bigframes.streaming.StreamingDataFrame.to_bigtable#

StreamingDataFrame.to_bigtable(*, instance: str, table: str, service_account_email: str | None = None, app_profile: str | None = None, truncate: bool = False, overwrite: bool = False, auto_create_column_families: bool = False, bigtable_options: dict | None = None, job_id: str | None = None, job_id_prefix: str | None = None, start_timestamp: int | float | str | datetime | date | None = None, end_timestamp: int | float | str | datetime | date | None = None) QueryJob#

Export the StreamingDataFrame as a continue job and returns a QueryJob object for some management functionality.

This method requires an existing bigtable preconfigured to accept the continuous query export statement. For instructions on export to bigtable, see https://cloud.google.com/bigquery/docs/export-to-bigtable.

Parameters:
Returns:

See https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob The ongoing query job can be managed using this object. For example, the job can be cancelled or its error status can be examined.

Return type:

google.cloud.bigquery.QueryJob