Esempio n. 1
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func bucketsFromMetricPoints(metricPoints []metricPoint, resultField func(metricPoint) float64, timerange api.Timerange) [][]float64 {
	buckets := make([][]float64, timerange.Slots())
	for _, point := range metricPoints {
		addMetricPoint(point, resultField, timerange, buckets)
	}
	return buckets
}
Esempio n. 2
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func addMetricPoint(metricPoint metricPoint, field func(metricPoint) float64, timerange api.Timerange, buckets [][]float64) bool {
	value := field(metricPoint)
	// The index to assign within the array is computed using the timestamp.
	// It floors to the nearest index.
	index := (metricPoint.Timestamp - timerange.Start()) / timerange.ResolutionMillis()
	if index < 0 || index >= int64(timerange.Slots()) {
		return false
	}
	buckets[index] = append(buckets[index], value)
	return true
}
Esempio n. 3
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func (value ScalarValue) ToSeriesList(timerange api.Timerange) (api.SeriesList, error) {

	series := make([]float64, timerange.Slots())
	for i := range series {
		series[i] = float64(value)
	}

	return api.SeriesList{
		Series:    []api.Timeseries{api.Timeseries{Values: series, TagSet: api.NewTagSet()}},
		Timerange: timerange,
	}, nil
}
Esempio n. 4
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func processResult(parsedResult queryResponse, timerange api.Timerange, sampler sampler) []float64 {
	// buckets are each filled with from the points stored in result.Values, according to their timestamps.
	buckets := bucketsFromMetricPoints(parsedResult.Values, sampler.fieldSelector, timerange)

	// values will hold the final values to be returned as the series.
	values := make([]float64, timerange.Slots())

	for i, bucket := range buckets {
		if len(bucket) == 0 {
			values[i] = math.NaN()
			continue
		}
		values[i] = sampler.bucketSampler(bucket)
	}
	return values
}
Esempio n. 5
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func processResult(
	points []metricPoint,
	timerange api.Timerange,
	sampler sampler,
	queryResolution Resolution) []float64 {
	// buckets are each filled with from the points stored in `points`, according to their timestamps.
	buckets := bucketsFromMetricPoints(points, sampler.fieldSelector, timerange)

	// values will hold the final values to be returned as the series.
	values := make([]float64, timerange.Slots())

	for i, bucket := range buckets {
		if len(bucket) == 0 {
			values[i] = math.NaN()
			continue
		}
		values[i] = sampler.bucketSampler(bucket)
	}

	// interpolate.
	return values
}