Laravel chunk() vs cursor() vs lazy() — Handle Large Data Without Crashing Your Server
The article discusses methods in Laravel for handling large datasets without causing server issues. It compares four approaches: chunk(), chunkById(), cursor(), and lazy(), each with its own advantages and use cases. The author shares personal experiences with these methods to illustrate their effectiveness in preventing memory errors and timeouts.
- ▪Using User::all() can lead to memory errors when processing large datasets.
- ▪The chunk() method processes data in batches, while chunkById() is safer for modifying records.
- ▪The cursor() method is the most memory efficient, processing one row at a time.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3955428) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } codebysuraj Posted on May 29 Laravel chunk() vs cursor() vs lazy() — Handle Large Data Without Crashing Your Server #laravel #php #webdev #beginners If you've ever tried to process thousands of rows in Laravel and got a memory error or server timeout — this article is for you. I learned this the hard way when a large CSV export caused Apache timeout errors in production. Here's what I found out.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
