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  1. DZone
  2. Coding
  3. Java
  4. Four Essential Tips for Building a Robust REST API in Java

Four Essential Tips for Building a Robust REST API in Java

Enhance your Java REST API with consistent resource naming, maintainable versioning, robust security, and proper exception handling.

By 
Otavio Santana user avatar
Otavio Santana
DZone Core CORE ·
Aug. 21, 24 · Tutorial
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Creating a solid REST API in Java requires more than a basic grasp of HTTP requests and responses. Ensuring that your API is well-designed, maintainable, and secure is essential. This article will offer four critical tips to improve your REST API. It assumes you are already acquainted with the Richardson Maturity Model, especially up to Level 2, which is the minimum requirement for a good API. If you need a quick reminder about the Richardson Maturity Model, I recommend reading this article by Martin Fowler: Richardson Maturity Model.

Given that prerequisite, let’s dive into the tips. For illustration purposes, we’ll use an example from the expedition domain. While we won’t focus on entities and layers in detail, imagine we have the following entity class:

Java
 
public class Expedition {
    private String name;
    private String location;
    private LocalDate date;

    public Expedition(String name, String location, LocalDate date) {
        this.name = name;
        this.location = location;
        this.date = date;
    }

    public String getName() {
        return name;
    }

    public String getLocation() {
        return location;
    }

    public LocalDate getDate() {
        return date;
    }
}


1. Consistency in Terminology and Resource Naming

One of the most important aspects of designing a good REST API is ensuring consistent terminology and careful attention to the service’s vocabulary. Start with a generic naming convention and then move to more specific terms. Following Domain-Driven Design (DDD) principles, begin with the main domain and then refine it into subdomains.

A simple rule of thumb is to use plural nouns for resources. For example:

  • GET /expeditions - Returns all expeditions
  • GET /expeditions/{id} - Retrieves a specific expedition by its ID

Sample code:

Java
 
@Path("expeditions")
public class ExpeditionResource {

    @GET
    public List<Expedition> list() {
        // implementation here
    }

    @GET
    @Path("/{id}")
    public Expedition get(@PathParam("id") String id) {
        // implementation here
    }

    @GET
    @Path("/search")
    public List<Expedition> mine() {
        // implementation here
    }
}


For more detailed guidelines on maintaining consistency, refer to the REST API Design Rulebook.

2. Maintainability, Scalability, and Documentation

Maintaining and scaling your API is crucial as it grows in complexity. One way to ensure maintainability is through proper documentation. While documentation may not be the favorite task of many developers, it’s indispensable. OpenAPI is an excellent tool for generating and enhancing documentation automatically. For more, visit OpenAPI.

Another critical aspect is versioning. Versioning ensures backward compatibility and smooth transitions between different API versions. It allows you to support both old and new versions simultaneously, encouraging users to migrate to the latest version at their convenience. You can achieve this in Java by structuring your code with separate packages for each version and creating adapter layers to manage interactions between versions.

Example:

Java
 
package os.expert.demo.expeditions.v1;
@Path(”/api/v1/expeditions")
public class ExpeditionResource {
// implementation here
}

package os.expert.demo.expeditions.v2;
@Path("/api/v2/expeditions")
public class ExpeditionResource {
// implementation here


3. Security: Never Trust the User

Security is a fundamental aspect of any API. A general rule is to never trust the user; always validate their permission to access the requested resources. One practical approach is to use authentication to determine which expeditions a user can access without relying on user-provided IDs.

Example:

Java
 
@GET
@Path("/my-expeditions")
public List<Expedition> myExpeditions() {
    // No need to request IDs since the user is authenticated
    // implementation here
}


This principle should also apply to other operations like editing or deleting resources. Always validate permissions before proceeding.

4. Exception Handling and Proper HTTP Status Codes

Finally, a well-designed API should have robust exception handling that maps errors to the correct HTTP status codes. For instance, if an expedition is not found, your API should return a 404 Not Found status code, maintaining consistency between your Java code and REST API semantics.

Java
 
@Provider
public class ExpeditionNotFoundExceptionMapper implements ExceptionMapper<ExpeditionNotFoundException> {

    @Override
    public Response toResponse(ExpeditionNotFoundException exception) {
        return Response.status(Response.Status.NOT_FOUND).entity(exception.getMessage()).build();
    }
}


Conclusion

In summary, creating a solid REST API involves several key steps:

  1. Understand the basics - Start familiarizing yourself with the Richardson Maturity Model.
  2. Use consistent terminology - Follow a clear and consistent resource naming convention.
  3. Focus on maintainability and documentation - Implement versioning and generate documentation using tools like OpenAPI.
  4. Prioritize security - Always validate user permissions.
  5. Implement proper exception handling - Ensure your API returns appropriate HTTP status codes.

By following these tips, you’ll be well on your way to developing a reliable and maintainable REST API in Java, a challenge even experienced developers can struggle with.

For sample code and further examples, visit the repository on GitHub.

Video


API Domain-driven design REST Java (programming language) security

Opinions expressed by DZone contributors are their own.

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  • High-Performance Reactive REST API and Reactive DB Connection Using Java Spring Boot WebFlux R2DBC Example
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  • The Noticeable Shift in SIEM Data Sources

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