I'm creating a RESTful WebAPI for our system in .Net, when conducting a search in my client I presume that it should hit the /person route passing parameters when required to filter the data. However, the person object that is return has quite a lot of nested objects which could slow down data retrieval. Should I have a separate controller which returns a more skeletonised view of a person, should I continue the way I am going, or should I be making subsequent requests to break down the person?
Actually, there is no silver-bullet way to solve your problem, but there are several approaches, which could be usefull for you. However, in my opinion, your idea about optimizing the size of resource representation in search results is correct.
You can include the list of requested fields in filtering query. (for example, see the similar signature/approach in ES search API). Many search engines are following this approach to reduce redundant response payload.
As you have metioned, you can break your heavy object in sub-resources, so that you would be able to include only links to nested objects inside the person, without including the whole represantations of inner-objects. The HATEOAS approach will fit perfectly for this purpose, but it will add extra complexity to your application (but the extra flexibility too).
However, you have to choose, which approach is better for your particular application, but I think, that a good starting point will be the approach with list of requested fields.
Related
I am developing REST API and Frontend as a microservice. I know some basic principles of URL design, but there is a performance issue and I'm not sure how to deal with it.
For the convenience of displaying the webpage, I'd like to get certain information about more than 100 resources per page. (Actually, BFF exists as an orchestration layer)
Since the target resource includes the aggregation result from a large amount of database record, it takes about 3 seconds per request. However, the information I want on the webpage is only a part of it, and it doesn't require complex aggregation to get it, and that makes the response time much shorter.
Take a case as an example.
There is a resource of article, and return the resource data in articles/:id containing a complex aggregation. But in this case, all I need is a count of comments, which can be quickly obtained by issuing a SQL count statement without a counter cache.
However, when examining REST API design, I've never seen a case where a GET request that returns only a specific field.
And in microservices, API should only return resource state in loosely coupled situation, so I think it shouldn't be focused on specific fields.
What kind of URL design or performance optimization can be considered in the face of performance problems?
REST is the architectural style of the world wide web; the style and the web were developed in parallel in the 1990s. Given the usage patterns and technical constraints of the time, the attention of the style is focused more on the caching of large grained documents, rather than trying to reduce the latency of transport.
So you would be more likely to design your representation so that count is present somewhere in the representation, and addressable to that you can call attention to it. Thus: fragments.
So if you already had a resource with the identifier /articles, and having the comment count was important enough, then you might treat the representation like a DTO (Data Transfer Object), and simply include the comment count in the representation, accessible via some identifier like /articles#comment-count.
That's not necessarily a great fit for your use case.
An alternative is to just introduce a stand-alone comment count resource.
Any information that can be named can be a resource -- Fielding, 2000
If you are actually doing REST, then the spelling of the URI don't matter (consider - when is the last time you cared where the google search form actually submitted your query?). The identifiers are used as identifiers, general purpose clients don't try to extract semantics from the identifiers.
So using /d8a496c4-51c5-4eeb-8cbd-d5e777cbdee7 as your identifier for the comment-count should "just work".
It's not particularly friendly to the human reader, of course, so you might prefer something else. URI design is, in this sense, a lot like choosing a good variable name -- the machines don't care, so me make choices that are easier for the human beings to manage. That normally means choosing a spelling that is "consistent" with the other spellings in your API.
RFC 3986 introduces distinctions between the path, the query, and the fragment, that you can expect general-purpose components to understand; one of the potentially important distinctions is that reference resolution describes how a general purpose component can compute a new identifier from a base uri and a relative reference.
/articles/comment-count + ./1 -> /articles/1
This is a relatively subjective question, but I want to get other people's opinion nonetheless
I am designing a REST Api that will be accessed by internal systems (a couple of clients apps at most).
In general the API needs to update parameters of different car brands. Each car brand has around 20 properties, some of which are shared between all car brands, and some specific for each brand.
I am wondering what is a better approach to the design for the endpoints of this API.
Whether I should use a single endpoint, that takes in a string - that is a JSON of all the properties of the car brand, along with an ID of the car brand.
Or should I provide a separate endpoint per car brand, that has a body with the exact properties necessary for that car brand.
So in the first approach I have a single endpoint that has a string parameter that I expect to be a JSON with all necessary values
PUT /api/v1/carBrands/
Whereas in the second approach in the second scenario I have an endpoint per type of car brand, and each endpoint has a typed dto object representing all the values it needs.
PUT /api/v1/carBrand/1
PUT /api/v1/carBrand/2
.
.
.
PUT /api/v1/carBrand/n
The first approach seems to save a lot of repetitive code - afterall the only difference is the set of parameters. However, since this accepts an arbitrary string, there is no way for the enduser to know what he should pass - he will need someone to tell it to him and/or read from documentation.
The second approach is a lot more readable, and any one can fill in the data, since they know what it is. But it involves mostly replicating the same code around 20 times.
Its really hard for me to pick an option, since both approaches have their drawbacks. How should I judge whats the better option
I am wondering what is a better approach to the design for the endpoints of this API.
Based on your examples, it looks as though you are asking about resource design, and in particular whether you should use one large resource, or a family of smaller ones.
