dbt-labs/dbt-bigquery v1.0.0 on GitHub

dbt BigQuery 1.0.0

Add optional scopes profile configuration argument to reduce the BigQuery OAuth scopes down to the minimal set needed. (#23, #63)
Rework _dbt_max_partition logic in dynamic insert_overwrite incremental strategy. Make the default logic compatible with on_schema_change, and make it possible to disable or reimplement that logic by defining a custom macro declare_dbt_max_partition (#17, #39, #41)

Don't apply require_partition_filter to temporary tables, thereby fixing insert_overwrite strategy when partition filter is required (#64), (#65)
Fix problem with bytes processed return None value when the service account used to connect DBT in bigquery had a row policy access.
(#47, #48)
When on_schema_change is set, pass common columns as dest_columns in incremental merge macros (#4144)
Reimplement the unique test to handle column expressions and naming overlaps (#33, #35, #10)
Avoid error in dbt deps + dbt clean if default project is missing (#27, #40)

Adding execution_project to target object (#66)
Capping google-api-core to version 1.31.3 due to protobuf dependency conflict (#53)
Bump google-cloud-core and google-api-core upper bounds to <3, thereby removing <1.31.3 limit on the latter. Remove explicit dependency on six (#57)
Remove official support for python 3.6, which is reaching end of life on December 23, 2021 (dbt-core#4134, #59)
Add support for structured logging #55
Replace sample_profiles.yml with profile_template.yml, for use with new dbt init (#43)
Initial adapter split out