Hi,

I think the answer to this question is "use CQ", but it seems like an obvious 
use case so maybe I've overlooked a better solution:

I have series collected every minute detailing the number of users per service 
per region. Let's say the measurement is called online_users with tags service 
and region. A region can have more than one service.

I want to view the total number of users in a region in the last day:

SELECT sum(value) FROM online_users WHERE region='xyz' AND time > NOW() - 1d

I get my back expected results with 1 sample per minute with a sum of all users 
in all services in that region. All good so far.

When I use Grafana and want to let it choose an appropriate interval (say 10 
minutes), I would probably try this first:

SELECT sum(value) FROM online_users WHERE region='xyz' AND time > NOW() - 1d 
GROUP BY time(10m)

But this will give me the sum of all samples in that 10 minute period, 
effectively multiplying my results by 10. I could just divide by 10, but I 
don't have a way of conveniently being able to derive the number of expected 
samples per $interval.

I could also take the mean and multiply it by the number of services, but I 
don't think a COUNT(DISTINCT()) works on tags.

sum(mean()) gets thrown out by the parser.

As I mentioned, this is something I do commonly in other TSDBs so I'm hoping 
I'm missing something obvious.

Thanks!

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