prometheus/web/federate.go
Filip Petkovski 10a82f87fd
Enable reusing memory when converting between histogram types
The 'ToFloat' method on integer histograms currently allocates new memory
each time it is called.

This commit adds an optional *FloatHistogram parameter that can be used
to reuse span and bucket slices. It is up to the caller to make sure the
input float histogram is not used anymore after the call.

Signed-off-by: Filip Petkovski <filip.petkovsky@gmail.com>
2023-12-08 10:22:59 +01:00

324 lines
9.9 KiB
Go

// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package web
import (
"errors"
"fmt"
"net/http"
"sort"
"strings"
"github.com/go-kit/log/level"
"github.com/gogo/protobuf/proto"
"github.com/prometheus/client_golang/prometheus"
dto "github.com/prometheus/client_model/go"
"github.com/prometheus/common/expfmt"
"github.com/prometheus/common/model"
"golang.org/x/exp/slices"
"github.com/prometheus/prometheus/model/histogram"
"github.com/prometheus/prometheus/model/labels"
"github.com/prometheus/prometheus/model/timestamp"
"github.com/prometheus/prometheus/model/value"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/promql/parser"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/tsdb"
"github.com/prometheus/prometheus/tsdb/chunkenc"
)
var (
federationErrors = prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_web_federation_errors_total",
Help: "Total number of errors that occurred while sending federation responses.",
})
federationWarnings = prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_web_federation_warnings_total",
Help: "Total number of warnings that occurred while sending federation responses.",
})
)
func registerFederationMetrics(r prometheus.Registerer) {
r.MustRegister(federationWarnings, federationErrors)
}
func (h *Handler) federation(w http.ResponseWriter, req *http.Request) {
h.mtx.RLock()
defer h.mtx.RUnlock()
ctx := req.Context()
if err := req.ParseForm(); err != nil {
http.Error(w, fmt.Sprintf("error parsing form values: %v", err), http.StatusBadRequest)
return
}
var matcherSets [][]*labels.Matcher
for _, s := range req.Form["match[]"] {
matchers, err := parser.ParseMetricSelector(s)
if err != nil {
http.Error(w, err.Error(), http.StatusBadRequest)
return
}
matcherSets = append(matcherSets, matchers)
}
var (
mint = timestamp.FromTime(h.now().Time().Add(-h.lookbackDelta))
maxt = timestamp.FromTime(h.now().Time())
format = expfmt.Negotiate(req.Header)
enc = expfmt.NewEncoder(w, format)
)
w.Header().Set("Content-Type", string(format))
q, err := h.localStorage.Querier(mint, maxt)
if err != nil {
federationErrors.Inc()
if errors.Is(err, tsdb.ErrNotReady) {
http.Error(w, err.Error(), http.StatusServiceUnavailable)
return
}
http.Error(w, err.Error(), http.StatusInternalServerError)
return
}
defer q.Close()
vec := make(promql.Vector, 0, 8000)
hints := &storage.SelectHints{Start: mint, End: maxt}
var sets []storage.SeriesSet
for _, mset := range matcherSets {
s := q.Select(ctx, true, hints, mset...)
sets = append(sets, s)
}
set := storage.NewMergeSeriesSet(sets, storage.ChainedSeriesMerge)
it := storage.NewBuffer(int64(h.lookbackDelta / 1e6))
var chkIter chunkenc.Iterator
Loop:
for set.Next() {
s := set.At()
// TODO(fabxc): allow fast path for most recent sample either
// in the storage itself or caching layer in Prometheus.
chkIter = s.Iterator(chkIter)
it.Reset(chkIter)
var (
t int64
f float64
fh *histogram.FloatHistogram
)
valueType := it.Seek(maxt)
switch valueType {
case chunkenc.ValFloat:
t, f = it.At()
case chunkenc.ValFloatHistogram, chunkenc.ValHistogram:
t, fh = it.AtFloatHistogram()
default:
sample, ok := it.PeekBack(1)
if !ok {
continue Loop
}
t = sample.T()
switch sample.Type() {
case chunkenc.ValFloat:
f = sample.F()
case chunkenc.ValHistogram:
fh = sample.H().ToFloat(nil)
case chunkenc.ValFloatHistogram:
fh = sample.FH()
default:
continue Loop
}
}
// The exposition formats do not support stale markers, so drop them. This
// is good enough for staleness handling of federated data, as the
// interval-based limits on staleness will do the right thing for supported
// use cases (which is to say federating aggregated time series).
if value.IsStaleNaN(f) || (fh != nil && value.IsStaleNaN(fh.Sum)) {
continue
}
vec = append(vec, promql.Sample{
Metric: s.Labels(),
T: t,
F: f,
H: fh,
})
}
if ws := set.Warnings(); len(ws) > 0 {
level.Debug(h.logger).Log("msg", "Federation select returned warnings", "warnings", ws)
federationWarnings.Add(float64(len(ws)))
}
if set.Err() != nil {
federationErrors.Inc()
http.Error(w, set.Err().Error(), http.StatusInternalServerError)
return
}
slices.SortFunc(vec, func(a, b promql.Sample) int {
ni := a.Metric.Get(labels.MetricName)
nj := b.Metric.Get(labels.MetricName)
return strings.Compare(ni, nj)
})
externalLabels := h.config.GlobalConfig.ExternalLabels.Map()
if _, ok := externalLabels[model.InstanceLabel]; !ok {
externalLabels[model.InstanceLabel] = ""
}
externalLabelNames := make([]string, 0, len(externalLabels))
for ln := range externalLabels {
externalLabelNames = append(externalLabelNames, ln)
}
sort.Strings(externalLabelNames)
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{}
err := s.Metric.Validate(func(l labels.Label) error {
if l.Value == "" {
// No value means unset. Never consider those labels.
// This is also important to protect against nameless metrics.
return nil
}
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.
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 {
if err := enc.Encode(protMetricFam); err != nil {
return err
}
}
protMetricFam = &dto.MetricFamily{
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
}
protMetric.Label = append(protMetric.Label, &dto.LabelPair{
Name: proto.String(l.Name),
Value: proto.String(l.Value),
})
if _, ok := externalLabels[l.Name]; ok {
globalUsed[l.Name] = struct{}{}
}
return nil
})
if err != nil {
federationErrors.Inc()
level.Error(h.logger).Log("msg", "federation failed", "err", err)
return
}
if !nameSeen {
level.Warn(h.logger).Log("msg", "Ignoring nameless metric during federation", "metric", s.Metric)
continue
}
// Attach global labels if they do not exist yet.
for _, ln := range externalLabelNames {
lv := externalLabels[ln]
if _, ok := globalUsed[ln]; !ok {
protMetric.Label = append(protMetric.Label, &dto.LabelPair{
Name: proto.String(ln),
Value: proto.String(lv),
})
}
}
protMetric.TimestampMs = proto.Int64(s.T)
if !isHistogram {
lastHistogramWasGauge = false
protMetric.Untyped = &dto.Untyped{
Value: proto.Float64(s.F),
}
} 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.
if protMetricFam != nil {
if err := enc.Encode(protMetricFam); err != nil {
federationErrors.Inc()
level.Error(h.logger).Log("msg", "federation failed", "err", err)
}
}
}