# SOME | ANY (Transact-SQL)

**APPLIES TO:** SQL Server Azure SQL Database Azure SQL Data Warehouse Parallel Data Warehouse

Compares a scalar value with a single-column set of values. SOME and ANY are equivalent.

Transact-SQL Syntax Conventions

## Syntax

```
scalar_expression { = | < > | ! = | > | > = | ! > | < | < = | ! < }
{ SOME | ANY } ( subquery )
```

## Arguments

*scalar_expression*

Is any valid expression.

{ = | <> | != | > | >= | !> | < | <= | !< }

Is any valid comparison operator.

SOME | ANY

Specifies that a comparison should be made.

*subquery*

Is a subquery that has a result set of one column. The data type of the column returned must be the same data type as *scalar_expression*.

## Result Types

**Boolean**

## Result Value

SOME or ANY returns **TRUE** when the comparison specified is TRUE for any pair (*scalar_expression***,***x*) where *x* is a value in the single-column set; otherwise, returns **FALSE**.

## Remarks

SOME requires the *scalar_expression* to compare positively to at least one value returned by the subquery. For statements that require the *scalar_expression* to compare positively to every value that is returned by the subquery, see ALL (Transact-SQL). For instance, if the subquery returns values of 2 and 3, *scalar_expression* = SOME (subquery) would evaluate as TRUE for a *scalar_express* of 2. If the subquery returns values of 2 and 3, *scalar_expression* = ALL (subquery) would evaluate as FALSE, because some of the values of the subquery (the value of 3) wouldn't meet the criteria of the expression.

## Examples

### A. Running a simple example

The following statements create a simple table and add the values of `1`

, `2`

, `3`

, and `4`

to the `ID`

column.

```
CREATE TABLE T1
(ID int) ;
GO
INSERT T1 VALUES (1) ;
INSERT T1 VALUES (2) ;
INSERT T1 VALUES (3) ;
INSERT T1 VALUES (4) ;
```

The following query returns `TRUE`

because `3`

is less than some of the values in the table.

```
IF 3 < SOME (SELECT ID FROM T1)
PRINT 'TRUE'
ELSE
PRINT 'FALSE' ;
```

The following query returns `FALSE`

because `3`

isn't less than all of the values in the table.

```
IF 3 < ALL (SELECT ID FROM T1)
PRINT 'TRUE'
ELSE
PRINT 'FALSE' ;
```

### B. Running a practical example

The following example creates a stored procedure that determines whether all the components of a specified `SalesOrderID`

in the `AdventureWorks2012`

database can be manufactured in the specified number of days. The example uses a subquery to create a list of the number of `DaysToManufacture`

value for all the components of the specific `SalesOrderID`

, and then tests whether any of the values that are returned by the subquery are greater than the number of days specified. If every value of `DaysToManufacture`

that is returned is less than the number provided, the condition is TRUE and the first message is printed.

```
-- Uses AdventureWorks
CREATE PROCEDURE ManyDaysToComplete @OrderID int, @NumberOfDays int
AS
IF
@NumberOfDays < SOME
(
SELECT DaysToManufacture
FROM Sales.SalesOrderDetail
JOIN Production.Product
ON Sales.SalesOrderDetail.ProductID = Production.Product.ProductID
WHERE SalesOrderID = @OrderID
)
PRINT 'At least one item for this order can't be manufactured in specified number of days.'
ELSE
PRINT 'All items for this order can be manufactured in the specified number of days or less.' ;
```

To test the procedure, execute the procedure by using the `SalesOrderID``49080`

, which has one component that requires `2`

days and two components that require 0 days. The first statement meets the criteria. The second query doesn't.

```
EXECUTE ManyDaysToComplete 49080, 2 ;
```

Here is the result set.

`All items for this order can be manufactured in the specified number of days or less.`

```
EXECUTE ManyDaysToComplete 49080, 1 ;
```

Here is the result set.

`At least one item for this order can't be manufactured in specified number of days.`

## See Also

ALL (Transact-SQL)

CASE (Transact-SQL)

Built-in Functions (Transact-SQL)

Operators (Transact-SQL)

SELECT (Transact-SQL)

WHERE (Transact-SQL)

IN (Transact-SQL)

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