Update job permissions for multiple users

Use the job permissions API to update permissions for multiple users.

Written by Atanu.Sarkar

Last published at: May 17th, 2022

When you are running jobs, you might want to update user permissions for multiple users.

You can do this by using the Databricks job permissions API (AWS | Azure | GCP) and a bit of Python code.


  1. Copy the example code into a notebook.
  2. Enter the <job-id> (or multiple job ids) into the array arr[].
  3. Enter your payload{}. In this example, we are using the <username> and <permission> that we want to grant.
  4. Enter the <workspace-url> into the url field.
  5. Enter the <token> under Bearer.
  6. Run the notebook cell with the updated code.

If the update is successful, the code returns a response of 200 (OK).

Example code


import requests
import json

for j in arr :
  def requestcall():
      payload = {"access_control_list": [{"user_name": "<username>","permission_level": "<permission>"}]}
      myResponse = requests.patch(url=url, headers={'Authorization': 'Bearer <token>'}, verify=True, data=json.dumps(payload))
        # If the API call is successful, the response code is 200 (OK).
      if myResponse.ok:
            # Extracting data in JSON format.
       data = myResponse.json()
       return data

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