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https://issues.apache.org/jira/browse/METRON-590?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15751658#comment-15751658
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ASF GitHub Bot commented on METRON-590:
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Github user cestella commented on the issue:

    https://github.com/apache/incubator-metron/pull/395
  
    One question.  I like your signature for `PROFILE_GET_FROM`: 
`PROFILE_GET_FROM(profile, entity, look-back, offset)` but your example usage, 
`PROFILE_GET_FROM('replayed-profile', '10.0.0.1', 15, "MINUTES", 2, "MONTHS")` 
doesn't appear to fit (the last 2 args aren't an offset).  I'd expect `offset` 
to be a timestamp and if you want to do things like figure out which timestamp 
to use, you'd do it with other stellar functions.  So, for instance, I'd 
imagine your example as:
    `PROFILE_GET_FROM('replayed-profile', '10.0.0.1', 15, "MINUTES", 
DATE_SUBTRACT(timestamp, 2, "MONTHS"))` where `DATE_SUBTRACT` subtracts 2 
months from the timestamp of the data and returns that timestamp.  
    
    Does that make sense at all?


> 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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