Hey folks, We are trying to use the broadcast state as "Shared Rule" state to filter test data in our stream pipeline, the broadcast will be connected with other streams in the pipeline. I noticed on broadcast_state[1] important consideration page, it is mentioned *No RocksDB state backend* and state would be kept in in-memory at runtime.
I am trying to figure out how it works, for example, 1. If a node goes down, will broadcast state lost the entire state for that node and then sync from other nodes? 2. In case of the entire job fail or savepoint been triggered, how broadcast state get its state back or additional bootstrapping logic needs to be added ourselves? Thanks for your help! Best regards, Chengzhi [1] https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/state/broadcast_state.html#important-considerations