On Thursday, September 22, 2016 at 11:46:52 PM UTC+5:30, [email protected]
wrote:
> Three consecutive times means for 6 minutes total so:
>
>
> stream
> |from()
> .measurement('m')
> |window()
> .period(2m)
> .every(2m)
> |max('value')
> |window()
> .period(6m)
> .every(6m)
> |alert()
> .crit(lambda: "max" >= threshold)
> // mark that all points need to match the criteria
> // in order to trigger the alert.
> .all()
>
>
>
> On Thursday, September 22, 2016 at 2:54:22 AM UTC-6, guotao Yao wrote:
>
>
>
> I have a scenario like the next:
> Evaluate the max value every 2 minutes, if the max value greater than a
> threshold three consecutive times, alert will be triggered.
>
>
> How can I write the tick script?
>
>
> Thanks!
>
> 在 2016年9月21日星期三 UTC+8下午10:49:09，[email protected]写道：
> All data that is within the time now - period will be emitted into the
> pipeline. This means data can be emitted more than once if the period is
> longer than every.
>
> On Wednesday, September 21, 2016 at 12:08:02 AM UTC-6, guotao Yao wrote:
> Hi all,
>
>
> I have some confusions when I use kapacitor window node,
>
>
> 1. the every property define how ofen the data is emitted into the pipeline.
> But, I want to know whether all data during the time will be emitted
> into the pipeline, or is it just a data will be emitted into the pipeline.
>
>
>
>
> Thanks!
Hello,
Is there any way we can do the above this in batch?
My use case is sort of similar, and your above script helped.
I want to find the sum of a field for a given window (lets say window of 1
hour), and then take the mean of last n windows.
I am using this :
var frequency = 15m
var window_size = 2h
var baseline = stream
|from()
.measurement('mm')
.groupBy('t1', 't2')
|window()
.period(frequency)
.every(frequency)
|sum('count')
|window()
.period(window_size)
.every(frequency)
var baseMean = baseline
|mean('sum')
.as('mean')
var baseStddev = baseline
|stddev('sum')
.as('stddev')
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