Getting Data In

Multiple fields to filter against Single inputlookup file

gopiven
Explorer

Hi Experts

Actually I am searching on one index, where Userid is with multiple fields like user,userids,useridvalue,user_id etc., on the events ( since it is from multiple source types). And I want to check this ids against one input lookup that contains all the Userid (only one column in lookup) and table it.
But it is not working for me. Since I am new to this platform could someone assist me please.

index= "user_prod" [ input lookup Userid.csv |rename user as Userid | rename userids as Userid | rename useridvalue as Userid | rename user_id as Userid | fields Userid ] | table Userid

Please note: inputlookup filename name and inside column name are similar - Userid

Thanks in advance!

0 Karma
1 Solution

jpolvino
Builder

One way to do this would be to use a case statement to translate into a common field name that is used in your lookup. For example:

index="user_prod"
| eval Userid=case(sourcetype=="type1",user,sourcetype=="type2",userids,sourcetype=="type3",useridvalue)
| lookup Userid.csv Userid AS Userid
| table Userid

View solution in original post

0 Karma

jpolvino
Builder

One way to do this would be to use a case statement to translate into a common field name that is used in your lookup. For example:

index="user_prod"
| eval Userid=case(sourcetype=="type1",user,sourcetype=="type2",userids,sourcetype=="type3",useridvalue)
| lookup Userid.csv Userid AS Userid
| table Userid
0 Karma

gopiven
Explorer

Thanks jpolvino !
It works now!

0 Karma
Get Updates on the Splunk Community!

Data Management Digest – December 2025

Welcome to the December edition of Data Management Digest! As we continue our journey of data innovation, the ...

Index This | What is broken 80% of the time by February?

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

Unlock Faster Time-to-Value on Edge and Ingest Processor with New SPL2 Pipeline ...

Hello Splunk Community,   We're thrilled to share an exciting update that will help you manage your data more ...