Stuck on an issue?

Hello, this issue is a result of investigation of related problem in https://github.com/zio/zio-kafka/issues/238

For some reason during continuous recreation of Promises inner state of each new Promise(after old one was already completed) slowly growing and start to consumes too much cpu time as a results significantly affects performance of entire application.

The actual problem is in the next function and List of joiners, its starts from 0.1-2% of cpu time and goes up until you reset parent effect or app stops to respond(usually about up to 30%+ of cpu):

How it looks in real application

Reproducible scenario(takes at least 1-3 hours to see the effect), but the growing time it spends on inner joiners list is visible in cpu sampler from the beginning:

testM("stream should not go brrr") {

      def newJob(queue: Queue[Promise[Option[Throwable], Chunk[Int]]]) = ZStream {
        ZManaged.succeed {
          for {
            p <- Promise.make[Option[Throwable], Chunk[Int]]
            _ <- queue.offer(p)
            r <- p.await
          } yield r
        }
      }

      (for {
        jobQueue  <- Queue.unbounded[ZStream[Any, Throwable, Int]]
        feedQueue <- Queue.unbounded[Promise[Option[Throwable], Chunk[Int]]]
        
        //Actual stream of substreams
        stream = ZStream
          .fromQueue(jobQueue)
          .mapMParUnordered(50) { s =>
            //Just to affect performance faster
            s.mapMPar(10)(Task(_))
              .groupedWithin(1000, 1.millis)
              .buffer(2)
              .bufferSliding(1)
              .runDrain
          }
          .runDrain
        
        //Feed to fullfill promises
        feed = ZStream
          .fromQueue(feedQueue)
          .mapMPar(10) { x =>
            x.succeed(Chunk(1))
          }
          .runDrain
        
        fb1 <- stream.fork
        fb2 <- feed.fork
        
        _   <- Chunk.fromIterable(0.to(10)).mapM(_ => jobQueue.offer(newJob(feedQueue)))
        
        _   <- fb1.zip(fb2).join
      } yield assert(true)(equalTo(true))).provideCustomLayer(zio.clock.Clock.live)
}

TLDR: We have stream of substreams that generates and fullfill promises one by one, its starts to work very slow over time and use as much cpu as possible, after we recreate stream, performance become normal and start degrade from the beginning