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Oracle cube syntax

Oracle Tips by Burleson Consulting

 

Group By Cube

The GROUP BY CUBE clause produces a subtotal line for each department number, and calculates a total for each job in each department, a grand total at the end of the query, and a total for each job in the following example. The GROUP BY ROLLUP does not return the totals for each job, but does return everything else like the GROUP BY CUBE.

SQL> SELECT    DEPTNO, JOB, COUNT(*)
     FROMEMP
     GROUP BY CUBE(DEPTNO,JOB);

DEPTNO    JOB      COUNT(*)
---------------------------
10      CLERK      1
10      MANAGER    1
10      PRESIDENT  1
10                   3
20      ANALYST    2
20      CLERK      2
20      MANAGER    1
 

Use the Oracle CUBE Function

This group by cube SQL will use the CUBE operator to calculate the aggregates and reproduce aggregates for each publisher, and the grand total aggregates at the end of the report.

col pub_name   format a16
col book_type  format a15
col nbr_titles format 999,999
col sum_sold   format 999,999

break on pub_name

SELECT
   pub_name,
   book_type,
   count(*) nbr_titles,
   sum(quantity) sum_sold
FROM
   publisher
natural join
   book
natural join
   sales
GROUP BY
   CUBE(pub_name, book_type)

 

Create cross-tabular reports with CUBE


In multidimensional jargon, a “cube” is a cross-tabulated summary of detail rows.  CUBE enables a SELECT statement to calculate subtotals for all possible combinations of a group of dimensions. It also calculates a grand total. This is the set of information typically needed for all cross-tabular reports, so CUBE can calculate a cross-tabular report with a single select statement. 
 
Note in the example below that totals are calculated for each department, and also for each job category.
 
SELECT
   deptno,
   job,
   count(*),
   sum(sal)
FROM
   emp
GROUP BY
   CUBE(deptno,job);
 
   DEPTNO JOB         COUNT(*)   SUM(SAL)
--------- --------- ---------   ---------
       10 CLERK              1       1300
       10 MANAGER            1       2450
       10 PRESIDENT          1       5000
       10                    3       8750
       20 ANALYST            2       6000
       20 CLERK              2       1900
       20 MANAGER            1       2975
       20                    5      10875
       30 CLERK              1        950
       30 MANAGER            1       2850
       30 SALESMAN           4       5600
       30                    6       9400
          ANALYST            2       6000
          CLERK              4       4150
          MANAGER            3       8275
          PRESIDENT          1       5000
          SALESMAN           4       5600
                            14      29025
 

Related Oracle CUBE Articles:

Understanding Oracle OLAP Dimensions and Cubes

Analytical Oracle SQL functions - rollup - cube

Inside Oracle cubes

Oracle SQL Tuning and CBO Internal - Group By Cube

Oracle SQL Tuning and CBO Internal - Group By Rollup

Using the Oracle CUBE Function

ALL_CUBES view tips


 

 

  
 
  
 
 
 

 
 
 

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