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,
        )
        fields = self.fields or list(self.dataset_resource.keys())
        dataset = bq_hook.update_dataset(
            dataset_resource=self.dataset_resource,
            project_id=self.project_id,
            dataset_id=self.dataset_id,
            fields=fields,
        )
        return dataset.to_api_repr()
class BigQueryDeleteTableOperator(BaseOperator):
    """
    Deletes BigQuery tables
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryDeleteTableOperator`
    :param deletion_dataset_table: A dotted
        ``(<project>.|<project>:)<dataset>.<table>`` that indicates which table
        will be deleted. (templated)
    :type deletion_dataset_table: str
    :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.