// Copyright 2024 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 textparse import ( "errors" "io" "math" "strconv" "strings" "github.com/prometheus/common/model" "github.com/prometheus/prometheus/model/exemplar" "github.com/prometheus/prometheus/model/histogram" "github.com/prometheus/prometheus/model/labels" "github.com/prometheus/prometheus/util/convertnhcb" ) type NhcbParser struct { // The parser we're wrapping. parser Parser // Option to keep classic histograms along with converted histograms. keepClassicHistograms bool // Caches the values from the underlying parser. // For Series and Histogram. bytes []byte ts *int64 value float64 h *histogram.Histogram fh *histogram.FloatHistogram // For Metric. lset labels.Labels metricString string // Caches the entry itself if we are inserting a converted NHCB // halfway through. entry Entry justInsertedNhcb bool // Caches the values and metric for the inserted converted NHCB. bytesNhcb []byte hNhcb *histogram.Histogram fhNhcb *histogram.FloatHistogram lsetNhcb labels.Labels metricStringNhcb string // Collates values from the classic histogram series to build // the converted histogram later. tempLsetNhcb labels.Labels tempNhcb convertnhcb.TempHistogram isCollationInProgress bool // Remembers the last native histogram name so we can ignore // conversions to NHCB when the name is the same. lastNativeHistName string // Remembers the last base histogram metric name (assuming it's // a classic histogram) so we can tell if the next float series // is part of the same classic histogram. lastBaseHistName string } func NewNhcbParser(p Parser, keepClassicHistograms bool) Parser { return &NhcbParser{ parser: p, keepClassicHistograms: keepClassicHistograms, tempNhcb: convertnhcb.NewTempHistogram(), } } func (p *NhcbParser) Series() ([]byte, *int64, float64) { return p.bytes, p.ts, p.value } func (p *NhcbParser) Histogram() ([]byte, *int64, *histogram.Histogram, *histogram.FloatHistogram) { if p.justInsertedNhcb { return p.bytesNhcb, p.ts, p.hNhcb, p.fhNhcb } return p.bytes, p.ts, p.h, p.fh } func (p *NhcbParser) Help() ([]byte, []byte) { return p.parser.Help() } func (p *NhcbParser) Type() ([]byte, model.MetricType) { return p.parser.Type() } func (p *NhcbParser) Unit() ([]byte, []byte) { return p.parser.Unit() } func (p *NhcbParser) Comment() []byte { return p.parser.Comment() } func (p *NhcbParser) Metric(l *labels.Labels) string { if p.justInsertedNhcb { *l = p.lsetNhcb return p.metricStringNhcb } *l = p.lset return p.metricString } func (p *NhcbParser) Exemplar(ex *exemplar.Exemplar) bool { return p.parser.Exemplar(ex) } func (p *NhcbParser) CreatedTimestamp() *int64 { return p.parser.CreatedTimestamp() } func (p *NhcbParser) Next() (Entry, error) { if p.justInsertedNhcb { p.justInsertedNhcb = false if p.entry == EntrySeries { if isNhcb := p.handleClassicHistogramSeries(p.lset); isNhcb && !p.keepClassicHistograms { return p.Next() } } return p.entry, nil } et, err := p.parser.Next() if err != nil { if errors.Is(err, io.EOF) && p.processNhcb() { p.entry = et return EntryHistogram, nil } return EntryInvalid, err } switch et { case EntrySeries: p.bytes, p.ts, p.value = p.parser.Series() p.metricString = p.parser.Metric(&p.lset) histBaseName := convertnhcb.GetHistogramMetricBaseName(p.lset) if histBaseName == p.lastNativeHistName { break } shouldInsertNhcb := p.lastBaseHistName != "" && p.lastBaseHistName != histBaseName p.lastBaseHistName = histBaseName if shouldInsertNhcb && p.processNhcb() { p.entry = et return EntryHistogram, nil } if isNhcb := p.handleClassicHistogramSeries(p.lset); isNhcb && !p.keepClassicHistograms { return p.Next() } case EntryHistogram: p.bytes, p.ts, p.h, p.fh = p.parser.Histogram() p.metricString = p.parser.Metric(&p.lset) p.lastNativeHistName = p.lset.Get(labels.MetricName) if p.processNhcb() { p.entry = et return EntryHistogram, nil } default: if p.processNhcb() { p.entry = et return EntryHistogram, nil } } return et, err } // handleClassicHistogramSeries collates the classic histogram series to be converted to NHCB // if it is actually a classic histogram series (and not a normal float series) and if there // isn't already a native histogram with the same name (assuming it is always processed // right before the classic histograms) and returns true if the collation was done. func (p *NhcbParser) handleClassicHistogramSeries(lset labels.Labels) bool { mName := lset.Get(labels.MetricName) switch { case strings.HasSuffix(mName, "_bucket") && lset.Has(labels.BucketLabel): le, err := strconv.ParseFloat(lset.Get(labels.BucketLabel), 64) if err == nil && !math.IsNaN(le) { p.processClassicHistogramSeries(lset, "_bucket", func(hist *convertnhcb.TempHistogram) { hist.BucketCounts[le] = p.value }) return true } case strings.HasSuffix(mName, "_count"): p.processClassicHistogramSeries(lset, "_count", func(hist *convertnhcb.TempHistogram) { hist.Count = p.value }) return true case strings.HasSuffix(mName, "_sum"): p.processClassicHistogramSeries(lset, "_sum", func(hist *convertnhcb.TempHistogram) { hist.Sum = p.value }) return true } return false } func (p *NhcbParser) processClassicHistogramSeries(lset labels.Labels, suffix string, updateHist func(*convertnhcb.TempHistogram)) { p.isCollationInProgress = true p.tempLsetNhcb = convertnhcb.GetHistogramMetricBase(lset, suffix) updateHist(&p.tempNhcb) } // processNhcb converts the collated classic histogram series to NHCB and caches the info // to be returned to callers. func (p *NhcbParser) processNhcb() bool { if !p.isCollationInProgress { return false } ub := make([]float64, 0, len(p.tempNhcb.BucketCounts)) for b := range p.tempNhcb.BucketCounts { ub = append(ub, b) } upperBounds, hBase := convertnhcb.ProcessUpperBoundsAndCreateBaseHistogram(ub, false) fhBase := hBase.ToFloat(nil) h, fh := convertnhcb.ConvertHistogramWrapper(p.tempNhcb, upperBounds, hBase, fhBase) if h != nil { if err := h.Validate(); err != nil { return false } p.hNhcb = h p.fhNhcb = nil } else if fh != nil { if err := fh.Validate(); err != nil { return false } p.hNhcb = nil p.fhNhcb = fh } buf := make([]byte, 0, 1024) p.bytesNhcb = p.tempLsetNhcb.Bytes(buf) p.lsetNhcb = p.tempLsetNhcb p.metricStringNhcb = p.tempLsetNhcb.String() p.tempNhcb = convertnhcb.NewTempHistogram() p.isCollationInProgress = false p.justInsertedNhcb = true return true }