MySQL - SUM() Function


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In general, aggregation is a consideration of a collection of objects that are bound together as a single entity.

MySQL provides a set of aggregate functions that perform operations on all the entities of the column of a table considering them as a single unit.

The MySQL SUM() function calculates and returns the sum of all the fields in a particular column. If the specified row(s) doesn’t exist this function returns NULL.

If you use the DISTINCT keyword, this function calculates and returns the sum of the unique values of the given column –

Syntax

Following is the syntax of this function –

SUM(expr);

Example 1

Following is an example demonstrating the usage of this function. Assume we have created a table with name MyPlayers in MySQL database using CREATE statement as shown below –

mysql> CREATE TABLE MyPlayers(
	ID INT,
	First_Name VARCHAR(255),
	Last_Name VARCHAR(255),
	Socre_In_Exhibiiton_match INT,
	COUNTRY VARCHAR(100),
	PRIMARY KEY (ID)
);

This table stores the first and last names, country, scores in an exhibition match of a player. Now, we will insert 7 records in MyPlayers table using INSERT statements −

insert into MyPlayers values(1, 'Shikhar', 'Dhawan', 95, 'India');
insert into MyPlayers values(2, 'Jonathan', 'Trott', 50, 'SouthAfrica');
insert into MyPlayers values(3, 'Kumara', 'Sangakkara', 25, 'Sri Lanka');
insert into MyPlayers values(4, 'Virat', 'Kohli', 50, 'India');
insert into MyPlayers values(5, 'Rohit', 'Sharma', 25, 'India');
insert into MyPlayers values(6, 'Ravindra', 'Jadeja', 15, 'India'); MySQL SUM() Function
insert into MyPlayers values(7, 'James', 'Anderson', 15, 'England');

Following query calculates the sum of the scores of all the players in an exhibition match –

mysql> SELECT SUM(Socre_In_Exhibiiton_match) from MyPlayers;
+--------------------------------+
| SUM(Socre_In_Exhibiiton_match) |
+--------------------------------+
|                            275 |
+--------------------------------+
1 row in set (0.00 sec)

Example 2

Following is another example of this function. Assume we have created another table named employee_tbl and inserted records in it as follows –

mysql> CREATE TABLE employee_tbl (
	id INT,
	name VARCHAR(255),
	Work_date INT,
	daily_typing_pages INT
);
mysql> insert into employee_tbl values(1, John, DATE('2007-01-24'), 250);
mysql> insert into employee_tbl values(2, 'Ram', DATE('2007-05-27'), 220);
mysql> insert into employee_tbl values(3, 'Jack', DATE('2007-05-06'), 170);
mysql> insert into employee_tbl values(3, 'Jack', DATE('2007-04-06'), 100);
mysql> insert into employee_tbl values(4, 'Jill', DATE('2007-04-06'), 220);
mysql> insert into employee_tbl values(5, 'Zara', DATE('2007-06-06'), 300);
mysql> insert into employee_tbl values(5, 'Zara', DATE('2007-02-06'), 350);

Now, suppose based on the above table you want to calculate total of all the dialy_typing_pages, then you can do so by using the following command −

mysql> SELECT AVG(daily_typing_pages) FROM employee_tbl;
+-------------------------+
| AVG(daily_typing_pages) |
+-------------------------+
|                230.0000 |
+-------------------------+
1 row in set (0.02 sec)

You can take sum of various records set using GROUP BY clause. Following example will sum up all the records related to a single person and you will have total typed pages by every person.

mysql> SELECT name, SUM(daily_typing_pages) FROM employee_tbl GROUP BY name;
+------+-------------------------+
| name | SUM(daily_typing_pages) |
+------+-------------------------+
|  Ram |                     220 |
| Jack |                     270 |
| Jill |                     220 |
| Zara |                     650 |
| John |                     250 |
+------+-------------------------+
5 rows in set (0.00 sec)

Example 3

Let us create a table named student and inserted records into it using CREATE and INSERT statements as shown below –

mysql> CREATE TABLE student (name VARCHAR(15), marks INT, grade CHAR);
mysql> INSERT INTO student VALUES ('Raju', 80, 'A');
mysql> INSERT INTO student VALUES ('Rahman', 60, 'B');
mysql> INSERT INTO student VALUES ('Robert', 45, 'C');

Following query prints the sum of all the value of the marks column of the student table –

mysql> SELECT SUM(marks) from student;
+------------+
| SUM(marks) |
+------------+
|        105 |
+------------+
1 row in set (0.00 sec)

Example 4

Assume we have created and populated a table with name Sales.

mysql> CREATE TABLE sales(
	ID INT,
	ProductName VARCHAR(255),
	CustomerName VARCHAR(255),
	DispatchDate date,
	DeliveryTime time,
	Price INT,
	Location VARCHAR(255)
);
Query OK, 0 rows affected (2.22 sec)
INSERT INTO SALES values(1, 'Key-Board', 'Raja', DATE('2019-09-01'), TIME('11:00:00'), 7000, 'Hyderabad');
INSERT INTO SALES values(2, 'Earphones', 'Roja', DATE('2019-05-01'), TIME('11:00:00'), 2000, 'Vishakhapatnam');
INSERT INTO SALES values(3, 'Mouse', 'Puja', DATE('2019-03-01'), TIME('10:59:59'), 3000, 'Vijayawada');
INSERT INTO SALES values(4, 'Mobile', 'Vanaja', DATE('2019-03-01'), TIME('10:10:52'), 9000, 'Chennai');
INSERT INTO SALES values(5, 'Headset', 'Jalaja', DATE('2019-04-06'), TIME('11:08:59'), 6000, 'Goa');

Following query prints the sum of all the values in the Price column –

mysql> SELECT SUM(Price) FROM SALES;
+------------+
| SUM(Price) |
+------------+
|      27000 |
+------------+
1 row in set (0.00 sec)
mysql-aggregate-functions.htm
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