Demystify SQL ANY and ALL operators! Elevate your query skills with practical examples, mastering advanced comparison techniques for precise database analysis.
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:
ANY
means that the condition will be true if the operation is true for any of the values in the range.
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:
SELECT
, WHERE
and HAVING
statementsALL
means that the condition will be true only if the operation is true for all values in the range.
SELECT ALL column_name(s)
FROM table_name
WHERE condition;
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 <=).
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 |
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):
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):
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):
SELECT ProductName
FROM Products
WHERE ProductID = ANY
(SELECT ProductID
FROM OrderDetails
WHERE Quantity > 1000);
The following SQL statement lists ALL the product names:
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):
SELECT ProductName
FROM Products
WHERE ProductID = ALL
(SELECT ProductID
FROM OrderDetails
WHERE Quantity = 10);
#sql