SQL Server - How to use regular expressions (RegExp) in your database

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In this article I would like to show you how we can use regular expressions (RegExp) in your database through queries, whether to create some monitoring or even to create BI reports and indicators or some system.

Regular expression (or the regex or regexp foreignness, short for regular expression) provides a concise and flexible way to identify strings of interest, such as particular characters, words, or character patterns. In other words, regular expression is a way of simply performing extremely complex string operations that would require various conditions to handle this data.

As you may know, the Regexp dialect is not something that is common sense among programming languages. There are several different implementations and the rules of regular expression are similar, but can change between languages. Ex: A regexp expression that works in .NET may not work in PHP or Java and vice versa.

In SQL Server, we can use 2 dialects to use our regular expressions:

. NET: Dialect available using SQLCLR (available from SQL Server 2005) and the .NET Framework system.text.regularexpression library
ECMA: Dialect available using OLE Automation (available from SQL Server 2000) and the VBScript.RegExp module. This dialect is the same as Javascript

For terms of comparison:

SQL Server native regexp (using LIKE or PATINDEX): Limited (compared to most common dialects) and has the best performance among 3
.NET: As complete as the ECMA dialect (ie, it has MUCH more features than the native SQL Server), it has performance slightly below the native SQL Server, but MUCH (very much) above ECMA (because of OLE Automation, not from the dialect itself).
ECMA: As complete as the .NET dialect (ie, it has MUCH more features than the native SQL Server) but has a very poor performance when compared to other 2. Its advantage over .NET is that it does not require the creation of SQLCLR objects and is available in SQL Server 2000.

The purpose of this post is to demonstrate how to use regular expressions in SQL Server and to show some simple examples of this. The focus here is not on becoming a regular expression expert. Regexp was not meant to be easily understood. It requires a lot of effort and study to master this language. For this, I suggest the excellent site Regular-Expressions.info and also the Brazilian website of Aurelio Jargas.

To help you understand the use of regular expressions (.NET and ECMA dialects), follow the image below from the site RegExLib:

Alternative #1: LIKE and PATINDEX

Using this native SQL Server solution, you will be able to use simple but very useful regular expressions in your daily life, and with good execution performance. The advantage of this method is that it does not require any additional permissions on the database, nor does it need to enable any advanced features or create new objects on the database.

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Many people don't know it yet, but SQL Server has native support for using some regular expressions (RegExp) through the LIKE and PATINDEX operators, as I will demonstrate some examples below:

Case sensitive

Filtering the first letter

Filtering the first letters + Case sensitive

Applying a specific custom filter

Using the negation operator (^)

Using the escape operator

Identifying Special Characters

Need to remove special characters? Learn more by accessing the post How to remove accent and special characters from a string in SQL Server.

Using numbers

Validating Emails

DECLARE @Teste TABLE ( [Email] VARCHAR(200) )

INSERT INTO @Teste 
VALUES ('a@a.com'), ('Dirceu'), ('Dirceu@'), ('@'), ('@.com'), ('email@dominio.com.br'), ('email@dominio.org'), ('email@dominio'), ('email@dominio.')

SELECT *
FROM @Teste
WHERE [Email] NOT LIKE '%[^a-z,0-9,@,.-_]%'
AND [Email] LIKE '%_@_%_.__%'
AND [Email] NOT LIKE '%_@@_%_.__%'

DECLARE @Teste TABLE ( [Email] VARCHAR(200) )

INSERT INTO @Teste

VALUES ('[email protected]'), ('Dirceu'), ('[email protected]'), ('@'), ('@.com'), ('[email protected]'), ('[email protected]'), ('[email protected]'), ('[email protected]')

SELECT *

FROM @Teste

WHERE [Email] NOT LIKE '%[^a-z,0-9,@,.-_]%'

AND [Email] LIKE '%[email protected]_%_.__%'

AND [Email] NOT LIKE '%[email protected]@_%_.__%'

Result:

Retrieving only the numeric part of a string

CREATE FUNCTION [dbo].[fncRecupera_Numeros] ( @str VARCHAR(MAX) )
RETURNS VARCHAR(500)
BEGIN

    DECLARE @startingIndex INT  
    SET @startingIndex = 0  
    
    WHILE (1 = 1)
    BEGIN  
    
        -- Vamos identificar todos os caracteres não-numéricos (não estão no intervalo 0-9) e substituir por ''
        SET @startingIndex = PATINDEX('%[^0-9]%', @str)  
        IF @startingIndex <> 0
            SET @str = REPLACE(@str, SUBSTRING(@str, @startingIndex, 1), '')  
        ELSE
            BREAK
            
    END  
    
    
    RETURN @str  
    
    
END

CREATE FUNCTION [dbo].[fncRecupera_Numeros] ( @str VARCHAR(MAX) )

RETURNS VARCHAR(500)

BEGIN

DECLARE @startingIndex INT

SET @startingIndex = 0

WHILE (1 = 1)

BEGIN

-- Vamos identificar todos os caracteres não-numéricos (não estão no intervalo 0-9) e substituir por ''

SET @startingIndex = PATINDEX('%[^0-9]%', @str)

IF @startingIndex <> 0

SET @str = REPLACE(@str, SUBSTRING(@str, @startingIndex, 1), '')

ELSE

BREAK

END

RETURN @str

END

Example:

Want to know more about data validation? Access the posts below:
- Validating CPF, CNPJ, Email, Phone, and Zip Code in SQL Server
- How to validate state registration for all states using C # (CSharp) and SQL Server CLR
- How to validate state registration using T-SQL function in SQL Server

Alternative #2: .NET Dialect with SQLCLR

With this method you will have access to use the .NET Framework regular expressions, which features high performance and all available dialect features using SQLCLR and C #. It is available since SQL Server 2005.

