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Transaction using datamodel

rkd
Loves-to-Learn Everything

Hello,

I am trying to calculate the browse time and bandwith usage of users by looking at the log files of the firewall. As far as i can understand the best way to this is to use transaction command.  However, to make the transaction command more efficient, i tried to use it with tstats (which may be completely wrong). my assumption is that if there is more than one log for a source IP to a destination IP for the same time value, it is for the same session. 

Here is my query:

| tstats sum(datamodel.mbyte) as mbyte from datamodel=datamodel by _time source destination
| transaction source destination maxpause=1m

My questions are:

  1. is there a more efficient way to calculate these values?
  2. Max duration value for my query is always equals to maxpause value. Shouldn't be values greater than maxpause. 

Thanks in advance

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richgalloway
SplunkTrust
SplunkTrust

I wonder if you might misunderstand the transaction command.  It merges multiple events based on shared elements.  The tstats command with a by clause does a similar thing so you probably don't need both commands.  Have you tried tstats by itself to see if it produces the desired results?

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If this reply helps you, Karma would be appreciated.
0 Karma

Kaand
Explorer

Well i may be wrong about transaction, but let me clarify what i need by giving examples. Lets say that i have data as follows:

Event IDTimeSourceDestination
108:00:00S1D1
208:00:45S1D1
308:01:30S1D1
408:02:31S1D1

 

By using transaction i want to group Event ID 1, 2 and 3.  Because, the time difference between consecutive events are less than 1min. Here is my desired output:

Transaction IDSourceDestinationDuration 
1S1D190 
2S1D10 

 

Shouldn't transaction command do that? Am i missing something?

0 Karma
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