Splunk Search

Splunk Query not working as expected

Sunny
Observer

Hi

Using following query:

`mbp_ocp4` kubernetes.container.name =*service* level=NG_SERVICE_PERFORMANCE SERVICE!=DPTDRetrieveArrangementDetail* | eval resp_time_exceeded = if(EXETIME>3000, "1","0")

|bin span=30m _time bins=2

| stats count as "total_requests", sum(resp_time_exceeded) as long_calls by kubernetes.namespace.name, kubernetes.container.name

| eval Percent_Exceeded = (long_calls/total_requests)*100

| where total_requests>200 and Percent_Exceeded>5

 

Getting results as shown below:

I use the following IN THE CODE ABOVE

|bin span=30m _time bins=2

BUT NOT GETTING so that the data is shown in 30 minutes increments?

How can I refine the query so that it shows 30 minute increments instead of all  at once?

Screenshot 2024-01-25 123918.png

Labels (2)
0 Karma

ITWhisperer
SplunkTrust
SplunkTrust

You have bin'd _time but not included it in the by clause of your stats command

0 Karma

Sunny
Observer

Hi ITwhispper,

 

Thanks for getting back!!

Can you show what you mean in terms of where to add what you are saying?

 

Thanks

 

0 Karma

yuanliu
SplunkTrust
SplunkTrust

@ITWhisperer suggests to add it to the by clause. (Also known as groupby in Splunk lingo.) Literally just added it after by.  Something like

`mbp_ocp4` kubernetes.container.name =*service* level=NG_SERVICE_PERFORMANCE SERVICE!=DPTDRetrieveArrangementDetail* | eval resp_time_exceeded = if(EXETIME>3000, "1","0")

|bin span=30m _time bins=2

| stats count as "total_requests", sum(resp_time_exceeded) as long_calls by _time kubernetes.namespace.name, kubernetes.container.name

| eval Percent_Exceeded = (long_calls/total_requests)*100

| where total_requests>200 and Percent_Exceeded>5

  

0 Karma
Get Updates on the Splunk Community!

Data Management Digest – December 2025

Welcome to the December edition of Data Management Digest! As we continue our journey of data innovation, the ...

Index This | What is broken 80% of the time by February?

December 2025 Edition   Hayyy Splunk Education Enthusiasts and the Eternally Curious!    We’re back with this ...

Unlock Faster Time-to-Value on Edge and Ingest Processor with New SPL2 Pipeline ...

Hello Splunk Community,   We're thrilled to share an exciting update that will help you manage your data more ...