If you would like to know more about SQLCLR, be sure to read the following articles:
- Introduction to SQL Common Language Runtime (CLR) in SQL Server
- SQL Server - Performance Comparison between Scalar Function and CLR Scalar Function
- Other posts about SQLCLR

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FncRegex_Match Examples

Identifying repeated words

SELECT 
    CLR.dbo.fncRegex_Match('Essa frase frase contém palavras repetidas', '\b(\w+)\s+\1\b'),
    CLR.dbo.fncRegex_Match('Essa frase NÃO contém palavras repetidas', '\b(\w+)\s+\1\b')

SELECT

CLR.dbo.fncRegex_Match('Essa frase frase contém palavras repetidas', '\b(\w+)\s+\1\b'),

CLR.dbo.fncRegex_Match('Essa frase NÃO contém palavras repetidas', '\b(\w+)\s+\1\b')

Validating a specific numeric mask (zip code)

SELECT
    -- Retorna 1 se a string atende o formato "99999-999"
    CLR.dbo.fncRegex_Match('29090-270', '[0-9]{5}-[0-9]{3}'),
    CLR.dbo.fncRegex_Match('29.090-270', '[0-9]{5}-[0-9]{3}'),
    CLR.dbo.fncRegex_Match('29090270', '[0-9]{5}-[0-9]{3}')

SELECT 
    -- Retorna 1 se a string atende o formato "99.999-999"
    CLR.dbo.fncRegex_Match('29090-270', '[0-9]{2}.[0-9]{3}-[0-9]{3}'),
    CLR.dbo.fncRegex_Match('29.090-270', '[0-9]{2}.[0-9]{3}-[0-9]{3}'),
    CLR.dbo.fncRegex_Match('29090270', '[0-9]{2}.[0-9]{3}-[0-9]{3}')

SELECT
    -- Retorna 1 se a string atende o formato "99999999"
    CLR.dbo.fncRegex_Match('29090-270', '[0-9]{8}'),
    CLR.dbo.fncRegex_Match('29.090-270', '[0-9]{8}'),
    CLR.dbo.fncRegex_Match('29090270', '[0-9]{8}')

SELECT

-- Retorna 1 se a string atende o formato "99999-999"

CLR.dbo.fncRegex_Match('29090-270', '[0-9]{5}-[0-9]{3}'),

CLR.dbo.fncRegex_Match('29.090-270', '[0-9]{5}-[0-9]{3}'),

CLR.dbo.fncRegex_Match('29090270', '[0-9]{5}-[0-9]{3}')

SELECT

-- Retorna 1 se a string atende o formato "99.999-999"

CLR.dbo.fncRegex_Match('29090-270', '[0-9]{2}.[0-9]{3}-[0-9]{3}'),

CLR.dbo.fncRegex_Match('29.090-270', '[0-9]{2}.[0-9]{3}-[0-9]{3}'),

CLR.dbo.fncRegex_Match('29090270', '[0-9]{2}.[0-9]{3}-[0-9]{3}')

SELECT

-- Retorna 1 se a string atende o formato "99999999"

CLR.dbo.fncRegex_Match('29090-270', '[0-9]{8}'),

CLR.dbo.fncRegex_Match('29.090-270', '[0-9]{8}'),

CLR.dbo.fncRegex_Match('29090270', '[0-9]{8}')

Validating CPF and CNPJ (format only, no DV)

SELECT
    -- Valida se o CPF informado atende a máscara "999.999.999-99"
    CLR.dbo.fncRegex_Match('123.456.789-09', '^\d{3}\.\d{3}\.\d{3}\-\d{2}$'),
    CLR.dbo.fncRegex_Match('12X.456.789-09', '^\d{3}\.\d{3}\.\d{3}\-\d{2}$'),
    CLR.dbo.fncRegex_Match('12345678909', '^\d{3}\.\d{3}\.\d{3}\-\d{2}$')

SELECT
    -- Valida se o CNPJ informado atende a máscara "99.999.999/9999-99"
    CLR.dbo.fncRegex_Match('12.345.678/1234-09', '^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$'),
    CLR.dbo.fncRegex_Match('12.3X5.678/1234-09', '^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$'),
    CLR.dbo.fncRegex_Match('12345678123409', '^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$')

SELECT

-- Valida se o CPF informado atende a máscara "999.999.999-99"

CLR.dbo.fncRegex_Match('123.456.789-09', '^\d{3}\.\d{3}\.\d{3}\-\d{2}$'),

CLR.dbo.fncRegex_Match('12X.456.789-09', '^\d{3}\.\d{3}\.\d{3}\-\d{2}$'),

CLR.dbo.fncRegex_Match('12345678909', '^\d{3}\.\d{3}\.\d{3}\-\d{2}$')

SELECT

-- Valida se o CNPJ informado atende a máscara "99.999.999/9999-99"

CLR.dbo.fncRegex_Match('12.345.678/1234-09', '^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$'),

CLR.dbo.fncRegex_Match('12.3X5.678/1234-09', '^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$'),

CLR.dbo.fncRegex_Match('12345678123409', '^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$')

FncRegex_Find Examples

Recover passages where the word “Dirceu” appears in the text

DECLARE @exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende e quero demonstrar como o Regexp é útil nesse artigo do Dirceu blog Resende do Wordpress'

SELECT 
    '...' + Ds_Texto + '...'
FROM 
    CLR.dbo.fncRegexp_Find(@exemplo, '\bDirceu(?:\W+\w+){0,3}')

DECLARE @exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende e quero demonstrar como o Regexp é útil nesse artigo do Dirceu blog Resende do Wordpress'

SELECT

'...' + Ds_Texto + '...'

FROM

CLR.dbo.fncRegexp_Find(@exemplo, '\bDirceu(?:\W+\w+){0,3}')

Finding repeated words over and over

DECLARE @exemplo VARCHAR(2000) = 'nesse exemplo exemplo eu gostaria de eu demonstrar como identificar palavras palavras repetidas repetidas eu'
 
SELECT [Ds_Texto] 
FROM CLR.dbo.fncRegexp_Find(@exemplo, '\b(\w+)\s+\1\b')

DECLARE @exemplo VARCHAR(2000) = 'nesse exemplo exemplo eu gostaria de eu demonstrar como identificar palavras palavras repetidas repetidas eu'

SELECT [Ds_Texto]

FROM CLR.dbo.fncRegexp_Find(@exemplo, '\b(\w+)\s+\1\b')

Returning a resultset with line breaks (split)

DECLARE @exemplo VARCHAR(MAX) = '
Segunda linha
Terceira linha
Quarta linha'

