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GraphQL API Implementation Checklist
Hard
15 items
·
2 hours
testuser
Published 1 month ago
This checklist helps backend developers build a secure, efficient GraphQL API. It covers schema design, resolver performance, security, and production hardening to avoid common pitfalls.
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- Define schema boundaries and domains — Split schema by feature; document types, inputs, and relationships.
- Design queries and mutations clearly — Name operations by intent and keep payloads focused.
- Plan subscriptions and real-time needs — Specify events, payloads, auth, and scaling expectations.
- Add input validation and custom scalars — Use scalars for Date/Email and validate inputs early.
- Generate typed schemas and resolvers with codegen — Run GraphQL codegen to produce TypeScript types and avoid runtime mismatches.
- Populate request context with authentication — Attach user, tokens, and services to context for resolver access.
- Enforce field and operation authorization — Check permissions in resolvers or with schema directives.
- Scan schema for N+1 query hotspots — Review nested lists and resolver patterns that may cause extra DB calls.
- Add DataLoader batching and caching to resolvers — Batch DB calls per request to eliminate N+1 and cache where appropriate.
- Set query depth limiting — Apply a max depth to reject deeply nested queries that can overload services.
- Enforce query complexity/cost analysis — Calculate cost per field and reject or throttle high-cost queries.
- Disable GraphQL playground and introspection in production — Serve playground only in dev/staging and restrict introspection to reduce attack surface.
- Enable persisted queries and whitelisting — Use persisted queries to improve caching and limit arbitrary query execution.
- Implement logging, tracing, and monitoring — Capture resolver timings, errors, and metrics to detect regressions quickly.
- Write unit and integration tests for resolvers and schema — Include auth, edge cases, and performance tests to prevent regressions.
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