Chapter 7. Troubleshooting common problems in Jupyter for users
If you are seeing errors in Red Hat OpenShift Data Science related to Jupyter, your notebooks, or your notebook server, read this section to understand what could be causing the problem.
If you cannot see your problem here or in the release notes, contact Red Hat Support.
7.1. I see a 403: Forbidden error when I log in to Jupyter
Problem
If your administrator has configured specialized OpenShift Data Science user groups, your user name might not be added to the default user group or the default administrator group for OpenShift Data Science.
Resolution
Contact your administrator so that they can add you to the correct group/s.
7.2. My notebook server does not start
The OpenShift Dedicated cluster that hosts your notebook server might not have access to enough resources, or the Jupyter pod may have failed.
Resolution
Check the logs in the Events section in OpenShift for error messages associated with the problem. For example:
Server requested
2021-10-28T13:31:29.830991Z [Warning] 0/7 nodes are available: 2 Insufficient memory,
2 node(s) had taint {node-role.kubernetes.io/infra: }, that the pod didn't tolerate, 3 node(s) had taint {node-role.kubernetes.io/master: },
that the pod didn't tolerate.Contact your administrator with details of any relevant error messages so that they can perform further checks.
7.3. I see a database or disk is full error or a no space left on device error when I run my notebook cells
Problem
You might have run out of storage space on your notebook server.
Resolution
Contact your administrator so that they can perform further checks.
