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Over times tooling has changed and improved. Visual Studio database projects are one of my main tools since Visual Studio 2010. All we have to do is to organize DACPAC file to Azure SQL Database deployment step and magic happens automatically. #Azure data studio database diagram updateJust add it to pipeline, fill configuration parameters and you are good to go.ĭatabase update is done based on DACPAC file built in previous section. There’s special pipeline step by Microsoft to update Azure SQL database. Updating database is first step in the release pipeline. It updates database and deploys new versions of web applications to Azure App Service. I have release pipeline that is run manually. I used File Copy task for this.Īlthough file location in drop folder is far from perfect, the DACPAC file is there and available to release pipeline. Next thing I had to do was to copy resulting DACPAC file to build artifacts drop folder. I configured it to build only schema project. So, both types of projects are together and at same time separated. On Azure DevOps I solved the problem by adding MSBuild task to build pipeline.NET Core tooling skips database project and MSBuild task skips. It doesn’t mean we cannot build database projects at all when. NET Standard 2.1.NET Core tooling today doesn’t support build database projects. But I had a problematic situation – I can’t build database project together with other projects as all other projects use. If everything is build using MSBuild then things should be easy. As a result we get DACPAC file with database structure. We can build database projects on Azure DevOps. How to build database project on Azure DevOps #Azure data studio database diagram manualThat’s nice but it’s manual work and doesn’t fit well into automated release topic. Same way we can compare schema project to production database and if needed we can update database with one button click. If we change development database we can use schema compare feature of Visual Studio to compare changes between database and schema project. It’s easy to take a look at history and see what changes and when were made to database. #Azure data studio database diagram codeWe have history of database structure changes in Github or some other source code repository. SQL Server database projects make database schema versioned. I don’t cover all steps of building Azure DevOps build and release pipelines as these topics are already covered thousands of times by different pages in internet. Blue blocks are steps in build pipeline and orange blocks are steps in release pipeline of Azure DevOps. Here’s the pipeline I’m using in one of my projects. We don’t want to update database directly from Visual Studio but using Azure DevOps release pipelines. Suppose we have solution with SQL Server database project and we want to use schema compare feature to update production database when new version of application is deployed. It’s super easy to use database projects to update staging and live databases from Azure build and release pipelines. Database projects were not easy to use with build servers ten years ago. Visual Studio database projects have been one of my important tools since Visual Studio 2010. ![]()
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