REST doesn't answer that question... not directly, anyway. What REST does do is identify that caching granularity is at the resource level. If there are two pieces of information, and you want the invalidation of one to also invalidate the other, then those pieces of information should be part of the same resource, which is to say they should be accessed using the same URI.
If that's not what you want, then you should probably be leaning toward using separated resources.
I wouldn't necessarily expect that making edits to Ford should force the invalidation of my local copy of Ferrari, so that suggests that I may want to treat them as two different resources, rather than two sub-resources.
Compare
/api/v1/carBrands#Ford
/api/v1/carBrands#Ferrari
with
/api/v1/carBrands/Ford
/api/v1/carBrands/Ferrari
In the former case, I've got one resource in my cache (/api/v1/carBrands); any changes I make to it invalidate the entire resource. In the latter case, I've got two resources cached; changing one ignores the other.
It's not wrong to use one or the other; both are fine, and have plenty of history. They make different trade offs, one or the other may be a better fit for the problem you are trying to solve today.
My team and I we are refactoring a REST-API and I have come to a question.
For terms of brevity, let us assume that we have an SQL database with 4 tables: Teachers, Students, Courses and Classrooms.
Right now all the relations between the items are represented in the REST-API through referencing the URL of the related item. For example for a course we could have the following
{ "id":"Course1", "teacher": "http://server.com/teacher1", ... }
In addition, if ask a list of courses thought a call GET call to /courses, I get a list of references as shown below:
{
... //pagination details
"items": [
{"href": "http://server1.com/course1"},
{"href": "http://server1.com/course2"}...
]
}
All this is nice and clean but if I want a list of all the courses titles with the teachers' names and I have 2000 courses and 500 teachers I have to do the following:
Approximately 2500 queries just to read the data.
Implement the join between the teachers and courses
Optimize with caching etc, so that I will do it as fast as possible.
My problem is that this method creates a lot of network traffic with thousands of REST-API calls and that I have to re-implement the natural join that the database would do way more efficiently.
Colleagues say that this is approach is the standard way of implementing a REST-API but then a relatively simple query becomes a big hassle.
My question therefore is:
1. Is it wrong if we we nest the teacher information in the courses.
2. Should the listing of items e.g. GET /courses return a list of references or a list of items?
Edit: After some research I would say the model I have in mind corresponds mainly to the one shown in jsonapi.org. Is this a good approach?
My problem is that this method creates a lot of network traffic with thousands of REST-API calls and that I have to re-implement the natural join that the database would do way more efficiently. Colleagues say that this is approach is the standard way of implementing a REST-API but then a relatively simple query becomes a big hassle.
Your colleagues have lost the plot.
Here's your heuristic - how would you support this use case on a web site?
You would probably do it by defining a new web page, that produces the report you need. You'd run the query, you the result set to generate a bunch of HTML, and ta-da! The client has the information that they need in a standardized representation.
A REST-API is the same thing, with more emphasis on machine readability. Create a new document, with a schema so that your clients can understand the semantics of the document you return to them, tell the clients how to find the target uri for the document, and voila.
Creating new resources to handle new use cases is the normal approach to REST.
Yes, I totally think you should design something similar to jsonapi.org. As a rule of thumb, I would say "prefer a solution that requires less network calls". It's especially true if amount of network calls will be less by order of magnitude.
Of course it doesn't eliminate the need to limit the request/response size if it becomes unreasonable.
Real life solutions must have a proper balance. Clean API is nice as long as it works.
So in your case I would so something like:
GET /courses?include=teachers
Or
GET /courses?includeTeacher=true
Or
GET /courses?includeTeacher=brief|full
In the last one the response can have only the teacher's id for brief and full teacher details for full.
My problem is that this method creates a lot of network traffic with thousands of REST-API calls and that I have to re-implement the natural join that the database would do way more efficiently. Colleagues say that this is approach is the standard way of implementing a REST-API but then a relatively simple query becomes a big hassle.
Have you actually measured the overhead generated by each request? If not, how do you know that the overhead will be too intense? From an object-oriented programmers perspective it may sound bad to perform each call on their own, your design, however, lacks one important asset which helped the Web to grew to its current size: caching.
Caching can occur on multiple levels. You can do it on the API level or the client might do something or an intermediary server might do it. Fielding even mad it a constraint of REST! So, if you want to comply to the REST architecture philosophy you should also support caching of responses. Caching helps to reduce the number of requests having to be calculated or even processed by a single server. With the help of stateless communication you might even introduce a multitude of servers that all perform calculations for billions of requests that act as one cohesive system to the client. An intermediary cache may further help to reduce the number of requests that actually reach the server significantly.
A URI as a whole (including any path, matrix or query parameters) is actually a key for a cache. Upon receiving a GET request, i.e., an application checks whether its current cache already contains a stored response for that URI and returns the stored response on behalf of the server directly to the client if the stored data is "fresh enough". If the stored data already exceeded the freshness threshold it will throw away the stored data and route the request to the next hop in line (might be the actual server, might be a further intermediary).
