Splunk Data Stream Processor

Test search with stats function "|inputlookup app_usage.csv | stats perc(Webmail, 10.0)"

athlonshi
Engager

New to Splunk and experimenting a couple of functionalities, especially data aggregation

With the experimental file app_usage.csv, I was trying to see the percentile of Webmail using 

|inputlookup app_usage.csv | stats perc(Webmail, 10.0)

but it returns error 

Percentile must be a floating point number that is >= 0 and < 100.

Not sure what to do, tried to cast Webmail to float also failed

|inputlookup app_usage.csv | eval Webmail=cast(Webmail, 'float')

with error

Error in 'eval' command: The 'cast' function is unsupported or undefined.

cast should be in the eval command, right? Based on the documentation. 

 

 

 

 

Labels (1)
0 Karma
1 Solution

ITWhisperer
SplunkTrust
SplunkTrust

I am not sure what the data that you are using is or what you are trying to get out of it but try

|inputlookup app_usage.csv | stats perc10(Webmail)

View solution in original post

ITWhisperer
SplunkTrust
SplunkTrust

I am not sure what the data that you are using is or what you are trying to get out of it but try

|inputlookup app_usage.csv | stats perc10(Webmail)

athlonshi
Engager

Just using the sample data to MLT and experimenting with it. Interesting that Splunk doc has perc as a stats function but it did not work. Yes, your way works. Thanks!

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

Splunk AI Assistant for SPL vs. ChatGPT: Which One is Better?

In the age of AI, every tool promises to make our lives easier. From summarizing content to writing code, ...

Data Persistence in the OpenTelemetry Collector

This blog post is part of an ongoing series on OpenTelemetry. What happens if the OpenTelemetry collector ...

Thanks for the Memories! Splunk University, .conf25, and our Community

Thank you to everyone in the Splunk Community who joined us for .conf25, which kicked off with our iconic ...