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As documented in the README, memory usage only includes RSS. But it would be very helpful for swap space used by Jupyter kernels to be included in this metric.
I recently noticed very high memory and swap usage on my machine, mainly due to Jupyter notebooks, even though the "Memory:" display in Jupyterhub was reporting a much smaller number. This was because much of the Jupyer kernel memory had been swapped. In this scenario, killing kernels can free significant amounts of memory (i.e. swap) while the memory display in Jupyterhub remains static.
Proposed Solution
jupyter-resource-usage should account for all memory usage. I don't know exactly what is needed to make this happen, but I'm happy to help.
The text was updated successfully, but these errors were encountered:
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Problem
As documented in the README, memory usage only includes RSS. But it would be very helpful for swap space used by Jupyter kernels to be included in this metric.
I recently noticed very high memory and swap usage on my machine, mainly due to Jupyter notebooks, even though the "Memory:" display in Jupyterhub was reporting a much smaller number. This was because much of the Jupyer kernel memory had been swapped. In this scenario, killing kernels can free significant amounts of memory (i.e. swap) while the memory display in Jupyterhub remains static.
Proposed Solution
jupyter-resource-usage
should account for all memory usage. I don't know exactly what is needed to make this happen, but I'm happy to help.The text was updated successfully, but these errors were encountered: