fastify-gql

Fastify GraphQL adapter.

Features:

• Caching of query parsing and validation.
• Automatic loader integration to avoid 1 + N queries.
• Just-In-Time compiler via graphql-jit.
• Subscriptions.
• Federation support.
• Gateway implementation, including Subscriptions.
• Batched query support.
• Customisable persisted queries.

Install

npm i fastify fastify-gql

Example

'use strict'

const Fastify = require('fastify')
const GQL = require('fastify-gql')

const app = Fastify()

const schema = `
  type Query {
    add(x: Int, y: Int): Int
  }
`

const resolvers = {
  Query: {
    add: async (_, { x, y }) => x + y
  }
}

app.register(GQL, {
  schema,
  resolvers
})

app.get('/', async function (req, reply) {
  const query = '{ add(x: 2, y: 2) }'
  return reply.graphql(query)
})

app.listen(3000)

See test.js for more examples, docs are coming.

makeExecutableSchema support

'use strict'

const Fastify = require('fastify')
const GQL = require('fastify-gql')
const { makeExecutableSchema } = require('graphql-tools')

const app = Fastify()

const typeDefs = `
  type Query {
    add(x: Int, y: Int): Int
  }
`

const resolvers = {
  Query: {
    add: async (_, { x, y }) => x + y
  }
}

app.register(GQL, {
  schema: makeExecutableSchema({ typeDefs, resolvers })
})

app.get('/', async function (req, reply) {
  const query = '{ add(x: 2, y: 2) }'
  return reply.graphql(query)
})

app.listen(3000)

Persisted Queries

GraphQL query strings are often larger than the URLs used in REST requests, sometimes by many kilobytes.

Depending on the client, this can be a significant overhead for each request, especially given that upload speed is typically the most bandwidth-constrained part of the request lifecycle. Large queries can add significant performance overheads.

Persisted Queries solve this problem by having the client send a generated ID, instead of the full query string, resulting in a smaller request. The server can use an internal lookup to turn this back into a full query and return the result.

The persistedQueryProvider option lets you configure this for Fastify GQL. There are a few default options available, included in GQL.persistedQueryDefaults.

Prepared

Prepared queries give the best performance in all use cases, at the expense of tooling complexity. Queries must be hashed ahead of time, and a matching set of hashes must be available for both the client and the server. Additionally, version control of query hashes must be considered, e.g. queries used by old clients may need to be kept such that hashes can be calculated at build time. This can be very useful for non-public APIs, but is impractical for public APIs.

Clients can provide a full query string, or set the persisted flag to true and provide a hash instead of the query in the request:

{
  query: '',
  persisted: true
}

A map of hashes to queries must be provided to the server at startup:

const GQL = require('fastify-gql')

app.register(GQL, {
  ...
  persistedQueryProvider: GQL.persistedQueryDefaults.prepared({
    '':  '{ add(x: 1, y: 1) }'
  })
})

Alternatively the peristedQueries option may be used directly, which will be internally mapped to the prepared default:

const GQL = require('fastify-gql')

app.register(GQL, {
  ...
  persistedQueries: {
    '':  '{ add(x: 1, y: 1) }'
  }
})

Prepared Only

This offers similar performance and considerations to the prepared queries, but only allows persisted queries. This provides additional secuirity benefits, but means that the server must know all queries ahead of time or will reject the request.

The API is the same as the prepared default.

Alternatively the peristedQueries and onlyPersisted options may be used directly, which will be internally mapped to the preparedOnly default:

const GQL = require('fastify-gql')

app.register(GQL, {
  ...
  persistedQueries: {
    '': '{ add(x: 1, y: 1) }'
  },
  onlyPersisted: true
})

Automatic

This default is compatible with apollo-client, and requires no additional tooling to set up at the cost of some performance. In order for this mode to be effective, you must have long lived server instances (i.e not cloud functions). This mode is also appropriate for public APIs where queries are not known ahead of time.

When an unrecognised hash is recieved by the server instance, an error is thrown informing the client that the persisted query has not been seen before. The client then re-sends the full query string. When a full query string is recieved, the server caches the hash of the query string and returns the response. Note that sticky sessions should be used to ensure optimal performance here by making sure the follow up request is sent to the same server instance.

The next request for that query (from the same or a different client) will already have been cached and will then be looked up accordingly.

