How do you group data in 5-minute windows?

[celianouguier]

I have several lines which look like :

2018-10-05 15:10:00.000, STEP="STEP1", VALUE="1965.00000", ZONE="CITY1", CODE="GOOD", DATE="201810051510"

I want to predict some fields with those lines. But first, I need to pre-process my data.
That's why I want to avg all the VALUE by every 5 minutes window and by STEP, ZONE, CODE.

I really don't know how to do this.

Here is an illustration. I want to transform something like :

2018-10-05 15:10:01.000, STEP="STEP1", VALUE=**"1965.00000"**, ZONE="CITY1", CODE="GOOD", DATE="201810051510"
2018-10-05 15:10:30.000, STEP="STEP1", VALUE=**"1546.00000"**, ZONE="CITY1", CODE="GOOD", DATE="201810051510"
2018-10-05 15:11:21.000, STEP="STEP1", VALUE=**"1452.00000"**, ZONE="CITY1", CODE="GOOD", DATE="201810051510"
2018-10-05 15:13:54.000, STEP="STEP1", VALUE=**"985.00000"**, ZONE="CITY1", CODE="GOOD", DATE="201810051510"

In one unique line per 5 minutes, STEP, ZONE, CODE something like :

2018-10-05 15:15:00.000, STEP="STEP1", VALUE=**"1487.00000"**, ZONE="CITY1", CODE="GOOD", DATE="201810051510"

Can you help me ?!

[kmorris_splunk]

Try something like this:

index="yourindex" sourcetype="yoursourcetype" 
| rex field=_raw "VALUE=\*\*\"(?<VAL>\d+\.\d+)\"\*\*" 
| bin span=5m _time 
| stats avg(VAL) as AVGVAL by _time STEP ZONE CODE 
| eval AVGVAL=round(AVGVAL,2)

I had to do the rex because Splunk was auto-extracting **"1965.00000"** instead of just 1965.00000 for the VALUE field. If you want 5 decimal places, just change the 2 in the last line to 5. Here is a screenshot of the results of this search: