Using select into to create a temporary table : Select Into « Select Query « SQL Server / T-SQL






Using select into to create a temporary table

33>
34> CREATE TABLE works_on       (emp_no       INTEGER NOT NULL,
35>                         project_no    CHAR(4) NOT NULL,
36>                         job CHAR (15) NULL,
37>                         enter_date    DATETIME NULL)
38>
39> insert into works_on values (1, 'p1', 'analyst', '1997.10.1')
40> insert into works_on values (1, 'p3', 'manager', '1999.1.1')
41> insert into works_on values (2, 'p2', 'clerk',   '1998.2.15')
42> insert into works_on values (2, 'p2',  NULL,     '1998.6.1')
43> insert into works_on values (3, 'p2',  NULL,     '1997.12.15')
44> insert into works_on values (4, 'p3', 'analyst', '1998.10.15')
45> insert into works_on values (5, 'p1', 'manager', '1998.4.15')
46> insert into works_on values (6, 'p1',  NULL,     '1998.8.1')
47> insert into works_on values (7, 'p2', 'clerk',   '1999.2.1')
48> insert into works_on values (8, 'p3', 'clerk',   '1997.11.15')
49> insert into works_on values (7, 'p1', 'clerk',   '1998.1.4')
50> GO

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)

(1 rows affected)
1> select * from works_on
2> GO
emp_no      project_no job             enter_date
----------- ---------- --------------- -----------------------
          1 p1         analyst         1997-10-01 00:00:00.000
          1 p3         manager         1999-01-01 00:00:00.000
          2 p2         clerk           1998-02-15 00:00:00.000
          2 p2         NULL            1998-06-01 00:00:00.000
          3 p2         NULL            1997-12-15 00:00:00.000
          4 p3         analyst         1998-10-15 00:00:00.000
          5 p1         manager         1998-04-15 00:00:00.000
          6 p1         NULL            1998-08-01 00:00:00.000
          7 p2         clerk           1999-02-01 00:00:00.000
          8 p3         clerk           1997-11-15 00:00:00.000
          7 p1         clerk           1998-01-04 00:00:00.000

(11 rows affected)
1>
2> -- Remove duplicate data and create a unique index
3>
4> SELECT emp_no, MAX(enter_date) max_date
5>              INTO #works_on
6>              FROM works_on
7>              GROUP BY emp_no
8>              HAVING COUNT(*) > 1
9> GO

(3 rows affected)
1> DELETE works_on FROM works_on, #works_on
2>              WHERE works_on.emp_no = #works_on.emp_no
3>              AND works_on.enter_date < #works_on.max_date
4> GO

(3 rows affected)
1> select * from works_on
2> GO
emp_no      project_no job             enter_date
----------- ---------- --------------- -----------------------
          1 p3         manager         1999-01-01 00:00:00.000
          2 p2         NULL            1998-06-01 00:00:00.000
          3 p2         NULL            1997-12-15 00:00:00.000
          4 p3         analyst         1998-10-15 00:00:00.000
          5 p1         manager         1998-04-15 00:00:00.000
          6 p1         NULL            1998-08-01 00:00:00.000
          7 p2         clerk           1999-02-01 00:00:00.000
          8 p3         clerk           1997-11-15 00:00:00.000

(8 rows affected)
1> drop table works_on
2> drop table #works_on
3> GO
1>
2>

           
       








Related examples in the same category

1.Select data into
2.Insert into a temporary table