When the server initially starts, no queries will be cached and additional latency will be added to the first requests recieved (due to the client re-sending the full query). However, the most common queries will rapidly be cached by the server. After a warmup (length dependent on the number of queries clients might send and how frequent they are) performance will match that of the prepared query option.

Additional documentation on Apollo's automatic persisted queries implementation can be found here.

Example:

const GQL = require('fastify-gql')

app.register(GQL, {
  ...
  persistedQueryProvider: GQL.persistedQueryDefaults.automatic()
})

An LRU cache is used to prevent DoS attacks on the storage of hashes & queries. The maximum size of this cache (maximum number of cached queries) can be adjusted by passing a value to the constructor, for example:

const GQL = require('fastify-gql')

app.register(GQL, {
  ...
  persistedQueryProvider: GQL.persistedQueryDefaults.automatic(5000)
})

Custom Persisted Queries

It is also possible to extend or modify these persisted query implementations for custom cases, such as automatic Persisted Queries, but with a shared cache between servers.

This would enable all persisted queries to be shared between all server instances in a cache which is dynamically populated. The lookup time from the cache is an additional overhead for each request, but a higher rate of persisted query matches would be achieved. This may be beneficial, for example, in a public facing API which supports persisted queries and uses cloud functions (short lived server instances). Note the performance impacts of this need to be considered thoroughly: the latency added to each request must be less than the savings from smaller requests.

A example of using this with Redis would be:

const GQL = require('fastify-gql')

const persistedQueryProvider = {
  ...GQL.persistedQueryDefaults.automatic(),
  getQueryFromHash: async (hash) => redis.get(hash),
  saveQuery: async (hash, query) => redis.set(hash, query),
}

app.register(GQL, {
  ...
  persistedQueryProvider
})

Batched Queries

Batched queries, like those sent by apollo-link-batch-http are supported by enabling the allowBatchedQueries option.

Instead a single query object, an array of queries is accepted, and the response is returned as an array of results. Errors are returned on a per query basis. Note that the response will not be returned until the slowest query has been executed.

Request:

[
  {
    operationName: 'AddQuery',
    variables: { x: 1, y: 2 },
    query: 'query AddQuery ($x: Int!, $y: Int!) { add(x: $x, y: $y) }'
  },
  {
    operationName: 'DoubleQuery',
    variables: { x: 1 },
    query: 'query DoubleQuery ($x: Int!) { add(x: $x, y: $x) }'
  },
  {
    operationName: 'BadQuery',
    query: 'query DoubleQuery ($x: Int!) {---' // Malformed Query
  }
]

Response:

[
  {
    data: { add: 3 }
  },
  {
    data: { add: 2 }
  },
  {
    errors: [{ message: 'Bad Request' }]
  }
]

Access app context in resolver

...

const resolvers = {
  Query: {
    add: async (_, { x, y }, context) => {
      // do you need the request object?
      console.log(context.reply.request)
      return x + y
    }
  }
}

...

Build a custom GraphQL context object

...
const resolvers = {
  Query: {
    me: async (obj, args, ctx) => {
      // access user_id in ctx
      console.log(ctx.user_id)
    }
  }
}
app.register(GQL, {
  schema: makeExecutableSchema({ typeDefs, resolvers }),
  context: (request, reply) => {
    // Return an object that will be available in your GraphQL resolvers
    return {
        user_id: 1234
    }
  }
})
...

Subscription support (simple)

const schema = `
  type Notification {
    id: ID!
    message: String
  }

  type Query {
    notifications: [Notification]
  }

  type Mutation {
    addNotification(message: String): Notification
  }

  type Subscription {
    notificationAdded: Notification
  }
`

let idCount = 1
const notifications = [{
  id: idCount,
  message: 'Notification message'
}]

const resolvers = {
  Query: {
    notifications: () => notifications
  },
  Mutation: {
    addNotification: async (_, { message }, { pubsub }) => {
      const id = idCount++
      const notification = {
        id,
        message
      }
      notifications.push(notification)
      await pubsub.publish({
        topic: 'NOTIFICATION_ADDED',
        payload: {
          notificationAdded: notification
        }
      })

      return notification
    }
  },
  Subscription: {
    notificationAdded: {
      // You can also subscribe to multiple topics at once using an array like this:
      //  pubsub.subscribe(['TOPIC1', 'TOPIC2'])
      subscribe: async (root, args, { pubsub }) => await pubsub.subscribe('NOTIFICATION_ADDED')
    }
  }
}

app.register(GQL, {
  schema,
  resolvers,
  subscription: true
})

