SQL Server/T-SQL/Table Joins/SQL Server Join Syntax

SQL Server join syntax: reference table name

1> CREATE TABLE works_on        (emp_no       INTEGER NOT NULL,
2>                         project_no    CHAR(4) NOT NULL,
3>                         job CHAR (15) NULL,
4>                         enter_date    DATETIME NULL)
5>
6> insert into works_on values (1, "p1", "analyst", "1997.10.1")
7> insert into works_on values (1, "p3", "manager", "1999.1.1")
8> insert into works_on values (2, "p2", "clerk",   "1998.2.15")
9> insert into works_on values (2, "p2",  NULL,     "1998.6.1")
10> insert into works_on values (3, "p2",  NULL,     "1997.12.15")
11> insert into works_on values (4, "p3", "analyst", "1998.10.15")
12> insert into works_on values (5, "p1", "manager", "1998.4.15")
13> insert into works_on values (6, "p1",  NULL,     "1998.8.1")
14> insert into works_on values (7, "p2", "clerk",   "1999.2.1")
15> insert into works_on values (8, "p3", "clerk",   "1997.11.15")
16> insert into works_on values (7, "p1", "clerk",   "1998.1.4")
17>
18> select * from works_on
19> 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)
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>
3> CREATE TABLE employee  (emp_no    INTEGER NOT NULL,
4>                         emp_fname CHAR(20) NOT NULL,
5>                         emp_lname CHAR(20) NOT NULL,
6>                         dept_no   CHAR(4) NULL)
7>
8> insert into employee values(1,  "Matthew", "Smith",    "d3")
9> insert into employee values(2,  "Ann",     "Jones",    "d3")
10> insert into employee values(3,  "John",    "Barrimore","d1")
11> insert into employee values(4,  "James",   "James",    "d2")
12> insert into employee values(5,  "Elsa",    "Bertoni",  "d2")
13> insert into employee values(6,  "Elke",    "Hansel",   "d2")
14> insert into employee values(7,  "Sybill",  "Moser",    "d1")
15>
16> select * from employee
17> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
emp_no      emp_fname            emp_lname            dept_no
----------- -------------------- -------------------- -------
          1 Matthew              Smith                d3
          2 Ann                  Jones                d3
          3 John                 Barrimore            d1
          4 James                James                d2
          5 Elsa                 Bertoni              d2
          6 Elke                 Hansel               d2
          7 Sybill               Moser                d1
(7 rows affected)
1>
2>
3> -- SQL Server join syntax:
4>
5> SELECT dept_no
6>        FROM employee, works_on
7>        WHERE employee.emp_no = works_on.emp_no
8>        AND enter_date = "10.15.1998"
9> GO
dept_no
-------
d2
(1 rows affected)
1>
2> drop table employee
3> drop table works_on
4> GO
1>

SQL Server join syntax: table.*

1> CREATE TABLE employee  (emp_no    INTEGER NOT NULL,
2>                         emp_fname CHAR(20) NOT NULL,
3>                         emp_lname CHAR(20) NOT NULL,
4>                         dept_no   CHAR(4) NULL)
5>
6> insert into employee values(1,  "Matthew", "Smith",    "d3")
7> insert into employee values(2,  "Ann",     "Jones",    "d3")
8> insert into employee values(3,  "John",    "Barrimore","d1")
9> insert into employee values(4,  "James",   "James",    "d2")
10> insert into employee values(5,  "Elsa",    "Bertoni",  "d2")
11> insert into employee values(6,  "Elke",    "Hansel",   "d2")
12> insert into employee values(7,  "Sybill",  "Moser",    "d1")
13>
14> select * from employee
15> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
emp_no      emp_fname            emp_lname            dept_no
----------- -------------------- -------------------- -------
          1 Matthew              Smith                d3
          2 Ann                  Jones                d3
          3 John                 Barrimore            d1
          4 James                James                d2
          5 Elsa                 Bertoni              d2
          6 Elke                 Hansel               d2
          7 Sybill               Moser                d1
(7 rows affected)
1>
2>
3> CREATE TABLE department(dept_no   CHAR(4) NOT NULL,
4>                         dept_name CHAR(25) NOT NULL,
5>                         location  CHAR(30) NULL)
6>
7> insert into department values ("d1", "developer",   "Dallas")
8> insert into department values ("d2", "tester",      "Seattle")
9> insert into department values ("d3", "marketing",  "Dallas")
10>
11> select * from department
12> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
dept_no dept_name                 location
------- ------------------------- ------------------------------
d1      developer                 Dallas
d2      tester                    Seattle
d3      marketing                 Dallas
(3 rows affected)
1> -- SQL Server join syntax:
2>
3> SELECT employee.*, dept_name, location
4>        FROM employee, department
5>        WHERE employee.dept_no = department.dept_no
6> GO
emp_no      emp_fname            emp_lname            dept_no dept_name                 location
----------- -------------------- -------------------- ------- ------------------------- ------------
          1 Matthew              Smith                d3      marketing                 Dallas
          2 Ann                  Jones                d3      marketing                 Dallas
          3 John                 Barrimore            d1      developer                 Dallas
          4 James                James                d2      tester                    Seattle
          5 Elsa                 Bertoni              d2      tester                    Seattle
          6 Elke                 Hansel               d2      tester                    Seattle
          7 Sybill               Moser                d1      developer                 Dallas
(7 rows affected)
1>
2> drop table employee
3> drop table department
4> GO
1>