In this episode, we dive into handling really large datasets with Eloquent in Laravel using chunking, which is essential if you ever need to deal with tons of records without running into memory issues.
We start by simulating a huge dataset: 200,000 posts distributed over 20 users. The demo project has already been seeded with this data so we can really put Eloquent to the test!
First, we try the usual ways to iterate through the records — grabbing all posts and looping over them with simple foreach
or the each
method. Both approaches show their downsides immediately, as grabbing all 200,000 posts at once quickly exhausts the available memory and doesn’t give us any output.
To solve this, we switch gears and use Eloquent’s chunk()
method. With chunking, Eloquent fetches a manageable batch of results (like 1,000 at a time), does your processing, clears that batch from memory, and then moves on to the next. This way, we steadily and efficiently work through all the records in the database, without maxing out the server’s memory.
We walk through how to rewrite the command to use chunk()
, iterating over each batch with each()
or a plain foreach
loop, and demonstrate how memory stays under control while successfully processing all records.
By the end, you’ll see how chunking makes handling massive datasets in Laravel not just possible, but smooth and safe!