Metabase provides an official Docker image via Dockerhub that can be used for deployments on any system that is running Docker.
Here’s a quick one-liner to get you off the ground:
docker run -d -p 3000:3000 --name metabase metabase/metabase
This will launch a Metabase server on port 3000 by default. You can use docker logs -f metabase
to follow the rest of the initialization progress. Once the Metabase startup completes you can access the app at localhost:3000
Since Docker containers have their own ports and we just map them to the system ports as needed it’s easy to move Metabase onto a different system port if you wish. For example running Metabase on port 12345:
docker run -d -p 12345:3000 --name metabase metabase/metabase
In its default configuration Metabase uses the local filesystem to run an H2 embedded database to store its own application data. The end result is that your Metabase application data will be on disk inside your container and lost if you ever remove the container.
To persist your data outside of the container and make it available for use between container launches we can mount a local file path inside our container.
docker run -d -p 3000:3000 -v /tmp:/tmp -e "MB_DB_FILE=/tmp/metabase.db" --name metabase metabase/metabase
Now when you launch your container we are telling Metabase to use the database file at /tmp/metabase.db
instead of its default location and we are mounting that folder from our local filesystem into the container.
If you are ready to completely move off the H2 embedded database for running Metabase and prefer to use Postgres we’ve got that covered too.
In this scenario all you need to do is make sure you launch Metabase with the correct environment variables containing your Postgres database connection details and you’re all set. For example:
docker run -d -p 3000:3000 \
-e "MB_DB_TYPE=postgres" \
-e "MB_DB_DBNAME=metabase" \
-e "MB_DB_PORT=5432" \
-e "MB_DB_USER=<username>" \
-e "MB_DB_PASS=<password>" \
-e "MB_DB_HOST=my-database-host" \
--name metabase metabase/metabase
Keep in mind that Metabase will be connecting from within your docker container, so make sure that either you’re using a fully qualified hostname or that you’ve set a proper entry in your container’s /etc/hosts file
.
It’s best to set your Java timezone to match the timezone you’d like all your reports to come in. You can do this by simply specifying the JAVA_TIMEZONE
environment variable which is picked up by the Metabase launch script. For example:
docker run -d -p 3000:3000 \
-e "JAVA_TIMEZONE=US/Pacific" \
--name metabase metabase/metabase
While running Metabase on docker you can use any of the custom settings from Customizing the Metabase Jetty Webserver by setting environment variables on your docker run command.
Now that you’ve installed Metabase, it’s time to set it up and connect it to your database.