Query Optimization Development Tutorials, Guides & Insights

• Customize API pagination to fit front-end requirements with tailored JSON structures.
• Use cursor-based pagination for performance improvements in large datasets.
• Add flexibility with sorting and filtering parameters.
• Test your pagination system thoroughly for edge cases.

Building a custom pagination system for API responses in Laravel ensures that your application meets the specific needs of front-end clients and scales effectively. By combining metadata, flexible queries, and cursor-based pagination, you can deliver optimized and user-friendly APIs.

   public function author()
   {
       return $this->belongsTo(User::class)->withDefault([
           'name' => 'Guest Author',
       ]);
   }

Result: Avoids null errors and provides default values when no author exists.

CREATE INDEX idx_name ON users(first_name, last_name);

To view existing indexes on a table, use the SHOW INDEX command:

SELECT * FROM performance_schema.events_statements_summary_by_digest
ORDER BY SUM_TIMER_WAIT DESC
LIMIT 10;

MySQL Workbench provides a graphical interface for monitoring database performance. It includes tools for visualizing server status and performance metrics.

The output provides details like:

• Select Type: Type of query (simple, primary, subquery, etc.).
• Table: The table accessed by the query.
• Type: Type of access (e.g., index, ALL, ref, const).
• Possible Keys: Indexes considered by the optimizer.
• Key: Index used for the query.
• Rows: Estimated number of rows examined.
• Extra: Additional information, such as whether a temporary table or file sort is used.