Splunk Search

Generate Rolling Summation


I have a set of data that has one event for ever second, with a field for the number of simultaneous phone calls going on each second. (Here is more background.) E.g.:

   Time                       Concurrency
10/25/2010 00:00:00    0
10/25/2010 00:00:01    0
10/25/2010 00:00:02    0
10/25/2010 00:00:03    0
10/25/2010 13:01:01    7
10/25/2010 13:01:02    8
10/25/2010 13:01:03    8

What I want to get out of the data is what is the 60 minute period of time with the highest sum(Concurrency). Looking simply, I could do a | stats sum(Concurrency) as HourlySum by date_hour | stats max(HourlySum). The only problem there is that it cuts the window directly along 00:00-59:59 minute periods. If the busiest period of time is 13:22:00-14:21:59, it wouldn't be properly represented.

Is there any way to do a rolling average, so I could get the data I need out of it?

Tags (1)

Re: Generate Rolling Summation


Here's your search:

<your search> | bucket _time span=1min | streamstats sum(Concurrency) as rollingSum window=60 | sort - rollingSum

The bucket will normalize all the data to minute boundaries. Essentially it just throws away the seconds and subseconds values.

Then the streamstats command just keeps a rolling sum of the past 60 rows (including the current row).

Then just sort descending on rollingSum and that's your busiest 60 minute period.

some references:



View solution in original post


Re: Generate Rolling Summation


Huzzah! That solved it! Thanks, sir.

0 Karma
Speak Up for Splunk Careers!

We want to better understand the impact Splunk experience and expertise has has on individuals' careers, and help highlight the growing demand for Splunk skills.