Source code for airflow.providers.google.cloud.hooks.bigquery_dts

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"""This module contains a BigQuery Hook."""
from copy import copy
from typing import Optional, Sequence, Tuple, Union

from google.api_core.retry import Retry
from google.cloud.bigquery_datatransfer_v1 import DataTransferServiceClient
from google.cloud.bigquery_datatransfer_v1.types import (
    StartManualTransferRunsResponse,
    TransferConfig,
    TransferRun,
)
from googleapiclient.discovery import Resource

from airflow.providers.google.common.hooks.base_google import GoogleBaseHook


[docs]def get_object_id(obj: dict) -> str: """Returns unique id of the object.""" return obj["name"].rpartition("/")[-1]
[docs]class BiqQueryDataTransferServiceHook(GoogleBaseHook): """ Hook for Google Bigquery Transfer API. All the methods in the hook where ``project_id`` is used must be called with keyword arguments rather than positional. """
[docs] _conn = None # type: Optional[Resource]
def __init__( self, gcp_conn_id: str = "google_cloud_default", delegate_to: Optional[str] = None, impersonation_chain: Optional[Union[str, Sequence[str]]] = None, ) -> None: super().__init__( gcp_conn_id=gcp_conn_id, delegate_to=delegate_to, impersonation_chain=impersonation_chain, ) @staticmethod
[docs] def _disable_auto_scheduling(config: Union[dict, TransferConfig]) -> TransferConfig: """ In the case of Airflow, the customer needs to create a transfer config with the automatic scheduling disabled (UI, CLI or an Airflow operator) and then trigger a transfer run using a specialized Airflow operator that will call start_manual_transfer_runs. :param config: Data transfer configuration to create. :type config: Union[dict, google.cloud.bigquery_datatransfer_v1.types.TransferConfig] """ config = TransferConfig.to_dict(config) if isinstance(config, TransferConfig) else config new_config = copy(config) schedule_options = new_config.get("schedule_options") if schedule_options: disable_auto_scheduling = schedule_options.get("disable_auto_scheduling", None) if disable_auto_scheduling is None: schedule_options["disable_auto_scheduling"] = True else: new_config["schedule_options"] = {"disable_auto_scheduling": True} # HACK: TransferConfig.to_dict returns invalid representation # See: https://github.com/googleapis/python-bigquery-datatransfer/issues/90 if isinstance(new_config.get('user_id'), str): new_config['user_id'] = int(new_config['user_id']) return TransferConfig(**new_config)
[docs] def get_conn(self) -> DataTransferServiceClient: """ Retrieves connection to Google Bigquery. :return: Google Bigquery API client :rtype: google.cloud.bigquery_datatransfer_v1.DataTransferServiceClient """ if not self._conn: self._conn = DataTransferServiceClient( credentials=self._get_credentials(), client_info=self.client_info ) return self._conn
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_transfer_config( self, transfer_config: Union[dict, TransferConfig], project_id: str, authorization_code: Optional[str] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> TransferConfig: """ Creates a new data transfer configuration. :param transfer_config: Data transfer configuration to create. :type transfer_config: Union[dict, google.cloud.bigquery_datatransfer_v1.types.TransferConfig] :param project_id: The BigQuery project id where the transfer configuration should be created. If set to None or missing, the default project_id from the Google Cloud connection is used. :type project_id: str :param authorization_code: authorization code to use with this transfer configuration. This is required if new credentials are needed. :type authorization_code: Optional[str] :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :type retry: Optional[google.api_core.retry.Retry] :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt. :type timeout: Optional[float] :param metadata: Additional metadata that is provided to the method. :type metadata: Optional[Sequence[Tuple[str, str]]] :return: A ``google.cloud.bigquery_datatransfer_v1.types.TransferConfig`` instance. """ client = self.get_conn() parent = f"projects/{project_id}" return client.create_transfer_config( request={ 'parent': parent, 'transfer_config': self._disable_auto_scheduling(transfer_config), 'authorization_code': authorization_code, }, retry=retry, timeout=timeout, metadata=metadata or (),
