Hey team, can someone help me understand what is running in the on-run-end? Do I understand correctly that the metadata model updates do not have to run everytime I run a model? I would like to improve the running time of the on-run-end a bit. If I disable those metadata autoupload and make sure to run

dbt run --select elementary.edr.dbt_artifacts

(or even

dbt run --select elementary

after a change in the project, everything will still work as expected right?

Yes, that's correct @Julia Masche 🙂 Besides that the hooks are responsible for logging the run results and invocation, and for elementary tests saving the metrics to results tables. Also in the latest version we released we added informative logs to track the on-run-end performance and detect bottlenecks. If you are willing to run with

--vars '{debug_logs: true}'

and share the

dbt.log

it would help us improve 🙏