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manics
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Bug description
Hi Folks! I am trying to spawn single-user notebook on Kubernetes cluster using kubespawner . I am able to login using LDAP authenticator and I can see corresponding Kubernetes instance has been created in Kubernetes cluster. But service is not able to respond. I tried with increasing http_timeout and start_timeout but no luck yet and hoping to get some advice what might have gone wrong.
I have seen similar post and tried with all the suggestion, but nothing seems to be working so far.
Any help would be greatly appreciated.
Expected behaviour
Once login is successful, process should start the server and user should be able to see notebook
Actual behaviour
Spawn failed : Server at xxxxx didn't responded in 60 second
How to reproduce
Run jupyterhub with below config Config: import logging
c.JupyterHub.log_level = logging.DEBUG c.KubeSpawner.debug = True c.SwarmSpawner.debug = True c.NotebookApp.allow_root=True
import os import socket
c.JupyterHub.spawner_class = 'kubespawner.KubeSpawner'
c.Spawner.cmd = ['start.sh', 'jupyter', 'labhub']
c.JupyterHub.ip = str('0.0.0.0') c.JupyterHub.hub_ip = str('127.0.0.1') c.JupyterHub.cleanup_servers = False c.KubeSpawner.start_timeout = int(3600) c.Spawner.http_timeout = int(60) c.JupyterHub.tornado_settings = {'slow_spawn_timeout': 30}
if os.environ.get("CI"): c.JupyterHub.hub_connect_ip = "127.0.0.1" else: s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.connect(("8.8.8.8", 80)) host_ip = s.getsockname()[0] s.close()
c.KubeSpawner.image = str('xxxxx/bdp-jupyter-rc:7') c.KubeSpawner.service_account = str('xxxxxx') c.KubeSpawner.image_pull_policy = str('IfNotPresent')
c.JupyterHub.authenticator_class = 'ldapauthenticator.LDAPAuthenticator' c.KubeSpawner.storage_pvc_ensure = False c.JupyterHub.allow_named_servers = True c.KubeSpawner.profile_list = [ { 'display_name': 'BDP Sandbox', 'default': True, 'kubespawner_override': { 'image': 'xxxxx/xxxxx/bdp-jupyter-rc:7', 'cpu_limit': 1, 'mem_limit': '512M', } } ]
Your personal set up
Full environment
``` # paste output of `pip freeze` or `conda list` here ```Configuration
```python # jupyterhub_config.py ```Logs
``` # paste relevant logs here, if any ``` **Error :**