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GraphQL Caching Demystified - Matteo Collina, GraphQL Galaxy 2021
Discover the secrets to GraphQL caching, explore strategies and tools to improve query performance, including caching systems, auto-pipelining, and Mercurius features, as well as best practices to optimize and speed up your GraphQL requests.
- Use a caching system, such as Redis, to improve performance of GraphQL queries.
- Auto-pipelining and caching validations are key strategies for improving performance.
- Mercurius, a GraphQL adapter, offers interesting features for caching.
- Caching keys can be computed based on the query, request, and current field selection.
- Implementing a cache with a TTL (time to live) can improve performance.
- Use of JSON.stringify to create a cache key can be problematic and slower.
- Using a library like safe stable stringify can improve performance.
- Parallelizing Redis gets can improve performance.
- Implementing a connection pool can improve performance.
- AutoCannon is a tool for running load tests in JavaScript.
- Fastify is a fast web framework for Node.js that can be used with GraphQL.
- The anatomy of a solver includes the root, arguments, and info object.
- The event loop is an important concept to understand in Node.js.
- Flame graphs can be used to visualize the performance of an application.
- Implementing a caching system can improve performance by reducing HTTP requests and round trip times.