What exactly is RESTful programming?

REST is the underlying architectural principle of the web. The amazing thing about the web is the fact that clients (browsers) and servers can interact in complex ways without the client knowing anything beforehand about the server and the resources it hosts. The key constraint is that the server and client must both agree on the media used, which in the case of the web is HTML.

An API that adheres to the principles of REST does not require the client to know anything about the structure of the API. Rather, the server needs to provide whatever information the client needs to interact with the service. An HTML form is an example of this: The server specifies the location of the resource and the required fields. The browser doesn't know in advance where to submit the information, and it doesn't know in advance what information to submit. Both forms of information are entirely supplied by the server. (This principle is called HATEOAS: Hypermedia As The Engine Of Application State.)

So, how does this apply to HTTP, and how can it be implemented in practice? HTTP is oriented around verbs and resources. The two verbs in mainstream usage are GET and POST, which I think everyone will recognize. However, the HTTP standard defines several others such as PUT and DELETE. These verbs are then applied to resources, according to the instructions provided by the server.

For example, Let's imagine that we have a user database that is managed by a web service. Our service uses a custom hypermedia based on JSON, for which we assign the mimetype application/json+userdb (There might also be an application/xml+userdb and application/whatever+userdb - many media types may be supported). The client and the server have both been programmed to understand this format, but they don't know anything about each other. As Roy Fielding points out:

A REST API should spend almost all of its descriptive effort in defining the media type(s) used for representing resources and driving application state, or in defining extended relation names and/or hypertext-enabled mark-up for existing standard media types.

A request for the base resource / might return something like this:

Request

GET /
Accept: application/json+userdb

Response

200 OK
Content-Type: application/json+userdb

{
    "version": "1.0",
    "links": [
        {
            "href": "/user",
            "rel": "list",
            "method": "GET"
        },
        {
            "href": "/user",
            "rel": "create",
            "method": "POST"
        }
    ]
}

We know from the description of our media that we can find information about related resources from sections called "links". This is called Hypermedia controls. In this case, we can tell from such a section that we can find a user list by making another request for /user:

Request

GET /user
Accept: application/json+userdb

Response

200 OK
Content-Type: application/json+userdb

{
    "users": [
        {
            "id": 1,
            "name": "Emil",
            "country: "Sweden",
            "links": [
                {
                    "href": "/user/1",
                    "rel": "self",
                    "method": "GET"
                },
                {
                    "href": "/user/1",
                    "rel": "edit",
                    "method": "PUT"
                },
                {
                    "href": "/user/1",
                    "rel": "delete",
                    "method": "DELETE"
                }
            ]
        },
        {
            "id": 2,
            "name": "Adam",
            "country: "Scotland",
            "links": [
                {
                    "href": "/user/2",
                    "rel": "self",
                    "method": "GET"
                },
                {
                    "href": "/user/2",
                    "rel": "edit",
                    "method": "PUT"
                },
                {
                    "href": "/user/2",
                    "rel": "delete",
                    "method": "DELETE"
                }
            ]
        }
    ],
    "links": [
        {
            "href": "/user",
            "rel": "create",
            "method": "POST"
        }
    ]
}

We can tell a lot from this response. For instance, we now know we can create a new user by POSTing to /user:

Request

POST /user
Accept: application/json+userdb
Content-Type: application/json+userdb

{
    "name": "Karl",
    "country": "Austria"
}

Response

201 Created
Content-Type: application/json+userdb

{
    "user": {
        "id": 3,
        "name": "Karl",
        "country": "Austria",
        "links": [
            {
                "href": "/user/3",
                "rel": "self",
                "method": "GET"
            },
            {
                "href": "/user/3",
                "rel": "edit",
                "method": "PUT"
            },
            {
                "href": "/user/3",
                "rel": "delete",
                "method": "DELETE"
            }
        ]
    },
    "links": {
       "href": "/user",
       "rel": "list",
       "method": "GET"
    }
}

We also know that we can change existing data:

Request

PUT /user/1
Accept: application/json+userdb
Content-Type: application/json+userdb

{
    "name": "Emil",
    "country": "Bhutan"
}

Response

200 OK
Content-Type: application/json+userdb

{
    "user": {
        "id": 1,
        "name": "Emil",
        "country": "Bhutan",
        "links": [
            {
                "href": "/user/1",
                "rel": "self",
                "method": "GET"
            },
            {
                "href": "/user/1",
                "rel": "edit",
                "method": "PUT"
            },
            {
                "href": "/user/1",
                "rel": "delete",
                "method": "DELETE"
            }
        ]
    },
    "links": {
       "href": "/user",
       "rel": "list",
       "method": "GET"
    }
}

Notice that we are using different HTTP verbs (GET, PUT, POST, DELETE etc.) to manipulate these resources, and that the only knowledge we presume on the client's part is our media definition.

