Count distinct with group by : DISTINCT « Select Query « Oracle PL / SQL

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Oracle PL / SQL » Select Query » DISTINCT 
Count distinct with group by
 
SQL> create table offerings
  2  course     VARCHAR2(6)
  3  , begindate  DATE
  4  , Coder      NUMBER(4)
  5  , location   VARCHAR2(8)
  6  ;

Table created.

SQL> insert into offerings values ('SQL',date '2009-04-12',13,'DALLAS' );

row created.

SQL> insert into offerings values ('OAU',date '2009-08-10',4,'CHICAGO');

row created.

SQL> insert into offerings values ('SQL',date '2009-10-04',1,'SEATTLE');

row created.

SQL> insert into offerings values ('SQL',date '2009-12-13',1,'DALLAS' );

row created.

SQL> insert into offerings values ('JAV',date '2009-12-13',4,'SEATTLE');

row created.

SQL> insert into offerings values ('XML',date '2000-02-03',1,'DALLAS' );

row created.

SQL> insert into offerings values ('JAV',date '2000-02-01',11,'DALLAS' );

row created.

SQL> insert into offerings values ('PLS',date '2000-09-11',8,'DALLAS' );

row created.

SQL> insert into offerings values ('XML',date '2000-09-18',NULL,'SEATTLE');

row created.

SQL> insert into offerings values ('OAU',date '2000-09-27',13,'DALLAS' );

row created.

SQL> insert into offerings values ('ERM',date '2001-01-15',NULL, NULL    );

row created.

SQL> insert into offerings values ('PRO',date '2001-02-19',NULL,'DALLAS' );

row created.

SQL> insert into offerings values ('RSD',date '2001-02-24',8,'CHICAGO');

row created.

SQL>
SQL> select Coder
  2  ,      count(distinct course)
  3  ,      count(*)
  4  from   offerings
  5  group  by Coder;

     CODER COUNT(DISTINCTCOURSE)   COUNT(*)
---------- --------------------- ----------
         1                     2          3
         4                     2          2
         8                     2          2
        11                     1          1
        13                     2          2
                               3          3

rows selected.

SQL>
SQL>
SQL> drop table offerings;

Table dropped.

   
  
Related examples in the same category
1. Remember that the DISTINCT operator applies to the entire select list
2. DISTINCT: Eliminating duplication in the result set
3. DISTINCT operator inside a group function
4. DISTINCT clause can be used with more than one field
5. Eliminating Duplicate Data Using DISTINCT
6. Eliminating Duplicate Date type Data Using DISTINCT
7. DISTINCT tableName.*
8. Distinct city and state
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