Hi <!channel>, Quick announcement here - We released a new minor version (0.14.1 package + CLI) To upgrade, simply run`dbt deps` and then

dbt run -s elementary

drop corrupt happy Here's a list of the fixes and improvements drop corrupt happy • Pydantic v2 support! Elementary now supports both Pydantic v1 and v2, so it can be used with any other service in the same python environment without issues. ◦ Thank you @Oliver Tosky, @Matthieu, and everyone else who raised this • All Elementary tests are now marked with the tag

elementary-tests

and can be excluded by using this tag. ◦ In addition, a bug that occurred when disabling elementary models in

dbt_project.yml

was fixed • Various issue fixes with alert fetching and formatting ◦ If you encountered bugs with fetching source freshness alerts please upgrade ◦ If you encountered alert formatting bugs please upgrade • Bug with cleanup macro when no anomaly tests are configured • Add

chunk_size

argument when calling insert_rows ◦ Thanks aibazhang for the contribution! • Azure cloud url issue fix by @Samir Sayah It would help us so much if you ⭐* star the project* ⭐ on Github G Do you want the full data observability experience with column level lineage up to your BI assets, automatic volume, freshness and schema detection, multi env support and much much more? ☁️ 👉 please sign up to Elementary Cloud for a free trial, or schedule a demo call !