Build a custom GraphQL context object for subscriptions

...
const resolvers = {
  Mutation: {
    sendMessage: async (_, { message, userId }, { pubsub }) => {
      await pubsub.publish({
        topic: userId,
        payload: message
      })

      return "OK"
    }
  },
  Subscription: {
    receivedMessage: {
      // If someone calls the sendMessage mutation with the Id of the user that was added
      // to the subscription context, that user receives the message.
      subscribe: (root, args, { pubsub, user }) => pubsub.subscribe(user.id)
    }
  }
}

app.register(GQL, {
  schema,
  resolvers,
  subscription: {
      // Add the decoded JWT from the Authorization header to the subscription context.
      context: (_, req) => ({ user: jwt.verify(req.headers["Authorization"].slice(7))})
  }
})
...

Subscription support (with redis)

const redis = require('mqemitter-redis')
const emitter = redis({
  port: 6579,
  host: '127.0.0.1'
})

const schema = `
  type Vote {
    id: ID!
    title: String!
    ayes: Int
    noes: Int
  }

  type Query {
    votes: [Vote]
  }

  type Mutation {
    voteAye(voteId: ID!): Vote
    voteNo(voteId: ID!): Vote
  }

  type Subscription {
    voteAdded(voteId: ID!): Vote
  }
`
const votes = []
const VOTE_ADDED = 'VOTE_ADDED';

const resolvers = {
  Query: {
    votes: async () => votes
  },
  Mutation: {
    voteAye: async (_, { voteId }, { pubsub }) => {
      if (voteId <= votes.length) {
        votes[voteId - 1].ayes++;
        await pubsub.publish(
          {
            topic: `VOTE_ADDED_${voteId}`,
            payload: {
              voteAdded: votes[voteId - 1]
            }
          }
        );

        return votes[voteId - 1];
      }

      throw new Error('Invalid vote id');
    },
    voteNo: async (_, { voteId }, { pubsub }) => {
      if (voteId <= votes.length) {
        votes[voteId - 1].noes++;
        await pubsub.publish(
          {
            topic: `VOTE_ADDED_${voteId}`,
            payload: {
              voteAdded: votes[voteId - 1]
            }
          }
        );

        return votes[voteId - 1];
      }

      throw new Error('Invalid vote id');
    }
  },
  Subscription: {
    voteAdded: {
      subscribe: async (root, { voteId }, { pubsub }) => {
        // subscribe only for a vote with a given id
        return await pubsub.subscribe(`VOTE_ADDED_${voteId}`);
      }
    }
  }
};

app.register(GQL, {
  schema,
  resolvers,
  subscription: {
    emitter,
    verifyClient: (info, next) => {
      if (info.req.headers['x-fastify-header'] !== 'fastify is awesome !') {
        return next(false) // the connection is not allowed
      }
      next(true) // the connection is allowed
    }
  }
})

Federation metadata support

The signature of the method is the same as a standard resolver: __resolveReference(source, args, context, info) where the source will contain the reference object that needs to be resolved.

'use strict'

const Fastify = require('fastify')
const GQL = require('fastify-gql')

const users = {
  1: {
    id: '1',
    name: 'John',
    username: '@john'
  },
  2: {
    id: '2',
    name: 'Jane',
    username: '@jane'
  }
}

const app = Fastify()
const schema = `
  extend type Query {
    me: User
  }

  type User @key(fields: "id") {
    id: ID!
    name: String
    username: String
  }
`

const resolvers = {
  Query: {
    me: () => {
      return users['1']
    }
  },
  User: {
    __resolveReference: (source, args, context, info) => {
      return users[source.id]
    }
  }
}

app.register(GQL, {
  schema,
  resolvers,
  federationMetadata: true
})

app.get('/', async function (req, reply) {
  const query = '{ _service { sdl } }'
  return app.graphql(query)
})

app.listen(3000)

Federation with __resolveReference caching

Just like standard resolvers, the __resolveReference resolver can be a performance bottleneck. To avoid this, the it is strongly recommended to define the __resolveReference function for an entity as a loader.

