### 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)

if self.job_id and self.cancel_on_kill:
            self.hook.cancel_job(job_id=self.job_id, project_id=self.project_id, region=self.region)
class DataprocUpdateClusterOperator(GoogleCloudBaseOperator):
    """Update a cluster in a project.
    :param region: Required. The Cloud Dataproc region in which to handle the request.
    :param project_id: Optional. The ID of the Google Cloud project the cluster belongs to.
    :param cluster_name: Required. The cluster name.
    :param cluster: Required. The changes to the cluster.
        If a dict is provided, it must be of the same form as the protobuf message
        :class:`~google.cloud.dataproc_v1.types.Cluster`
    :param update_mask: Required. Specifies the path, relative to ``Cluster``, of the field to update. For
        example, to change the number of workers in a cluster to 5, the ``update_mask`` parameter would be
        specified as ``config.worker_config.num_instances``, and the ``PATCH`` request body would specify the
        new value. If a dict is provided, it must be of the same form as the protobuf message
        :class:`~google.protobuf.field_mask_pb2.FieldMask`
    :param graceful_decommission_timeout: Optional. Timeout for graceful YARN decommissioning. Graceful
        decommissioning allows removing nodes from the cluster without interrupting jobs in progress. Timeout
        specifies how long to wait for jobs in progress to finish before forcefully removing nodes (and
        potentially interrupting jobs). Default timeout is 0 (for forceful decommission), and the maximum
        allowed timeout is 1 day.
    :param request_id: Optional. A unique id used to identify the request. If the server receives two
        ``UpdateClusterRequest`` requests with the same id, then the second request will be ignored and the
        first ``google.longrunning.Operation`` created and stored in the backend is returned.
    :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be
        retried.
    :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
        ``retry`` is specified, the timeout applies to each individual attempt.
    :param metadata: Additional metadata that is provided to the method.
    :param gcp_conn_id: The connection ID to use connecting to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term