GraphQL Implementation
Table of Contents
Overview
Implement GraphQL APIs with proper schema design, resolver patterns, error handling, and performance optimization for flexible client-server communication.
When to Use
- Designing new GraphQL APIs
- Creating GraphQL schemas and types
- Implementing resolvers and mutations
- Adding subscriptions for real-time data
- Migrating from REST to GraphQL
- Optimizing GraphQL performance
Quick Start
Minimal working example:
type User {
id: ID!
email: String!
firstName: String!
lastName: String!
role: UserRole!
posts: [Post!]!
createdAt: DateTime!
updatedAt: DateTime!
}
enum UserRole {
ADMIN
USER
MODERATOR
}
type Post {
id: ID!
title: String!
content: String!
author: User!
comments: [Comment!]!
publishedAt: DateTime
createdAt: DateTime!
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| GraphQL Schema Design | GraphQL Schema Design |
| Node.js Apollo Server Implementation | Node.js Apollo Server Implementation |
| Python GraphQL Implementation (Graphene) | Python GraphQL Implementation (Graphene) |
| Query Examples | Query Examples |
| Error Handling | Error Handling |
Best Practices
✅ DO
- Use clear, descriptive field names
- Design schemas around client needs
- Implement proper error handling
- Use input types for mutations
- Add subscriptions for real-time data
- Cache resolvers efficiently
- Validate input data
- Use federation for scalability
❌ DON'T
- Over-nest queries deeply
- Expose internal database IDs
- Return sensitive data without authorization
- Create overly complex schemas
- Forget to handle null values
- Ignore N+1 query problems
- Skip error messages