# Ranking Functions: ROW_NUMBER(), RANK(), and DENSE_RANK()

# Ranking Functions: ROW_NUMBER(), RANK(), and DENSE_RANK()

### One of the most obvious and useful set of window functions are ranking functions where rows from your result set are ranked according to a certain scheme.

Join the DZone community and get the full member experience.

Join For Free**MariaDB TX, proven in production and driven by the community, is a complete database solution for any and every enterprise — a modern database for modern applications.**

One of the best features in SQL are window functions. Dimitri Fontaine put it bluntly:

There was SQL before window functions and SQL after window functions

If you’re lucky enough to be using any of these databases, then you can use window functions yourself:

- CUBRID
- DB2
- Firebird
- Informix
- Oracle
- PostgreSQL
- SQL Server
- Sybase SQL Anywhere
- Teradata

One of the most obvious and useful set of window functions are ranking functions where rows from your result set are ranked according to a certain scheme. There are three ranking functions:

`ROW_NUMBER()`

`RANK()`

`DENSE_RANK()`

The difference is easy to remember. For the examples, let’s assume we have this table (using PostgreSQL syntax):

```
CREATE TABLE t(v) AS
SELECT * FROM (
VALUES('a'),('a'),('a'),('b'),
('c'),('c'),('d'),('e')
) t(v)
```

**ROW_NUMBER()**

… assigns unique numbers to each row within the `PARTITION`

given the `ORDER BY`

clause. So you’d get:

```
SELECT v, ROW_NUMBER() OVER()
FROM t
```

Note that some SQL dialects (e.g. SQL Server) require an explicit `ORDER BY`

clause in the `OVER()`

clause:

```
SELECT v, ROW_NUMBER() OVER(ORDER BY v)
FROM t
```

The above query returns:

_{(see also this SQLFiddle)}

**RANK()**

… behaves like `ROW_NUMBER()`

, except that “equal” rows are ranked the same. If we substitute `RANK()`

into our previous query:

```
SELECT v, RANK() OVER(ORDER BY v)
FROM t
```

… then the result we’re getting is this:

_{(see also this SQLFiddle)}

As you can see, much like in a sports ranking, we have *gaps* between the different ranks. We can avoid those gaps by using

**DENSE_RANK()**

Trivially, `DENSE_RANK()`

is a rank with no gaps, i.e. it is *“dense”*. We can write:

```
SELECT v, DENSE_RANK() OVER(ORDER BY v)
FROM t
```

… to obtain

_{(see also this SQLFiddle)}

One interesting aspect of `DENSE_RANK()`

is the fact that it “behaves like” `ROW_NUMBER()`

when we add the `DISTINCT`

keyword.

```
SELECT DISTINCT v, DENSE_RANK() OVER(ORDER BY v)
FROM t
```

… to obtain

_{(see also this SQLFiddle)}

In fact, `ROW_NUMBER()`

prevents you from using `DISTINCT`

, because `ROW_NUMBER()`

generates unique values across the partition *before*`DISTINCT`

is applied:

```
SELECT DISTINCT v, ROW_NUMBER() OVER(ORDER BY v)
FROM t
ORDER BY 1, 2
```

`DISTINCT`

has no effect:

_{(see also this SQLFiddle)}

## Putting it all together

A good way to understand the three ranking functions is to see them all in action side-by-side. Run this query

```
SELECT
v,
ROW_NUMBER() OVER(ORDER BY v),
RANK() OVER(ORDER BY v),
DENSE_RANK() OVER(ORDER BY v)
FROM t
ORDER BY 1, 2
```

… or this one (using the SQL standard `WINDOW`

clause, to reuse window specifications):

```
SELECT
v,
ROW_NUMBER() OVER(w),
RANK() OVER(w),
DENSE_RANK() OVER(w)
FROM t
WINDOW w AS (ORDER BY v)
```

… to obtain:

_{(see also this SQLFiddle)}

Note that unfortunately, the `WINDOW`

clause is not supported in all databases.

## SQL is awesome

These things can be written very easily using SQL window functions. Once you get a hang of the syntax, you won’t want to miss this killer feature in your every day SQL statements any more. Excited?

For further reading, consider:

- The jOOQ manual sections about window functions
- Dimitri Fontaine’s excellent article “Understanding Window Functions”
- A real-world use-case: Counting neighboring colours in a stadium choreography
- A real-world use-case: Calculating running totals (not only with window functions)
- SQL 101: A Window into the World of Analytic Functions

**MariaDB AX is an open source database for modern analytics: distributed, columnar and easy to use.**

Published at DZone with permission of Lukas Eder , DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

## {{ parent.title || parent.header.title}}

## {{ parent.tldr }}

## {{ parent.linkDescription }}

{{ parent.urlSource.name }}