Brilliant, thank you! I should have been clever enough to have figured
that out. Silly me!
On Wednesday, October 12, 2016 at 12:23:58 PM UTC-7, Sean Beckett wrote:
> You want the FOR clause, which will cause the CQs to recalculate prior
> intervals and pick up any newly written points in those intervals.
> CREATE CONTINUOUS QUERY foo ON db
> RESAMPLE EVERY 20s *FOR 2m *
> SELECT median(aa) AS aa INTO foomeas FROM barmeas GROUP BY time(20s),*
> Note that the GROUP BY time offset just moves the beginnings of the
> buckets, delaying the query execution time is just a side effect. I've
> removed it from the query.
> On Wed, Oct 12, 2016 at 10:43 AM, Michael C <yoyom...@gmail.com
>> I was wondering if someone out there could offer some advice on setting
>> up a CQ for my system. It would appear CQs might not be powerful enough to
>> accomplish what i'm after, but im still new-ish to influx so maybe im wrong?
>> I have a system where multiple nodes out in the world transmit packets of
>> data once per minute, that contain 60 samples each, 1 for each second. The
>> data is received and stored in influxdb. Note that this packet of 60
>> samples from a given node could be received at any time over the minute.
>> Thus, from influx's perspective there could be up to 1 minute of latency
>> before receiving the next 60 seconds of data with respect to the start of
>> each new minute.
>> With this set up, I would like to have a CQ perform a 20second median on
>> the second by second data.
>> However it would seem that the latency of my system poses a problem to CQ
>> usage. It would seem that CQ's need to execute within the vicinity of
>> now() and for my case would occur on a 20second clock boundary. Given my
>> setup, there would be many cases where the data simply hasnt arrived yet
>> when the query ran due to my 1 minute latency. I tried adding an offset in
>> the GROUP BY time(), but this doesnt seem to work (as expected after
>> reading the docs,
>> Below is an example of one of the many queries I have tried:
>> CREATE CONTINUOUS QUERY foo ON db RESAMPLE EVERY 20s BEGIN SELECT
>> median(aa) AS aa INTO foomeas FROM barmeas GROUP BY time(20s, -60s),* END
>> Is there any way to make CQs work with my system given the latency?
>> I suspect it would work if I were computing 5 minute medians as I could
>> then offset by -1m, but that is not what i'm after. Or maybe im confused.
>> Any advice would be much appreciated!
>> Remember to include the version number!
>> You received this message because you are subscribed to the Google Groups
>> "InfluxData" group.
>> To unsubscribe from this group and stop receiving emails from it, send an
>> To post to this group, send email to infl...@googlegroups.com
>> Visit this group at https://groups.google.com/group/influxdb.
>> To view this discussion on the web visit
>> For more options, visit https://groups.google.com/d/optout.
> Sean Beckett
> Director of Support and Professional Services
Remember to include the version number!
You received this message because you are subscribed to the Google Groups
To unsubscribe from this group and stop receiving emails from it, send an email
To post to this group, send email to email@example.com.
Visit this group at https://groups.google.com/group/influxdb.
To view this discussion on the web visit
For more options, visit https://groups.google.com/d/optout.