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chore(changelog): collapse 1.12.1 into 1.12.0 (#1464)
## Summary Folds the `1.12.1 (TBD)` entry into `1.12.0` and sets the release date to **May 18, 2026** (upcoming Monday). ## Why `v1.12.0` was tagged at `75753515` but never published to PyPI: pre-release Databricks Jobs verification caught a pydantic-import regression on DBR 15.4 ([details](https://adb-6436897454825492.12.azuredatabricks.net/jobs/runs/495666598031332)). The fix landed as #1461 on `main`. Since 1.12.0 never reached production PyPI, there's no published artifact pinned to the buggy commit. Cleanest path is to collapse 1.12.1 back into 1.12.0 rather than carry a one-bullet patch release. ## Bookkeeping (done outside this PR) - The `v1.12.0` GitHub tag at `75753515` has been **deleted** — it will be re-cut on the merge commit of this PR before publishing. - test-pypi will need the existing `1.12.0` release deleted before re-uploading from the new tag.
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CHANGELOG.md

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## dbt-databricks 1.12.1 (TBD)
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### Fixes
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- Use pydantic v1-compatible API in `refresh.py` so the adapter works on environments shipping pydantic v1.
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## dbt-databricks 1.12.0 (May 14, 2026)
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## dbt-databricks 1.12.0 (May 18, 2026)
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### Features
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- Fix `metric_view` failing with `METRIC_VIEW_INVALID_VIEW_DEFINITION` when models use bare `{{ ref(...) }}` for the `source:` field ([#1361](https://github.com/databricks/dbt-databricks/issues/1361))
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- Fix `RefreshConfig.__eq__` self/other typo where two configs with the same `cron` but different `time_zone_value` compared equal
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- Fix streaming-table DROP-SCHEDULE path that was silently filtered out of the changeset
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- Use pydantic v1-compatible API in `refresh.py` so the adapter imports on environments shipping pydantic v1 ([#1461](https://github.com/databricks/dbt-databricks/pull/1461))
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### Under the Hood
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