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HAVING Clause in SQL

The HAVING clause places the condition in the groups defined by the GROUP BY clause in the SELECT statement.

This SQL clause is implemented after the 'GROUP BY' clause in the 'SELECT' statement.

This clause is used in SQL because we cannot use the WHERE clause with the SQL aggregate functions. Both WHERE and HAVING clauses are used for filtering the records in SQL queries.

Difference between HAVING and WHERE Clause

The difference between the WHERE and HAVING clauses in the database is the most important question asked during an IT interview.

The following table shows the comparisons between these two clauses, but the main difference is that the WHERE clause uses condition for filtering records before any groupings are made, while HAVING clause uses condition for filtering values from a group.

HAVING WHERE
1. The HAVING clause is used in database systems to fetch the data/values from the groups according to the given condition. 1. The WHERE clause is used in database systems to fetch the data/values from the tables according to the given condition.
2. The HAVING clause is always executed with the GROUP BY clause. 2. The WHERE clause can be executed without the GROUP BY clause.
3. The HAVING clause can include SQL aggregate functions in a query or statement. 3. We cannot use the SQL aggregate function with WHERE clause in statements.
4. We can only use SELECT statement with HAVING clause for filtering the records. 4. Whereas, we can easily use WHERE clause with UPDATE, DELETE, and SELECT statements.
5. The HAVING clause is used in SQL queries after the GROUP BY clause. 5. The WHERE clause is always used before the GROUP BY clause in SQL queries.
6. We can implements this SQL clause in column operations. 6. We can implements this SQL clause in row operations.
7. It is a post-filter. 7. It is a pre-filter.
8. It is used to filter groups. 8. It is used to filter the single record of the table.

Syntax of HAVING clause in SQL

Examples of HAVING clause in SQL

In this article, we have taken the following four different examples which will help you how to use the HAVING clause with different SQL aggregate functions:

Example 1: Let's take the following Employee table, which helps you to analyze the HAVING clause with SUM aggregate function:

Emp_Id Emp_Name Emp_Salary Emp_City
201 Abhay 2000 Goa
202 Ankit 4000 Delhi
203 Bheem 8000 Jaipur
204 Ram 2000 Goa
205 Sumit 5000 Delhi

If you want to add the salary of employees for each city, you have to write the following query:

The output of the above query shows the following output:

SUM(Emp_Salary) Emp_City
4000 Goa
9000 Delhi
8000 Jaipur

Now, suppose that you want to show those cities whose total salary of employees is more than 5000. For this case, you have to type the following query with the HAVING clause in SQL:

The output of the above SQL query shows the following table in the output:

SUM(Emp_Salary) Emp_City
9000 Delhi
8000 Jaipur

Example 2: Let's take the following Student_details table, which helps you to analyze the HAVING clause with the COUNT aggregate function:

Roll_No Name Marks Age
1 Rithik 91 20
2 Kapil 60 19
3 Arun 82 17
4 Ram 92 18
5 Anuj 50 20
6 Suman 88 18
7 Sheetal 57 19
8 Anuj 64 20

Suppose, you want to count the number of students from the above table according to their age. For this, you have to write the following query:

The above query will show the following output:

Count(Roll_No) Age
3 20
2 19
1 17
2 18

Now, suppose that you want to show the age of those students whose roll number is more than and equals 2. For this case, you have to type the following query with the HAVING clause in SQL:

The output of the above SQL query shows the following table in the output:

Count(Roll_No) Age
3 20
2 19
2 18

Example 3: Let's take the following Employee table, which helps you to analyze the HAVING clause with MIN and MAX aggregate function:

Emp_ID Name Emp_Salary Emp_Dept
1001 Anuj 9000 Finance
1002 Saket 4000 HR
1003 Raman 3000 Coding
1004 Renu 6000 Coding
1005 Seenu 5000 HR
1006 Mohan 10000 Marketing
1007 Anaya 4000 Coding
1008 Parul 8000 Finance

MIN Function with HAVING Clause:

If you want to show each department and the minimum salary in each department, you have to write the following query:

The output of the above query shows the following output:

MIN(Emp_Salary) Emp_Dept
8000 Finance
4000 HR
3000 Coding
10000 Marketing

Now, suppose that you want to show only those departments whose minimum salary of employees is greater than 4000. For this case, you have to type the following query with the HAVING clause in SQL:

The above SQL query shows the following table in the output:

MIN(Emp_Salary) Emp_Dept
8000 Finance
10000 Marketing

MAX Function with HAVING Clause:

In the above employee table, if you want to list each department and the maximum salary in each department. For this, you have to write the following query:

The above query will show the following output:

MAX(Emp_Salary) Emp_Dept
9000 Finance
5000 HR
6000 Coding
10000 Marketing

Now, suppose that you want to show only those departments whose maximum salary of employees is less than 8000. For this case, you have to type the following query with the HAVING clause in SQL:

The output of the above SQL query shows the following table in the output:

MAX(Emp_Salary) Emp_Dept
5000 HR
6000 Coding

Example 4: Let's take the following Employee_Dept table, which helps you to analyze the HAVING clause with AVG aggregate function:

Emp_ID Name Emp_Salary Emp_Dept
1001 Anuj 8000 Finance
1002 Saket 4000 HR
1003 Raman 3000 Coding
1004 Renu 6000 Coding
1005 Seenu 5000 HR
1006 Mohan 10000 Marketing
1007 Anaya 4000 Coding
1008 Parul 6000 Finance

If you want to find the average salary of employees in each department, you have to write the following query:

The above query will show the following output:

AVG(Emp_Salary) Emp_Dept
7000 Finance
4500 HR
6500 Coding
10000 Marketing

Now, suppose that you want to show those departments whose average salary is more than and equals 6500. For this case, you have to type the following query with the HAVING clause in SQL:

The above SQL query will show the following table in the output:

AVG(Emp_Salary) Emp_Dept
7000 Finance
6500 Coding
10000 Marketing

Next TopicSQL ORDER BY





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