Splunk Search

Need help on appendcols _time issue

jip31
Motivator

hello

When I run the search below, its gives me "4" in results at the _time span = 11h

 

`index`  earliest=@d+7h latest=@d+19h 
| bin _time span=1h 
 | stats dc(sign_id) as "Signal inc" by _time

 

 

jip31_0-1648036551795.png

But

 

`index` earliest=@d+7h latest=@d+19h 
| stats avg(citrix) as citrix by sam _time 
| eval PbPerf=if(citrix>200,1,0) 
| search PbPerf > 0 
| bin _time span=1h 
| stats dc(sam) as "W" by _time 
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | bin _time span=1h 
    | stats count as W by _time] 
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | bin _time span=1h 
    | stats dc(signaler_id) as "Signal inc" by _time ] 
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | bin _time span=1h 
    | stats count as "TEA" by _time] 
| fillnull value=0 
| eval time=strftime(_time,"%H:%M") 
| sort time 
| fields - _time _span _origtime 
| transpose 0 header_field=time column_name=KPI 
| sort + KPI

 

 my problem is that I must use this search with other search in order to display results by _time span

So when I execute this search with other searches, the results for th primary search is always 4 but it's display the _time span = 11h but for the _time span= 8h!!!

whats is the problem please? 

Tags (2)
0 Karma
1 Solution

ITWhisperer
SplunkTrust
SplunkTrust

As you know, appendcols does not correlate the values in the rows, it just adds data rows in the order returned i.e. the first row returned will be added to the first row of the current set, this means the results can get out of line. Try using timechart which will generate the "missing" time periods.

`index` earliest=@d+7h latest=@d+19h 
| stats avg(citrix) as citrix by sam _time 
| eval PbPerf=if(citrix>200,1,0) 
| search PbPerf > 0 
| timechart span=1h dc(sam) as "W"
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | timechart span=1h count as W] 
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | timechart span=1h dc(signaler_id) as "Signal inc" ] 
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | timechart span=1h count as "TEA"] 
| fillnull value=0 
| eval time=strftime(_time,"%H:%M") 
| sort time 
| fields - _time _span _origtime 
| transpose 0 header_field=time column_name=KPI 
| sort + KPI

View solution in original post

0 Karma

ITWhisperer
SplunkTrust
SplunkTrust

As you know, appendcols does not correlate the values in the rows, it just adds data rows in the order returned i.e. the first row returned will be added to the first row of the current set, this means the results can get out of line. Try using timechart which will generate the "missing" time periods.

`index` earliest=@d+7h latest=@d+19h 
| stats avg(citrix) as citrix by sam _time 
| eval PbPerf=if(citrix>200,1,0) 
| search PbPerf > 0 
| timechart span=1h dc(sam) as "W"
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | timechart span=1h count as W] 
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | timechart span=1h dc(signaler_id) as "Signal inc" ] 
| appendcols 
    [ search `index` earliest=@d+7h latest=@d+19h 
    | timechart span=1h count as "TEA"] 
| fillnull value=0 
| eval time=strftime(_time,"%H:%M") 
| sort time 
| fields - _time _span _origtime 
| transpose 0 header_field=time column_name=KPI 
| sort + KPI
0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

What’s New in Splunk AI: Volume 02

Welcome to the second edition of “What’s New in Splunk AI” where we look at the latest and greatest updates, ...

Splunk App Dev Quarterly Roundup: AI, Agents, and Innovation!

Another quarter, another wave of innovation. From complex integrations to pushing the limits ...

Value Insights: Now Generally Available in the CMC

Organizations are under pressure to move faster, control cost, expand AI adoption, and prove value with more ...