Source code for airflow.contrib.operators.datastore_import_operator

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from airflow.contrib.hooks.datastore_hook import DatastoreHook
from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults


[docs]class DatastoreImportOperator(BaseOperator): """ Import entities from Cloud Storage to Google Cloud Datastore :param bucket: container in Cloud Storage to store data :type bucket: str :param file: path of the backup metadata file in the specified Cloud Storage bucket. It should have the extension .overall_export_metadata :type file: str :param namespace: optional namespace of the backup metadata file in the specified Cloud Storage bucket. :type namespace: str :param entity_filter: description of what data from the project is included in the export, refer to https://cloud.google.com/datastore/docs/reference/rest/Shared.Types/EntityFilter :type entity_filter: dict :param labels: client-assigned labels for cloud storage :type labels: dict :param datastore_conn_id: the name of the connection id to use :type datastore_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 polling_interval_in_seconds: number of seconds to wait before polling for execution status again :type polling_interval_in_seconds: int :param xcom_push: push operation name to xcom for reference :type xcom_push: bool """ @apply_defaults def __init__(self, bucket, file, namespace=None, entity_filter=None, labels=None, datastore_conn_id='google_cloud_default', delegate_to=None, polling_interval_in_seconds=10, xcom_push=False, *args, **kwargs): super(DatastoreImportOperator, self).__init__(*args, **kwargs) self.datastore_conn_id = datastore_conn_id self.delegate_to = delegate_to self.bucket = bucket self.file = file self.namespace = namespace self.entity_filter = entity_filter self.labels = labels self.polling_interval_in_seconds = polling_interval_in_seconds self.xcom_push = xcom_push
[docs] def execute(self, context): self.log.info('Importing data from Cloud Storage bucket %s', self.bucket) ds_hook = DatastoreHook(self.datastore_conn_id, self.delegate_to) result = ds_hook.import_from_storage_bucket(bucket=self.bucket, file=self.file, namespace=self.namespace, entity_filter=self.entity_filter, labels=self.labels) operation_name = result['name'] result = ds_hook.poll_operation_until_done(operation_name, self.polling_interval_in_seconds) state = result['metadata']['common']['state'] if state != 'SUCCESSFUL': raise AirflowException('Operation failed: result={}'.format(result)) if self.xcom_push: return result

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