Avoid overfetching with properly designed GraphQL resolvers

The article provides an in-depth exploration of GraphQL resolvers, explaining how they address common issues associated with REST APIs, such as overfetching and underfetching data, particularly in mobile-first applications. It discusses the architecture of resolvers, emphasizing the importance of designing them efficiently to maximize GraphQL's promise of fetching only the requested data. The article illustrates the structure and function of resolvers with examples, highlighting potential pitfalls like overfetching even within GraphQL due to poorly designed resolvers. Solutions include moving resolver logic to specific fields and employing data deduplication strategies like DataLoader to tackle the N + 1 problem. It also covers best practices for integrating database operations within resolvers, depending on the database type, and concludes by underscoring the importance of monitoring GraphQL requests in production using tools like LogRocket for enhanced debugging and performance optimization.