@Giovanni GATTI PINHEIRO Our team has confirmed this as a known issue while using Azure File Share and are working on a design change to ensure the performance is improved. We currently do not have an ETA on this implementation, we shall update this thread as soon as we have an update.
Git integration with ML Azure Jupyterhub is very slow
JupyterLab (in ML Azure) default mounts a shared file system for all users in my workspace. The documentation recommends to "clone git repositories into our own user directory". It works, but it is extremely slow. A simple 'git status' can take up to 3 seconds to run. Committing, pushing, pulling, stashing, each can take long time to execute (matter of seconds). In a my local machine it takes the order of milliseconds. This can be very annoying, specially if one does so very frequently.
So here is my question: is there a way to fix it or is it inherently bounded to the slow mounted file system? If it can't be solved, how can I change Jupyter's mounting point (so I can point it out to a local file system)?
Thanks,
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romungi-MSFT 43,696 Reputation points Microsoft Employee
2020-08-31T10:03:21.92+00:00