Source code for airflow.contrib.operators.bigquery_to_gcs

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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. See here: https://cloud.google.com/bigquery/docs/reference/v2/jobs For more details about these parameters. :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. :type source_project_dataset_table: string :param destination_cloud_storage_uris: The destination Google Cloud Storage URI (e.g. gs://some-bucket/some-file.txt). 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: string :param export_format: File format to export. :type field_delimiter: string :param field_delimiter: The delimiter to use when extracting to a CSV. :type field_delimiter: string :param print_header: Whether to print a header for a CSV file extract. :type print_header: boolean :param bigquery_conn_id: reference to a specific BigQuery hook. :type bigquery_conn_id: string :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: string """ template_fields = ('source_project_dataset_table', 'destination_cloud_storage_uris') template_ext = ('.sql',) ui_color = '#e4e6f0' @apply_defaults def __init__(self, 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, *args, **kwargs): super(BigQueryToCloudStorageOperator, self).__init__(*args, **kwargs) 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.bigquery_conn_id = bigquery_conn_id self.delegate_to = delegate_to 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.bigquery_conn_id, delegate_to=self.delegate_to) conn = hook.get_conn() cursor = conn.cursor() cursor.run_extract( self.source_project_dataset_table, self.destination_cloud_storage_uris, self.compression, self.export_format, self.field_delimiter, self.print_header)