https://github.com/LemmyNet/lemmy/issues/3245

I posted far more details on the issue then I am putting here-

But, just to bring some math in- with the current full-mesh federation model, assuming 10,000 instances-

That will require nearly 50 million connections.

Each comment. Each vote. Each post, will have to be sent 50 million seperate times.

In the purposed hub-spoke model, We can reduce that by over 99%, so that each post/vote/comment/etc, only has to be sent 10,000 times (plus n*(n-1)/2 times, where n = number of hub servers).

The current full mesh architecture will not scale. I predict, exponential growth will continue to occur.

Let’s work on a solution to this problem together.

  • Fauxreigner@beehaw.org
    link
    fedilink
    English
    arrow-up
    2
    ·
    1 year ago

    That doesn’t do anything to fix the problem. If a server can only handle 5k updates per minute (a completely made up number), it doesn’t matter if those 5k updates come from one server or a thousand. In theory you could cut down on outbound messages a bit if you could tell a “hub server” that post #123456 got another upvote, so please tell instances A, B, C, D, and E. But the total number of messages would increase, so even if the hub instance can handle more updates, it may eventually hit capacity again.

    The core of the problem is that if an instance doesn’t process an update (inbound or outbound), it doesn’t ever retry, the instances are just out of sync for that post forever.

    • HTTP_404_NotFound@lemmyonline.comOP
      link
      fedilink
      English
      arrow-up
      1
      ·
      1 year ago

      The core of the problem is that if an instance doesn’t process an update (inbound or outbound), it doesn’t ever retry, the instances are just out of sync for that post forever.

      With the pub/sub method- that should be able to be minimized.

      At least, with my experience of messing with rabbitmq- A message stays in the queue, until I have told rabbitMQ, Hey, I have processed this message.

      If I accept a message, an encounter an exception mid-way through, that message returns back to the queue, until It has been processed, or dead-letter logic handles it.

      Granted, there is a hard-coded timeout somewhere in lemmy, where, older messages cannot be processed. That would need to be adjusted.

      • Fauxreigner@beehaw.org
        link
        fedilink
        English
        arrow-up
        2
        ·
        1 year ago

        If you ensure that all messages are queued until processed, with retries on failure, what’s the point of the hub model? As pointed out elsewhere, the large instances would be acting as hubs already.

        • HTTP_404_NotFound@lemmyonline.comOP
          link
          fedilink
          English
          arrow-up
          1
          ·
          1 year ago

          Just removing that load from the main instance server, allowing it to just handle serving its local user-base.

          In short- splitting the load into multiple components, rather than everything being handled by just the single instance server.

          • Fauxreigner@beehaw.org
            link
            fedilink
            English
            arrow-up
            1
            ·
            1 year ago

            I’m just not seeing a benefit here, I think this is a solution to the wrong problem. Your proposal in theory cuts outbound updates from the big hubs, but in reality they’re only updating a subset of other instances for any given update, and it doesn’t do anything to help with inbound updates. And to do that, you have to solve a pretty tricky problem.

            If my instance gets an update from Beehaw, I can validate that they’re allowed to do so, because Beehaw has a TLS certificate that says “Yep, this is actually Beehaw.” If you introduce a hub system, I need some way to determine that the hub system that’s telling me “Beehaw has an update for you” is allowed to send updates on behalf of Beehaw.