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Use Dask instead of multiprocessing module #530

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@andrii-i andrii-i commented Jun 21, 2024

Use Dask instead of multiprocessing module

@andrii-i andrii-i added the enhancement New feature or request label Jun 21, 2024
@andrii-i andrii-i force-pushed the dask branch 6 times, most recently from 027c090 to ece6ccc Compare June 21, 2024 23:56
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Kicking CI

@andrii-i andrii-i closed this Jun 22, 2024
@andrii-i andrii-i reopened this Jun 22, 2024
@andrii-i andrii-i force-pushed the dask branch 3 times, most recently from 12993c1 to d753850 Compare June 25, 2024 01:40
@andrii-i andrii-i marked this pull request as ready for review June 25, 2024 15:54
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Generally looking good, just a couple of small non-blocking comments.

conftest.py Outdated Show resolved Hide resolved
"""
Placeholder method for a cleanup code to run when the server is stopping.
"""
pass
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Do we need to keep this method if it does nothing?

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@andrii-i andrii-i Jun 26, 2024

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Yes. BaseScheduler is a base class / klass for schedulers, essentially an interface for all schedulers instantiated and used by SchedulerApp. BaseScheduler.stop_extension creates a placeholder for scheduler cleanup / stop_extension logic that is called from SchedulerApp.stop_extension.
SchedulerApp.stop_extension is a public method inherited from ExtensionApp called by Jupyter Server when the server is stopping.

I implemented stop_extension in default Scheduler in Scheduler.stop_extension to correctly terminate Dask and avoid JupyterLab process not shutting down immediately on interrupt as for example we've seen in Jupyter AI.

@andrii-i andrii-i force-pushed the dask branch 2 times, most recently from 12dc364 to 768753f Compare June 26, 2024 00:47
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3 participants