Available in versions: Dev (3.19) | Latest (3.18) | 3.17 | 3.16 | 3.15 | 3.14 | 3.13 | 3.12 | 3.11 | 3.10 | 3.9
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, SNOWFLAKE, SQLSERVER, SYBASE, TERADATA, TRINO, VERTICA SELECT BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID, count(*) FROM BOOK GROUP BY CUBE (BOOK.AUTHOR_ID, BOOK.LANGUAGE_ID) -- ACCESS, ASE, AURORA_MYSQL, BIGQUERY, COCKROACHDB, DERBY, EXASOL, FIREBIRD, H2, HSQLDB, INFORMIX, MARIADB, MEMSQL, -- MYSQL, REDSHIFT, SQLDATAWAREHOUSE, SQLITE, YUGABYTEDB /* UNSUPPORTED */
(These are currently generated with jOOQ 3.19, see #10141), or translate your own on our website
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