How to Dynamically Call a Table Valued Function from a String in T-SQL

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Learn how to dynamically call a table valued function from a string in T-SQL and store the results effectively in SQL Server.
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How to Dynamically Call a Table Valued Function from a String in T-SQL

In SQL Server, table valued functions (TVFs) are a powerful feature that allows you to return a set of rows from a function. These can be incredibly useful for modularizing and reusing your code. However, there might be cases where you need to dynamically call a TVF from a string in T-SQL and store the results. This article will guide you through the process to achieve this.

Why Would You Want to Call a TVF Dynamically?

There are several scenarios where dynamically calling a TVF can be useful:

Parameterized Queries: When the function name or parameters are determined at runtime.

Reusable Components: For creating more reusable and flexible database components.

Automated Scripts: For operations that require dynamic execution such as ETL processes or data migration.

Steps to Dynamically Call a TVF

To call a TVF dynamically from a string in T-SQL, you can use dynamic SQL via the sp_executesql stored procedure. This approach provides the flexibility needed for dynamic execution and captures the result set into a table.

Declare Variable to Store SQL String:

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Compose the Dynamic SQL String:

Ensure you include your parameters in the string correctly.

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Prepare a Table to Store the Results:

Define a table structure matching the output of your TVF.

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Execute the Dynamic SQL and Store Results:

Use sp_executesql to run the dynamic SQL and insert the results into the table.

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Access Stored Results:

You can now query or manipulate the data in @Result table.

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Example

Below is a consolidated example which demonstrates dynamically calling a TVF and storing the results:

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Conclusion

Using dynamic SQL to call a table valued function from a string in T-SQL enables more flexibility and modularity in your SQL Server operations. By following the detailed steps and example provided, you can effectively integrate this approach into your SQL development practices.
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