#jupyter

• This is the home of docker image for Jupyter on TAP.
• The final images contains pandas-cookbook example notebooks from this repository: https://github.com/jvns/pandas-cookbook

Building the image

• Pull all the submodules: git submodule update --init --recursive
• sudo docker build .
• Or if you are behind a proxy use this:
• sudo docker build --build-arg HTTP_PROXY=$http_proxy --build-arg HTTPS_PROXY=$http_proxy --build-arg NO_PROXY=$no_proxy --build-arg http_proxy=$http_proxy --build-arg https_proxy=$http_proxy --build-arg no_proxy=$no_proxy .

Run the image:

• sudo docker run -p 8900:8888 YOUR_JUPYTER_IMAGE_TAG

##Features

• PySpark, Spark Shell
• Jupyter REST API's for upload and running PySpark/SparkTK scripts
• ATK libraries
• Spark-TK libraries
• Anaconda 2.7
• TAP Help menus
• Examples notebooks from the project jupyter-default-notebooks

REST API's provided

/upload

• currently the only way to upload files to Jupyter is using the upload Form. after each attemp to upload the file(s) are loaded into a directory format like "uploads/dddd" where d is a digit.

• curl http://JUPYTER_NOTEBOOK_URL/upload -F "filearg=@/home/ashahba/frame-basics.py"

• curl http://JUPYTER_NOTEBOOK_URL/upload -F "filearg=@/home/ashahba/frame-basics.py" -F "filearg=@/home/ashahba/frame-advanced.py"

/delete

• curl http://JUPYTER_NOTEBOOK_URL/delete -d "app-path=uploads/0001"

/rename

• curl http://JUPYTER_NOTEBOOK_URL/rename -d "app-path=uploads/0001" -d "dst-path=uploads/myapp"

/spark-submit

• curl http://JUPYTER_NOTEBOOK_URL/spark-submit -d "driver-path=uploads/0001/frame-basics.py"

/logs

• curl http://JUPYTER_NOTEBOOK_URL/logs -d "app-path=uploads/0001" -d "offset=1" -d "n=100"

/status

• curl http://JUPYTER_NOTEBOOK_URL/status -d "app-path=uploads/0001"