I am still in the process of getting comfortable with doing things the REST way.
In my situation, client software will be interacting with a RESTful service. Rarely, the client will upload its entire database of entities (each entity serializes into a roughly 5kb chunk of xml).
Perhaps I'm wrong, but the proper RESTful strategy seems to be to cycle through each entity and individually POST each one. However, there may plausibly be tens of thousands of these entities, and somehow so many rapid-fire POSTs doesn't seem kosher.
In this situation, it feels like packaging all the entities into one big xml representation would violate the RESTful way of doing things, but it would also avoid the need for thousands of POSTs.
Is there some standard-practice for accomplishing this? Thanks in advance!
I don't see why a "Packet of entities" cannot be considered a resource. Transactional writes certainly can consider database transaction to be a resource. I admit I haven't read Fielding's dissertation, but I don't see how wrapping several resources into a single representation would invalidate REST.
Database transactions do something like this. They will wrap smaller resources inside a transaction resource. It's true that usually they do this so that you can post those smaller resources, that can still be large, separately. But since the transaction itself is considered a resource, I don't believe that coming up with a representation for it that you could post as one POST request would make this design any less RESTful.
It's also used to the other direction. When the client GETs search results from the server, the server might wrap these inside a results resource so that the client can just get this one resource instead of several separate ones.
So I'd say that wrapping these small 5kb resources inside a larger collection resource can be considered RESTful and is probably the way you should go for.
There are at least two problems here which prevent you from being RESTful.
Each resource needs to be identified by a URI. Acting on the resource means that you must call the URI using an HTTP call. Consequently, you cannot call multiple actions in multiple resources in just one HTTP call.
The resources are identified by nouns and represent entities. This implies that to insert an Employee and a Car you need to call two different resources for each of the respective entities.
So in summation you cannot take a purely RESTful approach here. However, REST is designed to help by way of conventions, not constrict you. The best solution here is for you to create a custom action which does what you need.
Alternately, you can create a generic wrapper entity with INSERT, UPDATE and other actions which take in blobs of disparate data as XML. However, this will undermine your other end points because now it becomes possible to insert a Car record through the generic wrapper and through the /Car/ URI.
Without knowing much about your actual requirements, I would suggest you don't expose this functionality via REST specifically. Behind the scenes you could still call your INSERT action methods within the various Controllers once you break up the incoming collection if disparate objects.
As long as the big wrapper has a valid media-type then it is fine to treat it as a single resource. Figuring out what that media-type is going to be is the tricky part.
Nothing prevents you from creating more resources upon addition, aka post a resource that is a list of X to a resource that's a list of X using a POST.
You'd then send back a 201 created with the list of URIS of all resources created. Again, it's all perfectly allowable.
What you loose is the visibility to the intermediaries upon PUT, which prevent them from caching or modifying the specific resource at the specific URI. Although a smart intermediary would process the 201 for caching purposes.
And having one doesn't prevent you from having each created resource have its own URI post-creation (after the POST) and enable PUT / DELETE on those resources. Or a combination.
Related
I created a few Rest apis right now and I always preferred a solution, where I created an endpoint for each resource.
For example:
GET .../employees/{id}/account
GET .../supervisors/{id}/account
and the same with the other http methods like put, post and delete. This blows up my api pretty much. My rest apis in general preferred redundancy to reduce complexity but in this cases it always feels a bit cumbersome. So I create another approach where I work with inheritance to keep the "dry" principle.
In this case there is a base class User and via inheritance my employee and supervisor model extends from it. Now I only need one endpoint like
GET .../accounts/{id}
and the server decides which object is returned. Also while this thins out my api, it increases complexity and in my api documentation ( where I use spring rest docs ) I have to document two different Objects for the same endpoint.
Now I am not sure about what is the right way to do it ( or at least the better way ). When I think about Rest, I think in resources. So my employees are a seperate resource as well as my supervisors.
Because I always followed this approach, I tink I might be mentally run in it and maybe lost the objectivity.
It would be great if you can give my any objective advice on how this should be handled.
