dbt Core v1.12 is GA

dbt Core v1.12 is generally available, introducing framework, Semantic Layer, adapter, and usability improvements while providing an opt-in transition path toward the Rust-based dbt Core v2.0. Its new `--use-v2-parser` flag lets teams test the forthcoming Rust parser, which can be 5–10 times faster on large projects, without replacing the existing Python parser by default. New capabilities include configurable downstream behavior after upstream failures through `on_error`, a separate `vars.yml` file, ad hoc SQL execution via `dbt run-operation --sql`, and expanded UDF support including JavaScript functions on Snowflake and BigQuery, Python functions on Databricks, overloads, and Python package dependencies. The release also updates Semantic Layer definitions by nesting semantic metadata within models and columns, adds Apache Ossie document support, and delivers platform-specific enhancements for Snowflake, BigQuery, Redshift, and Databricks. Other additions include native private-package installation, simplified Iceberg configuration, composable selectors, clearer errors, and automatic pointer views for versioned models, with the release positioned as a gradual preparation step for dbt Core v2.0.

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