PERCENT_RANK [analytic]
Calculates the relative rank of a row for a given row in a group within a by dividing that row’s rank less 1 by the number of rows in the partition, also less 1.
Calculates the relative rank of a row for a given row in a group within a window by dividing that row’s rank less 1 by the number of rows in the partition, also less 1. PERCENT_RANK always returns values from 0 to 1 inclusive. The first row in any set has a PERCENT_RANK of 0. The return value is NUMBER.
( rank - 1 ) / ( [ rows ] - 1 )
In the preceding formula, rank is the rank position of a row in the group and rows is the total number of rows in the partition defined by the OVER() clause.
Behavior type
ImmutableSyntax
PERCENT_RANK ( ) OVER (
[ window-partition-clause ]
window-order-clause )
Parameters
OVER()- See Analytic Functions
Examples
The following example finds the percent rank of gross profit for different states within each month of the first quarter:
=> SELECT calendar_month_name AS MONTH, store_state,
SUM(gross_profit_dollar_amount),
PERCENT_RANK() OVER (PARTITION BY calendar_month_name
ORDER BY SUM(gross_profit_dollar_amount)) AS PERCENT_RANK
FROM store.store_sales_fact JOIN date_dimension
USING(date_key)
JOIN store.store_dimension
USING (store_key)
WHERE calendar_month_name IN ('January','February','March')
AND store_state IN ('OR','IA','DC','NV','WI')
GROUP BY calendar_month_name, store_state
ORDER BY calendar_month_name, PERCENT_RANK;
MONTH | store_state | SUM | PERCENT_RANK
----------+-------------+--------+--------------
February | IA | 418490 | 0
February | OR | 460588 | 0.25
February | DC | 616553 | 0.5
February | WI | 619204 | 0.75
February | NV | 838039 | 1
January | OR | 446528 | 0
January | IA | 474501 | 0.25
January | DC | 628496 | 0.5
January | WI | 679382 | 0.75
January | NV | 871824 | 1
March | IA | 460282 | 0
March | OR | 481935 | 0.25
March | DC | 716063 | 0.5
March | WI | 771575 | 0.75
March | NV | 970878 | 1
(15 rows)
The following example calculates, for each employee, the percent rank of the employee's salary by their job title:
=> SELECT job_title, employee_last_name, annual_salary,
PERCENT_RANK()
OVER (PARTITION BY job_title ORDER BY annual_salary DESC) AS percent_rank
FROM employee_dimension
ORDER BY percent_rank, annual_salary;
job_title | employee_last_name | annual_salary | percent_rank
--------------------+--------------------+---------------+---------------------
Cashier | Fortin | 3196 | 0
Delivery Person | Garnett | 3196 | 0
Cashier | Vogel | 3196 | 0
Customer Service | Sanchez | 3198 | 0
Shelf Stocker | Jones | 3198 | 0
Custodian | Li | 3198 | 0
Customer Service | Kramer | 3198 | 0
Greeter | McNulty | 3198 | 0
Greeter | Greenwood | 3198 | 0
Shift Manager | Miller | 99817 | 0
Advertising | Vu | 99853 | 0
Branch Manager | Jackson | 99858 | 0
Marketing | Taylor | 99928 | 0
Assistant Director | King | 99973 | 0
Sales | Kramer | 99973 | 0
Head of PR | Goldberg | 199067 | 0
Regional Manager | Gauthier | 199744 | 0
Director of HR | Moore | 199896 | 0
Head of Marketing | Overstreet | 199955 | 0
VP of Advertising | Meyer | 199975 | 0
VP of Sales | Sanchez | 199992 | 0
Founder | Gauthier | 927335 | 0
CEO | Taylor | 953373 | 0
Investor | Garnett | 963104 | 0
Co-Founder | Vu | 977716 | 0
CFO | Vogel | 983634 | 0
President | Sanchez | 992363 | 0
Delivery Person | Li | 3194 | 0.00114155251141553
Delivery Person | Robinson | 3194 | 0.00114155251141553
Custodian | McCabe | 3192 | 0.00126582278481013
Shelf Stocker | Moore | 3196 | 0.00128040973111396
Branch Manager | Moore | 99716 | 0.00186567164179104
...