I built an online service that deals with this too. It's called Wirespec:
https://wirespec.dev
The backend automatically creates the url for users and their endpoints dynamically with very little code. The code for handling the frontend is written in Kotlin while the backend for generating APIs for users is written in Node.js. In both cases, the amount of code is very negligible and self-maintaining, meaning that if the user changes the name of their API, the endpoint automatically updates with the name. Here are some examples:
API: https://wirespec.dev/Wirespec/projects/apis/Stackoverflow/apis/getUserDetails
Endpoint: https://api.wirespec.dev/wirespec/stackoverflow/getuserdetails?id=100
So to answer your question, it really doesn't matter where you place the username in the url.
Try signing in to Wirespec with your Github account and you'll see where your Github username appears in the url.
There is, unfortunately, no wright or wrong answer to this one and it soley depends on how you want to design things.
With that being said, you need to distinguish between client and server. A client shouldn't know the nifty details of your API. It is just an arbitrary consumer of your API that is fed all the information it needs in order to make informed choices. I.e. if you want the client to send some data to the server that follows a certain structure, the best advice is to use from-like representations, such as HAL forms, Ion or even HTML. Forms not only teach a client about the respective properties a resource supports but also about the HTTP operation to use, the target URI to send the request to as well as the representation format to send the data in, which in case of HTML is application/x-www-form-urlencoded most of the time.
In regards to receiving data from the server, a client shouldn't attempt to extract knowledge from URIs directly, as they may change over time and thus break clients that rely on such a methodology, but rely on link relation names. Per URI there might be multiple link relation names attached to that URI. A client not knowing the meaning of one should simply ignore it. Here, either one of the standardized link relation names should be used or an extension mechanism as defined by Web linking. While an arbitrary client might not make sense from this "arbitrary string" out of the box, the link relation name may be considered the predicate in a tripple often used in ontologies where the link relation name "connects" the current resource with the one the link relation was annotated for. For a set of URIs and link relation names you might therefore "learn" a semantic graph over all the resources and how they are connected to each other. I.e. you might annotate an URI pointing to a form resource with prefetch to hint a client that it may load the content of the referenced URI if it is IDLE as the likelihood is high that the client will be interested to load that resource next anyway. The same URI might also be annotated with edit-form to hint a client that the resource will provide an edit form to send some data to the server. It might also contain a Web linking extension such as https://acme.org/ref/orderForm that allows clients, that support such a custom extension, to react to such a resource accordingly.
In your accounts example, it is totally fine to return different data for different resources of the same URI-path. I.e. resource A pointing to an employee account might only contain properties name, age, position, salery while resource B pointing to a supervisor could also contain a list of subordinates or the like. To a generic HTTP client these are two totally different resources even though they used a URI structure like /accounts/{id}. Resources in a REST architecture are untyped, meaning they don't have a type ouf of the box per se. Think of some arbitrary Web page you access through your browser. Your browser is not aware of whether the Web page it renders contains details about a specific car or about the most recent local news. HTML is designed to express a multitude of different data in the same way. Different media types though may provide more concrete hints about the data exchanged. I.e. text/vcard, applciation/vcard+xml or application/vcard+json all may respresent data describing an entity (i.e. human person, jusistic entity, animal, ...) while application/mathml+xml might be used to express certain mathematical formulas and so on. The more general a media type is, the more wiedspread usage it may find. With more narrow media types however you can provide more specific support. With content type negotiation you also have a tool at your hand where a client can express its capabilities to servers and if the server/API is smart enough it can respond with a representation the client is able to handle.
This in essence is all what REST is and if followed correctly allow the decoupling of clients from specific servers. While this might sound confusing and burdensome to implement at first, these techniques are intended if you strive for a long-lasting environment that still is able to operate in decateds to come. Evolution is inherently integrated into this phiolosophy and supported by the decoupled design. If you don't need all of that, REST might not be the thing you want to do actually. Buf if you still want something like REST, you for sure should design the interactions between client and server as if you'd intereact with a typical Web server. After all, REST is just a generalization of the concepts used on the Web quite successfully for the past two decades.
