The GROUP BY clause permits a WITH
ROLLUP modifier that causes summary output to include
extra rows that represent higher-level (that is,
super-aggregate) summary operations. ROLLUP
thus enables you to answer questions at multiple levels of
analysis with a single query. For example,
ROLLUP can be used to provide support for
OLAP (Online Analytical Processing) operations.
Suppose that a sales table has
year, country,
product, and profit
columns for recording sales profitability:
CREATE TABLE sales
(
year INT,
country VARCHAR(20),
product VARCHAR(32),
profit INT
);
To summarize table contents per year, use a simple
GROUP BY like this:
mysql> SELECT year, SUM(profit) AS profit
FROM sales
GROUP BY year;
+------+--------+
| year | profit |
+------+--------+
| 2000 | 4525 |
| 2001 | 3010 |
+------+--------+
The output shows the total (aggregate) profit for each year. To
also determine the total profit summed over all years, you must
add up the individual values yourself or run an additional
query. Or you can use ROLLUP, which provides
both levels of analysis with a single query. Adding a
WITH ROLLUP modifier to the GROUP
BY clause causes the query to produce another
(super-aggregate) row that shows the grand total over all year
values:
mysql> SELECT year, SUM(profit) AS profit
FROM sales
GROUP BY year WITH ROLLUP;
+------+--------+
| year | profit |
+------+--------+
| 2000 | 4525 |
| 2001 | 3010 |
| NULL | 7535 |
+------+--------+
The NULL value in the year
column identifies the grand total super-aggregate line.
ROLLUP has a more complex effect when there
are multiple GROUP BY columns. In this case,
each time there is a change in value in any but the last
grouping column, the query produces an extra super-aggregate
summary row.
For example, without ROLLUP, a summary of the
sales table based on year,
country, and product might
look like this, where the output indicates summary values only
at the year/country/product level of analysis:
mysql> SELECT year, country, product, SUM(profit) AS profit
FROM sales
GROUP BY year, country, product;
+------+---------+------------+--------+
| year | country | product | profit |
+------+---------+------------+--------+
| 2000 | Finland | Computer | 1500 |
| 2000 | Finland | Phone | 100 |
| 2000 | India | Calculator | 150 |
| 2000 | India | Computer | 1200 |
| 2000 | USA | Calculator | 75 |
| 2000 | USA | Computer | 1500 |
| 2001 | Finland | Phone | 10 |
| 2001 | USA | Calculator | 50 |
| 2001 | USA | Computer | 2700 |
| 2001 | USA | TV | 250 |
+------+---------+------------+--------+
With ROLLUP added, the query produces several
extra rows:
mysql> SELECT year, country, product, SUM(profit) AS profit
FROM sales
GROUP BY year, country, product WITH ROLLUP;
+------+---------+------------+--------+
| year | country | product | profit |
+------+---------+------------+--------+
| 2000 | Finland | Computer | 1500 |
| 2000 | Finland | Phone | 100 |
| 2000 | Finland | NULL | 1600 |
| 2000 | India | Calculator | 150 |
| 2000 | India | Computer | 1200 |
| 2000 | India | NULL | 1350 |
| 2000 | USA | Calculator | 75 |
| 2000 | USA | Computer | 1500 |
| 2000 | USA | NULL | 1575 |
| 2000 | NULL | NULL | 4525 |
| 2001 | Finland | Phone | 10 |
| 2001 | Finland | NULL | 10 |
| 2001 | USA | Calculator | 50 |
| 2001 | USA | Computer | 2700 |
| 2001 | USA | TV | 250 |
| 2001 | USA | NULL | 3000 |
| 2001 | NULL | NULL | 3010 |
| NULL | NULL | NULL | 7535 |
+------+---------+------------+--------+Now the output includes summary information at four levels of analysis, not just one:
Following each set of product rows for a given year and country, an extra super-aggregate summary row appears showing the total for all products. These rows have the
productcolumn set toNULL.Following each set of rows for a given year, an extra super-aggregate summary row appears showing the total for all countries and products. These rows have the
countryandproductscolumns set toNULL.Finally, following all other rows, an extra super-aggregate summary row appears showing the grand total for all years, countries, and products. This row has the
year,country, andproductscolumns set toNULL.
