Use a combination of JupyterHub and Jupyter Enterprise gateway with user
impersonation enable (suggested Kerberos)

Some more info at:
https://blog.jupyter.org/on-demand-notebooks-with-jupyterhub-jupyter-enterprise-gateway-and-kubernetes-e8e423695cbf

https://jupyter-enterprise-gateway.readthedocs.io/en/latest/ (see some
details about Kerberos on security mode)

And the following ansible script have a bunch of  roles to create a
kerberized cluster from bare os

https://github.com/lresende/ansible-spark-cluster


On Sun, Dec 23, 2018 at 11:16 AM Kevin Zhu <[email protected]>
wrote:
>
> hi,
>
> I have a AD plugin connected to my jupyterhub installation so that users
will be authenticated on jupyterhub via AD connector. The issue is if
different users submit their spark job through jupyter notebook on
jupyterhub to the shared underlying spark engine, is there a way that each
user will have their isolated spark session instead of the shared one?
>
>
> thanks very much in advance!
>
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-- 
Luciano Resende
http://twitter.com/lresende1975
http://lresende.blogspot.com/
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