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Posted to dev@kafka.apache.org by aartigupta <gi...@git.apache.org> on 2016/05/30 05:06:31 UTC

[GitHub] kafka pull request: Kafka Streams: add granular metrics per node

GitHub user aartigupta opened a pull request:

    https://github.com/apache/kafka/pull/1446

    Kafka Streams: add granular metrics per node

    Kafka Streams: add granular metrics per node, also expose ability to \u2026
    \u2026register non latency metrics in StreamsMetrics
    
    from 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.
    --------------
    More discussions here https://issues.apache.org/jira/browse/KAFKA-3715


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/aartigupta/kafka trunk

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/kafka/pull/1446.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1446
    
----
commit 05b0947c333445024dd3924659302bba65b4cd85
Author: aartigupta <aa...@gmail.com>
Date:   2016-05-30T03:42:43Z

    Kafka Streams: add granular metrics per node, also expose ability to register non latency metrics in StreamsMetrics
    
    From 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.
    
    More discussions here https://issues.apache.org/jira/browse/KAFKA-3715

commit dbaad2a54cf103f7420304f7c5768eda36bfa750
Author: aartigupta <aa...@gmail.com>
Date:   2016-05-30T04:57:55Z

    Kafka Streams: add granular metrics per node, also expose ability to register non latency metrics in StreamsMetrics
    
    From 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.
    
    More discussions here https://issues.apache.org/jira/browse/KAFKA-3715

----


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[GitHub] kafka pull request #1446: KAFKA-3715: add granular metrics per node

Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:

    https://github.com/apache/kafka/pull/1446


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