Further reading:

• The many much better answers on this very page.
• How I explained REST to my wife.
• How I explained REST to my wife.
• Martin Fowler's thoughts
• PayPal's API has hypermedia controls

(This answer has been the subject of a fair amount of criticism for missing the point. For the most part, that has been a fair critique. What I originally described was more in line with how REST was usually implemented a few years ago when I first wrote this, rather than its true meaning. I've revised the answer to better represent the real meaning.)

An architectural style called REST (Representational State Transfer) advocates that web applications should use HTTP as it was originally envisioned. Lookups should use GET requests. PUT, POST, and DELETE requests should be used for mutation, creation, and deletion respectively.

REST proponents tend to favor URLs, such as

http://myserver.com/catalog/item/1729

but the REST architecture does not require these "pretty URLs". A GET request with a parameter

http://myserver.com/catalog?item=1729

is every bit as RESTful.

Keep in mind that GET requests should never be used for updating information. For example, a GET request for adding an item to a cart

http://myserver.com/addToCart?cart=314159&item=1729

would not be appropriate. GET requests should be idempotent. That is, issuing a request twice should be no different from issuing it once. That's what makes the requests cacheable. An "add to cart" request is not idempotent—issuing it twice adds two copies of the item to the cart. A POST request is clearly appropriate in this context. Thus, even a RESTful web application needs its share of POST requests.

This is taken from the excellent book Core JavaServer faces book by David M. Geary.

RESTful programming is about:

• resources being identified by a persistent identifier: URIs are the ubiquitous choice of identifier these days
• resources being manipulated using a common set of verbs: HTTP methods are the commonly seen case - the venerable Create, Retrieve, Update, Delete becomes POST, GET, PUT, and DELETE. But REST is not limited to HTTP, it is just the most commonly used transport right now.
• the actual representation retrieved for a resource is dependent on the request and not the identifier: use Accept headers to control whether you want XML, HTTP, or even a Java Object representing the resource
• maintaining the state in the object and representing the state in the representation
• representing the relationships between resources in the representation of the resource: the links between objects are embedded directly in the representation
• resource representations describe how the representation can be used and under what circumstances it should be discarded/refetched in a consistent manner: usage of HTTP Cache-Control headers

The last one is probably the most important in terms of consequences and overall effectiveness of REST. Overall, most of the RESTful discussions seem to center on HTTP and its usage from a browser and what not. I understand that R. Fielding coined the term when he described the architecture and decisions that lead to HTTP. His thesis is more about the architecture and cache-ability of resources than it is about HTTP.

If you are really interested in what a RESTful architecture is and why it works, read his thesis a few times and read the whole thing not just Chapter 5! Next look into why DNS works. Read about the hierarchical organization of DNS and how referrals work. Then read and consider how DNS caching works. Finally, read the HTTP specifications (RFC2616 and RFC3040 in particular) and consider how and why the caching works the way that it does. Eventually, it will just click. The final revelation for me was when I saw the similarity between DNS and HTTP. After this, understanding why SOA and Message Passing Interfaces are scalable starts to click.

I think that the most important trick to understanding the architectural importance and performance implications of a RESTful and Shared Nothing architectures is to avoid getting hung up on the technology and implementation details. Concentrate on who owns resources, who is responsible for creating/maintaining them, etc. Then think about the representations, protocols, and technologies.

This is what it might look like.

Create a user with three properties:

POST /user
fname=John&lname=Doe&age=25

The server responds:

200 OK
Location: /user/123

In the future, you can then retrieve the user information:

GET /user/123

The server responds:

200 OK
<fname>John</fname><lname>Doe</lname><age>25</age>

To modify the record (lname and age will remain unchanged):

PATCH /user/123
fname=Johnny

To update the record (and consequently lname and age will be NULL):

PUT /user/123
fname=Johnny

A great book on REST is REST in Practice.

Must reads are Representational State Transfer (REST) and REST APIs must be hypertext-driven

See Martin Fowlers article the Richardson Maturity Model (RMM) for an explanation on what an RESTful service is.

To be RESTful a Service needs to fulfill the Hypermedia as the Engine of Application State. (HATEOAS), that is, it needs to reach level 3 in the RMM, read the article for details or the slides from the qcon talk.

The HATEOAS constraint is an acronym for Hypermedia as the Engine of Application State. This principle is the key differentiator between a REST and most other forms of client server system.

...

A client of a RESTful application need only know a single fixed URL to access it. All future actions should be discoverable dynamically from hypermedia links included in the representations of the resources that are returned from that URL. Standardized media types are also expected to be understood by any client that might use a RESTful API. (From Wikipedia, the free encyclopedia)

REST Litmus Test for Web Frameworks is a similar maturity test for web frameworks.

