mirror of https://github.com/prometheus/prometheus
178 lines
5.3 KiB
Go
178 lines
5.3 KiB
Go
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// Copyright 2024 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package textparse
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import (
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"bytes"
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"errors"
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"fmt"
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"io"
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"os"
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"path/filepath"
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"testing"
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"github.com/prometheus/prometheus/model/exemplar"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/common/expfmt"
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"github.com/prometheus/common/model"
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"github.com/stretchr/testify/require"
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)
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type newParser func([]byte, *labels.SymbolTable) Parser
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var newTestParserFns = map[string]newParser{
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"promtext": NewPromParser,
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"promproto": func(b []byte, st *labels.SymbolTable) Parser {
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return NewProtobufParser(b, true, st)
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},
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"omtext": func(b []byte, st *labels.SymbolTable) Parser {
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return NewOpenMetricsParser(b, st, WithOMParserCTSeriesSkipped())
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},
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}
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// BenchmarkParse benchmarks parsing, mimicking how scrape/scrape.go#append use it.
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// Typically used as follows:
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/*
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export bench=v1 && go test ./model/textparse/... \
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-run '^$' -bench '^BenchmarkParse' \
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-benchtime 2s -count 6 -cpu 2 -benchmem -timeout 999m \
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| tee ${bench}.txt
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*/
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// For profiles, add -memprofile=${bench}.mem.pprof -cpuprofile=${bench}.cpu.pprof
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// options.
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//
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// NOTE(bwplotka): Previous iterations of this benchmark had different cases for isolated
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// Series, Series+Metrics with and without reuse, Series+CT. Those cases are sometimes
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// good to know if you are working on a certain optimization, but it does not
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// make sense to persist such cases for everybody (e.g. for CI one day).
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// For local iteration, feel free to adjust cases/comment out code etc.
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//
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// NOTE(bwplotka): Do not try to conclude "what parser (OM, proto, prom) is the fastest"
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// as the testdata has different amount and type of metrics and features (e.g. exemplars).
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func BenchmarkParse(b *testing.B) {
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for _, bcase := range []struct {
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dataFile string // Localized to "./testdata".
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dataProto []byte
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parser string
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compareToExpfmtFormat expfmt.FormatType
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}{
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{dataFile: "promtestdata.txt", parser: "promtext", compareToExpfmtFormat: expfmt.TypeTextPlain},
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{dataFile: "promtestdata.nometa.txt", parser: "promtext", compareToExpfmtFormat: expfmt.TypeTextPlain},
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// We don't pass compareToExpfmtFormat: expfmt.TypeProtoDelim as expfmt does not support GAUGE_HISTOGRAM, see https://github.com/prometheus/common/issues/430.
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{dataProto: createTestProtoBuf(b).Bytes(), parser: "promproto"},
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// We don't pass compareToExpfmtFormat: expfmt.TypeOpenMetrics as expfmt does not support OM exemplars, see https://github.com/prometheus/common/issues/703.
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{dataFile: "omtestdata.txt", parser: "omtext"},
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{dataFile: "promtestdata.txt", parser: "omtext"}, // Compare how omtext parser deals with Prometheus text format vs promtext.
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} {
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var buf []byte
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dataCase := bcase.dataFile
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if len(bcase.dataProto) > 0 {
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dataCase = "createTestProtoBuf()"
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buf = bcase.dataProto
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} else {
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f, err := os.Open(filepath.Join("testdata", bcase.dataFile))
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require.NoError(b, err)
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b.Cleanup(func() {
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_ = f.Close()
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})
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buf, err = io.ReadAll(f)
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require.NoError(b, err)
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}
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b.Run(fmt.Sprintf("data=%v/parser=%v", dataCase, bcase.parser), func(b *testing.B) {
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newParserFn := newTestParserFns[bcase.parser]
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var (
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res labels.Labels
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e exemplar.Exemplar
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)
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b.SetBytes(int64(len(buf)))
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b.ReportAllocs()
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b.ResetTimer()
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st := labels.NewSymbolTable()
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for i := 0; i < b.N; i++ {
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p := newParserFn(buf, st)
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Inner:
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for {
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t, err := p.Next()
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switch t {
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case EntryInvalid:
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if errors.Is(err, io.EOF) {
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break Inner
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}
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b.Fatal(err)
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case EntryType:
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_, _ = p.Type()
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continue
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case EntryHelp:
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_, _ = p.Help()
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continue
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case EntryUnit:
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_, _ = p.Unit()
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continue
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case EntryComment:
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continue
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case EntryHistogram:
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_, _, _, _ = p.Histogram()
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case EntrySeries:
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_, _, _ = p.Series()
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default:
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b.Fatal("not implemented entry", t)
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}
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_ = p.Metric(&res)
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_ = p.CreatedTimestamp()
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for hasExemplar := p.Exemplar(&e); hasExemplar; hasExemplar = p.Exemplar(&e) {
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}
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}
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}
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})
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b.Run(fmt.Sprintf("data=%v/parser=xpfmt", dataCase), func(b *testing.B) {
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if bcase.compareToExpfmtFormat == expfmt.TypeUnknown {
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b.Skip("compareToExpfmtFormat not set")
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}
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b.SetBytes(int64(len(buf)))
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b.ReportAllocs()
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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decSamples := make(model.Vector, 0, 50)
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sdec := expfmt.SampleDecoder{
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Dec: expfmt.NewDecoder(bytes.NewReader(buf), expfmt.NewFormat(bcase.compareToExpfmtFormat)),
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Opts: &expfmt.DecodeOptions{
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Timestamp: model.TimeFromUnixNano(0),
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},
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}
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for {
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if err := sdec.Decode(&decSamples); err != nil {
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if errors.Is(err, io.EOF) {
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break
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}
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b.Fatal(err)
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}
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decSamples = decSamples[:0]
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}
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}
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})
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}
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}
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