Regular Expressions (regex) (Databricks)
You can add regular expressions (regex) to AutoActions templates when you narrow the scope of User and Workspace with Only or Except. You must first select the scope (User or Workspace) and only specify the regular expressions in the Transform box. Ensure to always select a scope before you specify the regex.
In the following example, regex is used to define the user scope.
{"enabled":true,"admin":true,"policy_name":"AutoAction2","policy_id":10,"instance_id":"3955285931312492702","name_by_user":"Long Running Databricks Job with Include owner","description_by_user":"Long Running Databricks Job with include owner email","created_by":"admin","last_edited_by":"admin","created_at":1664884043240,"updated_at":1664884043240,"rules":[{"OR":[{"scope":"Databricks jobs","metric":"totalDuration","compare":">=","value":5000},{"scope":"Databricks jobs","metric":"cost","compare":">=","value":1}]}],"actions":[],"cluster_mode":0,"cluster_list":[],"cluster_transform":"","queue_mode":0,"queue_list":[],"queue_transform":"","user_mode":2,"user_list":["vlad","sandip"],"user_transform":"regex/^.*[.](.+)[.](.+)$/$2/","app_mode":1,"app_list":[],"app_transform":"","sustain_mode":0,"sustain_time":0,"time_mode":0}
Note
Keyword regex is mandatory. regex keyword is similar to substitute s in regular expressions.