An implementation of Apollo's datasource for ArangoDb
$ npm install arango-datasource
A "general purpose" datasource that's mainly suitable for querying the database using AQL.
Requires passing the target database instance from arango-js
// index.js
const { ArangoDataSource } = require('@danwkennedy/arango-datasource');
const { Database } = require('arango-js');
// initialize the db
const database = new Database('http://my.database.url');
// initialize the server
const server = new ApolloServer({
typeDefs,
resolvers,
cache,
context,
dataSources: () => ({
arangoDataSource: new ArangoDataSource(database)
})
});
Extend this class to create more targetted DataSources according to your needs:
// UserDataSource.js
const { ArangoDataSource } = require('@danwkennedy/arango-datasource');
module.exports = class UserDataSource extends ArangoDataSource {
// Pass the user collection to the DataSource
constructor(db, collection) {
super(db);
this.collection = collection;
}
// Build the query and call super.query
async getUsers() {
const query = aql`
FOR user in ${this.collection}
return user
`;
return await this.query(query);
}
}
Basic query caching is available. Cache keys for queries are simply the query object's hash value using object-hash
. This type of caching is mainly useful when using a persisted cache across machines (i.e. Redis instead of the default in memory cache) and works best for fetching common data that doesn't change very often.
Uses the DataLoader class to add batching and caching to fetching Arango Documents by their Id. This is especially useful as a NodeDataSource
as ArangoDb's default Id structure prepends the collection name to the _key
making it so you don't need to pass the target collection the document datasource.
// index.js
const { ArangoDocumentDataSource } = require('@danwkennedy/arango-datasource');
const { Database } = require('arango-js');
// initialize the db
const database = new Database('http://my.database.url');
// initialize the server
const server = new ApolloServer({
typeDefs,
resolvers,
cache,
context,
dataSources: () => ({
NodeDataSource: new ArangoDocumentDataSource(database)
})
});
// node/resolver.js
module.exports = {
Query: {
node: async (_, { id }, { dataSources }) => {
return dataSources.NodeDataSource.load(id);
},
},
}
DataSources fetch records from the database. Managers create/update/delete records from the database.
Manages the lifecylc of documents in a document collection.
// index.js
const { DocumentManager } = require('@danwkennedy/arango-datasource');
const { Database } = require('arango-js');
// initialize the db
const database = new Database('http://my.database.url');
const userCollection = database.collection('users');
// initialize the server
const server = new ApolloServer({
typeDefs,
resolvers,
cache,
context,
dataSources: () => ({
userDocumentManager: new DocumentManager(userCollection)
})
});
Manages the lifecycle of edges in a graph.
// index.js
const { EdgeManager } = require('@danwkennedy/arango-datasource');
const { Database } = require('arango-js');
// initialize the db
const database = new Database('http://my.database.url');
const userFavoriteFoodCollection = database.edgeCollection('user_favorite_food');
// initialize the server
const server = new ApolloServer({
typeDefs,
resolvers,
cache,
context,
dataSources: () => ({
userDocumentManager: new EdgeManager(userFavoriteFoodCollection)
})
});
The main difference between the EdgeManager
and the DocumentManager
is the EdgeManager
requires the _to
and _from
ids be passed. It also smooths over some difficulties with removing edges where we might not know the edge's id. In that case, we can pass the _from
and _to
ids and the manager will do the query to find the correct edge.