SELECT Ds_Texto 
FROM CLR.dbo.fncRegexp_Find(@exemplo, '[^\r\n]*(?:[\r\n]*)') 
WHERE LEN(Ds_Texto) > 0

DECLARE @exemplo VARCHAR(MAX) = '

Segunda linha

Terceira linha

Quarta linha'

SELECT Ds_Texto

FROM CLR.dbo.fncRegexp_Find(@exemplo, '[^\r\n]*(?:[\r\n]*)')

WHERE LEN(Ds_Texto) > 0

Retrieve valid dates only

DECLARE @exemplo VARCHAR(MAX) = '
12/2/2006 12:30 <> 13/2/2007
32/3/2007
2-4-2007
25.8.2007
1/1/2005
34/2/2104
2/5/2006'

SELECT 
    DISTINCT CONVERT(DATETIME, Ds_Texto, 103) 
FROM 
    CLR.dbo.fncRegexp_Find(@exemplo, '\b(0?[1-9]|[12][0-9]|3[01])[- /.](0?[1-9]|1[012])[- /.](19|20?[0-9]{2})\b')

DECLARE @exemplo VARCHAR(MAX) = '

12/2/2006 12:30 <> 13/2/2007

32/3/2007

2-4-2007

25.8.2007

1/1/2005

34/2/2104

2/5/2006'

SELECT

DISTINCT CONVERT(DATETIME, Ds_Texto, 103)

FROM

CLR.dbo.fncRegexp_Find(@exemplo, '\b(0?[1-9]|[12][0-9]|3[01])[- /.](0?[1-9]|1[012])[- /.](19|20?[0-9]{2})\b')

Identifying license plates on a string

DECLARE 
    @exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende meu carro é placa AAA-9999 e BBB9999 ou ccc2222',
    @mascara VARCHAR(MAX) = '[a-zA-Z]{3}-?\d{4}'

SELECT 
    *
FROM 
    CLR.dbo.fncRegexp_Find(@exemplo, @mascara)

DECLARE

@exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende meu carro é placa AAA-9999 e BBB9999 ou ccc2222',

@mascara VARCHAR(MAX) = '[a-zA-Z]{3}-?\d{4}'

SELECT

FROM

CLR.dbo.fncRegexp_Find(@exemplo, @mascara)

FncRegex_Replace Examples

Removing Special Characters

DECLARE @examplo VARCHAR(MAX) = 'Re@move%ndo car$act¨eres ()_+especi*%#!ais no meu texto:^{}<>|\'

SELECT
    CLR.dbo.fncRegex_Replace(@examplo, '[^a-zA-Z0-9 ]', '')

DECLARE @examplo VARCHAR(MAX) = '[email protected]%ndo car$act¨eres ()_+especi*%#!ais no meu texto:^{}<>|\'

SELECT

CLR.dbo.fncRegex_Replace(@examplo, '[^a-zA-Z0-9 ]', '')

Removing HTML Tags

DECLARE @exemplo VARCHAR(MAX)
SET @exemplo = '<span class="Teste">Utilizando</span> <strong>RegExp</strong> para <u>remover</u> códigos HTML <!-- (até comentários) -->. Veja mais no <a href="https://dirceuresende.com/blog">meu blog</a>'

SELECT
    CLR.dbo.fncRegex_Replace(@exemplo, '<(?:[^>''"]*|([''"]).*?\1)*>', '')

DECLARE @exemplo VARCHAR(MAX)

SET @exemplo = 'Utilizando RegExp para remover códigos HTML . Veja mais no <a href="https://dirceuresende.com/blog">meu blog</a>'

SELECT

CLR.dbo.fncRegex_Replace(@exemplo, '<(?:[^>''"]*|([''"]).*?\1)*>', '')

Convert tabular data to INSERT command in database

DECLARE @exemplo VARCHAR(MAX) = '1|Dirceu|154
2|Resende|467
3|Blog|1348
4|SQL Server|139
'

PRINT 
    CLR.dbo.fncRegex_Replace(
        @exemplo,
        '([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+', 
        'INSERT INTO Tabela (Coluna1, Coluna2, Coluna3) VALUES ($1, ''$2'', $3);
');

DECLARE @exemplo VARCHAR(MAX) = '1|Dirceu|154

2|Resende|467

3|Blog|1348

4|SQL Server|139

CLR.dbo.fncRegex_Replace(

@exemplo,

'([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+',

'INSERT INTO Tabela (Coluna1, Coluna2, Coluna3) VALUES ($1, ''$2'', $3);

');

Remove duplicate words

DECLARE @examplo VARCHAR(MAX) = 'RegExp para remover remover palavras duplicadas duplicadas duplicadas'

SELECT
    CLR.dbo.fncRegex_Replace(@examplo, '\b(\w+)(?:\s+\1\b)+', '$1')

DECLARE @examplo VARCHAR(MAX) = 'RegExp para remover remover palavras duplicadas duplicadas duplicadas'

SELECT

CLR.dbo.fncRegex_Replace(@examplo, '\b(\w+)(?:\s+\1\b)+', '$1')

C # source code of functions

If you want to use these functions in your own SQLCLR project, you can use the source codes provided below:

fncRegex_Replace

using System;
using System.Data.SqlTypes;
using System.Text.RegularExpressions;

public partial class UserDefinedFunctions
{
    [Microsoft.SqlServer.Server.SqlFunction]
    public static SqlString fncRegex_Replace(SqlString Ds_Texto, SqlString Ds_Mascara, SqlString Ds_Substituir)
    {

        if (Ds_Texto.IsNull || Ds_Mascara.IsNull || Ds_Substituir.IsNull)
            return SqlString.Null;

        try
        {
            return Regex.Replace(Ds_Texto.Value, Ds_Mascara.Value, Ds_Substituir.Value);
        }
        catch (Exception e)
        {
            return SqlString.Null;
        }

    }
}

using System;

using System.Data.SqlTypes;

using System.Text.RegularExpressions;

public partial class UserDefinedFunctions

{

[Microsoft.SqlServer.Server.SqlFunction]

public static SqlString fncRegex_Replace(SqlString Ds_Texto, SqlString Ds_Mascara, SqlString Ds_Substituir)