'use strict'

const Fastify = require('fastify')
const GQL = require('fastify-gql')

const users = {
  1: {
    id: '1',
    name: 'John',
    username: '@john'
  },
  2: {
    id: '2',
    name: 'Jane',
    username: '@jane'
  }
}

const app = Fastify()
const schema = `
  extend type Query {
    me: User
  }

  type User @key(fields: "id") {
    id: ID!
    name: String
    username: String
  }
`

const resolvers = {
  Query: {
    me: () => {
      return users['1']
    }
  }
}

const loaders = {
  User: {
    async __resolveReference(queries, context) {
      // This should be a bulk query to the database
      return queries.map(({ obj }) => users[obj.id])
    }
  }
}

app.register(GQL, {
  schema,
  resolvers,
  loaders,
  federationMetadata: true
})

app.get('/', async function (req, reply) {
  const query = '{ _service { sdl } }'
  return app.graphql(query)
})

app.listen(3000)

Use GraphQL server as a Gateway for federated schemas

A GraphQL server can act as a Gateway that composes the schemas of the underlying services into one federated schema and executes queries across the services. Every underlying service must be a GraphQL server that supports the federation.

In Gateway mode the following options are not allowed (the plugin will throw an error if any of them are defined):

• schema
• resolvers
• loaders

Also, using the following decorator methods will throw:

• app.graphql.defineResolvers
• app.graphql.defineLoaders
• app.graphql.extendSchema

const gateway = Fastify()
const GQL = require('fastify-gql')

gateway.register(GQL, {
  gateway: {
    services: [
      {
        name: 'user',
        url: 'https://localhost:4001/graphql',
        rewriteHeaders: (headers) => {
          if (headers.authorization) {
            return {
              authorization: headers.authorization
            }
          }

          return {
            'x-api-key': 'secret-api-key'
          }
        }
      },
      {
        name: 'post',
        url: 'https://localhost:4002/graphql'
      }
    ]
  }
})

await gateway.listen(4000)

Periodically refresh federated schemas in Gateway mode

The Gateway service can obtain new versions of federated schemas automatically within a defined polling interval using the following configuration:

• gateway.pollingInterval defines the interval (in milliseconds) the gateway should use in order to look for schema changes from the federated services. If the received schema is unchanged, the previously cached version will be reused.

const gateway = Fastify();
const GQL = require("fastify-gql");

gateway.register(GQL, {
  gateway: {
    services: [
      {
        name: "user",
        url: `https://localhost:3000/graphql`,
      },
    ],
    pollingInterval: 2000,
  },
});

gateway.listen(3001);

Programmatically refresh federated schemas in Gateway mode

The service acting as the Gateway can manually trigger re-fetching the federated schemas programmatically by calling the application.graphql.gateway.refresh() method. The method either returns the newly generated schema or null if no changes have been discovered.

const Fastify = require("fastify");
const GQL = require("fastify-gql");

const server = Fastify();

server.register(GQL, {
  graphiql: "playground",
  gateway: {
    services: [
      {
        name: "user",
        url: "https://localhost:3000/graphql",
      },
      {
        name: "company",
        url: "https://localhost:3001/graphql",
      },
    ],
  },
});

server.listen(3002);

setTimeout(async () => {
  const schema = await server.graphql.gateway.refresh();

  if (schema !== null) {
    server.graphql.replaceSchema(schema);
  }
}, 10000);

Flag a service as mandatory in Gateway mode

A Gateway service can handle the federated services in 2 different modes, mandatory or not by utilizing the gateway.services.mandatory configuration flag. If a service is not considered mandatory, creating the federated schema will succeed even if the service isn't capable of delivering a schema. By default, all services are consideredmandatory. Note: At least 1 service is necessary in order to create a valid federated schema.

const Fastify = require("fastify");
const GQL = require("fastify-gql");

const server = Fastify();

server.register(GQL, {
  graphiql: "playground",
  gateway: {
    services: [
      {
        name: "user",
        url: "https://localhost:3000/graphql",
        mandatory: true,
      },
      {
        name: "company",
        url: "https://localhost:3001/graphql",
      },
    ],
  },
  pollingInterval: 2000,
});

server.listen(3002);

Using a custom errorHandler for handling downstream service errors in Gateway mode

Service which uses Gateway mode can process different types of issues that can be obtained from remote services (for example, Network Error, Downstream Error, etc.). A developer can provide a function (gateway.errorHandler) that can process these errors.

const Fastify = require("fastify");
const GQL = require("fastify-gql");

const server = Fastify();

server.register(GQL, {
  graphiql: "playground",
  gateway: {
    services: [
      {
        name: "user",
        url: "https://localhost:3000/graphql",
        mandatory: true,
      },
      {
        name: "company",
        url: "https://localhost:3001/graphql",
      },
    ],
  },
  pollingInterval: 2000,
  errorHandler: (error, service) => {
    if (service.mandatory) {
      logger.error(error);
    }
  },
});

server.listen(3002);

Use errors extension to provide additional information to query errors

GraphQL services may provide an additional entry to errors with the key extensions in the result.