We are building set of new REST APIs.
Let's say we have a resource /users with the following fields:
{
id: 1
email: "test#user.com"
}
Clients implement this API and can then update this resource by sending a new resource representation to PUT /users/1.
Now let's say we add a new property name to the model like so:
{
id: 1
email: "test#user.com"
name: "test user"
}
If the models the existing clients are using are to call our API not updated, then calls to PUT /users/1 will remove the new name property since PUT is supposed to replace the resource. I know that the clients could work straight with the raw json to ensure they always receive any new properties that are added in the API, but that is a lot of extra work, and under normal circumstances clients are going to create their own model representations of the API resources on their side. This means that any time any new property is added, all clients need to update the code/models on their side to make sure they aren't accidentally removing properties. This creates unneeded coupling between systems.
As a way to solve this problem, we are considering not implementing PUT operations at all and switching updates to PATCH where properties that aren't passed in are simply not changed. That seems technically correct, but might not be in the spirit of REST. I am also slightly concerned about client support for the PATCH verb.
How are others solving this problem? Was is the best practice here?
You are in a situation where you need some form of API versioning. The most appropriate way is probably using a new media-type every time you make a change.
This way you can support older versions and a PUT would be perfectly legal.
If you don't want this and just stick to PATCH, PATCH is supported everywhere except if you use ancient browsers. Not something to worry about.
Switching from PUT to PATCH will not fix your problem, IMO. The root cause, IMO, is that clients already consider the data being returned for a representation to follow a certain type. According to Fielding
A REST API should never have “typed” resources that are significant to the client.
(Source)
Instead of using typed resources clients should use content-type negotiation to exchange data. Here, media-type formats that are generic enough to gain widespread adoption are for sure beneficial, certain domains may however require a more specific representation format.
Think of a car-vendor Web page where you can retrieve the data from your preferred car. You, as a human, can easily identify that the data depicts a typical car. However, the media-type you most likely received the data in (HTML) does not state by its syntax or the semantics of its elements that the data describes a car, unless some semantic annotation attributes or elements are present, though you might be able to update the data or use the data elsewhere.
This is possible as HTML ships with a rich specification of its elements and attributes, such as Web forms that not only describe the supported or expected input parameters but also the URI where to send the data to, the representation format to use upon sending (implicitly given by application/x-www-form-urlencoded; may be overwritten by the enctype attribute though) or the HTTP method to use, which is fixed to either GET or POST in HTML. Through this, a server is able to teach a client on how a request needs to be built. As a consequence the client does not need to know anything else besides having to understand the HTTP, URI and HTML specifications.
As Web pages are usually filled with all kinds of unrelated stuff, such as adds, styling information or scripts, and the XML(-like) syntax, which is not every ones favourite, as it may increase the size of the actual payload slightly, most so-called "REST" APIs do want to exchange JSON-based documents. While plain JSON is not an ideal representation format, as it does not ship with link-support at all, it is though very popular. Certain additions such as JSON Hyper-Schema (application/schema+json hyper-schema) or JSON Hypertext Application-Language (HAL) (application/hal+json) add support for links and link-relation. These can be used to render data received from the server as-is. However, if you want a response to automatically drive your application state (i.e. to dynamically draw the GUI with the processed data) a more specific representation format is needed, that can be parsed by your client and act accordingly as it understands what the server wants it to do with it (= affordance). If you like to instruct a client on how to build a request support for other media-types such as hal-forms or ion need to be supported. Certain media-types furthermore allow you to use a concept called profiles, that allow you to annotate a resource with a semantic type. HAL JSON i.e. does support something like that where the Content-Type header may now contain a value such as application/hal+json;profile=http://schema.org/Car that hints the media-type processor that the payload follows the definition of the given profile and may thus apply further validity checks.
