Module Contents

class airflow.contrib.operators.bigquery_to_gcs.BigQueryToCloudStorageOperator(source_project_dataset_table, destination_cloud_storage_uris, compression='NONE', export_format='CSV', field_delimiter=', ', print_header=True, bigquery_conn_id='bigquery_default', delegate_to=None, labels=None, *args, **kwargs)[source]


Transfers a BigQuery table to a Google Cloud Storage bucket.

See also

For more details about these parameters:

  • source_project_dataset_table (str) – The dotted (<project>.|<project>:)<dataset>.<table> BigQuery table to use as the source data. If <project> is not included, project will be the project defined in the connection json. (templated)

  • destination_cloud_storage_uris (list) – The destination Google Cloud Storage URI (e.g. gs://some-bucket/some-file.txt). (templated) Follows convention defined here:

  • compression (str) – Type of compression to use.

  • export_format (str) – File format to export.

  • field_delimiter (str) – The delimiter to use when extracting to a CSV.

  • print_header (bool) – Whether to print a header for a CSV file extract.

  • bigquery_conn_id (str) – reference to a specific BigQuery hook.

  • delegate_to (str) – The account to impersonate, if any. For this to work, the service account making the request must have domain-wide delegation enabled.

  • labels (dict) – a dictionary containing labels for the job/query, passed to BigQuery

template_fields = ['source_project_dataset_table', 'destination_cloud_storage_uris', 'labels'][source]
template_ext = ['.sql'][source]
ui_color = #e4e6f0[source]
execute(self, context)[source]