SQL Practice Problem

Total sales amount

Easy Aggregation

Schema and sample data

Orders
order_idcustomer_idamount
1101120.00
210275.50
3101200.00
410349.99
5102310.00
610415.25
Show setup SQL (copy to run)
CREATE TABLE Orders (
    order_id    INT PRIMARY KEY,
    customer_id INT NOT NULL,
    amount      DECIMAL(10,2) NOT NULL
);

INSERT INTO Orders (order_id, customer_id, amount) VALUES
(1, 101, 120.00),
(2, 102, 75.50),
(3, 101, 200.00),
(4, 103, 49.99),
(5, 102, 310.00),
(6, 104, 15.25);
Your task

From the Orders table, return a single row containing the total of all order amounts. Add up every value in the amount column and alias the result as total_sales.

Expected result

Your query should return
total_sales
770.74
Show hint

You want one number for the whole table, not one row per order. Reach for an aggregate function over the amount column, and give it a name with AS. No GROUP BY is needed when you are collapsing every row into a single total.

Try to write the query yourself before you open this.

Show solution and explanation
SELECT SUM(amount) AS total_sales
FROM Orders;

SUM(amount) is an aggregate function: it reads every value in the amount column and adds them together, returning one number. Because there is no GROUP BY clause, the whole table is treated as a single group, so you get exactly one row back. Adding the six amounts (120.00 + 75.50 + 200.00 + 49.99 + 310.00 + 15.25) gives 770.74. See the SUM function reference for the full syntax and edge cases.

The AS total_sales alias renames the output column. Without it, SQL Server would return an unnamed column (labelled something like (No column name)), which is awkward to reference. Aliasing aggregates is a good habit that makes results and downstream queries readable.

One common mistake is to add another column to the SELECT, such as customer_id, without a GROUP BY. That fails, because a bare column cannot be mixed with an aggregate unless it appears in GROUP BY. Also note that SUM ignores NULL amounts rather than treating them as zero, so a NULL row simply does not contribute to the total.

Keep practising

Work through more Easy exercises, or test yourself with the SQL interview questions.