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"""This module contains Google BigQuery to BigQuery operator."""
import warnings
from typing import TYPE_CHECKING, Dict, List, Optional, Sequence, Union
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.bigquery import BigQueryHook
from airflow.providers.google.cloud.links.bigquery import BigQueryTableLink
if TYPE_CHECKING:
from airflow.utils.context import Context
[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)
:param destination_project_dataset_table: The destination BigQuery
table. Format is: ``(project:|project.)<dataset>.<table>`` (templated)
:param write_disposition: The write disposition if the table already exists.
:param create_disposition: The create disposition if the table doesn't exist.
:param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.
: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.
:param labels: a dictionary containing labels for the job/query,
passed to BigQuery
: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"
}
:param location: The location used for the operation.
: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).
"""
[docs] template_fields: Sequence[str] = (
'source_project_dataset_tables',
'destination_project_dataset_table',
'labels',
'impersonation_chain',
)
[docs] template_ext: Sequence[str] = ('.sql',)
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',
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)
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: 'Context') -> None:
self.log.info(
'Executing copy of %s into: %s',
self.source_project_dataset_tables,
self.destination_project_dataset_table,
)
hook = BigQueryHook(
gcp_conn_id=self.gcp_conn_id,
delegate_to=self.delegate_to,
location=self.location,
impersonation_chain=self.impersonation_chain,
)
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
job_id = hook.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,
)
job = hook.get_job(job_id=job_id).to_api_repr()
conf = job["configuration"]["copy"]["destinationTable"]
BigQueryTableLink.persist(
context=context,
task_instance=self,
dataset_id=conf["datasetId"],
project_id=conf["projectId"],
table_id=conf["tableId"],
)
