Source code for airflow.contrib.operators.bigquery_to_gcs

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"""
This module contains a Google BigQuery to GCS operator.
"""
import warnings

from airflow.contrib.hooks.bigquery_hook import BigQueryHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults


[docs]class BigQueryToCloudStorageOperator(BaseOperator): """ Transfers a BigQuery table to a Google Cloud Storage bucket. .. seealso:: For more details about these parameters: https://cloud.google.com/bigquery/docs/reference/v2/jobs :param source_project_dataset_table: 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) :type source_project_dataset_table: str :param destination_cloud_storage_uris: The destination Google Cloud Storage URI (e.g. gs://some-bucket/some-file.txt). (templated) Follows convention defined here: https://cloud.google.com/bigquery/exporting-data-from-bigquery#exportingmultiple :type destination_cloud_storage_uris: list :param compression: Type of compression to use. :type compression: str :param export_format: File format to export. :type export_format: str :param field_delimiter: The delimiter to use when extracting to a CSV. :type field_delimiter: str :param print_header: Whether to print a header for a CSV file extract. :type print_header: bool :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud Platform. :type gcp_conn_id: str :param bigquery_conn_id: (Deprecated) The connection ID used to connect to Google Cloud Platform. This parameter has been deprecated. You should pass the gcp_conn_id parameter instead. :type bigquery_conn_id: str :param delegate_to: The account to impersonate, if any. For this to work, the service account making the request must have domain-wide delegation enabled. :type delegate_to: str :param labels: a dictionary containing labels for the job/query, passed to BigQuery :type labels: dict """
[docs] template_fields = ('source_project_dataset_table', 'destination_cloud_storage_uris', 'labels')
[docs] template_ext = ()
[docs] ui_color = '#e4e6f0'
@apply_defaults def __init__(self, # pylint: disable=too-many-arguments source_project_dataset_table, destination_cloud_storage_uris, compression='NONE', export_format='CSV', field_delimiter=',', print_header=True, gcp_conn_id='google_cloud_default', bigquery_conn_id=None, delegate_to=None, labels=None, *args, **kwargs): super().__init__(*args, **kwargs) if bigquery_conn_id: warnings.warn( "The bigquery_conn_id parameter has been deprecated. You should pass " "the gcp_conn_id parameter.", DeprecationWarning, stacklevel=3) gcp_conn_id = bigquery_conn_id self.source_project_dataset_table = source_project_dataset_table self.destination_cloud_storage_uris = destination_cloud_storage_uris self.compression = compression self.export_format = export_format self.field_delimiter = field_delimiter self.print_header = print_header self.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.labels = labels
[docs] def execute(self, context): self.log.info('Executing extract of %s into: %s', self.source_project_dataset_table, self.destination_cloud_storage_uris) hook = BigQueryHook(bigquery_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to) conn = hook.get_conn() cursor = conn.cursor() cursor.run_extract( source_project_dataset_table=self.source_project_dataset_table, destination_cloud_storage_uris=self.destination_cloud_storage_uris, compression=self.compression, export_format=self.export_format, field_delimiter=self.field_delimiter, print_header=self.print_header, labels=self.labels)