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
self,
        gcp_conn_id: str = 'google_cloud_default',
        delegate_to: Optional[str] = None,
        use_legacy_sql: bool = True,
        location: Optional[str] = None,
        bigquery_conn_id: Optional[str] = None,
        api_resource_configs: Optional[Dict] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
    ) -> 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=2,
            )
            gcp_conn_id = bigquery_conn_id
        super().__init__(
            gcp_conn_id=gcp_conn_id,
            delegate_to=delegate_to,
            impersonation_chain=impersonation_chain,
        )
        self.use_legacy_sql = use_legacy_sql
        self.location = location
        self.running_job_id = None  
        self.api_resource_configs = api_resource_configs if api_resource_configs else {}  
    def get_conn(self) -> "BigQueryConnection":