Building a Custom Pagination System for API Responses

   $user = User::where('email', $email)->first();

Use the {{ }} syntax in Blade templates to automatically escape user input:

• Query Builder can handle complex joins and aggregates more efficiently.
• It minimizes memory usage for large datasets.

• Always check for N+1 issues using tools like Debugbar or Telescope.
• Eager load relationships with with() for related data you know you’ll need.
• Use lazy loading sparingly for conditional data fetching.
• Test your queries regularly to ensure they are optimized.

Use Laravel's View::share method to make data available to all views.

Open or create a service provider like AppServiceProvider:

   resources/lang/en/messages.php
   resources/lang/es/messages.php

Example content for messages.php:

   namespace App\Http\Controllers;

   class FileController extends BaseController
   {
       public function upload()
       {
           if (!$this->canUploadFiles()) {
               return redirect()->back()->with('error', 'File uploads are disabled.');
           }

           // Handle file upload logic here
       }
   }

• Centralized Logic: Common functionality is defined in one place, reducing code duplication.
• Ease of Maintenance: Updates to shared logic automatically apply to all child controllers.
• Improved Readability: Child controllers remain focused on specific actions, while shared concerns are handled in the Base Controller.

No preview available for this content.

For example, to create a composite index on first_name and last_name:

CREATE INDEX idx_name ON users(first_name, last_name);

The MySQL Performance Schema is a powerful tool for monitoring database performance. It provides a wealth of information about the execution of SQL statements, memory usage, and other performance-related data.

Performance Schema is enabled by default in MySQL 5.6 and later. To verify it's enabled, run the following query:

EXPLAIN SELECT * FROM users WHERE user_id = 1;

The output provides details like:

SELECT name, salary
FROM employees
WHERE department = 'Engineering' AND salary > 70000
ORDER BY salary DESC;

CREATE INDEX idx_dept_salary
ON employees (department, salary);