Selectively Query Grouped data using HAVING : Having « Query « SQL Server / T-SQL Tutorial

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SQL Server / T-SQL Tutorial » Query » Having 
1. 5. 7. Selectively Query Grouped data using HAVING
4>
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)

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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)

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1>
2>
3SELECT s.first_Name,
4> COUNT(w.IDCnt
5FROM employee s
6> INNER JOIN title w ON
7> s.ID = w.ID
8> GROUP BY s.first_Name
9> HAVING COUNT(*)>3
10>
11>
12>
13> drop table employee;
14> drop table title;
15> GO
first_Name Cnt
---------- -----------

(rows affected)
1. 5. Having
1. 5. 1. The syntax of the SELECT statement with the GROUP BY and HAVING clauses
1. 5. 2. HAVING clause defines the condition that is then applied to groups of rows.
1. 5. 3. The HAVING clause can also be used without aggregates.
1. 5. 4. Having and table join
1. 5. 5. A summary query with a search condition in the HAVING clause
1. 5. 6. A summary query with a compound condition in the HAVING clause
1. 5. 7. Selectively Query Grouped data using HAVING
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