How to use JOIN with Subquery In MySQL
Another approach involves using a JOIN operation with a subquery that calculates the average value. This approach can be advantageous in more complex scenarios where additional conditions or joins are needed.
SELECT t1.*
FROM products t1
JOIN (SELECT AVG(revenue) AS avg_revenue FROM products) t2
WHERE t1.revenue > t2.avg_revenue;
Output:
+----+-------------+---------+
| id | product_name| revenue |
+----+-------------+---------+
| 2 | Product B | 2200.75 |
| 4 | Product D | 2500.00 |
| 6 | Product F | 2100.50 |
+----+-------------+---------+
Explanation: Here, a subquery returns the average revenue (AVG(revenue)) for all products within the products table. This subquery is adapted as t2. The main query afterward performs a JOIN operation with the sub-query (t2) on the condition that the revenue (revenue) of each row in the products table (t1) is greater than the average revenue (t2.avg_revenue). Using this method, more complex queries after the scenarios are achievable and are applicable in situations when working with additional conditions or joins are necessary
Show All Rows with an Above-Average Value in MySQL
Finding All Rows with an Above-Average Value in MySQL is easy because in this article we will learn some methods to identify rows in a dataset where values exceed the dataset’s average.
Using MySQL we will discuss two approaches using subqueries with average calculations and through JOIN operations with subqueries. We’ll implement the method with the help of understanding examples and so on.