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https://issues.apache.org/jira/browse/METRON-590?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15767671#comment-15767671
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ASF GitHub Bot commented on METRON-590:
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Github user mattf-horton commented on the issue:

    https://github.com/apache/incubator-metron/pull/395
  
    @nickwallen and @cestella, I'm fine with this conclusion, but from a design 
perspective, the ZkConfigurationManager effort should not be viewed as bringing 
the current file to parity with ConfiguredBolt.  Rather, the starting point 
should be a refactoring of ConfiguredBolt.  ConfiguredBolt is only 60 lines of 
code that does this thing quite well, with real-time event capture.  You want 
to add caching of the deserialized configs as well as the raw ZK info, and 
that's good.  But that can be added on, it is not clear why starting from 
scratch is required.  Clearly deriving from ConfiguredBolt will also make it 
way easier to code review and give confidence in the refactoring.
    
    If you feel it is really necessary to start from scratch, please do a brief 
design document stating why.  Thanks.


> Enable Use of Event Time in Profiler
> ------------------------------------
>
>                 Key: METRON-590
>                 URL: https://issues.apache.org/jira/browse/METRON-590
>             Project: Metron
>          Issue Type: Improvement
>            Reporter: Nick Allen
>            Assignee: Nick Allen
>
> There are at least two different times that are important to consider when 
> handling the telemetry messages received by Metron.  
> (1) Processing time is the time at which Metron processed the message.  
> (2) Event time is the time at which the event actually occurred.
> If Metron is consuming live data and all is well, the processing and event 
> times may remain close and consistent. When processing time differs from 
> event time the data produced by the Profiler may be inaccurate.  There are a 
> few scenarios under which these times might differ greatly which would 
> negatively impact the feature set produced by the Profiler.  
> (1) When the system has experienced an outage, for example, a scheduled 
> maintenance window. When restarted a high volume of messages will need to be 
> processed by the Profiler.  The output of the Profiler will indicate an 
> increase in activity, although no change in activity actually occurred on the 
> target network.  This could happen whether the outage was Metron itself or an 
> upstream system that feeds data to Metron.
> (2) If the user attempts to replay historical telemetry through the Profiler, 
> the Profiler will attribute the activity to the time period in which it was 
> processed.  Obviously the activity should be attributed to the time period in 
> which the raw telemetry events originated in.
> There are some scenarios when processing time might be preferred and other 
> use cases where event time is preferred.  The Profiler should be enhanced to 
> allow it to produce profiles based on either processing time or event time.



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