atoti_directquery_bigquery.ConnectionConfig#
- 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.
- 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:
the initial load to feed
aggregate_providers
andhierarchies
;the refresh operations.
- 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.