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开源软件名称:randerzander/jupyter-service开源软件地址:https://github.com/randerzander/jupyter-service开源编程语言:Python 96.2%开源软件介绍:An Ambari service for Jupyter (IPython3) Notebooks. It comes with Python2.7 and many packages for working with data in Hadoop (pydoop, scikit-learn, pandas, numpy, scipy, etc.). Warning: The Jupyter master service must be co-located on a node with the Spark Client (Jupyter Notebook depends on Spark Client libs in /usr/hdp/current/spark-client). If you want to use the R kernel, install the r-service first. This stack deploys Python 2.7.9 as an altinstall. Make sure you backup any libraries already installed in /usr/local/lib/python2.7/site-packages. To deploy, copy the entire directory into your Ambari stacks folder and restart Ambari: Note: If using the HDP 2.2 Sandbox, stop the ambari service
and add a port forwarding rule for port 9999: Stack Install Directions:
Then you can click on 'Add Service' from the 'Actions' dropdown menu in the bottom left of the Ambari dashboard. When you've completed the install process, IPython Notebook will be available at your_server_host:9999 If you want to use your own Spark build, change the spark.home setting via Ambari to a directory accessible to jupyter.user (Default is 'jupyter'). Make sure your SPARK_HOME/conf/spark-defaults.conf includes your HDP version. For example:
A 'remove.sh' script is provided in the project root for convenience. It'll remove the service package from Ambari's resources dir, remove /home/jupyter, and Python2.7 bits. Please edit remove.sh to set your Ambari login and cluster name details. Special thanks to Ali Bajwa and Ofer Mendelevitch for the help with setup and build processes. Thanks also to ddkaiser and sakserv for help with regexes. |
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