday 2025 – NPI EA (cat= Baeldung)
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Yes, we're now running our Black Friday Sale. All Access and Pro are 33% off until 2nd December, 2025:

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Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

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:

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

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Course – LS – NPI EA (cat=REST)

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

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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.

Course – Black Friday 2025 – NPI (All)
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eBook Jackson – NPI EA – 3 (cat = Jackson)
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