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CASE (Transact-SQL)

Applies to: SQL Server Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics Analytics Platform System (PDW) SQL analytics endpoint in Microsoft Fabric Warehouse in Microsoft Fabric SQL database in Microsoft Fabric Preview

Evaluates a list of conditions and returns one of multiple possible result expressions.

The CASE expression has two formats:

  • The simple CASE expression compares an expression to a set of simple expressions to determine the result.

  • The searched CASE expression evaluates a set of Boolean expressions to determine the result.

Both formats support an optional ELSE argument.

CASE can be used in any statement or clause that allows a valid expression. For example, you can use CASE in statements such as SELECT, UPDATE, DELETE and SET, and in clauses such as <select_list>, IN, WHERE, ORDER BY, and HAVING.

Transact-SQL syntax conventions

Syntax

Syntax for SQL Server, Azure SQL Database, and Azure Synapse Analytics.

-- Simple CASE expression:
CASE input_expression
     WHEN when_expression THEN result_expression [ ...n ]
     [ ELSE else_result_expression ]
END

-- Searched CASE expression:
CASE
     WHEN Boolean_expression THEN result_expression [ ...n ]
     [ ELSE else_result_expression ]
END

Syntax for Parallel Data Warehouse.

CASE
     WHEN when_expression THEN result_expression [ ...n ]
     [ ELSE else_result_expression ]
END

Arguments

input_expression

The expression evaluated when the simple CASE format is used. input_expression is any valid expression.

WHEN when_expression

A simple expression to which input_expression is compared when the simple CASE format is used. when_expression is any valid expression. The data types of input_expression and each when_expression must be the same or must be an implicit conversion.

THEN result_expression

The expression returned when input_expression equals when_expression evaluates to TRUE, or Boolean_expression evaluates to TRUE. result expression is any valid expression.

ELSE else_result_expression

The expression returned if no comparison operation evaluates to TRUE. If this argument is omitted and no comparison operation evaluates to TRUE, CASE returns NULL. else_result_expression is any valid expression. The data types of else_result_expression and any result_expression must be the same or must be an implicit conversion.

WHEN Boolean_expression

The Boolean expression evaluated when using the searched CASE format. Boolean_expression is any valid Boolean expression.

Return types

Returns the highest precedence type from the set of types in result_expressions and the optional else_result_expression. For more information, see Data type precedence.

Return values

Simple CASE expression

The simple CASE expression operates by comparing the first expression to the expression in each WHEN clause for equivalency. If these expressions are equivalent, the expression in the THEN clause is returned.

  • Allows only an equality check.

  • In the order specified, evaluates input_expression = when_expression for each WHEN clause.

  • Returns the result_expression of the first input_expression = when_expression that evaluates to TRUE.

  • If no input_expression = when_expression evaluates to TRUE, the SQL Server Database Engine returns the else_result_expression if an ELSE clause is specified, or a NULL value if no ELSE clause is specified.

Searched CASE expression

  • Evaluates, in the order specified, Boolean_expression for each WHEN clause.

  • Returns result_expression of the first Boolean_expression that evaluates to TRUE.

  • If no Boolean_expression evaluates to TRUE, the Database Engine returns the else_result_expression if an ELSE clause is specified, or a NULL value if no ELSE clause is specified.

Remarks

SQL Server allows for only 10 levels of nesting in CASE expressions.

The CASE expression can't be used to control the flow of execution of Transact-SQL statements, statement blocks, user-defined functions, and stored procedures. For a list of control-of-flow methods, see Control-of-Flow.

The CASE expression evaluates its conditions sequentially and stops with the first condition whose condition is satisfied. In some situations, an expression is evaluated before a CASE expression receives the results of the expression as its input. Errors in evaluating these expressions are possible. Aggregate expressions that appear in WHEN arguments to a CASE expression are evaluated first, then provided to the CASE expression. For example, the following query produces a divide by zero error when producing the value of the MAX aggregate. This step occurs before evaluating the CASE expression.

WITH Data (value)
AS (
    SELECT 0
    UNION ALL
    SELECT 1
    )
SELECT CASE
        WHEN MIN(value) <= 0 THEN 0
        WHEN MAX(1 / value) >= 100 THEN 1
        END
FROM Data;
GO

You should only depend on order of evaluation of the WHEN conditions for scalar expressions (including noncorrelated subqueries that return scalars), not for aggregate expressions.

You must also ensure that at least one of the expressions in the THEN or ELSE clauses isn't the NULL constant. While NULL can be returned from multiple result expressions, not all of them can explicitly be the NULL constant. If all result expressions use the NULL constant, error 8133 is returned.

Examples

The code samples in this article use the AdventureWorks2022 or AdventureWorksDW2022 sample database, which you can download from the Microsoft SQL Server Samples and Community Projects home page.

