mirror of
https://github.com/jupyterhub/jupyterhub.git
synced 2025-10-15 14:03:02 +00:00

When debugging errors and outages, looking at the logs emitted by JupyterHub is very helpful. This document tries to document some common log messages, and what they mean. I currently added just one log message, but we can add more over time. Ref https://github.com/2i2c-org/infrastructure/issues/1081 where this would've been useful troubleshooting
33 lines
1.5 KiB
Markdown
33 lines
1.5 KiB
Markdown
# Common log messages emitted by JupyterHub
|
|
|
|
When debugging errors and outages, looking at the logs emitted by
|
|
JupyterHub is very helpful. This document tries to document some common
|
|
log messages, and what they mean.
|
|
|
|
## Failing suspected API request to not-running server
|
|
|
|
Your logs might be littered with lines that might look slightly scary
|
|
|
|
```
|
|
[W 2022-03-10 17:25:19.774 JupyterHub base:1349] Failing suspected API request to not-running server: /hub/user/<user-name>/api/metrics/v1
|
|
```
|
|
|
|
However, what this most likely means is that the user's server has
|
|
stopped running but they still have a browser tab open. This is
|
|
extremely common - for example, you might have 3 tabs open, and shut
|
|
your server down via one. Or you closed your laptop, your server was
|
|
culled for inactivity, and then you reopen your laptop again! The
|
|
client side code (JupyterLab, Classic Notebook, etc) does not know
|
|
yet that the server is dead, and continues to make some API requests.
|
|
JupyterHub's architecture means that the proxy routes all requests that
|
|
don't go to a running user server to the hub process itself. The hub
|
|
process then explicitly returns a failure response, so the client knows
|
|
that the server is not running anymore. This is used by JupyterLab to
|
|
tell you your server is not running anymore, and offer you the option
|
|
to let you restart it.
|
|
|
|
Most commonly, you'll see this in reference to the `/api/metrics/v1`
|
|
URL, used by [jupyter-resource-usage](https://github.com/jupyter-server/jupyter-resource-usage).
|
|
|
|
So for the most part, this log line is pretty benign!
|