'use strict'

const Fastify = require('fastify')
const GQL = require('fastify-gql')
const { ErrorWithProps } = GQL

const users = {
  1: {
    id: '1',
    name: 'John'
  },
  2: {
    id: '2',
    name: 'Jane'
  }
}

const app = Fastify()
const schema = `
  type Query {
    findUser(id: String!): User
  }

  type User {
    id: ID!
    name: String
  }
`

const resolvers = {
  Query: {
    findUser: (_, { id }) => {
      const user = users[id]
      if (user) return users[id]
      else throw new ErrorWithProps('Invalid User ID', { id, code: "USER_ID_INVALID", timestamp: Math.round(new Date().getTime()/1000) })
    }
  }
}

app.register(GQL, {
  schema,
  resolvers
})

app.listen(3000)

API

plugin options

fastify-gql supports the following options:

• schema: String or schema definition. The graphql schema. The string will be parsed.

• resolvers: Object. The graphql resolvers.

• loaders: Object. See defineLoaders for more details.

• graphiql: boolean | string. Serve GraphiQL on /graphiql if true or 'graphiql', or GraphQL IDE on /playground if 'playground' and if routes is true. Leave empty or false to disable. only applies if onlyPersisted option is not true

• playgroundSettings Object. that allow you to configure GraphQL Playground with playground options. it works if the graphiql is set to 'playground'.

• jit: Integer. The minimum number of execution a query needs to be executed before being jit'ed.

• routes: boolean. Serves the Default: true. A graphql endpoint is exposed at /graphql.

• path: string. Change default graphql /graphql route to another one.

• context: Function. Result of function is passed to resolvers as a custom GraphQL context. The function receives the request and reply as parameters. It is only called when routes options is true

• prefix: String. Change the route prefix of the graphql endpoint if enabled.

• defineMutation: Boolean. Add the empty Mutation definition if schema is not defined (Default: false).

• errorHandler: Function  or boolean. Change the default error handler (Default: true). Note: If a custom error handler is defined, it should return the standardized response format according to GraphQL spec.

• errorFormatter: Function. Change the default error formatter. Allows the status code of the response to be set, and a GraphQL response for the error to be defined. This can be used to format errors for batched queries, which return a successful response overall but individual errors, or to obfuscate or format internal errors. The first argument is the error object, while the second one might be the context if it is available.

• queryDepth: Integer. The maximum depth allowed for a single query. Note: GraphiQL IDE (or Playground IDE) sends an introspection query when it starts up. This query has a depth of 7 so when the queryDepth value is smaller than 7 this query will fail with a Bad Request error

• validationRules: Function or Function[]. Optional additional validation rules that the queries must satisfy in addition to those defined by the GraphQL specification. When using Function, arguments include additional data from graphql request and the return value must be validation rules Function[].

• subscription: Boolean | Object. Enable subscriptions. It uses mqemitter when it is true and exposes the pubsub interface to app.graphql.pubsub. To use a custom emitter set the value to an object containing the emitter.

  • subscription.emitter: Custom emitter
  • subscription.verifyClient: Function A function which can be used to validate incoming connections.
  • subscription.context: Function Result of function is passed to subscription resolvers as a custom GraphQL context. The function receives the connection and request as parameters.
  • subscription.onConnect: Function A function which can be used to validate the connection_init payload. If defined it should return a truthy value to authorize the connection. If it returns an object the subscription context will be extended with the returned object.

• federationMetadata: Boolean. Enable federation metadata support so the service can be deployed behind an Apollo Gateway

• gateway: Object. Run the GraphQL server in gateway mode.

