Knowledge Management

What does bin _time span does here?

sangs8788
Communicator

Hi,

I am having a bit of difficulty understanding what does bin _time span does here. Below is query shared in splunk community to find request per min by OrgName per day

index=data earliest = -1d| bin _time span=1d
 | streamstats count as Req by OrgName, _time
 | eval requestsPerMin=Req/24/60
 | eval requestsPerSec=requestsPerMin/60
 | stats avg(requestsPerMin) as avgRequestPerSec, max(requestsPerMin) as peakRequestPerMin by OrgName, _time

My confusion here is what bin _time span does. I want to find requestPerMin for Last week and month wise too. Could you someone explain how it can be done?

0 Karma
1 Solution

teunlaan
Contributor

With bin _time span you force the _time to be a full day.
So with | bin _time span=1d you get your stats count split by day.

It you want a report it over a week, just do span=1w a moth is span=1mon (do also change the earlies= value )

View solution in original post

0 Karma

teunlaan
Contributor

With bin _time span you force the _time to be a full day.
So with | bin _time span=1d you get your stats count split by day.

It you want a report it over a week, just do span=1w a moth is span=1mon (do also change the earlies= value )

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!

Index This | What travels the world but is also stuck in place?

April 2026 Edition  Hayyy Splunk Education Enthusiasts and the Eternally Curious!   We’re back with this ...

Discover New Use Cases: Unlock Greater Value from Your Existing Splunk Data

Realizing the full potential of your Splunk investment requires more than just understanding current usage; it ...

Continue Your Journey: Join Session 2 of the Data Management and Federation Bootcamp ...

As data volumes continue to grow and environments become more distributed, managing and optimizing data ...