Add otel type label for non-monotonic counters in OTLP endpoint

Signed-off-by: Carrie Edwards <edwrdscarrie@gmail.com>
This commit is contained in:
Carrie Edwards 2025-08-19 09:24:52 -07:00
parent 5cba841126
commit 362fc03f72
5 changed files with 37 additions and 11 deletions

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@ -241,7 +241,7 @@ Examples of equivalent durations:
When enabled, allows for the native ingestion of delta OTLP metrics, storing the raw sample values without conversion. This cannot be enabled in conjunction with `otlp-deltatocumulative`. It is recommended to enable `type-and-unit-labels`.
Currently, the StartTimeUnixNano field is ignored. Delta metrics are given a `__temporality__` label with a value of "delta", and a `__type__` label with a value of "gauge"/"gaugehistogram" if `type-and-unit-labels` is enabled. OTel sum metrics are additionally given a `__monotonicity__` label with a value of "true"/"false".
Currently, the StartTimeUnixNano field is ignored. Delta metrics are given a `__temporality__` label with a value of "delta", and a `__type__` label with a value of "gauge"/"gaugehistogram" if `type-and-unit-labels` is enabled. OTel sum metrics are additionally given a `__monotonicity__` label with a value of "true"/"false". OTel non-monotonic sum metrics are also given a `__otel_type__` label with a value of "sum".
Delta support is in a very early stage of development and the ingestion and querying process my change over time. For the open proposal see [prometheus/proposals#48](https://github.com/prometheus/proposals/pull/48).

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@ -21,7 +21,7 @@ import (
const (
// Special label names and selectors for schema.Metadata fields.
// They are currently private to ensure __name__, __type__, __unit__, __temporality__ and __monotonicity__ are used
// They are currently private to ensure __name__, __type__, __unit__, __temporality__, __monotonicity__, and __otel_type__ are used
// together and remain extensible in Prometheus. See NewMetadataFromLabels and Metadata
// methods for the interactions with the labels package structs.
metricName = "__name__"
@ -29,12 +29,13 @@ const (
metricUnit = "__unit__"
metricTemporality = "__temporality__"
metricMonotonicity = "__monotonicity__"
metricOTelType = "__otel_type__"
)
// IsMetadataLabel returns true if the given label name is a special
// schema Metadata label.
func IsMetadataLabel(name string) bool {
return name == metricName || name == metricType || name == metricUnit || name == metricTemporality || name == metricMonotonicity
return name == metricName || name == metricType || name == metricUnit || name == metricTemporality || name == metricMonotonicity || name == metricOTelType
}
// Metadata represents the core metric schema/metadata elements that:
@ -82,6 +83,8 @@ type Metadata struct {
// Monotonicity represents whether the metric is monotonic. Empty string means monotonicity is not set.
// Valid values are "true" and "false".
Monotonicity string
// OTelType represents the original OTLP metric type for a metric ingested via the OTLP endpoint.
OTelType string
}
// NewMetadataFromLabels returns the schema metadata from the labels.
@ -96,6 +99,7 @@ func NewMetadataFromLabels(ls labels.Labels) Metadata {
Unit: ls.Get(metricUnit),
Temporality: ls.Get(metricTemporality),
Monotonicity: ls.Get(metricMonotonicity),
OTelType: ls.Get(metricOTelType),
}
}
@ -119,6 +123,8 @@ func (m Metadata) IsEmptyFor(labelName string) bool {
return m.Temporality == ""
case metricMonotonicity:
return m.Monotonicity == ""
case metricOTelType:
return m.OTelType == ""
default:
return true
}
@ -142,6 +148,9 @@ func (m Metadata) AddToLabels(b *labels.ScratchBuilder) {
if m.Monotonicity != "" {
b.Add(metricMonotonicity, m.Monotonicity)
}
if m.OTelType != "" {
b.Add(metricOTelType, m.OTelType)
}
}
// SetToLabels injects metric schema metadata as labels into the labels.Builder.
@ -159,6 +168,7 @@ func (m Metadata) SetToLabels(b *labels.Builder) {
b.Set(metricUnit, m.Unit)
b.Set(metricTemporality, m.Temporality)
b.Set(metricMonotonicity, m.Monotonicity)
b.Set(metricOTelType, m.OTelType)
}
// IgnoreOverriddenMetadataLabelsScratchBuilder is a wrapper over labels scratch builder