As the representation format should be generic enough to gain widespread usage, and URIs itself shouldn't hint a client as well what kind of data to expect, an other mechanism needs to be used. Link relation names are basically an annotation for URIs that tell a client about the purpose of a certain link. A pageable collection might return links annotated with first, prev, next and last which are pretty obvious what they do. Other links might be hinted with prefetch, that hint a client that a resource can be loaded right after loading the current resource finished as it is very likely that the client will retrieve this resource next. Such media-types, however, should be either standardized (defined in a proposal or RFC and registerd with IANA) or follow the schema proposed by Web linking, (i.e. as used by Dublin Core). A client that just uses the URI for an invoked link-relation name will still work in case the server changes its URI scheme instead of attempting to parse some parameters from the URI itself.
In regards to de/coupling in a distributed system a certain amount of coupling has to exist otherwise parties wont be able to communicate at all. Though the point here is, the coupling should be based on well-defined and standardized formats that plenty of clients may support instead of exchanging specific representation formats only a very limited number of clients support (in worst case only the own client). Instead of directly coupling to the API and using an undefined JSON-based syntax (maybe with external documentation of the semantics of the respective fields) the coupling should now occur on the media-types parties can use to exchange the format. Here, not the question of which media-type to support should be asked but how many you want to support. The more media-types your client or server supports, the more likely it is to interact with other peers in the distributed system. On the grand-scheme of things, you want a server to be able to server a plethora of clients while a single client should be able to interact with (in best case) every server without the need for constant adoptions.
So, if you really want to decouple clients from servers, you should take a closer look at how the Web actually works and try to mimic its interaction model onto your application layer. As "Uncle Bob" Robert C. Martin mentioned
An architecture is about intent! (Source)
and the intention behind the REST architecture is the decoupling of clients from servers/services. As such, supporting multiple media-types (or defining your own-one that is generic enough to reach widespread adoption), looking up URIs just via their accompanying link-relation names and relying on content-type negotiation as well as relying only on the provided data may help you to achieve the degree of decoupling you are looking for.
All nice and well in theory, but so far every rest api I encountered in my career had predefined contracts that changed over time.
The problem here is, that almost all of those so called "REST APIs" are RPC services at its heart which should not be termed "REST" to start with - this is though a community issue. Usually such APIs ship with external documentation (i.e. Swagger) that just re-introduce the same problems classical RPC solutions, such as CORBA, RMI or SOAP, suffer from. The documentation may be seen as IDL in that process without the strict need for skeleton classes, though most "frameworks" use some kind of typed data classes that will either ignore the recently introduced field (in best case) or totally blow up on invocation.
One of the problems REST suffers from is, that most people haven't read Fieldings thesis and therefore don't see the big picture REST tries to establish but claim to know what REST is and therefore mix up things and call their services RESTful which lead to a situation where REST != REST. The ones pointing out what a REST architecture is and how one might achieve it are called out as dreamers and unworldly when the ones proclaiming the wrong term (RPC over HTTP = REST) continue to do so adding to the confusion of especially the ones just learning the whole matter.
I admit that developing a true REST architecture is really, really hard as it is just too easy to introduce some form of coupling. Hence, a very careful design needs to be done that needs time and also costs money. Money plenty of companies can't or don't want to spend, especially in a domain where new technologies evolve on a regular basis and the ones responsible for developing such solutions often leave the company before the whole process had finished.
Just saying it shouldn’t be ‘typed’ is not really a viable solution
Well, how often did you need to change your browser as it couldn't interact with a Web page? I don't talk about CSS-stuff or browser-specific CSS or JS stuff. How often needed the Web to change in the last 2-3 decades? Similar to the Web, the REST architecture is intended for long-lasting applications for years to come, that supports natural evolution by design. For simple frontend-2-backend systems it is for sure overkill. It starts to shine especially in cases where there are multiple peers not under your control you can interact with.
I want to make an API using REST which interacts (stores) data in a database.
While I was reading some design patterns and I came across remote facade, and the book I was reading mentions that the role of this facade is to translate the course grained methods from the remote calls into fine grained local calls, and that it should not have any extra logic. As an explaination, it says that the program should still work without this facade.
