Count queries are probably the most-used aggregate queries in a relational database. Counting is a fundamental operation required for many CRUD applications like sorting, pagination, and searching. But counting records can become terribly slow as your dataset grows. Fortunately, there are strategies for dealing with this problem. This article will show you a few approaches.
Since we are just exploring count queries, we do not need an extensive data setup. We can create a simple table with just one column. You can do that with the commands below: