On Mon, Feb 6, 2017 at 3:54 PM, <[email protected]> wrote:

> Hi,
>         We know user can create as many notebook instances as they can in
> one jupyter notebook server client, and when we want to integrate spark's
> pyspark into jupyter notebook, which means using the ipykernel, when every
> each notebook instance is created, then a pyspark shell(or to say a driver)
> is initialized, since we run that in spark client mode, so all the started
> drivers would run on same host. And when some user in crazy mode, like
> creating many many notebook instances, then many drivers would all start in
> one host, which will lead to being lack of available resource  easily.
>        So I am wondering if Jupyter notebook has some mechanism to deal
> with or avoid such kind of that issue?
>

Jupyter itself has no mechanism to deal with this. It would have to be done
at the library level - i.e. check for other instances and do one of:

- connect to running instances if possible
- refuse to start if too many are running
- etc.

-Min


>
> Many thanks in advance!
>
> Best Regards
> Sherry
>
> --
> You received this message because you are subscribed to the Google Groups
> "Project Jupyter" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to [email protected].
> To post to this group, send email to [email protected].
> To view this discussion on the web visit https://groups.google.com/d/
> msgid/jupyter/3fa00644-1ea0-419d-8bbe-3dfc0d67fe95%40googlegroups.com
> <https://groups.google.com/d/msgid/jupyter/3fa00644-1ea0-419d-8bbe-3dfc0d67fe95%40googlegroups.com?utm_medium=email&utm_source=footer>
> .
> For more options, visit https://groups.google.com/d/optout.
>

-- 
You received this message because you are subscribed to the Google Groups 
"Project Jupyter" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To post to this group, send email to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/jupyter/CAHNn8BVjEXhxHMe5S0arugaZ7W%3DPTb0rK9Vc5nkARntVOENXZg%40mail.gmail.com.
For more options, visit https://groups.google.com/d/optout.

Reply via email to