It's not possible to predict accurately how much RAM you will need, but
with 4 million series (roughly a day of unique user and AP ids) you would
need something on the order of 32-64GB for the system to be healthy.
http://docs.influxdata.com/influxdb/v1.1/guides/hardware_sizing/

 With 30k users and 7.5k APs, the theoretical max series is about 225
million, which is current infeasible, although much work is being done to
allow for cardinalities up to 1 billion. We expect the 1.2 release to have
the experimental version of the new index.

You can also shard the series across data nodes in our commercial
clustering offering. With a 4 node cluster, doubly replicated, each node
only handles half the series cardinality. With a 10 node cluster, doubly
replicated, each node only handles 1/5th of the series cardinality.

Do you need to GROUP BY both users and APs? Perhaps there's a way to
structure your queries so that one or the other can be a field and not a
tag.

On Fri, Nov 18, 2016 at 8:02 AM, <emiliano.he...@han.nl> wrote:

> Op dinsdag 15 december 2015 02:16:02 UTC+1 schreef Sean Beckett:
> > If you have highly dynamic data, that should be stored as a field, not a
> tag. That makes it impossible to use with GROUP BY clauses, however, which
> I suspect is a non-starter for you.
>
> Is there a way to guesstimate the memory requirements from the
> cardinality? We're looking to analyse how people flow through our building
> by analysing our radius logs. From these, we get a measurement approx every
> 30 seconds per user that couples a user (or device) to an access point.
> Picking a random day from the logs puts us at 7.5k access points to which
> some 500 users connected. That'd get us a cardinality of about 3.75M...
> that's not going to end well I take it then. If we broaden the sample,
> we're likely to approach 30k users over the lifetime of the analysis.
>
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-- 
Sean Beckett
Director of Support and Professional Services
InfluxDB

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