Search for data in different indexes and only return data is ip filed is same in both

[jrprez1804]

index=notable |rename src as ip | stats count by ip
| JOIN type=inner ip [search index="abcd" "tags.Dev:"cluster1 OR index="abcd" "tags.Dev:"=cluster2
| stats count by ip]

if ip is in notable index and cluster1 return ip AND if ip in notable index and cluster2 return ip

[to4kawa · Accepted solution]

index=notable OR (index="abcd" ("tags.Dev:"cluster1 OR "tags.Dev:"=cluster2))
| eval ip=coalesce(src,ip) 
| stats count dc(index) as flag by ip 
| where flag > 1

Hi, @jrprez1804
This query searches two indexes and tallies by each ip.
That time, it is checked the indexes where the ip belongs.
and Excludes ips that belongs one index.

How about this?

[adonio]

hello there,

first, you can always do something like that: index=notable | stats count by src as ip_count | rename src as ip which will perform much better.
but now for your join question.
there are couple (or more) ways to achieve, but the overall idea is to first bring all the results to one place with a wider search, and then slice and dice as you wish. for example:

(index=notable src=*) OR (index="abcd" "tags.Dev:"cluster1 OR index="abcd" "tags.Dev:"=cluster2)
| eval normalized_ip = coalesce(ip,src)
| stats dc(index) as unique_indexes by normalized_ip
| where unique_indexes > 1

play around with the data after you capture all of it, and suite yourself with the approach you like. there are many ways to go about this one...

hope it helps

[to4kawa]

If I was thinking about the explanation, I was late.
The way is the same. 🙂