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docker-superset

Repository for building Docker container of Apache Superset.

• For understanding & knowing more about Superset, please follow Official website and
• Similarly, for Docker follow curated list of resources.

Images

Image	Pulls	Tags
abhioncbr/docker-superset		tags

Superset components stack

• Enhanced/Modified version of the docker container of apache-superset.
• Superset version: Notation for representing version X.YY.ZZzzz which means either
  • 0.36.0
  • 0.35.0, 0.35.1
  • 0.34.0, 0.34.0rc1
  • latest, 0.32.0rc2
  • 0.29.0rc8, 0.29.0rc7, 0.29.0rc5, 0.29.0rc4
  • 0.28.1, 0.28.0
• Backend database: MySQL
• SqlLabs query async mode: Celery
• Task queue & query cache: Redis
• Image contains all database plugin dependencies and elastic-search

Superset ports

• superset portal port: 8088
• superset celery flower port: 5555

Silent features of the docker image

• multiple ways to start a container, i.e. either by using docker-compose or by using docker run command.
• superset all components, i.e. web application, celery worker, celery flower UI can run in the same container or in different containers.
• container first run sets required database along with examples and the Fabmanager user account with credentials username: admin & password: admin.
• superset config file i.e superset_config.py should be mounted to the container. No need to rebuild image for changing configurations.
• the default configuration uses MySQL as a Superset metadata database and Redis as a cache & celery broker.
• starting the container using docker-compose will start three containers. mysql5.7 as the database, redis3.4 as a cache & celery broker and superset container.
  • expects multiple environment variables defined in docker-compose.yml file. Default environment variables are present in file .env.
  • override default environment variables either by editing .env file or passing through commands like SUPERSET_ENV.
  • permissible value of SUPERSET_ENV can be either local or prod.
  • in local mode one celery worker and superset flask-based superset web application run.
  • in prod mode two celery workers and Gunicorn based superset web application run.
• starting container using docker run can be a used for complete distributed setup, requires database & Redis URL for startup.
  • single or multiple server(using load balancer) container can be spawned. In the server, Gunicorn based superset web application runs.
  • multiple celery workers container running on same or different machines. In worker, celery worker & flower UI runs.

How to build the image

• DockerFile uses superset-version as a build-arg, for example: 0.28.0 or 0.29.0rc4
• build image using docker build command

  docker build -t abhioncbr/docker-superset:<version-tag> --build-arg SUPERSET_VERSION=<superset-version> -f ~/docker-superset/docker-files/Dockerfile .
  

How to run using Kitmatic

• Simplest way for exploration purpose, using Kitematic(Run containers through a simple, yet powerful graphical user interface.)

  • Search abhioncbr/docker-superset Image on docker-hub

  • Start a container through Kitematic UI.

How to run using docker commands

• Through general docker commands -

  • first pull a docker-superset image from docker-hub using either

    docker pull abhioncbr/docker-superset
    

    or for specific superset version by providing version value

    docker pull abhioncbr/docker-superset:<version-tag>
    

  • Copy superset_config.py, docker-compose.yml, and .env files. I am considering directory structure like below

    docker-superset
         |_ config
         |    |_superset_config.py
         |
         |_docker-files
         |    |_docker-compose.yml
         |    |_.env
    
    

  • using docker-compose:

    • starting a superset image as a superset container in a local mode:

      cd docker-superset/docker-files/ && docker-compose up -d
      

      or for passing some different environment variables values like below

      cd docker-superset/docker-files/ && SUPERSET_ENV=local SUPERSET_VERSION=<version-tag> docker-compose up -d
      

    • starting a superset image as a superset container in a prod mode:

      cd docker-superset/docker-files/ && SUPERSET_ENV=prod SUPERSET_VERSION=<version-tag> docker-compose up -d
      

  • using docker run:

    • starting a superset image as a server container:

      cd docker-superset && docker run -p 8088:8088 -v config:/home/superset/config/ abhioncbr/docker-superset:<version-tag> cluster server <superset_metadata_db_url> <redis_url>
      

    • starting a superset image as a worker container:

       cd docker-superset && docker run -p 5555:5555 -v config:/home/superset/config/ abhioncbr/docker-superset:<version-tag> cluster worker <superset_metadata_db_url> <redis_url>
      

  

Distributed execution of superset

• As mentioned above, docker image of superset can be leveraged to run in complete distributed run
  • load-balancer in front for routing the request from the client to one server container.
  • multiple docker-superset container in server mode for serving the UI of the superset.
  • multiple docker-superset containers in worker mode for executing the SQL queries in an async mode using celery executor.
  • centralised Redis container or Redis-cluster for serving as cache layer and celery task queues for workers.
  • centralised superset metadata database.
• Image below depicts the docker-superset distributed platform:

Published Posts

• Apache Superset in the production environment
• Docker image of Apache Superset