This is an issue even I am facing in my project currently. By running the
spark interpreter in Scoped + Per Note mode, I do manage to execute
paragraphs in parallel, but it becomes very resource intensive and times
out if I run more than 3-4 jobs in parallel on a 4-core cloud instance.
Typically a Thrift Transport exception is thrown after a prolonged period
of inactivity,

On Fri, 9 Nov 2018 at 06:54, Jeff Zhang <zjf...@gmail.com> wrote:

> Which version do you use ? This seems a bug. Each note should have its own
> scheduler in scoped per note mode.
>
> <tecgi...@yahoo.com.invalid>于2018年11月9日周五 上午1:56写道:
>
> > Hi
> >
> > We use zeppelin in multi-user environment, the interpreter scope mode
> > seems to allow notebook execution in serial only. If multiple users are
> > running their notebooks concurrently, these notebooks are queued for
> serial
> > execution. If one notebook takes a long time to complete, it basically
> > blocks other notebooks from execution. To enable parallel notebook
> > execution, it seems we need to use the isolated mode, which creates a new
> > interpreter instance (run on separate JVM) per user. But this can become
> > expensive (compute resource intensive). what is the suggested interpreter
> > mode for multi-user environment?
> >
> > Thanks
> > Denny
> >
>


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