Efficient Large Data Handling in Laravel ??
Faisal zaki
PHP & Laravel Developer | Building Scalable Web Solutions | API & Database Expert | Solving Backend Challenges with Optimized Architecture
Efficient Large Data Handling in Laravel ??
Handling large datasets in Laravel? ?? Using get() might crash your server due to memory overload. Instead, optimize performance with:
? chunk() – Splits results into smaller batches, reducing memory usage.
User::chunk(500, function ($users) {
foreach ($users as $user) {
// Process each user
}
});
?? Best for: Bulk processing where each batch is independent.
? cursor() – Uses a generator to iterate over records one at a time.
foreach (User::cursor() as $user) {
// Process user without loading all data into memory
}
?? Best for: Processing huge datasets with minimal memory footprint.
? lazy() – Works like cursor(), but returns a collection.
User::lazy()->each(function ($user) {
// Process each user
});
?? Best for: When you need collection methods but want to save memory.
? Performance Tip: If you’re working with millions of rows, combine chunk() with database indexing for even faster results!
How do you handle large data in Laravel? Let's discuss! ??
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