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On this page
  • How Do Communications Work in GraphQL?
  • Core Components
  • Linking Nodes in Schema
  • Defining Queries
  • Query Example with Schema
  • Query Execution

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  1. API-Sec
  2. GraphQL API Security Testing

GraphQL Communication

PreviousThe BasicsNextSetting Up a Vulnerable GraphQL Server

Last updated 5 months ago

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How Do Communications Work in GraphQL?

GraphQL is a flexible query layer between the client and backend, allowing precise data retrieval. Its schema-driven structure ensures strong typing and easy query formation but requires careful design to avoid vulnerabilities like DoS from poorly written resolvers or two-way links.

When a client communicates with a GraphQL server (e.g., to fetch usernames or emails), the client sends a GraphQL query via the HTTP POST method. Though data retrieval typically uses the GET method in REST, GraphQL deviates here.

Core Components

  1. Query Parser Validates the query’s format and ensures it matches the GraphQL schema. Queries must comply with the application schema to be accepted.

  2. Schema The schema defines what data is available for querying. For example:

    type User {
       username: String
       email: String
    }
    
    type Location {
       latitude: Int
       longitude: Int
    }
    • Object Types: These are the building blocks of GraphQL schemas, representing data entities (e.g., User, Location).

    • Fields: Attributes specific to objects, such as username or latitude.

  3. Resolver Functions These handle data retrieval, e.g., fetching user details from a database.


Linking Nodes in Schema

GraphQL schemas allow linking objects using edges. For example, a User can reference a Location:

type User {
   username: String
   email: String
   location: Location  # Links User to Location
}

type Location {
   latitude: Int
   longitude: Int
}

This enables querying User data alongside their Location. However, the reverse isn’t possible unless explicitly defined in the schema.

Two-way links (e.g., allowing both User and Location to reference each other) should be used cautiously as they can introduce vulnerabilities like denial-of-service (DoS) attacks.


Defining Queries

GraphQL supports three main operation types:

  • Queries (read-only operations):

    query {
       users {
          username
          email
       }
    }

    Retrieves usernames and emails of all users.

  • Mutations (data manipulation):

    mutation {
       createUser(username: "john", email: "john@example.com") {
          id
       }
    }

    Adds a new user to the database.

  • Subscriptions (real-time updates):

    • Subscriptions are used for real-time communications between clients and GraphQL servers. They allow a GraphQL server to push data to the client when different events occur. Subscriptions typically are used in conjunction with transport protocols such as WebSocket.

    subscription {
       userUpdates {
          username
          email
       }
    }

Each query begins with a root type (e.g., Query, Mutation).


Query Example with Schema

Here’s a schema that allows querying users:

type User {
   username: String
   email: String
   location: Location
}

type Location {
   latitude: Int
   longitude: Int
}

type Query {
   users: [User]  # Returns an array of User objects
}

schema {
   query: Query
}

A corresponding query:

query {
   users {
      username
      email
   }
}

Notice that, while field names (like users) are lowercase, object names (like User) begin with an uppercase letter. This is the most common naming convention in GraphQL schemas.

Query Execution

  1. Parsing & Validation: The server uses a query parser to validate and convert the query into an abstract syntax tree (AST). This ensures compliance with the schema.

  2. Resolver Execution: Resolvers fetch data (e.g., from a database, file, or another API) and populate the query response.

Resolvers can handle complex tasks, such as making REST API calls, interacting with caching layers, or performing file lookups.

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