Comments (3)
Hi 👋
Could you please clarify:
This action outputs the run artifacts of this job
Questions:
- how would the connection to the warehouse work? I guess we would need to provide all necessary credentials in GH actions?
(but all in all that proposal makes sense to me, is anyone working on it?)
from dbt-fal.
Hello @sparrovv!
Could you please clarify:
This action outputs the run artifacts of this job
fal currently needs run_results.json
dbt artifact to decide which models to run (unless ran using --all
flag, and other flags coming soon), since the dbt run would happen in dbt-cloud environment, we do not have access to said artifact by default.
Part of the tasks the fal-ai/fal-dbt-cloud
action would get done is download said artifact and making it available for the fal run to be executed.
How would the connection to the warehouse work? I guess we would need to provide all necessary credentials in GH actions?
This is probably the case, yes. Just like dbt-cloud gets a "profile" for the connection information, we would need profile information too; and we currently use the same behavior as dbt, we read the profiles-dir
... so we may need to set it up with fal-ai/fal-dbt-cloud
to match the expected environment for fal. We still need to look into these details.
Any ideas are welcome!
By the way, @mkam039 already started working on this approach, but we are still open to comments or contributions.
from dbt-fal.
@sparrovv we just implemented this proposal and wrote a blog post on it.
As part of the implementation, we also published a new Github Action to trigger dbt Cloud runs.
Looking forward to your feedback.
Join us on Discord or the #tools-fal channel on dbt Slack.
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Related Issues (20)
- Incremental processing within a Python model HOT 2
- Case sensitive naming leads to a "When searching for a relation, dbt found an approximate match" error HOT 1
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- Upgrading dbt-core from 1.5.1 to 1.5.2+ forces downgrade of dbt-fal to 1.5.4 HOT 1
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- Support latest version of dbt-athena
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from dbt-fal.