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
"""
    This operator is used to create new dataset for your Project in BigQuery.
    https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryCreateEmptyDatasetOperator`
    :param project_id: The name of the project where we want to create the dataset.
    :type project_id: str
    :param dataset_id: The id of dataset. Don't need to provide, if datasetId in dataset_reference.
    :type dataset_id: str
    :param location: The geographic location where the dataset should reside.
    :type location: str
    :param dataset_reference: Dataset reference that could be provided with request body.
        More info:
        https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource
    :type dataset_reference: dict
    :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,