{

if (Ds_Texto.IsNull || Ds_Mascara.IsNull || Ds_Substituir.IsNull)

return SqlString.Null;

try

{

return Regex.Replace(Ds_Texto.Value, Ds_Mascara.Value, Ds_Substituir.Value);

}

catch (Exception e)

{

return SqlString.Null;

}

fncRegexp_Match

using System;
using System.Data.SqlTypes;
using System.Text.RegularExpressions;

public partial class UserDefinedFunctions
{
    [Microsoft.SqlServer.Server.SqlFunction]
    public static SqlString fncRegex_Match(SqlString Ds_Texto, SqlString Ds_Mascara)
    {

        if (Ds_Texto.IsNull || Ds_Mascara.IsNull)
            return SqlString.Null;

        try
        {
            var resultado = Regex.Match(Ds_Texto.Value, Ds_Mascara.Value);
            return resultado.Success ? resultado.Groups[0].Value : SqlString.Null;
        }
        catch (Exception e)
        {
            return SqlString.Null;
        }

    }
}

using System;

using System.Data.SqlTypes;

using System.Text.RegularExpressions;

public partial class UserDefinedFunctions

{

[Microsoft.SqlServer.Server.SqlFunction]

public static SqlString fncRegex_Match(SqlString Ds_Texto, SqlString Ds_Mascara)

{

if (Ds_Texto.IsNull || Ds_Mascara.IsNull)

return SqlString.Null;

try

{

var resultado = Regex.Match(Ds_Texto.Value, Ds_Mascara.Value);

return resultado.Success ? resultado.Groups[0].Value : SqlString.Null;

}

catch (Exception e)

{

return SqlString.Null;

}

fncRegexp_Find

using System.Collections;
using System.Data.SqlTypes;
using System.Text.RegularExpressions;
using Microsoft.SqlServer.Server;

public partial class UserDefinedFunctions
{

    private class RegexpFind
    {

        public SqlInt32 Nr_Linha;
        public SqlString Ds_Texto;

        public RegexpFind(SqlInt32 nrLinha, SqlString dsTexto)
        {

            Nr_Linha = nrLinha;
            Ds_Texto = dsTexto;

        }

    }

    [Microsoft.SqlServer.Server.SqlFunction(
        FillRowMethodName = "FillRow_Regexp_Find",
        TableDefinition = "Nr_Linha INT, Ds_Texto NVARCHAR(MAX)",
        DataAccess = DataAccessKind.Read,
        SystemDataAccess = SystemDataAccessKind.Read
    )]
    public static IEnumerable fncRegexp_Find(string Ds_Texto, string Ds_Mascara)
    {


        var regexpFindCollection = new ArrayList();

        if (string.IsNullOrEmpty(Ds_Texto) || string.IsNullOrEmpty(Ds_Mascara))
            return regexpFindCollection;

        var contador = 1;
        var retorno = Regex.Matches(Ds_Texto, Ds_Mascara, RegexOptions.None);

        foreach (var linha in retorno)
        {

            regexpFindCollection.Add(new RegexpFind(
                contador,
                linha.ToString()
            ));

            contador++;
        }

        

        return regexpFindCollection;

    }

    protected static void FillRow_Regexp_Find(object objRegexpFind, out SqlInt32 nrLinha, out SqlString dsTexto)
    {

        var regexpFind = (RegexpFind) objRegexpFind;

        nrLinha = regexpFind.Nr_Linha;
        dsTexto = regexpFind.Ds_Texto;

    }

}

using System.Collections;

using System.Data.SqlTypes;

using System.Text.RegularExpressions;

using Microsoft.SqlServer.Server;

public partial class UserDefinedFunctions

{

private class RegexpFind

{

public SqlInt32 Nr_Linha;

public SqlString Ds_Texto;

public RegexpFind(SqlInt32 nrLinha, SqlString dsTexto)

{

Nr_Linha = nrLinha;

Ds_Texto = dsTexto;

}

[Microsoft.SqlServer.Server.SqlFunction(

FillRowMethodName = "FillRow_Regexp_Find",

TableDefinition = "Nr_Linha INT, Ds_Texto NVARCHAR(MAX)",

DataAccess = DataAccessKind.Read,

SystemDataAccess = SystemDataAccessKind.Read

)]

public static IEnumerable fncRegexp_Find(string Ds_Texto, string Ds_Mascara)

{

var regexpFindCollection = new ArrayList();

if (string.IsNullOrEmpty(Ds_Texto) || string.IsNullOrEmpty(Ds_Mascara))

return regexpFindCollection;

var contador = 1;

var retorno = Regex.Matches(Ds_Texto, Ds_Mascara, RegexOptions.None);

foreach (var linha in retorno)

{

regexpFindCollection.Add(new RegexpFind(

contador,

linha.ToString()

));

contador++;

}

return regexpFindCollection;

}

protected static void FillRow_Regexp_Find(object objRegexpFind, out SqlInt32 nrLinha, out SqlString dsTexto)

{

var regexpFind = (RegexpFind) objRegexpFind;

nrLinha = regexpFind.Nr_Linha;

dsTexto = regexpFind.Ds_Texto;

}

T-SQL source code of functions

If you are not very familiar with C # or Visual Studio projects, but still want to use regular expressions in SQL Server, I will make available the T-SQL code below, which will allow you to create the assembly and functions in your database, without much effort, just pressing “F5” in this script:

CREATE ASSEMBLY [Regexp]
FROM 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WITH PERMISSION_SET = SAFE
GO

CREATE FUNCTION [dbo].[fncRegex_Match] (@Ds_Texto [nvarchar](MAX), @Ds_Mascara [nvarchar](MAX))
RETURNS [nvarchar](MAX)
AS EXTERNAL NAME [Regexp].[UserDefinedFunctions].[fncRegex_Match];
GO

CREATE FUNCTION [dbo].[fncRegex_Replace] (@Ds_Texto [nvarchar](MAX), @Ds_Mascara [nvarchar](MAX), @Ds_Substituir [nvarchar](MAX))
RETURNS [nvarchar](MAX)
AS EXTERNAL NAME [Regexp].[UserDefinedFunctions].[fncRegex_Replace];
GO

