Add native histogram support in federation

Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>
This commit is contained in:
Ganesh Vernekar 2023-01-09 17:06:15 +05:30
parent 6948fb1eb6
commit 33f880d123
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@ -26,6 +26,7 @@ import (
"github.com/prometheus/common/expfmt"
"github.com/prometheus/common/model"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/model/timestamp"
"github.com/prometheus/prometheus/model/value"
@ -103,6 +104,7 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
set := storage.NewMergeSeriesSet(sets, storage.ChainedSeriesMerge)
it := storage.NewBuffer(int64(h.lookbackDelta / 1e6))
var chkIter chunkenc.Iterator
Loop:
for set.Next() {
s := set.At()
@ -111,18 +113,22 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
chkIter = s.Iterator(chkIter)
it.Reset(chkIter)
var t int64
var v float64
var ok bool
var (
t int64
v float64
h *histogram.FloatHistogram
ok bool
)
valueType := it.Seek(maxt)
if valueType == chunkenc.ValFloat {
switch valueType {
case chunkenc.ValFloat:
t, v = it.At()
} else {
// TODO(beorn7): Handle histograms.
case chunkenc.ValFloatHistogram, chunkenc.ValHistogram:
t, h = it.AtFloatHistogram()
default:
t, v, _, ok = it.PeekBack(1)
if !ok {
continue
continue Loop
}
}
// The exposition formats do not support stale markers, so drop them. This
@ -135,7 +141,7 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
vec = append(vec, promql.Sample{
Metric: s.Labels(),
Point: promql.Point{T: t, V: v},
Point: promql.Point{T: t, V: v, H: h},
})
}
if ws := set.Warnings(); len(ws) > 0 {
@ -162,14 +168,21 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
var (
lastMetricName string
lastWasHistogram, lastHistogramWasGauge bool
protMetricFam *dto.MetricFamily
)
for _, s := range vec {
isHistogram := s.H != nil
if isHistogram &&
format != expfmt.FmtProtoDelim && format != expfmt.FmtProtoText && format != expfmt.FmtProtoCompact {
// Can't serve the native histogram.
// TODO(codesome): Serve them when other protocols get the native histogram support.
continue
}
nameSeen := false
globalUsed := map[string]struct{}{}
protMetric := &dto.Metric{
Untyped: &dto.Untyped{},
}
protMetric := &dto.Metric{}
err := s.Metric.Validate(func(l labels.Label) error {
if l.Value == "" {
@ -179,11 +192,18 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
}
if l.Name == labels.MetricName {
nameSeen = true
if l.Value == lastMetricName {
// We already have the name in the current MetricFamily,
// and we ignore nameless metrics.
if l.Value == lastMetricName && // We already have the name in the current MetricFamily, and we ignore nameless metrics.
lastWasHistogram == isHistogram && // The sample type matches (float vs histogram).
// If it was a histogram, the histogram type (counter vs gauge) also matches.
(!isHistogram || lastHistogramWasGauge == (s.H.CounterResetHint == histogram.GaugeType)) {
return nil
}
// Since we now check for the sample type and type of histogram above, we will end up
// creating multiple metric families for the same metric name. This would technically be
// an invalid exposition. But since the consumer of this is Prometheus, and Prometheus can
// parse it fine, we allow it and bend the rules to make federation possible in those cases.
// Need to start a new MetricFamily. Ship off the old one (if any) before
// creating the new one.
if protMetricFam != nil {
@ -195,6 +215,13 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
Type: dto.MetricType_UNTYPED.Enum(),
Name: proto.String(l.Value),
}
if isHistogram {
if s.H.CounterResetHint == histogram.GaugeType {
protMetricFam.Type = dto.MetricType_GAUGE_HISTOGRAM.Enum()
} else {
protMetricFam.Type = dto.MetricType_HISTOGRAM.Enum()
}
}
lastMetricName = l.Value
return nil
}
@ -228,9 +255,42 @@ func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
}
protMetric.TimestampMs = proto.Int64(s.T)
protMetric.Untyped.Value = proto.Float64(s.V)
// TODO(beorn7): Handle histograms.
if !isHistogram {
lastHistogramWasGauge = false
protMetric.Untyped = &dto.Untyped{
Value: proto.Float64(s.V),
}
} else {
lastHistogramWasGauge = s.H.CounterResetHint == histogram.GaugeType
protMetric.Histogram = &dto.Histogram{
SampleCountFloat: proto.Float64(s.H.Count),
SampleSum: proto.Float64(s.H.Sum),
Schema: proto.Int32(s.H.Schema),
ZeroThreshold: proto.Float64(s.H.ZeroThreshold),
ZeroCountFloat: proto.Float64(s.H.ZeroCount),
NegativeCount: s.H.NegativeBuckets,
PositiveCount: s.H.PositiveBuckets,
}
if len(s.H.PositiveSpans) > 0 {
protMetric.Histogram.PositiveSpan = make([]*dto.BucketSpan, len(s.H.PositiveSpans))
for i, sp := range s.H.PositiveSpans {
protMetric.Histogram.PositiveSpan[i] = &dto.BucketSpan{
Offset: proto.Int32(sp.Offset),
Length: proto.Uint32(sp.Length),
}
}
}
if len(s.H.NegativeSpans) > 0 {
protMetric.Histogram.NegativeSpan = make([]*dto.BucketSpan, len(s.H.NegativeSpans))
for i, sp := range s.H.NegativeSpans {
protMetric.Histogram.NegativeSpan[i] = &dto.BucketSpan{
Offset: proto.Int32(sp.Offset),
Length: proto.Uint32(sp.Length),
}
}
}
}
lastWasHistogram = isHistogram
protMetricFam.Metric = append(protMetricFam.Metric, protMetric)
}
// Still have to ship off the last MetricFamily, if any.