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[no ci] Document notebook.pem format

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Fixes #198

(c) Copyright IBM Corp. 2016
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Peter Parente
2016-05-06 07:56:46 -04:00
parent 2bcf753a66
commit 0e9023199b
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pyspark-notebook/README.md
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@@ -117,6 +117,17 @@ You may customize the execution of the Docker container and the Notebook server
* `-v /some/host/folder/for/server.pem:/home/jovyan/.local/share/jupyter/notebook.pem` - Mounts a SSL certificate plus key for `USE_HTTPS`. Useful if you have a real certificate for the domain under which you are running the Notebook server.
* `-p 4040:4040` - Opens the port for the [Spark Monitoring and Instrumentation UI](http://spark.apache.org/docs/latest/monitoring.html). Note every new spark context that is created is put onto an incrementing port (ie. 4040, 4041, 4042, etc.), and it might be necessary to open multiple ports. `docker run -d -p 8888:8888 -p 4040:4040 -p 4041:4041 jupyter/pyspark-notebook`
## SSL Certificates
The notebook server configuration in this Docker image expects the `notebook.pem` file mentioned above to contain a base64 encoded SSL key and at least one base64 encoded SSL certificate. The file may contain additional certificates (e.g., intermediate and root certificates).
If you have your key and certificate(s) as separate files, you must concatenate them together into the single expected PEM file. Alternatively, you can build your own configuration and Docker image in which you pass the key and certificate separately.
For additional information about using SSL, see the following:
* The [docker-stacks/examples](https://github.com/jupyter/docker-stacks/tree/master/examples) for information about how to use [Let's Encrypt](https://letsencrypt.org/) certificates when you run these stacks on a publicly visible domain.
* The [jupyter_notebook_config.py](jupyter_notebook_config.py) file for how this Docker image generates a self-signed certificate.
* The [Jupyter Notebook documentation](http://jupyter-notebook.readthedocs.io/en/latest/public_server.html#using-ssl-for-encrypted-communication) for best practices about running a public notebook server in general, most of which are encoded in this image.
## Conda Environments