The HAVING clause allows us to filter group rows from SQL. When using the GROUP BY clause, our groups are created from rows already filters, from using the WHERE clause. Thus, we can use the HAVING clause to filter our new group rows. In this article, we will learn how to use HAVING clause in MySQL.
The basic syntax of using a Group By is as follows:
SELECT [columns] FROM [table] WHERE [conditions] GROUP BY [columns] HAVING [conditions];
We will be using docker in this article, but feel free to install your database locally instead. Once you have docker installed, create a new file called
docker-compose.yml and add the following.
version: '3' services: db: image: mysql:latest container_name: db environment: MYSQL_ROOT_PASSWORD: root_pass MYSQL_DATABASE: app_db MYSQL_USER: db_user MYSQL_PASSWORD: db_user_pass ports: - "6033:3306" volumes: - dbdata:/var/lib/mysql phpmyadmin: image: phpmyadmin/phpmyadmin container_name: pma links: - db environment: PMA_HOST: db PMA_PORT: 3306 PMA_ARBITRARY: 1 restart: always ports: - 8081:80 volumes: dbdata:
Now, navigate to
http://localhost:8081/ to access phpMyAdmin. Then log in with the username
root and pass
Click the SQL tab and you are ready to go.
In this article, we will need some data to work with. If you don't understand these commands, don't worry, we will cover them in later articles.
We will be using the sample db provided here: https://dev.mysql.com/doc/sakila/en/. However, we will only enter what we need rather than import the whole db.
With the SQL tab open (or your own sql cli going), let's first create our DB and select it.
create DATABASE if not EXISTS sakila; USE sakila;
Next, let's create an
CREATE TABLE actor ( actor_id SMALLINT UNSIGNED NOT NULL AUTO_INCREMENT, first_name VARCHAR(45) NOT NULL, last_name VARCHAR(45) NOT NULL, last_update TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (actor_id), KEY idx_actor_last_name (last_name) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
And finally, let's enter a few rows.
INSERT INTO actor VALUES (1,'PENELOPE','GUINESS','2006-02-15 04:34:33'), (2,'NICK','WAHLBERG','2006-02-15 04:34:33'), (3,'ED','CHASE','2006-02-15 04:34:33'), (4,'JENNIFER','DAVIS','2006-02-15 04:34:33'), (5,'JOHNNY','LOLLOBRIGIDA','2006-02-15 04:34:33'), (6,'BETTE','NICHOLSON','2006-02-15 04:34:33'), (7,'GRACE','MOSTEL','2006-02-15 04:34:33'), (8,'MATTHEW','JOHANSSON','2006-02-15 04:34:33'), (9,'JOAN','JOHANSSON','2006-02-15 04:34:33')
In this example, we create a new count using the
COUNT aggregate. We can filter the groups returned by using HAVING. Here, we filter our groups by all groups with more than 1 count. We can see there are two actors with the last name, JOHANSSON.
SELECT last_name AS LastName, COUNT(*) AS LastNameCount FROM actor GROUP BY LastName HAVING LastNameCount > 1;