Approaching pure REST: Learning to love HATEOAS is a good collection of links.

REST versus SOAP for the Public Cloud discusses the current levels of REST usage.

REST and versioning discusses Extensibility, Versioning, Evolvability, etc. through Modifiability

What is REST?

REST stands for Representational State Transfer. (It is sometimes spelled "ReST".) It relies on a stateless, client-server, cacheable communications protocol -- and in virtually all cases, the HTTP protocol is used.

REST is an architecture style for designing networked applications. The idea is that, rather than using complex mechanisms such as CORBA, RPC or SOAP to connect between machines, simple HTTP is used to make calls between machines.

In many ways, the World Wide Web itself, based on HTTP, can be viewed as a REST-based architecture. RESTful applications use HTTP requests to post data (create and/or update), read data (e.g., make queries), and delete data. Thus, REST uses HTTP for all four CRUD (Create/Read/Update/Delete) operations.

REST is a lightweight alternative to mechanisms like RPC (Remote Procedure Calls) and Web Services (SOAP, WSDL, et al.). Later, we will see how much more simple REST is.

Despite being simple, REST is fully-featured; there's basically nothing you can do in Web Services that can't be done with a RESTful architecture. REST is not a "standard". There will never be a W3C recommendataion for REST, for example. And while there are REST programming frameworks, working with REST is so simple that you can often "roll your own" with standard library features in languages like Perl, Java, or C#.

One of the best reference I found when I try to find the simple real meaning of rest.

http://rest.elkstein.org/

REST is using the various HTTP methods (mainly GET/PUT/DELETE) to manipulate data.

Rather than using a specific URL to delete a method (say, /user/123/delete), you would send a DELETE request to the /user/[id] URL, to edit a user, to retrieve info on a user you send a GET request to /user/[id]

For example, instead a set of URLs which might look like some of the following..

GET /delete_user.x?id=123
GET /user/delete
GET /new_user.x
GET /user/new
GET /user?id=1
GET /user/id/1

You use the HTTP "verbs" and have..

GET /user/2
DELETE /user/2
PUT /user

It's programming where the architecture of your system fits the REST style laid out by Roy Fielding in his thesis. Since this is the architectural style that describes the web (more or less), lots of people are interested in it.

Bonus answer: No. Unless you're studying software architecture as an academic or designing web services, there's really no reason to have heard the term.

I would say RESTful programming would be about creating systems (API) that follow the REST architectural style.

I found this fantastic, short, and easy to understand tutorial about REST by Dr. M. Elkstein and quoting the essential part that would answer your question for the most part:

Learn REST: A Tutorial

REST is an architecture style for designing networked applications. The idea is that, rather than using complex mechanisms such as CORBA, RPC or SOAP to connect between machines, simple HTTP is used to make calls between machines.

• In many ways, the World Wide Web itself, based on HTTP, can be viewed as a REST-based architecture.

RESTful applications use HTTP requests to post data (create and/or update), read data (e.g., make queries), and delete data. Thus, REST uses HTTP for all four CRUD (Create/Read/Update/Delete) operations.

I don't think you should feel stupid for not hearing about REST outside Stack Overflow..., I would be in the same situation!; answers to this other SO question on Why is REST getting big now could ease some feelings.

I apologize if I'm not answering the question directly, but it's easier to understand all this with more detailed examples. Fielding is not easy to understand due to all the abstraction and terminology.

There's a fairly good example here:

Explaining REST and Hypertext: Spam-E the Spam Cleaning Robot

And even better, there's a clean explanation with simple examples here (the powerpoint is more comprehensive, but you can get most of it in the html version):

http://www.xfront.com/REST.ppt or http://www.xfront.com/REST.html

After reading the examples, I could see why Ken is saying that REST is hypertext-driven. I'm not actually sure that he's right though, because that /user/123 is a URI that points to a resource, and it's not clear to me that it's unRESTful just because the client knows about it "out-of-band."

That xfront document explains the difference between REST and SOAP, and this is really helpful too. When Fielding says, "That is RPC. It screams RPC.", it's clear that RPC is not RESTful, so it's useful to see the exact reasons for this. (SOAP is a type of RPC.)

What is REST?

REST in official words, REST is an architectural style built on certain principles using the current “Web” fundamentals. There are 5 basic fundamentals of web which are leveraged to create REST services.

• Principle 1: Everything is a Resource In the REST architectural style, data and functionality are considered resources and are accessed using Uniform Resource Identifiers (URIs), typically links on the Web.
• Principle 2: Every Resource is Identified by a Unique Identifier (URI)
• Principle 3: Use Simple and Uniform Interfaces
• Principle 4: Communication is Done by Representation
• Principle 5: Be Stateless

I see a bunch of answers that say putting everything about user 123 at resource "/user/123" is RESTful.

