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Updated in [February 21st, 2023]
Most developers would raise an eyebrow if they saw database queries being done in a for-loop, but GraphQL provides just enough abstraction that it isn't always intuitive exactly how many times each resolver fires at scale, nor is it obvious how to batch operations efficiently and still return the correct results to the correct consumer
You'll learn how to use the GraphQL Data Loader pattern to improve the performance of your application, and solve scaling issues before they become a problem.
To do this, we'll first implement our own naive version of the pattern to understand why the API is shaped how it is. Then we will switch over to the official DataLoader package and explore the benefits further.
Follow Along
With just a couple of clicks, you'll be able to set up a Gitpod to follow along and optimize a GraphQL API as you work through the course. Navigate to the GitHub Repository and get started!
Check out the Gitpod here!
Skills you'll Gain
Implement a cache layer to optimize your requests
Batch requests so your Database isn't overloaded
Build a performant GraphQL API
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
GraphQL Data Loaders is a powerful tool for developers to optimize their applications and prevent scaling issues. This course will teach learners how to use the GraphQL Data Loader pattern to improve the performance of their application and solve scaling issues before they become a problem. Learners will gain the skills to implement a cache layer to optimize their requests, batch requests so their Database isn't overloaded, and build a performant GraphQL API. They will also learn how to use the official DataLoader package to explore the benefits further. With just a couple of clicks, learners will be able to set up a Gitpod to follow along and optimize a GraphQL API as they work through the course.
