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| 1 | +// SPDX-License-Identifier: AGPL-3.0-only |
| 2 | + |
| 3 | +package mimirpb |
| 4 | + |
| 5 | +import ( |
| 6 | + "fmt" |
| 7 | + "strconv" |
| 8 | + "testing" |
| 9 | + |
| 10 | + rw1 "github.com/prometheus/prometheus/prompb" |
| 11 | + rw2 "github.com/prometheus/prometheus/prompb/io/prometheus/write/v2" |
| 12 | + "github.com/stretchr/testify/require" |
| 13 | + |
| 14 | + rw2util "github.com/grafana/mimir/pkg/util/test" |
| 15 | +) |
| 16 | + |
| 17 | +// Measure unmarshal performance between Remote Write 1.0 and 2.0. |
| 18 | +// Testing with large data sets, use "-benchtime 5s" to get more accurate results. |
| 19 | +func BenchmarkUnMarshal(b *testing.B) { |
| 20 | + const numSeries = 10000 |
| 21 | + |
| 22 | + const numFamilies = 100 // Number of unique metric families. |
| 23 | + |
| 24 | + // Some labels are common, like cluster/namespace, etc. |
| 25 | + // Some labels are unique, like pod_name, container_name, etc. |
| 26 | + const numCommonLabels = 30 |
| 27 | + const numUniqueLabels = 30 |
| 28 | + // Number of exemplars per series. This is not going to be true for native |
| 29 | + // histograms, but it's a good approximation. |
| 30 | + const numExemplars = 1 |
| 31 | + const numExemplarLabels = 5 |
| 32 | + |
| 33 | + // Generate a random series in Remote Write 1.0 format. |
| 34 | + rw1Request := &rw1.WriteRequest{ |
| 35 | + Timeseries: make([]rw1.TimeSeries, numSeries), |
| 36 | + Metadata: make([]rw1.MetricMetadata, numFamilies), |
| 37 | + } |
| 38 | + |
| 39 | + for i := 0; i < numSeries; i++ { |
| 40 | + rw1Request.Timeseries[i].Labels = generateLabels("", i, numCommonLabels, numUniqueLabels) |
| 41 | + |
| 42 | + rw1Request.Timeseries[i].Samples = make([]rw1.Sample, 1) |
| 43 | + // Histograms are the same in both formats so we skip them. |
| 44 | + rw1Request.Timeseries[i].Samples[0].Value = 1.0 |
| 45 | + |
| 46 | + rw1Request.Timeseries[i].Exemplars = make([]rw1.Exemplar, numExemplars) |
| 47 | + for j := 0; j < numExemplars; j++ { |
| 48 | + rw1Request.Timeseries[i].Exemplars[j].Labels = generateLabels("exemplar_", i, 0, numExemplarLabels) |
| 49 | + rw1Request.Timeseries[i].Exemplars[j].Value = 2.0 |
| 50 | + } |
| 51 | + } |
| 52 | + for i := 0; i < numFamilies; i++ { |
| 53 | + rw1Request.Metadata[i].MetricFamilyName = fmt.Sprintf("metric_%d", i) |
| 54 | + rw1Request.Metadata[i].Help = fmt.Sprintf("help_%d", i) |
| 55 | + rw1Request.Metadata[i].Unit = fmt.Sprintf("unit_%d", i) |
| 56 | + rw1Request.Metadata[i].Type = rw1.MetricMetadata_COUNTER |
| 57 | + } |
| 58 | + |
| 59 | + // Convert RW1 to RW2. |
| 60 | + rw2Request := &rw2.Request{} |
| 61 | + symBuilder := rw2util.NewSymbolTableBuilder(nil) |
| 62 | + |
| 63 | + for i, ts := range rw1Request.Timeseries { |
| 64 | + rw2Ts := rw2.TimeSeries{} |
| 65 | + for _, label := range ts.Labels { |
| 66 | + rw2Ts.LabelsRefs = append(rw2Ts.LabelsRefs, symBuilder.GetSymbol(label.Name)) |
| 67 | + rw2Ts.LabelsRefs = append(rw2Ts.LabelsRefs, symBuilder.GetSymbol(label.Value)) |
| 68 | + } |
| 69 | + for _, sample := range ts.Samples { |
