Monitoring Splunk

performance characteristics of dedup command

Contributor

I'm thinking about using the DEDUP commend to solve the following problem: I have an event with an ID field and I'd like to show only the latest event matching each unique ID value. In most cases all the events with the same ID will be near each other (in time) but they won't be adjacent.

First, is DEDUP the right command to use in this scenario?

Second, how can I ensure that DEDUP (or whatever command is best for this) performs optimally? I have control over all aspects of the data (what fields are emitted, index-time vs. search-time fields, etc.) other than how many events are generated and I have limited control over the size of each event.

1 Solution

Splunk Employee
Splunk Employee

Yes, DEDUP is right. Be sure to use its SORTBY clause, otherwise it won't do what you want! (And tell SORTBY whether the ID is str, num, or ip.)

To improve performance, try extracting the ID field, and giving its value to sourcetype or host attribute. Then, index as few other fields as possible.

Finally, if you can limit scope of the query time-wise, with earliest or such, please do that to help performance.

View solution in original post

Splunk Employee
Splunk Employee

Yes, DEDUP is right. Be sure to use its SORTBY clause, otherwise it won't do what you want! (And tell SORTBY whether the ID is str, num, or ip.)

To improve performance, try extracting the ID field, and giving its value to sourcetype or host attribute. Then, index as few other fields as possible.

Finally, if you can limit scope of the query time-wise, with earliest or such, please do that to help performance.

View solution in original post