) @GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_transfer_config( self, transfer_config_id: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> None: """ Deletes transfer configuration. :param transfer_config_id: Id of transfer config to be used. :type transfer_config_id: str :param project_id: The BigQuery project id where the transfer configuration should be created. If set to None or missing, the default project_id from the Google Cloud connection is used. :type project_id: str :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :type retry: Optional[google.api_core.retry.Retry] :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt. :type timeout: Optional[float] :param metadata: Additional metadata that is provided to the method. :type metadata: Optional[Sequence[Tuple[str, str]]] :return: None """ client = self.get_conn() name = f"projects/{project_id}/transferConfigs/{transfer_config_id}" return client.delete_transfer_config( request={'name': name}, retry=retry, timeout=timeout, metadata=metadata or ()
) @GoogleBaseHook.fallback_to_default_project_id
[docs] def start_manual_transfer_runs( self, transfer_config_id: str, project_id: str, requested_time_range: Optional[dict] = None, requested_run_time: Optional[dict] = None, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> StartManualTransferRunsResponse: """ Start manual transfer runs to be executed now with schedule_time equal to current time. The transfer runs can be created for a time range where the run_time is between start_time (inclusive) and end_time (exclusive), or for a specific run_time. :param transfer_config_id: Id of transfer config to be used. :type transfer_config_id: str :param requested_time_range: Time range for the transfer runs that should be started. If a dict is provided, it must be of the same form as the protobuf message `~google.cloud.bigquery_datatransfer_v1.types.TimeRange` :type requested_time_range: Union[dict, ~google.cloud.bigquery_datatransfer_v1.types.TimeRange] :param requested_run_time: Specific run_time for a transfer run to be started. The requested_run_time must not be in the future. If a dict is provided, it must be of the same form as the protobuf message `~google.cloud.bigquery_datatransfer_v1.types.Timestamp` :type requested_run_time: Union[dict, ~google.cloud.bigquery_datatransfer_v1.types.Timestamp] :param project_id: The BigQuery project id where the transfer configuration should be created. If set to None or missing, the default project_id from the Google Cloud connection is used. :type project_id: str :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :type retry: Optional[google.api_core.retry.Retry] :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt. :type timeout: Optional[float] :param metadata: Additional metadata that is provided to the method. :type metadata: Optional[Sequence[Tuple[str, str]]] :return: An ``google.cloud.bigquery_datatransfer_v1.types.StartManualTransferRunsResponse`` instance. """ client = self.get_conn() parent = f"projects/{project_id}/transferConfigs/{transfer_config_id}" return client.start_manual_transfer_runs( request={ 'parent': parent, 'requested_time_range': requested_time_range, 'requested_run_time': requested_run_time, }, retry=retry, timeout=timeout, metadata=metadata or (),
) @GoogleBaseHook.fallback_to_default_project_id
[docs] def get_transfer_run( self, run_id: str, transfer_config_id: str, project_id: str, retry: Optional[Retry] = None, timeout: Optional[float] = None, metadata: Optional[Sequence[Tuple[str, str]]] = None, ) -> TransferRun: """ Returns information about the particular transfer run. :param run_id: ID of the transfer run. :type run_id: str :param transfer_config_id: ID of transfer config to be used. :type transfer_config_id: str :param project_id: The BigQuery project id where the transfer configuration should be created. If set to None or missing, the default project_id from the Google Cloud connection is used. :type project_id: str :param retry: A retry object used to retry requests. If `None` is specified, requests will not be retried. :type retry: Optional[google.api_core.retry.Retry] :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt. :type timeout: Optional[float] :param metadata: Additional metadata that is provided to the method. :type metadata: Optional[Sequence[Tuple[str, str]]] :return: An ``google.cloud.bigquery_datatransfer_v1.types.TransferRun`` instance. """ client = self.get_conn() name = f"projects/{project_id}/transferConfigs/{transfer_config_id}/runs/{run_id}" return client.get_transfer_run( request={'name': name}, retry=retry, timeout=timeout, metadata=metadata or ()
)

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