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
Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    :type impersonation_chain: Union[str, Sequence[str]]
    """
    template_fields = (
        'dataset_id',
        'project_id',
        'impersonation_chain',
    )
    ui_color = BigQueryUIColors.DATASET.value
    @apply_defaults
    def __init__(
        self,
        *,
        dataset_id: str,
        project_id: Optional[str] = None,
        max_results: Optional[int] = None,
        gcp_conn_id: str = 'google_cloud_default',
        delegate_to: Optional[str] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        self.dataset_id = dataset_id
        self.project_id = project_id
        self.max_results = max_results
        self.gcp_conn_id = gcp_conn_id
        self.delegate_to = delegate_to
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)
    def execute(self, context):