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
self,
        *,
        dataset_id: str,
        dataset_resource: dict,
        project_id: Optional[str] = None,
        gcp_conn_id: str = 'google_cloud_default',
        delegate_to: Optional[str] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        warnings.warn(
            "This operator is deprecated. Please use BigQueryUpdateDatasetOperator.",
            DeprecationWarning,
            stacklevel=3,
        )
        self.dataset_id = dataset_id
        self.project_id = project_id
        self.gcp_conn_id = gcp_conn_id
        self.dataset_resource = dataset_resource
        self.delegate_to = delegate_to
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)
    def execute(self, context):