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
:type impersonation_chain: Union[str, Sequence[str]]
    """
    template_fields = (
        'dataset_id',
        'table_id',
        'project_id',
        'gcs_schema_object',
        'labels',
        'view',
        'impersonation_chain',
    )
    ui_color = BigQueryUIColors.TABLE.value
    
    @apply_defaults
    def __init__(
        self,
        *,
        dataset_id: str,
        table_id: str,
        table_resource: Optional[Dict[str, Any]] = None,
        project_id: Optional[str] = None,
        schema_fields: Optional[List] = None,
        gcs_schema_object: Optional[str] = None,
        time_partitioning: Optional[Dict] = None,
        bigquery_conn_id: str = 'google_cloud_default',
        google_cloud_storage_conn_id: str = 'google_cloud_default',
        delegate_to: Optional[str] = None,
        labels: Optional[Dict] = None,
        view: Optional[Dict] = None,
        encryption_configuration: Optional[Dict] = None,