Splunk Search

Why are we having an appendcols issue?

simon1524
Explorer

There is something wrong with the data output by using apendcols. The data of Total_Actual is blank from 02-2022. But actually there has data all of months. May I know what's the reason..?

index=sourceA

PRIORITY="High" OR
PRIORITY="Medium" OR
PRIORITY="Low"
WAS_CRITICAL="yes"
| eval _time=strptime(FIRST_SOLVED_DATE,"%Y-%m-%d %H:%M:%S.%N")
| timechart span=1mon count as Total

| appendcols [search index=sourceA

PRIORITY="Critical"
| eval _time=strptime(FIRST_SOLVED_DATE,"%Y-%m-%d %H:%M:%S.%N")
| timechart span=1mon count as Total_Actual]
| eval Rate_%=round((Total_Actual/Total)*100, 2)
| table _time, Total, Total_Actual, Rate_%
| tail 12
| sort _time

OUTPUT

_time Total Total_Actual Rate_%
2021-07-01T00:00:00.000+0200 76 64 84.21
2021-08-01T00:00:00.000+0200 74 51 68.92
2021-09-01T00:00:00.000+0200 81 45 55.56
2021-10-01T00:00:00.000+0200 75 71 94.67
2021-11-01T00:00:00.000+0200 118 58 49.15
2021-12-01T00:00:00.000+0200 101 105 103.96
2022-01-01T00:00:00.000+0200 81 86 106.17
2022-02-01T00:00:00.000+0200 95    
2022-03-01T00:00:00.000+0200 85    
2022-04-01T00:00:00.000+0200 96    
2022-05-01T00:00:00.000+0200 106    
2022-06-01T00:00:00.000+0200 141    
Labels (1)
Tags (1)
0 Karma
1 Solution

VatsalJagani
SplunkTrust
SplunkTrust

@simon1524 - Try this query instead:

index=sourceA
| eval _time=strptime(FIRST_SOLVED_DATE,"%Y-%m-%d %H:%M:%S.%N")

| timechart span=1mon count(eval((PRIORITY="High" OR PRIORITY="Medium" OR PRIORITY="Low") AND WAS_CRITICAL="yes")) as Total, count(eval(PRIORITY="Critical")) as Total_Actual

| eval Rate_%=round((Total_Actual/Total)*100, 2)
| table _time, Total, Total_Actual, Rate_%
| tail 12
| sort _time

Single timechart command without appendpipe should give you the results.

This query is much more robust and performance effective.

 

I hope this helps!!! Karma/upvote would be appreciated!!!

View solution in original post

VatsalJagani
SplunkTrust
SplunkTrust

@simon1524 - Try this query instead:

index=sourceA
| eval _time=strptime(FIRST_SOLVED_DATE,"%Y-%m-%d %H:%M:%S.%N")

| timechart span=1mon count(eval((PRIORITY="High" OR PRIORITY="Medium" OR PRIORITY="Low") AND WAS_CRITICAL="yes")) as Total, count(eval(PRIORITY="Critical")) as Total_Actual

| eval Rate_%=round((Total_Actual/Total)*100, 2)
| table _time, Total, Total_Actual, Rate_%
| tail 12
| sort _time

Single timechart command without appendpipe should give you the results.

This query is much more robust and performance effective.

 

I hope this helps!!! Karma/upvote would be appreciated!!!

simon1524
Explorer

With your query the data shows correctly.

Thank you very much!!

0 Karma
Career Survey
First 500 qualified respondents will receive a $20 gift card! Tell us about your professional Splunk journey.

Can’t make it to .conf25? Join us online!

Get Updates on the Splunk Community!

Can’t Make It to Boston? Stream .conf25 and Learn with Haya Husain

Boston may be buzzing this September with Splunk University and .conf25, but you don’t have to pack a bag to ...

Splunk Lantern’s Guide to The Most Popular .conf25 Sessions

Splunk Lantern is a Splunk customer success center that provides advice from Splunk experts on valuable data ...

Unlock What’s Next: The Splunk Cloud Platform at .conf25

In just a few days, Boston will be buzzing as the Splunk team and thousands of community members come together ...