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@ -31,10 +31,11 @@ func TestMetadata(t *testing.T) {
Unit: "seconds",
Temporality: "delta",
Monotonicity: "true",
OTelType: "sum",
}
for _, tcase := range []struct {
emptyName, emptyType, emptyUnit, emptyTemporality, emptyMonotonicity bool
emptyName, emptyType, emptyUnit, emptyTemporality, emptyMonotonicity, emptyOTelType bool
}{
{},
{emptyName: true},
@ -42,6 +43,7 @@ func TestMetadata(t *testing.T) {
{emptyUnit: true},
{emptyTemporality: true},
{emptyMonotonicity: true},
{emptyOTelType: true},
{emptyName: true, emptyType: true, emptyUnit: true, emptyTemporality: true},
} {
var (
@ -75,6 +77,10 @@ func TestMetadata(t *testing.T) {
lb.Add(metricMonotonicity, testMeta.Monotonicity)
expectedMeta.Monotonicity = testMeta.Monotonicity
}
if !tcase.emptyOTelType {
lb.Add(metricOTelType, testMeta.OTelType)
expectedMeta.OTelType = testMeta.OTelType
}
lb.Sort()
expectedLabels = lb.Labels()
}
@ -93,6 +99,7 @@ func TestMetadata(t *testing.T) {
require.Equal(t, tcase.emptyUnit, expectedMeta.IsEmptyFor(metricUnit))
require.Equal(t, tcase.emptyTemporality, expectedMeta.IsEmptyFor(metricTemporality))
require.Equal(t, tcase.emptyMonotonicity, expectedMeta.IsEmptyFor(metricMonotonicity))
require.Equal(t, tcase.emptyOTelType, expectedMeta.IsEmptyFor(metricOTelType))
}
{
// From Metadata to labels for various builders.
@ -129,8 +136,9 @@ func TestIgnoreOverriddenMetadataLabelsScratchBuilder(t *testing.T) {
Unit: "seconds",
Temporality: "delta",
Monotonicity: "true",
OTelType: "sum",
},
expectedLabels: labels.FromStrings(metricName, "metric_total", metricType, string(model.MetricTypeCounter), metricUnit, "seconds", metricTemporality, "delta", metricMonotonicity, "true", "foo", "bar"),
expectedLabels: labels.FromStrings(metricName, "metric_total", metricType, string(model.MetricTypeCounter), metricUnit, "seconds", metricTemporality, "delta", metricMonotonicity, "true", metricOTelType, "sum", "foo", "bar"),
},
{
highPrioMeta: Metadata{
@ -178,6 +186,7 @@ func TestIsMetadataLabel(t *testing.T) {
{"__unit__", true},
{"__temporality__", true},
{"__monotonicity__", true},
{"__otel_type__", true},
{"foo", false},
{"bar", false},
{"__other__", false},

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@ -683,13 +683,19 @@ func createPromFloatSeriesWithTemporality(name, temporality string, ts time.Time
}
func createPromFloatSeriesWithTemporalityAndMonotonicity(name, temporality, monotonicity string, ts time.Time) prompb.TimeSeries {
labels := []prompb.Label{
{Name: "__monotonicity__", Value: monotonicity},
{Name: "__name__", Value: name},
{Name: "__temporality__", Value: temporality},
{Name: "test_label", Value: "test_value"},
}
if monotonicity == "false" {
labels = append(labels, prompb.Label{Name: "__otel_type__", Value: "sum"})
}
return prompb.TimeSeries{
Labels: []prompb.Label{
{Name: "__monotonicity__", Value: monotonicity},
{Name: "__name__", Value: name},
{Name: "__temporality__", Value: temporality},
{Name: "test_label", Value: "test_value"},
},
Labels: labels,
Samples: []prompb.Sample{{
Value: 5,
Timestamp: ts.UnixMilli(),

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@ -104,6 +104,7 @@ func (c *PrometheusConverter) addSumNumberDataPoints(ctx context.Context, dataPo
lbls = append(lbls, prompb.Label{Name: "__monotonicity__", Value: "true"})
} else {
lbls = append(lbls, prompb.Label{Name: "__monotonicity__", Value: "false"})
lbls = append(lbls, prompb.Label{Name: "__otel_type__", Value: "sum"})
}
}