### Description

The Python Google Cloud Dataproc API version has been updated in Airflow to support filtering on the Dataproc Batches API.  The DataprocListBatchesOperator can be updated to make use of this filtering.  

Currently, DataprocListBatchesOperator returns, and populates xcom with every job run in the project.  This almost surely will fail as the return object is large and xcom storage is low, especially with MySQL. Filtering on job prefix and create_time are much more useful capabilities. 

### Use case/motivation

The ability to filter lists of GCP Dataproc Batches jobs.  

### Related issues

None

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
        Helper method for easier migration.
        :return: Dict representing Dataproc cluster.
        """
        return self._build_cluster_data()
class DataprocCreateClusterOperator(GoogleCloudBaseOperator):
    """Create a new cluster on Google Cloud Dataproc.
    The operator will wait until the creation is successful or an error occurs
    in the creation process.
    If the cluster already exists and ``use_if_exists`` is True, the operator will:
    If the cluster already exists and ``use_if_exists`` is True then the operator will:
    - if cluster state is ERROR then delete it if specified and raise error
    - if cluster state is CREATING wait for it and then check for ERROR state
    - if cluster state is DELETING wait for it and then create new cluster
    Please refer to
    https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.clusters
    for a detailed explanation on the different parameters. Most of the configuration
    parameters detailed in the link are available as a parameter to this operator.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:DataprocCreateClusterOperator`
    :param project_id: The ID of the Google cloud project in which
        to create the cluster. (templated)
    :param cluster_name: Name of the cluster to create
    :param labels: Labels that will be assigned to created cluster. Please, notice that
        adding labels to ClusterConfig object in cluster_config parameter will not lead
        to adding labels to the cluster. Labels for the clusters could be only set by passing
        values to parameter of DataprocCreateCluster operator.
    :param cluster_config: Required. The cluster config to create.