Caching Providing Object Identifiers allows clients to build rich caches In an endpoint-based API, clients can use HTTP caching to easily avoid refetching resources, and for identifying when two resources are the same. The URL in these APIs is a globally unique identifier that the client can leverage to build a cache. In GraphQL, though, there’s no URL-like primitive that provides this globally un
In this post, I’m going to answer one simple question: How does a GraphQL server turn a query into a response? If you’re new to GraphQL, get the three minute intro in How do I GraphQL? before reading on. That way you’ll get more out of reading this post. Here’s the ground we’ll cover in this post: GraphQL queriesSchema and resolve functionsGraphQL execution — step by step Ready? Let’s jump right i
GraphQL is often explained as a “unified interface to access data from different sources”. Although this explanation is accurate, it doesn’t reveal the underlying ideas or the motivation behind GraphQL, or even why it is called “GraphQL” — you can see the stars and the night, but not quite the “The Starry Night”. The true heart of GraphQL lies in what I think of as the application data graph. In t
GraphQL is becoming the new standard for API development — learn the top reasons why in this article. After only two and a half years of existence, GraphQL has made its way to the forefront of API development. In this article, we explain why developers love GraphQL and unveil the major reasons for its rapid adoption. 1) GraphQL APIs have a strongly typed schema One of the biggest problems with mos
When reading about Relay and Apollo, you’ll notice that one major difference lies in the flexibility of the two approaches. While Relay is very opiniated and doesn’t give you a lot of freedom in how you want to structure your application, Apollo has a variety of options that range from lightweight integrations to much more sophisticated approaches. In short, Relay lends itself well for large-scale
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