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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)
ASE, Access, Aurora MySQL, BigQuery, ClickHouse, CockroachDB, DB2, Derby, DuckDB, Exasol, Firebird, HSQLDB, Hana, Informix, MariaDB, MemSQL, MySQL, Redshift, SQLDataWarehouse, SQLServer, SQLite, Snowflake, Sybase, Teradata, Trino, Vertica
/* UNSUPPORTED */
Generated with jOOQ 3.20. Translate your own SQL on our website
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