![]() Using the volume example above Docker will store the mounted volume data in its own local volume storage. Any new MySQL server container with the same volume mounted will have access to our previous data. With the addition of a volume mounted in the container as /var/lib/mysql, the directory MySQL stores database files, our data will not be persistent. docker run -d -p 3306:3306 -v /var/lib/mysql -e MYSQL_ROOT_PASSWORD=mypassword ![]() Let’s start the container with a mounted volume for our MySQL database. Unfortunately, the data is emphemral and will lose any database we create once the container is stopped. Great, you should now have a running MySQL server container accessible using root password mypassword. docker run -d -p 3306:3306 -e MYSQL_ROOT_PASSWORD=mypassword mysql/mysql-server Let’s start our server without any options. Verify the image has been pulled down by listing your available images. Pull down the latest official MySQL Server image now. Running MySQL Server 8īefore we can begin we will need the MySQL Server image. Rather than storing volume data in the container itself, where it will be lost, we can store our data on the host filesystem, for example. ![]() Docker, on the other hand, defaults to running containers in an ephemeral state - meaning data is never preserved it is lost as soon as the container stops.ĭocker provides volumes as a way to make our data persistent. Persistent Data Using VolumesĪ relational database needs its data to be persistent. To gain a better understanding managing system resources with Docker, read our post for limiting a Docker containers memory and CPU. To prevent other containers from starving your database server of crucial RAM we can grant our MySQL higher priority. Therefore, the more data you can place there the faster you can access it.Ĭhances are you are going to run your database container on a server running other containers. The reason for this is that accessing RAM is exponential faster than from any other storage available in a server. Resource Management Using LimitsĪ high performant database stores as much data in RAM as it possibly can. Learn how to deploy your MySQL Server 8 in a Docker container.
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