Roy Fielding, who coined the term, says REST APIs must be hypertext-driven. In particular, "A REST API must not define fixed resource names or hierarchies".

So if your "/user/123" path is hardcoded on the client, it's not really RESTful. A good use of HTTP, maybe, maybe not. But not RESTful. It has to come from hypertext.

The answer is very simple, there is a dissertation written by Roy Fielding.]1 In that dissertation he defines the REST principles. If an application fulfills all of those principles, then that is a REST application.

The term RESTful was created because ppl exhausted the word REST by calling their non-REST application as REST. After that the term RESTful was exhausted as well. Nowadays we are talking about Web APIs and Hypermedia APIs, because the most of the so called REST applications did not fulfill the HATEOAS part of the uniform interface constraint.

The REST constraints are the following:

1. client-server architecture

   So it does not work with for example PUB/SUB sockets, it is based on REQ/REP.

2. stateless communication

   So the server does not maintain the states of the clients. This means that you cannot use server a side session storage and you have to authenticate every request. Your clients possibly send basic auth headers through an encrypted connection. (By large applications it is hard to maintain many sessions.)

3. usage of cache if you can

   So you don't have to serve the same requests again and again.

4. uniform interface as common contract between client and server

   The contract between the client and the server is not maintained by the server. In other words the client must be decoupled from the implementation of the service. You can reach this state by using standard solutions, like the IRI (URI) standard to identify resources, the HTTP standard to exchange messages, standard MIME types to describe the body serialization format, metadata (possibly RDF vocabs, microformats, etc.) to describe the semantics of different parts of the message body. To decouple the IRI structure from the client, you have to send hyperlinks to the clients in hypermedia formats like (HTML, JSON-LD, HAL, etc.). So a client can use the metadata (possibly link relations, RDF vocabs) assigned to the hyperlinks to navigate the state machine of the application through the proper state transitions in order to achieve its current goal.

   For example when a client wants to send an order to a webshop, then it have to check the hyperlinks in the responses sent by the webshop. By checking the links it founds one described with the http://schema.org/OrderAction. The client know the schema.org vocab, so it understands that by activating this hyperlink it will send the order. So it activates the hyperlink and sends a POST https://example.com/api/v1/order message with the proper body. After that the service processes the message and responds with the result having the proper HTTP status header, for example 201 - created by success. To annotate messages with detailed metadata the standard solution to use an RDF format, for example JSON-LD with a REST vocab, for example Hydra and domain specific vocabs like schema.org or any other linked data vocab and maybe a custom application specific vocab if needed. Now this is not easy, that's why most ppl use HAL and other simple formats which usually provide only a REST vocab, but no linked data support.

5. build a layered system to increase scalability

   The REST system is composed of hierarchical layers. Each layer contains components which use the services of components which are in the next layer below. So you can add new layers and components effortless.

   For example there is a client layer which contains the clients and below that there is a service layer which contains a single service. Now you can add a client side cache between them. After that you can add another service instance and a load balancer, and so on... The client code and the service code won't change.

6. code on demand to extend client functionality

   This constraint is optional. For example you can send a parser for a specific media type to the client, and so on... In order to do this you might need a standard plugin loader system in the client, or your client will be coupled to the plugin loader solution.

REST constraints result a highly scalable system in where the clients are decoupled from the implementations of the services. So the clients can be reusable, general just like the browsers on the web. The clients and the services share the same standards and vocabs, so they can understand each other despite the fact that the client does not know the implementation details of the service. This makes possible to create automated clients which can find and utilize REST services to achieve their goals. In long term these clients can communicate to each other and trust each other with tasks, just like humans do. If we add learning patterns to such clients, then the result will be one or more AI using the web of machines instead of a single server park. So at the end the dream of Berners Lee: the semantic web and the artificial intelligence will be reality. So in 2030 we end up terminated by the Skynet. Until then ... ;-)

RESTful (Representational state transfer) API programming is writing web applications in any programming language by following 5 basic software architectural style principles:

1. Resource (data, information).
2. Unique global identifier (all resources are unique identified by URI).
3. Uniform interface - use simple and standard interface (HTTP).
4. Representation - all communication is done by representation (e.g. XML/JSON)
5. Stateless (every request happens in complete isolation, it's easier to cache and load-balance),

In other words you're writing simple point-to-point network applications over HTTP which uses verbs such as GET, POST, PUT or DELETE by implementing RESTful architecture which proposes standardization of the interface each “resource” exposes. It is nothing that using current features of the web in a simple and effective way (highly successful, proven and distributed architecture). It is an alternative to more complex mechanisms like SOAP, CORBA and RPC.

