SUM() function calculates the sum of non-null values in the specified column. It supports DISTINCT, filters, partial sums, and use with other aggregate functions. SUM() ignores NULL values, returns negative values, and returns NULL for non-numeric values.
SUM() function in MySQL
SUM() function introduction
SUM() function is used to calculate the sum of all non-NULL values in the specified column. It is an aggregate function that operates on a set of rows and returns a single value.
Syntax
SUM(column_name)
Where, column_name
is the target column for which the sum is to be calculated.
Usage Example
The following is an example of using the SUM() function to calculate the sum of the sales
columns in the table:
SELECT SUM(sales) FROM sales_table;
NULL value handling
The SUM() function ignores NULL values. This means it only performs calculations on non-empty cells.
Distinct Keyword
You can use the DISTINCT
keyword to exclude duplicate values. For example, the following query calculates the total sales of different customers in the table:
SELECT SUM(DISTINCT sales) FROM sales_table;
Filter conditions
can be used in the SUM() functionWHERE
clause to apply filter conditions. For example, the following query calculates the total sales of greater than $100 in the table:
SELECT SUM(sales) FROM sales_table WHERE sales > 100;
PARTS AND
You can use PARTITION BY
and ORDER The BY
clause groups the results and calculates partial sums. For example, the following query calculates the total sales for each customer, sorted by date:
SELECT customer_id, SUM(sales) FROM sales_table GROUP BY customer_id ORDER BY date;
Other Notes
- The SUM() function can be combined with other aggregations Used together with functions such as
COUNT()
andAVG()
. - If the target column contains negative values, the SUM() function returns negative values.
- The SUM() function returns NULL if the target column contains non-numeric values.
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