tree: 7962e5c992b941a029da478b32a0ef149c80ce3f [path history] [tgz]
  1. .env
  2. README.md
  3. docker-bootstrap.sh
  4. docker-entrypoint.sh
  5. docker-frontend.sh
  6. docker-init.sh
  7. frontend-mem-nag.sh
  8. pythonpath_dev/
docker/README.md

Getting Started with Superset using Docker

Docker is an easy way to get started with Superset.

Prerequisites

  1. Docker! link
  2. Docker-compose link

Configuration

The /app/pythonpath folder is mounted from ./docker/pythonpath_dev which contains a base configuration ./docker/pythonpath_dev/superset_config.py intended for use with local development.

Local overrides

In order to override configuration settings locally, simply make a copy of ./docker/pythonpath_dev/superset_config_local.example into ./docker/pythonpath_dev/superset_config_docker.py (git ignored) and fill in your overrides.

Local packages

If you want to add python packages in order to test things like DBs locally, you can simply add a local requirements.txt (./docker/requirements-local.txt) and rebuild your docker stack.

Steps: 1. Create ./docker/requirements-local.txt 2. Add your new packages 3. Rebuild docker-compose a. docker-compose down -v b. docker-compose up

Initializing Database

The DB will initialize itself upon startup via the init container (superset-init) (This may take a minute.)

Normal Operation

To run the container, simply run:

docker-compose up

After several minutes for superset initialization to finish, you can open a browser and view http://localhost:8088 to start your journey.

Developing

While running, the container server will reload on modification of the superset python and javascript source code. Don't forget to reload the page to take the new frontend into account though.

Production

It is also possible to run Superset in non-development mode: in the docker-compose.yml file remove the volumes needed for development and change the variable SUPERSET_ENV to production.

Resource Constraints

If you are attempting to build on a Mac and it exits with 137 you need to increase your docker resources. OSX instructions: https://docs.docker.com/docker-for-mac/#advanced (Search for memory)