I'm a complete novice to Splunk, so forgive me if the following is basic/doesn't make sense. I'm trying to reduce noise in the extracted results of a search by identifying and matching data in fields from time-unique events and grouping them/ listing them as one event if the criteria matches (i.e. if (fieldA, fieldB, fieldC) are the same between dateTime1 and dateTime2 for event_a and event_b (or any additional events), then list/table as a single event).
Hoping someone can help or point me in the right direction.
I think you are talking about removing duplicate when you are running the search based on fields fieldA, fieldB and FieldC.
You can use dedup command to achieve this like
<your_search> | dedup fieldA, fieldB, fieldC
Thanks for your answer! This is in the direction, but I'm trying to set a time-frame constraint in the sense that if fieldA, fieldB and fieldC are the same for event_a and event_ b in a 5 minute time period, list/table as one event; however, if fieldA, fieldB and fieldC are the same in event_a and event_b and the time difference between event_a and event_b is greater than 5 minutes, table them as separate events.
Something like this can work for you:
index=* | eventstats latest(_time) as lat , earliest(_time) as ear | eval Diff= lat - ear +1 | search Diff > 300 |append [search index=* | eventstats latest(_time) as lat , earliest(_time) as ear | eval Diff= lat - ear +1 |dedup fieldA, fieldB, fieldC | search Diff < 300]