SQL Server on Linux supports mounting a folder on the Docker host to the default SQL Server data directory in a container. v C:/temp/:C:/temp/ -e attach_dbs="" microsoft/mssql-server-windows-express You can directly attach a folder that contains a database's data files and transaction log files to a SQL Server container running on Windows, as you can see in the following example:ĭocker run -d -p 1433:1433 -e sa_password=SQLpwd2017 -e ACCEPT_EULA=Y Called a bind mount, this process is also somewhat different for SQL Server containers on Windows and Linux. The other way to attach external databases is to mount a file or directory that's on the Docker host in the container. Also, databases need to be attached to containers via a docker run command. With Docker on Windows, you can only map to empty directories, and only user database files can be present in a volume. That isn't the case with Windows-based volumes. Otherwise, you can copy a database backup file to the volume and restore it, which makes the database available to the container. To add more databases, copy their data and log files to the volume and attach them to the container. In Linux, you map SQL Server's default data directory to one that Docker creates in a volume and Docker copies the system's database files into the volume. Volumes can be used with SQL Server in both Windows and Linux systems, but they work differently in the two OSes. You can then mount the volume to a container using the following command:ĭocker run -d -p 1433:1433 -e ACCEPT_EULA=Y -e MSSQL_SA_PASSWORD=SQLpwd20017 -v MSSQLDBvol:/var/opt/mssql microsoft/mssql-server-linux Interface to attach a SQL Server database to a container by restoring a backup file Volumes are the preferred method of enabling data persistence in containers, according to the online documentation for the Docker technology.įirst, use the docker volume create command to set up a volume. One is to use Docker data volumes, which reside in the Docker-managed portion of the host machine's file system. There are two ways to attach external databases to containers. The external repositories are maintained separately from the container so the databases remain in place if it's stopped and deleted. Docker lets users do so by attaching database files stored externally to a container that's running SQL Server. While that can work for development and test uses with a system like SQL Server, in production applications, you typically need to persist databases and the changes made to the data in them. Q: How can I attach external databases to SQL Server containers?ĭocker containers are stateless. If you want to run multiple SQL Server containers on the same host, you need to map them to different ports to avoid conflicts. Note that when you start a container, you have the option of mapping it to SQL Server's default port 1433 or another port that's exposed on the host. You can also use sqlcmd, SSMS or Azure Data Studio to connect to a SQL Server container from a host system that's separate from the Docker host by entering the Docker host's IP address followed by a comma and the container's TCP port mapping. You simply enter the IP address of the container, as here: Server = 172.17.0.2. To do this, you can use sqlcmd or a management tool like SSMS or Azure Data Studio. The easiest way is to run a docker exec command with the notation for the server name. You need to use the sqlcmd command-line tool to do this because Docker containers don't support a GUI. Connecting from within the container itself.You can connect to a SQL Server container to query and manage it in three ways two of them can be done with SSMS or Azure Data Studio, which was called SQL Operations Studio before Microsoft made it generally available in September 2018. Q: Can I use SQL Server Management Studio ( SSMS ) or Azure Data Studio to connect to SQL Server in a container and run queries? Here are answers to five frequently asked questions on running SQL Server in Docker containers. However, there are some things you should know about deploying SQL Server containers before you start to use them. Containers can also be used in production SQL Server applications.
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