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/operators/bigquery.py
bq_hook = BigQueryHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.impersonation_chain,
        )
        return bq_hook.get_dataset_tables(
            dataset_id=self.dataset_id,
            project_id=self.project_id,
            max_results=self.max_results,
        )
class BigQueryPatchDatasetOperator(BaseOperator):
    """
    This operator is used to patch dataset for your Project in BigQuery.
    It only replaces fields that are provided in the submitted dataset resource.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryPatchDatasetOperator`
    :param dataset_id: The id of dataset. Don't need to provide,
        if datasetId in dataset_reference.
    :type dataset_id: str
    :param dataset_resource: Dataset resource that will be provided with request body.
        https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource