SpannerDocumentSaver(
instance_id: str,
database_id: str,
table_name: str,
content_column: str = "page_content",
metadata_columns: typing.List[str] = [],
metadata_json_column: str = "langchain_metadata",
primary_key: typing.Optional[str] = None,
client: typing.Optional[google.cloud.spanner_v1.client.Client] = None,
)Save docs to Google Cloud Spanner.
Methods
SpannerDocumentSaver
SpannerDocumentSaver(
instance_id: str,
database_id: str,
table_name: str,
content_column: str = "page_content",
metadata_columns: typing.List[str] = [],
metadata_json_column: str = "langchain_metadata",
primary_key: typing.Optional[str] = None,
client: typing.Optional[google.cloud.spanner_v1.client.Client] = None,
)Initialize Spanner document saver.
add_documents
add_documents(documents: typing.List[langchain_core.documents.base.Document])Add documents to the Spanner table.
create_table
create_table(
client: google.cloud.spanner_v1.client.Client,
instance_id: str,
database_id: str,
table_name: str,
primary_key: str,
metadata_json_column: str,
content_column: str,
metadata_columns: typing.List[langchain_google_spanner.loader.Column],
)Create a new table in Spanner database.
delete
delete(documents: typing.List[langchain_core.documents.base.Document])Delete documents from the table.
init_document_table
init_document_table(
instance_id: str,
database_id: str,
table_name: str,
content_column: str = "page_content",
metadata_columns: typing.List[langchain_google_spanner.loader.Column] = [],
primary_key: str = "",
store_metadata: bool = True,
metadata_json_column: str = "langchain_metadata",
)Create a new table to store docs with a custom schema.