MySQL's Query Cache is incredibly versatile. It’s usually able to store a wide variety of values and return them from the memory (rather than the disk) to improve query execution times. This guide will explore the usages and limitations of query caching.
Slow query performance is a huge thing—so much so that modern database performance optimization techniques are in large part targeted at mitigating slow queries. Surprising? We think not.
Indexes are frequent friends for SELECT queries; however, if we want to use indexes, we must ensure that our database instances use them first. Indexes that are not utilized by our database instances are useless – they waste space and make INSERT, UPDATE, and DELETE queries slower.
Large quantities of data are often stored in MySQL databases. Analysts and DBAs are constantly required to extract records from two or more tables based on specific requirements in order to evaluate that data quickly. This is when JOINS come in handy.
Before InnoDB replaced it, MyISAM was one of the flagship storage engines available in MySQL. However, as time moved on, InnoDB replaced it as MySQL engineers found it to be a better choice.
Finding the ideal database adapter for your python application can be hard. In this article, we'll help you choose the right SQL connector based on your database system and application requirements.
If you are familiar with MySQL, you have probably heard of partitions. Partitions are one of your best friends in regards to query optimization. This article will provide you with a basic overview of partitions to help you understand why they are so important.
In this tutorial, we will be building a web scraper in Python to aggregate data from the top five soccer leagues in the world. Then, we'll use advanced MySQL operations such as dynamic SQL, user variables, and CTEs to analyze the data and create visualizations.
If you have found yourself in the MySQL world (at least for a little while), chances are that you have probably heard about the usage of EXPLAIN. In the MySQL world, this keyword is everywhere.
