Splunk Search

Given a Multiline Event, Can I Create a KV Fields from each row?

mzorzi
Splunk Employee
Splunk Employee

I have some log like following:

13:47:04 -2 receive request [type=0|desc=TimeStamp] <---event one
| [8 ] [BCA3.5]
| [9 ] [56]
| [35 ] [0]
| [49 ] [UBDHKH]
| [56 ] [LEHUBAUS]
| [34 ] [1709]
| [52 ] [20100512-05:47:05]
| [10 ] [182]
13:47:03 -2 sending request [type=0|desc=Request Change] <---event two
| [35 ] [0]
| [57 ] [INADM]
| [56 ] [UBDHKH]
| [49 ] [LEHUBAUS]
| [34 ] [2179]
| [52 ] [20100512-05:47:03]
| [8 ] [BCA3.5]
| [9 ] [0065]
| [10 ] [041]
........

The number of the left hand side is some meaningful code internally, I want to use left hand side as fields and it is the value for right hand side.

I've tried to extract the fields using REPORT- in props.conf, but the REPEAT_MATCH=true seems not working on Search-extracted fields and also a FORMAT value like : FORMAT=fields_$1::$2 is not correctly recognized.

1 Solution

gkanapathy
Splunk Employee
Splunk Employee

Correct, unfortunately search-time extractions won't let you do anything more exotic than $1::$2 to map keys and values. However, you can actually use numbers as field names (it probably gets ambiguous syntactically for some commands, but you can deal with those ad hoc). Just add CLEAN_KEYS = false to your transforms.conf stanza, and use $1::$2 to create KV pairs, and you'll wind up with fields named 35, 10, etc.

View solution in original post

gkanapathy
Splunk Employee
Splunk Employee

Correct, unfortunately search-time extractions won't let you do anything more exotic than $1::$2 to map keys and values. However, you can actually use numbers as field names (it probably gets ambiguous syntactically for some commands, but you can deal with those ad hoc). Just add CLEAN_KEYS = false to your transforms.conf stanza, and use $1::$2 to create KV pairs, and you'll wind up with fields named 35, 10, etc.

Get Updates on the Splunk Community!

Index This | Why did the turkey cross the road?

November 2025 Edition  Hayyy Splunk Education Enthusiasts and the Eternally Curious!   We’re back with this ...

Enter the Agentic Era with Splunk AI Assistant for SPL 1.4

  &#x1f680; Your data just got a serious AI upgrade — are you ready? Say hello to the Agentic Era with the ...

Feel the Splunk Love: Real Stories from Real Customers

Hello Splunk Community,    What’s the best part of hearing how our customers use Splunk? Easy: the positive ...