This article provides a systematic, step‑by‑step approach for identifying the root causes of slow SQL statements and sluggish API responses, covering monitoring, query analysis, index tuning, N+1 detection, caching, async processing, and architectural best practices.
This article explains the classic N+1 query issue in Spring Data JPA, demonstrates how JPQL JOIN FETCH and the @EntityGraph annotation can declaratively load associations, and provides advanced examples—including named entity graphs and combining @EntityGraph with custom @Query—to improve performance and code maintainability.
This article explains the GraphQL N+1 performance issue, demonstrates how DataLoader batches and caches database calls to eliminate redundant queries, walks through its core TypeScript implementation—including batch scheduling, cache handling, and load methods—while providing practical examples and integration tips for real‑world GraphQL servers.
This article explains what GraphQL is, how its type system and Relay standard work, the N+1 problem, and presents three architectural approaches—prefixing, schema stitching, and RPC composition—for integrating GraphQL into microservices, along with authentication, authorization, and routing considerations.
