![]() Complete the setup to work your way into the app:.When prompted to select a database, you need to click on “ I’ll add my data later": ![]() You will be asked a bunch of questions - so work your way through the initial setup wizard.Once Metabase is running, access it at You will see the welcome screen: It takes a minute for Metabase to startup, but if you run the following command you can watch the progress: docker logs -f metabase mount type=bind,source=/Users/username/metabase/plugins,destination=/plugins \ On Mac the command is: docker run -d -p 3000:3000 \ mount type=bind,source=/home/username/metabase/plugins,destination=/plugins \ On Linux, the command will look like: docker run -network host -d -p 3000:3000 \ In the following command, replace username with the correct path to your plugins folder. You must use the full path to your new plugins folder. Use the mount flag to specify the location of the plugins folder.It appears that the Docker image from Metabase does not run on the new M1 Macs, so if you are following along you will need to use a different platform, or run a local Metabase instance outside of Docker. Metabase has a nice Docker image for running Metabase locally. That’s it! You will use the plugin in the next step… Save it in the ~/metabase/plugins folder. Create a new folder to work in: mkdir -p ~/metabase/pluginsįor this tutorial we used version 0.7.5 from the Metabase ClickHouse Driver repository on GitHub. For this tutorial, you will download the driver and mount it to the Docker container. The plugin is a JAR file that needs to end up in the plugins folder of your Metabase deployment. Now that you have Metabase running, it requires a plugin to connect to ClickHouse. Download the ClickHouse plugin for Metabase # It looks like 2017 was a good year Kendrick Lamar, Post Malone, Taylor Swift and Drake.Ģ. To see the most popular songs, sort by the Streams column: SELECT * FROM spotify.songs This query displays 100 days' worth of streaming data: SELECT * FROM spotify.songs LIMIT 100 The following command shows the schema of songs: DESCRIBE spotify.songs Copy-and-paste the following query into the UI, then click the Run button (or press Ctrl/Cmd+Enter): SHOW TABLES IN spotify Let’s run a few queries to understand what the dataset looks like. Point your web browser to You should see the embedded ClickHouse Play UI: Wait about 30 seconds for the clickhouse-spotify container to startup and also for the data to get inserted into the spotify database. On all other environments, use this command: docker run -it -name clickhouse-spotify -p 9000:9000 -p 9009:9009 -p 8123:8123 -platform linux/amd64 -ulimit nofile=262144:262144 learnclickhouse/public-repo:clickhouse-spotify-21.10 On Linux, you will need to use the -network host option: docker run -it -name clickhouse-spotify -network host -p 9000:9000 -p 9009:9009 -p 8123:8123 -platform linux/amd64 -ulimit nofile=262144:262144 learnclickhouse/public-repo:clickhouse-spotify-21.10 Run the appropriate command for your environment to startup the Docker container:.We have built a Docker image that already has ClickHouse installed, along with a table that contains the Spotify data: Show instructions You will be running a couple of Docker images, so you will need Docker installed if you want to follow along.It is fairly intuitive, no SQL is needed, and the UI feels smooth and responsive. The data is already indexed for you, so the focus will be on configuring Metabase to connect to ClickHouse.Īccording to their website, Metabase brings your data to life in beautiful visualizations with an intuitive interface that makes data exploration feel like second nature - opening data up for everyone, not just analysts and developers.Īfter setting it all up, I have to agree! Metabase approaches visualizations from the concept of answering questions, instead of building charts and graphs. Overview: In this lesson, you will analyze data that has details about Spotify usage (the artists and how many daily streams of their songs occurred). Download the ClickHouse plugin for Metabase
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