Source code for airflow.contrib.operators.bigquery_to_bigquery

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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 BigQueryToBigQueryOperator(BaseOperator): """ Copies data from one BigQuery table to another. .. seealso:: For more details about these parameters: https://cloud.google.com/bigquery/docs/reference/v2/jobs#configuration.copy :param source_project_dataset_tables: One or more dotted ``(project:|project.)<dataset>.<table>`` BigQuery tables to use as the source data. If ``<project>`` is not included, project will be the project defined in the connection json. Use a list if there are multiple source tables. (templated) :type source_project_dataset_tables: list|string :param destination_project_dataset_table: The destination BigQuery table. Format is: ``(project:|project.)<dataset>.<table>`` (templated) :type destination_project_dataset_table: str :param write_disposition: The write disposition if the table already exists. :type write_disposition: str :param create_disposition: The create disposition if the table doesn't exist. :type create_disposition: str :param bigquery_conn_id: reference to a specific BigQuery hook. :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_tables', 'destination_project_dataset_table', 'labels')
[docs] template_ext = ('.sql',)
[docs] ui_color = '#e6f0e4'
@apply_defaults def __init__(self, source_project_dataset_tables, destination_project_dataset_table, write_disposition='WRITE_EMPTY', create_disposition='CREATE_IF_NEEDED', bigquery_conn_id='bigquery_default', delegate_to=None, labels=None, *args, **kwargs): super(BigQueryToBigQueryOperator, self).__init__(*args, **kwargs) self.source_project_dataset_tables = source_project_dataset_tables self.destination_project_dataset_table = destination_project_dataset_table self.write_disposition = write_disposition self.create_disposition = create_disposition self.bigquery_conn_id = bigquery_conn_id self.delegate_to = delegate_to self.labels = labels
[docs] def execute(self, context): self.log.info( 'Executing copy of %s into: %s', self.source_project_dataset_tables, self.destination_project_dataset_table ) hook = BigQueryHook(bigquery_conn_id=self.bigquery_conn_id, delegate_to=self.delegate_to) conn = hook.get_conn() cursor = conn.cursor() cursor.run_copy( source_project_dataset_tables=self.source_project_dataset_tables, destination_project_dataset_table=self.destination_project_dataset_table, write_disposition=self.write_disposition, create_disposition=self.create_disposition, labels=self.labels)