Forum Replies Created
-
AuthorPosts
-
January 31, 2023 at 12:22 pm in reply to: Unable to allocate resources after the updates/maintenance. #3752
@Manas – Is it possible for you to span your slice across multiple sites instead of single site and use other network services FabNet or L2STS or L2PTP?
In the meanwhile, I will discuss this within our team and share our approach forward.
January 31, 2023 at 9:46 am in reply to: Unable to allocate resources after the updates/maintenance. #3747@Manas – It looks like you are requesting: Cores=20, RAM=128GB, Disk=2000GB. Even though we may have an overall storage available to account for such a request, some of your VMs are causing the Worker to be exhausted. Specifically Disk requested cannot be served.
I was able to create this slice with Disk usage set to 500GB instead on SALT but your storage volume doesn’t exist there. Could you please try this slice with lower disk?
January 30, 2023 at 9:04 pm in reply to: Unable to allocate resources after the updates/maintenance. #3735January 30, 2023 at 9:00 pm in reply to: Unable to allocate resources after the updates/maintenance. #3733Hello,
I was debugging this and noticed that VMs requested by your slice are being mapped to capacities indicated below which seem to exhaust the worker where your request lands. The capacity mapping from requested to allocated seems strange.
I am unable to reproduce this. Could you please share your notebook?Also, could you please share the output of command:
pip3 list | grep fabric
from your environment?
We expect the following versions to be present.fabric 3.0.0 fabric-credmgr-client 1.3.2 fabric-fim 1.4.2 fabric-fss-utils 1.4.0 fabric-orchestrator-client 1.4.3 fabrictestbed 1.4.3 fabrictestbed-extensions 1.4.0
Capacity Allocations for your slice:
cluster_gatk(d8bfce5c-c721-4d41-a7fa-e8d658a40a43)
'capacities': '{ core: 2 , ram: 8 G, disk: 10 G}', ===> Requested by User 'capacity_allocations': '{ core: 16 , ram: 128 G, disk: 500 G}', ===> Allocated by Orchestrator 'capacity_hints': '{ instance_type: fabric.c16.m128.d500}'
Thanks,
Komal- This reply was modified 1 year, 11 months ago by Komal Thareja.
Could you please verify from the Portal, that project for which storage volumes were created has the Tag: Component.Storage available? Also, Please make sure you are using the same project ID in JH.
If your project does not have the tag: Component.Storage, Please raise a request to enable that for your project.
Looks like your project doesn’t have permissions for the Persistent Storage.
You would need to requestComponent.Storage
permissions and persistent storage from the Portal by going to the Contact Us tab.Thanks
KomalHi,
Could you please try to use the following notebook as indicated on
jupyter-examples-rel1.4.1/start_here.ipynb
?Persistent Storage: Connect to your project’s persisent storage volume.
Thanks,
KomalJanuary 25, 2023 at 9:42 am in reply to: Maintenance on FABRIC Infrastructure – 01/23/2023 – 01/25-2023 #3660Closing the topic
January 25, 2023 at 9:41 am in reply to: Maintenance on FABRIC Infrastructure – 01/23/2023 – 01/25-2023 #3659Maintenance is complete. UTAH and MICH sites are also available for use.
January 24, 2023 at 5:05 pm in reply to: Exception: the JSON object must be str, bytes or bytearray, not dict #3657Hello,
Could you please run the configure notebook from ‘Jupiter-examples-rel1.4.1’ directory and then try the hello world example again?
From the screenshot it looks like environment was rolled back to Release 1.3.8.
Thanks,
KomalJanuary 24, 2023 at 10:26 am in reply to: Maintenance on FABRIC Infrastructure – 01/23/2023 – 01/25-2023 #3653Update is complete. All sites except MICH and UTAH are available for use. We will share another update when MICH and UTAH are available.
NOTE: Please install/upgrade to latest version of
fabrictestbed-extensions
if you are accessing FABRIC resources from outside the JupyterHub environment.pip install fabrictestbed-extensions==1.4.0
January 19, 2023 at 9:14 pm in reply to: Maintenance on JupyterHub – 01/19/2022 (10:00 pm – 10:30pm EST) #3644Update is complete!
January 18, 2023 at 8:56 pm in reply to: Getting “(invalid_grant) invalid refresh token” error message on JupyterHub #3636This looks like an issue with the Project ID setting in
fabric_config/fabric_rc
. Could you please re-run the notebook:Configure Environment
and verify that Project ID being set is same as the Project Id in the portal?Setup Environment Configure Environment: Configure you Environment including creating the fabric_rc and ssh_config files.
- This reply was modified 2 years ago by Komal Thareja.
January 18, 2023 at 8:02 pm in reply to: Getting “(invalid_grant) invalid refresh token” error message on JupyterHub #3632Hello Nagmat,
Please Restart your Jupyter Container via File -> Hub Control Panel -> Stop My server, followed by Start My Server.
Please let us know if you still face this error.Thanks,
KomalJanuary 5, 2023 at 10:45 pm in reply to: Maintenance on JupyterHub – 01/05/2022 (10:00 pm – 10:30pm EST) #3589This maintenance is now complete.
-
AuthorPosts