This has turned out to be an interesting conversation. Thanks, everyone!

William, I love your pathological case. You're right, of course. I think I
am lumping all situations where you need to kill the tab as basically on
the same tier of user irritation.

On Wed, Sep 4, 2019 at 12:25 AM Pete Blois <[email protected]> wrote:

> As a maintainer of quite of bit of Colab's iframing infrastructure: it
> does a good job of isolating for security but it's not great at preventing
> the `while (true) {}` case. The reason is that if the iframe is just a
> srcdoc iframe then it shares the same thread, so a hang there will still
> hang your entire page. If the iframe is using a separate origin then with
> Chrome's OOPIF
> <https://www.chromium.org/developers/design-documents/oop-iframes>
> feature it will wedge all iframes across all tabs, in even worse ways.
> OOPIF's are still pretty new. Today, when dealing with while (true), the
> non-iframed error model is superior.
>
> I'm a strong believer in the value of the security model offered by
> iframes, but they are non-trivial to implement.
>
> try opening a notebook with 500 visible cells with output in Colab, and
>> watch things die badly, due to trying to create 500 nontrivial iframes.
>
> Yeah, there are a number of tricks... If the 500 cells were generated by
> Colab then the resulting height of the output is also written to the
> notebook file so a placeholder can be rendered instead. Then
> IntersectionObserver is used to only render the output when it becomes
> visible. This also helps minimize resize jank when loading a large
> notebook. 500 cells is still... a whole lot of cells.
>
> On Tue, Sep 3, 2019 at 1:12 PM 'Aaron Watters' via Project Jupyter <
> [email protected]> wrote:
>
>> Thanks Darian,
>>
>> I'm concerned that there is precisely one Javascript thread shared by all
>> notebook interfaces in Jupyter Lab.
>> I will try to come up with an example involving animation running in
>> multiple notebooks that causes performance degradation.
>>
>> I agree that iframes are difficult to deal with. I think the additional
>> robustness might be worth it.  Regarding your specific objections:
>>
>> 1) dropping "dead zone" -- this may be -- I don't know.  I'm personally
>> probably willing to sacrifice this use case.  I never "drop" anything into
>> a notebook myself.
>> 2) iframes can't communicate with the rest of the application -- I think
>> you could mediate communication between iframes if necessary on the server
>> side.
>>
>> Thanks for the reply and comments!  -- Aaron Watters
>>
>> On Tuesday, September 3, 2019 at 3:19:31 PM UTC-4, Afshin T. Darian wrote:
>>>
>>> Hi Aaron,
>>>
>>> Thanks for writing. If you have a test case that you can contrive to
>>> crash JupyterLab, we'd love to try to address the issue head on.
>>>
>>> But in the absence of that, here's what I surmise would happen if you
>>> did run into a notebook that causes a runaway JS thread to cause JupyterLab
>>> to become unresponsive:
>>>
>>> 1. Let's say you execute a cell and its result is that the web app
>>> becomes unresponsive.
>>> 2. Like many web apps, you would either refresh the tab or you would
>>> close it and open a new one.
>>> 3. When the new tab opens, it would restore the state of JupyterLab to
>>> the last known saved state.
>>> 4. Your broken notebook would be open and you could either close it or
>>> modify the contents of the offending cell.
>>>
>>> I think you'd basically be in the same situation you were in the classic
>>> notebook because of JupyterLab's layout/state restoration.
>>>
>>> As far as using iframes, they bring with them a lot of trouble, which
>>> makes them unsuitable for an application like JupyterLab. They become a
>>> "dead zone" in terms of drag and drop interoperability with the rest of
>>> what is on your screen. Also, they don't have programmatic access to the
>>> rest of the JupyterLab application and it makes interacting with other
>>> extensions quite difficult.
>>>
>>> Thanks again for reaching out. If you do have a test notebook you'd like
>>> us to look at, please reach out again or please file an issue
>>> https://github.com/jupyterlab/jupyterlab/issues/ so we can track it!
>>>
>>> Cheers!
>>>
>>> -Darian
>>>
>>> On Tue, Sep 3, 2019 at 8:17 PM Jason Grout <[email protected]> wrote:
>>>
>>>> Thanks for commenting on this! Do you want to open an issue on the
>>>> JupyterLab repo about this where we can discuss more in detail the
>>>> implications?
>>>>
>>>> For example, someone could write a notebook opener that would use
>>>> iframes for isolation and would work alongside everything else in jlab.
>>>> That might be a really interesting extension idea to explore.
>>>>
>>>> Thanks,
>>>>
>>>> Jason
>>>>
>>>>
>>>> On Tue, Sep 3, 2019 at 12:09 PM 'Aaron Watters' via Project Jupyter <
>>>> [email protected]> wrote:
>>>>
>>>>> I have reservations about Jupyter lab and I don't want to see "classic
>>>>> notebooks" going away primarily for the following reason:
>>>>>
>>>>> My strongest attraction to Jupyter is that it provides a platform for
>>>>> combining the Python interpreter with Javascript based tools
>>>>> and visualizations.  For that reason I want to use and develop lots of
>>>>> Javascript for use inside Jupyter.
>>>>>
>>>>> If in "classic" notebook the javascript interpreter falls in to an
>>>>> infinite loop or has a memory leak or some other performance issue...
>>>>> just close the browser tab.  Other notebooks are usually unaffected.
>>>>> Nice!
>>>>>
>>>>> If in the Jupyter lab interface  the javascript interpreter falls in
>>>>> to an infinite loop or has a memory leak or some other performance 
>>>>> issue...
>>>>> all the notebooks and other features in the Jupyter Lab interface stop
>>>>> working.  Not nice.
>>>>>
>>>>> It might be possible to make the lab interface as robust as "classic"
>>>>> if Jupyter lab embedded each notebook in an iframe with an independent web
>>>>> context.
>>>>> I'm unsure of the details of managing iframes or other implications.
>>>>>
>>>>> I think that this is the approach adopted by google colaboratory for
>>>>> example https://colab.research.google.com/notebooks/welcome.ipynb
>>>>>
>>>>> Thanks to everyone for all the great work on Jupyter related projects
>>>>> -- I just needed to get this comment off my chest.
>>>>> Please comment or correct me.
>>>>>
>>>>>    -- Aaron Watters
>>>>>
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>>>>>
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