The NULL indicators in each super-aggregate
row are produced when the row is sent to the client. The server
looks at the columns named in the GROUP BY
clause following the leftmost one that has changed value. For
any column in the result set with a name that matches any of
those names, its value is set to NULL. (If
you specify grouping columns by column position, the server
identifies which columns to set to NULL by
position.)
Because the NULL values in the
super-aggregate rows are placed into the result set at such a
late stage in query processing, you can test them as
NULL values only in the select list or
HAVING clause. You cannot test them as
NULL values in join conditions or the
WHERE clause to determine which rows to
select. For example, you cannot add WHERE product IS
NULL to the query to eliminate from the output all but
the super-aggregate rows.
The NULL values do appear as
NULL on the client side and can be tested as
such using any MySQL client programming interface. However, at
this point, you cannot distinguish whether a
NULL represents a regular grouped value or a
super-aggregate value. In MySQL 8.0, you can use the
GROUPING() function to test the
distinction.
The following discussion lists some behaviors specific to the
MySQL implementation of ROLLUP.
When you use ROLLUP, you cannot also use an
ORDER BY clause to sort the results. In
other words, ROLLUP and ORDER
BY are mutually exclusive in MySQL. However, you
still have some control over sort order. To work around the
restriction that prevents using ROLLUP with
ORDER BY and achieve a specific sort order
of grouped results, generate the grouped result set as a
derived table and apply ORDER BY to it. For
example:
mysql> SELECT * FROM
(SELECT year, SUM(profit) AS profit
FROM sales GROUP BY year WITH ROLLUP) AS dt
ORDER BY year DESC;
+------+--------+
| year | profit |
+------+--------+
| 2001 | 3010 |
| 2000 | 4525 |
| NULL | 7535 |
+------+--------+In this case, the super-aggregate summary rows sort with the rows from which they are calculated, and their placement depends on sort order (at the beginning for ascending sort, at the end for descending sort).
LIMIT can be used to restrict the number of
rows returned to the client. LIMIT is
applied after ROLLUP, so the limit applies
against the extra rows added by ROLLUP. For
example:
mysql> SELECT year, country, product, SUM(profit) AS profit
FROM sales
GROUP BY year, country, product WITH ROLLUP
LIMIT 5;
+------+---------+------------+--------+
| year | country | product | profit |
+------+---------+------------+--------+
| 2000 | Finland | Computer | 1500 |
| 2000 | Finland | Phone | 100 |
| 2000 | Finland | NULL | 1600 |
| 2000 | India | Calculator | 150 |
| 2000 | India | Computer | 1200 |
+------+---------+------------+--------+
Using LIMIT with ROLLUP
may produce results that are more difficult to interpret,
because there is less context for understanding the
super-aggregate rows.
A MySQL extension permits a column that does not appear in the
GROUP BY list to be named in the select
list. (For information about nonaggregated columns and
GROUP BY, see
Section 12.19.3, “MySQL Handling of GROUP BY”.) In this case, the server
is free to choose any value from this nonaggregated column in
summary rows, and this includes the extra rows added by
WITH ROLLUP. For example, in the following
query, country is a nonaggregated column
that does not appear in the GROUP BY list
and values chosen for this column are nondeterministic:
mysql> SELECT year, country, SUM(profit) AS profit
FROM sales
GROUP BY year WITH ROLLUP;
+------+---------+--------+
| year | country | profit |
+------+---------+--------+
| 2000 | India | 4525 |
| 2001 | USA | 3010 |
| NULL | USA | 7535 |
+------+---------+--------+
This behavior is permitted when the
ONLY_FULL_GROUP_BY SQL mode
is not enabled. If that mode is enabled, the server rejects
the query as illegal because country is not
listed in the GROUP BY clause. With
ONLY_FULL_GROUP_BY enabled,
you can still execute the query by using the
ANY_VALUE() function for
nondeterministic-value columns:
mysql> SELECT year, ANY_VALUE(country) AS country, SUM(profit) AS profit
FROM sales
GROUP BY year WITH ROLLUP;
+------+---------+--------+
| year | country | profit |
+------+---------+--------+
| 2000 | India | 4525 |
| 2001 | USA | 3010 |
| NULL | USA | 7535 |
+------+---------+--------+