CREATE FUNCTION [dbo].[fncRegexp_Find](@Ds_Texto [nvarchar](max), @Ds_Mascara [nvarchar](max))
RETURNS  TABLE (
    [Nr_Linha] [int] NULL,
    [Ds_Texto] [nvarchar](max) NULL
) WITH EXECUTE AS CALLER
AS 
EXTERNAL NAME [Regexp].[UserDefinedFunctions].[fncRegexp_Find]
GO

CREATE ASSEMBLY [Regexp]

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WITH PERMISSION_SET = SAFE

CREATE FUNCTION [dbo].[fncRegex_Match] (@Ds_Texto [nvarchar](MAX), @Ds_Mascara [nvarchar](MAX))

RETURNS [nvarchar](MAX)

AS EXTERNAL NAME [Regexp].[UserDefinedFunctions].[fncRegex_Match];

CREATE FUNCTION [dbo].[fncRegex_Replace] (@Ds_Texto [nvarchar](MAX), @Ds_Mascara [nvarchar](MAX), @Ds_Substituir [nvarchar](MAX))

RETURNS [nvarchar](MAX)

AS EXTERNAL NAME [Regexp].[UserDefinedFunctions].[fncRegex_Replace];

CREATE FUNCTION [dbo].[fncRegexp_Find](@Ds_Texto [nvarchar](max), @Ds_Mascara [nvarchar](max))

RETURNS TABLE (

[Nr_Linha] [int] NULL,

[Ds_Texto] [nvarchar](max) NULL

) WITH EXECUTE AS CALLER

EXTERNAL NAME [Regexp].[UserDefinedFunctions].[fncRegexp_Find]

Alternative #3: ECMA Dialect with OLE Automation and VBScript

Using the OLE Automation method, you will have access to all features of the ECMA dialect in your SQL Server, and can create very complex regular expressions. The cost of this is that using OLE Automation may slow your code execution than the other options, but its implementation is simpler than the alternative using SQLCLR.

Available since the 2000 release, OLE Automation may cause some instability in your instance due to known memory management issues by SQL Server, one of the reasons why SQLCLR was replaced with this feature. The message is: Use sparingly.

Want to know more about OLE Automation? Be sure to read these articles below:
- Enabling OLE Automation via T-SQL on SQL Server
- File Operations Using OLE Automation in SQL Server
- Other posts about OLE Automation

View content

An alternative to the SQL Server LIKE operator, which, while offering (relatively) good performance and some cool features, is still somewhat limited and does not support most complex regular expression operators, we can use the ECMA dialect. (same as Javascript) with the help of the OLE Automation feature.

How to enable OLE Automation

To enable OLE Automation on your instance, simply run the following command:

sp_configure 'show advanced options', 1;
GO
RECONFIGURE;
GO
sp_configure 'Ole Automation Procedures', 1;
GO
RECONFIGURE;
GO
sp_configure 'Agent XPs', 1;
GO
RECONFIGURE;
GO
sp_configure 'show advanced options', 1;
GO
RECONFIGURE;
GO

sp_configure 'show advanced options', 1;

RECONFIGURE;

sp_configure 'Ole Automation Procedures', 1;

RECONFIGURE;

sp_configure 'Agent XPs', 1;

RECONFIGURE;

sp_configure 'show advanced options', 1;

RECONFIGURE;

To know my other articles about OLE Automation, access this link here.

For this topic, I will use the excellent functions of Phil Factor RegexReplace, RegexMatch and RegexFind (source code after the examples).

RegexMatch Usage Examples

Identify repeated words

SELECT 
    dbo.RegexMatch('\b(\w+)\s+\1\b','Essa frase frase contém palavras repetidas'),
    dbo.RegexMatch('\b(\w+)\s+\1\b','Essa frase NÃO contém palavras repetidas')

SELECT

dbo.RegexMatch('\b(\w+)\s+\1\b','Essa frase frase contém palavras repetidas'),

dbo.RegexMatch('\b(\w+)\s+\1\b','Essa frase NÃO contém palavras repetidas')

Identify nearby words

-- Verifica se na frase, a palavra "Resende" está de 1 até 6 palavras após a palavra "Dirceu"
SELECT
    dbo.RegexMatch('\bDirceu(?:\W+\w+){1,6}?\W+Resende\b', 'Meu nome é Dirceu e meu sobrenome é Resende. Trabalho com BI e SQL Server')

-- Verifica se na frase, a palavra "Resende" está de 1 até 2 palavras após a palavra "Dirceu"
SELECT
    dbo.RegexMatch('\bDirceu(?:\W+\w+){1,2}?\W+Resende\b', 'Meu nome é Dirceu e meu sobrenome é Resende. Trabalho com BI e SQL Server')

-- Verifica se na frase, a palavra "Resende" está de 1 até 6 palavras após a palavra "Dirceu"

SELECT

dbo.RegexMatch('\bDirceu(?:\W+\w+){1,6}?\W+Resende\b', 'Meu nome é Dirceu e meu sobrenome é Resende. Trabalho com BI e SQL Server')

-- Verifica se na frase, a palavra "Resende" está de 1 até 2 palavras após a palavra "Dirceu"

SELECT

dbo.RegexMatch('\bDirceu(?:\W+\w+){1,2}?\W+Resende\b', 'Meu nome é Dirceu e meu sobrenome é Resende. Trabalho com BI e SQL Server')

Validating a specific numeric mask (zip code)

SELECT
    -- Retorna 1 se a string atende o formato "99999-999"
    dbo.RegexMatch('[0-9]{5}-[0-9]{3}', '29090-270'),
    dbo.RegexMatch('[0-9]{5}-[0-9]{3}', '29.090-270'),
    dbo.RegexMatch('[0-9]{5}-[0-9]{3}', '29090270')

SELECT 
    -- Retorna 1 se a string atende o formato "99.999-999"
    dbo.RegexMatch('[0-9]{2}.[0-9]{3}-[0-9]{3}', '29090-270'),
    dbo.RegexMatch('[0-9]{2}.[0-9]{3}-[0-9]{3}', '29.090-270'),
    dbo.RegexMatch('[0-9]{2}.[0-9]{3}-[0-9]{3}', '29090270')

SELECT
    -- Retorna 1 se a string atende o formato "99999999"
    dbo.RegexMatch('[0-9]{8}', '29090-270'),
    dbo.RegexMatch('[0-9]{8}', '29.090-270'),
    dbo.RegexMatch('[0-9]{8}', '29090270')

