Optimizing Performance in Laravel by Centralizing Data Loading

In src/features/users/usersSlice.js, add selectors:

import { createSelector } from 'reselect';

export const selectUsers = (state) => state.users.entities;

export const selectActiveUsers = createSelector(
  [selectUsers],
  (users) => users.filter((user) => user.isActive)
);

   use Illuminate\Support\Facades\DB;

   public function handle()
   {
       DB::transaction(function () {
           $this->order->update(['status' => 'processing']);
           $this->order->process();
       });
   }

Retry transactions that fail due to deadlocks:

   protected $middlewareGroups = [
       'web' => [
           // Other middleware
           \App\Http\Middleware\ShareUserPreferences::class,
       ],
   ];

The userPreferences variable is now accessible in all views:

• Flexibility: Admins can adjust the number of items per page dynamically without modifying code.
• User Experience: Tailor pagination to the needs of the application or dataset size.
• Scalability: Easily adapt to changes as your application grows.

You’ve successfully implemented a configurable pagination system in Laravel. By combining database-driven settings with Laravel’s pagination tools, you’ve created a flexible and maintainable solution that adapts to your application’s needs in real time.

Imagine an application where multiple controllers require access to:

• User Roles: Determine if a user has admin or moderator privileges.
• Feature Toggles: Enable or disable features like file uploads.
• App-Wide Configurations: Share global preferences like application mode or API limits.

   php artisan make:provider CustomDataServiceProvider

Add the newly created provider to the providers array in config/app.php:

   namespace App\Providers;

   use Illuminate\Support\ServiceProvider;

   class SharedDataServiceProvider extends ServiceProvider
   {
       public function register()
       {
           $this->app->singleton('sharedData', function () {
               return (object) [
                   'maxUploads' => 20, // Maximum file uploads allowed
                   'apiRateLimit' => 100, // API requests per minute
                   'theme' => 'dark', // Default UI theme
               ];
           });
       }
   }

Add the provider to the providers array in config/app.php:

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• Creating Horizontal and Vertical Menus with Flexbox
• Managing Menu Overflow and Adaptive Menu Designs

• Using flex-wrap for Wrapping Flex Items
• Dealing with Overflow and Overflow Prevention

• Reflect.set: Sets the value of a property on an object.

  const person = { name: 'Alice', age: 25 };
  Reflect.set(person, 'age', 26);
  console.log(person.age); // Output: 26

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Rendering long lists can be expensive, but React provides tools to optimize this process.

Using React.Fragment can help reduce the number of nodes in the DOM, which can improve performance, especially when rendering large lists.

• Install mdadm:

On Debian/Ubuntu-based systems:

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mysql -u your_username -p your_database_name < backup.sql

• backup.sql: The SQL file containing the exported data.

[mysqld]
slow_query_log = ON
slow_query_log_file = /path/to/slow-query.log
long_query_time = 2

This configuration logs queries that take longer than 2 seconds to execute.

• Locks: MySQL automatically locks the necessary rows during transactions to prevent conflicts. However, you can manually acquire locks using the LOCK TABLES command if needed.
• Deadlocks: Occur when two or more transactions block each other. MySQL automatically detects deadlocks and rolls back one of the transactions.

LOCK TABLES accounts WRITE;

-- Perform operations here

UNLOCK TABLES;

Managing a MySQL database involves understanding the size of your database and identifying which tables consume the most space. This knowledge is crucial for optimizing performance and planning for storage. In this tutorial, you'll learn how to view the size of a MySQL database and how to find the largest table within it.

• A MySQL server installed and running.
• Access to the MySQL command-line client or a graphical tool like MySQL Workbench.
• Basic knowledge of SQL queries.