The tutorial for downloading, starting it in pseudo-distributed mode, running a map-reduce job, etc. is presented in the running-hadoop.ipynb. For a better visualization of the notebook please see the running-hadoop.ipynb via nbviewer.
Table of contents
- Launching this repository on a binderhub instance now
- Launching this repository locally using repo2docker
binderhub instance nowLaunching this repository on a
The list below provides the badges and the hyperlinks for launching Jupyter/Jupyter Lab in one of the binderhub instances.
The command below launches a container on port
8888. It also creates a Docker volume that maps the user's home into the container (the
Before running it, make sure your local user is in the
docker group. Please refer to this Docker documentation for more details. It is strongly advised to not to run the container as root.
Please also be aware that the
--ip 0.0.0.0 directive will start a sever which will accept connections from any ip. For security purposes the
--NotebookApp.token='dstoken1234567' directive forces the need of a token for accessing any interface. Use the
dstoken1234567 to login or feel free to set a stronger token.
repo2docker -p 8888:8888 \ -v $(echo ~):$(echo ~)/local-home \ https://github.com/thedatasociety/binderhub-hadoop \ jupyter lab --ip 0.0.0.0 --NotebookApp.token='dstoken1234567'
Each interface will be available at a specific path, as follows: