Posted   by 

Docker Metabase



v0.39.0.1 / Operations Guide / Running Metabase on Docker
  1. Metabase Docker-compose.yml
  2. Metabase Github
  3. Metbase
  4. Metabase Docker Github

How to View a Table in a SQL Server Database Need to know how you can view a table within a SQL server database? Using the Enterprise Manager, this can be achieved with just a few simple steps. Metabase provides an official Docker image via Dockerhub that can be used for deployments on any system that is running Docker. If you're trying to upgrade your Metabase version on Docker, check out these upgrading instructions. Launching Metabase on a new container. Docker run -d -p 3000:3000 -e 'JAVAOPTS=-Xmx2g' metabase/metabase Diagnosing memory issues causing OutOfMemoryErrors If the Metabase instance starts and runs for a significant amount of time before running out of memory, there might be an event (i.e. A large query) triggering the OutOfMemoryError. When visualization returns null (No results), then UI becomes broken ; Upgrading. You can download a.jar of the release, or get the latest on Docker.

Metabase provides an official Docker image via Dockerhub that can be used for deployments on any system that is running Docker.

If you’re trying to upgrade your Metabase version on Docker, check out these upgrading instructions.

Launching Metabase on a new container

Here’s a quick one-liner to get you off the ground (please note, we recommend further configuration for production deployments below):

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:

Mounting a mapped file storage volume

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.

Now when you launch your container we are telling Metabase to use the database file at ~/metabase-data/metabase.db instead of its default location and we are mounting that folder from our local filesystem into the container.

Docker Metabase

Getting your config back if you stopped your container

If you have previously run and configured your Metabase using the local Database and then stopped the container, your data will still be there unless you deleted the container with the docker rm command. To recover your previous configuration:

  1. Find the stopped container using the docker ps -a command.It will look something like this:

Once you have identified the stopped container with your configuration in it, save the container ID from the left most column for the next step.

  1. Use docker commit to create a new custom docker image from the stopped container containing your configuration.
  1. Run your new image using docker run to get up and running again.

    Hopefully you have your previously configured Metabase Installation back. If it’s not the one you expected try a different stopped container and do these steps again.

Using Postgres as the Metabase application database

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:

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.

Migrating from H2 to Postgres as the Metabase application database

For general information, see instructions for migrating from H2 to MySQL or Postgres.

To migrate an existing Metabase container from an H2 application database to another database container (e.g. Postgres, MySQL), there are a few considerations to keep in mind:

  • The target database container must be accessible (i.e. on an available network)
  • The target database container must be supported (e.g. MySQL, Postgres)
  • The existing H2 database should be mapped outside the running container

The migration process involves 2 main steps:

  1. Stop the existing Metabase container
  2. Run a new, temporary Metabase container to perform the migration

Using a Postgres container as the target, here’s an example invocation:

To further explain the example: in addition to specifying the target database connection details, set the MB_DB_FILE environment variable for the source H2 database location, and pass the argument load-from-h2 to begin migrating.

Setting the Java Timezone

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:

Additional custom settings

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.

In addition to the standard custom settings there are two docker specific environment variables MUID and MGID which are used to set the user and group IDs used by metabase when running in a docker container. These settings make it possible to match file permissions when files, such as the application database, are shared between the host and the container.

Here’s how to use a database file, owned by your account, that is stored in your home directory:

Now that you’ve installed Metabase, it’s time to set it up and connect it to your database.

Copying the application database

If you forgot to configure to the application database, it will be located at /metabase.db/metabase.db.mv.db in the container. You can copy this whole directory out of the container using the following command (replacing CONTAINER_ID with the actual container ID or name, metabase if you named the container):

The DB contents will be left in a directory named metabase.db.Note that some older versions of metabase stored their db in a different default location.

Fixing OutOfMemoryErrors in some hosted environments

On some hosts Metabase can fail to start with an error message like:

If that happens, you’ll need to set a JVM option to manually configure the maximum amount of memory the JVM uses for the heap. Referto these instructions for details on how to do that.

Adding external dependencies or plugins

To add external dependency JAR files such as the Oracle or Vertica JDBC drivers or 3rd-party Metabase drivers, you will need to create a plugins directory in your host system and bind it so it is available to Metabase as the path /plugins using either --mount or -v/--volume. For example, if you have a directory named /path/to/plugins on your host system, you can make its contents available to Metabase using the --mount option as follows:

Metabase Docker-compose.yml

Note that Metabase will use this directory to extract plugins bundled with the default Metabase distribution (such as drivers for various databases such as SQLite), thus it must be readable and writable by Docker.

Use Docker Secrets to hide the sensitive parameters

In order to keep your connection parameters hidden from plain sight, you can use Docker Secrets to put all parameters in files so Docker can read and load them in memory before the container is started.

This is an example of a docker-compose.yml file to start a Metabase container with secrets to connect to a PostgreSQL database. Create 2 files (db_user.txt and db_password.txt) in the same directory as this yml and fill them with any username and a secure password:

Metabase is an open-source data visualization and business intelligence tool that helps you use data to answer questions about business processes and make educated decisions. Traditionally, BI tools can cost a fortune and businesses need to pay either for expensive enterprise software licensing, employ a cadre of data scientists and data engineers, or both. Today, the value of analytics continues to grow, but the introduction of open-source software such as Metabase has lowered the barrier to entry significantly.

This guide will explain how to install Metabase locally using Docker, probably the easiest and fastest way to install it.

1. Checking if we have docker on our local machine. If you see something like Client: Version: 19.03.8 which means you have docker running if not you can follow this guide.

2. Now let’s pull a docker Metabase image.

Metabase Github

Metabase install

3. And run the image

4. If you use VirtualBox/Ubuntu (or other Linux) as your main working environment you will need to do port forwarding on port 3000.

5. That is it! Now, we can access our Metabase in your browser by calling this page, localhost:3000. You will be asked to compute a few steps to create an account and initial setup. At this step you can skip connection to the database if you don’t have any DB available, Metabase provides a sample database so you can start using the tool right away. Metabase supports the vast majority of modern SQL and NoSQL databases. The is the compute list of currently supported databases.

  • BigQuery
  • Druid
  • Google Analytics
  • H2
  • MongoDB
  • MySQL/MariaDB
  • PostgreSQL
  • Presto
  • Amazon Redshift
  • Snowflake
  • Spark SQL
  • SQLite
  • SQL Server
  • Vertica

Metbase

Metabase reminds me of Tableau but with a simpler and intuitive interface. It allows you to use SQL to slice and dice your data and visualize your query right away. There is a dashboard I was able to create after playing with the tool for not more than 30 minutes. I really like the intuitiveness of the tool and smooth transaction from SQL query to visualization that can empower users to extract valuable insights from the data.

Metabase Docker Github

And SQL interface looks very simple and clean, it allows you to access schemas of each table without running any queries like most of RDBMS.