A. Use a SELECT statement with a simple CASE expression

Within a SELECT statement, a simple CASE expression allows for only an equality check; no other comparisons are made. The following example uses the CASE expression to change the display of product line categories to make them more understandable.

USE AdventureWorks2022;
GO

SELECT ProductNumber,
    Category = CASE ProductLine
        WHEN 'R' THEN 'Road'
        WHEN 'M' THEN 'Mountain'
        WHEN 'T' THEN 'Touring'
        WHEN 'S' THEN 'Other sale items'
        ELSE 'Not for sale'
        END,
    Name
FROM Production.Product
ORDER BY ProductNumber;
GO

B. Use a SELECT statement with a searched CASE expression

Within a SELECT statement, the searched CASE expression allows for values to be replaced in the result set based on comparison values. The following example displays the list price as a text comment based on the price range for a product.

USE AdventureWorks2022;
GO

SELECT ProductNumber,
    Name,
    "Price Range" = CASE
        WHEN ListPrice = 0 THEN 'Mfg item - not for resale'
        WHEN ListPrice < 50 THEN 'Under $50'
        WHEN ListPrice >= 50 AND ListPrice < 250 THEN 'Under $250'
        WHEN ListPrice >= 250 AND ListPrice < 1000 THEN 'Under $1000'
        ELSE 'Over $1000'
        END
FROM Production.Product
ORDER BY ProductNumber;
GO

C. Use CASE in an ORDER BY clause

The following examples use the CASE expression in an ORDER BY clause to determine the sort order of the rows based on a given column value. In the first example, the value in the SalariedFlag column of the HumanResources.Employee table is evaluated. Employees that have the SalariedFlag set to 1 are returned in order by the BusinessEntityID in descending order. Employees that have the SalariedFlag set to 0 are returned in order by the BusinessEntityID in ascending order.

SELECT BusinessEntityID,
    SalariedFlag
FROM HumanResources.Employee
ORDER BY CASE SalariedFlag
        WHEN 1 THEN BusinessEntityID
        END DESC,
    CASE
        WHEN SalariedFlag = 0 THEN BusinessEntityID
        END;
GO

In the second example, the result set is ordered by the column TerritoryName when the column CountryRegionName is equal to 'United States' and by CountryRegionName for all other rows.

SELECT BusinessEntityID,
    LastName,
    TerritoryName,
    CountryRegionName
FROM Sales.vSalesPerson
WHERE TerritoryName IS NOT NULL
ORDER BY CASE CountryRegionName
        WHEN 'United States' THEN TerritoryName
        ELSE CountryRegionName
        END;
GO

D. Use CASE in an UPDATE statement

The following example uses the CASE expression in an UPDATE statement to determine the value that is set for the column VacationHours for employees with SalariedFlag set to 0. When subtracting 10 hours from VacationHours results in a negative value, VacationHours is increased by 40 hours; otherwise, VacationHours is increased by 20 hours. The OUTPUT clause is used to display the before and after vacation values.

USE AdventureWorks2022;
GO

UPDATE HumanResources.Employee
SET VacationHours = (
        CASE
            WHEN ((VacationHours - 10.00) < 0) THEN VacationHours + 40
            ELSE (VacationHours + 20.00)
            END
        )
OUTPUT Deleted.BusinessEntityID,
    Deleted.VacationHours AS BeforeValue,
    Inserted.VacationHours AS AfterValue
WHERE SalariedFlag = 0;
GO

E. Use CASE in a SET statement

The following example uses the CASE expression in a SET statement in the table-valued function dbo.GetContactInfo. In the AdventureWorks2022 database, all data related to people is stored in the Person.Person table. For example, the person might be an employee, vendor representative, or a customer. The function returns the first name (FirstName) and family name (LastName) of a given BusinessEntityID and the contact type for that person. The CASE expression in the SET statement determines the value to display for the column ContactType based on the existence of the BusinessEntityID column in the Employee, Vendor, or Customer tables.

USE AdventureWorks2022;
GO

CREATE FUNCTION dbo.GetContactInformation (
    @BusinessEntityID INT
)
RETURNS
    @retContactInformation TABLE (
        BusinessEntityID INT NOT NULL,
        FirstName NVARCHAR (50) NULL,
        LastName NVARCHAR (50) NULL,
        ContactType NVARCHAR (50) NULL,
        PRIMARY KEY CLUSTERED (BusinessEntityID ASC))
AS
-- Returns the first name, last name and contact type for the specified contact.
BEGIN
    DECLARE @FirstName NVARCHAR(50),
        @LastName NVARCHAR(50),
        @ContactType NVARCHAR(50);

    -- Get common contact information
    SELECT @BusinessEntityID = BusinessEntityID,
        @FirstName = FirstName,
        @LastName = LastName
    FROM Person.Person
    WHERE BusinessEntityID = @BusinessEntityID;

