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otlp: Document regular and exponential histogram conversions

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Signed-off-by: Arve Knudsen <arve.knudsen@gmail.com>
This commit is contained in:
Arve Knudsen 2024-07-01 13:35:40 +02:00
parent 24b78bef32
commit 9595b174e5
2 changed files with 9 additions and 0 deletions
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7
storage/remote/otlptranslator/prometheusremotewrite/helper.go
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@ -220,6 +220,13 @@ func isValidAggregationTemporality(metric pmetric.Metric) bool {
return false return false
} }
// addHistogramDataPoints adds OTel histogram data points to the corresponding Prometheus time series
// as classical histogram samples.
//
// Note that we can't convert to native histograms, since these have exponential buckets and don't line up
// with the user defined bucket boundaries of non-exponential OTel histograms.
// However, work is under way to resolve this shortcoming through a feature called native histograms custom buckets:
// https://github.com/prometheus/prometheus/issues/13485.
func (c *PrometheusConverter) addHistogramDataPoints(dataPoints pmetric.HistogramDataPointSlice, func (c *PrometheusConverter) addHistogramDataPoints(dataPoints pmetric.HistogramDataPointSlice,
resource pcommon.Resource, settings Settings, baseName string) { resource pcommon.Resource, settings Settings, baseName string) {
for x := 0; x < dataPoints.Len(); x++ { for x := 0; x < dataPoints.Len(); x++ {

2
storage/remote/otlptranslator/prometheusremotewrite/histograms.go
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@ -30,6 +30,8 @@ import (
const defaultZeroThreshold = 1e-128 const defaultZeroThreshold = 1e-128
// addExponentialHistogramDataPoints adds OTel exponential histogram data points to the corresponding time series
// as native histogram samples.
func (c *PrometheusConverter) addExponentialHistogramDataPoints(dataPoints pmetric.ExponentialHistogramDataPointSlice, func (c *PrometheusConverter) addExponentialHistogramDataPoints(dataPoints pmetric.ExponentialHistogramDataPointSlice,
resource pcommon.Resource, settings Settings, promName string) error { resource pcommon.Resource, settings Settings, promName string) error {
for x := 0; x < dataPoints.Len(); x++ { for x := 0; x < dataPoints.Len(); x++ {