Job Upload Issues in Azure with Python Code in R-Studio

Question

Job Upload Issues in Azure with Python Code in R-Studio

Henrik Sejersen 20

Experiencing an issue when uploading jobs to Azure using Python code in R-Studio. The following error message is received:

Unable to retrieve SaS Urls for project download. Snapshot data appears to be invalid. Tip: Please resubmit the job with a new code snapshot or recreate the component for this job.

This problem occurs with all jobs being uploaded, including those that functioned correctly for months. After uploading the code, the jobs fail with this error. Attempting to upload the job as a new experiment has not resolved the issue.

santoshkc 15,325 Reputation points Microsoft External Staff Moderator

2025-06-11T14:48:27.03+00:00

Hi @Henrik Sejersen,

Following up to see if the given response was helpful. And, if you have any further query do let us know. Thank you.
Henrik Sejersen 20 Reputation points

2025-06-12T06:06:35.8766667+00:00

Hi @santoshkc ,

Thank you for your detailed explanation and suggestions regarding the Azure Machine Learning issue.

I wasn’t able to locate the .azureml folder, but your advice still helped guide me toward the solution. I resolved the issue by moving the file to a folder with fewer files and deleting all hidden CSV files. After that, everything worked as expected.

I truly appreciate your input—it was instrumental in finding the solution. Thank you!
santoshkc 15,325 Reputation points Microsoft External Staff Moderator

2025-06-12T13:07:39.6233333+00:00

Hi @Henrik Sejersen,

I'm glad to hear that my response was helpful to you. And thanks for sharing the information, which might be beneficial to other community members reading this thread as solution. Since the Microsoft Q&A community has a policy that "The question author cannot accept their own answer. They can only accept answers by others ", so I'll convert the previous response to an answer in case you'd like to accept the answer. This will help other users who may have a similar query find the solution more easily. If you have any further questions or concerns, please don't hesitate to ask. We're always here to help.

Accepted answer

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santoshkc 15,325 Reputation points Microsoft External Staff Moderator

2025-06-11T14:48:27.03+00:00

Hi @Henrik Sejersen,

Following up to see if the given response was helpful. And, if you have any further query do let us know. Thank you.
Henrik Sejersen 20 Reputation points

2025-06-12T06:06:35.8766667+00:00

Hi @santoshkc ,

Thank you for your detailed explanation and suggestions regarding the Azure Machine Learning issue.

I wasn’t able to locate the .azureml folder, but your advice still helped guide me toward the solution. I resolved the issue by moving the file to a folder with fewer files and deleting all hidden CSV files. After that, everything worked as expected.

I truly appreciate your input—it was instrumental in finding the solution. Thank you!
santoshkc 15,325 Reputation points Microsoft External Staff Moderator

2025-06-12T13:07:39.6233333+00:00

Hi @Henrik Sejersen,

I'm glad to hear that my response was helpful to you. And thanks for sharing the information, which might be beneficial to other community members reading this thread as solution. Since the Microsoft Q&A community has a policy that "The question author cannot accept their own answer. They can only accept answers by others ", so I'll convert the previous response to an answer in case you'd like to accept the answer. This will help other users who may have a similar query find the solution more easily. If you have any further questions or concerns, please don't hesitate to ask. We're always here to help.

Answer 1

Hi @Henrik Sejersen,

You're encountering a common Azure Machine Learning issue where job uploads fail with the error: "Unable to retrieve SaS Urls for project download. Snapshot data appears to be invalid."

This usually means the code snapshot is either corrupted or expired. To resolve this, try deleting the .azureml folder and resubmitting the job to generate a fresh snapshot. If you're using custom components, recreate and re-register them.

Also, ensure your workspace has valid access to the underlying storage and that any SAS tokens used haven’t expired. Updating the Azure ML SDK to the latest version can also help. If the issue persists, consider testing in a new workspace.

I hope you understand! Thank you.

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Job Upload Issues in Azure with Python Code in R-Studio

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