    SET @ContactType = CASE
            -- Check for employee
            WHEN EXISTS (
                    SELECT *
                    FROM HumanResources.Employee AS e
                    WHERE e.BusinessEntityID = @BusinessEntityID
                    )
                THEN 'Employee'
            -- Check for vendor
            WHEN EXISTS (
                    SELECT *
                    FROM Person.BusinessEntityContact AS bec
                    WHERE bec.BusinessEntityID = @BusinessEntityID
                    )
                THEN 'Vendor'
            -- Check for store
            WHEN EXISTS (
                    SELECT *
                    FROM Purchasing.Vendor AS v
                    WHERE v.BusinessEntityID = @BusinessEntityID
                    )
                THEN 'Store Contact'
            -- Check for individual consumer
            WHEN EXISTS (
                    SELECT *
                    FROM Sales.Customer AS c
                    WHERE c.PersonID = @BusinessEntityID
                    )
                THEN 'Consumer'
            END;

    -- Return the information to the caller
    IF @BusinessEntityID IS NOT NULL
        BEGIN
            INSERT @retContactInformation
            SELECT @BusinessEntityID,
                   @FirstName,
                   @LastName,
                   @ContactType;
        END
    RETURN;
END
GO

SELECT BusinessEntityID,
    FirstName,
    LastName,
    ContactType
FROM dbo.GetContactInformation(2200);
GO

SELECT BusinessEntityID,
    FirstName,
    LastName,
    ContactType
FROM dbo.GetContactInformation(5);
GO

F. Use CASE in a HAVING clause

The following example uses the CASE expression in a HAVING clause to restrict the rows returned by the SELECT statement. The statement returns the hourly rate for each job title in the HumanResources.Employee table. The HAVING clause restricts the titles to those that are held by salaried employees with a maximum pay rate greater than 40 dollars, or nonsalaried employees with a maximum pay rate greater than 15 dollars.

USE AdventureWorks2022;
GO

SELECT JobTitle,
    MAX(ph1.Rate) AS MaximumRate
FROM HumanResources.Employee AS e
INNER JOIN HumanResources.EmployeePayHistory AS ph1
    ON e.BusinessEntityID = ph1.BusinessEntityID
GROUP BY JobTitle
HAVING (
    MAX(CASE
            WHEN SalariedFlag = 1 THEN ph1.Rate
            ELSE NULL
        END) > 40.00
    OR MAX(CASE
            WHEN SalariedFlag = 0 THEN ph1.Rate
            ELSE NULL
        END) > 15.00
)
ORDER BY MaximumRate DESC;
GO

G. Use a nested CASE expression to categorize results

The following example uses a nested CASE expression to categorize products based on ListPrice. If a product list price exceeds 1,000 dollars, it's considered High-end. The remaining products are categorized in a nested CASE expression based on ProductLine and ListPrice.

USE AdventureWorks2022;
GO

SELECT 
    ProductNumber,
    Name,
    ListPrice,
    PriceCategory = 
        CASE 
            WHEN ListPrice > 1000 THEN 'High-end'
            ELSE 
                CASE ProductLine
                    WHEN 'R' THEN
                        CASE 
                            WHEN ListPrice > 500 THEN 'Premium Road'
                            ELSE 'Standard Road'
                        END
                    WHEN 'M' THEN
                        CASE 
                            WHEN ListPrice > 500 THEN 'Premium Mountain'
                            ELSE 'Standard Mountain'
                        END
                    WHEN 'T' THEN 'Touring'
                    ELSE 'Other'
                END
        END
FROM Production.Product
ORDER BY ListPrice DESC;

Examples: Azure Synapse Analytics and Analytics Platform System (PDW)

H. Use a SELECT statement with a CASE expression

Within a SELECT statement, the CASE expression allows for values to be replaced in the result set based on comparison values. The following example uses the CASE expression to change the display of product line categories to make them more understandable. When a value doesn't exist, the text Not for sale is displayed.

SELECT ProductAlternateKey,
    Category = CASE ProductLine
        WHEN 'R' THEN 'Road'
        WHEN 'M' THEN 'Mountain'
        WHEN 'T' THEN 'Touring'
        WHEN 'S' THEN 'Other sale items'
        ELSE 'Not for sale'
        END,
    EnglishProductName
FROM dbo.DimProduct
ORDER BY ProductKey;
GO

I. Use CASE in an UPDATE statement

The following example uses the CASE expression in an UPDATE statement to determine the value that is set for the column VacationHours for employees with SalariedFlag set to 0. When subtracting 10 hours from VacationHours results in a negative value, VacationHours is increased by 40 hours; otherwise, VacationHours is increased by 20 hours.

UPDATE dbo.DimEmployee
SET VacationHours = (
        CASE
            WHEN ((VacationHours - 10.00) < 0) THEN VacationHours + 40
            ELSE (VacationHours + 20.00)
            END
        )
WHERE SalariedFlag = 0;
GO