SELECT

-- Retorna 1 se a string atende o formato "99999-999"

dbo.RegexMatch('[0-9]{5}-[0-9]{3}', '29090-270'),

dbo.RegexMatch('[0-9]{5}-[0-9]{3}', '29.090-270'),

dbo.RegexMatch('[0-9]{5}-[0-9]{3}', '29090270')

SELECT

-- Retorna 1 se a string atende o formato "99.999-999"

dbo.RegexMatch('[0-9]{2}.[0-9]{3}-[0-9]{3}', '29090-270'),

dbo.RegexMatch('[0-9]{2}.[0-9]{3}-[0-9]{3}', '29.090-270'),

dbo.RegexMatch('[0-9]{2}.[0-9]{3}-[0-9]{3}', '29090270')

SELECT

-- Retorna 1 se a string atende o formato "99999999"

dbo.RegexMatch('[0-9]{8}', '29090-270'),

dbo.RegexMatch('[0-9]{8}', '29.090-270'),

dbo.RegexMatch('[0-9]{8}', '29090270')

Validating CPF and CNPJ (format only, no DV)

SELECT
    -- Valida se o CPF informado atende a máscara "999.999.999-99"
    dbo.RegexMatch('^\d{3}\.\d{3}\.\d{3}\-\d{2}$','123.456.789-09'),
    dbo.RegexMatch('^\d{3}\.\d{3}\.\d{3}\-\d{2}$','12X.456.789-09'),
    dbo.RegexMatch('^\d{3}\.\d{3}\.\d{3}\-\d{2}$','12345678909')

SELECT
    -- Valida se o CNPJ informado atende a máscara "99.999.999/9999-99"
    dbo.RegexMatch('^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$','12.345.678/1234-09'),
    dbo.RegexMatch('^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$','12.3X5.678/1234-09'),
    dbo.RegexMatch('^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$','12345678123409')

SELECT

-- Valida se o CPF informado atende a máscara "999.999.999-99"

dbo.RegexMatch('^\d{3}\.\d{3}\.\d{3}\-\d{2}$','123.456.789-09'),

dbo.RegexMatch('^\d{3}\.\d{3}\.\d{3}\-\d{2}$','12X.456.789-09'),

dbo.RegexMatch('^\d{3}\.\d{3}\.\d{3}\-\d{2}$','12345678909')

SELECT

-- Valida se o CNPJ informado atende a máscara "99.999.999/9999-99"

dbo.RegexMatch('^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$','12.345.678/1234-09'),

dbo.RegexMatch('^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$','12.3X5.678/1234-09'),

dbo.RegexMatch('^\d{2}\.\d{3}\.\d{3}\/\d{4}\-\d{2}$','12345678123409')

RegexFind Usage Examples

Recover passages where the word “Dirceu” appears in the text

DECLARE @exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende e quero demonstrar como o Regexp é útil nesse artigo do Dirceu Resende blog do Wordpress'

SELECT 
    '...' + SUBSTRING(@exemplo, FirstIndex - 8, Length + 16) + '...'
FROM 
    dbo.RegexFind('\bDirceu(?:\W+\w+){0,3}', @exemplo, 1, 1)

DECLARE @exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende e quero demonstrar como o Regexp é útil nesse artigo do Dirceu Resende blog do Wordpress'

SELECT

'...' + SUBSTRING(@exemplo, FirstIndex - 8, Length + 16) + '...'

FROM

dbo.RegexFind('\bDirceu(?:\W+\w+){0,3}', @exemplo, 1, 1)

Finding repeated words over and over

-- encontrando palavras repetidas seguidamente
DECLARE @exemplo VARCHAR(2000) = 'nesse exemplo exemplo eu gostaria de eu demonstrar como identificar palavras palavras repetidas repetidas eu'

SELECT [Value] FROM dbo.RegexFind ('\b(\w+)\s+\1\b', @exemplo, 1, 1)

-- encontrando palavras repetidas seguidamente

DECLARE @exemplo VARCHAR(2000) = 'nesse exemplo exemplo eu gostaria de eu demonstrar como identificar palavras palavras repetidas repetidas eu'

SELECT [Value] FROM dbo.RegexFind ('\b(\w+)\s+\1\b', @exemplo, 1, 1)

Returning a resultset with line breaks (split)

DECLARE @exemplo VARCHAR(MAX) = '
Segunda linha
Terceira linha
Quarta linha'

SELECT Value 
FROM dbo.RegexFind('[^\r\n]*(?:[\r\n]*)', @exemplo,1,1) 
WHERE [Length] > 0

DECLARE @exemplo VARCHAR(MAX) = '

Segunda linha

Terceira linha

Quarta linha'

SELECT Value

FROM dbo.RegexFind('[^\r\n]*(?:[\r\n]*)', @exemplo,1,1)

WHERE [Length] > 0

Break lines for each word of the sentence (split)

DECLARE @exemplo VARCHAR(MAX) = 'Com essa função, cada palavra vai ficar em uma linha do resultado'

SELECT Value 
FROM dbo.RegexFind ('\b[\w]+\b', @exemplo,1,1)

DECLARE @exemplo VARCHAR(MAX) = 'Com essa função, cada palavra vai ficar em uma linha do resultado'

SELECT Value

FROM dbo.RegexFind ('\b[\w]+\b', @exemplo,1,1)

Retrieve valid dates only

DECLARE @exemplo VARCHAR(MAX) = '
12/2/2006 12:30 <> 13/2/2007
32/3/2007
2-4-2007
25.8.2007
1/1/2005
34/2/2104
2/5/2006'

SELECT 
    DISTINCT CONVERT(DATETIME, Value, 103) 
FROM 
    dbo.RegexFind ('\b(0?[1-9]|[12][0-9]|3[01])[- /.](0?[1-9]|1[012])[- /.](19|20?[0-9]{2})\b', @exemplo, 1, 1)

DECLARE @exemplo VARCHAR(MAX) = '

12/2/2006 12:30 <> 13/2/2007

32/3/2007

2-4-2007

25.8.2007

1/1/2005

34/2/2104

2/5/2006'

