v1.11.6
Summary
This release enables concurrent microbatch execution and adds an optimize() call to snapshot materializations. It also fixes issues with quoting catalog names, streaming table alter SQL, missing optimize() calls for table v2, column-level tags for V1 tables, and constraint enforcement.
Summary generated by brickster.ai. For the full changelog and any code/binary attachments, follow the GitHub link above.
More from databricks/dbt-databricks
This release adds support for metric views, row filters, Python UDFs, and key-only Databricks tags. A breaking change alters how `databricks_tags` merge across different hierarchy levels.
This release adds the dbt invocation ID to default query comments and enforces the 255-character identifier length limit for Databricks relations. It also fixes several issues, including spurious warnings for MicrobatchConcurrency and insert_overwrite, and ensures materialized views refresh correctly when Databricks tags are set.
This release adds support for Notebook-scoped packages when submitting commands or running notebook jobs. It also includes fixes for workflow job creation, duplicate aliases in empty mode, and insert-by-name for microbatch and replace_where strategies.
This release introduces row filter functionality and support for metric views.