I'm using akka-kafka with committablePartitionedSource, meaning I have a
source of (partition, innersource) tuples.

I'm currently using the flatMapMerge recipe from

https://doc.akka.io/docs/akka-stream-kafka/current/consumer.html#source-per-partition

val done = Consumer.committablePartitionedSource(consumerSettings,
Subscriptions.topics("topic1"))
  .flatMapMerge(maxPartitions, _._2)
  .via(business)
  .batch(max = 20, first =>
CommittableOffsetBatch.empty.updated(first.committableOffset)) {
(batch, elem) =>
    batch.updated(elem.committableOffset)
  }
  .mapAsync(3)(_.commitScaladsl())
  .runWith(Sink.ignore)

If I have a default supervision strategy which resumes, set at the
materializer level, but want to stop the stream (which in my case restarts
a host actor with backoff) at the source level, do I need to do a
withAttributes(attributesForStoppingDecider) at both the outer source and
inner source leves?
i.e.

val done = Consumer.committablePartitionedSource(consumerSettings,
Subscriptions.topics("topic1"))
  .withAttributes(attributesForStoppingDecider).flatMapMerge(maxPartitions,
_._2.withAttributes(attributesForStoppingDecider))
.via(business)

or can I do it after the flatMapMerge? Question motivated by this open
ticket which I'm not sure I fully understand yet.

https://github.com/akka/akka/issues/23066

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