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Caching in GraphQL Explained with Examples for API Developers | #graphql

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Caching is the process of storing data in a temporary storage called cache. When you hit a page that you've recently visited, the browser can get those files from the cache rather than the original server. This saves time, and bandwidth.
Caching is implemented in graphQL at the client side. Client applications interacting with GraphQL server are responsible for caching the data at their end. One possible pattern for this is reserving a field, like id, to be a global unique identifier.
InMemoryCache is a normalized data storage commonly used in GraphQL client applications.
Caching in graphql is based on unique identifier and at the client side but REST API uses web caching or URL caching. GraphQL has no native query caching and standard HTTP caching will not work for a GraphQL API.
Apollo Client stores the results of your GraphQL queries in a local, normalized, in-memory cache. This enables Apollo Client to respond almost immediately to queries for already-cached data, without even sending a network request.
Though caching in graphql is a complex affair compare to RESTAPI.
#graphqlapi #graphql #graphqlserver
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Caching is implemented in graphQL at the client side. Client applications interacting with GraphQL server are responsible for caching the data at their end. One possible pattern for this is reserving a field, like id, to be a global unique identifier.
InMemoryCache is a normalized data storage commonly used in GraphQL client applications.
Caching in graphql is based on unique identifier and at the client side but REST API uses web caching or URL caching. GraphQL has no native query caching and standard HTTP caching will not work for a GraphQL API.
Apollo Client stores the results of your GraphQL queries in a local, normalized, in-memory cache. This enables Apollo Client to respond almost immediately to queries for already-cached data, without even sending a network request.
Though caching in graphql is a complex affair compare to RESTAPI.
#graphqlapi #graphql #graphqlserver
** CHECK OUT OUR OTHER VIDEOS **
** CHECK OUR PLAYLISTS **
** ABOUT OUR CHANNEL **
CodeOneDigest is a youtube channel for the videos on programming language, cloud and docker container technology in English and Hindi languages.
Dosto, CodeOneDigest youtube channel pe aapko programming languages, container technology, cloud computing, software engineering se related videos milenge.
Check out our channel here:
Don’t forget to subscribe!
** OUR WEBSITE **
** GET IN TOUCH **
FOLLOW US ON SOCIAL - LIKE, SHARE & SUBSCRIBE
Get updates or reach out to Get updates on our Social Media Profiles!