Advanced Backend

GraphQL

Schema design, resolvers, queries, and mutations.

Query Language for APIs

GraphQL lets clients request exactly the data they need, solving over-fetching and under-fetching problems common with REST.

Core Concepts

  • Schema: Type definitions describing your data
  • Queries: Read operations
  • Mutations: Write operations
  • Resolvers: Functions that fetch data for each field
  • Subscriptions: Real-time updates via WebSocket
# Schema Definition
type User {
  id: ID!
  name: String!
  email: String!
  posts: [Post!]!
}

type Query {
  user(id: ID!): User
  users: [User!]!
}

# Query Example
query {
  user(id: "1") {
    name
    posts {
      title
    }
  }
}

Benefits

  • Single endpoint for all data needs
  • Strongly typed schema
  • Built-in documentation (introspection)
  • Efficient data loading with DataLoader

Considerations

  • N+1 query problem (solved by DataLoader)
  • Caching is more complex than REST
  • Query complexity and depth limiting