Optimizing Large Data Delivery with Laravel Streaming Responses

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:

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.

The post Optimizing Large Data Delivery with Laravel Streaming Responses appeared first on Laravel News.

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