My team has started to see long run times on cells when using the %run commands to run another notebook. The notebook that we are calling with %run only contains variable setting, defining functions, and library imports. In some cases I have seen in ...
I'm working on returning some statistics for a workflow where the date ranges can either be entered manually or when it runs on a schedule it is setting it's date ranges as a task value. I'm able to return the one's where it has been manually set usi...
I'm trying to pull some data down for table history and am needing to view the query that inserted into a table. My team owns the process so I'm able to view the current query by just viewing it but I'm also wanting to capture changes over time witho...
I have a databricks workflow where the first task is to set up task parameters for other notebooks to use later in the process. Since these are variables that are used in all of my notebooks, I have opted to assign them in a shared notebook and call ...
I'm trying to pass the elements of a tuple into a sql query using .format(). This works fine when I have multiple items in my tuple, but when using a single item in a tuple I get an error.tuple1 = (1,2,3)
tuple2 = (5,)
combo = tuple1 + tuple2
pri...
Hi @Debayan,I've tried this against multiple users and notebooks. We've also used multiple clusters one with 10.4 LTS and the other with 13.3 LTS. The issue is still happening
@Retired_mod it seems like the issue is accessing secrets in the scope. I was testing with a user that doesn't have access to the secret scope which is one of the first commands in the notebook. I would expect it to fail quickly since they don't hav...
Thank you for the reply @Retired_mod ,I don't think the issue is with the performance of the notebook that we're calling with %run. The only things in this notebook are re-usable python functions and simple variable setting (text strings, passwords, ...
Thanks for the reply. I think I'll keep digging around a little trying to find something that a user can update without having to worry if there is one value or multiple
