Hi
No joins - they're all separate data flows.
Having separate stream instances for subsets of topics would probably work.
Is doesn't seem as clean. It's also slightly more tricky to distribute the
load across separate processes. We'd have to have only one stream thread
allocated to each topic in
Hi Mike,
Are you performing any operations (e.g. joins) across all topics?
If so, I'd think increasing the number of partitions is indeed the way
to go. Partition is the unit of parallelism per topic and all topics are
bound together in your app in that case.
If not, your other option is to
Hi
We have a couple of hundred topics - each carrying a similar but distinct
message type but to keep the total partition count down each only has 3
partitions.
If I start Kafka-streams consuming all topics only 3 threads ever get
assigned any partitions.
I think the first thread to start gets
