Azure Data Tables: Batch processing throwing ResourceNotFound on aio libraries

[verikono]

• azure.data.tables.aio (azure-data-tables):
• 12.0.0b4:
• Linux/Ubuntu:
• 3.8:

Describe the bug
Batch processing fails throwing a ResourceNotFoundError

To Reproduce

1. run the attached unittest. Python version seems to be unimportant but i have not tried in 3.9.

Expected behavior
3 rows should appear in the target datatable

test_ms.zip

[annatisch]

Thanks for the report @verikono! We'll investigate ASAP :)
@seankane-msft - could you please take a look?

[seankane-msft]

Thanks for reporting this @verikono ! Currently, the batch operations cannot be done with SAS credentials. I am working on a fix for this, in the meantime if you need a work around you can use authentication with a key and batching operations should work fine. I will update this issue with more information.

[seankane-msft]

Good news update, I was able to get a solution to your problem with #17133 . In short you'll need to wrap the token with AzureSasCredential class and that should solve your problem. This release will go out Tuesday morning and be available for download from pypi. Let me know if you have any further questions!

[verikono]

Thanks Sean!

My manager will be thoroughly amazed that we got a response and solution so fast - thank you so much for your effort ! :)

[seankane-msft]

@verikono The latest preview release of the azure-data-tables library was released to pypi yesterday. You can install with pip install --pre azure-data-tables and you will have support for the AzureSasCredential. If you have any further questions please open an issue and feel free to tag me in it.

[verikono]

Thanks @seankane-msft !