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From Ara Ebrahimi <ara.ebrah...@argyledata.com>
Subject kafka streams consumer partition assignment is uneven
Date Mon, 09 Jan 2017 17:52:52 GMT

I have 3 kafka brokers, each with 4 disks. I have 12 partitions. I have 3 kafka streams nodes.
Each is configured to have 4 streaming threads. My topology is quite complex and I have 7
topics and lots of joins and states.

What I have noticed is that each of the 3 kafka streams nodes gets configured to process variables
number of partitions of a topic. One node is assigned to process 2 partitions of topic a and
another one gets assigned 5. Hence I end up with nonuniform throughput across these nodes.
One node ends up processing more data than the other.

What’s going on? How can I make sure partitions assignment to kafka streams nodes is uniform?

On a similar topic, is there a way to make sure partition assignment to disks across kafka
brokers is also uniform? Even if I use a round-robin one to pin partitions to broker, but
there doesn’t seem to be a way to uniformly pin partitions to disks. Or maybe I’m missing
something here? I end up with 2 partitions of topic a on disk 1 and 3 partitions of topic
a on disk 2. It’s a bit variable. Not totally random, but it’s not uniformly distributed



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