Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
Aggregate functions aggregate data from groups of data into individual values. There are three main ways of forming such groups:
- A GROUP BY clause is used to define the groups for which data is aggregated
- No GROUP BY clause is defined, which means that all data from a SELECT statement (or subquery) is aggregated into a single row
- All aggregate functions can be used as window functions, in case of which they will aggregate the data of the specified window
- The column expressions of the
GROUP BYclause. In the overall data set, the values of these column expressions is unique.
- A set of data corresponding to each row produced by the
GROUP BYclause. This data set can be aggregated per group using aggregate functions.
GROUP BY means that a new set of rules need to be observed in the rest of the query:
- Clauses that logically precede GROUP BY are not affected. These include, for example, FROM and WHERE
- All other clauses (e.g. HAVING, WINDOW, SELECT, or ORDER BY) may now only reference expressions built from the expressions in the
GROUP BYclause, or aggregations on any other expression
SELECT AUTHOR_ID, count(*) FROM BOOK GROUP BY AUTHOR_ID;
create.select(BOOK.AUTHOR_ID, count()) .from(BOOK) .groupBy(BOOK.AUTHOR_ID).fetch();
+-----------+-------+ | AUTHOR_ID | count | +-----------+-------+ | 1 | 2 | | 2 | 2 | +-----------+-------+
Per the rules imposed by
GROUP BY, it would not be possible, for example, to project the
BOOK.TITLE column, because it is not defined per author. An author has written many books, so we don't know what a
BOOK.TITLE is supposed to mean. Only an aggregation, such as LISTAGG or ARRAY_AGG can reference
BOOK.TITLE as an argument.
In the absence of GROUP BY, a SELECT statement that contains at least one aggregate function in any of its clauses (e.g. HAVING, WINDOW, SELECT, or ORDER BY) will proceed to aggregating the entire data into a single row. There is an implied "empty grouping", i.e. a grouping that has no
GROUP BY columns. These two are the same things:
SELECT count(*) FROM BOOK; SELECT count(*) FROM BOOK GROUP BY ();
See also GROUPING SETS for more details about this empty
GROUP BY syntax.
For example, using our sample database, which has 4 books with IDs 1-4, we can write:
SELECT count(*), sum(ID) FROM BOOK
create.select(count(), sum(BOOK.ID)) .from(BOOK).fetch();
+----------+---------+ | count(*) | sum(ID) | +----------+---------+ | 4 | 10 | +----------+---------+
No other columns from the tables in the FROM clause may be projected by the SELECT clause, because they would not be defined for this single group. For example, no specific
BOOK.TITLE is defined for the aggregated value of all books. Only an aggregation, such as LISTAGG or ARRAY_AGG can reference
BOOK.TITLE as an argument.
However, any expression whose components do not depend on content of the group is allowed. For example, it is possible to combine aggregate functions and constant expressions like this:
SELECT count(*) + sum(ID) + 1 FROM BOOK
+------+ | plus | +------+ | 15 | +------+