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Скачать или смотреть Enforcing CHECK Constraints on SQL Server Views

  • vlogize
  • 2025-05-26
  • 0
Enforcing CHECK Constraints on SQL Server Views
CHECK on a VIEW in SQL Serversqlsql servert sql
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Описание к видео Enforcing CHECK Constraints on SQL Server Views

Discover how to implement `CHECK` constraints in SQL Server views effectively, ensuring data integrity with the `WITH CHECK OPTION`.
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This video is based on the question https://stackoverflow.com/q/66118533/ asked by the user 'EngineerSpock' ( https://stackoverflow.com/u/1013131/ ) and on the answer https://stackoverflow.com/a/66118619/ provided by the user 'Amira Bedhiafi' ( https://stackoverflow.com/u/9517769/ ) 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: CHECK on a VIEW in SQL Server

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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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Enforcing CHECK Constraints on SQL Server Views

When working with databases, ensuring data integrity is vital. In PostgreSQL, developers can enforce checks on views using the WITH LOCAL CHECK OPTION. However, if you're using SQL Server, you might be wondering: Is there a way to enforce such checks on a view? The answer is yes, and in this post, we'll walk you through how to implement this feature effectively.

The Challenge: Ensuring Data Integrity in Views

In PostgreSQL, the WITH LOCAL CHECK OPTION ensures that any data inserted or updated through a view satisfies the conditions set in its WHERE clause. For example, if you create a view named HeavyOrders that only includes orders with a weight greater than 100, you cannot insert an order with a weight less than 100 into this view. This maintains the integrity of your data.

Example in PostgreSQL

Here's a look at how it's done in PostgreSQL:

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

If you then tried to insert an order with a weight less than 100, like so:

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

You would encounter an error, effectively preventing the insertion of invalid data into your view.

The Solution for SQL Server: Using WITH CHECK OPTION

In SQL Server, you can achieve the same functionality by using the WITH CHECK OPTION when creating your view. This clause ensures that any INSERT or UPDATE statement executed against your view adheres to the restrictions defined in the WHERE clause.

Creating a View with WITH CHECK OPTION

To create a view similar to the HeavyOrders example in SQL Server, use the following SQL code:

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

How WITH CHECK OPTION Works

Data Integrity: The WITH CHECK OPTION ensures that any changes to data through the view do not violate the conditions specified in the WHERE clause.

Validation on Inserts and Updates: Whenever you try to insert new records or update existing ones through this view, SQL Server will validate the operations. If the new or updated data does not meet the criteria (in this case, Weight > 100), SQL Server will reject the operation and provide an error message.

Example of Usage in SQL Server

If you attempted to perform an INSERT operation as shown above where the Weight is less than 100, SQL Server would respond with an error message, just like PostgreSQL.

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

Conclusion

Enforcing data integrity in your SQL Server views is crucial for maintaining a reliable database. By using the WITH CHECK OPTION, you can ensure that your views prevent invalid data from being inserted or updated.

This functionality is analogous to PostgreSQL's use of WITH LOCAL CHECK OPTION, enabling you to maintain strict compliance with the constraints established in your views. By carefully structuring your views with these options, you can safeguard your database integrity and ensure that all operations remain consistent with your business rules.

If you have any further questions about using views and constraints in SQL Server, feel free to ask!

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