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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',)
@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)