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
SELECT column_name(s)
FROM table_name
WHERE column_name operator ANY
(SELECT column_name
FROM table_name
WHERE condition);
Note: The operator must be a standard comparison operator (=, <>, !=, >, >=, <, or <=).
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
andHAVING
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
SELECT ALL column_name(s)
FROM table_name
WHERE condition;
ALL Syntax With WHERE or HAVING
SELECT column_name(s)
FROM table_name
WHERE column_name operator ALL
(SELECT column_name
FROM table_name
WHERE condition);
Note: The operator must be a standard comparison operator (=, <>, !=, >, >=, <, or <=).
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 |
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):
Example
SELECT ProductName
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):
Example
SELECT ProductName
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):
Example
SELECT ProductName
FROM Products
WHERE ProductID = ANY
(SELECT ProductID
FROM OrderDetails
WHERE Quantity > 1000);
SQL ALL Examples
The following SQL statement lists ALL the product names:
Example
SELECT ALL ProductName
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):
Example
SELECT ProductName
FROM Products
WHERE ProductID = ALL
(SELECT ProductID
FROM OrderDetails
WHERE Quantity = 10);