Integration with Fastify

Fastify is one of the popular HTTP server frameworks for Node.js. It is a very simple, yet powerful framework that is easy to learn and use. You can easily integrate GraphQL Yoga with Fastify.

So you can benefit from the powerful plugins of Fastify ecosystem with GraphQL Yoga. See the ecosystem

Installation

yarn add fastify
yarn add graphql
yarn add graphql-yoga

Example

import { createYoga } from 'graphql-yoga'
import fastify, { FastifyRequest, FastifyReply } from 'fastify'
 
// This is the fastify instance you have created
const app = fastify({ logger: true })
 
const yoga = createYoga<{
  req: FastifyRequest
  reply: FastifyReply
}>({
  // Integrate Fastify logger
  logging: {
    debug: (...args) => args.forEach((arg) => app.log.debug(arg)),
    info: (...args) => args.forEach((arg) => app.log.info(arg)),
    warn: (...args) => args.forEach((arg) => app.log.warn(arg)),
    error: (...args) => args.forEach((arg) => app.log.error(arg))
  }
})
 
/**
 * We pass the incoming HTTP request to GraphQL Yoga
 * and handle the response using Fastify's `reply` API
 * Learn more about `reply` https://www.fastify.io/docs/latest/Reply/
 **/
app.route({
  url: '/graphql',
  method: ['GET', 'POST', 'OPTIONS'],
  handler: async (req, reply) => {
    // Second parameter adds Fastify's `req` and `reply` to the GraphQL Context
    const response = await yoga.handleNodeRequest(req, {
      req,
      reply
    })
    response.headers.forEach((value, key) => {
      reply.header(key, value)
    })
 
    reply.status(response.status)
 
    reply.send(response.body)
 
    return reply
  }
})
 
app.listen(4000)

Add dummy content type parser for File Uploads

Fastify needs to be aware of GraphQL Yoga will handle multipart/form-data requests because otherwise it will throw an error something like Unsupported media type.

// This will allow Fastify to forward multipart requests to GraphQL Yoga
app.addContentTypeParser('multipart/form-data', {}, (req, payload, done) =>
  done(null)
)

You can also check a full example on our GitHub repository here

Last updated on November 15, 2022

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