Hi all,
We're currently parsing our radius logs into InfluxDB with the aim of
getting an idea of how "busy" our routers are. We currently get
measurements on when devices log out/in/update with the access points, and
from that we're trying to measure how many concurrent sessions each access
point has at any given time.
We have a measurement like
time ap device
event person
---- -- ------
-------- ------
1481065220440122880 24A43C5BA461 2c3acbb5c9ee4bfd45d86dd07fc717a9
login c07a66088d7aa5aa94a18dd02d33c8e6
where "ap" is an accesspoint, which is a tag.
So far I've done "select count(distinct(person)) from connected" but that's
very sensitive to the time slice I group by. We assume a device starts a
session when there's no session going for that device, and we find a
login/update event, and a session ends at either a logout event for that
device or no update/login event for two minutes.
Any suggestions on how best to get this data from InfluxDB? Even if it
means our schema should change?
Thanks,
Emile
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