SELECT

DISTINCT CONVERT(DATETIME, Value, 103)

FROM

dbo.RegexFind ('\b(0?[1-9]|[12][0-9]|3[01])[- /.](0?[1-9]|1[012])[- /.](19|20?[0-9]{2})\b', @exemplo, 1, 1)

Identifying license plates on a string

DECLARE 
    @exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende meu carro é placa AAA-9999 e BBB9999 ou ccc2222',
    @mascara VARCHAR(MAX) = '[a-zA-Z]{3}-?\d{4}'

SELECT 
    [Value]
FROM 
    dirceuresende.dbo.RegexFind(@mascara, @exemplo, 1, 1)

DECLARE

@exemplo VARCHAR(2000) = 'Olá pessoal! Meu nome é Dirceu Resende meu carro é placa AAA-9999 e BBB9999 ou ccc2222',

@mascara VARCHAR(MAX) = '[a-zA-Z]{3}-?\d{4}'

SELECT

[Value]

FROM

dirceuresende.dbo.RegexFind(@mascara, @exemplo, 1, 1)

RegexReplace Usage Examples

Identifies URL and encapsulates as html link - tag A

SELECT  
    dbo.RegexReplace(
        '\b(https?|ftp|file)://([-A-Z0-9+&@#/%?=~_|!:,.;]*[-A-Z0-9+&@#/%=~_|])', 
        '<a href="$2">$2</a>',
        'Testando Regexp com o site do https://www.google.com.br', 1, 1
    )

SELECT

dbo.RegexReplace(

'\b(https?|ftp|file)://([-A-Z0-9+&@#/%?=~_|!:,.;]*[-A-Z0-9+&@#/%=~_|])',

'<a href="$2">$2</a>',

'Testando Regexp com o site do https://www.google.com.br', 1, 1

)

Remove HTML strings from text

DECLARE @exemplo VARCHAR(MAX)
SET @exemplo = '<span class="Teste">Utilizando</span> <strong>RegExp</strong> para <u>remover</u> códigos HTML <!-- (até comentários) -->. Veja mais no <a href="https://dirceuresende.com/blog">meu blog</a>'

SELECT
    dbo.RegexReplace('<(?:[^>''"]*|([''"]).*?\1)*>', '', @exemplo, 1, 1)

DECLARE @exemplo VARCHAR(MAX)

SELECT

dbo.RegexReplace('<(?:[^>''"]*|([''"]).*?\1)*>', '', @exemplo, 1, 1)

Convert tabular data to INSERT command in database

DECLARE @exemplo VARCHAR(MAX) = '1|Dirceu|154
2|Resende|467
3|Blog|1348
4|SQL Server|139
'

PRINT 
    dbo.RegexReplace(
        '([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+', 
        'INSERT INTO Tabela (Coluna1, Coluna2, Coluna3) VALUES ($1, ''$2'', $3);
', 
        @exemplo, 1, 1
    );

DECLARE @exemplo VARCHAR(MAX) = '1|Dirceu|154

2|Resende|467

3|Blog|1348

4|SQL Server|139

dbo.RegexReplace(

'([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+([^\|\r\n]+)[|\r\n]+',

'INSERT INTO Tabela (Coluna1, Coluna2, Coluna3) VALUES ($1, ''$2'', $3);

@exemplo, 1, 1

);

Remove duplicate words

DECLARE @examplo VARCHAR(MAX) = 'RegExp para remover remover palavras duplicadas duplicadas duplicadas'

SELECT
    dbo.RegexReplace('\b(\w+)(?:\s+\1\b)+', '$1', @examplo, 1, 1)

DECLARE @examplo VARCHAR(MAX) = 'RegExp para remover remover palavras duplicadas duplicadas duplicadas'

SELECT

dbo.RegexReplace('\b(\w+)(?:\s+\1\b)+', '$1', @examplo, 1, 1)

Removing Special Characters

DECLARE @examplo VARCHAR(MAX) = 'Re@move%ndo car$act¨eres ()_+especi*%#!ais no meu texto:^{}<>|\'

SELECT
    dbo.RegexReplace('[^a-zA-Z0-9 ]', '', @examplo, 1, 1)

DECLARE @examplo VARCHAR(MAX) = '[email protected]%ndo car$act¨eres ()_+especi*%#!ais no meu texto:^{}<>|\'

SELECT

dbo.RegexReplace('[^a-zA-Z0-9 ]', '', @examplo, 1, 1)

RegexFind Function Code

CREATE FUNCTION RegexFind (
    @pattern VARCHAR(255),
    @matchstring VARCHAR(MAX),
    @global BIT = 1,
    @Multiline bit = 1
)
RETURNS @result TABLE (
    Match_ID INT,
    FirstIndex INT ,
    [Length] INT ,
    [Value] VARCHAR(2000),
    Submatch_ID INT,
    SubmatchValue VARCHAR(2000),
    Error VARCHAR(255)
)
AS
BEGIN

    DECLARE 
        @objRegexExp INT,
        @objErrorObject INT,
        @objMatch INT,
        @objSubMatches INT,
        @strErrorMessage VARCHAR(255),
        @error VARCHAR(255),
        @Substituted VARCHAR(8000),
        @hr INT,
        @matchcount INT,
        @SubmatchCount INT,
        @ii INT,
        @jj INT,
        @FirstIndex INT,
        @length INT,
        @Value VARCHAR(2000),
        @SubmatchValue VARCHAR(2000),
        @objSubmatchValue INT,
        @command VARCHAR(8000),
        @Match_ID INT
        
    DECLARE @match TABLE (
        Match_ID INT IDENTITY(1, 1) NOT NULL,
        FirstIndex INT NOT NULL,
        [length] INT NOT NULL,
        [Value] VARCHAR(2000)
    )

    DECLARE @Submatch TABLE (
        Submatch_ID INT IDENTITY(1, 1),
        match_ID INT NOT NULL,
        SubmatchNo INT NOT NULL,
        SubmatchValue VARCHAR(2000)
    )
    
    SELECT  @strErrorMessage = 'creating a regex object',@error=''
    EXEC @hr= sp_OACreate 'VBScript.RegExp', @objRegexExp OUT
    
    IF @hr = 0
        SELECT  @strErrorMessage = 'Setting the Regex pattern',
                @objErrorObject = @objRegexExp
    
