-d – this builds the container in the background.This will ensure any changes you make to the system dbs will be saved and any new dbs you add will also be saved, even if you remove the container, the host folder and it’s data will not go away. I’m also setting the secrets to map to the host so nothing is lost when removing the container. In this case, I’m mapping the default container data directory to a folder on my host. -v – maps a volume from the host to the container.If you leave this off, then it gets a random name. If you want to map the container to host 1433, just use 1433:1433 instead. You can also choose to map the container to the host port 1433, but I already had 1433 in use. When setting these flags, it’s always host then container, so -p hostport:containerport. -p – I’m setting the port on my host to 1434 because I’m planning to have multiple SQL Server containers, and 1434 will map back to 1433 in the container.You can follow the logs of the container by using this command: Important note: make sure you set a strong password otherwise the container will appear to be working correctly, but is not accessible and actually stuck on an error saying the password doesn’t meet requirements. -e – is accepting the license of SQL Server (EULA) and setting the SA password.docker run – standard way to start a Docker container.Let’s do a quick breakdown of what we are doing in the docker run script above: Then you will run the following code at the command line: docker run -e 'ACCEPT_EULA=Y' -e 'MSSQL_SA_PASSWORD=thisisastrongpassw0rd!' -p 1434:1433 -name sql2019u -v /Users/josephineb/Documents/Docker/sql2019u:/var/opt/mssql/data -v /Users/josephineb/Documents/Docker/sql2019u/secrets:/var/opt/mssql/secrets -d /mssql/server:2019-latest I just set up a folder structure here: /Users/josephineb/Documents/Docker/sql2019u because I’m using the latest SQL Server 2019 version on Ubuntu, but you can name your folder whatever you want. Let’s set up this SQL Server container!įirst things first, set up a folder on your local machine that you will map to your container. You will be using Terminal on Mac instead. You won’t need to use Docker from this menu. Once Docker is installed, you will see this icon in the top left of your Mac desktop screen: Installation and instructions are included on this page: So, you will need to install Docker on your local machine and have it set to use Linux containers. This article assumes you have a working knowledge of containerization and SQL Server, but may provide enough detail to get you up and running with very little knowledge on either. There’s a lot of talk about attaching databases after you recreate your Docker container, but I found that you just have to mount the volumes that SQL Server uses to hold the system and user databases to a folder on your local drive, and if you remove the container you can recreate it and mount the same local drives without losing any data or settings. It can have some loading hiccups at times, but thanks to its supportive community, there’s not a lot of issues with this program.This is a super simple way to retain the data and settings that you create and change on your SQL Server Docker instance. It has an easy-to-use interface design that requires no steep learning curve and various handy features for simple programming on most of the popular databases around. Great for anyoneĪll in all, DBeaver is a highly recommended tool for developers, database administrators, analysts, and the like. Perhaps the only downside to this software is that it can be slow to load at times and you may have to relaunch it whenever it freezes when it was supposed to refresh automatically. However, it can still look overwhelming to new users so there’s always the online documentation for it to help you out, if you need it. This tool has an intuitive and user-friendly interface to help boost productivity. Additionally, the software lets you pretty much manipulate your data like how you would with a regular spreadsheet program. You can even write various extensions thanks to its open-source framework. It provides a plugin architecture for easily editing the behavior of database-specific features, as well as different types of data editors. Some of the databases this tool can support are MySQL, PostgreSQL, SQLite, Oracle, DB2, and SQL Server, to name a few.
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