Representational State Transfer (REST)
REST defines a set of architectural principles by which you can design Web services that focus on a system’s resources
REST Web service follows four basic design principles:
- Use HTTP methods explicitly.
- Be stateless.
- Expose directory structure-like URIs.
- Transfer XML, JavaScript Object Notation (JSON), or both.
Use HTTP methods explicitly
REST asks developers to use HTTP methods explicitly and in a way that’s consistent with the protocol definition. This basic REST design principle establishes a one-to-one mapping between create, read, update, and delete (CRUD) operations and HTTP methods. According to this mapping:
- To create a resource on the server, use POST.
- To retrieve a resource, use GET.
- To change the state of a resource or to update it, use PUT.
- To remove or delete a resource, use DELETE.
Be stateless
independent request doesn’t require the server, while processing the request, to retrieve any kind of application context or state. A REST Web service application (or client) includes within the HTTP headers and body of a request all of the parameters, context, and data needed by the server-side component to generate a response. Statelessness in this sense improves Web service performance and simplifies the design and implementation of server-side components because the absence of state on the server removes the need to synchronize session data with an external application.
Figure 1. Stateful design

Figure 2. Stateless design

Expose directory structure-like URIs
REST Web service URIs should be intuitive to the point where they are easy to guess. Think of a URI as a kind of self-documenting interface that requires little, if any, explanation or reference for a developer to understand what it points to and to derive related resources. To this end, the structure of a URI should be straightforward, predictable, and easily understood.
One way to achieve this level of usability is to define directory structure-like URIs. This type of URI is hierarchical, rooted at a single path, and branching from it are subpaths that expose the service’s main areas. According to this definition, a URI is not merely a slash-delimited string, but rather a tree with subordinate and superordinate branches connected at nodes. For example, in a discussion threading service that gathers topics ranging from Java to paper, you might define a structured set of URIs like this:
http://www.myservice.org/discussion/topics/{topic}
The root, /discussion, has a /topics node beneath it. Underneath that there are a series of topic names, such as gossip, technology, and so on, each of which points to a discussion thread. Within this structure, it’s easy to pull up discussion threads just by typing something after /topics/.
In some cases, the path to a resource lends itself especially well to a directory-like structure. Take resources organized by date, for instance, which are a very good match for using a hierarchical syntax.
This example is intuitive because it is based on rules:
http://www.myservice.org/discussion/2008/12/10/{topic}
http://www.myservice.org/discussion/{year}/{day}/{month}/{topic}
Some additional guidelines to make note of while thinking about URI structure for a RESTful Web service are:
Hide the server-side scripting technology file extensions (.jsp, .php, .asp), if any, so you can port to something else without changing the URIs.
- Keep everything lowercase.
- Substitute spaces with hyphens or underscores (one or the other).
- Avoid query strings as much as you can.
- Instead of using the 404 Not Found code if the request URI is for a partial path, always provide a default page or resource as a response.
Transfer XML, JSON, or both
| MIME-Type |
Content-Type |
| JSON |
application/json |
| XML |
application/xml |
| XHTML |
application/xhtml+xml |
This allows the service to be used by a variety of clients written in different languages running on different platforms and devices. Using MIME types and the HTTP Accept header is a mechanism known as content negotiation, which lets clients choose which data format is right for them and minimizes data coupling between the service and the applications that use it.