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
"""
        Executes a BigQuery SQL query. See here:
        https://cloud.google.com/bigquery/docs/reference/v2/jobs
        For more details about the configuration parameter.
        :param configuration: The configuration parameter maps directly to
            BigQuery's configuration field in the job object. See
            https://cloud.google.com/bigquery/docs/reference/v2/jobs for
            details.
        """
        warnings.warn("This method is deprecated. Please use `BigQueryHook.insert_job`", DeprecationWarning)
        job = self.insert_job(configuration=configuration, project_id=self.project_id)
        self.running_job_id = job.job_id
        return job.job_id
    def run_load(  # 
        self,
        destination_project_dataset_table: str,
        source_uris: List,
        schema_fields: Optional[List] = None,
        source_format: str = 'CSV',
        create_disposition: str = 'CREATE_IF_NEEDED',
        skip_leading_rows: int = 0,
        write_disposition: str = 'WRITE_EMPTY',
        field_delimiter: str = ',',
        max_bad_records: int = 0,