In SQL Server there are many different types of Logical operators like ANY, AND, LIKE, EXISTS, NOT, IN, and BETWEEN. The logical operators are used to perform conditional checks in SQL Queries. These operators are very useful to filter and compare single or multiple data in SQL Queries. In this article let us discuss the 'ANY' operator available in SQL Server.
ANY Operator
The ANY operator in SQL Server compares a column value or literal value with a single-column set of values returned by subquery. The data type of the single column in the subquery should be the same as the data type of the scalar expression column value.
Syntax:
[scalar_expression] [comparison_operator] ANY (subquery)
- scalar_expression: This refers to any valid expression
- comparison_operator: This refers to any one of the standard comparison operators.
- ANY: Operator must be preceded by any one of the comparison operators like =, !=, >, >=, <, or <=
- subquery: Refers here to a 'Select' statement that returns a single column of values.
How Does ANY Operator Work?
The ANY operator returns TRUE if any of the subquery values return TRUE. It only checks for TRUE if any value in the subquery single column satisfies the condition. The ANY operator is useful in situations where we need to check for a specific value which exists within a set of values.
Examples: How to Use ANY Operator
Here are few examples of how we can use the ANY operator.
Sample Data tables used in the examples
Products Table
Products TableOrders Table
Orders TableExample 1
In the below example ANY operator is used to check the Price of Product above 50.
Select * from Products where Price = ANY (Select Price from Products where Price > 50)
Output of the above query
OutputExample 2
In the below example ANY operator is used to check for all Products Sold within the price range of 30 and 50
Select * from Products where Price =ANY (Select Price from Products where Price Between 30 and 50)
Output of the above query:
OutputExample 3
In the below example ANY operator is used to check for Specific Products Ordered based on OrderDetailsID
Select * from Products where ProductID > ANY (Select ProductID from OrderDetails where OrderDetailID = 10 )
Output of the above query
OutputConclusion
The ANY logical operator in SQL Server is used in filtering data based on single column value in a subquery. This is one of the many logical operators which comes in handy to check for specific values returned by a subquery with a scalar expression. The ANY operator is generally used with comparison operators with the 'WHERE' clause in a 'Select statement'
Similar Reads
SQL Server ALL Operator In SQL Server the logical operators are used to perform conditional checks in SQL Queries. There are many different types of Logical operators like ANY, AND, LIKE, EXISTS, NOT, IN, and BETWEEN in SQL Server. These operators are very useful to filter and compare single or multiple data in SQL Queries
3 min read
SQL Server INTERSECT Operator In SQL Server, the INTERSECT operator is a kind of set operator that is used to combine the results of two SELECT statements and return rows which is common between them. In this article, We will explore the syntax, key concepts, and practical examples of using the INTERSECT operator. Whether you ar
5 min read
SQL AND Operator In SQL, the AND operator is an essential tool used to combine multiple conditions in a WHERE clause. This allows us to filter records based on multiple criteria, making our queries more specific and tailored to our needs. When used correctly, the AND operator can help us retrieve data that satisfies
5 min read
Arithmetic Operators in SQL Server Arithmetic operators play a crucial role in performing mathematical calculations within SQL Server. These operators allow you to perform addition, subtraction, multiplication, division, and more on numeric data stored in your database tables. In this article, we'll explore the various arithmetic ope
4 min read
PL/SQL AND Operator The PL/SQL AND operator is used to combine multiple conditions in a WHERE clause of an SQL query. It allows you to refine your query by ensuring that all specified conditions are met. AND queries which help in filtering data more precisely and can be crucial for retrieving accurate results from a da
7 min read