Update data and table join : Update Data « Transact SQL « SQL Server / T-SQL

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SQL Server / T-SQL » Transact SQL » Update Data 
Update data and table join

1CREATE TABLE works_on        (emp_no       INTEGER NOT NULL,
2>                         project_no    CHAR(4NOT NULL,
3>                         job CHAR (15NULL,
4>                         enter_date    DATETIME NULL)
5>
6insert into works_on values (1'p1', 'analyst', '1997.10.1')
7insert into works_on values (1'p3', 'manager', '1999.1.1')
8insert into works_on values (2'p2', 'clerk',   '1998.2.15')
9insert into works_on values (2'p2',  NULL,     '1998.6.1')
10insert into works_on values (3'p2',  NULL,     '1997.12.15')
11insert into works_on values (4'p3', 'analyst', '1998.10.15')
12insert into works_on values (5'p1', 'manager', '1998.4.15')
13insert into works_on values (6'p1',  NULL,     '1998.8.1')
14insert into works_on values (7'p2', 'clerk',   '1999.2.1')
15insert into works_on values (8'p3', 'clerk',   '1997.11.15')
16insert into works_on values (7'p1', 'clerk',   '1998.1.4')
17>
18select from works_on
19> GO

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)
emp_no      project_no job             enter_date
----------- ---------- --------------- -----------------------
          p1         analyst         1997-10-01 00:00:00.000
          p3         manager         1999-01-01 00:00:00.000
          p2         clerk           1998-02-15 00:00:00.000
          p2         NULL            1998-06-01 00:00:00.000
          p2         NULL            1997-12-15 00:00:00.000
          p3         analyst         1998-10-15 00:00:00.000
          p1         manager         1998-04-15 00:00:00.000
          p1         NULL            1998-08-01 00:00:00.000
          p2         clerk           1999-02-01 00:00:00.000
          p3         clerk           1997-11-15 00:00:00.000
          p1         clerk           1998-01-04 00:00:00.000

(11 rows affected)
1>
2CREATE TABLE employee  (emp_no    INTEGER NOT NULL,
3>                         emp_fname CHAR(20NOT NULL,
4>                         emp_lname CHAR(20NOT NULL,
5>                         dept_no   CHAR(4NULL)
6>
7insert into employee values(1,  'Matthew', 'Smith',    'd3')
8insert into employee values(2,  'Ann',     'Jones',    'd3')
9insert into employee values(3,  'John',    'Barrimore','d1')
10insert into employee values(4,  'James',   'James',    'd2')
11insert into employee values(5,  'Elsa',    'Bertoni',  'd2')
12insert into employee values(6,  'Elke',    'Hansel',   'd2')
13insert into employee values(7,  'Sybill',  'Moser',    'd1')
14>
15select from employee
16> GO

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)
emp_no      emp_fname            emp_lname            dept_no
----------- -------------------- -------------------- -------
          Matthew              Smith                d3
          Ann                  Jones                d3
          John                 Barrimore            d1
          James                James                d2
          Elsa                 Bertoni              d2
          Elke                 Hansel               d2
          Sybill               Moser                d1

(rows affected)
1>
2>
3UPDATE works_on SET job = NULL FROM works_on, employee
4WHERE emp_lname = 'Jones' AND works_on.emp_no = employee.emp_no
5> GO

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

(11 rows affected)
1> drop table works_on
2> drop table employee
3> GO
1>

           
       
Related examples in the same category
1. Update two tables in one procedure
2. Create procedure to update table based on parameters passed in
3. Do calculation in update statement in a procedure
4. Update data set returning from the function
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