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
template_fields = (
        'dataset_id',
        'table_id',
        'max_results',
        'selected_fields',
        'impersonation_chain',
    )
    ui_color = BigQueryUIColors.QUERY.value
    @apply_defaults
    def __init__(
        self,
        *,
        dataset_id: str,
        table_id: str,
        max_results: int = 100,
        selected_fields: Optional[str] = None,
        gcp_conn_id: str = 'google_cloud_default',
        bigquery_conn_id: Optional[str] = None,
        delegate_to: Optional[str] = None,
        location: Optional[str] = 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,
                stacklevel=3,