![]() ![]() However, it isn’t always a “replacement”, and making the decision to opt for GraphQL comes with several considerations. GraphQL is gaining momentum as a successor to REST APIs. You can combine different entities in one query and you are able to specific which attributes should be included in the response on every level, e.g.Note: This article is mostly server-side related. This means that you can tailor the request (query) to your exact needs by using the GraphQL query language and describing what you would like to get as an answer. Instead everything is regarded as a graph and therefore is connected. The main and most important difference is that GraphQL is not dealing with dedicated resources. GraphQL - A Different ApproachĪs REST, GraphQL is an API design architecture, but with a different approach which is much flexible. Two server round trips are needed to retrieve the post and the corresponding author information from the REST endpoints. ExampleĪ REST API which you can use for testing purposes is available at : There is no way to limit the response to only contain a subset of data like title and user. You’ll always get back the complete set of data. Each post might comprise the following properties: id, title, user, and body. By using endpoint /posts/:id we’re fetching data for a specific post. So what does that exactly mean? Let’s get back to the previous example. users/:id Over Fetching / Under FetchingĪnother common problem which occurs when using RESTful services is the problem of over / under fetching. ![]() First to retrieve the post object and second to retrieve the user object. Typically this is done by sending two request to the REST API (e.g. At the same time you’d like to request information of post author (which is a different entity). imagine you’d like to request information from a post entity. Accessing those data by using a REST-based API often requires us to do multiple round-trips to collect everything what is needed. Today’s web and mobile applications are often data-driven and require large sets of data combining related resources. Let’s explore some of the most significant limitations of REST today: Multiple Round Trips To Fetch Related Resources ![]() While REST was a great solution when it was first proposed, there are some pretty significant issues that the architecture suffers from right now. The core concept of REST is that everything is a resource. When HTTP is used, the most common operations available are GET, POST, PUT, and DELETE. REST-compliant web services allow the requesting systems to access and manipulate textual representations of web resources by using a uniform and predefined set of stateless operations. REST (Representational State Transfer) is an API design architecture used to implement web services. Let’s get started … REST And It’s Limitation In this tutorial you’ll learn the differences between both technologies and by using many practical examples you’ll be able to understand how GraphQL can help you to build highly flexible APIs for you applications. Indeed GraphQL is able to overcome major shortcomings of REST. GraphQL is often presented as a revolutionary new way to think about APIs. The REST-based approach is the traditional way of doing so and has gained a very high adoption rate in many application stacks in the last years. REST and GraphQL are two ways to send data over HTTP.
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