Unraveling MySQL's Aggregations: The Power of MAX() on COUNT() Are you looking to go beyond simple counts in your MySQL queries? Have you ever needed to identify the top performer, the most popular item, or the group with the highest number of occurrences? If so, you've likely bumped into the need to combine aggregate functions, specifically finding the MAX() value among a set of COUNT() results. While seemingly straightforward, directly applying MAX() to COUNT() in a single SELECT statement can be tricky due to how SQL processes aggregations. This post will demystify this powerful technique, showing you exactly why and how to correctly implement it using subqueries. The Challenge: Why SELECT MAX(COUNT()) Doesn't Directly Work Let's imagine you have an orders table and you want to find the customer_id that has placed the most orders. Your first thought might be: -- This won't work directly as intended! SELECT MAX(COUNT(order_id)) FROM orders GROUP BY customer_id; Th...