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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.

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

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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. Introduction

In this tutorial, we’re going to see how to configure and implement database operations using Reactive Programming through Spring Data Reactive Repositories with MongoDB.

We’ll go over the basic usages of ReactiveCrudRepository, ReactiveMongoRepository, as well as ReactiveMongoTemplate.

Even though these implementations use reactive programming, that isn’t the primary focus of this tutorial.

2. Environment

In order to use Reactive MongoDB, we need to add the dependency to our pom.xml.

We’ll also add an embedded MongoDB for testing:

<dependencies>
    // ...
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-mongodb-reactive</artifactId>
    </dependency>
    <dependency>
        <groupId>de.flapdoodle.embed</groupId>
        <artifactId>de.flapdoodle.embed.mongo</artifactId>
        <scope>test</scope>
    </dependency>
</dependencies>

3. Configuration

In order to activate the reactive support, we need to use the @EnableReactiveMongoRepositories alongside with some infrastructure setup:

@EnableReactiveMongoRepositories
public class MongoReactiveApplication
  extends AbstractReactiveMongoConfiguration {

    @Bean
    public MongoClient mongoClient() {
        return MongoClients.create();
    }

    @Override
    protected String getDatabaseName() {
        return "reactive";
    }
}

Note that the above would be necessary if we were using the standalone MongoDB installation. But, as we’re using Spring Boot with embedded MongoDB in our example, the above configuration is not necessary.

4. Creating a Document

For the examples below, let’s create an Account class and annotate it with @Document to use it in the database operations:

@Document
public class Account {
 
    @Id
    private String id;
    private String owner;
    private Double value;
 
    // getters and setters
}

5. Using Reactive Repositories

We are already familiar with the repositories programming model, with the CRUD methods already defined plus support for some other common things as well.

Now with the Reactive model, we get the same set of methods and specifications, except that we’ll deal with the results and parameters in a reactive way.

5.1. ReactiveCrudRepository

We can use this repository the same way as the blocking CrudRepository:

@Repository
public interface AccountCrudRepository 
  extends ReactiveCrudRepository<Account, String> {
 
    Flux<Account> findAllByValue(String value);
    Mono<Account> findFirstByOwner(Mono<String> owner);
}

We can pass different types of arguments like plain (String), wrapped (Optional, Stream), or reactive (Mono, Flux) as we can see in the findFirstByOwner() method.

5.2. ReactiveMongoRepository

There’s also the ReactiveMongoRepository interface, which inherits from ReactiveCrudRepository and adds some new query methods:

@Repository
public interface AccountReactiveRepository 
  extends ReactiveMongoRepository<Account, String> { }

Using the ReactiveMongoRepository, we can query by example:

Flux<Account> accountFlux = repository
  .findAll(Example.of(new Account(null, "owner", null)));

As a result, we’ll get every Account that is the same as the example passed.

With our repositories created, they already have defined methods to perform some database operations that we don’t need to implement:

Mono<Account> accountMono 
  = repository.save(new Account(null, "owner", 12.3));
Mono<Account> accountMono2 = repository
  .findById("123456");

5.3. RxJava3CrudRepository

With RxJava3CrudRepository, we have the same behavior as the ReactiveCrudRepository, but with the results and parameter types from RxJava:

@Repository
public interface AccountRxJavaRepository 
  extends RxJava3CrudRepository<Account, String> {
 
    Observable<Account> findAllByValue(Double value);
    Single<Account> findFirstByOwner(Single<String> owner);
}

5.4. Testing Our Basic Operations

In order to test our repository methods, we’ll use the test subscriber:

@Test
public void givenValue_whenFindAllByValue_thenFindAccount() {
    repository.save(new Account(null, "Bill", 12.3)).block();
    Flux<Account> accountFlux = repository.findAllByValue(12.3);

    StepVerifier
      .create(accountFlux)
      .assertNext(account -> {
          assertEquals("Bill", account.getOwner());
          assertEquals(Double.valueOf(12.3) , account.getValue());
          assertNotNull(account.getId());
      })
      .expectComplete()
      .verify();
}

@Test
public void givenOwner_whenFindFirstByOwner_thenFindAccount() {
    repository.save(new Account(null, "Bill", 12.3)).block();
    Mono<Account> accountMono = repository
      .findFirstByOwner(Mono.just("Bill"));

    StepVerifier
      .create(accountMono)
      .assertNext(account -> {
          assertEquals("Bill", account.getOwner());
          assertEquals(Double.valueOf(12.3) , account.getValue());
          assertNotNull(account.getId());
      })
      .expectComplete()
      .verify();
}

@Test
public void givenAccount_whenSave_thenSaveAccount() {
    Mono<Account> accountMono = repository.save(new Account(null, "Bill", 12.3));

    StepVerifier
      .create(accountMono)
      .assertNext(account -> assertNotNull(account.getId()))
      .expectComplete()
      .verify();
}

6. ReactiveMongoTemplate

Besides the repositories approach, we have the ReactiveMongoTemplate.

First of all, we need to register ReactiveMongoTemplate as a bean:

@Configuration
public class ReactiveMongoConfig {
 
    @Autowired
    MongoClient mongoClient;

    @Bean
    public ReactiveMongoTemplate reactiveMongoTemplate() {
        return new ReactiveMongoTemplate(mongoClient, "test");
    }
}

And then, we can inject this bean into our service to perform the database operations:

@Service
public class AccountTemplateOperations {
 
    @Autowired
    ReactiveMongoTemplate template;

    public Mono<Account> findById(String id) {
        return template.findById(id, Account.class);
    }
 
    public Flux<Account> findAll() {
        return template.findAll(Account.class);
    } 
    public Mono<Account> save(Mono<Account> account) {
        return template.save(account);
    }
}

ReactiveMongoTemplate also has a number of methods that do not relate to the domain we have, you can check them out in the documentation.

7. Conclusion

In this brief tutorial, we’ve covered the use of repositories and templates using reactive programming with MongoDB with Spring Data Reactive Repositories 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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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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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.

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