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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, 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 */

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

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