Here's an example
Yet I have two questions:
Considering I also have a database, does it make sense to split the general call into specific calls for each attribute? Doesn't it make more sense to just have a general "get data" method that runs one query against the database and converts it into an usable object, to reduce the number of database calls? So instead of splitting the get address to get street, get city, get zip, make on db call for all that info.
With all this in mind, and, in my case using golang, how should the project be structured in terms of files and functions?
I will have the main file with all the endpoints from the REST API, calling the controllers that handle these requests.
I will have a set of files that define those controllers. Are these controllers the remote facade? Should those methods not have logic in that case, and just call the equivalent local methods?
Should the local methods call the database directly, or should they use some sort of helper class that accesses the database?
Assuming all questions are positive, does the following structure make sense?
Main
Controllers
Domain
Database helper
First and foremost, as Mike Amundsen has stated
Your data model is not your object model is not your resource model is not your affordance model
Jim Webber did say something very similar, that by implementing a REST architecture you have an integration model, in the form of the Web, which is governed by HTTP and the other being the domain model. Resources adept and project your domain model to the world, though there is no 1:1 mapping between the data in your database and the representations you send out. A typical REST system does have many more resources than you have DB entries in your domain model.
With that being said, it is hard to give concrete advice on how you should structure your project, especially in terms of a certain framework you want to use. In regards to Robert "Uncle Bob" C. Martin on looking at the code structure, it should tell you something about the intent of the application and not about the framework¹ you use. According to him Architecture is about intent. Though what you usually see is the default-structure imposed by a framework such as Maven, Ruby on Rails, ... For golang you should probably read through certain documentation or blogs which might or might not give you some ideas.
In terms of accessing the database you might either try to follow a micro-service architecture where each service maintains their own database or you attempt something like a distributed monolith that acts as one cohesive system and shares the database among all its parts. In case you scale to the broad and a couple of parallel services consume data, i.e. in case of a message broker, you might need a distributed lock and/or queue to guarantee that the data is not consumed by multiple instances at the same time.
What you should do, however, is design your data layer in a way that it does scale well. What many developers often forget or underestimate is the benefit they can gain from caching. Links are basically used on the Web to reference from one resource to an other and giving the relation some semantic context by the utilization of well-defined link-relation names. Link relations also allow a server to control its own namespace and change URIs as needed. But URIs are not only pointers to a resource a client can invoke but also keys for a cache. Caching can take place on multiple locations. On the server side to avoid costly calculations or look ups on the client side to avoid sending requests out in general or on intermediary hops which allow to take away pressure from heavily requested servers. Fielding made caching even a constraint that needs to be respected.
In regards to what attributes you should create queries for is totally dependent on the use case you attempt to depict. In case of the address example given it does make sense to return the address information all at once as the street or zip code is rarely queried on its own. If the address is part of some user or employee data it is more vague whether to return that information as part of the user or employee data or just as a link that should be queried on its own as part of a further request. What you return may also depend on the capabilities of the media-type client and your service agree upon (content-type negotiation).
If you implement something like a grouping for i.e. some football players and certain categories they belong to, such as their teams and whether they are offense or defense players, you might have a Team A resource that includes all of the players as embedded data. Within the DB you could have either an own table for teams and references to the respective player or the team could just be a column in the player table. We don't know and a client usually doesn't bother as well. From a design perspective you should however be aware of the benefits and consequences of including all the players at the same time in regards to providing links to the respective player or using a mixed approach of presenting some base data and a link to learn further details.
The latter approach is probably the most sensible way as this gives a client enough information to determine whether more detailed data is needed or not. If needed a simple GET request to the provided URI is enough, which might be served by a cache and thus never reach the actual server at all. The first approach has for sure the disadvantage that it doesn't reuse caching optimally and may return way more data then actually needed. The approach to include links only may not provide enough information forcing the client to perform a follow-up request to learn data about the team member. But as mentioned before, you as the service designer decide which URIs or queries are returned to the client and thus can design your system and data model accordingly.
