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PyPI · #2066 most downloaded on PyPI
The BigQuery adapter plugin for dbt
Last release 19 days ago
15 Sep 2026
Release timing varies
gaps range from 8 days to 3 months
Some releases are documented
notes for 23 of the last 60 stable releases
2 versions withdrawn
withdrawn after publishing
8 years old
212 releases · first in 2019
Fix "list object has no element 0" in batch source freshness when no selected source is metadata-based (all declare a loaded_at_field)
MOD() arithmetic, which BigQuery cannot use as a partition filter and which tables configured with require_partition_filter=true reject outright. (#2121)One column per quarter.
Add reservation config option to the BigQuery adapter, enabling jobs to be routed to a specific BigQuery reservation at the target (profiles.yml), pro
reservation config option to the BigQuery adapter, enabling jobs to be routed to a specific BigQuery reservation at the target (profiles.yml), project (+reservation), or model level ({{ config(reservation=...) }}) (#1228)<2.0 on dbt-core to prevent pip from resolving to dbt-core 2.0 (Fusion engine), which is incompatible with the python adapter (#2013)BigQueryCatalogRelation now exposes catalog_database; when set in a v2 biglake_metastore catalog config it takes highest priority in generate_database
Add reservation config option to the BigQuery adapter, enabling jobs to be routed to a specific BigQuery reservation at the target (profiles.yml), pro
reservation config option to the BigQuery adapter, enabling jobs to be routed to a specific BigQuery reservation at the target (profiles.yml), project (+reservation), or model level ({{ config(reservation=...) }}) (#1228)<2.0 on dbt-core to prevent pip from resolving to dbt-core 2.0 (Fusion engine), which is incompatible with the python adapter (#2013)When persist_docs.columns is enabled, dbt now warns about columns defined in YAML that don't exist in the database via the validate_doc_columns helper
Add BigQuery relation naming macros to support concurrent dbt execution without relation name collisions
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Fix query retries on transient BigQuery errors (503, 500, rate limits) by wrapping query execution with retry logic and adding retry parameter to resu
…ahead of BigQuery's Legacy SQL deprecation on June 1, 2026. This may require IAM permission updates (bigquery.tables.get + bigquery.tables.list instea…
bigquery_use_standard_sql_for_partitions by default, switching partition metadata queries from Legacy SQL ($__PARTITIONS_SUMMARY__) to Standard SQL (INFORMATION_SCHEMA.PARTITIONS) ahead of BigQuery's Legacy SQL deprecation on June 1, 2026. This may require IAM permission updates (bigquery.tables.get + bigquery.tables.list instead of bigquery.tables.getData) for users with custom roles, and custom macros that access columns beyond partition_id from get_partitions_metadata() will need updating. Users can revert to Legacy SQL by setting flags.bigquery_use_standard_sql_for_partitions: false in dbt_project.yml. (#1725)bigquery_use_standard_sql_for_partitions to migrate get_partitions_metadata from Legacy SQL to Standard SQL using INFORMATION_SCHEMA.PARTITIONS (#1725)list_relations_without_caching to include function relations (#1488)Use a behavior flag to gate microbatch functionality (instead of an environment variable)
resource_tags configuration option (#565, #577)enable_change_history option for models on BigQuery. (#1206)Support BigQuery STRUCT schema change
:bug: :snowman: Support batched source freshness in bigquery using TABLE_STORAGE, behind behavior change flag.
Add support for aggregate sql functions
Fix BigFrames python model + oauth + notebook template by adding a Request to creds.refresh calll
Add support for BigQuery resource tags via resource_tags configuration option (#565, #577)
resource_tags configuration option (#565, #577)enable_change_history option for models on BigQuery. (#1206)dbt-adapters 1.10.3 - October 29, 2024
dbt-tests-adapters: Add required begin to microbatch model config to BaseMicrobatch test
enable_change_history option for models on BigQuery. (#1206)## dbt-adapters 1.10.1 - September 16, 2024
## dbt-adapters 1.10.0 - September 12, 2024
api_endpoint config option available for dbt client (#https://github.com/dbt-labs/dbt-bigquery/pull/1017)Add user agent in bigframes mode
rename 'catalog' model config value to 'catalog_name'
api_endpoint config option available for dbt client (#https://github.com/dbt-labs/dbt-bigquery/pull/1017)datetime.datetime.utcnow() is deprecated as of Python 3.12
event_time to a timestamp prior to comparing against microbatch start/end time (#1422)datetime.datetime.utcnow() is deprecated as of Python 3.12 (#980)datetime.datetime.utcnow() is deprecated as of Python 3.12
event_time to a timestamp prior to comparing against microbatch start/end time (#1422)datetime.datetime.utcnow() is deprecated as of Python 3.12 (#980)Nothing published for this version
Negate the check for microbatch behavior flag in determining builtins
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Always make behavior flags available for evaluation
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Allows unique_key for snapshots to take a list
Enable setting current value of dbt_valid_to
Allow configuring of snapshot column names
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## dbt-adapters 1.6.1 - September 16, 2024
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