Bump dbt-sql to DBR 16.4 LTS for classic compute - #6418
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Integration test reportCommit: 16953f4
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Follow-up from #6378: - dbt-sql: bump latest_lts_dbr_version 15.4 -> 16.4 LTS for classic (non-serverless) compute, matching the default template's 16.4 pin and aligning the cluster runtime's Python version (3.12) with serverless environment version 5. - Remove the unused, TODO-flagged latest_lts_db_connect_version_spec macro from dbt-sql (flagged for removal in #6378; no references). - Add a dbt-sql-classic acceptance variant exercising the classic new_cluster path, locking in the bumped spark_version. Co-authored-by: Isaac <no-reply@databricks.com>
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Follow-up from #6378: bump the
dbt-sqlbundle template's classic (non-serverless) compute to Databricks Runtime 16.4 LTS.latest_lts_dbr_versionfrom15.4.x-scala2.12to16.4.x-scala2.12. This matches thedefaulttemplate (already pinned to 16.4) and aligns the cluster runtime's Python version (3.12) with serverless environment version 5.latest_lts_db_connect_version_specmacro (flagged for removal in Bump default serverless environment version to 5 #6378; no template references it).The unrelated dead-code removal in
default-sql/library/versions.tmplhas been split into a separate PR.Tests
acceptance/bundle/templates/dbt-sql-classicinitializes dbt-sql withserverless: noand diffs the generated job against the serverless golden, locking in the classicnew_clusterspark_version: 16.4.x-scala2.12. Before this, no acceptance test rendered the classic (non-serverless) path.dbt-sqltest's committed golden, so any change to the basedbt-sqljob template requires regenerating both goldens.This pull request and its description were written by Isaac.