Introduction:

Stored procedures are a common way to host business logic in data repositories. They provide a standardized and efficient way to perform data-related operations. In this article, we will explore how to execute a stored procedure hosted in Azure SQL Database from a data pipeline built with Azure Data Factory.

Pre-requisites:

Before we begin, make sure you have an instance of Azure SQL Database and Azure Data Factory set up and configured. You will also need a sample table and a stored procedure to work with. You can use SQL Server Management Studio (SSMS) to create these objects.

Executing Stored Procedure from Azure Data Factory:

1. Open the Azure Data Factory portal and navigate to the Author & Monitor section.

2. Click on the Create pipeline icon to create a new data pipeline.

3. Drag and drop the Stored procedure activity control onto the layout.

4. Configure the settings of the control by selecting the linked service for Azure SQL Database and the stored procedure you want to execute.

5. Add parameters to the stored procedure if necessary.

6. Publish the configuration of the data pipeline.

7. Click on the Add trigger button and select Trigger now to start the execution of the data pipeline.

Conclusion:

In this article, we have learned how to execute a stored procedure hosted in an Azure SQL Database using a data pipeline created with Azure Data Factory. Stored procedures are a powerful tool for centralizing business logic in database objects, and using them in data pipelines can improve performance and maintainability.