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The command fails with an error message:
AttributeError: type object 'Retry' has no attribute 'DEFAULT_METHOD_WHITELIST'.
The critical issue is that despite this error, an exception is not being raised, which results in the Azure CI/CD pipeline reporting a successful (green) status. Due to this, the error went unnoticed for one month.
Expected Behavior:
The pipeline should fail, and an exception should be raised when encountering this error.
Actual Behavior:
The pipeline does not fail and no exception is thrown despite the error, which leads to a misleading successful pipeline status.
Steps to Reproduce:
Run the following command in Azure CI/CD pipeline with Databricks CLI Python library:
Copy code
databricks workspace import_dir ./PowerBI /PowerBI
Additional Information:
Databricks CLI version: (0.17.4)
Python version: (3.10.4)
I am not sure if this is related to the configuration of the Databricks CLI or the Azure pipeline. Any help would be greatly appreciated. Thank you!
The text was updated successfully, but these errors were encountered:
When running the Databricks CLI Python library in Azure CI/CD using the following command:
`databricks workspace import_dir ./PowerBI /PowerBI
The command fails with an error message:
AttributeError: type object 'Retry' has no attribute 'DEFAULT_METHOD_WHITELIST'.
The critical issue is that despite this error, an exception is not being raised, which results in the Azure CI/CD pipeline reporting a successful (green) status. Due to this, the error went unnoticed for one month.
Expected Behavior:
The pipeline should fail, and an exception should be raised when encountering this error.
Actual Behavior:
The pipeline does not fail and no exception is thrown despite the error, which leads to a misleading successful pipeline status.
Steps to Reproduce:
Run the following command in Azure CI/CD pipeline with Databricks CLI Python library:
Copy code
databricks workspace import_dir ./PowerBI /PowerBI
Additional Information:
Databricks CLI version: (0.17.4)
Python version: (3.10.4)
I am not sure if this is related to the configuration of the Databricks CLI or the Azure pipeline. Any help would be greatly appreciated. Thank you!
The text was updated successfully, but these errors were encountered: