GraphQL Fastify Server
Installation
npm install --save graphql-fastify-server
Usage
const app = fastify();
const server = new GraphQLFastify({
schema,
context,
debug: !isProd,
playground: {
introspection: !isProd,
},
});
server.applyMiddleware({ app, path: '/' });
Using cache
On GraphQL Fastify Server you can use two types of cache, one is memory cache and the other is using a Redis instance. Then you inject the cache variable into the GraphQLFastify instance.
const cache: Cache<ContextType, Resolvers> = {
defaultTTL: 1000,
storage: 'memory',
policy: {
add: {
ttl: 1000,
},
},
extraCacheKeyData: (ctx) => {
const { locale } = ctx;
return locale;
},
};
// --- OR ---
const cache: Cache<ContextType, Resolvers> = {
defaultTTL: 1000,
storage: new Redis({
host: 'localhost',
port: 6379,
}),
policy: {
add: {
ttl: 1000,
},
},
extraCacheKeyData: (ctx) => {
const { locale } = ctx;
return locale;
},
};
Also, you can define the query scope between PUBLIC and PRIVATE for caching. This tells the cache to use the authorization token from the headers to compute the cache key.
const policy: CachePolicy<Resolvers> = {
add: {
ttl: 1000,
scope: 'PUBLIC',
},
sub: {
ttl: 1500,
scope: 'PRIVATE',
}
}
Middlewares
You can use middlewares at the Fastify and you can define in which operations you want to execute them.
const middlewares: Middlewares<ContextType, Resolvers> = [
{
handler: (context) => {
const { isAutheticated } = context;
if (!isAutheticated) throw new HttpError(401, 'Not authenticated');
},
operations: ['add'],
},
];
Liveness & Readiness
To check the health of the server you can make a GET request to the endpoint /server-health
Contributing
If you have any doubt or to point out an issue just go ahead and create a new issue. If you want to contribute, just check how.
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