    IF @hr = 0
        EXEC @hr= sp_OASetProperty @objRegexExp, 'Pattern', @pattern
    
    IF @hr = 0
        SELECT  @strErrorMessage = 'Specifying a case-insensitive match'
    
    IF @hr = 0
        EXEC @hr= sp_OASetProperty @objRegexExp, 'IgnoreCase', 1
    
    IF @hr = 0
        EXEC @hr= sp_OASetProperty @objRegexExp, 'MultiLine', @Multiline
    
    IF @hr = 0
        EXEC @hr= sp_OASetProperty @objRegexExp, 'Global', @global
    
    IF @hr = 0
        SELECT  @strErrorMessage = 'Doing a match'
    
    IF @hr = 0
        EXEC @hr= sp_OAMethod @objRegexExp, 'execute', @objMatch OUT,
            @matchstring
    IF @hr = 0
        SELECT  @strErrorMessage = 'Getting the number of matches'    
    
    IF @hr = 0
        EXEC @hr= sp_OAGetProperty @objmatch, 'count', @matchcount OUT
   

    SET @ii = 0


/*
    
The Match object has four read-only properties.
The FirstIndex property indicates the number of characters in the string to the left of the match.
The Length property of the Match object indicates the number of characters in the match.
The Value property returns the text that was matched.
 
*/

    WHILE (@hr = 0 AND @ii < @Matchcount)
    BEGIN
    
        SELECT  
            @strErrorMessage = 'Getting the FirstIndex property',
            @command = 'item(' + CAST(@ii AS VARCHAR) + ').FirstIndex'    
            
        IF @hr = 0
            EXEC @hr= sp_OAGetProperty @objmatch, @command, @Firstindex OUT
            
        IF @hr = 0
            SELECT  
                @strErrorMessage = 'Getting the length property',
                @command = 'item(' + CAST(@ii AS VARCHAR) + ').Length'    
            
        IF @hr = 0
            EXEC @hr= sp_OAGetProperty @objmatch, @command, @Length OUT
            
        IF @hr = 0
            SELECT
                @strErrorMessage = 'Getting the value property',
                @command = 'item(' + CAST(@ii AS VARCHAR) + ').Value'    
            
        IF @hr = 0
            EXEC @hr= sp_OAGetProperty @objmatch, @command, @Value OUT
            
        INSERT INTO @match (
            Firstindex,
            [Length],
            [Value]
        )
        SELECT  
            @firstindex + 1,
            @Length,
            @Value

        SELECT  @Match_ID = @@Identity        
    
        -- The SubMatches property of the Match object is a collection of strings. It will only hold values if your regular expression has capturing groups. The collection will hold one string for each capturing group. The Count property (returned as SubmatchCount) indicates the number of string in the collection. The Item property takes an index parameter, and returns the text matched by the capturing group.
        IF @hr = 0
            SELECT  
                @strErrorMessage = 'Getting the SubMatches collection',
                @command = 'item(' + CAST(@ii AS VARCHAR) + ').SubMatches' 
                           
        IF @hr = 0
            SELECT  @strErrorMessage = 'Getting the number of submatches'    
            
        IF @hr = 0
            EXEC @hr= sp_OAGetProperty @objSubmatches, 'count', @submatchCount OUT

        SET @jj = 0
        WHILE (@hr = 0 AND @jj < @submatchCount)
        BEGIN

            IF @hr = 0
                SELECT
                    @strErrorMessage = 'Getting the submatch value property',
                    @command = 'item(' + CAST(@jj AS VARCHAR) + ')' ,@submatchValue=NULL  
                    
            IF @hr = 0
                EXEC @hr= sp_OAGetProperty @objSubmatches, @command, @SubmatchValue OUT
                    
            INSERT INTO @Submatch (
                Match_ID,
                SubmatchNo,
                SubmatchValue
            )
            SELECT
                @Match_ID,
                @jj+1,
                @SubmatchValue

            SET @jj += 1

        END

        EXEC @hr= sp_OAGetProperty @objmatch, @command, @objSubmatches OUT  
                  
        SET @ii += 1

    END


    IF (@hr <> 0)
    BEGIN

        DECLARE 
            @Source VARCHAR(255),
            @Description VARCHAR(255),
            @Helpfile VARCHAR(255),
            @HelpID INT
  
        EXECUTE sp_OAGetErrorInfo @objErrorObject, @source OUTPUT, @Description OUTPUT, @Helpfile OUTPUT, @HelpID OUTPUT
        
        SET @Error = 'Error whilst ' + COALESCE(@strErrorMessage, 'doing something') + ', ' + COALESCE(@Description, '')

    END


    EXEC sp_OADestroy @objRegexExp
    EXEC sp_OADestroy @objMatch
    EXEC sp_OADestroy @objSubMatches
 

    INSERT INTO @result (
        Match_ID,
        FirstIndex,
        [Length],
        [Value],
        Submatch_ID,
        SubmatchValue,
        Error
    )
    SELECT  
        m.[Match_ID],
        [FirstIndex],
        [Length],
        [Value],
        [SubmatchNo],
        [SubmatchValue],
        @error
    FROM
        @match m
        LEFT OUTER JOIN @submatch s ON m.match_ID = s.match_ID

    IF (@@ROWCOUNT = 0 AND LEN(@error) > 0)
        INSERT INTO @result(Error)
        SELECT @error

    RETURN

END
GO

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Recent Posts

SQL Server - How to use regular expressions (RegExp) in your database

Alternative #1: LIKE and PATINDEX

Case sensitive

Filtering the first letter

Filtering the first letters + Case sensitive

Applying a specific custom filter

Using the negation operator (^)

Using the escape operator

Identifying Special Characters

Using numbers

Validating Emails

Retrieving only the numeric part of a string

Alternative #2: .NET Dialect with SQLCLR

FncRegex_Match Examples

FncRegex_Find Examples

FncRegex_Replace Examples

C # source code of functions

T-SQL source code of functions

Alternative #3: ECMA Dialect with OLE Automation and VBScript

How to enable OLE Automation

RegexMatch Usage Examples

RegexFind Usage Examples

RegexReplace Usage Examples

RegexFind Function Code