BigQuery supports clustering for both partitioned and non-partitioned tables.

Reference: [https://cloud.google.com/bigquery/docs/clustered-tables](https://cloud.google.com/bigquery/docs/clustered-tables)
airflow/providers/google/cloud/hooks/bigquery.py
"""
        Fetch the dataset referenced by dataset_id.
        :param dataset_id: The BigQuery Dataset ID
        :type dataset_id: str
        :param project_id: The Google Cloud Project ID
        :type project_id: str
        :return: dataset_resource
            .. seealso::
                For more information, see Dataset Resource content:
                https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource
        """
        dataset = self.get_client(project_id=project_id).get_dataset(
            dataset_ref=DatasetReference(project_id, dataset_id)
        )
        self.log.info("Dataset Resource: %s", dataset)
        return dataset
    @GoogleBaseHook.fallback_to_default_project_id
    def run_grant_dataset_view_access(
        self,
        source_dataset: str,
        view_dataset: str,
        view_table: str,
        source_project: Optional[str] = None,