Use CUBE and RANK() to get all rankings of sales by product type ID and employee ID : Cube « Analytical Functions « Oracle PL / SQL

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Oracle PL / SQL » Analytical Functions » Cube 
Use CUBE and RANK() to get all rankings of sales by product type ID and employee ID
 


SQL> CREATE TABLE all_sales (
  2    year INTEGER,
  3    month INTEGER,
  4    prd_type_id INTEGER,
  5    emp_id INTEGER ,
  6    amount NUMBER(82)
  7  );

Table created.

SQL>
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,1    ,1          ,21    ,16034.84);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,2    ,1          ,21    ,15644.65);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,3    ,2          ,21    ,20167.83);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,4    ,2          ,21    ,25056.45);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,5    ,2          ,21    ,NULL);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,6    ,1          ,21    ,15564.66);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,7    ,1          ,21    ,15644.65);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,8    ,1          ,21    ,16434.82);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,9    ,1          ,21    ,19654.57);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,10   ,1          ,21    ,21764.19);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,11   ,1          ,21    ,13026.73);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2006,12   ,2          ,21    ,10034.64);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,1    ,2          ,22    ,16634.84);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,1    ,2          ,21    ,26034.84);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,2    ,1          ,21    ,12644.65);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,3    ,1          ,21    ,NULL);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,4    ,1          ,21    ,25026.45);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,5    ,1          ,21    ,17212.66);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,6    ,1          ,21    ,15564.26);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,7    ,2          ,21    ,62654.82);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,8    ,2          ,21    ,26434.82);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,9    ,2          ,21    ,15644.65);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,10   ,2          ,21    ,21264.19);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,11   ,1          ,21    ,13026.73);

row created.

SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
  2                  values(2005,12   ,1          ,21    ,10032.64);

row created.

SQL>
SQL> select from all_sales;

      YEAR      MONTH PRD_TYPE_ID     EMP_ID     AMOUNT
---------- ---------- ----------- ---------- ----------
      2006          1           1         21   16034.84
      2006          2           1         21   15644.65
      2006          3           2         21   20167.83
      2006          4           2         21   25056.45
      2006          5           2         21
      2006          6           1         21   15564.66
      2006          7           1         21   15644.65
      2006          8           1         21   16434.82
      2006          9           1         21   19654.57
      2006         10           1         21   21764.19
      2006         11           1         21   13026.73
      2006         12           2         21   10034.64
      2005          1           2         22   16634.84
      2005          1           2         21   26034.84
      2005          2           1         21   12644.65
      2005          3           1         21
      2005          4           1         21   25026.45
      2005          5           1         21   17212.66
      2005          6           1         21   15564.26
      2005          7           2         21   62654.82
      2005          8           2         21   26434.82
      2005          9           2         21   15644.65
      2005         10           2         21   21264.19
      2005         11           1         21   13026.73
      2005         12           1         21   10032.64

25 rows selected.

SQL>
SQL> --Use CUBE and RANK() to get all rankings of sales by product type ID and employee ID
SQL>
SQL> SELECT
  2   prd_type_id, emp_id, SUM(amount),
  3   RANK() OVER (ORDER BY SUM(amountDESCAS rank
  4  FROM all_sales
  5  GROUP BY CUBE(prd_type_id, emp_id)
  6  ORDER BY prd_type_id, emp_id;

PRD_TYPE_ID     EMP_ID SUM(AMOUNT)       RANK
----------- ---------- ----------- ----------
          1         21    227276.5          3
          1               227276.5          3
          2         21   207292.24          6
          2         22    16634.84          7
          2              223927.08          5
                    21   434568.74          2
                    22    16634.84          7
                         451203.58          1

rows selected.

SQL>
SQL> drop table all_sales;

Table dropped.

SQL>
SQL>
           
         
  
Related examples in the same category
1. Cube implies reducing tables by rolling up different columns (dimensions)
2. Grouping with Cube
3. CUBE clause: return rows containing a subtotal for all combinations of columns included in the CUBE clause along with a total
4. The sequence of the columns passed into Cube function
5. Demonstrate Partial CUBE operation
6. use GROUPING SETS to produce just a subset of CUBE
7. Count employees, group by CUBE(department no, job title)
8. group by CUBE(department no, job title)
9. group by cube
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