Test the Connection From the SQL Command Line Notice that the container I will run SQL Server on is on a port whereas the data volume container has a different status “Created”, and is not exposed on a port. The volume container is hidden so you need docker ps -a Will only show you the regular container. The password requirements are: “At least 8 characters including uppercase, lowercase letters, base-10 digits and/or non-alphanumeric symbols.”. The two environment variables (accept_eula and sa_password) are required. docker run -e 'ACCEPT_EULA=Y' -e 'SA_PASSWORD=Passw0rd' -p 1433:1433 -volumes-from mssqldata -d -name sql-server microsoft/mssql-server-linux Now you can create an container where you will run SQL Server and that container will use the data volume container for the persisted data. But we won’t be running SQL Server from this instance. This volume container still uses the image as its base. Here’s the command to create it. (Don’t miss the full length of the command!) docker create -v /var/opt/mssql -name mssqldata microsoft/mssql-server-linux /bin/true So instead, we’ll create a separate container that is a “data volume container”, then we will point the container that will run SQL Server to the data volume container. This prevents us from using a volume for persistence in the simple way. However there’s an issue (which looks like the resolution is around the corner) with Docker on Mac hosting the sql-server-linux image. This is how it’s possible to use containers for databases. When another container instance is spun up, that volume provides the container with the state from the previous instance. So when one instance is shut down, the state is stored in a Volume. However, Docker has a feature called “Volumes” which are a way to retain state between docker instances. Once you delete a container, it’s all gone! If you have persisted data in that container, it, too, is all gone. Now that Docker is aware of the image, you can create a container from it - which is running instance of the image.īecause we’re on a Mac and awaiting for a “bug” to get fixed, we will actually create two containers.ĭepending on your familiarity with Docker, you may or may not be aware that containers are not stateful. Spinning Up a Container (or Two) From the Image Once it’s installed, the ‘docker images’ command will show you that the image is now available on your machine.Īlthough I just installed it today, you can see that the image I’m using - which is the latest version - was created by Microsoft 3 weeks ago. In the terminal window, you can pull and install the official image with sudo docker pull microsoft/mssql-server-linux This is what makes the whole thing so easy! Microsoft has created an official docker image with SQL Server for Linux already on it. I tried as I wanted to repeat this with a clean setup.īe sure that Docker is set to use at least 4GB of memory. Keep in mind that you can’t do this on a VM. Here is the installation link if you need to perform that step. I already have Docker for Mac installed on my MacBook. So I will share the full path of how I got this setup working. I had to go through a number of documents to do this and of course I got stuck even with those resources at my disposal. SQL Server on a Mac was the missing link in being able to fully move away from windows. On the other hand, there are those who do have that particular I’ve been doing the same. Using this for production is a totally different story and you need to do a lot more research and soul-searching before using that option. This is a great way to use SQL Server at design time. There are ways around that (I’ll show you below) but I only know enough to be dangerous here. I’m just happy to have more options at my disposal as well as have the ability to share what I am learning work beyond the world of Windows developers.Ĭontainers are not stateful. While I am sitting in front of a MacBook typing this I’m by no means working towards abandoning my Windows development or Windows machines. The most lightweight way to host SQL Server on Linux is in a Docker container. So we are no longer limited to hosting it on Windows or Azure. My latest experiment was doing a big mashup taking advantage of the fact that there is now a Linux version of SQL Server. I have an article coming in MSDN Magazine and am planning more fun as well. I’ve been having a lot of fun with the new mssql extension for Visual Studio Code.
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