Handling Race Conditions in Laravel Jobs and Queues

Apply conditions to related models during eager loading:

   $posts = Post::with(['comments' => function ($query) {
       $query->where('is_approved', true);
   }])->get();

   foreach ($posts as $post) {
       foreach ($post->comments as $comment) {
           echo $comment->content;
       }
   }

In Laravel applications, certain data—such as global settings, user roles, or feature toggles—is accessed frequently across multiple parts of the app. If not handled efficiently, repeated queries for the same data can impact performance. Centralizing data loading ensures that this data is retrieved once and reused wherever needed, improving performance and maintainability.

This tutorial demonstrates how to optimize data loading in Laravel by using centralized techniques such as caching, service providers, and the singleton pattern.

Use a singleton pattern or event listener to refresh the data dynamically. For example, reset shared data when global settings are updated:

   public function boot()
   {
       Event::listen('settings.updated', function () {
           $globalPreferences = [
               'api_limit' => Setting::get('api_limit'),
               'app_mode' => Setting::get('app_mode'),
               'feedback_form_enabled' => Setting::get('feedback_form_enabled'),
           ];

           view()->share('globalPreferences', $globalPreferences);
       });
   }

For this tutorial, imagine an application where:

• Application Limits: Data like maximum uploads or API rate limits are shared globally.
• Feature Toggles: Enable or disable application features dynamically.
• Global Preferences: Shared preferences such as the preferred user interface theme.

MySQL provides different isolation levels to control how transactions interact with each other. Each level offers a different balance between data consistency and performance:

SET TRANSACTION ISOLATION LEVEL REPEATABLE READ;