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How to summarize a lot of fields with mvappend

New Member

I am trying to find the standard deviation from the postfix log.
I assume the following search sentence.

index=postfix earliest=-50d
| timechart span=1d count by fromaddress
| eval readabletime=strftime(time, "%Y-%m-%d ")
| fields - NULL OTHER _time _span _spandays
| transpose 50
| rename "row " as day
| eval mvfield=mvappend(day1,day2,day3,day4,day5............)
| stats avg(mvfield) as avg stdev(mvfield) as std by column

Is there a way to more easily define day 1 to day 50?
| eval mvfield=mvappend(day1,day2,day3,day4,day5............)

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1 Solution

SplunkTrust
SplunkTrust

Give this a try

index=postfix earliest=-50d
| timechart span=1d count by fromaddress
| eval readable_time=strftime(_time, "%Y-%m-%d ")
| fields - NULL OTHER _time _span _spandays
| transpose 50
| rename "row " as day
| eval mvfield=null() | foreach day* [eval mvfield=mvappend(mvfield,'<<FIELD>>')]
| stats avg(mvfield) as avg stdev(mvfield) as std by column

View solution in original post

0 Karma

SplunkTrust
SplunkTrust

Give this a try

index=postfix earliest=-50d
| timechart span=1d count by fromaddress
| eval readable_time=strftime(_time, "%Y-%m-%d ")
| fields - NULL OTHER _time _span _spandays
| transpose 50
| rename "row " as day
| eval mvfield=null() | foreach day* [eval mvfield=mvappend(mvfield,'<<FIELD>>')]
| stats avg(mvfield) as avg stdev(mvfield) as std by column

View solution in original post

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SplunkTrust
SplunkTrust

Also, try this

index=postfix earliest=-50d
 | timechart span=1d count by fromaddress
 | eval readable_time=strftime(_time, "%Y-%m-%d ")
 | fields - NULL OTHER _time _span _spandays
| untable readable_time column valuefield
| stats avg(valuefield) stdev(valuefield) by column
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New Member

The answer I was hoping for
Thank you!

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