Joining Tables in the WHERE Clause (not ANSI standard) : Table Join « Table Join « SQL Server / T-SQL Tutorial

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SQL Server / T-SQL Tutorial » Table Join » Table Join 
4. 1. 4. Joining Tables in the WHERE Clause (not ANSI standard)
5CREATE TABLE employee(
6>    id          INTEGER NOT NULL PRIMARY KEY,
7>    first_name  VARCHAR(10),
8>    last_name   VARCHAR(10),
9>    salary      DECIMAL(10,2),
10>    start_Date  DATETIME,
11>    region      VARCHAR(10),
12>    city        VARCHAR(20)
13);
14> GO
1INSERT INTO employee VALUES (1'Jason' ,  'Martin', 5890,'2005-03-22','North','Vancouver');
2INSERT INTO employee VALUES (2'Alison',  'Mathews',4789,'2003-07-21','South','Utown');
3INSERT INTO employee VALUES (3'James' ,  'Smith',  6678,'2001-12-01','North','Paris');
4INSERT INTO employee VALUES (4'Celia' ,  'Rice',   5567,'2006-03-03','South','London');
5INSERT INTO employee VALUES (5'Robert',  'Black',  4467,'2004-07-02','East','Newton');
6INSERT INTO employee VALUES (6'Linda' ,  'Green' , 6456,'2002-05-19','East','Calgary');
7INSERT INTO employee VALUES (7'David' ,  'Larry',  5345,'2008-03-18','West','New York');
8INSERT INTO employee VALUES (8'James' ,  'Cat',    4234,'2007-07-17','West','Regina');
9INSERT INTO employee VALUES (9'Joan'  ,  'Act',    6123,'2001-04-16','North','Toronto');
10> GO

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)
1select from employee;
2> GO
id          first_name last_name  salary       start_Date              region     city
----------- ---------- ---------- ------------ ----------------------- ---------- --------------------
          Jason      Martin          5890.00 2005-03-22 00:00:00.000 North      Vancouver
          Alison     Mathews         4789.00 2003-07-21 00:00:00.000 South      Utown
          James      Smith           6678.00 2001-12-01 00:00:00.000 North      Paris
          Celia      Rice            5567.00 2006-03-03 00:00:00.000 South      London
          Robert     Black           4467.00 2004-07-02 00:00:00.000 East       Newton
          Linda      Green           6456.00 2002-05-19 00:00:00.000 East       Calgary
          David      Larry           5345.00 2008-03-18 00:00:00.000 West       New York
          James      Cat             4234.00 2007-07-17 00:00:00.000 West       Regina
          Joan       Act             6123.00 2001-04-16 00:00:00.000 North      Toronto

(rows affected)
1>
2CREATE TABLE title(
3>    id  INTEGER,
4>    job_title VARCHAR(20)
5);
6> GO
1INSERT INTO title VALUES (1'developer');
2INSERT INTO title VALUES (1'manager');
3INSERT INTO title VALUES (2'tester');
4INSERT INTO title VALUES (2'programmer');
5INSERT INTO title VALUES (3'boss');
6INSERT INTO title VALUES (4'sales');
7INSERT INTO title VALUES (5'market');
8INSERT INTO title VALUES (6'coder');
9INSERT INTO title VALUES (7'tester');
10INSERT INTO title VALUES (8'developer');
11INSERT INTO title VALUES (9'manager');
12> GO

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)
1>
2>
3SELECT employee.First_Name, title.job_title
4FROM Employee, title
5WHERE employee.ID = title.ID
6> GO
First_Name job_title
---------- --------------------
Jason      developer
Jason      manager
Alison     tester
Alison     programmer
James      boss
Celia      sales
Robert     market
Linda      coder
David      tester
James      developer
Joan       manager

(11 rows affected)
1>
2>
3> drop table employee;
4> drop table title;
5> GO
1>
2>
3>
4>
4. 1. Table Join
4. 1. 1. SQL Server 2005 join types fall into three categories: inner, outer, and cross.
4. 1. 2. Selecting authors and titles using only joins.
4. 1. 3. A SELECT statement that joins the Bankers and Billings tables
4. 1. 4. Joining Tables in the WHERE Clause (not ANSI standard)
4. 1. 5. Using the GROUP BY Clause
4. 1. 6. Joining three tables.
4. 1. 7. Joins and Subqueries
4. 1. 8. Left and Right Outer Joins
4. 1. 9. Joining Tables in the FROM Clause (ANSI standard)
4. 1. 10. Table Aliasing
4. 1. 11. Join tables with two columns
4. 1. 12. The result of the previous join is then joined to another table
4. 1. 13. SQL-92 Three-Way Inner Joins
4. 1. 14. Forcing the Order of Join Processing
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