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 GROUP_CONCAT() function concatenates all the non NULL values of a specified column and returns the result in the form of a string. If the specified column have no non null values this function returns NULL.

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


Following is the syntax of this function –


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(
	First_Name VARCHAR(255),
	Last_Name VARCHAR(255),
	Socre_In_Exhibiiton_match INT,

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');
insert into MyPlayers values(7, 'James', 'Anderson', 15, 'England');

Following query lists out the scores of all the players in an exhibition match –

mysql> SELECT GROUP_CONCAT(Socre_In_Exhibiiton_match) from MyPlayers;
| GROUP_CONCAT(Socre_In_Exhibiiton_match) |
|                    95,50,25,50,25,15,15 |
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);

Following query lists of the number of typing pages of all the employees as a string −

mysql> SELECT GROUP_CONCAT(daily_typing_pages) FROM employee_tbl;
| GROUP_CONCAT(daily_typing_pages) |
|      220,170,100,220,300,350,250 |
1 row in set (0.00 sec)

You can also use the GROUP BY clause in here as shown below –

mysql> SELECT GROUP_CONCAT(daily_typing_pages) FROM employee_tbl GROUP BY name;
| GROUP_CONCAT(daily_typing_pages) |
|                          170,100 |
|                              220 |
|                              250 |
|                              220 |
|                          300,350 |
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 performs the GROUP CONCAT operation on the column named marks

mysql> SELECT GROUP_CONCAT(marks) from student;
| GROUP_CONCAT(marks) |
|            80,60,45 |
1 row in set (0.00 sec)

Example 4

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

mysql> CREATE TABLE sales(
	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 prices of all the items –

|      GROUP_CONCAT(Price) |
| 7000,2000,3000,9000,6000 |
1 row in set (0.00 sec)