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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, CockroachDB, DB2, Derby, DuckDB, Exasol, Firebird, HSQLDB, Hana, Informix, MariaDB, MemSQL, MySQL, Redshift, SQLDataWarehouse, SQLServer, SQLite, Snowflake, Sybase, Teradata, Trino, Vertica

/* UNSUPPORTED */

(These are currently generated with jOOQ 3.20, see #10141), or translate your own on our website

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