Splunk Search

How to combine multiple separate fields into one for graphing purposes

hapalmiter
New Member

2017-09-12 12:31:11.817 INFO [RunMaster]
stats: jif: 1, fif: 9, fim: 192, f2c: 183
paper: pc: 9129, uwr: n/a, rwr: n/a
side-a: fa: 0, fmq: 0, fq: 0, fp: 96, #r: 49, frs: 0, f2f ms: 101, fb100 0.00
side-b: fa: 0, fmq: 0, fq: 9, fp: 87, #r: 49, frs: 0, f2f ms: 101, fb200 0.00

I want to pull out the values for fa, fmq, fq, and fp, but also associate them with either side-a or side-b. I want to be able to graph the these values side by side while also showing side-a vs side-b.

Currently I can pull out one sides info into separate fields using this regex: "[.\n]*side-a:\sfa:\s(?\d+),\sfmq:\s(?\d+),\sfq:\s(?\d+),\sfp:\s(?\d+)"

I tried also setting this regex equal to side-a but got no results. Any suggestions on how I am do this?

Thanks.

0 Karma
1 Solution

rphillips_splk
Splunk Employee
Splunk Employee

something like this might be what you're looking for:

index=main source="*mylog.log" host="xyz" | rex field=_raw "side-a: fa:\s+(?<side_a_fa>\d+)\,\s+fmq:\s+(?<side_a_fmq>\d+)\,\s+fq:\s+(?<side_a_fq>\d+)\,\s+fp:\s+(?<side_a_fp>\d+)\,\s+\#r:\s+(?<side_a_r>\d+)\,\s+frs:\s+(?<side_a_frs>\d+)\,\s+f2f\s+ms:\s+(?<side_a_f2f_ms>\d+)\,\s+fb100\s+(?<side_a_fb100>\S+)" | rex field=_raw "side-b:\s+fa:\s+(?<side_b_fa>\d+)\,\s+fmq:\s+(?<side_b_fmq>\d+)\,\s+fq:\s+(?<side_b_fq>\d+)\,\s+fp:\s+(?<side_b_fp>\d+)\,\s+\#r:\s+(?<side_b_r>\d+)\,\s+frs:\s+(?<side_b_frs>\d+)\,\s+f2f\s+ms:\s+(?<side_b_f2f_ms>\d+)\,\s+fb200\s+(?<side_b_fb200>\S+)" | timechart span=1m max(side_a_fa) as "1-side_a_fa" max(side_b_fa) as "1-side_b_fa" max(side_a_fmq) as "2-side_a_fmq" max(side_b_fmq) as "2-side_b_fmq" BY host

View solution in original post

0 Karma

rphillips_splk
Splunk Employee
Splunk Employee

alt text

0 Karma

rphillips_splk
Splunk Employee
Splunk Employee

something like this might be what you're looking for:

index=main source="*mylog.log" host="xyz" | rex field=_raw "side-a: fa:\s+(?<side_a_fa>\d+)\,\s+fmq:\s+(?<side_a_fmq>\d+)\,\s+fq:\s+(?<side_a_fq>\d+)\,\s+fp:\s+(?<side_a_fp>\d+)\,\s+\#r:\s+(?<side_a_r>\d+)\,\s+frs:\s+(?<side_a_frs>\d+)\,\s+f2f\s+ms:\s+(?<side_a_f2f_ms>\d+)\,\s+fb100\s+(?<side_a_fb100>\S+)" | rex field=_raw "side-b:\s+fa:\s+(?<side_b_fa>\d+)\,\s+fmq:\s+(?<side_b_fmq>\d+)\,\s+fq:\s+(?<side_b_fq>\d+)\,\s+fp:\s+(?<side_b_fp>\d+)\,\s+\#r:\s+(?<side_b_r>\d+)\,\s+frs:\s+(?<side_b_frs>\d+)\,\s+f2f\s+ms:\s+(?<side_b_f2f_ms>\d+)\,\s+fb200\s+(?<side_b_fb200>\S+)" | timechart span=1m max(side_a_fa) as "1-side_a_fa" max(side_b_fa) as "1-side_b_fa" max(side_a_fmq) as "2-side_a_fmq" max(side_b_fmq) as "2-side_b_fmq" BY host

0 Karma

hapalmiter
New Member

This is very helpful! How do I modify it if want every individual event at the time it occurs not the max for a given time interval?

For example I am running this search:

index=pwp-prod press=MP230 stats | rex "[.\n]*side-a:\sfa:\s(?\d+),\sfmq:\s(?\d+),\sfq:\s(?\d+),\sfp:\s(?\d+)" | timechart max(side_a_fa) as "side_a_fa" max(side_a_fq) as "side_a_fq" max(side_a_fp) as "side_a_fp" by event

But some of the events where this is present occur in different time intervals and just want to capture each individual occurrence of this stats block. That is why I added the 'by event' but I am unsure this is what I want.

0 Karma

rphillips_splk
Splunk Employee
Splunk Employee

I'm not completely sure I understand what you want the output to look like but you could use values instead of max,min,avg
reduce your span if you are seeing multiple values within one timespan

...| timechart span=1m values(side_a_fa) as "1-side_a_fa" values(side_b_fa) as "1-side_b_fa" values(side_a_fmq) as "2-side_a_fmq" values(side_b_fmq) as "2-side_b_fmq" BY host

0 Karma

richgalloway
SplunkTrust
SplunkTrust

Can you describe what you want the final results to look like?
If you're using the regex at search time you can use two regex commands to extract side-a and side-b fields (with different field names).

---
If this reply helps you, Karma would be appreciated.
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!

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 ...

Introducing Splunk 10.0: Smarter, Faster, and More Powerful Than Ever

Now On Demand Whether you're managing complex deployments or looking to future-proof your data ...