How to set the permissions to databricks jobs that created and run from Azure Data Factory(ADF)?

[dbx_8451]

I would like to set the permissions to jobs such as granting "CAN_VIEW" or "CAN_MANAGE" to specific groups that run from ADF. It appears that we need to set permissions in pipe line where job runs from ADF, But I could not figure it out.

[Debayan]

Hi, You can go to the details page for a job. Click the Edit permissions button in the Job details panel. In the pop-up dialog box, assign job permissions via the drop-down menu beside a user's name. Click Save Changes. Please refer: https://learn.microsoft.com/en-us/azure/databricks/security/auth-authz/access-control/jobs-acl

From ADF you can refer to : https://learn.microsoft.com/en-us/answers/questions/643842/set-permissions-on-new-databricks-jobs-cr...

Please tag @Debayan Mukherjee​ with your next update so that I will get notified. Thanks.

[Anonymous]

Hi @Suresh Devarakonda​ 

We haven't heard from you since the last response from @Debayan Mukherjee​ ​, and I was checking back to see if her suggestions helped you.

Or else, If you have any solution, please share it with the community, as it can be helpful to others. 

Also, Please don't forget to click on the "Select As Best" button whenever the information provided helps resolve your question.

[dbx_8451]

Thank you @Debayan Mukherjee​  and @Vidula Khanna​  for getting back to me. But, it didn't help my case. I am specifically looking for setting permissions to the job so that our team can see the job cluster including Spark UI with that privilege.

Regards

~Suresh Devarakonda