Name: Install the DataLoader Package
Uploaded: 2021-11-30T23:43:21-06:00
Description: The GraphQL Foundation has an official DataLoader package that is well-maintained and more feature complete than what we've built so far.

Detect Scaling Issues When Loading Data In a GraphQL API

Cache Database Requests Across GraphQL Resolvers

Batch Database Requests with a GraphQL API

Refactor the Data Loader into a Reusable Class

Create a New Cache on Every GraphQL Request Using Apollo Context

Install the DataLoader Package

Fetching an Item by ID with a GraphQL DataLoader

Fetching Many Items by Key with GraphQL DataLoaders

Count the Items in a Collection By Reusing a Data Loader

Count the Items in a Collection with a Custom Data Loader

Use GraphQL Data Loaders to Prevent Scaling Issues by Batching & Caching Database Requests

The GraphQL Foundation has an official DataLoader package that is well-maintained and more feature complete than what we've built so far.

https://app.egghead.io/api/v1/lessons/apollo-install-the-dataloader-package/subtitles

Instructor: [0:00] We've now built a functional DataLoader step by step showing exactly why each step is needed. This API is very close to the official DataLoader package maintained by the GraphQL Foundation, or we can install with npm install --save DataLoader. Import the DataLoader package, const DataLoader = require('dataloader').

[0:25] Then we can delete the big class we've been writing. The API matches up perfectly, so we'll already be using this DataLoader package for our userLoader. If you hover over, you can see the type signature is being pulled from the package, which we did not write ourselves. That's going to be SELECT ALL FROM users WHERE ID IN (IDs).

[0:51] We have one request for posts and one request for all of the users at once.

Install the DataLoader Package

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Use GraphQL Data Loaders to Prevent Scaling Issues by Batching & Caching Database Requests