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# The power of the ROLLUP and CUBE function

## Understand the power of the ROLLUP and CUBE functions with this discussion and examples.

To appreciate the power of the ROLLUP and CUBE functions, consider the following SQL statement:

ora816 SamSQL :> COMPUTE sum of totsal on deptno
ora816 SamSQL :> BREAK on deptno
ora816 SamSQL :> SELECT deptno,job,sum(sal)
totsal from emp group by deptno,job;

DEPTNO JOB           TOTSAL
---------- --------- ----------
10 CLERK           1300
MANAGER         2450
PRESIDENT       5000
**********           ----------
sum                        8750
20 ANALYST         6000
CLERK           1900
MANAGER         2975
**********           ----------
sum                       10875
30 CLERK            950
MANAGER         2850
SALESMAN        5600
**********           ----------
sum                        9400

Now compare the use of the ROLLUP function:

ora816 SamSQL :> select deptno,job,sum(sal)
totsal from emp group by ROLLUP(deptno,job);

DEPTNO JOB           TOTSAL
---------- --------- ----------
10 CLERK           1300
10 MANAGER         2450
10 PRESIDENT       5000
10                 8750   Total of Deptno 10
20 ANALYST         6000
20 CLERK           1900
20 MANAGER         2975
20                10875
30 CLERK            950
30 MANAGER         2850
30 SALESMAN        5600
30                 9400
29025   Grand Total

If you compare the two outputs, you will notice that you are getting the same results. By using ROLLUP you can avoid using the COMPUTE and GROUP BY functions from SQL. This will mostly helpful in PL/SQL.

Now let's look at the use of the CUBE function:

ora816 SamSQL :> select deptno,job,sum(sal)
totsal from emp group by CUBE(deptno,job);

DEPTNO JOB           TOTSAL
---------- --------- ----------
10 CLERK           1300
10 MANAGER         2450
10 PRESIDENT       5000
10                 8750   Total of Deptno 10
20 ANALYST         6000
20 CLERK           1900
20 MANAGER         2975
20                10875
30 CLERK            950
30 MANAGER         2850
30 SALESMAN        5600
30                 9400
ANALYST         6000
CLERK           4150
MANAGER         8275    Total w.r.t JOB
PRESIDENT       5000
SALESMAN        5600
Grand Total   29025

CUBE also does a total with respect to the second group--JOB in our case. Finally, you will see the grand total at the end.

In conclusion, ROLLUP and CUBE are aggregate functions that allows developers and DBA's avoid COMPUTE and GROUP BY functions and thus simplify programming logic.

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This was last published in March 2001

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