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How to Use Generic Lists in SQL Merge Statements

How to use generic list in sql merge Statement

c#

sql

Автор: vlogize

Загружено: 2025-07-26

Просмотров: 0

Описание: Discover how to effectively use user-defined table types in SQL merge statements and understand the limitations when working with generic lists in C# .
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This video is based on the question https://stackoverflow.com/q/67890260/ asked by the user 'EDP' ( https://stackoverflow.com/u/15957251/ ) and on the answer https://stackoverflow.com/a/67890357/ provided by the user 'ΩmegaMan' ( https://stackoverflow.com/u/285795/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to use generic list in sql merge Statement

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Introduction: The Problem with Generic Lists in SQL Merge Statements

If you're working in C# and trying to implement SQL Merge Statements, you may have encountered a particular roadblock while attempting to pass a Generic List as a User Defined Table Type (UDT). This scenario often arises when developers need to use C# data types seamlessly with SQL Server. While you can successfully work with DataTables, the desire to use Generic Lists for improved flexibility might leave you wondering: How can I use a Generic List in SQL Merge Statements?

In this guide, we’ll clarify why it's not possible to directly use Generic Lists for SQL Merge operations, along with a step-by-step guide on how to leverage User Defined Table Types instead.

The Limitation: Why Generic Lists Cannot Be Used

Unfortunately, the direct answer is that you cannot pass a Generic List as a User Defined Table Type in a SQL Merge Statement. Here are the main reasons for this limitation:

Type Mapping: User defined table types in SQL Server require explicit mapping to a model or class in C# . This mapping has to match perfectly, which means you cannot pass an unknown type generically.

Design Constraints: The architecture of both .NET and SQL Server lacks the flexibility to handle dynamic types without pre-defined schemas.

Understanding User Defined Table Types

To understand how to work with table types, let's break down the steps. Here's how you can create and use a User Defined Table Type for your SQL Merge operations.

Step 1: Define Your User Defined Table Type

Firstly, you need to define a UDT in your SQL database. This type will be used to mirror the structure you will be passing from the C# application.

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Test Your User Defined Table Type

Next, you should test the user defined table type by inserting sample data. Here’s an example SQL snippet for testing:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Perform the Merge Operation

Once you've defined and tested your UDT, you can now proceed with the Merge Statement. This command will compare and synchronize your target table with the source data defined in your User Defined Table Type.

Here’s an example of how to structure your Merge operation:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

While it’s a common desire to use flexible data structures like Generic Lists in SQL operations, constraints in SQL Server regarding User Defined Table Types restrict this capability. By utilizing a properly defined User Defined Table Type combined with a structured approach to your SQL Merge Statements, you can effectively solve the problem of data synchronization between C# and SQL Server.

Final Thoughts

If you come across any situation requiring a similar approach, remember that establishing a clear blueprint of your data structure in both SQL Server and C# will save you significant time and effort.

For further questions or assistance on this topic, feel free to leave a comment below or reach out!

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