This SQL tutorial explains how to use the SQL **SUM function** with syntax and examples.

The SQL SUM function is used to return the sum of an expression in a SELECT statement.

The syntax for the SQL SUM function is:

SELECT SUM(aggregate_expression) FROM tables WHERE conditions;

OR the syntax for the SUM function when grouping the results by one or more columns is:

SELECT expression1, expression2, ... expression_n, SUM(aggregate_expression) FROM tables WHERE conditions GROUP BY expression1, expression2, ... expression_n;

- expression1, expression2, ... expression_n
- Expressions that are not encapsulated within the SUM function and must be included in the GROUP BY clause at the end of the SQL statement.
- aggregate_expression
- This is the column or expression that will be summed.
- tables
- The tables that you wish to retrieve records from. There must be at least one table listed in the FROM clause.
- conditions
- These are conditions that must be met for the records to be selected.

For example, you might wish to know how the combined total salary of all employees whose salary is above $25,000 / year.

SELECT SUM(salary) AS "Total Salary" FROM employees WHERE salary > 25000;

In this SQL SUM Function example, we've aliased the SUM(salary) expression as "Total Salary". As a result, "Total Salary" will display as the field name when the result set is returned.

You can use the SQL DISTINCT clause within the SQL SUM function. For example, the SQL SELECT statement below returns the combined total salary of unique salary values where the salary is above $25,000 / year.

SELECT SUM(DISTINCT salary) AS "Total Salary" FROM employees WHERE salary > 25000;

If there were two salaries of $30,000/year, only one of these values would be used in the SQL SUM function.

The *expression* contained within the SQL SUM function does not need to be a single field. You could also use a formula. For example, you might want the net income for a business. Net Income is calculated as total income less total expenses.

SELECT SUM(income - expenses) AS "Net Income" FROM gl_transactions;

You might also want to perform a mathematical operation within the SQL SUM function. For example, you might determine total commission as 10% of total sales.

SELECT SUM(sales * 0.10) AS "Commission" FROM order_details;

In some cases, you will be required to use the SQL GROUP BY clause with the SQL SUM function.

For example, you could also use the SQL SUM function to return the name of the department and the total sales (in the associated department).

SELECT department, SUM(sales) AS "Total sales" FROM order_details GROUP BY department;

Because you have listed one column in your SQL SELECT statement that is not encapsulated in the SQL SUM function, you must use the SQL GROUP BY clause. The department field must, therefore, be listed in the SQL GROUP BY section.

- SQL ALIASES
- SQL AND
- SQL AND & OR
- SQL BETWEEN
- SQL COMPARISON OPERATORS
- SQL DATA TYPES
- SQL DELETE
- SQL DISTINCT
- SQL EXISTS
- SQL FROM
- SQL GROUP BY
- SQL HAVING
- SQL IN
- SQL INSERT
- SQL INTERSECT
- SQL IS NOT NULL
- SQL IS NULL
- SQL JOIN
- SQL LIKE
- SQL MINUS
- SQL NOT
- SQL OR
- SQL ORDER BY
- SQL SELECT
- SQL SELECT LIMIT
- SQL SELECT TOP
- SQL TRUNCATE
- SQL UNION
- SQL UNION ALL
- SQL UPDATE
- SQL WHERE
- --- end ---

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