while importing cluster from source to target databricks workspace, I am getting ACL KeyError.

[jugalashar]

I am exporting a Standard databricks azure cluster to another Standard databricks azure cluster. I am getting the below error: Traceback (most recent call last): File "import_db.py", line 219, in main() File "import_db.py", line 97, in main cl_c.import_cluster_configs() File "/home//migrate/dbclient/ClustersClient.py", line 269, in import_cluster_configs acl_args = {'access_control_list' : self.build_acl_args(data['access_control_list'])} KeyError: 'access_control_list'

ACL_clusters.log file showed the following error: {"error_code": "INTERNAL_ERROR", "message": "FEATURE_DISABLED: ACLs for cluster are disabled or not available in this tier", "http_status_code": 500}

Is there a way to import without ACL?

[mrchristine]

Not today, we'll have to add this capability in the future.

[akdm-volastra]

Plus one on this.

@jugalashar @mrchristine any work arounds on this?

[kishoresmeda]

After 1.5yrs on this enhancement, still looking for the feature.

Any update will be helpful @gregwood-db @mrchristine

[SqrtPapere]

Any news or workaround? Neither my workspaces have ACL or the ability to set it up (not Premium SKU)

[gregwood-db]

Just out of curiosity, does skipping the WORKSPACE_ACLS and METASTORE_TABLE_ACLS tasks fix this issue? Handling the error message for FEATURE_DISABLED is easy, but handling the empty objects for ACLs down the pipeline will take a little more work. I suppose we could add a --skip-acls flag to make that easier.

[SqrtPapere]

Yes it did, I tried it a few hours ago but i wasn't sure that all went ok afterwards... looks alright now, everything is moved correctly to the new workspace.