In general what you do in a REST architecture is providing a client with choices. It is good practice to design the overall interaction flow as a state machine which is traversed through receiving requests and returning responses. As REST uses the same interaction model as the Web, it probably feels more natural to design the whole system as if you'd implement it for the Web and then apply the design to your REST system.
Whether controllers should contain business logic or not is primarily an opinionated question. As Jim Webber correctly stated, HTTP, which is the de-facto transport layer of REST, is an
application protocol whose application domain is the transfer of documents over a network. That is what HTTP does. It moves documents around. ... HTTP is an application protocol, but it is NOT YOUR application protocol.
He further points out that you have to narrow HTTP into a domain application protocol and trigger business activities as a side-effect of moving documents around the network. So, it's the side-effect of moving documents over the network that triggers your business logic. There is no straight rule whether to include business logic in your controller or not, but usually you try to keep the business logic in yet their own layer, i.e. as a service that you just invoke from within the controller. That allows to test the business logic without the need of the controller and thus without the need of a real HTTP request.
While this answer can't provide more detailed information, partly due to the broad nature of the question itself, I hope I could shed some light in what areas you should put in some thoughts and that your data model is not necessarily your resource or affordance model.
As I know in rest we need to save each model in separate request. What if I have 3-4 levels of nested models and would like to save it all in one request, whats the best practice? (Rails, PHP, Node.js)
REST doesn't really talk about models, it talks about resources.
It's fine in REST services for 'some data' (your model) to be represented by multiple resources.
So if you define a new resource that combines all these models into a single larger model, then it would also be acceptable for you to submit a PUT request there and update everything in 1 request, atomically.
One thing to look out for though is caching. If you heavily rely on caching, updating the big resource does not automatically invalidate all the sub-resources in the cache. As far as I know, there's no standard way yet to tell a client that other resources should be expelled from the cache. There's a 2011 draft, but it seems abandoned:
https://datatracker.ietf.org/doc/html/draft-nottingham-linked-cache-inv-04
Apparently, REST is just a set of conventions about how to use HTTP. I wonder which advantage these conventions provide. Does anyone know?
I don't think you will get a good answer to this, partly because nobody really agrees on what REST is. The wikipedia page is heavy on buzzwords and light on explanation. The discussion page is worth a skim just to see how much people disagree on this. As far as I can tell however, REST means this:
Instead of having randomly named setter and getter URLs and using GET for all the getters and POST for all the setters, we try to have the URLs identify resources, and then use the HTTP actions GET, POST, PUT and DELETE to do stuff to them. So instead of
GET /get_article?id=1
POST /delete_article id=1
You would do
GET /articles/1/
DELETE /articles/1/
And then POST and PUT correspond to "create" and "update" operations (but nobody agrees which way round).
I think the caching arguments are wrong, because query strings are generally cached, and besides you don't really need to use them. For example django makes something like this very easy, and I wouldn't say it was REST:
GET /get_article/1/
POST /delete_article/ id=1
Or even just include the verb in the URL:
GET /read/article/1/
POST /delete/article/1/
POST /update/article/1/
POST /create/article/
In that case GET means something without side-effects, and POST means something that changes data on the server. I think this is perhaps a bit clearer and easier, especially as you can avoid the whole PUT-vs-POST thing. Plus you can add more verbs if you want to, so you aren't artificially bound to what HTTP offers. For example:
POST /hide/article/1/
POST /show/article/1/
(Or whatever, it's hard to think of examples until they happen!)
So in conclusion, there are only two advantages I can see:
Your web API may be cleaner and easier to understand / discover.
When synchronising data with a website, it is probably easier to use REST because you can just say synchronize("/articles/1/") or whatever. This depends heavily on your code.
However I think there are some pretty big disadvantages:
Not all actions easily map to CRUD (create, read/retrieve, update, delete). You may not even be dealing with object type resources.
It's extra effort for dubious benefits.
Confusion as to which way round PUT and POST are. In English they mean similar things ("I'm going to put/post a notice on the wall.").
So in conclusion I would say: unless you really want to go to the extra effort, or if your service maps really well to CRUD operations, save REST for the second version of your API.
