It is also important to note that since the release 2.4 of Apache Kafka
the DefaultPartitioner now implements a sticky partitioning strategy
rather than round-robin based on the key. This means that if you need
fine control over which partition records will end up given the key --
you ought to
Hi Victoria,
If processing order is not a requirement you could define a random key and
your load would be randomly distributed across partitions.
So far I was unable to find a solution to perfectly distribute the load
across partitions when records are created from multiple producers - random
Hi,
I have userId as a key.
Many users have moderate amounts of data but some users have more and some
users have huge amount of data.
I have been thinking about the following aspects of partitioning:
1. If two or more large users will fall into same partition I might end up
with large
