Course

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

1
Detect Scaling Issues When Loading Data In a GraphQL API
1m 51s
2
Cache Database Requests Across GraphQL Resolvers
1m 28s
3
Batch Database Requests with a GraphQL API
2m 6s
4
Refactor the Data Loader into a Reusable Class
1m 51s
5
Create a New Cache on Every GraphQL Request Using Apollo Context
48s
6
Install the DataLoader Package
55s
7
Fetching an Item by ID with a GraphQL DataLoader
42s
8
Fetching Many Items by Key with GraphQL DataLoaders
1m 10s
9
Count the Items in a Collection By Reusing a Data Loader
39s
10
Count the Items in a Collection with a Custom Data Loader
50s

Fetching an Item by ID with a GraphQL DataLoader

Name: Fetching an Item by ID with a GraphQL DataLoader
Uploaded: 2021-12-01T00:01:52-06:00
Duration: 42 s
Description: The DataLoader class is reusable and creating a new loader is as simple as changing the batch function

InstructorJacob Paris

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Published 3 years ago

Updated 3 years ago

The DataLoader class is reusable and creating a new loader is as simple as changing the batch function

Instructor: [0:00] Let's take advantage of the reusability of the DataLoader and clone our userLoader to make a postLoader. Make a PostResolver that takes an ID as an argument and calls postloader.load. Then to the schema, add post, ID string, returning a post.

[0:26] Try that new query out. Look at ID 2 here. We'll try to query that one specifically. Give ID 3 a shot, and everything is working wonderfully.

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

Fetching an Item by ID with a GraphQL DataLoader

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