Splunk Enterprise

How to remove everything BEFORE the second comma AND before indexing?

newsplunker1
Path Finder

I have the following events 

<190>May 4 20:20:36 data.test.com 1,2023/05/04 20:20:35,013001101002958,test,end,2305,2023/05/04

I want to remove everything before the second comma (including the  comma)

Since i dont want it to be indexed , im using the props and transforms on my HF to do that . My regex seems to work but when i try to implement it ,it does not filter anything 

props.conf

[source::/var/log/splunk/IP/syslog.log]
TRANSFORMS-null = remove_before_comma

transforms.conf

[remove_before_comma]
REGEX = ^([^,]*,[^,]*),
DEST_KEY = queue
FORMAT = nullQueue

Here is the regex 

https://regex101.com/r/Lxqgue/1

Any idea why this is not working properly 

Thanks 

Labels (3)
Tags (3)
0 Karma
1 Solution

richgalloway
SplunkTrust
SplunkTrust

The existing transform moves any event that matches the regex to nullQueue.  Try these settings to re-write the event.

[remove_before_comma]
REGEX = ^([^,]*,[^,]*),(.*)
DEST_KEY = _raw
FORMAT = $2
---
If this reply helps you, Karma would be appreciated.

View solution in original post

0 Karma

richgalloway
SplunkTrust
SplunkTrust

The existing transform moves any event that matches the regex to nullQueue.  Try these settings to re-write the event.

[remove_before_comma]
REGEX = ^([^,]*,[^,]*),(.*)
DEST_KEY = _raw
FORMAT = $2
---
If this reply helps you, Karma would be appreciated.
0 Karma

newsplunker1
Path Finder

@richgalloway That seems to do the trick ( I ll mark yours as the asnwer ) - Do you have any idea on how to use SED to replace the strings before the comma with a number lets say 0 for example 

this is the original event 

<190>May 4 20:20:36 data.test.com 1,2023/05/04 20:20:35,013001101002958

 

becomes like

0,0,013001101002958

0 Karma

richgalloway
SplunkTrust
SplunkTrust

SED is search-time rather than index-time, but you could do it with this props:

SEDCMD-replaceUpToComma = s/^([^,]*,[^,]*),/0/
---
If this reply helps you, Karma would be appreciated.
0 Karma
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