Order by job title ascending but birthday descending : Order By « Select Query « Oracle PL / SQL

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Oracle PL / SQL » Select Query » Order By 
Order by job title ascending but birthday descending
  
SQL>
SQL>
SQL> create table emp
  2  empno      NUMBER(4)    constraint E_PK primary key
  3  , ename      VARCHAR2(8)
  4  , init       VARCHAR2(5)
  5  , job        VARCHAR2(8)
  6  , mgr        NUMBER(4)
  7  , bdate      DATE
  8  , sal        NUMBER(6,2)
  9  , comm       NUMBER(6,2)
 10  , deptno     NUMBER(2)    default 10
 11  ;

Table created.

SQL> insert into emp values(1,'Tom','N',   'TRAINER', 13,date '1965-12-17',  800 , NULL,  20);

row created.

SQL> insert into emp values(2,'Jack','JAM', 'Tester',6,date '1961-02-20',  1600300,   30);

row created.

SQL> insert into emp values(3,'Wil','TF' ,  'Tester',6,date '1962-02-22',  1250500,   30);

row created.

SQL> insert into emp values(4,'Jane','JM',  'Designer', 9,date '1967-04-02',  2975, NULL,  20);

row created.

SQL> insert into emp values(5,'Mary','P',  'Tester',6,date '1956-09-28',  12501400,  30);

row created.

SQL> insert into emp values(6,'Black','R',   'Designer', 9,date '1963-11-01',  2850, NULL,  30);

row created.

SQL> insert into emp values(7,'Chris','AB',  'Designer', 9,date '1965-06-09',  2450, NULL,  10);

row created.

SQL> insert into emp values(8,'Smart','SCJ', 'TRAINER', 4,date '1959-11-26',  3000, NULL,  20);

row created.

SQL> insert into emp values(9,'Peter','CC',   'Designer',NULL,date '1952-11-17',  5000, NULL,  10);

row created.

SQL> insert into emp values(10,'Take','JJ', 'Tester',6,date '1968-09-28',  15000,     30);

row created.

SQL> insert into emp values(11,'Ana','AA',  'TRAINER', 8,date '1966-12-30',  1100, NULL,  20);

row created.

SQL> insert into emp values(12,'Jane','R',   'Manager',   6,date '1969-12-03',  800 , NULL,  30);

row created.

SQL> insert into emp values(13,'Fake','MG',   'TRAINER', 4,date '1959-02-13',  3000, NULL,  20);

row created.

SQL> insert into emp values(14,'Mike','TJA','Manager',   7,date '1962-01-23',  1300, NULL,  10);

row created.

SQL>
SQL> select *
  2  from   emp
  3  order  by job, bdate desc;
Enter...

     Jane     JM    Designer      9 02-04-1967   2975  [N/A]     20
     Chris    AB    Designer      9 09-06-1965   2450  [N/A]     10
     Black    R     Designer      9 01-11-1963   2850  [N/A]     30
     Peter    CC    Designer  [N/A17-11-1952   5000  [N/A]     10
    12 Jane     R     Manager       6 03-12-1969    800  [N/A]     30
    14 Mike     TJA   Manager       7 23-01-1962   1300  [N/A]     10
    10 Take     JJ    Tester        6 28-09-1968   1500      0     30
     Wil      TF    Tester        6 22-02-1962   1250    500     30
     Jack     JAM   Tester        6 20-02-1961   1600    300     30
     Mary     P     Tester        6 28-09-1956   1250   1400     30
    11 Ana      AA    TRAINER       8 30-12-1966   1100  [N/A]     20
     Tom      N     TRAINER      13 17-12-1965    800  [N/A]     20
     Smart    SCJ   TRAINER       4 26-11-1959   3000  [N/A]     20
    13 Fake     MG    TRAINER       4 13-02-1959   3000  [N/A]     20

14 rows selected.

SQL>
SQL> drop table emp;

Table dropped.

   
    
  
Related examples in the same category
1. Ordering data in the SELECT statement ascending
2. Order two columns
3. Query a number type column with order by desc
4. ORDER BY clause with more than one column:by the first column, and within that column, orders by the second
5. Specify ascending or descending for each column
6. Ordering data in the SELECT statement descending
7. Order the results by the average salary
8. Query specific columns with order by clause
9. Use aggregate function in order by clause
10. Query the same column in where statement and order by clause
11. order by 3, 2, 1
12. Get order number by using rownum column
13. DESC for descending
14. ORDER BY with all logic operators
15. Order by date value then by number value
16. Order by columns from different tables
17. Order by index
18. Order by name and department number for salary higher than 1500
19. Order by price which is more than 50
20. Order by renamed column
21. Order by renamed column descendingly
22. Order by three columns
23. Order by, range unbounded preceding
24. Order date value by only year field with extract() function
25. Order for one column descendingly
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