RESTful programming conforms to Web architecture design and, if properly implemented, it allows you to take the full advantage of scalable Web infrastructure.

Here is my basic outline of REST. I tried to demonstrate the thinking behind each of the components in a RESTful architecture so that understanding the concept is more intuitive. Hopefully this helps demystify REST for some people!

REST (Representational State Transfer) is a design architecture that outlines how networked resources (i.e. nodes that share information) are designed and addressed. In general, a RESTful architecture makes it so that the client (the requesting machine) and the server (the responding machine) can request to read, write, and update data without the client having to know how the server operates and the server can pass it back without needing to know anything about the client. Okay, cool...but how do we do this in practice?

• The most obvious requirement is that there needs to be a universal language of some sort so that the server can tell the client what it is trying to do with the request and for the server to respond.

• But to find any given resource and then tell the client where that resource lives, there needs to be a universal way of pointing at resources. This is where Universal Resource Identifiers (URIs) come in; they are basically unique addresses to find the resources.

But the REST architecture doesn’t end there! While the above fulfills the basic needs of what we want, we also want to have an architecture that supports high volume traffic since any given server usually handles responses from a number of clients. Thus, we don’t want to overwhelm the server by having it remember information about previous requests.

• Therefore, we impose the restriction that each request-response pair between the client and the server is independent, meaning that the server doesn’t have to remember anything about previous requests (previous states of the client-server interaction) to respond to a new request. This means that we want our interactions to be stateless.

• To further ease the strain on our server from redoing computations that have already been recently done for a given client, REST also allows caching. Basically, caching means to take a snapshot of the initial response provided to the client. If the client makes the same request again, the server can provide the client with the snapshot rather than redo all of the computations that were necessary to create the initial response. However, since it is a snapshot, if the snapshot has not expired--the server sets an expiration time in advance--and the response has been updated since the initial cache (i.e. the request would give a different answer than the cached response), the client will not see the updates until the cache expires (or the cache is cleared) and the response is rendered from scratch again.

• The last thing that you’ll often here about RESTful architectures is that they are layered. We have actually already been implicitly discussing this requirement in our discussion of the interaction between the client and server. Basically, this means that each layer in our system interacts only with adjacent layers. So in our discussion, the client layer interacts with our server layer (and vice versa), but there might be other server layers that help the primary server process a request that the client does not directly communicate with. Rather, the server passes on the request as necessary.

Now, if all of this sounds familiar, then great. The Hypertext Transfer Protocol (HTTP), which defines the communication protocol via the World Wide Web is an implementation of the abstract notion of RESTful architecture (or an implementation of the abstract REST class if you're an OOP fanatic like me). In this implementation of REST, the client and server interact via GET, POST, PUT, DELETE, etc., which are part of the universal language and the resources can be pointed to using URLs.

If I had to reduce the original dissertation on REST to just 3 short sentences, I think the following captures its essence:

1. Resources are requested via URLs.
2. Protocols are limited to what you can communicate by using URLs.
3. Metadata is passed as name-value pairs (post data and query string parameters).

After that, it's easy to fall into debates about adaptations, coding conventions, and best practices.

Interestingly, there is no mention of HTTP POST, GET, DELETE, or PUT operations in the dissertation. That must be someone's later interpretation of a "best practice" for a "uniform interface".

When it comes to web services, it seems that we need some way of distinguishing WSDL and SOAP based architectures which add considerable overhead and arguably much unnecessary complexity to the interface. They also require additional frameworks and developer tools in order to implement. I'm not sure if REST is the best term to distinguish between common-sense interfaces and overly engineered interfaces such as WSDL and SOAP. But we need something.

REST is an architectural pattern and style of writing distributed applications. It is not a programming style in the narrow sense.

Saying you use the REST style is similar to saying that you built a house in a particular style: for example Tudor or Victorian. Both REST as an software style and Tudor or Victorian as a home style can be defined by the qualities and constraints that make them up. For example REST must have Client Server separation where messages are self-describing. Tudor style homes have Overlapping gables and Roofs that are steeply pitched with front facing gables. You can read Roy's dissertation to learn more about the constraints and qualities that make up REST.

REST unlike home styles has had a tough time being consistently and practically applied. This may have been intentional. Leaving its actual implementation up to the designer. So you are free to do what you want so as long as you meet the constraints set out in the dissertation you are creating REST Systems.

Bonus:

The entire web is based on REST (or REST was based on the web). Therefore as a web developer you might want aware of that although it's not necessary to write good web apps.

I think the point of restful is the separation of the statefulness into a higher layer while making use of the internet (protocol) as a stateless transport layer. Most other approaches mix things up.

