Skip to main content

SQL Server Data Tools: Setup Continuous Integration for your Database Projects

In Visual Studio 2013, the SQL Server Data Tools are available out-of-the-box. They give you a new project template, the Database project, that allows you to manage your database objects and scripts in a structured way.

In this post I want to explain how you can enable continuous integration and automatically deploy your database changes each time you check-in some code.

Preparation

Before we start make sure that you created a database project and added some database objects. On your TFS build agent, the SQL Server Data Tools should also be installed. If you are using Visual Studio Online(like I will do) together with a hosted Build Controller, the Data Tools are already installed.(Here is the full list of installed components: http://listofsoftwareontfshostedbuildserver.azurewebsites.net/)

Add a Publish Profile

Open Visual Studio and load your Database Project. Once Visual Studio is ready, right-click on your Database Project and click on Publish…

image

The Publish Database window is loaded. Click on Edit… to add a connection string to the database where you want the database project published to. Afterwards click Save Profile As… to save the Publish profile and add it to your Database Project.

image

As we don’t want to deploy immediately, you can click on Cancel to close the window after the Publish profile is saved.

Creating a new Build Definition

Now everything is configured correctly, it’s time to open up Team Explorer(View –> Team Explorer).

image

Go to the Builds tab to add a new Build Definition.

image

Specify a name for your Build and move on to the Trigger tab.

image

Set the Trigger type to Continuous Integration and jump directly to the Build Defaults tab.

image

On the Build Defaults tab, select the Build Controller where the SQL Server Data Tools are installed. In my case I’m using Visual Studio Online, so I choose the Hosted Build Controller. I also choose to copy the build results to a Drops folder inside source control. Let’s move on to the Process tab.

image

On the Process tab, open up the Advanced section and paste the following line in the MSBuild Arguments field:

/t:build /t:publish /p:SqlPublishProfilePath=NorthwindDBProject.publish.xml

Replace the SqlPublishProfilePath value with the name you choose for your Publish Profile in the Database Project.

image

Save the Build definition, you are done! There are a lot of other things, you can configure, but by default, this should be enough.

Check-in and see what happens…

As a last step, do some changes inside your database project, check them into TFS, and look how your database is rolled out for you…

image

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

VS Code Planning mode

After the introduction of Plan mode in Visual Studio , it now also found its way into VS Code. Planning mode, or as I like to call it 'Hannibal mode', extends GitHub Copilot's Agent Mode capabilities to handle larger, multi-step coding tasks with a structured approach. Instead of jumping straight into code generation, Planning mode creates a detailed execution plan. If you want more details, have a look at my previous post . Putting plan mode into action VS Code takes a different approach compared to Visual Studio when using plan mode. Instead of a configuration setting that you can activate but have limited control over, planning is available as a separate chat mode/agent: I like this approach better than how Visual Studio does it as you have explicit control when plan mode is activated. Instead of immediately diving into execution, the plan agent creates a plan and asks some follow up questions: You can further edit the plan by clicking on ‘Open in Editor’: ...