SQL (structured query language) is a unique programming language for storing, manipulating, and retrieving data from a database. The language is applied in multiple relational database systems, including Postgres, Oracle, MySQL, and SQL Server, among others. Using SQL statements, developers can handle functional database operations like updating, creating, and deleting data.
With increasing data and technology becoming complex, it is crucial now to optimize MySQL databases to lower your infrastructure costs and deliver the best end-user experience. By optimizing your database storage, professionals will quickly identify bottlenecks, eliminate guessing games, and target insufficient operations by reviewing query execution plans.
Below are a few ways of optimizing your database storage in MySQL.
Profile the server workload
To fully understand how your server works, you should first review its workload. This will reveal the most expensive and slowest queries so you can optimize them. Remember that your most important metric in MySQL is time because you want the completion of a query to be almost instant when issued against your server.
Understand your crucial resources
All databases rely on four crucial resources; CPU, memory, network, and disk. Overwhelming any of these resources will create an inconsistent and weak server that leads to