I just came across another problem with REST: It's not easy to do more than one thing in one request or specify which parts of a compound object you want to get. This is especially important on mobile where round-trip-time can be significant and connections are unreliable. For example, suppose you are getting posts on a facebook timeline. The "pure" REST way would be something like
GET /timeline_posts // Returns a list of post IDs.
GET /timeline_posts/1/ // Returns a list of message IDs in the post.
GET /timeline_posts/2/
GET /timeline_posts/3/
GET /message/10/
GET /message/11/
....
Which is kind of ridiculous. Facebook's API is pretty great IMO, so let's see what they do:
By default, most object properties are returned when you make a query.
You can choose the fields (or connections) you want returned with the
"fields" query parameter. For example, this URL will only return the
id, name, and picture of Ben:
https://graph.facebook.com/bgolub?fields=id,name,picture
I have no idea how you'd do something like that with REST, and if you did whether it would still count as REST. I would certainly ignore anyone who tries to tell you that you shouldn't do that though (especially if the reason is "because it isn't REST")!
Simply put, REST means using HTTP the way it's meant to be.
Have a look at Roy Fielding's dissertation about REST. I think that every person that is doing web development should read it.
As a note, Roy Fielding is one of the key drivers behind the HTTP protocol, as well.
To name some of the advandages:
Simple.
You can make good use of HTTP cache and proxy server to help you handle high load.
It helps you organize even a very complex application into simple resources.
It makes it easy for new clients to use your application, even if you haven't designed it specifically for them (probably, because they weren't around when you created your app).
Simply put: NONE.
Feel free to downvote, but I still think there are no real benefits over non-REST HTTP. All current answers are invalid. Arguments from the currently most voted answer:
Simple.
You can make good use of HTTP cache and proxy server to help you handle high load.
It helps you organize even a very complex application into simple resources.
It makes it easy for new clients to use your application, even if you haven't designed it specifically for them (probably, because they weren't around when you created your app).
1. Simple
With REST you need additional communication layer for your server-side and client-side scripts => it's actually more complicated than use of non-REST HTTP.
2. Caching
Caching can be controlled by HTTP headers sent by server. REST does not add any features missing in non-REST.
3. Organization
REST does not help you organize things. It forces you to use API supported by server-side library you are using. You can organize your application the same way (or better) when you are using non-REST approach. E.g. see Model-View-Controller or MVC routing.
4. Easy to use/implement
Not true at all. It all depends on how well you organize and document your application. REST will not magically make your application better.
IMHO the biggest advantage that REST enables is that of reducing client/server coupling. It is much easier to evolve a REST interface over time without breaking existing clients.
Discoverability
Each resource has references to other resources, either in hierarchy or links, so it's easy to browse around. This is an advantage to the human developing the client, saving he/she from constantly consulting the docs, and offering suggestions. It also means the server can change resource names unilaterally (as long as the client software doesn't hardcode the URLs).
Compatibility with other tools
You can CURL your way into any part of the API or use the web browser to navigate resources. Makes debugging and testing integration much easier.
Standardized Verb Names
Allows you to specify actions without having to hunt the correct wording. Imagine if OOP getters and setters weren't standardized, and some people used retrieve and define instead. You would have to memorize the correct verb for each individual access point. Knowing there's only a handful of verbs available counters that problem.
Standardized Status
If you GET a resource that doesn't exist, you can be sure to get a 404 error in a RESTful API. Contrast it with a non-RESTful API, which may return {error: "Not found"} wrapped in God knows how many layers. If you need the extra space to write a message to the developer on the other side, you can always use the body of the response.
Example
Imagine two APIs with the same functionality, one following REST and the other not. Now imagine the following clients for those APIs:
RESTful:
GET /products/1052/reviews
POST /products/1052/reviews "5 stars"
DELETE /products/1052/reviews/10
GET /products/1052/reviews/10
HTTP:
GET /reviews?product_id=1052
POST /post_review?product_id=1052 "5 stars"
POST /remove_review?product_id=1052&review_id=10
GET /reviews?product_id=1052&review=10
Now think of the following questions:
If the first call of each client worked, how sure can you be the rest will work too?
