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GROUP BY CUBE
Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
In reports, it may be useful to run multiple aggregations across multiple dimensions of the data in one go. CUBE is one way to do this.
SELECT AUTHOR_ID, LANGUAGE_ID, COUNT(*) FROM BOOK GROUP BY CUBE (AUTHOR_ID, LANGUAGE_ID)
create.select(BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID, count())
.from(BOOK)
.groupBy(cube(BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID))
.fetch();
The above is a more concise (and possibly more performant) form of writing the following UNION ALL query:
SELECT AUTHOR_ID, LANGUAGE_ID, COUNT(*) FROM BOOK GROUP BY AUTHOR_ID, LANGUAGE_ID UNION ALL SELECT AUTHOR_ID, NULL, COUNT(*) FROM BOOK GROUP BY AUTHOR_ID SELECT NULL, LANGUAGE_ID, COUNT(*) FROM BOOK GROUP BY LANGUAGE_ID UNION ALL SELECT NULL, NULL, COUNT(*) FROM BOOK GROUP BY ()
The CUBE function is just syntax sugar for a more complex GROUPING SETS specification. In general:
-- This CUBE (A, B, C) -- Is just short for this GROUPING SETS ((A, B, C), (A, B), (A, C), (B, C), (A), (B), (C), ())
Dialect support
This example using jOOQ:
select(BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID, count()).from(BOOK).groupBy(cube(BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID))
Translates to the following dialect specific expressions:
Aurora Postgres, ClickHouse, DB2, DuckDB, Hana, Oracle, Postgres, SQLServer, Snowflake, Sybase, Teradata, Trino, Vertica
SELECT BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID, count(*) FROM BOOK GROUP BY CUBE (BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID)
ASE, Access, Aurora MySQL, BigQuery, CockroachDB, Derby, Exasol, Firebird, H2, HSQLDB, Informix, MariaDB, MemSQL, MySQL, Redshift, SQLDataWarehouse, SQLite, YugabyteDB
/* UNSUPPORTED */
Generated with jOOQ 3.20. Translate your own SQL on our website
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