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PERCENT_RANK
Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
The PERCENT_RANK() hypothetical set function calculates the percent rank of the hypothetical value, i.e. the relative rank from 0 to 1 (CUME_DIST produces values from 1/N to 1)
SELECT percent_rank(0) WITHIN GROUP (ORDER BY ID), percent_rank(2) WITHIN GROUP (ORDER BY ID), percent_rank(4) WITHIN GROUP (ORDER BY ID) FROM BOOK
create.select(
percentRank(val(0)).withinGroupOrderBy(BOOK.ID),
percentRank(val(2)).withinGroupOrderBy(BOOK.ID),
percentRank(val(4)).withinGroupOrderBy(BOOK.ID))
.from(BOOK)
Producing:
+-----------------+-----------------+-----------------+ | percent_rank(0) | percent_rank(2) | percent_rank(4) | +-----------------+-----------------+-----------------+ | 0.0 | 0.25 | 0.75 | +-----------------+-----------------+-----------------+
Dialect support
This example using jOOQ:
percentRank(val(0)).withinGroupOrderBy(BOOK.ID)
Translates to the following dialect specific expressions:
Aurora Postgres, H2, Oracle, Postgres, YugabyteDB
percent_rank(0) WITHIN GROUP (ORDER BY BOOK.ID)
ASE, Access, Aurora MySQL, BigQuery, ClickHouse, CockroachDB, DB2, Databricks, Derby, DuckDB, Exasol, Firebird, HSQLDB, Hana, Informix, MariaDB, MemSQL, MySQL, Redshift, SQLDataWarehouse, SQLServer, SQLite, Snowflake, Sybase, Teradata, Trino, Vertica
/* UNSUPPORTED */
Generated with jOOQ 3.21. Support in older jOOQ versions may differ. Translate your own SQL on our website
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