using the extract command manually on other field values

[sideview]

I've got a lot of CSV data that I'm indexing and for one of the fields in the csv, the values are themselves big jumbles of different fields joined together.

eg:
MLQK=3.5000;MLQKav=3.7370;MLQKmn=3.2782;MLQKmx=5.3000;ICR=0.0000;CCR=0.0003;ICRmx=0.0027;CS=1;SCS=0;MLQKvr=0.93

The extract command (aka kv), springs to mind but extract only runs against _raw as far as I know. Are there any good tricks to using extract with other fields besides _raw?

http://www.splunk.com/base/Documentation/latest/SearchReference/Extract

Right now I'm thinking of:

<my search> | rename _raw as _actualRaw | eval _raw=myCrazyField | extract | eval _raw=_actualRaw

but it seems really clunky and I thought maybe there's a better way.

[bwooden]

If you don't want to tackle it via conf - I'll see your clunky and raise you one (sans _raw)

| stats count 
| eval jumboField="MLQK=3.5000;MLQKav=3.7370;MLQKmn=3.2782;MLQKmx=5.3000;ICR=0.0000;CCR=0.0003;ICRmx=0.0027;CS=1;SCS=0;MLQKvr=0.93" 
| eval jumboField=replace(jumboField,"([^=]+)=([^;]+);?","<\1>\2</\1>") 
| xmlkv jumboField 
| fields - jumboField

[sideview]

Close. But the performance of xmlkv on the number of events I need, is pretty horrendous. In fact a nice little warning pops up in the 4.3 UI, telling me I'm insane to send this many events through xmlkv. 😃