Hello, My team recently had an issue that looks like it might be caused by some backpressure from flume and I am having trouble finding information related to my investigations.
We have a single source that is writing to three memory channels (one for each DC we are sending to) and multiple sinks writing to the kafka clusters in each DC. We had a connectivity issue where two of our DC’s were no longer able to send to the kafka cluster in the third DC which caused that memory channel to fill up. It appears that this one full channel has either create backpressure on the process sending data into flume or slowed down the ability of flume to read data in. When our problem first started it looked like it might have been related to boxes that had lower memory and then a significant amount of swap getting used but we were seeing similar issues on other boxes that were never using any swap. Looking back at the some of some of our grafana info during the issue seems to show EventsReceived in the hundreds rather than in the 20k-40k range. My team is using Flume 1.8.0. Thanks, Adam
