Hi Roland,
Let explain you my case for achieving it. We have jupyterhub in an
aws instance and have different logins for different user, Sometimes we
all work on the same user and people will start working on the tasks and
in the end of the they will close the notebook without shutdown. In this
case it is consuming the most of the instance . so i am thinking of is
there anyway to kill the kernals that are running for long hours(idle
kernels). So i have seen in the jupyter notebook documentation from 5.1.0
they have introduced the killing of the kernels through config file.With
the help of documentation file i have generated the config file and made
changes as per the documentation. My current jupyter version is 5.7.1.. Can
you please let me know what changes need to be done in the config file. I
have attached the config file.
Thanks
Jafar
On Thursday, 7 February 2019 12:23:37 UTC+5:30, Roland Weber wrote:
>
> Have you checked that you're on a recent version of Jupyter Notebook?
>
> Are the kernels actually idle, or could they still be executing a
> long-running cell?
>
> Have you tried to enable debug logging, to see if the culling is actually
> attempted?
>
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