It's been the best practical approach to handle the fundamental changes of programming in internet era. Regarding the fundamental changes, Erik Meijer has a discussion on show here: http://www.infoq.com/interviews/erik-meijer-programming-language-design-effects-purity#view_93197 . He summarizes it as the five effects, and presents a solution by designing the solution into a programming language. The solution, could also be achieved in the platform or system level, regardless of the language. The restful could be seen as one of the solutions that has been very successful in the current practice.

With restful style, you get and manipulate the state of the application across an unreliable internet. If it fails the current operation to get the correct and current state, it needs the zero-validation principal to help the application to continue. If it fails to manipulate the state, it usually uses multiple stages of confirmation to keep things correct. In this sense, rest is not itself a whole solution, it needs the functions in other part of the web application stack to support its working.

Given this view point, the rest style is not really tied to internet or web application. It's a fundamental solution to many of the programming situations. It is not simple either, it just makes the interface really simple, and copes with other technologies amazingly well.

Just my 2c.

Edit: Two more important aspects:

• Statelessness is misleading. It is about the restful API, not the application or system. The system needs to be stateful. Restful design is about designing a stateful system based on a stateless API. Some quotes from another QA:

  • REST, operates on resource representations, each one identified by an URL. These are typically not data objects, but complex objects abstractions.
  • REST stands for "representational state transfer", which means it's all about communicating and modifying the state of some resource in a system.

• Idempotence: An often-overlooked part of REST is the idempotency of most verbs. That leads to robust systems and less interdependency of exact interpretations of the semantics.

REST defines 6 architectural constraints which make any web service – a true RESTful API.

1. Uniform interface
2. Client–server
3. Stateless
4. Cacheable
5. Layered system
6. Code on demand (optional)

https://restfulapi.net/rest-architectural-constraints/

Old question, newish way of answering. There's a lot of misconception out there about this concept. I always try to remember:

1. Structured URLs and Http Methods/Verbs are not the definition of restful programming.
2. JSON is not restful programming
3. RESTful programming is not for APIs

I define restful programming as

An application is restful if it provides resources (being the combination of data + state transitions controls) in a media type the client understands

To be a restful programmer you must be trying to build applications that allow actors to do things. Not just exposing the database.

State transition controls only make sense if the client and server agree upon a media type representation of the resource. Otherwise there's no way to know what's a control and what isn't and how to execute a control. IE if browsers didn't know <form> tags in html then there'd be nothing for you to submit to transition state in your browser.

I'm not looking to self promote, but i expand on these ideas to great depth in my talk http://techblog.bodybuilding.com/2016/01/video-what-is-restful-200.html .

An excerpt from my talk is about the often referred to richardson maturity model, i don't believe in the levels, you either are RESTful (level 3) or you are not, but what i like to call out about it is what each level does for you on your way to RESTful

This is amazingly long "discussion" and yet quite confusing to say the least.

IMO:

1) There is no such a thing as restful programing, without a big joint and lots of beer :)

2) Representational State Transfer (REST) is an architectural style specified in the dissertation of Roy Fielding. It has a number of constraints. If your Service/Client respect those then it is RESTful. This is it.

You can summarize(significantly) the constraints to :

• stateless communication
• respect HTTP specs (if HTTP is used)
• clearly communicates the content formats transmitted
• use hypermedia as the engine of application state

There is another very good post which explains things nicely.

A lot of answers copy/pasted valid information mixing it and adding some confusion. People talk here about levels, about RESTFul URIs(there is not such a thing!), apply HTTP methods GET,POST,PUT ... REST is not about that or not only about that.

For example links - it is nice to have a beautifully looking API but at the end the client/server does not really care of the links you get/send it is the content that matters.

In the end any RESTful client should be able to consume to any RESTful service as long as the content format is known.

This answer is for absolute beginners, let's know about most used API architecture today.

To understand Restful programming or Restful API. First, you have to understand what API is, on a very high-level API stands for Application Programming Interface, it's basically a piece of software that can be used by another piece of software in order to allow applications to talk to each other.

The most widely used type of API in the globe is web APIs while an app that sends data to a client whenever a request comes in.

In fact, APIs aren't only used to send data and aren't always related to web development or javascript or python or any programming language or framework.

The application in API can actually mean many different things as long as the pice of software is relatively stand-alone. Take for example, the File System or the HTTP Modules we can say that they are small pieces of software and we can use them, we can interact with them by using their API. For example when we use the read file function for a file system module of any programming language, we are actually using the file_system_reading API. Or when we do DOM manipulation in the browser, we're are not really using the JavaScript language itself, but rather, the DOM API that browser exposes to us, so it gives us access to it. Or even another example let's say we create a class in any programming language like Java and then add some public methods or properties to it, these methods will then be the API of each object created from that class because we are giving other pieces of software the possibility of interacting with our initial piece of software, the objects in this case. S0, API has actually a broader meaning than just building web APIs.