Spotting resources that are ideal for caching might not be easy at times, though the majority of data doesn't change that quickly to completely neglect caching at all. Thus, it should be, at least, of general interest to introduce caching, especially the more traffic your API produces.
While certain media-types such as HAL JSON, jsonapi, ... allow you to embed content gathered from related resources into the response, embedding content has some potential drawbacks such as:
Utilization of the cache might be low due to mixing data that changes quickly with data that is more static
Server might calculate data the client wont need
One server calculates the whole response
If related resources are only linked to instead of directly embedded, a client for sure has to fire off a further request to obtain that data, though it actually is more likely to get (partly) served by a cache which, as mentioned a couple times now throughout the post, reduces the workload on the server. Besides that, a positive side effect could be that you gain more insights into what the clients are actually interested in (if an intermediary cache is run by you i.e.).
Is it wrong if we we nest the teacher information in the courses.
It is not wrong, but it might not be ideal as explained above
Should the listing of items e.g. GET /courses return a list of references or a list of items?
It depends. There is no right or wrong.
As REST is just a generalization of the interaction model used in the Web, basically the same concepts apply to REST as well. Depending on the size of the "item" it might be beneficial to return a short summary of the items content and add a link to the item. Similar things are done in the Web as well. For a list of students enrolled in a course this might be the name and its matriculation number and the link further details of that student could be asked for accompanied by a link-relation name that give the actual link some semantical context which a client can use to decide whether invoking such URI makes sense or not.
Such link-relation names are either standardized by IANA, common approaches such as Dublin Core or schema.org or custom extensions as defined in RFC 8288 (Web Linking). For the above mentioned list of students enrolled in a course you could i.e. make use of the about relation name to hint a client that further information on the current item can be found by following the link. If you want to enable pagination the usage of first, next, prev and last can and probably should be used as well and so forth.
This is actually what HATEOAS is all about. Linking data together and giving them meaningful relation names to span a kind of semantic net between resources. By simply embedding things into a response such semantic graphs might be harder to build and maintain.
In the end it basically boils down to implementation choice whether you want to embed or reference resources. I hope, I could shed some light on the usefulness of caching and the benefits it could yield, especially on large-scale systems, as well as on the benefit of providing link-relation names for URIs, that enhance the semantical context of relations used within your API.
I need some advice on how to best structure the requests and the responses for my Rest API.
I'm mostly trying to limit myself to CRUD operations on one resources and I work with one object: for example if the ressource is "book" I end up with the following actions in the controller
[HttpPost("books")] Book Create(Book book)
[HttpGet("books")] Book Get(int id)
This is relatively strait forward.
Now for a more complex example for the creation of a resource, I need to receive a complexe object different from my ressource and return an object containing the resource and extra data
For example for the Order resource I have a the following action in the controller:
[HttpPost("/order")] CreateOrderResponse CreateOrder(CreateOrderRequest createOrderRequest)
Here my action will use the "CreateOrderRequest" object to create to build an Order.
Then I would like to return a "createOrderResponse" object which contains the Order but also extra information that the client needs.
I'm not sure this is the best way to go, any advice ?
Thanks in advance for your help
I prefer the following:
[HttpPost("/order")] CreateOrderResponse CreateOrder(CreateOrderRequest createOrderRequest)
And here is why:
By this method, you are able to protect your public API from implementation details. If you expose your model to your API then you cannot make the same guarantee.
You can also make your validations specific to the request format. In some cases, you might require one subset of your model when creating a record and another subset when editing data. This approach will allow you to handle that scenario as well.
Security. Were you going to add that Book right to a DbContext and save it? Or attach it and update directly? Those would be potential issues from security and data quality perspectives.
But there are downsides:
This approach is time consuming. It may not be worth the time invested if you are writing something as a learning exercise or a quick implementation. And it adds complexity. But then, you might find complexity when you realize your Book object is insufficent in all cases.
You will feel like there is duplicate code in different places. The code may appear to be the same, but the use cases are actually different and may diverge over time. Having a Book parameter will be a liability at that point.
Some say it's "often not desirable" for a REST server to allow the DELETEion of the entire collection of entities.
DELETE http://www.example.com/customers
Is this a real rule for achieving RESTful nirvana?
And what about sub-collections, defined by query parameters?
DELETE http://www.example.com/customers?gender=m
The answer to this depends more on the requirements and risks of your application than on the inherent RESTfulness of either construct.
It's "not often desirable" to delete an entire collection if you imagine the collection as something with enduring importance like a customer list. It doesn't break with some essential REST wisdom.
If the collection contains information that a user should be able to delete, and potentially a lot of such information, DELETE of the entire collection can be the nicest REST-ish way to go, rather than run a lot of individual DELETEs.
Deleting based on criteria (e.g. the query parameter) is so essential to some applications that if the REST police declared it Officially UnRESTful I would continue to do it without shame.
(They actually say "not often desirable," which one might interpret slightly differently than "often not desirable.")
Yes, it's RESTful. If you have a valid use case, it's fine to do it. Your second scenario (deleting with a query) is frequently useful, and can be an easy way to reduce the number of HTTP requests the client has to make.
Edit: as #peeskillet says, do consider if you actually want to delete something, versus change some flag on the record (e.g. "active").