Laravel 13: How to Prevent Cache Stampedes Using Atomic Locks

Laravel 13 How to Prevent Cache Stampedes Using Atomic Locks

Hi, in this blog post, we’ll discuss how to avoid cache stampedes with the use of Atomic Locks in a Laravel 13 application. Atomic Locks are useful in making sure that only one request generates and caches the expensive data.

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Prerequisite:

1. Composer (latest Version)

2. Laravel version 13

Steps to Prevent Cache Stampedes Using Atomic Locks in Laravel 13:

Step 1: Install Laravel 13

Step 2: Set Database Details and Migrate

Step 3: Configure Cache Driver

Step 4: Create Routes

Step 5: Create Controller

Step 6: Create Blade File

Step 7: Test Project

Now, let’s see all the steps with the detailed information.

Step 1: Install Laravel 13

In order to test this demo, you need a new project; create one with the following command.

composer create-project laravel/laravel:^13.0 atomic-lock-demo

Step 2: Set Database Details and Migrate

Set the database details in .env with your own credentials and execute the following command to migrate the database.

php artisan migrate

Step 3: Configure Cache Driver

Atomic locks are supported with Cache Drivers such as Redis, Memcached, DynamoDB, Database, File, and Array.

Update your .env file

CACHE_STORE=file

You can also use Redis:

CACHE_STORE=redis

Step 4: Create Routes

Now, create routes for generating reports.

routes/web.php

<?php
use Illuminate\Support\Facades\Route;
use App\Http\Controllers\ReportController;
Route::get('/', [ReportController::class, 'index']);

Step 5: Create Controller

Here, we will create ReportController. Use the command to create the controller.

php artisan make:controller ReportController

app/Http/Controllers/ ReportController.php

<?php
namespace App\Http\Controllers;
use Illuminate\Support\Facades\Cache;
class ReportController extends Controller
{
    /**
     * Generate report and cache the result
     */
    public function index()
    {
        $report = Cache::get('report_data');
        if (!$report) {
            $lock = Cache::lock('report_generation_lock', 10);
            if ($lock->get()) {
                try {
                    // Simulate expensive operation
                    sleep(5);
                    $report = [
                        'total_users' => 1200,
                        'total_orders' => 4500,
                        'revenue' => '$50,000'
                    ];
                    Cache::put('report_data', $report, 60);
                } finally {
                    $lock->release();
                }
            } else {
                return "Report is being generated by another request. Please try again.";
            }
        }
        return view('report', compact('report'));
    }
}

Step 6: Create Blade File

Now, create a blade file.

resources/views/report.blade.php

<!DOCTYPE html>
<html>
<head>
    <title>Atomic Lock Example</title>
</head>
<body>
<h2>Dashboard Report</h2>
<ul>
    <li>Total Users : {{ $report['total_users'] }}</li>
    <li>Total Orders : {{ $report['total_orders'] }}</li>
    <li>Revenue : {{ $report['revenue'] }}</li>
</ul>
</body>
</html>

Step 7: Test Project 

Now, run the Laravel app:

php artisan serve

Go to your web browser and enter the following URL to see the output of the app:

http://localhost:8000/ 

If multiple users hit the page simultaneously, Laravel atomic locks ensure that a single request generates a report and caches it. All other requests need to wait until the cache is available to prevent cache stampedes.

Conclusion:

It is very easy to create scalable Laravel applications by leveraging caching techniques and atomic locks. Regardless of whether you are caching reports, dashboard data, API data, or complex queries, using atomic locks is an extremely easy and efficient method of safeguarding your application.

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FAQ

1. What is a Cache Stampede?

Cache stampede means a situation in which there are many requests trying to regenerate a cache entry that expires.

2. What are atomic locks in Laravel?

Atomic locks are synchronization techniques that enable only one process to execute certain code at a particular point in time.

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Laravel 13: Multi-Tenant SaaS Application Example

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