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# DENSE_RANK

Applies to ✅ Open Source Edition   ✅ Express Edition   ✅ Professional Edition   ✅ Enterprise Edition

The `DENSE_RANK()` hypothetical set function calculates the rank without gaps of the hypothetical value, i.e. dense ranks will be 1, 1, 1, 2, 3, 3, 4 (RANK produces values with gaps, e.g. 1, 1, 1, 4, 5, 5, 7)

```SELECT
dense_rank(0) WITHIN GROUP (ORDER BY AUTHOR_ID),
dense_rank(1) WITHIN GROUP (ORDER BY AUTHOR_ID),
dense_rank(2) WITHIN GROUP (ORDER BY AUTHOR_ID)
FROM BOOK```
```create.select(
denseRank(val(0)).withinGroupOrderBy(BOOK.AUTHOR_ID),
denseRank(val(2)).withinGroupOrderBy(BOOK.AUTHOR_ID),
denseRank(val(4)).withinGroupOrderBy(BOOK.AUTHOR_ID))
.from(BOOK)```

Producing:

```+---------------+---------------+---------------+
| dense_rank(0) | dense_rank(1) | dense_rank(2) |
+---------------+---------------+---------------+
|             1 |             1 |             2 |
+---------------+---------------+---------------+```

## Dialect support

This example using jOOQ:

`denseRank(val(0)).withinGroupOrderBy(BOOK.ID)`

Translates to the following dialect specific expressions:

```-- AURORA_POSTGRES, H2, ORACLE, POSTGRES, YUGABYTEDB
dense_rank(0) WITHIN GROUP (ORDER BY BOOK.ID)

-- ACCESS, ASE, AURORA_MYSQL, BIGQUERY, COCKROACHDB, DB2, DERBY, EXASOL, FIREBIRD, HANA, HSQLDB, INFORMIX, MARIADB, MEMSQL,
-- MYSQL, REDSHIFT, SNOWFLAKE, SQLDATAWAREHOUSE, SQLITE, SQLSERVER, SYBASE, TERADATA, VERTICA
/* UNSUPPORTED */
```

(These are currently generated with jOOQ 3.18, see #10141), or translate your own on our website