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Posted to dev@kafka.apache.org by "Jeff Klukas (JIRA)" <ji...@apache.org> on 2016/05/16 15:12:12 UTC
[jira] [Commented] (KAFKA-3715) Higher granularity streams metrics
[ https://issues.apache.org/jira/browse/KAFKA-3715?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15284706#comment-15284706 ]
Jeff Klukas commented on KAFKA-3715:
------------------------------------
It would be interesting to work on this, but I won't likely have time in the near future, so others should feel free to implement these ideas.
> Higher granularity streams metrics
> -----------------------------------
>
> Key: KAFKA-3715
> URL: https://issues.apache.org/jira/browse/KAFKA-3715
> Project: Kafka
> Issue Type: Improvement
> Components: streams
> Reporter: Jeff Klukas
> Assignee: Guozhang Wang
> Priority: Minor
> Fix For: 0.10.1.0
>
>
> Originally proposed by [~guozhang] in https://github.com/apache/kafka/pull/1362#issuecomment-218326690
> We can consider adding metrics for process / punctuate / commit rate at the granularity of each processor node in addition to the global rate mentioned above. This is very helpful in debugging.
> We can consider adding rate / total cumulated metrics for context.forward indicating how many records were forwarded downstream from this processor node as well. This is helpful in debugging.
> We can consider adding metrics for each stream partition's timestamp. This is helpful in debugging.
> Besides the latency metrics, we can also add throughput latency in terms of source records consumed.
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