Now let's take a look at the REST Architecture to build APIs.

REST which stands for Representational State Transfer is basically a way of building web APIs in a logical way, making them easy to consume for ourselves or for others.

To build Restful APIs following the REST Architecture, we just need to follow a couple of principles. 1. We need to separate our API into logical resources. 2. These resources should then be exposed by using resource-based URLs. 3. To perform different actions on data like reading, creating, or deleting data the API should use the right HTTP methods and not the URL. 4. Now the data that we actually send back to the client or that we received from the client should usually use the JSON data format, were some formatting standard applied to it. 5. Finally, another important principle of EST APIs is that they must be stateless.

Separate APIs into logical resources: The key abstraction of information in REST is a resource, and therefore all the data that we wanna share in the API should be divided into logical resources. What actually is a resource? Well, in the context of REST it is an object or a representation of something which has some data associated to it. For example, applications like tour-guide tours, or users, places, or revies are of the example of logical resources. So basically any information that can be named can be a resource. Just has to name, though, not a verb.

Expose Structure: Now we need to expose, which means to make available, the data using some structured URLs, that the client can send a request to. For example something like this entire address is called the URL. and this / addNewTour is called and API Endpoint.

Our API will have many different endpoints just like bellow

https://www.tourguide.com/addNewTour
https://www.tourguide.com/getTour
https://www.tourguide.com/updateTour
https://www.tourguide.com/deleteTour
https://www.tourguide.com/getRoursByUser
https://www.tourguide.com/deleteToursByUser

Each of these API will send different data back to the client on also perform different actions. Now there is something very wrong with these endpoints here because they really don't follow the third rule which says that we should only use the HTTP methods in order to perform actions on data. So endpoints should only contain our resources and not the actions that we are performed on them because they will quickly become a nightmare to maintain.

How should we use these HTTP methods in practice? Well let's see how these endpoints should actually look like starting with /getTour. So this getTour endpoint is to get data about a tour and so we should simply name the endpoint /tours and send the data whenever a get request is made to this endpoint. So in other words, when a client uses a GET HTTP method to access the endpoint,

(we only have resources in the endpoint or in the URL and no verbs because the verb is now in the HTTP method, right? The common practice to always use the resource name in the plural which is why I wrote /tours nor /tour.) The convention is that when calling endpoint /tours will get back all the tours that are in a database, but if we only want the tour with one ID, let's say seven, we add that seven after another slash(/tours/7) or in a search query (/tours?id=7), And of course, it could also be the name of a tour instead of the ID.

HTTP Methods: What's really important here is how the endpoint name is the exact same name for all.

GET: (for requesting data from the server.)

https://www.tourguide.com/tours/7
POST: (for sending data to the server.)
https://www.tourguide.com/tours
PUT/PATCH: (for updating requests for data to the server.) https://www.tourguide.com/tours/7
DELETE: (for deleting request for data to the server.)
https://www.tourguide.com/tours/7

The difference between PUT and PATCH-> By using PUT, the client is supposed to send the entire updated object, while with PATCH it is supposed to send only the part of the object that has been changed.

By using HTTP methods users can perform basic four CRUD operations, CRUD stands for Create, Read, Update, and Delete.

Now there could be a situation like a bellow:

So, /getToursByUser can simply be translated to /users/tours, for user number 3 end point will be like /users/3/tours.

if we want to delete a particular tour of a particular user then the URL should be like /users/3/tours/7, here user id:3 and tour id: 7.

So there really are tons of possibilities of combining resources like this.

Send data as JSON: Now about data that the client actually receives, or that the server receives from the client, usually we use the JSON Data Format. A typical JSON might look like below: Before sending JSON Data we usually do some simple response formatting, there are a couple of standards for this, but one of the very simple ones called Jsend. We simply create a new object, then add a status message to it in order to inform the client whether the request was a success, fail, or error. And then we put our original data into a new object called Data.

Wrapping the data into an additional object like we did here is called Enveloping, and it's a common practice to mitigate some security issues and other problems.

Restful API should always be stateless: Finally a RESTful API should always be stateless meaning that, in a stateless RESTful API all state is handled on the client side no on the server. And state simply refers to a piece of data in the application that might change over time. For example, whether a certain user is logged in or on a page with a list with several pages what the current page is? Now the fact that the state should be handled on the client means that each request must contain all the information that is necessary to process a certain request on the server. So the server should never ever have to remember the previous request in order to process the current request.

