langchain.document_loaders.bigquery.BigQueryLoader¶
class langchain.document_loaders.bigquery.BigQueryLoader(query: str, project: Optional[str] = None, page_content_columns: Optional[List[str]] = None, metadata_columns: Optional[List[str]] = None, credentials: Optional[Credentials] = None)[source]¶
Load from the Google Cloud Platform BigQuery.
Each document represents one row of the result. The page_content_columns
are written into the page_content of the document. The metadata_columns
are written into the metadata of the document. By default, all columns
are written into the page_content and none into the metadata.
Initialize BigQuery document loader.
Parameters
query – The query to run in BigQuery.
project – Optional. The project to run the query in.
page_content_columns – Optional. The columns to write into the page_content
of the document.
metadata_columns – Optional. The columns to write into the metadata of the
document.
credentials – google.auth.credentials.Credentials, optional
Credentials for accessing Google APIs. Use this parameter to override
default credentials, such as to use Compute Engine
(google.auth.compute_engine.Credentials) or Service Account
(google.oauth2.service_account.Credentials) credentials directly.
Methods
__init__(query[, project, ...])
Initialize BigQuery document loader.
lazy_load()
A lazy loader for Documents.
load()
Load data into Document objects.
load_and_split([text_splitter])
Load Documents and split into chunks.
__init__(query: str, project: Optional[str] = None, page_content_columns: Optional[List[str]] = None, metadata_columns: Optional[List[str]] = None, credentials: Optional[Credentials] = None)[source]¶
Initialize BigQuery document loader.
Parameters
query – The query to run in BigQuery.