Database Performance Development Tutorials, Guides & Insights

   $userIds = User::where('active', true)->pluck('id');
   $posts = Post::whereIn('user_id', $userIds)->get();

For large datasets, paginate results instead of loading everything:

For models with multiple relationships, use nested eager loading:

   $posts = Post::with(['author', 'comments.user'])->get();

   foreach ($posts as $post) {
       echo $post->author->name;

       foreach ($post->comments as $comment) {
           echo $comment->user->name;
       }
   }

Indexes in MySQL play a crucial role in optimizing database performance by allowing faster data retrieval. By understanding how indexes work and how to use them effectively, you can significantly improve the performance of your queries and overall database operations. This tutorial will guide you through the fundamentals of MySQL indexes and how to implement them.

• Basic knowledge of MySQL and SQL operations.
• Access to a MySQL server for testing and experimentation.

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: