![]() There are no post-deployment scripts in this SQL project, so the tables are all empty. You can run a simple container without any Docker volumes, and that gives you a disposable database container: docker container run `Ĭonnect to the database container from a SQL client and you'll see the Nerd Dinner schema deployed - the custom tables for dinners and RSVPs, and the ASP.NET membership tables: That lets you run the database in different ways, to support different scenarios. if files do exist, it attaches the existing database and upgrades it to the model in the Dacpac.if no files exist, it deploys a new database using the model in the Dacpac.checks if any database and log files (.That runs when the container starts and it does this: The Dockerfile is simple, and the smart stuff happens in the PowerShell script. The approach here is similar to Docker's SQL Server lab, which you can follow along for a more detailed look. Initialize-Database.ps1 -sa_password $env:sa_password -data_path $env:data_path -VerboseĬOPY -from=builder C:\docker\. The second stage configures the custom database image, setting default environment variables and copying in the Dacpac and a PowerShell deployment script: FROM microsoft/mssql-server-windows-express:2016-sp1ĬMD powershell. When this stage completes, it generates a Dacpac which contains a model for deploying the schema, and all the SQL scripts in the project. p:SQLDBExtensionsRefPath="C:\.6\lib\net40" ` NET, MSBuild and the SSDT deployment packages already installed, then it just builds the SQL project: FROM sixeyed/msbuild:netfx-4.5.2-ssdt AS builder The builder stage starts with a Docker image with. The Dockerfile uses multi-stage builds to compile the SQL project and package the schema. I use SQL Server Data Tools ( SSDT) to define the schema in a SQL project. This week's image deploys a custom database schema on top of Microsoft's SQL Server Express Docker image. Running databases in containers becomes much more useful when you package your own database schema, which is what this week's Dockerfile is all about. Sqlectron also lists the databases on the server - it shows the standard master, model, msdb and tempdb databases from a clean SQL Server install. That shows SQL Server is running on Windows Server version 10: Then you can run a query to see the host info: SELECT host_platform, host_distribution, host_release You can use SQL Server Management Studio, Visual Studio, VS Code or any other SQL Server client to connect in the same way. So the client connects to the VM on port 1433, and Docker directs traffic into the SQL container. The server address I'm using is for the Windows Server 2016 VM I use for running Windows containers on my Mac. Sqlectron is a nice, lean SQL client which you can use to connect to the container: Publishing port 1433 with the -p flag means you can connect to the database container from a remote client, just like any other database server. Using the -name flag means any containers in the same Docker network can access the database using sql-db as the server name in the connection string. The environment flags in the run command set the admin account password, and accept the SQL Server EULA. That starts a SQL Server container running, which you can access from other Docker containers and from remote clients. Microsoft/mssql-server-windows-express:2017-GA So if you want to try out the GA release of SQL Server 2017, you can start Docker for Windows and run a database container: docker container run ` The Microsoft images give you a clean, fresh install of SQL Server. You can also run SQL Server 2017 in Docker on Linux, which is a supported configuration for production deployments. Microsoft provide Docker images for SQL Server 20 on Windows - for both Developer Edition and Express Edition. You don't need any version of SQL Server installed on your machine - you only need Docker. You can run SQL Server in Docker, running your own database in a container which starts in seconds. ![]() ![]() ![]() ![]() This is #16 in the series, where I'll look at packaging a custom SQL Server database schema into a portable Docker image. Perfect for a year-long blog series.Įach week I'll look at one Dockerfile in detail, showing you what it does and how it works. There are 52 Dockerfiles in the source code for my book, Docker on Windows. ![]()
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