Hi all,
When using Kafka for event sourcing in a CQRS style app, what approach
do you recommend for mapping DDD aggregates to topic partitions?
Assigning a partition to each aggregate seems at first to be the right
approach: events can be replayed in correct order for each aggregate and
there is no mixing of events for different aggregates.
But this page
http://www.confluent.io/blog/how-to-choose-the-number-of-topicspartitions-in-a-kafka-cluster
has the recommendation to " limit the number of partitions per broker to
two to four thousand and the total number of partitions in the cluster
to low tens of thousand".
One partition per aggregate will far exceed that number.
Thanks,
Mark
