**Description**

This operator should cancel running workflow template `on_kill`. This option probably should be configurable because of request_id prameter in a job definition: https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_inline_workflow_template
https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_workflow_template

Note this will have to cancle the Google Long Running Operation for the workflow template (which will in turn cancel all children jobs and clean up relevant cluster).

**Use case / motivation**

Remove dangling workflow templates

**Related Issues**
#10381
#6371
mock_create_cluster.side_effect = [AlreadyExists("test"), cluster_running]
        mock_generator.return_value = [0]
        mock_get_cluster.side_effect = [cluster_deleting, NotFound("test")]
        op = DataprocCreateClusterOperator(
            task_id=TASK_ID,
            region=GCP_REGION,
            project_id=GCP_PROJECT,
            cluster_config=CONFIG,
            labels=LABELS,
            cluster_name=CLUSTER_NAME,
            delete_on_error=True,
            gcp_conn_id=GCP_CONN_ID,
        )
        op.execute(context=self.mock_context)
        calls = [mock.call(mock_hook.return_value), mock.call(mock_hook.return_value)]
        mock_get_cluster.assert_has_calls(calls)
        mock_create_cluster.assert_has_calls(calls)
        to_dict_mock.assert_called_once_with(cluster_running)
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    @mock.patch(DATAPROC_TRIGGERS_PATH.format("DataprocAsyncHook"))
    def test_create_execute_call_defer_method(self, mock_trigger_hook, mock_hook):
        mock_hook.return_value.create_cluster.return_value = None
        operator = DataprocCreateClusterOperator(
            task_id=TASK_ID,
            region=GCP_REGION,
            project_id=GCP_PROJECT,
            cluster_config=CONFIG,
            labels=LABELS,
            cluster_name=CLUSTER_NAME,
            delete_on_error=True,