![]() Here the instructions are for connecting to postgresql (which is running on your host machine) from Superset (which is running in its docker container). Fortunately, docker provides an easy way to access network resources in the host machine from inside a container, and we will leverage this capability to connect to our local database instance. Therefore attempts to connect to your local database with hostname localhost won't work as localhost refers to the docker container Superset is running in, and not your actual host machine. When running Superset using docker or docker-compose it runs in its own docker container, as if the Superset was running in a separate machine entirely. Connecting Superset to your local database instance The loading process can sometimes take a few minutes and a good amount of CPU, so you may want to disable it on a resource-constrained device.ĥ. These examples are helpful for learning and testing out Superset but unnecessary for experienced users and production deployments. One important variable is SUPERSET_LOAD_EXAMPLES which determines whether the superset_init container will populate example data and visualizations into the metadata database. These environment files set the environment for most containers in the Docker Compose setup, and some variables affect multiple containers and others only single ones. ![]() You can configure the Docker Compose environment varirables for dev and non-dev mode with docker/.env and docker/.env-non-dev respectively. You can install additional python packages and apply config overrides by following the steps mentioned in docker/README.md The following is for users who want to configure how Superset runs in Docker Compose otherwise, you can skip to the next section. If you would like to run superset in dev mode to test local changes, simply replace the previous command with: docker-compose up,Īnd wait for the superset_node container to finish building the assets. Note: This will bring up superset in a non-dev mode, changes to the codebase will not be reflected. This output slows, you should have a running instance of Superset on your local machine! ToĪvoid the wall of text on future runs, add the -d option to the end of the docker-compose up command. You should see a wall of logging output from the containers being launched on your machine. To avoid risking data loss, either use a managed database for your metadata (recommended) or perform your own regular backups by extractingĪnd storing the contents of the default PostgreSQL database from its volume (here's an The default installation with docker-compose will store that data in a PostgreSQL database contained in a Docker volume, In production, this database should be backed up. Clone Superset's GitHub repository Ĭlone Superset's repo in your terminal with theĪll of the content belonging to a Superset instance - charts, dashboards, users, etc. Docker Desktop recently added support for Windows Subsystem for Linux (WSL) 2, which may be another option. Provisioning a hard drive of at least 40GB, so that there will be enough space for both the OS andĪll of the required dependencies. We recommend assigning at least 8GB of RAM to the virtual machine as well as VirtualBox and proceed with the Docker on Linux instructions inside Try out Superset locally is to install an Ubuntu Desktop VM via Superset is not officially supported on Windows unfortunately. Part of the base Docker installation on Linux, once you have a working engine, follow theĭocker-compose installation instructions for Linux. Because docker-compose is not installed as Instructions for whichever flavor of Linux suits you. Install Docker on Linux by following Docker’s "Resources" section and increase the allocated memory to 6GB. Once you have Docker for Mac installed, open up the preferences pane for Docker, go to the Install Docker for Mac, which includes the DockerĮngine and a recent version of docker-compose out of the box. ![]() Install a Docker Engine and Docker Compose Superset does not have official support for Windows, so we have provided a VM workaroundīelow. The fastest way to try Superset locally is using Docker and Docker Compose on a Linux or Mac OSXĬomputer. Installing Superset Locally Using Docker Compose
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