I've got a series of events with a timestamp and two numbers, like so:
"2011-05-29 22:54:06",68,31
"2011-08-15 10:20:33",143,76
"2011-09-15 10:56:09",63,27
"2011-09-20 20:32:15",0,0
"2011-08-20 09:23:19",0,3
The two numbers represent "success" and "failure" counts for a specific event. What I'd like to be able to sort out are stats for each of the numeric series as well as the ratio between success/failure over time.
Average, min, max, stddev and counts over time for "success".
Average, min, max, stddev and counts over time for "failure"
Success/failure ratio over time.
I've been banging away on this for some time, but I don't seem to be able to extract two numeric series from the same sequence of events. Am I running into a known limit?
http://docs.splunk.com/Documentation/Splunk/4.3/User/ReportOfMultipleDataSeries
If there's no way to do what I'm after with the data in the current format, would I be better off restructuing the data to make it easier to work with using eval()?
"2011-05-29 22:54:06",success,68
"2011-08-15 10:20:33",success,143
"2011-09-15 10:56:09",success,63
"2011-09-20 20:32:15",success,0
"2011-08-20 09:23:19",success,0
"2011-05-29 22:54:06",failure,31
"2011-08-15 10:20:33",failure,76
"2011-09-15 10:56:09",failure,27
"2011-09-20 20:32:15",failure,0
"2011-08-20 09:23:19",failure,3
The example above is a simple case - two fields with numbers I'd like to trend and compare - and is just a starting point. I have more complex requirements but have to get the basics down before tackling anything harder.
Thanks for any help or suggestions.
... View more