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final class atoti_directquery_bigquery.ConnectionConfig

Config to connect to a BigQuery database.

Example

>>> from atoti_directquery_bigquery import ConnectionConfig
>>> connection_config = ConnectionConfig()
>>> external_database = session.connect_to_external_database(connection_config)

auto_multi_column_array_conversion : AutoMultiColumnArrayConversion | None = None

When not None, multi-column array conversion will be performed automatically.

cache : bool = True

Whether to look for query results in the external database query cache.

column_clustered_queries : ‘all’ | ‘feeding’ = ‘feeding’

Control which queries will use clustering columns.

credentials : Path | None = None

The path to the BigQuery credentials file. If None, the application default credentials will be used.

feeding_query_timeout : Duration = datetime.timedelta(seconds=3600)

Timeout for queries performed on the external database during feeding phases. The feeding phases are:

lookup_mode : ‘allow’ | ‘warn’ | ‘deny’ = ‘warn’

Whether lookup queries on the external database are allowed. Lookup can be very slow and expensive as the database may not enforce primary keys.

max_sub_queries : Annotated[int, Field(gt=0)] = 500

Maximum number of sub queries performed when splitting a query into multi-step queries.

query_timeout : Duration = datetime.timedelta(seconds=300)

Timeout for queries performed on the external database outside feeding phases.

time_travel : bool = True

Whether to use time travel in queries.