The ALL predicate is more restrictive, in that all of the values inside the subquery must satisfy the comparison condition. : ALL « Query « SQL Server / T-SQL Tutorial

SQL Server / T-SQL Tutorial
1. Query
2. Insert Delete Update
3. Table
4. Table Join
5. Data Types
6. Set Operations
7. Constraints
8. Subquery
9. Aggregate Functions
10. Date Functions
11. Math Functions
12. String Functions
13. Data Convert Functions
14. Analytical Functions
15. Sequence Indentity
16. View
17. Index
18. Cursor
19. Database
20. Transact SQL
21. Procedure Function
22. Trigger
23. Transaction
24. XML
25. System Functions
26. System Settings
27. System Tables Views
28. User Role
29. CLR
Java
Java Tutorial
Java Source Code / Java Documentation
Java Open Source
Jar File Download
Java Articles
Java Products
Java by API
Photoshop Tutorials
Maya Tutorials
Flash Tutorials
3ds-Max Tutorials
Illustrator Tutorials
GIMP Tutorials
C# / C Sharp
C# / CSharp Tutorial
C# / CSharp Open Source
ASP.Net
ASP.NET Tutorial
JavaScript DHTML
JavaScript Tutorial
JavaScript Reference
HTML / CSS
HTML CSS Reference
C / ANSI-C
C Tutorial
C++
C++ Tutorial
Ruby
PHP
Python
Python Tutorial
Python Open Source
SQL Server / T-SQL
Oracle PL / SQL
Oracle PL/SQL Tutorial
PostgreSQL
SQL / MySQL
MySQL Tutorial
VB.Net
VB.Net Tutorial
Flash / Flex / ActionScript
VBA / Excel / Access / Word
XML
XML Tutorial
Microsoft Office PowerPoint 2007 Tutorial
Microsoft Office Excel 2007 Tutorial
Microsoft Office Word 2007 Tutorial
SQL Server / T-SQL Tutorial » Query » ALL 
1. 16. 1. The ALL predicate is more restrictive, in that all of the values inside the subquery must satisfy the comparison condition.
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>    managerid   INTEGER
14);
15> GO
1INSERT INTO employee VALUES (1'Jason' ,  'Martin', 5890,'2005-03-22','North','Vancouver',3);
2> GO

(rows affected)
1INSERT INTO employee VALUES (2'Alison',  'Mathews',4789,'2003-07-21','South','Utown',4);
2> GO

(rows affected)
1INSERT INTO employee VALUES (3'James' ,  'Smith',  6678,'2001-12-01','North','Paris',5);
2> GO

(rows affected)
1INSERT INTO employee VALUES (4'Celia' ,  'Rice',   5567,'2006-03-03','South','London',6);
2> GO

(rows affected)
1INSERT INTO employee VALUES (5'Robert',  'Black',  4467,'2004-07-02','East','Newton',7);
2> GO

(rows affected)
1INSERT INTO employee VALUES (6'Linda' ,  'Green' , 6456,'2002-05-19','East','Calgary',8);
2> GO

(rows affected)
1INSERT INTO employee VALUES (7'David' ,  'Larry',  5345,'2008-03-18','West','New York',9);
2> GO

(rows affected)
1INSERT INTO employee VALUES (8'James' ,  'Cat',    4234,'2007-07-17','West','Regina',9);
2> GO

(rows affected)
1INSERT INTO employee VALUES (9'Joan'  ,  'Act',    6123,'2001-04-16','North','Toronto',10);
2> GO

(rows affected)
1>
2select from employee;
3> GO
id          first_name last_name  salary       start_Date              region     city                 managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
          Jason      Martin          5890.00 2005-03-22 00:00:00.000 North      Vancouver                      3
          Alison     Mathews         4789.00 2003-07-21 00:00:00.000 South      Utown                          4
          James      Smith           6678.00 2001-12-01 00:00:00.000 North      Paris                          5
          Celia      Rice            5567.00 2006-03-03 00:00:00.000 South      London                         6
          Robert     Black           4467.00 2004-07-02 00:00:00.000 East       Newton                         7
          Linda      Green           6456.00 2002-05-19 00:00:00.000 East       Calgary                        8
          David      Larry           5345.00 2008-03-18 00:00:00.000 West       New York                       9
          James      Cat             4234.00 2007-07-17 00:00:00.000 West       Regina                         9
          Joan       Act             6123.00 2001-04-16 00:00:00.000 North      Toronto                       10

(rows affected)
1>
2>
3SELECT
4>   *
5FROM
6>     employee AS T
7WHERE
8>     < ALL
9(
10>   SELECT
11>     COUNT (*)
12>   FROM
13>       Employee
14>   where id = 10
15)
16>
17>
18>
19>
20> drop table employee;
21> GO
id          first_name last_name  salary       start_Date              region     city                 managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------

(rows affected)
1. 16. ALL
1. 16. 1. The ALL predicate is more restrictive, in that all of the values inside the subquery must satisfy the comparison condition.
1. 16. 2. Finding the Most Recently Shipped Employee Using ALL
1. 16. 3. Finding the Most Recently Shipped Employee Using ALL with NULL Handling
1. 16. 4. Finding the Last Row in Employee Using ALL
1. 16. 5. Finding the First Order for Each Customer Using the ALL Predicate
1. 16. 6. A SELECT statement that returns all rows
1. 16. 7. How the ALL keyword works
1. 16. 8. The ALL operator evaluates to true if the evaluation of the table column in the inner query returns all values of that column.
www.java2java.com | Contact Us
Copyright 2009 - 12 Demo Source and Support. All rights reserved.
All other trademarks are property of their respective owners.