Graphql vs linq

GraphQL is an efficient and flexible query language. In this article, Julio Sampaio explains how to use GraphQL and walks you through building a simple application. GraphQL has been around for a while and is proving its value. Just like REST is a specification to access resources that partially expose the business models in client-server applications, GraphQL is a cleaner, more flexible way to execute and fetch specific data from the server.

In other words: ask for hat you need, get exactly that. Instead of having tons of different REST endpoints to provide access to every resource via a different HTTP request, you can do the same thing with only a single request, along with a smarter smaller — just what you need response body, getting summarized data from different resources. It also comes with a strong type system, encapsulated in a syntax that resembles JSON.

And it is available for all the major languages for both client and server sides. Because of its committed community, you can find many different open source clients and projects being broadly supported around the world.

graphql vs linq

Think about graphs. In theory, they are used to mathematically model the relations two objects have in common. In a common REST API, developers grab information from endpoints that represent a single and understandable source of information, a resource.

Usually, they return a lot of data, most of this not necessary for the current operation, making the whole conversation too verbose. GraphQL, on the other hand, summarizes everything the client needs at once, by allowing you to specify all the data in a query fully supported by the back-end. One single HTTP request, all the data you need in hands:. Because of its HTTP-based nature, GraphQL also benefits from all the out-of-the-box features that REST did, including the stateless state, patterns, free from tech stack and heavily embraced by the community.

Also, you can create your APIs within any supported language, just the same way you would with the clients. Most of the big platforms already support it. Another important feature that comes with GraphQL are the resolvers. They basically allow the extraction of data from different sources and integrate the data into the same response.

It is useful when you want to connect data that relates to the query objects are being fetched now, while accessing resources sometimes even via remote calls to other services. This architectural design, of course, can lead to slowness depending on the way you make each call. So, keep anchored to your original design and make data design meaningful.

For this, you will go through an example that explores a comparison between an old fashion approach REST vs. Therefore, REST is so chatty. For every new compositional data, that is related to a specific user, a new endpoint that identifies it is born, meaning that a new request must happen. Inside of each query member, you can fetch just the exact information you want.

It is contrary to REST, where each endpoint would return all the information related to a post or a social network, making the whole response heavier than what you need. To get started, create a new ASP. You can use the Visual Studio Community Edition. For this, you must have the latest version of. Right-click the solution and go to NuGet manager.

There, search for two dependencies:.GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools. Check that ultimate list of most advanced GraphQL Interview Questions you have to be prepared to answer on your full-stack or experienced web developer interview.

Answer: No. GraphQL is often confused with being a database technology. Answer: GraphQL is a query language created by Facebook in which provides a common interface between the client and the server for data fetching and manipulations.

The client asks for various data from the GraphQL server via queries. The structure of the data is not hardcoded as in traditional REST APIs - this makes retrieving data from the server more efficient for the client. If the request fails or partially fails e. Answer: Every GraphQL server has two core parts that determine how it works: a schema and resolve functions. The schema is a model of the data that can be fetched through the GraphQL server. It defines what queries clients are allowed to make, what types of data can be fetched from the server, and what the relationships between these types are.

Answer: Authentication and authorization are often confused. Authentication describes the process of claiming an identity. Authorization on the other hand describes permission rules that specify the access rights of individual users and user groups to certain parts of the system. To implement authorization, it is recommended to delegate any data access logic to the business logic layer and not handle it directly in the GraphQL implementation. Answer: The main and most important difference between REST and GraphQL is that GraphQL is not dealing with dedicated resources, instead everything is regarded as a graph and therefore is connected and can be queried to app exact needs.

Also there are some Node.

graphql vs linq

When a GraphQL server receives a query to process it generally comes in as a String. This string must be tokenised and parsed into a representation that the machine understands.

This representation is called an abstract syntax tree. It defines the protocol used in communication between client and server.

REST vs GraphQL APIs, the Good, the Bad, the Ugly

XML is used in thousands of different applications that store, handle, and transmit data. Wherever works takes you, Dell Technologies will be there.

