Available in versions: Dev (3.20) | Latest (3.19) | 3.18 | 3.17 | 3.16 | 3.15 | 3.14 | 3.13 | 3.12 | 3.11 | 3.10
GROUP BY columns
Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
The GROUP BY columns list specifies the columns whose values are used to form groups. The group columns can then be projected, whereas all the non-group columns can be aggregated. An example of such a grouped aggregation is this query:
SELECT AUTHOR_ID, COUNT(*) FROM BOOK GROUP BY AUTHOR_ID
create.select(BOOK.AUTHOR_ID, count())
.from(BOOK)
.groupBy(BOOK.AUTHOR_ID)
.fetch();
The above example counts all books per author.
Note: a different and more powerful way of grouping data is to use the WINDOW clause and window functions.
Dialect support
This example using jOOQ:
select(BOOK.AUTHOR_ID, count()).from(BOOK).groupBy(BOOK.AUTHOR_ID)
Translates to the following dialect specific expressions:
All dialects
SELECT BOOK.AUTHOR_ID, count(*) FROM BOOK GROUP BY BOOK.AUTHOR_ID
Generated with jOOQ 3.20. Translate your own SQL on our website
Feedback
Do you have any feedback about this page? We'd love to hear it!