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).

---

Stage 1: Domain Modeling#

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

---

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)

---

Stage 3: Performance Patterns#

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

---

Stage 4: Errors & Partial Results#

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

---

Stage 5: Security & Authz#

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

---

Stage 6: Versioning & Evolution#

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

---

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.