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
destination_dataset_table: Optional[str] = None,
        write_disposition: str = 'WRITE_EMPTY',
        allow_large_results: Optional[bool] = False,
        flatten_results: Optional[bool] = None,
        gcp_conn_id: str = 'google_cloud_default',
        bigquery_conn_id: Optional[str] = None,
        delegate_to: Optional[str] = None,
        udf_config: Optional[list] = None,
        use_legacy_sql: bool = True,
        maximum_billing_tier: Optional[int] = None,
        maximum_bytes_billed: Optional[float] = None,
        create_disposition: str = 'CREATE_IF_NEEDED',
        schema_update_options: Optional[Union[list, tuple, set]] = None,
        query_params: Optional[list] = None,
        labels: Optional[dict] = None,
        priority: str = 'INTERACTIVE',
        time_partitioning: Optional[dict] = None,
        api_resource_configs: Optional[dict] = None,
        cluster_fields: Optional[List[str]] = None,
        location: Optional[str] = None,
        encryption_configuration: Optional[dict] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        if bigquery_conn_id:
            warnings.warn(
                "The bigquery_conn_id parameter has been deprecated. You should pass "
                "the gcp_conn_id parameter.",
                DeprecationWarning,