# ALL (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.

Transact-SQL Syntax Conventions

## Syntax

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

## Arguments

*scalar_expression*

Is any valid expression.

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

Is a comparison operator.

*subquery*

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

Is a restricted SELECT statement, in which the ORDER BY clause and the INTO keyword aren't allowed.

## Result Types

**Boolean**

## Result Value

Returns TRUE when the comparison specified is TRUE for all pairs (*scalar_expression***,***x)*, when *x* is a value in the single-column set. Otherwise returns FALSE.

## Remarks

ALL requires the *scalar_expression* to compare positively to every value that is returned by the subquery. For instance, if the subquery returns values of 2 and 3, *scalar_expression* <= ALL (subquery) would evaluate as TRUE for a *scalar_expression* 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.

For statements that require the *scalar_expression* to compare positively to only one value that is returned by the subquery, see SOME | ANY (Transact-SQL).

This article refers to ALL when it is used with a subquery. ALL can also be used with UNION and SELECT.

## Examples

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`

values for all of the components of the specific `SalesOrderID`

, and then confirms that all the `DaysToManufacture`

are within the number of days specified.

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

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

, which has one component requiring `2`

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

```
EXECUTE DaysToBuild 49080, 2 ;
```

Here is the result set.

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

```
EXECUTE DaysToBuild 49080, 1 ;
```

Here is the result set.

`Some items for this order can't be manufactured in specified number of days or less.`

## See Also

CASE (Transact-SQL)

Expressions (Transact-SQL)

Built-in Functions (Transact-SQL)

LIKE (Transact-SQL)

Operators (Transact-SQL)

SELECT (Transact-SQL)

WHERE (Transact-SQL)

IN (Transact-SQL)

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