The project template will appear under the SQL Server type. The order of execution during deployment follows the diagram:Īs a prerequisite, you will need to have Visual Studio 2017, SQL Server Management Studio and SQL Server 2016 or higher. Pre/Post-Deployment updates take place in 1. and 3. The StaticTables folder holds the files containing MERGE statements that define your static reference data. Once you created a project using the template it will look like the following: Install it from Visual Studio Marketplace. This is a Visual Studio 2017 template which comes with some infrastructure to allow your SSDT project to be ready for Continuous Deployment. SSDT Continuous Deployment Project Template There seems to be a huge chance for a production release to be successful after having successfully integrated it into the Dev and QA environments. A successful release = a successful successive deployment of the dacpac across all your environments :).Maintain all of your databases by deploying a new DACPAC.A build = DACPAC = your database definition.There are a couple of points which can alleviate your anxiety around the time of releasing something to production: You shouldn't think much about what you should do when the time for a release comes by. You need a repeatable processĭACPAC is the artifact produced which holds the definition of your database. Humans make mistakes! And really, I'm too scared of running manual scripts from here and there against production. So maybe a team member will compose and provide a list of scripts that should be executed against the database in a specific order before every release? The schema is just a technicality allowing us to store the data. Where does the static reference data (aka Code, Lookup, List, Taxonomy or Reference data) come from? In the end, all that matters is the information in your database and its fitness, not the schema. SSDT will generate scripts for modifying the schema to its latest definition but very often you have to think several steps ahead when it comes to the adaptation of your existing data. Find more about SSDT.īut everyone was too shy to ask about how we really do data manipulation before/after a release. I won't explain the benefits of using SSDT. There is a good toolset for retaining, managing, comparing and deploying your schema. SSDT has been doing a perfect job for getting your database schema done right. I will guide you through the process of importing your database schema into the project template and adapting it for continuous deployment. To make that job easier I made SSDT Continuous Deployment-Enabled project template for Visual Studio 2017 which was also published on Visual Studio Marketplace. TLDR: I will show you how to set up a continuous deployment process for your SSDT Projects.
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