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,
        project_id: Optional[str] = None,
        delete_contents: bool = False,
        gcp_conn_id: str = 'google_cloud_default',
        bigquery_conn_id: Optional[str] = None,
        delegate_to: Optional[str] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        if bigquery_conn_id:
            warnings.warn(
                "The bigquery_conn_id parameter has been deprecated. You should pass "
                "the gcp_conn_id parameter.",
                DeprecationWarning,
                stacklevel=3,
            )
            gcp_conn_id = bigquery_conn_id
        self.dataset_id = dataset_id
        self.project_id = project_id
        self.delete_contents = delete_contents
        self.gcp_conn_id = gcp_conn_id
        self.delegate_to = delegate_to
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)
    def execute(self, context) -> None: