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PERCENTILE_CONT

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

The PERCENTILE_CONT() aggregate function is an ordered set function that calculates a given continuous percentile of all input values. A special kind of percentile is the MEDIAN, corresponding to the 50% percentile.

SELECT
  percentile_cont(0.00) WITHIN GROUP (ORDER BY ID),
  percentile_cont(0.25) WITHIN GROUP (ORDER BY ID),
  percentile_cont(0.50) WITHIN GROUP (ORDER BY ID),
  percentile_cont(0.75) WITHIN GROUP (ORDER BY ID),
  percentile_cont(1.00) WITHIN GROUP (ORDER BY ID)
FROM BOOK
create.select(
         percentileCont(0.00).withinGroupOrderBy(BOOK.ID),
         percentileCont(0.25).withinGroupOrderBy(BOOK.ID),
         percentileCont(0.50).withinGroupOrderBy(BOOK.ID),
         percentileCont(0.75).withinGroupOrderBy(BOOK.ID),
         percentileCont(1.00).withinGroupOrderBy(BOOK.ID))
      .from(BOOK)

Producing:

+------+------+------+------+------+
| 0.00 | 0.25 | 0.50 | 0.75 | 1.00 |
+------+------+------+------+------+
|    1 | 1.75 |  2.5 | 3.25 |    4 |
+------+------+------+------+------+

Dialect support

This example using jOOQ:

percentileCont(0.00).withinGroupOrderBy(BOOK.ID)

Translates to the following dialect specific expressions:

Aurora Postgres, BigQuery, DB2, DuckDB, Exasol, MariaDB, MemSQL, Oracle, Postgres, Redshift, SQLDataWarehouse, SQLServer, Snowflake, Teradata, YugabyteDB

percentile_cont(0E0) WITHIN GROUP (ORDER BY BOOK.ID)

H2

percentile_cont(CAST(0E0 AS double)) WITHIN GROUP (ORDER BY BOOK.ID)

ASE, Access, Aurora MySQL, ClickHouse, CockroachDB, Derby, Firebird, HSQLDB, Hana, Informix, MySQL, SQLite, Sybase, Trino, Vertica

/* UNSUPPORTED */

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

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