Splunk Search

How to merge two fields and remove values that are identical in both?

karthik4455
Explorer

Escalated_Tickets Resolved_Tickets
4334
3453
5545
8438
7565
8948
8877
4675
9868
4334
3453
5568
5545
8438
6932
7565
8948
8877
1258
6589
4675
9868
What I need is the below output.
Tickets
5568
6932
1258
6589

Single output which will remove entries that are identical in Escalated_Tickets & Resolved_Tickets

Tags (2)
0 Karma

chris
Motivator

--- Updated (thanks aweitzman) ---

I am assuming that every line in your question is an event. You cant try this:

basesarch | eval ticket_id=coalesce(Escalated_Tickets,Resolved_Tickets) |  eval marker=case(isnull(Escalated_Tickets), "Resolved",isnull(Resolved_Ticket), "Escalated") | stats count dc(marker) as markers values(marker) by ticket_id  | where markers<2
  • The first eval will make sure that you have the same field name for your ticket ids
  • The marker eval will make sure, that if the same ticket is escalated or resolved multiple times it will not disappear

This might give you an idea for a solution:
http://blogs.splunk.com/2011/01/11/maintaining-state-of-the-union/

Chris

chris
Motivator

I updated the answer

0 Karma

chris
Motivator

Ouch I didn't think about that you're right

0 Karma

aweitzman
Motivator

I don't think this is quite good enough, since it won't handle the case where there is more than one anomalous Resolved_Tickets number of the same value. In other words, if "6932" was instead "6589" these searches would eliminate them both.

I think the solution might involve writing subsearches to retrieve each column separately, and then using set diff to come up with the difference between the two. Not ideal from a performance perspective, but it should be more accurate.

Get Updates on the Splunk Community!

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 ...

Data Management Digest – November 2025

  Welcome to the inaugural edition of Data Management Digest! As your trusted partner in data innovation, the ...