- Introduction To MySQL
- MySQL RDBMS
- MySQL SQL
- MySQL SELECT Statement
- MySQL WHERE Clause
- MySQL AND, OR And NOT Operators
- MySQL ORDER BY Keyword
- MySQL INSERT INTO Statement
- MySQL NULL Values
- MySQL UPDATE Statement
- MySQL DELETE Statement
- MySQL LIMIT Clause
- MySQL MIN() And MAX() Functions
- MySQL COUNT(), AVG() And SUM() Functions
- MySQL LIKE Operator
- MySQL Wildcards
- MySQL IN Operator
- MySQL BETWEEN
- MySQL Aliases
- MySQL Joins
- MySQL INNER JOIN Keyword
- MySQL LEFT JOIN Keyword
- MySQL RIGHT JOIN Keyword
- MySQL CROSS JOIN Keyword
- MySQL Self Join
- MySQL UNION Operator
- MySQL GROUP BY Statement
- MySQL HAVING Clause
- MySQL EXISTS Operator
- MySQL ANY And ALL Operators
- MySQL INSERT INTO SELECT Statement
- MySQL CASE Statement
- MySQL NULL Functions
- MySQL Comments
- MySQL Operators
- MySQL CREATE DATABASE Statement
- MySQL DROP DATABASE Statement
- MySQL CREATE TABLE Statement
- MySQL DROP TABLE Statement
- MySQL ALTER TABLE Statement
- MySQL Constraints
- MySQL NOT NULL Constraint
- MySQL UNIQUE Constraint
- MySQL PRIMARY KEY Constraint
- MySQL FOREIGN KEY Constraint
- MySQL CHECK Constraint
- MySQL DEFAULT Constraint
- MySQL CREATE INDEX Statement
- MySQL AUTO INCREMENT Field
- MySQL Working With Dates
- MySQL Views
- MySQL Data Types
- MySQL Functions
MySQL ANY and ALL Operators
The MySQL ANY And ALL Operators
The ANY and ALL operators allow you to perform a comparison between a single column value and a range of other values.
The ANY Operator
The ANY operator:
returns a boolean value as a result
returns TRUE if ANY of the subquery values meet the condition
ANY means that the condition will be true if the operation is true for any of the values in the range.
ANY Syntax
FROM table_name
WHERE column_name operator ANY
(SELECT column_name
FROM table_name
WHERE condition);
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The ALL Operator
The ALL operator:
returns a boolean value as a result
returns TRUE if ALL of the subquery values meet the condition
is used with SELECT, WHERE and HAVING statements
ALL means that the condition will be true only if the operation is true for all values in the range.
ALL Syntax With SELECT
FROM table_name
WHERE condition;
ALL Syntax With WHERE or HAVING
FROM table_name
WHERE column_name operator ALL
(SELECT column_name
FROM table_name
WHERE condition);
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Demo Database
Below is a selection from the "Products" table in the Northwind sample database:
ProductID | ProductName | SupplierID | CategoryID | Unit | Price |
---|---|---|---|---|---|
1 | Chais | 1 | 1 | 10 boxes x 20 bags | 18 |
2 | Chang | 1 | 1 | 24 - 12 oz bottles | 19 |
3 | Aniseed Syrup | 1 | 2 | 12 - 550 ml bottles | 10 |
4 | Chef Anton's Cajun Seasoning | 2 | 2 | 48 - 6 oz jars | 22 |
5 | Chef Anton's Gumbo Mix | 2 | 2 | 36 boxes | 21.35 |
6 | Grandma's Boysenberry Spread | 3 | 2 | 12 - 8 oz jars | 25 |
7 | Uncle Bob's Organic Dried Pears | 3 | 7 | 12 - 1 lb pkgs. | 30 |
8 | Northwoods Cranberry Sauce | 3 | 2 | 12 - 12 oz jars | 40 |
9 | Mishi Kobe Niku | 4 | 6 | 18 - 500 g pkgs. | 97 |
And a selection from the "OrderDetails" table:
OrderDetailID | OrderID | ProductID | Quantity |
---|---|---|---|
1 | 10248 | 11 | 12 |
2 | 10248 | 42 | 10 |
3 | 10248 | 72 | 5 |
4 | 10249 | 14 | 9 |
5 | 10249 | 51 | 40 |
6 | 10250 | 41 | 10 |
7 | 10250 | 51 | 35 |
8 | 10250 | 65 | 15 |
9 | 10251 | 22 | 6 |
10 | 10251 | 57 | 15 |
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SQL ANY Examples
The following SQL statement lists the ProductName if it finds ANY records in the OrderDetails table has Quantity equal to 10 (this will return TRUE because the Quantity column has some values of 10):
FROM Products
WHERE ProductID = ANY
(SELECT ProductID
FROM OrderDetails
WHERE Quantity = 10);
The following SQL statement lists the ProductName if it finds ANY records in the OrderDetails table has Quantity larger than 99 (this will return TRUE because the Quantity column has some values larger than 99):
FROM Products
WHERE ProductID = ANY
(SELECT ProductID
FROM OrderDetails
WHERE Quantity > 99);
The following SQL statement lists the ProductName if it finds ANY records in the OrderDetails table has Quantity larger than 1000 (this will return FALSE because the Quantity column has no values larger than 1000):
FROM Products
WHERE ProductID = ANY
(SELECT ProductID
FROM OrderDetails
WHERE Quantity > 1000);
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SQL ALL Examples
The following SQL statement lists ALL the product names:
FROM Products
WHERE TRUE;
The following SQL statement lists the ProductName if ALL the records in the OrderDetails table has Quantity equal to 10. This will of course return FALSE because the Quantity column has many different values (not only the value of 10):
FROM Products
WHERE ProductID = ALL
(SELECT ProductID
FROM OrderDetails
WHERE Quantity = 10);
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