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Hi @data-blade ! We recommend that users on Databricks use dbt-databricks rather than dbt-spark. Would you be able to clarify why you need to use dbt-spark?
Ah I see - they have a PR open to operate on serverless job clusters that are getting released soon so I think you should take a look over there :)
That said - I am going to close this ticket for now because this is not something we are going to tackle in our near term roadmap, especially as our recommendation is for Databricks customers to use the dbt-databricks adapter.
Is this your first time submitting a feature request?
Describe the feature
setting sources in dbt-databricks works like this:
dbt-spark should support unity in the same way
Describe alternatives you've considered
in dbt-spark, using...
will run into this error.
and setting...
will fail too, since
catalog
is unexpected.the only working setting is
maybe only for us:
the above prevents the parallel use of dbt-databricks adapter (which we require), so we overcome this by
Who will this benefit?
all clients using dbt-spark adapter on databricks' unity catalog (to not use hacks anymore)
Are you interested in contributing this feature?
if time allows
Anything else?
No response
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