Check All Answers. Q2 : What is GraphQL? Q3 : How to do Error Handling? Q4 : What is GraphQL schema?By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. As one of the comments suggested i downloaded GraphQL. EntityFramework Nuget package by SimonCropp.

I guess so far I didn't understand how graphQL really worked.

graphql vs linq

I thought that there is some behind the scene fetch of data but there isn't. No optimisations are done out of the box from GraphQL doesn't matter if you return IQueryable or else of the entity you are querying.

The helpers are using resolver's context. SubFields property to get the fields needed. The problem is that you need for every level of the query only the leaves, say some query "specializations" with "SpecializationName" and "Code" and the "Doctors" with their "Name" and else. In this case in the RootQuery specializations field's resolver you need only the Specializations entity projection so: SpecializationName and Codethen when it goes to fetch all Doctors from the "doctors" Field in SpecializationType the resolver's context has different SubFields which should be used for the projection of the Doctor.

The problem with the above is, when you use query batches i guess even if you dont the thing is that the Doctors Field in SpecializationType needs the SpecializationId fetched in the RootQuery specializations Field.

Base line is as far as I understand we have to dynamically create selectors which the linq should use to project the entity. No matter what fields you want to return, make sure the columns defined in PlayerType are returned in resolve.

Learn more. Asked 1 year, 2 months ago. Active 7 months ago. Viewed 2k times.People have claimed that GraphQL allows the client to demand sorting, paging, and filtering from the server. People have claimed that GraphQL can result in execution of arbitrary queries or joins. People have claimed that GraphQL exposes too much power with not enough server-side control.

As I hope to convey through this post, these claims are false. Not long ago, I saw a tweet from someone making accusations about GraphQL. This tweet was from someone I respect and admire for their frequent display of depth and due diligence, which is why their statement surprised me.

My irritation distilled down to a single declaration. Without knowing if anyone would take notice, but ready to have the conversation should anyone engage, I posted one simple tweet. GraphQL is not OData.

At Microsoft, I used and propagated OData against my own judgment. Feel free to me.

Moving Existing API From REST To GraphQL

This combination made it pretty easy to grow forms-over-data apps into business-logic heavy applications, keeping the business logic out of the UI through a clear separation of concerns. WCF RIA Services allowed you to either expose your domain model directly to the client or create and expose a view model. But we needed a protocol for serializing requests and responses for those CRUDE operations and the data to go along with them.

We ultimately landed on using some WCF primitives. This was all good though—to use WCF was far better than our proprietary protocol developed in our early preview releases. We were promoting a separation of concerns for applications built on our framework, and we ourselves kept our concerns separated. This led to both the server and the client being decoupled from the communication protocol.

We were able to swap out that layer independently—largely because Wilco Bauwer is amazing. Wilco swapped out our proprietary protocol for WCF in days.

And we demonstrated we could support multiple protocols in parallel.GraphQL is a relatively new technology developed initially at Facebook and open-sourced to the world in Init really took off and made the leap from a cool, niche technology to one of the primary ways companies like Walmart and IBM are starting to work with their APIs and data.

GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. GraphQL isn't tied to any specific database or storage engine and is instead backed by your existing code and data. The last sentence is an important one to be mindful of when getting started with GraphQL. There's a growing number of libraries out there to help you implement the GraphQL spec in your app for a number of different languages.

One fact of life with REST is that it requires multiple roundtrips between the client and individual resource endpoints on the server to fetch all the data needed to render a view or page in our app. GraphQL solves the roundtrip problem by allowing the client to create a single query which calls several related functions or resolvers on the server to construct a response with multiple resources - in a single request.

This is a much more efficient method of data delivery requiring fewer resources than multiple roundtrips.

REST API Industry Debate: OData vs GraphQL vs ORDS

As our application grows, the number of REST endpoints we must build and maintain starts to explode. A growing number of endpoints demands more and more time and effort to test and support - on both the client and server. And if you eventually need to version your API, you've got a lot more to consider. In GraphQL, we can define Query types in our Schema to retrieve or mutate any combination of types in our system through one endpoint i.

