Hi Kevin, You are right RocksDB is probably responsible for the memory consumption you are noticing. We have definitely seen similar issues in the past and with the latest Flink version 1.14 we tried to restrict the RocksDB memory consumption even more to make it better controllable.
Can you tell is a bit more about the job you are using and the respective Flink version? I would be also interested what kind of memory configurations you did on the flink cluster i.e. taskmanager.memory.process.size. You can also have a look at the following docs pages [1] to fine tune the memory consumption of your job. Please let me know if that helps. Best, Fabian [1] https://ci.apache.org/projects/flink/flink-docs-master/docs/deployment/memory/mem_setup/#configure-total-memory
