Query Optimization Development Tutorials, Guides & Insights

   {
       "data": [
           { "id": 1, "title": "Post 1" },
           { "id": 2, "title": "Post 2" }
       ],
       "meta": {
           "current_page": 1,
           "per_page": 10,
           "total": 50,
           "last_page": 5
       },
       "links": {
           "next": "http://example.com/api/posts?page=2",
           "previous": null
       }
   }

• Cursor-based pagination is faster for large datasets since it avoids calculating offsets.
• Instead of page numbers, it uses a cursor (e.g., a timestamp or ID) to fetch the next set of results.

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;
       }
   }

SHOW INDEX FROM users;

Indexes work by creating a separate data structure that holds the indexed columns and a pointer to the actual data in the table. This allows MySQL to quickly locate and retrieve the requested data without scanning every row in the table.

The slow query log records queries that exceed a specified execution time. Analyzing this log can help you identify and optimize slow queries.

To enable the slow query log, add the following lines to your my.cnf or my.ini file:

Query caching stores the results of a query, reducing execution time for repeated queries with the same parameters.

• Enable query caching in your MySQL configuration by setting query_cache_size and query_cache_type.
• Ensure your application logic allows for caching (i.e., queries are identical).