jupyter-spark

Jupyter Notebook extension for Apache Spark integration.

Includes a progress indicator for the current Notebook cell if it invokes a Spark job. Queries the Spark UI service on the backend to get the required Spark job information.

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To view all currently running jobs, click the "show running Spark jobs" button, or press Alt+S.

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A proxied version of the Spark UI can be accessed at http://localhost:8888/spark.

Installation

To install, simply run:

pip install jupyter-spark
jupyter serverextension enable --py jupyter_spark
jupyter nbextension install --py jupyter_spark
jupyter nbextension enable --py jupyter_spark

You may also have to enable the widgetsnbextension extension if it hasn't been enabled before (check by running jupyter nbextension list):

jupyter nbextension enable --py widgetsnbextension

To double-check if the extension was correctly installed run:

jupyter nbextension list
jupyter serverextension list

Pleaes feel free to install lxml as well to improve performance of the server side communication to Spark using your favorite package manager, e.g.:

pip install lxml

For development and testing, clone the project and run from a shell in the project's root directory:

pip install -e .
jupyter serverextension enable --py jupyter_spark
jupyter nbextension install --py jupyter_spark
jupyter nbextension enable --py jupyter_spark

To uninstall the extension run:

jupyter serverextension disable --py jupyter_spark
jupyter nbextension disable --py jupyter_spark
jupyter nbextension uninstall --py jupyter_spark
pip uninstall jupyter-spark

Configuration

To change the URL of the Spark API that the job metadata is fetched from override the Spark.url config value, e.g. on the command line:

jupyter notebook --Spark.url="http://localhost:4040"

Changelog

0.3.0 (2016-07-04)

Rewrote proxy to use an async Tornado handler and HTTP client to fetch responses from Spark.
Simplified proxy processing to take Amazon EMR proxying into account
Extended test suite to cover proxy handler, too.
Removed requests as a dependency.

0.2.0 (2016-06-30)

Refactored to fix a bunch of Python packaging and code quality issues
Added test suite for Python code
Set up continuous integration: https://travis-ci.org/mozilla/jupyter-spark
Set up code coverage reports: https://codecov.io/gh/mozilla/jupyter-spark
Added ability to override Spark API URL via command line option
IMPORTANT Requires manual step to enable after running pip install (see installation docs)!

To update:
1. Run pip uninstall jupyter-spark
2. Delete spark.js from your nbextensions folder.
3. Delete any references to jupyter_spark.spark in jupyter_notebook_config.json (in your .jupyter directory)
4. Delete any references to spark in notebook.json (in .jupyter/nbconfig)
5. Follow installation instructions to reinstall

0.1.1 (2016-05-03)

Initial release with a working prototype

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