DataLoaders with Spring Context and Async
Integrate GraphQL DataLoaders cleanly into Spring Boot: register them per request, access them in resolvers, and combine them with asynchronous, non-blocking data access.
Recap: Why DataLoaders
You already know DataLoaders batch and cache to defeat the N+1 problem. Now the focus shifts to integration: wiring them into Spring's request lifecycle and async model the right way.
DataLoaders Are Request-Scoped
A DataLoader's cache must not leak across requests, or one user could see another's stale data. DataLoaders therefore live for a single GraphQL request and are discarded afterward.
All lessons in this course
- The N+1 Problem Explained
- Introducing GraphQL DataLoaders
- Implementing Batching and Caching
- DataLoaders with Spring Context and Async