- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
07-31-2022 08:43 PM
When attempting to edit the schedule cron expression on one of our jobs we receive the following error message:
Cluster validation error: Validation failed for spark_conf, spark.databricks.acl.dfAclsEnabled must be false (is "true")
The spark.databricks.acl.dfAclsEnabled property on the jobs cluster is currently set to false. Therefore the error message if misleading and there must be some other reason the update is failing.
Any change to the schedule cron expression fails with this error. E.g. changing the cron expression from 35 0 1/3 * * ? to 34 0 1/3 * * ?.
Update
We get the same error even when creating a new job. So this seems to be a major and more widespread issue.
Accepted Solutions
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
08-03-2022 05:23 PM
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
08-01-2022 03:36 PM
Hi @michael.voet michael.voet , do you, by any chance have a cluster policy attached to the job cluster? Please check if the cluster policy has any restrictions on spark_conf - spark.databricks.acl.dfAclsEnabled.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
08-01-2022 04:50 PM
Yes we do. However we tried again this morning and despite still having that restriction in place, we're no longer getting that error message. It seems like this was a temporary bug that's now been resolved.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
08-03-2022 05:23 PM
FYI this was a temporary Databricks bug. Seems to be resolved now.

