This release carries a substantial structural change as it is the first release after moving to the new 'decoupled' dbt architecture; while today we retain a dependence on dbt-core so that users do not need to install/specify versions for both libraries, we have moved to depending on a shared abstraction layer between the adapter and dbt-core. As a result, we no longer need to match our feature version to that of dbt-core, and are free to adopt semantic versioning. No more releasing significant features like 'compute-per-model` as a patch version!
This release also brings improvements to the declaration and operation of Materialized Views and Streaming Tables, including the ability to schedule automatic refreshes.
A new feature introduced in this release is support for tags. To distinguish from dbt tags, which are metadata that is often used for selecting models in a dbt operation, these tags are named as databricks_tags in the model configuration.
Big thanks to dbt Labs for significant help during the development and testing of this release.
What's Changed
Features
- Support
on_config_changefor materialized views, expand the supported config options (536) - Support
on_config_changefor streaming tables, expand the supported config options (569) - Support insert overwrite on SQL Warehouses (623)
- Support Databricks tags at model level for tables/views/incrementals (631)