Comments (3)
Tyler, do you know what was the commit ID of the code you deployed?
In the latest Databricks run.py, line 117 is blank, which makes me think you tried some older version.
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I simply deployed whatever was available on 6/18. I dug into the databrick's jobs and it looks like a quota failure for my subscription. I'll look into cleaning up some resources or deploying to a different region.
featurization_task output:
Run result unavailable: job failed with error message
Unexpected state for cluster (job-4-run-1): Could not launch cluster due to cloud provider failures. azure_error_code: OperationNotAllowed, azure_error_message: Operation results in exceeding quota limits of Core. Maximum allowed: 100, Current in use: 99, Additional requested: 4. Please read more about quota increase at http://aka.ms/corequotaincrease.
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Provisioning in a location that allowed for more cores completed successfully. I'm closing the issue but please be aware that this issue will re-occur for other peoples deployments and it's difficult to diagnose.
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Related Issues (19)
- During deployment, databricks URL is incorrect HOT 1
- VM Provisioning - ScriptExtension failed HOT 1
- Azure Error: InvalidTemplate HOT 1
- How this AI-Predictive Maintenance workflow is working ? HOT 5
- Error in Model Training.... HOT 3
- Unable to create WorkSpace HOT 1
- Model Registration Issue HOT 1
- Cant build data-generator !!! HOT 1
- linuxDsvmTemplate deployment failed HOT 5
- Data Generator HTTP Error
- Data generator error from device: TableNotFound HOT 2
- Error when creating simulated devices HOT 1
- Issue accessing Linux DSVM HOT 2
- .
- import error HOT 1
- This repo is missing important files HOT 1
- Issue when try to deploy to azure
- Test issue 2018/06/11
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