Next, we can create a Query type in our schema to fetch any Student or Course. However, we only need to send them to one endpoint.

LINQ to Graph

This can lead to two conditions known as Overfetching and Underfetching. Overfetching simply means the client ends up retrieving more information in some circumstances than is necessary.

Consider the Student type above. In a master-detail scenario where we're displaying a list of students, we likely only need their id and name. On the flipside, when an endpoint doesn't provide all of the required data the client is forced to make additional requests to fetch everything it needs.

Let's pretend we have a requirement to display a list of students and their courses. GraphQL at its simplest is about asking for specific fields on objects. This core principle solves both the over- and underfetching problem by giving the client complete control over the data it receives. In our example, we can get the data in a shape we require on the client by submitting a query that looks something like this.

Notice how the response looks very similar to the query?Studied UMichigan. However, it also introduces a new set of challenges which need to be evaluated.

This could wreck havoc on interoperability since even removing a bit integer restriction to accepting a bit long meant breaking upstream clients. RESTful architecture was introduced in as a much simpler way to enable machine to machine communication using only the ubiquitous HTTP protocol without additional layers in a stateless and type free way.

This enabled systems to be loosely coupled and more forgiving to contract changes between systems such as between companies. Requests can be simply sent via common software like cURL and web browsers. Thus an e-commerce with a resource api. Both would probably need CRUD operations on that resource and prefer to cache queries i. As more variety of APIs are placed in production use and scaled to extreme levels, certain problems in RESTful architecture transpired.

However, what if the client wants something specific such as return the names of friends of friends of a user where their job is engineer. GraphQL can reduce this by enabling the server to aggregate the data for the client in a single query. GET vs POST semantics related to caching are well defined enabling browser caches, intermediate proxies, and server frameworks to follow. The following guidelines can be followed:.

The correct key has to be used for the cache which may include inspecting the body contents. For example, Moesif has a api. Publicly, those two endpoints simply look like two different REST resources. Internally though, they point to two different microservices on isolated compute clusters. The search service is written in Scala and the alerting service is written in NodeJS.

While a main benefit of GraphQL is to enable clients to query for just the data they need, this can also be problematic especially for open APIs where an organization cannot control 3rd party client query behavior. Such aggregation queries may be harder to model within the GraphQL language. This enables many tools to probe a URL such as api. Existing tools that expect errors will not work so you may miss errors happening on your API.

Yet at the same time, more flexibility given to the client requires even more tools to catch and understand problems with your API. What is Moesif? Moesif is the most advanced REST and GraphQL analytics platform used by Thousands of platformsto measure how your queries are performing and understand what your most loyal customers are doing with your APIs.

GraphQL APIs can be exciting new technology, but it is important to understand the tradeoffs before making such architectural decisions. Whereas applications with many different domain objects like e-commerce where you have items, users, orders, payments, and so on may be able to leverage GraphQL much more.

There are certain applications where it makes sense to model complex entities in a SQL Db. Thousands of platform companies leverage Moesif for debugging, monitoring and discovering insights.

Learn More. Updated: April 01, 1 minute read. Updated: March 25, less than 1 minute read. A slide deck on how to build a killer API program and how to track your developer funnel. Updated: March 24, 4 minute read.

This is especially true for companies that are API-first. Updated: March 16, 3 minute read. Developer Relations is a broad area covering product, advocacy, and evangelist.

What are the differences? Leave a comment.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again.

Not production ready yet. Please use SAHB. GraphQLClient instead. This library was developed in a semester project on Aalborg University by group SWF17 in spring This library is not production ready yet.

A list of some important missing features is listed here:. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Sign up. C Batchfile. Branch: develop. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit Fetching latest commit…. GraphQL-Linq Not production ready yet. It can be installed using the following command in the Package Manager Console. A list of some important missing features is listed here: No support for where Nested classes in output Updated IGraphQLQueryBuilder for example select have some issues.

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