GraphQL for Full-Stack Developers Designing Flexible APIs Beyond REST (Practical Programming)

Most GraphQL tutorials stop at the happy path - a todo list, a working query, a of the playground. This book starts there and keeps going into the territory where real APIs break: the N+1 problem hiding in every relationship, the normalized cache that silently stops updating after a mutation, authorization that doesn't map cleanly onto a graph, and the 400-byte query that can exhaust your server.
You'll build one application across fifteen chapters - a multi-user project tracker with a Node backend and a React client - and every technique arrives attached to a problem you can reproduce and measure. There's also a full chapter on when GraphQL is the wrong choice, because knowing that makes you better at the times it's the right one.
What you'll learn:
Design a schema that won't betray you when clients depend on it forever
Write resolvers that stay thin while your business logic stays testable
Diagnose and eliminate N+1 queries with DataLoader
Build cursor pagination that survives concurrent writes
Handle errors, nullability, and partial data without blanking out pages
Add JWT auth with role-based, field-level authorization
Ship real-time updates over WebSockets with per-subscriber filtering
Harden your API with depth limits, complexity scoring, and persisted queries
Evolve a versionless schema without breaking mobile clients
Recognize the cases where REST is genuinely the better call
Part of the Practical Programming Series - code you can run, not theory you have to trust.

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