:mod:`airflow.contrib.operators.datastore_import_operator`
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.. py:module:: airflow.contrib.operators.datastore_import_operator


Module Contents
---------------

.. py:class:: DatastoreImportOperator(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)

   Bases: :class:`airflow.models.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

   
   .. method:: execute(self, context)