In this episode, we dive into the idea of 'chunking' your data for improved performance, especially when working with large collections that would otherwise be too heavy to load all at once. Rather than trying to load every record's details up front, we focus on just grabbing the IDs of our records and splitting them into manageable chunks—think of it like slicing a big dataset into smaller, bite-sized pieces.
You'll see how we set up an ArticleIndex
Livewire component, and instead of fetching all the article data, we only pull IDs and chunk them in groups of 10. We then walk through how this collection of ID chunks works—it's like pagination, but lighter and more flexible, since we only bring in the full record details when we actually need them.
We implement a 'Load More' button that allows us to incrementally load new chunks as the user asks for more content, all without overloading the browser or the back-end. By tracking our chunk/page index, we make sure users only fetch what's needed, when it's needed.
At the end, you’ll see how we avoid issues like re-loading chunks that don’t exist, and set things up for even more seamless loading using something like the Intersection Observer API in later episodes. Next up, we'll focus on pulling actual records for each chunk and getting them displayed on the page!