Implementing Reactive Repositories and Data Access Operations in Spring Web Flux

In Spring Web Flux, the reactive programming model is gaining popularity due to its efficiency and performance. Reactive repositories and data access operations are essential components of building applications with Spring Web Flux. In this article, we will explore how to implement reactive repositories and perform data access operations using Spring Web Flux.

Reactive Repositories

Reactive repositories provide an interface for interacting with the underlying data store in a reactive way. They allow us to perform CRUD (Create, Read, Update, Delete) operations on data using reactive streams. Spring Data provides excellent support for implementing reactive repositories with its ReactiveCrudRepository interface.

To implement a reactive repository, follow these steps:

  1. Define the data model: Start by defining the data model for your application using the @Document annotation. This annotation marks the class as a document that can be stored in a NoSQL database.
@Document(collection = "users")
public class User {
    private String id;
    private String name;
    // ...
  1. Create the reactive repository interface: Extend the ReactiveCrudRepository interface and provide the data model type and the primary key type as type parameters.
public interface UserRepository extends ReactiveCrudRepository<User, String> {
    // ...
  1. Use the reactive repository: Inject the repository interface into your service or controller class. Spring will automatically provide an implementation of the interface.
public class UserController {

    private final UserRepository userRepository;

    public UserController(UserRepository userRepository) {
        this.userRepository = userRepository;

    // ...

That's it! You now have a reactive repository ready to perform data access operations on your data store.

Data Access Operations

Once you have defined a reactive repository, you can use it to perform various data access operations on your data store. Some commonly used operations are:

  • Saving an entity: Use the save() method to persist a new entity or update an existing one.
public Mono<User> saveUser(@RequestBody User user) {
  • Retrieving all entities: Use the findAll() method to retrieve all entities from the data store.
public Flux<User> getAllUsers() {
    return userRepository.findAll();
  • Retrieving a single entity: Use the findById() method to retrieve a single entity based on its primary key.
public Mono<User> getUserById(@PathVariable String id) {
    return userRepository.findById(id);
  • Updating an entity: Use the save() method to update an existing entity.
public Mono<User> updateUser(@PathVariable String id, @RequestBody User user) {
  • Deleting an entity: Use the deleteById() method to delete an entity based on its primary key.
public Mono<Void> deleteUser(@PathVariable String id) {
    return userRepository.deleteById(id);

These are just a few examples of the data access operations you can perform with reactive repositories. You can explore more options and customize the behavior using the available methods in the ReactiveCrudRepository interface.


Implementing reactive repositories and performing data access operations in Spring Web Flux is straightforward and efficient. The reactive programming model allows for better scalability and improved performance, making it a preferred choice for building reactive applications. By following the steps mentioned in this article, you can leverage the power of reactive repositories and perform data access operations effectively in your Spring Web Flux applications.

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