Thank you for your response.

I might have been wrong on the terminology, what I mean is that the *fields* 
in the measurements get renamed to first, first_1, first_2 etc. Which is a 
problem since my queries relies on them and I want to use the same/similar 
queries for downsampled data.

This is an example of my data:
snr_stat
timecrc_failuresmacnamesnr_nccsnr_rt
2016-05-19T06:56:58Z 1987 "40001" "Pivatn" 144 24
2016-05-19T06:56:58Z 1822 "40002" "Nowuxvatn" 155 250
2016-05-19T06:56:59Z 1987 "40001" "Pivatn" 145 24
2016-05-19T06:56:59Z 1822 "40002" "Nowuxvatn" 154 250My problem is that 
"SELECT first(mac), first(crc_failures), first(snr_ncc), first(snr_rt) FROM 
rt_stats."default".snr_stat WHERE time > now() - 7m GROUP BY time(1m)" 
returns: 

snr_stat
timefirstfirst_1first_2first_3
2016-08-12T08:57:00Z 
4535 225 87
2016-08-12T08:58:00Z 
4538 230 93
2016-08-12T08:59:00Z 
4539 228 102and as you see, I've now lost the original fields names, which 
are now replaced by "first", "first_1" etc.

Another problem is that the "first()" operator does only work on numerals, 
not strings...

I really hope that there is a solution to this, any help would be highly 
appreciated.


Kind regards, Peter


fredag 12. august 2016 00.08.58 UTC+2 skrev Sean Beckett følgende:
>
> Did you include a "GROUP BY *" clause in the CQ? That should preserve all 
> tags. The AS keyword is used to rename items in the SELECT clause. There's 
> no need to put the tags in the SELECT clause if you are using GROUP BY *.
>
> On Thu, Aug 11, 2016 at 1:32 AM, <[email protected] <javascript:>> 
> wrote:
>
>> Quick question Sean. I made an CQ like the one you mention, but my 
>> problem now is that the tags end up like:
>> first_1first_2first_3Ideally I would want the data, and tags to be just 
>> like the source, just with lower resolution? Is that possible? (I did try 
>> the "as" operator and the tag name, but that did not work.)
>>
>> Regards,
>> Peter
>>
>> tirsdag 2. august 2016 20.09.24 UTC+2 skrev Sean Beckett følgende:
>>>
>>> There are no query language operators or functions that select points 
>>> based on ordinality. The best current solution to your need is to use a CQ, 
>>> which won't introduce noticable additional storage or load, unless you are 
>>> running on a very low power device.
>>>
>>> CREATE CQ...
>>>  SELECT FIRST(value) AS "60th_point" INTO bar FROM foo GROUP BY 
>>> time(1m), *
>>> END
>>>
>>> That will store the point from xx:xx:00 in the new "bar" measurement.
>>>
>>> On Tue, Aug 2, 2016 at 8:19 AM, <[email protected]> wrote:
>>>
>>>> Hi guys,
>>>>
>>>> I'm trying to figure out how to query every n-th value of a time series 
>>>> measurement? Lets say that I store a point every second, and later want to 
>>>> query every 60th point from time x to time y?
>>>>
>>>> I've seen there are CQs that can make the downsampled data, but for my 
>>>> use case it does not make sense since it will only add to more load and 
>>>> storage being used. Performance wise it shouldn't be any harder/slower 
>>>> either to query 100 point that are not adjacent compared to 100 that are, 
>>>> or am I wring here?
>>>>
>>>> Thanks,
>>>> Peter
>>>>
>>>> -- 
>>>> Remember to include the InfluxDB version number with all issue reports
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>>>> .
>>>> For more options, visit https://groups.google.com/d/optout.
>>>>
>>>
>>>
>>>
>>> -- 
>>> Sean Beckett
>>> Director of Support and Professional Services
>>> InfluxDB
>>>
>> -- 
>> Remember to include the InfluxDB version number with all issue reports
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>> For more options, visit https://groups.google.com/d/optout.
>>
>
>
>
> -- 
> Sean Beckett
> Director of Support and Professional Services
> InfluxDB
>

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