BigQuery

BigQuery requires the optional google-cloud-bigquery dependency:

pip install 'sqlbuild[bigquery]'
# or
uv pip install 'sqlbuild[bigquery]'

Connection config

adapter = "bigquery"
default_target = "dev"

[connections.gcp]
project = "my-gcp-project"
location = "europe-west2"

[targets.dev]
connection = "gcp"
database = "my-gcp-project"
schema = "analytics_dev"

Field	Description
project	GCP project ID (required)
location	BigQuery dataset location - a region (europe-west2, us-east1) or multi-region (US, EU)
credentials_path	Path to a service account JSON key file. If omitted, uses Application Default Credentials (ADC).

Authentication

BigQuery supports two authentication methods:

Application Default Credentials (default): Uses the credentials from gcloud auth application-default login or the environment’s service account. No config needed beyond project.

Service account file:

[connections.gcp]
project = "my-gcp-project"
credentials_path = "/path/to/service-account.json"

Typed constants

BigQuery renders typed constant arrays with bracket syntax, objects as native JSON expressions, and exact decimals as NUMERIC expressions. For example:

['GB', 'FR', 'HK']
JSON '{"GB":"Great Britain"}'
NUMERIC '2.4700'

BigQuery does not support arrays of arrays. A nested list or set requested with render_as array fails at compile time rather than producing invalid BigQuery SQL. Parenthesized value_list rendering remains available for ordinary scalar collections used with IN.

See Collections and Rendering for declarations, rendering precedence, and the cross-adapter matrix.