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/hooks/bigquery.py
source_format: str,
    src_fmt_configs: dict,
    valid_configs: List[str],
    backward_compatibility_configs: Optional[Dict] = None,
) -> Dict:
    """
    Validates the given src_fmt_configs against a valid configuration for the source format.
    Adds the backward compatiblity config to the src_fmt_configs.
    :param source_format: File format to export.
    :type source_format: str
    :param src_fmt_configs: Configure optional fields specific to the source format.
    :type src_fmt_configs: dict
    :param valid_configs: Valid configuration specific to the source format
    :type valid_configs: List[str]
    :param backward_compatibility_configs: The top-level params for backward-compatibility
    :type backward_compatibility_configs: dict
    """
    if backward_compatibility_configs is None:
        backward_compatibility_configs = {}
    for k, v in backward_compatibility_configs.items():
        if k not in src_fmt_configs and k in valid_configs:
            src_fmt_configs[k] = v
    for k, v in src_fmt_configs.items():
        if k not in valid_configs:
            raise ValueError("{0} is not a valid src_fmt_configs for type {1}.".format(k, source_format))
    return src_fmt_configs