Introduction to Spring Data REST

Last updated: July 5, 2022

Written by: baeldung

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1. Overview

This article will explain the basics of Spring Data REST and show how to use it to build a simple REST API.

In general, Spring Data REST is built on top of the Spring Data project and makes it easy to build hypermedia-driven REST web services that connect to Spring Data repositories – all using HAL as the driving hypermedia type.

It takes away a lot of the manual work usually associated with such tasks and makes implementing basic CRUD functionality for web applications quite simple.

2. Maven Dependencies

The following Maven dependencies are required for our simple application:

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId
    <artifactId>spring-boot-starter-data-rest</artifactId></dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
    <groupId>com.h2database</groupId>
    <artifactId>h2</artifactId>
</dependency>

We decided to use Spring Boot for this example, but classic Spring will also work fine. We also chose to use the H2 embedded database in order to avoid any extra setup, but the example can be applied to any database.

3. Writing the Application

We will start by writing a domain object to represent a user of our website:

@Entity
public class WebsiteUser {

    @Id
    @GeneratedValue(strategy = GenerationType.AUTO)
    private long id;

    private String name;
    private String email;

    // standard getters and setters
}

Every user has a name and an email, as well as an automatically-generated id. Now we can write a simple repository:

@RepositoryRestResource(collectionResourceRel = "users", path = "users")
public interface UserRepository extends PagingAndSortingRepository<WebsiteUser, Long> {
    List<WebsiteUser> findByName(@Param("name") String name);
}

This is an interface that allows you to perform various operations with WebsiteUser objects. We also defined a custom query that will provide a list of users based on a given name.

The @RepositoryRestResource annotation is optional and is used to customize the REST endpoint. If we decided to omit it, Spring would automatically create an endpoint at “/websiteUsers” instead of “/users“.

Finally, we will write a standard Spring Boot main class to initialize the application:

@SpringBootApplication
public class SpringDataRestApplication {
    public static void main(String[] args) {
        SpringApplication.run(SpringDataRestApplication.class, args);
    }
}

That’s it! We now have a fully-functional REST API. Let’s take a look at it in action.

4. Accessing the REST API

If we run the application and go to http://localhost:8080/ in a browser, we will receive the following JSON:

{
  "_links" : {
    "users" : {
      "href" : "http://localhost:8080/users{?page,size,sort}",
      "templated" : true
    },
    "profile" : {
      "href" : "http://localhost:8080/profile"
    }
  }
}

As you can see, there is a “/users” endpoint available, and it already has the “?page“, “?size” and “?sort” options.

There is also a standard “/profile” endpoint, which provides application metadata. It is important to note that the response is structured in a way that follows the constraints of the REST architecture style. Specifically, it provides a uniform interface and self-descriptive messages. This means that each message contains enough information to describe how to process the message.

There are no users in our application yet, so going to http://localhost:8080/users would just show an empty list of users. Let’s use curl to add a user.

$ curl -i -X POST -H "Content-Type:application/json" -d '{  "name" : "Test", \ 
"email" : "[email protected]" }' http://localhost:8080/users
{
  "name" : "test",
  "email" : "[email protected]",
  "_links" : {
    "self" : {
      "href" : "http://localhost:8080/users/1"
    },
    "websiteUser" : {
      "href" : "http://localhost:8080/users/1"
    }
  }
}

Lets take a look at the response headers as well:

HTTP/1.1 201 Created
Server: Apache-Coyote/1.1
Location: http://localhost:8080/users/1
Content-Type: application/hal+json;charset=UTF-8
Transfer-Encoding: chunked

You will notice that the returned content type is “application/hal+json“. HAL is a simple format that gives a consistent and easy way to hyperlink between resources in your API. The header also automatically contains the Location header, which is the address we can use to access the newly created user.

We can now access this user at http://localhost:8080/users/1

{
  "name" : "test",
  "email" : "[email protected]",
  "_links" : {
    "self" : {
      "href" : "http://localhost:8080/users/1"
    },
    "websiteUser" : {
      "href" : "http://localhost:8080/users/1"
    }
  }
}

You can also use curl or any other REST client to issue PUT, PATCH, and DELETE requests. It also is important to note that Spring Data REST automatically follows the principles of HATEOAS. HATEOAS is one of the constraints of the REST architecture style, and it means that hypertext should be used to find your way through the API.

Finally, lets try to access the custom query that we wrote earlier and find all users with the name “test”. This is done by going to http://localhost:8080/users/search/findByName?name=test

{
  "_embedded" : {
    "users" : [ {
      "name" : "test",
      "email" : "[email protected]",
      "_links" : {
        "self" : {
          "href" : "http://localhost:8080/users/1"
        },
        "websiteUser" : {
          "href" : "http://localhost:8080/users/1"
        }
      }
    } ]
  },
  "_links" : {
    "self" : {
      "href" : "http://localhost:8080/users/search/findByName?name=test"
    }
  }
}

5. Conclusion

This tutorial demonstrated the basics of creating a simple REST API with Spring Data REST.

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.

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.

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.

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

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.

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