round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would
        always be compressed, but now you can disable compression by passing
        `compression=None` to `tf.data.experimental.service.distribute(...)`.
    *   `tf.data.Dataset.batch()` now supports `num_parallel_calls` and

                      properties:
                        abort:
                          description: Abort Http request attempts and return error
                            codes back to downstream service, giving the impression
                            that the upstream service is faulty.
                          oneOf:
                          - not:
                              anyOf: