Apollo服务器-关于缓存/数据源选项的困惑[英] Apollo Server - Confusion about cache/datasource options

问题描述

The docs (https://www.apollographql.com/docs/apollo-server/features/data-sources.html#Using-Memcached-Redis-as-a-cache-storage-backend) show code like this:

const { RedisCache } = require('apollo-server-cache-redis');

const server = new ApolloServer({
  typeDefs,
  resolvers,
  cache: new RedisCache({
    host: 'redis-server',
    // Options are passed through to the Redis client
  }),
  dataSources: () => ({
    moviesAPI: new MoviesAPI(),
  }),
});

I was wondering how that cache key is used, considering it seems like the caching is actually custom implemented in something like MoviesAPI() and then used via context.dataSources.moviesAPI.someFunc(). For example, say I wanted to implement my own cache for a SQL database. It'd look like

  cache: new RedisCache({
    host: 'redis-server',
  }),
  dataSources: () => ({
    SQL: new SQLCache(),
  }),
});

where SQLCache has my own function that connects to the RedisCache like:

  getCached(id, query, ttl) {
    const cacheKey = `sqlcache:${id}`;

    return redisCache.get(cacheKey).then(entry => {
      if (entry) {
        console.log('CACHE HIT!');
        return Promise.resolve(JSON.parse(entry));
      }
      console.log('CACHE MISS!');
      return query.then(rows => {
        if (rows) redisCache.set(cacheKey, JSON.stringify(rows), ttl);
        return Promise.resolve(rows);
      });
    });
  }

So that means I have RedisCache in both the ApolloServer cache key and dataSource implementation. Clearly, the RedisCache is used in the dataSource implementation, but then what does that ApolloServer cache key do exactly?

Also on the client, examples mostly show use of InMemoryCache instead of Redis cache. Should the client Apollo cache be a different cache from the server cache or should the same cache like RedisCache be in both places?

推荐答案

The cache passed to the ApolloServer is, to my knowledge, strictly used in the context of a RESTDataSource. When fetching resources from the REST endpoint, the server will examine the Cache-Control header on the response, and if one exists, will cache the resource appropriately. That means if the header is max-age=86400, the response will be cached with a TTL of 24 hours, and until the cache entry expires, it will be used instead of calling the same REST url.

This is different than the caching mechanism you've implemented, since your code caches the response from the database. Their intent is the same, but they work with different resources. The only way your code would effectively duplicate what ApolloServer's cache already does is if you had written a similar DataSource for a REST endpoint instead.

While both of these caches reduce the time it takes to process your GraphQL response (fetching from cache is noticeably faster than from the database), client-side caching reduces the number of requests that have to be made to your server. Most notably, the InMemoryCache lets you reuse one query across different places in your site (like different components in React) while only fetching the query once.

Because the client-side cache is normalized, it also means if a resource is already cached when fetched through one query, you can potentially avoid refetching it when it's requested with another query. For example, if you fetch a list of Users with one query and then fetch a user with another query, your client can be configured to look for the user in the cache instead of making the second query.

It's important to note that while resources cached server-side typically have a TTL, the InMemoryCache does not. Instead, it uses "fetch policies" to determine the behavior of individual queries. This lets you, for example, have a query that always fetches from the server, regardless of what's in the cache.

Hopefully that helps to illustrate that both server-side and client-side caching are useful but in very different ways.