#Azure data studio schema compare install
#Azure data studio schema compare code

Publish to new Azure SQL server local development container (Preview).Publish to an existing Azure SQL server.In projects targeting Azure SQL Database, the options for publish appear as: Publish to new SQL server local development container.In projects targeting SQL Server, the options for publish appear as: To publish a database project to a local container, in the Database Projects view right-click the database project's root node and select Publish. Publish the SQL project and deploy to a local ContainerĪfter a project is successfully compiled through the build process, the database can be published to a new development instance of SQL Server in a local container. In the Publish Database dialog that appears, specify a server connection and the database name to be created. To publish a database project, in the Database Projects view right-click the database project's root node and select Publish. Platform compatibility is determined by the target platform of a SQL project, and includes SQL Server and Azure SQL options. This functionality is available in Azure Data Studio and VS Code, however the interfaces are slightly different between the two applications.Īfter a project is successfully compiled through the build process, the database can be published to a SQL instance. exited with code: 0 Publish a Database Project Publish to an existing SQL instance A successful build concludes with the message: The output pane automatically appears with the output from the build process. In the Database Projects view, right-click the database project's root node and select Build.

#Azure data studio schema compare install

Install and configure SQL Database Projects extension for Azure Data Studio or VS Code.

The project can be deployed to a local or cloud environment with the publish process.

#Azure data studio schema compare code

The build process in the SQL Database Projects extension for Azure Data Studio and VS Code allows for dacpac creation in Windows, macOS, and Linux environments.