  • gateway.services: Service[] An array of GraphQL services that are part of the gateway
    • service.name: A unique name for the service. Required.
    • service.url: The url of the service endpoint. Required
    • service.rewriteHeaders: Function A function that gets the original headers as a parameter and returns an object containing values that should be added to the headers
    • service.wsUrl: The url of the websocket endpoint
    • service.wsConnectionParams: Function or Object
      • wsConnectionParams.connectionInitPayload: Function or Object An object or a function that returns the connection_init payload sent to the service.
      • wsConnectionParams.reconnect: Boolean Enable reconnect on connection close (Default: false)
      • wsConnectionParams.maxReconnectAttempts: Number Defines the maximum reconnect attempts if reconnect is enabled (Default: Infinity)
      • wsConnectionParams.connectionCallback: Function A function called after a connection_ack message is received.
      • wsConnectionParams.failedConnectionCallback: Function A function called after a connection_error message is received, the first argument contains the message payload.
      • wsConnectionParams.failedReconnectCallback: Function A function called if reconnect is enabled and maxReconnectAttempts is reached.

• persistedQueries: A hash/query map to resolve the full query text using it's unique hash. Overrides persistedQueryProvider.

• onlyPersisted: Boolean. Flag to control whether to allow graphql queries other than persisted. When true, it'll make the server reject any queries that are not present in the persistedQueries option above. It will also disable any ide available (playground/graphiql). Requires persistedQueries to be set, and overrides persistedQueryProvider.

• persistedQueryProvider

  • isPersistedQuery: (request: object) => boolean: Return true if a given request matches the desired persisted query format.
  • getHash: (request: object) => string: Return the hash from a given request, or falsy if this request format is not supported.
  • getQueryFromHash: async (hash: string) => string: Return the query for a given hash.
  • getHashForQuery?: (query: string) => string: Return the hash for a given query string. Do not provide if you want to skip saving new queries.
  • saveQuery?: async (hash: string, query: string) => void: Save a query, given its hash.
  • notFoundError?: string: An error message to return when getQueryFromHash returns no result. Defaults to Bad Request.
  • notSupportedError?: string: An error message to return when a query matches isPersistedQuery, but returns no valid hash from getHash. Defaults to Bad Request.

• allowBatchedQueries: Boolean. Flag to control whether to allow batched queries. When true, the server supports recieving an array of queries and returns an array of results.

queryDepth example

query {
  dogs {
    name
    owner {
      name
      pet {
        name
        owner {
          name
          pet {
            name
          }
        }
      }
    }
  }
}

A queryDepth of 6 would allow this query. 5 or less would throw with the error - unnamedQuery query exceeds the query depth limit of 5

HTTP endpoints

GET /graphql

Executed the GraphQL query passed via query string parameters. The supported query string parameters are:

• query, the GraphQL query.
• operationName, the operation name to execute contained in the query.
• variables, a JSON object containing the variables for the query.

POST /graphql

Executes the GraphQL query or mutation described in the body. The payload must conform to the following JSON schema:

{
  type: 'object',
  properties: {
    query: {
      type: 'string',
      description: 'the GraphQL query'
    },
    operationName: {
      type: 'string'
    },
    variables: {
      type: ['object', 'null'],
      additionalProperties: true
    }
  }
}

For code from example use:

curl -H "Content-Type:application/json" -XPOST -d '{"query": "query { add(x: 2, y: 2) }"}' https://localhost:3000/graphql

POST /graphql with Content-type: application/graphql

Executes the GraphQL query or mutation described in the body. operationName and variables can not be passed using this method. The payload contains the GraphQL query.

For code from example use:

curl -H "Content-Type:application/graphql" -XPOST -d "query { add(x: 2, y: 2) }" https://localhost:3000/graphql

GET /graphiql

Serves GraphiQL if enabled by the options.

GET /playground

Serves GraphQL IDE if enabled by the options.

decorators

fastify-gql adds the following decorators.

app.graphql(source, context, variables, operationName)

Decorate Server with a graphql method. It calls the upstream graphql() method with the defined schema, and it adds { app } to the context.

const Fastify = require('fastify')
const GQL = require('fastify-gql')

const app = Fastify()
const schema = `
  type Query {
    add(x: Int, y: Int): Int
  }
`

const resolvers = {
  Query: {
    add: async (_, { x, y }) => x + y
  }
}

app.register(GQL, {
  schema,
  resolvers
})

async function run () {
  // needed so that graphql is defined
  await app.ready()

  const query = '{ add(x: 2, y: 2) }'
  const res = await app.graphql(query)

  console.log(res)
  // prints:
  //
  // {
  //   data: {
  //      add: 4
  //   }
  // }
}

run()

app.graphql.extendSchema(schema) and app.graphql.defineResolvers(resolvers)

