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if kernel died because of memory, jupyter lab is stuck #4748

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karthikeyann opened this issue Jun 19, 2018 · 2 comments
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if kernel died because of memory, jupyter lab is stuck #4748

karthikeyann opened this issue Jun 19, 2018 · 2 comments
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bug pkg:application status:resolved-locked Closed issues are locked after 30 days inactivity. Please open a new issue for related discussion.
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@karthikeyann
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karthikeyann commented Jun 19, 2018

Problem:

If the kernel died in jupyter-lab, it does not show any warning or error. It is just stuck.
But when I use jupyter notebook, I get the following error properly

Kernel Restarting
The kernel appears to have died. It will restart automatically.

Jupyter lab does not give any warning or message; the cell appears to be in running state.

Method to reproduce:

Allocate very large numpy array more than the memory of the machine.

@jasongrout jasongrout added this to the Beta 4 milestone Jul 19, 2018
@blink1073 blink1073 modified the milestones: 0.34, 0.35 Aug 13, 2018
@blink1073 blink1073 modified the milestones: 0.35, 1.0 Sep 5, 2018
@jasongrout jasongrout self-assigned this Sep 26, 2018
@jasongrout
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We may need to bump this to Future to handle in the work in #4724.

@jasongrout
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Closing as a duplicate of #4273 - let's move the conversation over there.

@jasongrout jasongrout modified the milestones: 1.0, Reference Feb 27, 2019
@lock lock bot added the status:resolved-locked Closed issues are locked after 30 days inactivity. Please open a new issue for related discussion. label Aug 8, 2019
@lock lock bot locked as resolved and limited conversation to collaborators Aug 8, 2019
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