Hi All, I have been working on moving an application to kafka streams and I have the following questions.
1. We were planning to use an EFS mount to share rocksdb data for KV store and global state store with which we were hoping to minimize the state restore time when new instances are brought up. But later we found that global state stores require a lock so directories cannot be shared. Is there some way around this? How is everyone minimizing the state restoration time? 2. Topology optimization: We are using PAPI and as per the docs topology optimization will have no effects on low level api. Is my understanding correct? 3. There are about 5 KV stores in our stream application and for a few the data size is a bit larger. Is there a config to write data to the changelog topic only once a minute or something? I know it will be a problem in maintaining the data integrity. Basically we want to reduce the amount of changelog data written since we will have some updates for each user every 5 secs or so. Any suggestions on optimizations. 4. Compress data: Is there an option to compress the data being sent and consumed from kafka only for the intermediate topics. The major reason is we don't want to change the final sink because it's used by many applications. If we can just compress and write the data only for the intermediate topics and changelog that would be nice. Thanks and appreciate all the help. Regards, Navneeth
