Performance degradation

[nenych]

Observed behavior

Performance degradation after the slow consumer connection. As you can see below, we are observing about 30% degradation of the incoming messages when the slow consumer connected, and about 50% after the second one.

Expected behavior

Stop sending messages to the slow consumers until their buffers are empty without slowing down the server.

Server and client version

Server: 2.9.20 Python library: nats-py 2.7.2

Host environment

Local: MacOS 14.4.1, arm64, Docker 26.0.0 The same behavior with the amd64 emulator (--platform=linux/amd64 flag).

GKE Container-Optimized OS, amd64, containerd

Steps to reproduce

Prepared required configs and docker-compose file that will start NATS, Prometheus, an exporter, and two consumers: https://github.com/nenych/nats-test.

Steps to run

1. Clone the repository.
2. Build the docker image:

   docker build -t test/nats:latest .

3. Install NATS cli: https://docs.nats.io/using-nats/nats-tools/nats_cli
4. Run docker-compose (will start NATS, prometheus and 2 consumers):

   docker-compose -f ./docker-compose.yaml up -d

5. Start NATS benchmark:

   nats bench updates --pub=4 --msgs 1000000000 --size=1000

6. Wait a little and start the slow consumer:

   docker run --rm -it --network=nats-test_default test/nats:latest python3 slow-consumer.py

Explore metrics

1. Open prometheus: http://localhost:9091/graph
2. Insert query:

   sum by (job) (rate(nats_varz_in_msgs[30s]))

[ripienaar]

Server 2.9.20 is now quite a while out of date, let us know how latest 2.10 works for you.

[nenych]

Below you can see the same test with the NATS 2.10.14, with this version we have even worse results:

[kam1kaze]

Any updates here? We have the same issue on our cluster. Thanks