Databricks jobs are failing with the insufficient privileges error

Chethana B S 0

When running the jobs in databrick user is getting the insufficient privilege error, but user do have all the privileges like select, read_metadata, modify, create and owner as well on the respective database.

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1 answer

PRADEEPCHEEKATLA-MSFT 77,751 Reputation points Microsoft Employee

2024-04-25T03:54:21.4333333+00:00
@Chethana B S - Thanks for the question and using MS Q&A platform.

It seems like you are facing an issue with insufficient privileges error while running jobs in Azure Databricks. Based on the error message, it looks like you do not have the required privileges to perform the action on the resource "xactoil".

To resolve this issue, you can try the following steps:

Verify that you have the correct permissions on the resource "xactoil". You can check the permissions by going to the Azure portal and navigating to the resource. Then, click on the "Access control (IAM)" tab and verify that you have the required permissions.

If you do not have the required permissions, you can ask the owner or an administrator of the resource to grant you the required permissions.

If the issue persists, you can try running the job with a different user account that has the required permissions.

Hope this helps. Do let us know if you any further queries.

If this answers your query, do click Accept Answer and Yes for was this answer helpful. And, if you have any further query do let us know.
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Chethana B S 0 Reputation points

2024-04-25T18:06:54.52+00:00

HI @PRADEEPCHEEKATLA-MSFT

Actually xactoil is databricks database/schema its not any resource on Azure portal, The job is running from the user Id and the user is part of the AD group which has all the privileges on the database/schema.

PRADEEPCHEEKATLA-MSFT 77,751 Reputation points Microsoft Employee

2024-04-26T04:03:45.2966667+00:00

@Chethana B S - Thank you for the clarification. If the user is part of the AD group that has all the privileges on the "xactoil" database/schema, then it is possible that the issue is related to the user's authentication or authorization in Azure Databricks.

To troubleshoot this issue, you can try the following steps:

Verify that the user is authenticated and authorized in Azure Databricks. You can check this by going to the Azure portal and navigating to the Azure Databricks workspace. Then, click on the "Access control (IAM)" tab and verify that the user has the required permissions.

If the user is not authenticated or authorized in Azure Databricks, you can ask the owner or an administrator of the workspace to grant the user the required permissions.

If the issue persists, you can try running the job with a different user account that has the required permissions.

You can also check the logs of the job to see if there are any specific error messages that might help identify the root cause of the issue.

I hope this helps! Let me know if you have any further questions.

Chethana B S 0 Reputation points

2024-04-26T14:47:14.9333333+00:00

Hi @PRADEEPCHEEKATLA-MSFT

The users do have workspace access.

we are facing this issue for few jobs, in one case we tried running the job from different user ID who is also part of the same AD group then it was running fine without the permission issue. And for one more job we faced the same issue and when we tried to run with different users ID who are part of the AD group that was not working for that job we were still receiving the same permission issue. and all those users have the workspace access and schema access as well.

PRADEEPCHEEKATLA-MSFT 77,751 Reputation points Microsoft Employee

2024-04-29T03:14:19.0533333+00:00

@Chethana B S - It seems like the issue is related to the user's privileges on the resource. However, it is difficult to determine the exact cause of the issue without more information. Here are a few things you can try to troubleshoot the issue:

Check if the user has the required privileges on the resource. You mentioned that the user has all the privileges like select, read_metadata, modify, create and owner as well on the respective database. However, it is possible that the user may not have the required privileges on the specific resource that the job is trying to access. You can check the resource-specific privileges by going to the resource in the Azure portal and checking the access control (IAM) settings.

Check if the user is using the correct credentials. It is possible that the user is using the wrong credentials to authenticate to the resource. Make sure that the user is using the correct credentials and that the credentials have not expired.

Check if the job is using the correct credentials. It is possible that the job is using the wrong credentials to authenticate to the resource. Make sure that the job is using the correct credentials and that the credentials have not expired.

Check if the job is using the correct resource. It is possible that the job is trying to access the wrong resource. Make sure that the job is using the correct resource and that the resource exists.

If none of the above steps help, please provide more information about the job and the resource that the job is trying to access.
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