There was a major update to the API that may or may not have changed those access points. How much of the docs will you have to re-read?
Can you predict the return of the last query?
You have to edit the review posted (before deleting it). Can you do so without checking the docs?
I recommend taking a look at Ryan Tomayko's How I Explained REST to My Wife
Third party edit
Excerpt from the waybackmaschine link:
How about an example. You’re a teacher and want to manage students:
what classes they’re in,
what grades they’re getting,
emergency contacts,
information about the books you teach out of, etc.
If the systems are web-based, then there’s probably a URL for each of the nouns involved here: student, teacher, class, book, room, etc. ... If there were a machine readable representation for each URL, then it would be trivial to latch new tools onto the system because all of that information would be consumable in a standard way. ... you could build a country-wide system that was able to talk to each of the individual school systems to collect testing scores.
Each of the systems would get information from each other using a simple HTTP GET. If one system needs to add something to another system, it would use an HTTP POST. If a system wants to update something in another system, it uses an HTTP PUT. The only thing left to figure out is what the data should look like.
I would suggest everybody, who is looking for an answer to this question, go through this "slideshow".
I couldn't understand what REST is and why it is so cool, its pros and cons, differences from SOAP - but this slideshow was so brilliant and easy to understand, so it is much more clear to me now, than before.
Caching.
There are other more in depth benefits of REST which revolve around evolve-ability via loose coupling and hypertext, but caching mechanisms are the main reason you should care about RESTful HTTP.
It's written down in the Fielding dissertation. But if you don't want to read a lot:
increased scalability (due to stateless, cache and layered system constraints)
decoupled client and server (due to stateless and uniform interface constraints)
reusable clients (client can use general REST browsers and RDF semantics to decide which link to follow and how to display the results)
non breaking clients (clients break only by application specific semantics changes, because they use the semantics instead of some API specific knowledge)
Give every “resource” an ID
Link things together
Use standard methods
Resources with multiple representations
Communicate statelessly
It is possible to do everything just with POST and GET? Yes, is it the best approach? No, why? because we have standards methods. If you think again, it would be possible to do everything using just GET.. so why should we even bother do use POST? Because of the standards!
For example, today thinking about a MVC model, you can limit your application to respond just to specific kinds of verbs like POST, GET, PUT and DELETE. Even if under the hood everything is emulated to POST and GET, don't make sense to have different verbs for different actions?
Discovery is far easier in REST. We have WADL documents (similar to WSDL in traditional webservices) that will help you to advertise your service to the world. You can use UDDI discoveries as well. With traditional HTTP POST and GET people may not know your message request and response schemas to call you.
One advantage is that, we can non-sequentially process XML documents and unmarshal XML data from different sources like InputStream object, a URL, a DOM node...
#Timmmm, about your edit :
GET /timeline_posts // could return the N first posts, with links to fetch the next/previous N posts
This would dramatically reduce the number of calls
And nothing prevents you from designing a server that accepts HTTP parameters to denote the field values your clients may want...
But this is a detail.
Much more important is the fact that you did not mention huge advantages of the REST architectural style (much better scalability, due to server statelessness; much better availability, due to server statelessness also; much better use of the standard services, such as caching for instance, when using a REST architectural style; much lower coupling between client and server, due to the use of a uniform interface; etc. etc.)
As for your remark
"Not all actions easily map to CRUD (create, read/retrieve, update,
delete)."
: an RDBMS uses a CRUD approach, too (SELECT/INSERT/DELETE/UPDATE), and there is always a way to represent and act upon a data model.
Regarding your sentence
"You may not even be dealing with object type resources"
: a RESTful design is, by essence, a simple design - but this does NOT mean that designing it is simple. Do you see the difference ? You'll have to think a lot about the concepts your application will represent and handle, what must be done by it, if you prefer, in order to represent this by means of resources. But if you do so, you will end up with a more simple and efficient design.
Query-strings can be ignored by search engines.