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"""This module contains Google BigQuery to BigQuery operator."""
import warnings
from typing import Dict, List, Optional, Sequence, Union

from airflow.models import BaseOperator
from import BigQueryHook

[docs]class BigQueryToBigQueryOperator(BaseOperator): """ Copies data from one BigQuery table to another. .. seealso:: For more details about these parameters: :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 gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud. :type gcp_conn_id: str :param bigquery_conn_id: (Deprecated) The connection ID used to connect to Google Cloud. 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 using domain-wide delegation of authority, 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 :param encryption_configuration: [Optional] Custom encryption configuration (e.g., Cloud KMS keys). **Example**: :: encryption_configuration = { "kmsKeyName": "projects/testp/locations/us/keyRings/test-kr/cryptoKeys/test-key" } :type encryption_configuration: dict :param location: The location used for the operation. :type location: str :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). :type impersonation_chain: Union[str, Sequence[str]] """
[docs] template_fields = ( 'source_project_dataset_tables', 'destination_project_dataset_table', 'labels', 'impersonation_chain',
[docs] template_ext = ('.sql',)
[docs] ui_color = '#e6f0e4'
def __init__( self, *, source_project_dataset_tables: Union[List[str], str], destination_project_dataset_table: str, write_disposition: str = 'WRITE_EMPTY', create_disposition: str = 'CREATE_IF_NEEDED', gcp_conn_id: str = 'google_cloud_default', bigquery_conn_id: Optional[str] = None, delegate_to: Optional[str] = None, labels: Optional[Dict] = None, encryption_configuration: Optional[Dict] = None, location: Optional[str] = None, impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs, ) -> None: super().__init__(**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_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.gcp_conn_id = gcp_conn_id self.delegate_to = delegate_to self.labels = labels self.encryption_configuration = encryption_configuration self.location = location self.impersonation_chain = impersonation_chain
[docs] def execute(self, context) -> None: 'Executing copy of %s into: %s', self.source_project_dataset_tables, self.destination_project_dataset_table, ) hook = BigQueryHook( bigquery_conn_id=self.gcp_conn_id, delegate_to=self.delegate_to, location=self.location, impersonation_chain=self.impersonation_chain, ) 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, encryption_configuration=self.encryption_configuration,

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