| 70 | + rw2Ts.Samples = append(rw2Ts.Samples, rw2.Sample{Value: sample.Value}) |
| 71 | + } |
| 72 | + // Histograms are the same in both formats so we skip them. |
| 73 | + for _, exemplar := range ts.Exemplars { |
| 74 | + rw2Exemplar := rw2.Exemplar{ |
| 75 | + Value: exemplar.Value, |
| 76 | + } |
| 77 | + for _, label := range exemplar.Labels { |
| 78 | + rw2Exemplar.LabelsRefs = append(rw2Exemplar.LabelsRefs, symBuilder.GetSymbol(label.Name)) |
| 79 | + rw2Exemplar.LabelsRefs = append(rw2Exemplar.LabelsRefs, symBuilder.GetSymbol(label.Value)) |
| 80 | + } |
| 81 | + rw2Ts.Exemplars = append(rw2Ts.Exemplars, rw2Exemplar) |
| 82 | + } |
| 83 | + rw2Ts.Metadata.Type = rw2.Metadata_METRIC_TYPE_COUNTER |
| 84 | + rw2Ts.Metadata.HelpRef = symBuilder.GetSymbol(rw1Request.Metadata[i%numFamilies].Help) |
| 85 | + rw2Ts.Metadata.UnitRef = symBuilder.GetSymbol(rw1Request.Metadata[i%numFamilies].Unit) |
| 86 | + |
| 87 | + rw2Request.Timeseries = append(rw2Request.Timeseries, rw2Ts) |
| 88 | + } |
| 89 | + rw2Request.Symbols = symBuilder.GetSymbols() |
| 90 | + require.Len(b, rw2Request.Symbols, numCommonLabels*2+numSeries*numUniqueLabels*2+numFamilies*2+numExemplarLabels*numSeries*numExemplars*2) |
| 91 | + |
| 92 | + rw1Data, err := rw1Request.Marshal() |
| 93 | + require.NoError(b, err) |
| 94 | + require.NotEmpty(b, rw1Data) |
| 95 | + |
| 96 | + rw2Data, err := rw2Request.Marshal() |
| 97 | + require.NoError(b, err) |
| 98 | + require.NotEmpty(b, rw2Data) |
| 99 | + |
| 100 | + for _, skipExemplars := range []bool{true, false} { |
| 101 | + b.Run(fmt.Sprintf("RW1/skipExemplars=%v", skipExemplars), func(b *testing.B) { |
| 102 | + b.ResetTimer() |
| 103 | + for i := 0; i < b.N; i++ { |
| 104 | + pw := PreallocWriteRequest{} |
| 105 | + pw.SkipUnmarshalingExemplars = skipExemplars |
| 106 | + err := pw.Unmarshal(rw1Data) |
| 107 | + require.NoError(b, err) |
| 108 | + } |
| 109 | + }) |
| 110 | + |
| 111 | + b.Run(fmt.Sprintf("RW2/skipExemplars=%v", skipExemplars), func(b *testing.B) { |
| 112 | + b.ResetTimer() |
| 113 | + for i := 0; i < b.N; i++ { |
| 114 | + pw := PreallocWriteRequest{} |
| 115 | + pw.SkipUnmarshalingExemplars = skipExemplars |
| 116 | + pw.UnmarshalFromRW2 = true |
| 117 | + err := pw.Unmarshal(rw2Data) |
| 118 | + require.NoError(b, err) |
| 119 | + } |
| 120 | + }) |
| 121 | + } |
| 122 | +} |
| 123 | + |
| 124 | +func generateLabels(prefix string, seriesNumber, numCommonLabels, numUniqueLabels int) []rw1.Label { |
| 125 | + labels := make([]rw1.Label, numCommonLabels+numUniqueLabels) |
| 126 | + for i := 0; i < numCommonLabels; i++ { |
| 127 | + labels[i].Name = prefix + "common_label_" + strconv.Itoa(i) |
| 128 | + labels[i].Value = prefix + "common_value_" + strconv.Itoa(i) |
| 129 | + } |
| 130 | + for i := 0; i < numUniqueLabels; i++ { |
| 131 | + idx := numCommonLabels + i |
| 132 | + uid := seriesNumber*(numUniqueLabels) + i |
| 133 | + labels[idx].Name = prefix + "unique_label_" + strconv.Itoa(uid) |
| 134 | + labels[idx].Value = prefix + "unique_value_" + strconv.Itoa(uid) |
| 135 | + } |
| 136 | + return labels |
| 137 | +} |
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