Prompt
How do I build a GraphQL API?
Latest observation
Aug 27, 2026
OpenAI APIWeb search: off
Building a GraphQL API usually looks like this:
1) Define your schema
Your schema is the contract for what clients can ask for.
Example:
type Query {
user(id: ID!): User
users: [User!]!
}
type User {
id: ID!
name: String!
email: String!
}
This says:
user(id:)returns one userusersreturns a list of users- each
Userhasid,name, andemail
2) Pick a server library/framework
Common choices:
- JavaScript/TypeScript: Apollo Server, GraphQL Yoga, Mercurius
- Python: Strawberry, Ariadne, Graphene
- Java: Spring for GraphQL, graphql-java
- Go: gqlgen
- Ruby: graphql-ruby
If you want the easiest start in JS/TS, Apollo Server is popular.
3) Write resolvers
Resolvers are the functions that fetch the actual data.
Example in JavaScript:
const resolvers = {
Query: {
user: (_, { id }) => ({ id, name: "Alice", email: "alice@example.com" }),
users: () => [
{ id: "1", name: "Alice", email: "alice@example.com" },
{ id: "2", name: "Bob", email: "bob@example.com" },
],
},
};
- The schema defines what exists
- Resolvers define how to get it
4) Connect to a data source
Usually you’ll fetch from:
- a database
- REST APIs
- another service
- in-memory data for testing
Example with a database:
- resolver calls a service
- service queries PostgreSQL/MongoDB/etc.
5) Add a GraphQL server
Example using Apollo Server:
import { ApolloServer } from '@apollo/server';
import { startStandaloneServer } from '@apollo/server/standalone';
const typeDefs = `#graphql
type Query {
user(id: ID!): User
users: [User!]!
}
type User {
id: ID!
name: String!
email: String!
}
`;
const resolvers = {
Query: {
user: (_, { id }) => ({ id, name: "Alice", email: "alice@example.com" }),
users: () => [
{ id: "1", name: "Alice", email: "alice@example.com" },
{ id: "2", name: "Bob", email: "bob@example.com" },
],
},
};
const server = new ApolloServer({ typeDefs, resolvers });
const { url } = await startStandaloneServer(server, {
listen: { port: 4000 },
});
console.log(`Server ready at ${url}`);
6) Test with a query
You can query it like this:
query {
users {
id
name
}
}
Response:
{
"data": {
"users": [
{ "id": "1", "name": "Alice" },
{ "id": "2", "name": "Bob" }
]
}
}
7) Add common production features
You’ll usually want:
- Authentication/authorization
- Validation
- Error handling
- Pagination
- Caching
- Rate limiting
- Logging/monitoring
- Database batching to avoid N+1 queries
- Schema versioning strategy via deprecation instead of breaking changes
8) Expose mutations for writes
For changing data:
type Mutation {
createUser(name: String!, email: String!): User!
}
Resolver example:
Mutation: {
createUser: (_, { name, email }) => {
return { id: "3", name, email };
},
}
9) Consider subscriptions if you need real-time updates
For example:
- chat messages
- live notifications
- streaming updates
10) Best practices
- Keep the schema focused and user-friendly
- Use DataLoader or batching to avoid N+1 issues
- Prefer pagination for lists
- Make fields nullable only when needed
- Avoid exposing your database structure directly
- Use input types for mutations
Example:
input CreateUserInput {
name: String!
email: String!
}
type Mutation {
createUser(input: CreateUserInput!): User!
}
Suggested learning path
- Learn the basics of GraphQL queries, mutations, and schema
- Build a small API with mock data
- Add a real database
- Add auth and pagination
- Add subscriptions if needed
- Deploy
If you want, I can also give you:
- a complete GraphQL API example in Node.js
- a Python/FastAPI GraphQL example
- or a step-by-step tutorial with a database