Compiling GraphQL for optimal performance: going beyond Dataloader

This article discusses the architecture that allows Hasura v3 to achieve better-than-Dataloader performance across multiple data sources. It covers techniques for serving GraphQL more efficiently and includes example code to generate efficient database queries. The technique has three parts: decompose the query based on subgraphs, query compilation into efficient database queries, and execution. The article also explores the use of Dataloader and how to go beyond it for optimal performance. It provides benchmarks comparing simple dataloader approach to optimized database query using JSON variables.