Hello! Using kafka-streams 1.1.0, I noticed when I sum the process rate metric for a given processor node, the rate is many times higher than the number of incoming messages. Digging further, it looks like the rate metric associated with each thread in a given application instance is always the same, and if I average by instance and then sum the rates, I recover the incoming message rate. So it looks like the rate metric for each stream thread is actually the reporting the rate for all threads on the instance.
Is this a known issue, or am I misusing the metric? I’m not sure if this affects other metrics, but it does look like the average latency metric is identical for all threads on the same instance, so I suspect it does. Thanks, Sam
