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Laravel Performance Hack: Process Huge CSVs 3500x Faster!

2.6K views· 105 likes· 5:29· Jun 22, 2025

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If you're working with large CSV files in Laravel, chances are you're doing it the slow way. In this video, I’ll show you how switching from a regular Collection to Laravel’s LazyCollection can make your CSV processing up to 3500x faster — with just one simple change! We’ll run real-world benchmarks, test performance scenarios, and break down why LazyCollections are so powerful when dealing with large datasets. 🚀 What you'll learn: - The difference between Collection vs LazyCollection - How to handle large CSV files without killing your server - Real benchmark results comparing both approaches === OFFER === GET 15% DISCOUNT ON ALL PLANS OF CLOUDWAYS HOSTING FOR 3 MONTHS https://unified.cloudways.com/signup?id=1029148&coupon=LARATIPS&data1=LARA1&utm_content=LARA1&utm_source=YouTube === Important Links === Fonts, extensions I use, and Support Laratips links: https://bit.ly/m/laratips === Video Related Links === #laravel #php #laraveltip #laratips

About This Video

Hey, what’s up guys—welcome to Lara Tips. In this video I’m showing you a super practical Laravel performance hack for processing huge CSV files (like 100,000 rows) without killing your server. I start with the traditional approach: open the CSV, loop line-by-line, push every row into a normal Laravel Collection, close the file, and return the whole thing. It works, but the problem is obvious—it loads everything into memory even if you only need the first few records. Then I switch just one thing: instead of returning a Collection, I return a LazyCollection using LazyCollection::make and PHP generators (yield). The code stays almost identical, but now the data is not loaded into memory all at once—items are pulled only when you actually access them. I run real benchmarks using Illuminate\Support\Benchmark, and the difference is wild: grabbing the first record goes from ~127ms to ~0.027ms (thousands of times faster). I also test taking 10 records and filtering “email verified” users, and LazyCollection stays massively faster. The takeaway: for large CSVs, use LazyCollections so you only pay the cost for what you actually read.

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