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https://issues.apache.org/jira/browse/KAFKA-5002?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15953717#comment-15953717
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Matthias J. Sax commented on KAFKA-5002:
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"if i start consumer which consumes data from topic t1 and partition p1 then
the stream logic doesn't consider p1 for processing" -> starting a consumer
(with different {{group.id}}) should not conflict with Kafka Streams -- it
would be invalid (and should fail with an exception) if you start a consumer
with the same {{group.id}} as the Kafka Streams app (note, Kafka Streams uses
it's {{application.id}} as {{group.id}} internally). Just want to verify, I
understand correctly what you are reporting.
> Stream does't seem to consider partitions for processing which are being
> consumed
> ---------------------------------------------------------------------------------
>
> Key: KAFKA-5002
> URL: https://issues.apache.org/jira/browse/KAFKA-5002
> Project: Kafka
> Issue Type: Bug
> Components: streams
> Affects Versions: 0.10.2.0
> Environment: Windows 8.1
> Reporter: Mustak
> Labels: patch
>
> Kafka streams doesn't seems to consider particular partition for processing
> if that partition is being consumed by some consumer. For example if I've two
> topics t1 and t2 with two partitions p1 and p2 and there is a stream process
> is running with consumes data from these topics and produce output to topic
> t3 which has two partitions. If run this kind of topology it works but if i
> start consumer which consumes data from topic t1 and partition p1 then the
> stream logic doesn't consider p1 for processing and stream doesn't provide
> any output related to that partition. I think stream logic should consider
> partitions which are being consumed.
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