Let's say that currently we are on page five and we want to move forward to page six. Sow we could have a simple endpoint called /tours/nextPage and submit a request to server, but the server would then have to figure out what the current page is, and based on that server will send the next page to the client. In other words, the server would have to remember the previous request. This is what exactly we want to avoid in RESTful APIs.

Instead of this case, we should create a /tours/page endpoint and paste the number six to it in order to request page number six /tours/page/6 . So the server doesn't have to remember anything in, all it has to do is to send back data for page number six as we requested.

Statelessness and Statefulness which is the opposite are very important concepts in computer science and applications in general

REST === HTTP analogy is not correct until you do not stress to the fact that it "MUST" be HATEOAS driven.

Roy himself cleared it here.

A REST API should be entered with no prior knowledge beyond the initial URI (bookmark) and set of standardized media types that are appropriate for the intended audience (i.e., expected to be understood by any client that might use the API). From that point on, all application state transitions must be driven by client selection of server-provided choices that are present in the received representations or implied by the user’s manipulation of those representations. The transitions may be determined (or limited by) the client’s knowledge of media types and resource communication mechanisms, both of which may be improved on-the-fly (e.g., code-on-demand).

[Failure here implies that out-of-band information is driving interaction instead of hypertext.]

REST stands for Representational state transfer.

It relies on a stateless, client-server, cacheable communications protocol -- and in virtually all cases, the HTTP protocol is used.

REST is often used in mobile applications, social networking Web sites, mashup tools and automated business processes. The REST style emphasizes that interactions between clients and services is enhanced by having a limited number of operations (verbs). Flexibility is provided by assigning resources (nouns) their own unique universal resource indicators (URIs).

Introduction about Rest

The point of rest is that if we agree to use a common language for basic operations (the http verbs), the infrastructure can be configured to understand them and optimize them properly, for example, by making use of caching headers to implement caching at all levels.

With a properly implemented restful GET operation, it shouldn't matter if the information comes from your server's DB, your server's memcache, a CDN, a proxy's cache, your browser's cache or your browser's local storage. The fasted, most readily available up to date source can be used.

Saying that Rest is just a syntactic change from using GET requests with an action parameter to using the available http verbs makes it look like it has no benefits and is purely cosmetic. The point is to use a language that can be understood and optimized by every part of the chain. If your GET operation has an action with side effects, you have to skip all HTTP caching or you'll end up with inconsistent results.

Talking is more than simply exchanging information. A Protocol is actually designed so that no talking has to occur. Each party knows what their particular job is because it is specified in the protocol. Protocols allow for pure information exchange at the expense of having any changes in the possible actions. Talking, on the other hand, allows for one party to ask what further actions can be taken from the other party. They can even ask the same question twice and get two different answers, since the State of the other party may have changed in the interim. Talking is RESTful architecture. Fielding's thesis specifies the architecture that one would have to follow if one wanted to allow machines to talk to one another rather than simply communicate.

There is not such notion as "RESTful programming" per se. It would be better called RESTful paradigm or even better RESTful architecture. It is not a programming language. It is a paradigm.

From Wikipedia:

In computing, representational state transfer (REST) is an architectural style used for web development.

This is very less mentioned everywhere but the Richardson's Maturity Model is one of the best methods to actually judge how Restful is one's API. More about it here:

Richardson's Maturity Model

What is API Testing?

API testing utilizes programming to send calls to the API and get the yield. It testing regards the segment under test as a black box. The objective of API testing is to confirm right execution and blunder treatment of the part preceding its coordination into an application.

REST API

REST: Representational State Transfer.

• It’s an arrangement of functions on which the testers performs requests and receive responses. In REST API interactions are made via HTTP protocol.
• REST also permits communication between computers with each other over a network.
• For sending and receiving messages, it involves using HTTP methods, and it does not require a strict message definition, unlike Web services.
• REST messages often accepts the form either in form of XML, or JavaScript Object Notation (JSON).

4 Commonly Used API Methods:-

1. GET: – It provides read only access to a resource.
2. POST: – It is used to create or update a new resource.
3. PUT: – It is used to update or replace an existing resource or create a new resource.
4. DELETE: – It is used to remove a resource.

Steps to Test API Manually:-

To use API manually, we can use browser based REST API plugins.

1. Install POSTMAN(Chrome) / REST(Firefox) plugin
2. Enter the API URL
3. Select the REST method
4. Select content-Header
5. Enter Request JSON (POST)
6. Click on send
7. It will return output response

Steps to Automate REST API

I would say that an important building block in understanding REST lies in the endpoints or mappings, such as /customers/{id}/balance.

You can imagine such an endpoint as being the connecting pipeline from the website (front-end) to your database/server (back-end). Using them, the front-end can perform back-end operations which are defined in the corresponding methods of any REST mapping in your application.