I'm trying to open Jupyter Notebook for some fairly heavy data analysis (pulling in datasets from hdf5 files and looking at certain aspects of them). I've done this in the past, but recently had to log out and am now getting
IOError: [Errno 122] Disk quota exceeded: u'/nethome/myname/.local/share/jupyter/runtime-nbserver-14392.json
I've already seen that if I try to look at too much from any dataset at a time or too many datasets, it kills the kernel, but now I can't even open it.
I've looked at the info at https://superuser.com/questions/1427724/jupyter-oserror-errno-122-disk-quota-exceeded, but using the solution there du --si -s $HOME shows that I only have 1.1G there, well below my allowable quota.
I also looked at Jupyter Notebook says that my disk quota is being exceeded, but I have plenty of space in my home directory, but it frankly didn't seem as helpful.
I've checked my disk usage and it seems I have a fair amount of space left.
(base) [myname@mycomputer ~]$ df -h
Filesystem Size Used Avail Use% Mounted on
devtmpfs 16G 0 16G 0% /dev
tmpfs 16G 61M 16G 1% /dev/shm
tmpfs 16G 1.6G 15G 10% /run
tmpfs 16G 0 16G 0% /sys/fs/cgroup
/dev/mapper/physvg01-slash 79G 21G 54G 28% /
/dev/sda2 976M 344M 565M 38% /boot
/dev/sda1 300M 9.9M 290M 4% /boot/efi
/dev/mapper/physvg01-var 20G 14G 4.9G 74% /var
/dev/mapper/physvg01-localdata 1.7T 1.4T 279G 84% /localdata
phys-file:/data/home/myname 12T 5.7T 5.6T 51% /nethome/myname
tmpfs 3.2G 68K 3.2G 1% /run/user/1088055
Any help is appreciated as I need to do some analysis in there as soon as possible. Thanks.
Well, it is obvious that your local machine has no more sufficient memories for this kernel. So my suggestion for you is to try some alternatives such as Google Colab, Kaggle Notebook, or GCP AI Platforms' notebook (not free if you have already signed up and run out of the free quota). I hope it works!