Vous devrez créer une procédure CLR qui fournit des fonctionnalités regex, comme l' illustre cet article .
Leur exemple de fonction utilise VB.NET:
Imports System
Imports System.Data.Sql
Imports Microsoft.SqlServer.Server
Imports System.Data.SqlTypes
Imports System.Runtime.InteropServices
Imports System.Text.RegularExpressions
Imports System.Collections 'the IEnumerable interface is here
Namespace SimpleTalk.Phil.Factor
Public Class RegularExpressionFunctions
'RegExIsMatch function
<SqlFunction(IsDeterministic:=True, IsPrecise:=True)> _
Public Shared Function RegExIsMatch( _
ByVal pattern As SqlString, _
ByVal input As SqlString, _
ByVal Options As SqlInt32) As SqlBoolean
If (input.IsNull OrElse pattern.IsNull) Then
Return SqlBoolean.False
End If
Dim RegExOption As New System.Text.RegularExpressions.RegExOptions
RegExOption = Options
Return RegEx.IsMatch(input.Value, pattern.Value, RegExOption)
End Function
End Class '
End Namespace
... et est installé dans SQL Server à l'aide du SQL suivant (en remplaçant les variables délimitées par '%' par leurs équivalents réels:
sp_configure 'clr enabled', 1
RECONFIGURE WITH OVERRIDE
IF EXISTS ( SELECT 1
FROM sys.objects
WHERE object_id = OBJECT_ID(N'dbo.RegExIsMatch') )
DROP FUNCTION dbo.RegExIsMatch
go
IF EXISTS ( SELECT 1
FROM sys.assemblies asms
WHERE asms.name = N'RegExFunction ' )
DROP ASSEMBLY [RegExFunction]
CREATE ASSEMBLY RegExFunction
FROM '%FILE%'
GO
CREATE FUNCTION RegExIsMatch
(
@Pattern NVARCHAR(4000),
@Input NVARCHAR(MAX),
@Options int
)
RETURNS BIT
AS EXTERNAL NAME
RegExFunction.[SimpleTalk.Phil.Factor.RegularExpressionFunctions].RegExIsMatch
GO
--a few tests
---Is this card a valid credit card?
SELECT dbo.RegExIsMatch ('^(?:4[0-9]{12}(?:[0-9]{3})?|5[1-5][0-9]{14}|6(?:011|5[0-9][0-9])[0-9]{12}|3[47][0-9]{13}|3(?:0[0-5]|[68][0-9])[0-9]{11}|(?:2131|1800|35\d{3})\d{11})$','4241825283987487',1)
--is there a number in this string
SELECT dbo.RegExIsMatch( '\d','there is 1 thing I hate',1)
--Verifies number Returns 1
DECLARE @pattern VARCHAR(255)
SELECT @pattern ='[a-zA-Z0-9]\d{2}[a-zA-Z0-9](-\d{3}){2}[A-Za-z0-9]'
SELECT dbo.RegExIsMatch (@pattern, '1298-673-4192',1),
dbo.RegExIsMatch (@pattern,'A08Z-931-468A',1),
dbo.RegExIsMatch (@pattern,'[A90-123-129X',1),
dbo.RegExIsMatch (@pattern,'12345-KKA-1230',1),
dbo.RegExIsMatch (@pattern,'0919-2893-1256',1)