![]() ![]() Public partial class UserDefinedFunctionsįont-family: consolas, “Courier New”, courier, monospace The only unique thing here is the attribute which identifies that this static method defines a UDF. Not a very exciting example, but you can see where you can use any C# code to do any complex processing to create the string that is returned. UDF Examples Example 1: Scalar-valued UDFĪ Scalar valued UDF is a fancy name for a function that returns a single value, they can return any value that can be cast into a SQL Server datatype (int, bit, varchar, etc.), for this example we’ll return a simple string that will be cast as an nvarchar. That’s it! We have a new C# file for each of the two examples that I will be explaining. Once you have a project, lets create two new SQL CLR C# User Defined Functions at the root of the project: ![]() ![]() SQL Server 2012 Data Tools – Business Intelligence for Visual Studio 2012įirst we want to create a new SQL Server Database Project, for this example I’ll call it simply “UDF_Blog”.Great examples of this are when you are implementing system functionality that may exist in another database server to yours, or if you have some complex algorithm that you want to re-use throughout the database. BackgroundĪ User Defined Function (or UDF for short) is exactly what it says, some function callable in SQL that is not part of the system functions. Here is a quick tutorial on how to implement CLR user defined functions. You can bookmark this to hopefully save you from searching the web next time you need to do this. The problem with this is that it is something you probably don’t do very often, so you may forget the specifics on how this works. If you run across something that is just not practical to do in SQL Server via straight T-SQL, one solution can be to use a CLR user defined function. Typically this is the strongest skillset of someone that works with SSIS, however, sometimes that is not good enough. When I’m on a data project such as using SSIS (SQL Server Integration Services) to perform ETL tasks, I try to keep my code in SQL as much as possible. ![]()
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