It is possible to add schemas and resolvers in separate fastify plugins, like so:

const Fastify = require('fastify')
const GQL = require('fastify-gql')

const app = Fastify()
const schema = `
  extend type Query {
    add(x: Int, y: Int): Int
  }
`

const resolvers = {
  Query: {
    add: async (_, { x, y }) => x + y
  }
}

app.register(GQL)

app.register(async function (app) {
  app.graphql.extendSchema(schema)
  app.graphql.defineResolvers(resolvers)
})

async function run () {
  // needed so that graphql is defined
  await app.ready()

  const query = '{ add(x: 2, y: 2) }'
  const res = await app.graphql(query)

  console.log(res)
  // prints:
  //
  // {
  //   data: {
  //      add: 4
  //   }
  // }
}

run()

app.graphql.replaceSchema(schema)

It is possible to replace schema and resolvers using makeSchemaExecutable function in separate fastify plugins, like so:

const Fastify = require('fastify')
const GQL = require('fastify-gql')
const { makeExecutableSchema } = require('graphql-tools')

const app = Fastify()

app.register(GQL, {
  schema: makeExecutableSchema({
    typeDefs: `
    type Query {
      add(x: Int, y: Int): Int
    }
  `,
    resolvers: {
      Query: {
        add: async (_, { x, y }) => x + y
      }
    }
  })
})

app.register(async function (app) {
  app.graphql.replaceSchema(
    makeExecutableSchema({
      typeDefs: `
      type Query {
        add(x: Int, y: Int, z: Int): Int
      }
    `,
      resolvers: {
        Query: {
          add: async (_, { x, y, z }) => x + y + z
        }
      }
    })
  )
})

async function run () {
  // needed so that graphql is defined

  await app.ready()

  const query = '{ add(x: 2, y: 2, z: 2) }'
  const res = await app.graphql(query)

  console.log(res)
  // prints:
  //
  // {
  //   data: {
  //      add: 6
  //   }
  // }
}

run()

app.graphql.schema

Provides access to the built GraphQLSchema object that fastify-gql will use to execute queries. This property will reflect any updates made by extendSchema or replaceSchema as well.

app.graphql.defineLoaders(loaders)

A loader is an utility to avoid the 1 + N query problem of GraphQL. Each defined loader will register a resolver that coalesces each of the request and combines them into a single, bulk query. Morever, it can also cache the results, so that other parts of the GraphQL do not have to fetch the same data.

Each loader function has the signature loader(queries, context). queries is an array of objects defined as { obj, params } where obj is the current object and params are the GraphQL params (those are the first two parameters of a normal resolver). The context is the GraphQL context, and it includes a reply object.

Example:

const loaders = {
  Dog: {
    async owner (queries, { reply }) {
      return queries.map(({ obj }) => owners[obj.name])
    }
  }
}

app.register(GQL, {
  schema,
  resolvers,
  loaders
})

It is also possible disable caching with:

const loaders = {
  Dog: {
    owner: {
      async loader (queries, { reply }) {
        return queries.map(({ obj }) => owners[obj.name])
      },
      opts: {
        cache: false
      }
    }
  }
}

app.register(GQL, {
  schema,
  resolvers,
  loaders
})

Disabling caching has the advantage to avoid the serialization at the cost of more objects to fetch in the resolvers.

Internally, it uses single-user-cache.

reply.graphql(source, context, variables, operationName)

Decorate Reply with a graphql method. It calls the upstream graphql() function with the defined schema, and it adds { app, reply } to the context.

const Fastify = require('fastify')
const GQL = require('fastify-gql')

const app = Fastify()
const schema = `
  type Query {
    add(x: Int, y: Int): Int
  }
`

const resolvers = {
  add: async ({ x, y }) => x + y
}

app.register(GQL, {
  schema,
  resolvers
})

app.get('/', async function (req, reply) {
  const query = '{ add(x: 2, y: 2) }'
  return reply.graphql(query)
})

async function run () {
  const res = await app.inject({
    method: 'GET',
    url: '/'
  })

  console.log(JSON.parse(res.body), {
    data: {
      add: 4
    }
  })
}

run()

License

MIT