Graphql Schema

Deep GraphQL schema workflow—modeling types, queries and mutations, N+1 and complexity limits, errors and pagination, federation risks, and evolution. Use when designing or reviewing GraphQL APIs.

GraphQL Schema (Deep Workflow)

GraphQL concentrates complexity on the server: resolver graphs, N+1 fetches, schema evolution, and field-level authorization.

When to Offer This Workflow

Trigger conditions:

• Designing a new GraphQL API or federated subgraph
• Latency or complexity incidents from client queries
• Need for safe schema deprecation and versioning

Initial offer:

Use six stages: (1) domain modeling, (2) operations surface, (3) performance patterns, (4) errors & partial results, (5) security & authz, (6) versioning & evolution). Confirm client patterns (Apollo, Relay) and gateway (if any).

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Stage 1: Domain Modeling

Goal: Types reflect domain concepts; avoid dumping everything on Query; use input objects for mutations with validation.

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Stage 2: Operations Surface

Goal: Queries for reads; mutations for writes; subscriptions only when justified (scaling and operational cost).

Pagination

• Prefer cursor-based connections for large lists (Relay-style edges/nodes)

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Stage 3: Performance Patterns

Goal: DataLoader or batching for N+1; query complexity/depth/cost limits; optional persisted queries for public APIs.

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Stage 4: Errors & Partial Results

Goal: Document semantics of errors alongside partial data; map domain failures to structured extensions.

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Stage 5: Security & Authz

Goal: Enforce authorization at field/object level—not only at the top resolver.

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Stage 6: Versioning & Evolution

Goal: Prefer additive changes; @deprecated with migration window; in federation, clear ownership of types and entities.

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Final Review Checklist

• Schema reflects domain and operations
• Pagination and mutations idiomatic
• Batching and complexity limits in place
• Error behavior documented for clients
• Field-level authz enforced
• Deprecation policy defined

Tips for Effective Guidance

• N+1 is the default failure mode—plan batching early.
• Pair with rest-best-practices when REST and GraphQL coexist at the edge.

Handling Deviations

• Public APIs: consider persisted queries or allowlists to limit abusive queries.