ReasonJun

In GraphQL, a fetch policy is a strategy for determining how to fetch data from the server. The fetch policy is specified when a query is made, and it can be used to control whether the data is fetched from the cache, from the server, or from both. There are five main fetch policies in GraphQL: cache-first : This policy checks the cache first, and only fetches data from the server if the data is..

In GraphQL, normalization refers to the process of storing data in a way that minimizes redundancy. This can be done by storing related data in separate tables or documents, or by using a normalized data structure such as a graph. There are two main types of normalization in GraphQL: Data normalization is the process of storing data in a way that minimizes redundancy. This can be done by storing..

Caching is the process of storing data in a temporary location so that it can be accessed more quickly later. In GraphQL, caching can be used to improve the performance of queries by storing the results of previous queries in a cache and returning them if the same query is made again. There are two main types of caching in GraphQL: Client-side caching is done by the client application. The clien..

Apollo is a company that provides tools and services for building GraphQL APIs and applications. Apollo's products include: Apollo Server: A GraphQL server that is easy to set up and use. Apollo Client: A GraphQL client library that makes it easy to fetch and cache data from GraphQL servers. Apollo Studio: A cloud-based platform for monitoring and debugging GraphQL APIs. Apollo Server is a power..

A resolver in GraphQL is a function that is responsible for fetching the data for a single field in a GraphQL schema. Resolvers are typically written in JavaScript, but they can be written in any language that can be executed on the server. When a client makes a GraphQL query, the resolvers for the fields in the query are called in order to fetch the data. The resolvers can fetch data from a var..

GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. It is a declarative language, which means that you describe what data you want, not how to get it. This makes it more efficient and flexible than traditional REST APIs. GraphQL is organized in terms of types and fields, not endpoints. This means that you can ask for exactly the data you need,..