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Table of results with transactions levels of durations

New Member


how can we generate the below table statistics for transactions durations?


Date, TotalNumberOfTrans, MaxDuration, X<1m, %<1m, X<1h, %<1h, X<6h, %<6h, X<24h, %<24h, X>24h, %>24h

Nir Oren

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New Member


0 Karma

Splunk Employee
Splunk Employee

If your intervals were constant you could use the eval command "range" to do so.
But as you have discrete ranges (1m, 1h, 6h, 24h, 24h+) you can create a grouping using an eval case command.

The example is a bit cumbersome, and does not contains the MaxDuration, once we do the chart grouping.

example :

<pseudo search to get your results >
| bucket _time span=1d
| eval duration_range=case(X<0,"invalid",X<60,"1minute",X<(60*60),"1hour",X<(60*60*24),"1day",1=1,"morethan1day")
 | stats count AS CountTransaction max(X) AS MaxDuration by _time duration_range
 | chart max(CountTransaction) AS CountTransaction max(TotalTransactions) AS TotalTransactions by _time duration_range

 | fillnull "CountTransaction: 1hour" "CountTransaction: 1minute" "CountTransaction: 1day" "CountTransaction: morethan1day" value="0" 
 | eval TotalTransactions='CountTransaction: 1hour'+'CountTransaction: 1minute'+'CountTransaction: 1day'+'CountTransaction: morethan1day'
 | eval "percent: 1minute"=round(100*'CountTransaction: 1minute'/TotalTransactions,2)."%"
 | eval "percent: 1hour"=round(100*'CountTransaction: 1hour'/TotalTransactions,2)."%"
 | eval "percent: 1day"=round(100*'CountTransaction: 1day'/TotalTransactions,2)."%"
 | eval "percent: morethan1day"=round(100*'CountTransaction: morethan1day'/TotalTransactions,2)."%"
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