Thanks for your response Damian.
> However the in-memory store will write each update to the changelog
> (regardless of context.commit), which seems to be the issue you have?
Yes. I have the issue.
Although I can't say a specific number, it is issue for me, for example,
that Kafka Streams reads h
Hi,
There is no way to enable caching on in-memory-store - by definition it is
already cached. However the in-memory store will write each update to the
changelog (regardless of context.commit), which seems to be the issue you
have?
When you say large, how large? Have you tested it and observed t
Hi.
I am developing a simple log counting application using Kafka Streams 0.10.1.1.
Its implementation is almost the same as the WordCountProcessor in the
confluent document
[http://docs.confluent.io/3.1.1/streams/developer-guide.html#processor-api].
I am using in-memory state store,
its key is