Hi, I have a pipeline running on flink which ingests around 6k messages per second. Each message is around 1kb and it passes through various stages like filter, 5 sec tumbling window per key etc.. and finally flatmap to computation before sending it to kafka sink. The data is first ingested as protocol buffers and then in subsequent operators they are converted into POJO's.
There are lots objects created inside the user functions and some of them are cached as well. I have been running this pipeline on 48 task slots across 3 task manages with each one allocated with 22GB memory. The issue I'm having is within a period of 10 hours, almost 19k young generation GC have been run which is roughly every 2 seconds and GC time taken value is more than 2 million. I have also enabled object reuse. Any suggestions on how this issue could be resolved? Thanks. Regards, Govind
