036 SQL ANY ALL

The SQL ANY and ALL Operators page explains how to use the ANY and ALL operators in SQL to compare a value against a set of values returned by a subquery:

The page provides working examples using the Northwind sample database, such as pulling product names based on quantities in an order, and includes an exercise to test correct usage of the ANY operator. Both operators require using standard SQL comparison operators (e.g., =, <>, !=, >, <, >=, <=).[1]

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SQL ANY and ALL Operators

The SQL 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 SQL ANY Operator

The ANY operator:

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 SQL ALL Operator

The ALL operator:

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):

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);

SQL ALL Examples

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);