Beginners Guide to SQL – SQL HAVING Clause

(SQL Tutorials for Citizen Data Scientist)

SQL HAVING Clause

In this tutorial you will learn how to filter the groups returned by a GROUP BY clause.

Filtering the Groups Based on Condition

The HAVING clause is typically used with the GROUP BY clause to specify a filter condition for a group or an aggregate. The HAVING clause can only be used with the SELECT statement.

To understand this easily, let’s look at the following employees and departments tables.

+--------+--------------+------------+---------+
| emp_id | emp_name     | hire_date  | dept_id |
+--------+--------------+------------+---------+
|      1 | Ethan Hunt   | 2001-05-01 |       4 |
|      2 | Tony Montana | 2002-07-15 |       1 |
|      3 | Sarah Connor | 2005-10-18 |       5 |
|      4 | Rick Deckard | 2007-01-03 |       3 |
|      5 | Martin Blank | 2008-06-24 |    NULL |
+--------+--------------+------------+---------+
+---------+------------------+
| dept_id | dept_name        |
+---------+------------------+
|       1 | Administration   |
|       2 | Customer Service |
|       3 | Finance          |
|       4 | Human Resources  |
|       5 | Sales            |
+---------+------------------+
Table: employees Table: departments

Now, let’s say instead of finding just name of the employees and their departments, you want to find out the names of those departments in which there are no employees.

In case of small tables you can simply apply the left join and check each department manually, but suppose if a table contains thousands of employees then it wouldn’t be so easy.

In this situation you can use the HAVING clause with the GROUP BY clause, like this:

Example

SELECT t1.dept_name, count(t2.emp_id) AS total_employees
FROM departments AS t1 LEFT JOIN employees AS t2
ON t1.dept_id = t2.dept_id
GROUP BY t1.dept_name
HAVING total_employees = 0;

If you execute the above statement, you’ll get the output something like this:

+------------------+-----------------+
| dept_name        | total_employees |
+------------------+-----------------+
| Customer Service |               0 |
+------------------+-----------------+

 

Beginners Guide to SQL – SQL GROUP BY Clause

 

Beginners Guide to SQL – SQL HAVING Clause

 

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