apollo-datasource-mongo
v0.1.11
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Apollo data source for MongoDB Client and Mongoose
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Apollo data source for MongoDB
npm i apollo-datasource-mongo
OR
yarn add apollo-datasource-mongo
This package uses DataLoader for batching and per-request memoization caching. It also optionally (if you provide a ttl
), does shared application-level caching (using either the default Apollo InMemoryLRUCache
or the cache you provide to ApolloServer()**). It does this only for these three methods:
** Tested with Redis only
Contents:
This package works with either one of the following npm packages:
- mongodb: https://www.npmjs.com/package/mongodb
- mongoose: https://www.npmjs.com/package/mongoose
Demo
- https://glitch.com/~apollo-datasource-mongo
Usage
Basic
The basic setup is subclassing MongoDataSource
, passing your collection to the constructor, and using the API methods:
import { MongoDataSource } from 'apollo-datasource-mongo'
export default Class Users extends MongoDataSource {
getUser(userId) {
return this.users.loadOneById(userId)
}
}
and:
import Users from './data-sources/Users.js'
import { users } from './your-mongo-schema-folder'
const server = new ApolloServer({
typeDefs,
resolvers,
dataSources: () => ({
db: new Users({ users })
})
})
The collection is available at this.users
(e.g. this.users.update({_id: 'foo, { $set: { name: 'me' }}})
). The request's context is available at this.context
. For example, if you put the logged-in user's ID on context as context.currentUserId
:
class Users extends MongoDataSource {
...
async getPrivateUserData(userId) {
const isAuthorized = this.context.currentUserId === userId
if (isAuthorized) {
const user = await this.users.loadOneById(userId)
return user && user.privateData
}
}
}
If you want to implement an initialize method, it must call the parent method:
class Users extends MongoDataSource {
initialize(config) {
super.initialize(config)
...
}
}
For example, you can also enable debugging and whole cache flushing:
class Users extends MongoDataSource {
initialize(config) {
super.initialize({
...config,
debug: true,
allowFlushingCollectionCache: true // to allow flushing collection's cache***
})
...
}
}
*** By default flushing the collection's cache is not allowed.
Batching
This is the main feature, and is always enabled. Here's a full example:
import { MongoDataSource } from 'apollo-datasource-mongo'
import { users, posts } from './your-mongo-schema-foleder'
class Users extends MongoDataSource {
getUser(userId) {
return this.users.loadOneById(userId)
}
}
class Posts extends MongoDataSource {
getPosts(postIds) {
return this.posts.loadManyByIds(postIds)
}
getUserPostsByQuery(query) {
return this.posts.loadManyByQuery(query)
}
}
const resolvers = {
Post: {
author: (post, _, { dataSources: { users } }) => users.getUser(post.authorId)
},
User: {
posts: (user, _, { dataSources: { posts } }) => posts.getPosts(user.postIds),
lastSevenDaysPosts: (user, _, { dataSources: { posts } }) => posts.getUsersPostsByQuery({
author: user._id,
createdAt: { $gt: (new Date()).getDate() - 7 }
})
}
}
const server = new ApolloServer({
typeDefs,
resolvers,
dataSources: () => ({
users: new Users({ users }),
posts: new Posts({ posts })
})
})
Caching
To enable shared application-level caching, you do everything from the above section, and you add the ttl
option to loadOneById()
:
const MINUTE = 60
class Users extends MongoDataSource {
getUser(userId) {
return this.users.loadOneById(userId, { ttl: MINUTE })
}
async updateUserName(userId, newName) {
await this.users.deleteFromCacheById(userId)
// await this.users.flushCollectionCache() // to flush the whole collection's cache. It needs allowFlushingCollectionCache to be true in the extended config object passed to the initialize method
// N.B.: Flushing the collection cache works only with Redis. It has no effect otherwise.
return this.users.updateOne({
_id: userId
}, {
$set: { name: newName }
})
}
}
const resolvers = {
Post: {
author: (post, _, { dataSources: { users }) => db.getUser(post.authorId)
},
Mutation: {
changeName: (_, { userId, newName }, { users, currentUserId }) =>
currentUserId === userId && users.updateUserName(userId, newName)
}
}
Here we also call deleteFromCacheById()
to remove the user from the cache when the user's data changes. If we're okay with people receiving out-of-date data for the duration of our ttl
—in this case, for as long as a minute—then we don't need to bother adding calls to deleteFromCacheById()
.
API
loadOneById
loadOneById(id, { ttl })
Resolves to the found document. Uses DataLoader to load id
. DataLoader uses collection.find({ _id: { $in: ids } })
. Optionally caches the document if ttl
is set (in whole seconds).
loadManyByIds
loadManyByIds(ids, { ttl })
Calls loadOneById()
for each id. Resolves to an array of documents.
loadManyByQuery
loadManyByQuery(query, { ttl })
Resolves to the found documents. Uses DataLoader to load the query. DataLoader uses sift to filter in-memory arrays using MongoDB query objects. Optionally caches the document if ttl
is set (in whole seconds).
deleteFromCacheById
deleteFromCacheById(id)
deleteFromCacheById(query)
Deletes a document from the cache.
//
flushCollectionCache
flushCollectionCache()
Deletes all collection's documents from the cache.
//