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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

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1. Overview

In this tutorial, we’ll learn how to configure and implement database operations in a reactive way on Couchbase using Spring Data Repositories.

We’ll cover the basic usages of ReactiveCrudRepository and ReactiveSortingRepository. Additionally, we’ll configure our test application with AbstractReactiveCouchbaseConfiguration.

2. Maven Dependencies

Firstly, let’s add the necessary dependencies:

<dependency>
    <groupId>io.projectreactor</groupId>
    <artifactId>reactor-core</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-couchbase-reactive</artifactId>
</dependency>

The spring-boot-starter-data-couchbase-reactive dependency contains everything that we need to operate on Couchbase using reactive API.

We’ll also include the reactor-core dependency to use Project Reactor API.

3. Configuration

Next, let’s define the connection settings between Couchbase and our application.

Let’s begin by creating a class that will hold our properties:

@Configuration
public class CouchbaseProperties {

    private List<String> bootstrapHosts;
    private String bucketName;
    private String bucketPassword;
    private int port;

    public CouchbaseProperties(
      @Value("${spring.couchbase.bootstrap-hosts}") List<String> bootstrapHosts, 
      @Value("${spring.couchbase.bucket.name}") String bucketName, 
      @Value("${spring.couchbase.bucket.password}") String bucketPassword, 
      @Value("${spring.couchbase.port}") int port) {
        this.bootstrapHosts = Collections.unmodifiableList(bootstrapHosts);
        this.bucketName = bucketName;
        this.bucketPassword = bucketPassword;
        this.port = port;
    }

    // getters
}

In order to use reactive support, we should create the configuration class that’ll extend AbstractReactiveCouchbaseConfiguration:

@Configuration
@EnableReactiveCouchbaseRepositories
public abstract class ReactiveCouchbaseConfiguration extends AbstractCouchbaseConfiguration {

    private CouchbaseProperties couchbaseProperties;

    public ReactiveCouchbaseConfiguration(final CouchbaseProperties couchbaseProperties) {
        this.couchbaseProperties = couchbaseProperties;
    }

    @Override
    public String getConnectionString() {
        return String.join(",", couchbaseProperties.getBootstrapHosts());
    }

    @Override
    public String getUserName() {
        return couchbaseProperties.getBucketName();
    }

    @Override
    public String getPassword() {
        return couchbaseProperties.getBucketPassword();
    }

    @Override
    public String getBucketName() {
        return couchbaseProperties.getBucketName();
    }
}

Additionally, we’ve used @EnableReactiveCouchbaseRepositories to enable our reactive repositories that’ll be under the specified package.

Furthermore, we’ve overridden some methods in order to pass the Couchbase connection properties.

4. Repositories

In this section, we’ll learn how to create and use the reactive repository. By default, the “all” view is backing most CRUD operations. The custom repository methods are backed by N1QL. If the cluster doesn’t support N1QL, the UnsupportedCouchbaseFeatureException will be thrown during initialization.

Firstly, let’s create the POJO class that our repositories will work with:

@Document
public class Person {
    @Id private UUID id;
    private String firstName;

   //getters and setters
}

4.1. View-Based Repository

Now, we’ll create a repository for Person:

@Repository
@ViewIndexed(designDoc = ViewPersonRepository.DESIGN_DOCUMENT)
public interface ViewPersonRepository extends ReactiveCrudRepository<Person, UUID> {

    String DESIGN_DOCUMENT = "person";
}

The repository extends the ReactiveCrudRepository interface in order to use Reactor API to interact with Couchbase.

Additionally, we can add a custom method and use the @View annotation to make it view-based:

@View(designDocument = ViewPersonRepository.DESIGN_DOCUMENT)
Flux<Person> findByFirstName(String firstName);

By default, the query will look for a view named byFirstName. If we want to provide a custom view name, we’ll have to use the viewName argument.

Lastly, let’s create a simple CRUD test with the help of a test subscriber:

@Test
public void shouldSavePerson_findById_thenDeleteIt() {
    final UUID id = UUID.randomUUID();
    final Person person = new Person(id, "John");
    personRepository
      .save(person)
      .subscribe();
 
    final Mono<Person> byId = personRepository.findById(id);
 
    StepVerifier
      .create(byId)
      .expectNextMatches(result -> result
        .getId()
        .equals(id))
      .expectComplete()
      .verify();
 
    personRepository
      .delete(person)
      .subscribe();
}

4.2. N1QL/View-Based Repository

Now, we’ll create the reactive repository for Person that’ll use the N1QL queries:

@Repository
public interface N1QLPersonRepository extends ReactiveCrudRepository<Person, UUID> {
    Flux findAllByFirstName(final String firstName);
}

The repository extends the ReactiveCrudRepository in order to use Reactor API as well. In addition, we’ve added a custom findAllByFirstName method, which creates the N1QL backed query.

After that, let’s add the test for the findAllByFirstName method:

@Test
public void shouldFindAll_byLastName() {
    final String firstName = "John";
    final Person matchingPerson = new Person(UUID.randomUUID(), firstName);
    final Person nonMatchingPerson = new Person(UUID.randomUUID(), "NotJohn");
    personRepository
      .save(matchingPerson)
      .subscribe();
    personRepository
      .save(nonMatchingPerson)
      .subscribe();
 
    final Flux<Person> allByFirstName = personRepository.findAllByFirstName(firstName);
 
    StepVerifier
      .create(allByFirstName)
      .expectNext(matchingPerson)
      .verifyComplete();
}

Furthermore, we’ll create a repository that allows us to retrieve people using the sorting abstraction:

@Repository
public interface N1QLSortingPersonRepository extends ReactiveCrudRepository<Person, UUID>, ReactiveSortingRepository<Person, UUID> {
}

Lastly, let’s write a test to check if the data is actually sorted:

@Test
public void shouldFindAll_sortedByFirstName() {
    final Person firstPerson = new Person(UUID.randomUUID(), "John");
    final Person secondPerson = new Person(UUID.randomUUID(), "Mikki");
    personRepository
      .save(firstPerson)
      .subscribe();
    personRepository
      .save(secondPerson)
      .subscribe();
 
    final Flux<Person> allByFirstName = personRepository
      .findAll(Sort.by(Sort.Direction.DESC, "firstName"));
 
    StepVerifier
      .create(allByFirstName)
      .expectNextMatches(person -> person
        .getFirstName()
        .equals(secondPerson.getFirstName()))
      .expectNextMatches(person -> person
        .getFirstName()
        .equals(firstPerson.getFirstName()))
      .verifyComplete();
}

5. Conclusion

In this article, we’ve learned how to use repositories using reactive programming with Couchbase and Spring Data Reactive framework.

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.
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Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

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.

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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.

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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.

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