bigframes._config.BigQueryOptions#
- class bigframes._config.BigQueryOptions(credentials: Credentials | None = None, project: str | None = None, location: str | None = None, bq_connection: str | None = None, use_regional_endpoints: bool = False, application_name: str | None = None, kms_key_name: str | None = None, skip_bq_connection_check: bool = False, *, allow_large_results: bool = False, ordering_mode: Literal['strict', 'partial'] = 'strict', client_endpoints_override: dict | None = None, requests_transport_adapters: Sequence[Tuple[str, BaseAdapter]] = (), enable_polars_execution: bool = False)[source]#
Encapsulates configuration for working with a session.
Attributes
Checks the legacy global setting for allowing large results.
The application name to amend to the user-agent sent to Google APIs.
Name of the BigQuery connection to use in the form <PROJECT_NUMBER/PROJECT_ID>.<LOCATION>.<CONNECTION_ID>.
Option that sets the BQ client endpoints addresses directly as a dict.
The OAuth2 credentials to use for this client.
If True, will use polars to execute some simple query plans locally.
Customer managed encryption key used to control encryption of the data-at-rest in BigQuery.
Default location for job, datasets, and tables.
Controls whether total row order is always maintained for DataFrame/Series.
Google Cloud project ID to use for billing and as the default project.
Transport adapters for requests-based REST clients such as the google-cloud-bigquery package.
Forcibly use the BigQuery connection.
Flag to connect to regional API endpoints for BigQuery API and BigQuery Storage API.
Methods
__init__([credentials, project, location, ...])