- What is Apollo cache?
- What is Apollo boost?
- What is __ Typename in GraphQL?
- Is GraphQL a server?
- What is a GraphQL client?
- Is GraphQL real time?
- What is normalized cache?
- How do I get to the Apollo cache?
- What are GraphQL subscriptions used for?
- What is a query in GraphQL?
- How does HTTP cache work?
- What is the benefit of the GraphQL schema and strong type system?
- Does GraphQL cache data?
- How do you clear the Apollo cache?
- What does a GraphQL client usually do before caching the results of a query?
What is Apollo cache?
InMemoryCache is a normalized data store that supports all of Apollo Client 1.0’s features without the dependency on Redux.
In some instances, you may need to manipulate the cache directly, such as updating the store after a mutation.
We’ll cover some common use cases here..
What is Apollo boost?
Apollo Boost is a zero-config way to start using Apollo Client. It includes some sensible defaults, such as our recommended InMemoryCache and HttpLink , which come configured for you with our recommended settings.
What is __ Typename in GraphQL?
GraphQL allows you to request __typename , a meta field, at any point in a query to get the name of the object type at that point.
Is GraphQL a server?
Server. GraphQL is often explained as a frontend-focused API technology because it enables clients to get data in a much nicer way than before. But the API itself is, of course, implemented on the server side.
What is a GraphQL client?
What is a GraphQL Client? if you boil it down to the basics, a GraphQL client is code that makes a POST request to a GraphQL Server. In the body of the request we send a GraphQL query or mutation as well as some variables and we expect to get some JSON back.
Is GraphQL real time?
Any GraphQL system has to have native real-time API capabilities.
What is normalized cache?
Normalized cache This type of caching will normalize the response data so that each GraphQL type is stored as a record in the cache with unidirectional references to its subtypes.
How do I get to the Apollo cache?
The devtools appear as an “Apollo” tab in your Chrome inspector, along side the “Elements” and “Console” tabs. There are currently 3 main features of the devtools: GraphiQL: Send queries to your server through the Apollo network interface, or query the Apollo cache to see what data is loaded.
What are GraphQL subscriptions used for?
What are GraphQL subscriptions? Subscriptions are a GraphQL feature that allows a server to send data to its clients when a specific event happens. Subscriptions are usually implemented with WebSockets. In that setup, the server maintains a steady connection to its subscribed client.
What is a query in GraphQL?
A GraphQL query is used to read or fetch values while a mutation is used to write or post values. In either case, the operation is a simple string that a GraphQL server can parse and respond to with data in a specific format. … GraphQL queries help to reduce over fetching of data.
How does HTTP cache work?
Overview. HTTP caching occurs when the browser stores local copies of web resources for faster retrieval the next time the resource is required. As your application serves resources it can attach cache headers to the response specifying the desired cache behavior.
What is the benefit of the GraphQL schema and strong type system?
1) GraphQL APIs have a strongly typed schema It clearly defines the operations (queries, mutations and subscriptions) supported by the API, including input arguments and possible responses. The schema is an unfailing contract that specifies the capabilities of an API.
Does GraphQL cache data?
HTTP caches will not caches POST requests, which means GraphQL is simply not cacheable at the HTTP level. However, GET is indeed a valid way to query a GraphQL server over HTTP. This means that caches could indeed cache GraphQL responses.
How do you clear the Apollo cache?
To accomplish this, use client. resetStore to clear out your Apollo cache.
What does a GraphQL client usually do before caching the results of a query?
Generally, when caching data, the intuition is to put information that’s fetched remotely into a local store from where it can be retrieved later on. With GraphQL, the naive approach would be to simply put the results of GraphQL queries into the store and simply return them whenever the same query is sent.