PERCENT_RANK Function - SQL


Overview


The PERCENT_RANK function in SQL calculates the relative rank of a row within a partition as a percentage of the total number of rows in the partition. It is useful for determining the percentile rank of a row.

Example:

SELECT department_id, first_name, salary,
PERCENT_RANK() OVER (PARTITION BY department_id ORDER BY salary DESC)
FROM company.employees

Syntax:

SELECT column_name,
PERCENT_RANK() OVER (PARTITION BY partition_column[s] ORDER BY order_column[s])
FROM table_name

partition_column[s] is the column or columns that divide the result set into partitions.

order_column[s] is the column or columns that specify the order of rows within each partition.

PERCENT_RANK() calculates the relative rank of a row as a percentage of the total number of rows in the partition.

Sample Data:

Before

department_id first_name salary
3 Frank 123000
2 Jane 135000
3 Ashley 115000
NULL Glenn 115000
2 Kelly 125000
1 Richard 120000
1 George 105000
5 Kyle 200000
2 James 107000
1 Gustavo 100000

After

department_id first_name salary
NULL Glenn 115000
1 Richard 120000
1 George 105000
1 Gustavo 100000
2 Jane 135000
2 Kelly 125000
2 James 107000
3 Ashley 115000
3 Frank 123000
5 Kyle 200000

Example: Query without the WHERE Statement


In this example, we are returning the department_id, first_name, and salary column, along with a PERCENT_RANK column to calculate the relative rank of each employee’s salary within their department, ordering the salaries in descending order. The result is a value between 0 and 1 for each employee, indicating their salary’s percentile rank within their department.


Example: Query with the WHERE Statement


In this example, we are filtering for only rows in department_id 1. We are returning the department_id, first_name, and salary column, along with a PERCENT_RANK column to calculate the relative rank of each employee’s salary within their department, ordering the salaries in descending order. The result is a value between 0 and 1 for each employee, indicating their salary’s percentile rank within their department.