Categories:

Window Functions (Rank-related, Window frame)

# RANK¶

Returns the rank of a value within an ordered group of values.

The rank value starts at 1 and continues up sequentially.

If two values are the same, they have the same rank.

## Syntax¶

RANK() OVER ( [ PARTITION BY <expr1> ] ORDER BY <expr2> [ { ASC | DESC } ] [ <window_frame> ] )


For details about window_frame syntax, see Window Frame Syntax and Usage.

## Arguments¶

None.

The function itself takes no arguments because it returns the rank (relative position) of the current row within the window, which is ordered by <expr2>. The ordering of the window determines the rank, so there is no need to pass an additional parameter to the RANK function.

## Usage Notes¶

• expr1 The column or expression to partition the window by.

For example, suppose that within each state or province, you want to rank farmers in order by the amount of corn they produced. In this case, you partition by state.

If you want only a single group (e.g. you want to rank all farmers in the U.S. regardless of which state they live in), then omit the PARTITION BY clause.

• expr2 The column or expression to order (rank) by.

For example, if you’re ranking farmers to see who produced the most corn (within their state), then you would use the bushels_produced column. For details, see Examples (in this topic).

• Tie values result in the same rank value; however, gaps in the sequence result from the tie values.

For example, if the first three rows return 1, RANK skips 2 and 3 and assigns 4 to the next row in the group.

• To avoid gaps, use the DENSE_RANK function instead.

## Examples¶

Create a table and data:

-- Create table and load data.
create or replace table corn_production (farmer_ID INTEGER, state varchar, bushels float);
insert into corn_production (farmer_ID, state, bushels) values
(1, 'Iowa', 100),
(2, 'Iowa', 110),
(3, 'Kansas', 120),
(4, 'Kansas', 130);


Show farmers’ corn production in descending order, along with the rank of each individual farmer’s production (highest = 1):

SELECT state, bushels,
RANK() OVER (ORDER BY bushels DESC),
DENSE_RANK() OVER (ORDER BY bushels DESC)
FROM corn_production;
+--------+---------+-------------------------------------+-------------------------------------------+
| STATE  | BUSHELS | RANK() OVER (ORDER BY BUSHELS DESC) | DENSE_RANK() OVER (ORDER BY BUSHELS DESC) |
|--------+---------+-------------------------------------+-------------------------------------------|
| Kansas |     130 |                                   1 |                                         1 |
| Kansas |     120 |                                   2 |                                         2 |
| Iowa   |     110 |                                   3 |                                         3 |
| Iowa   |     100 |                                   4 |                                         4 |
+--------+---------+-------------------------------------+-------------------------------------------+


Within each state, show farmers’ corn production in descending order, along with the rank of each individual farmer’s production (highest = 1):

SELECT state, bushels,
RANK() OVER (PARTITION BY state ORDER BY bushels DESC),
DENSE_RANK() OVER (PARTITION BY state ORDER BY bushels DESC)
FROM corn_production;
+--------+---------+--------------------------------------------------------+--------------------------------------------------------------+
| STATE  | BUSHELS | RANK() OVER (PARTITION BY STATE ORDER BY BUSHELS DESC) | DENSE_RANK() OVER (PARTITION BY STATE ORDER BY BUSHELS DESC) |
|--------+---------+--------------------------------------------------------+--------------------------------------------------------------|
| Iowa   |     110 |                                                      1 |                                                            1 |
| Iowa   |     100 |                                                      2 |                                                            2 |
| Kansas |     130 |                                                      1 |                                                            1 |
| Kansas |     120 |                                                      2 |                                                            2 |
+--------+---------+--------------------------------------------------------+--------------------------------------------------------------+


The query and output below show how tie values are handled by both RANK() and DENSE_RANK() functions. Note that for DENSE_RANK, the ranks are 1, 2, 3, 3, 4. Unlike with the output from the RANK() function, the rank 4 is not skipped because there was a tie for rank 3.

SELECT state, bushels,
RANK() OVER (ORDER BY bushels DESC),
DENSE_RANK() OVER (ORDER BY bushels DESC)
FROM corn_production;
+--------+---------+-------------------------------------+-------------------------------------------+
| STATE  | BUSHELS | RANK() OVER (ORDER BY BUSHELS DESC) | DENSE_RANK() OVER (ORDER BY BUSHELS DESC) |
|--------+---------+-------------------------------------+-------------------------------------------|
| Kansas |     130 |                                   1 |                                         1 |
| Kansas |     120 |                                   2 |                                         2 |
| Iowa   |     110 |                                   3 |                                         3 |
| Iowa   |     110 |                                   3 |                                         3 |
| Iowa   |     100 |                                   5 |                                         4 |
+--------+---------+-------------------------------------+-------------------------------------------+