How to make web app more optimized using MySQL

What is MySQL?

->MySQL is one of the top most used databases and provides comprehensive support for every application development need, It is an open-source relational database management system. Its name is a combination of "My", the name of co-founder Michael Widenius's daughter, and "SQL", the abbreviation for Structured Query Language.

 

Advantage Of Using MySQL

->Data Security

-> On-Demand Scalability

-> High Performance

->24x7 Availability

->Transaction Support

-> Open Source

->Provides different storage engines

 

How to make your web app more secure and private?

->Drop the test Database

The test database is fully accessed by all users by default, It can be a common target for attackers, Test Database is by default installed by the MySQL server package as part of the mysql_install_db process.

 

->Do not run MySQL with root-level privileges

The root user is super user account that has all privileges and can do anything. Attackers can do audits by hijacking the root user account.

So always MySQL should be run under a specific, newly-created user account with the necessary permissions to run the service.

 

->Use the proper engine while creating a database

The various storage engines provided with MySQL are designed with different use cases in mind. Some engines are transaction-safe, some supports foreign key, and some of them uses row-level locking 

and so on, So use the storage engine carefully while creating a Database

 

->Disable SHOW DATABASES

SHOW DATABASES lists the databases on the MySQL server host. It will help attackers to fetch our database table details.

 

->Use Views as much as possible

 The table allows to perform Insert, update, delete and show the data while views only allow viewing the data That's why for secure data try to use views instead of tables.

 

How to make your web app more optimized?

->Query Optimization

· Avoid using multiple OR in the FILTER predicate

· Avoid too many JOINs

· Avoid using SELECT DISTINCT

· Use SELECT fields instead of SELECT *

· Avoid using a nested subquery

· Create joins with INNER JOIN (not WHERE)

· Use wildcards at the end of a phrase only

 

->Indexing Column or set of Columns

· Add index of columns that are used in where clause

· Add Fulltext Indexing instead of multiple where, Or where clauses

· Remove unused indexing

 

->Use Procedures, Functions, and Triggers

Use Procedures to avoid using nested subqueries, Functions to avoid manual calculations before showing the data, and use triggers to perform other operations while doing insert, update or delete operations.

 

->Use column DataTypes carefully

As different data types have their storage capacity and consume storage differently 

for example, Tiny text consumes 1byte overhead whereas LONGTEXT takes 4-Bytes overhead

 

Top Companies Who Use MySQL in their tech stack:

· YouTube

· Facebook

· Amazon

· Twitter

· Netflix

· Udemy

· Uber

· Shopify

· Pinterest

· Airbnb

and more than 5746+ companies.

 

Conclusion: The best methods for database optimization are described in depth in this article, along with some useful MySQL speed-tuning advice that every developer should be aware of. It's a thorough manual for backend developers who are concerned about their subpar database performance and require some practical methods to improve MySQL databases from the ground up.

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