9/23/2023 0 Comments Where clause using count![]() Please note, it is important to use null in case IF condition fails else even non-matching rows are counted. Else it is not counted (assigned as NULL). So MySQL, counts only those rows where product is A. Our condition is to match rows where product = A. Let us look at the above query in detail.Ĭount(*) counts all rows in table to give total count.Ĭount(if(product=’A’,1,null)) as A_count – when we use an IF condition inside count function, it will only count rows where condition is true. mysql> select count(*) as total_count,Ĭount(if(product='A',1,null)) as A_count,Ĭount(if(product='B' and amount>200,1,null)) as B_count Here is the SQL query to accomplish the above. Let us say you want total count, count of product A orders, and count of product B orders with amount > 200 in single query. Mysql> insert into product_sales(id, product, order_date, amount)Īlso read : How to Use CASE statement in MySQL Let us say you have the following table product_sales(id, product, order_date, amount) mysql> create table product_sales( Here are the steps to get multiple counts with different conditions in single MySQL query. Multiple Counts with Different Conditions in single MySQL query ![]() In this article, we will look at how to get multiple counts with multiple conditions in MySQL. You can easily get multiple counts with different conditions or criteria in a single query in MySQL, using IF or CASE statements.
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