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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 */
Generated with jOOQ 3.20. Translate your own SQL on our website
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