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Posted to dev@kafka.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/07/13 14:48:20 UTC

[jira] [Commented] (KAFKA-3858) Add functions to print stream topologies

    [ https://issues.apache.org/jira/browse/KAFKA-3858?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15375140#comment-15375140 ] 

ASF GitHub Bot commented on KAFKA-3858:
---------------------------------------

GitHub user enothereska opened a pull request:

    https://github.com/apache/kafka/pull/1619

    KAFKA-3858: Basic printing of everything

    

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

    $ git pull https://github.com/enothereska/kafka KAFKA-3858-print-topology

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

    https://github.com/apache/kafka/pull/1619.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 #1619
    
----
commit 4152616717118ca585d8f0707fb91b9795dd1efd
Author: Eno Thereska <en...@gmail.com>
Date:   2016-07-13T14:45:58Z

    Basic printing of everything

----


> Add functions to print stream topologies
> ----------------------------------------
>
>                 Key: KAFKA-3858
>                 URL: https://issues.apache.org/jira/browse/KAFKA-3858
>             Project: Kafka
>          Issue Type: New Feature
>          Components: streams
>    Affects Versions: 0.10.1.0
>            Reporter: Roger Hoover
>            Assignee: Eno Thereska
>
> For debugging and development, it would be very useful to be able to print Kafka streams topologies.  At a minimum, it would be great to be able to see the logical topology including with Kafka topics linked by sub-topologies.  I think that this information does not depend on partitioning.  For more detail, it would be great to be able to print the same logical topology but also showing number of tasks (an perhaps task ids?).  Finally, it would be great to show the physical topology after the tasks have been mapped to JVMs + threads.



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