### 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)

job_template = self.create_job_template()
        
        if os.path.isfile(self.main):
            cluster_info = self.hook.get_cluster(
                project_id=self.project_id, region=self.region, cluster_name=self.cluster_name
            )
            bucket = cluster_info["config"]["config_bucket"]
            self.main = self._upload_file_temp(bucket, self.main)
        job_template.set_python_main(self.main)
        job_template.add_args(self.arguments)
        job_template.add_archive_uris(self.archives)
        job_template.add_file_uris(self.files)
        job_template.add_python_file_uris(self.pyfiles)
        super().execute(context)
class DataprocCreateWorkflowTemplateOperator(GoogleCloudBaseOperator):
    """Creates new workflow template.
    :param project_id: Optional. The ID of the Google Cloud project the cluster belongs to.
    :param region: Required. The Cloud Dataproc region in which to handle the request.
    :param template: The Dataproc workflow template to create. If a dict is provided,
        it must be of the same form as the protobuf message WorkflowTemplate.
    :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.
    """
    template_fields: Sequence[str] = ("region", "template")
    template_fields_renderers = {"template": "json"}
    operator_extra_links = (DataprocLink(),)
    def __init__(