Importing CSV file without a header

[AnujaJ]

I have a "!" seperated file without a header. I want to import it in Splunk. However Splunk by default takes the first event as the header and all other events below. I want to manually name the fields in the sourcetype. I was wondering if this is possible.

So far, my sourcetype looks like this:

[ ca_csv ]
SHOULD_LINEMERGE=true
LINE_BREAKER=([\r\n]+)
NO_BINARY_CHECK=true
CHARSET=UTF-8
DELIMS=!
FIELDS=a1,a2,a3,a4,a5
FIELD_DELIMITER=!
category=Custom
disabled=false
pulldown_type=true
CHECK_FOR_HEADER=False

However, this does not rename the fields as a1,a2,a3,a4,a5. I have 5 fields per event.

Sample data

L01!0112!11493!20191111000012!1149385630101120002012812019111032019111020191110690952404800415;201911
L02!0112!11493!20191111000012!0003M00BF000001010020191111000012D823AIB000000bR0FFF0001
L03!0112!114938563!20191111000013!0003M0036010001000020191110230005D823O07F L04!0112!114938563!20191111000014!025092664050002011201281201911111000114

[gfreitas]

I believe you can use transforms.conf for that. See this link: https://answers.splunk.com/answers/170251/how-to-extract-two-fields-separated-by-delimiter-c.html

props.conf would look like:

[ca_csv]
SHOULD_LINEMERGE=true
LINE_BREAKER=([\r\n]+)
NO_BINARY_CHECK=true
CHARSET=UTF-8
category=Custom
disabled=false
pulldown_type=true
REPORT-fields=csv_fields

Then on transforms.conf

[csv_fields]
DELIMS = !
FIELDS = a1,a2,a3,a4,a5

[AnujaJ]

I am uploading the file manually for testing but these settings do not work. Also without FIELD_DELIMITER there is no recognition of different fields. Is it possible to see the effect on manually uploaded file?

[gfreitas]

This REPORT-fields will work on search time. Try to create a temporary index and import the file with those settings and see if it works. I tried on my lab and seems to work fine.

[niketn]

@AnujaJ will it be possible to add some sample data with couple of rows for the community to assist you better. Please mock/anonymize any sensitive information. Splunk does allow you to provide your own set of comma separated field names instead of using header row.