Table of Contents
What is GraphQL best used for?
GraphQL works best for the following scenarios: Apps for devices such as mobile phones, smartwatches, and IoT devices, where bandwidth usage matters. Applications where nested data needs to be fetched in a single call.
What is a common benefit of using GraphQL over rest?
GraphQL offers many benefits over REST APIs. One of the main benefits is clients have the ability to dictate exactly what they need from the server, and receive that data in a predictable way.
How does GraphQL cache work?
Clients can use HTTP caching to easily avoid refetching resources in an endpoint-based API. The URL is a globally unique identifier. It can be leveraged by the client to build a cache by identifying when two resources are the same.
What are the pros and cons of GraphQL vs REST?
REST and GraphQL are two methods of data retrieval. One is a more traditional method, while the other one just came out in 2015 but has really taken off with developers….REST and GraphQL differences.
GraphQL | REST |
---|---|
No API versioning | Supports multiple API versions |
JSON representation only | Supports multiple data formats |
How does GraphQL improve performance?
GraphQL solves all performance issues A GraphQL API (server) implementation, out of the box, will have better performance than a standard REST API – for the clients. Since resolvers are called in parallel, data will load faster.
What is persisted query?
A persisted query is a query string that’s cached on the server side, along with its unique identifier (always its SHA-256 hash). Clients can send this identifier instead of the corresponding query string, thus reducing request sizes dramatically (response sizes are unaffected).
How does Apollo cache work?
Cache Keys When you make any graphQL query, by default Apollo caches the response in what it calls a flat, normalized lookup table. It constructs a unique identifier for each object returned from your query, by combining its id or _id properties with the __typename defined in your schema.
What is @GraphQL and why should I use it?
GraphQL solves the problem of writing Declarative, Compositional and Strongly Typed HTTP handler (s) to serve data to your clients (as the GraphQL homepage defines it) Declarative – it lets the caller define exactly what it expects to get. Compositional – allow composing your query of several objects on a graph that represents all your data.
Is it possible to cache data in GraphQL?
A final note: caching might not always be possible. For example, it’s not advisable for data that changes frequently, or for data that depends on the currently logged-in user. This is by no means an issue exclusive to GraphQL apps, but it’s true that they generally require you to write a lot of similar boilerplate code.
What is declarative and compositional in GraphQL?
GraphQL solves the problem of writing Declarative, Compositional and Strongly Typed HTTP handler (s) to serve data to your clients (as the GraphQL homepage defines it) Declarative – it lets the caller define exactly what it expects to get.
How can GraphQL improve the performance of your REST API?
By using GraphQL, we can minimize data fetching and improve the performance of our REST API. GraphQL is a query language for your API and a server-side runtime for executing queries using the type system you define for your data.