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
:param flatten_results: If true and query uses legacy SQL dialect, flattens
        all nested and repeated fields in the query results. ``allow_large_results``
        must be ``true`` if this is set to ``false``. For standard SQL queries, this
        flag is ignored and results are never flattened.
    :type flatten_results: bool
    :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud.
    :type gcp_conn_id: str
    :param bigquery_conn_id: (Deprecated) The connection ID used to connect to Google Cloud.
        This parameter has been deprecated. You should pass the gcp_conn_id parameter instead.
    :type bigquery_conn_id: str
    :param delegate_to: The account to impersonate using domain-wide delegation of authority,
        if any. For this to work, the service account making the request must have
        domain-wide delegation enabled.
    :type delegate_to: str
    :param udf_config: The User Defined Function configuration for the query.
        See https://cloud.google.com/bigquery/user-defined-functions for details.
    :type udf_config: list
    :param use_legacy_sql: Whether to use legacy SQL (true) or standard SQL (false).
    :type use_legacy_sql: bool
    :param maximum_billing_tier: Positive integer that serves as a multiplier
        of the basic price.
        Defaults to None, in which case it uses the value set in the project.
    :type maximum_billing_tier: int
    :param maximum_bytes_billed: Limits the bytes billed for this job.
        Queries that will have bytes billed beyond this limit will fail
        (without incurring a charge). If unspecified, this will be
        set to your project default.
    :type maximum_bytes_billed: float
    :param api_resource_configs: a dictionary that contain params
        'configuration' applied for Google BigQuery Jobs API: