BigQueryIntegration Objects

class BigQueryIntegration(GraiIntegrationImplementation)

BigQuery integration.

Attributes:

• connector - The BigQuery connector

__init__

def __init__(source: SourceV1,
             version: Optional[str] = None,
             namespace: Optional[str] = None,
             project: Optional[str] = None,
             dataset: Optional[Union[str, List[str]]] = None,
             credentials: Optional[str] = None,
             log_parsing: Optional[bool] = False,
             log_parsing_window: Optional[int] = 7)

Initializes the BigQuery integration.

Arguments:

• source - The Grai data source to associate with output from the integration. More information about source objects is available in the grai_schemas library.
• version - The Grai data version to associate with output from the integration
• namespace - The Grai namespace to associate with output from the integration
• project - GCP project id
• dataset - BigQuery Dataset Id, or multiple datasets seperated by a comma (,)
• credentials - JSON credentials for service account
• log_parsing - The number of days to read logs

nodes

@cache
def nodes() -> List[SourcedNode]

Return nodes from the connector.

edges

@cache
def edges() -> List[SourcedEdge]

Return edges from the connector.

get_nodes_and_edges

def get_nodes_and_edges() -> Tuple[List[SourcedNode], List[SourcedEdge]]

Return nodes and edges from the connector.

ready

def ready() -> bool

Check if the connector is ready to be used.