Hi
How many partitions do your topics have?
As far as I understand there is a RocksDB for every partition of every KTable
and this can add up quickly.
Depending on how many instances you are using one of them might have to handle
the complete load temporarily which will use more memory.
Also, Roc
Cross posted on SO:
https://stackoverflow.com/questions/54701449/accessing-kafka-streams-ktable-underlying-rocksdb-memory-usage
On 2/14/19 9:24 PM, P. won wrote:
> Hi,
>
> I have a kafka stream app that currently takes 3 topics and aggregates
> them into a KTable. This app resides inside a micros
Hi,
I have a kafka stream app that currently takes 3 topics and aggregates
them into a KTable. This app resides inside a microservice which has
been allocated 512 MB memory to work with. After implementing this,
I've noticed that the docker container running the microservice
eventually runs out of
