Optimizing Large Data Delivery with Laravel Streaming Responses

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Optimizing Large Data Delivery with Laravel Streaming Responses image

Laravel's streaming response feature enables efficient handling of large datasets by sending data incrementally as it's generated, reducing memory usage and improving response times.

Route::get('/stream', function () {
return response()->stream(function () {
foreach (range(1, 100) as $number) {
echo "Line {$number}\n";
ob_flush();
flush();
}
}, 200, ['Content-Type' => 'text/plain']);
});

Let's explore a practical example of streaming a large data export:

<?php
 
namespace App\Http\Controllers;
 
use App\Models\Order;
use Illuminate\Support\Facades\DB;
 
class ExportController extends Controller
{
public function exportOrders()
{
return response()->stream(function () {
// Output CSV headers
echo "Order ID,Customer,Total,Status,Date\n";
ob_flush();
flush();
 
// Process orders in chunks to maintain memory efficiency
Order::query()
->with('customer')
->orderBy('created_at', 'desc')
->chunk(500, function ($orders) {
foreach ($orders as $order) {
echo sprintf(
"%s,%s,%.2f,%s,%s\n",
$order->id,
str_replace(',', ' ', $order->customer->name),
$order->total,
$order->status,
$order->created_at->format('Y-m-d H:i:s')
);
 
ob_flush();
flush();
}
});
}, 200, [
'Content-Type' => 'text/csv',
'Content-Disposition' => 'attachment; filename="orders.csv"',
'X-Accel-Buffering' => 'no'
]);
}
}

Streaming responses enable efficient handling of large datasets while maintaining low memory usage and providing immediate feedback to users.

Harris Raftopoulos photo

Senior Software Engineer • Staff & Educator @ Laravel News • Co-organizer @ Laravel Greece Meetup

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