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| 1 | +// Copyright (c) The Thanos Community Authors. |
| 2 | +// Licensed under the Apache License 2.0. |
| 3 | + |
| 4 | +package engine |
| 5 | + |
| 6 | +import ( |
| 7 | + "context" |
| 8 | + "fmt" |
| 9 | + "testing" |
| 10 | + "time" |
| 11 | + |
| 12 | + "github.com/thanos-io/promql-engine/execution/binary" |
| 13 | + "github.com/thanos-io/promql-engine/execution/model" |
| 14 | + "github.com/thanos-io/promql-engine/logicalplan" |
| 15 | + "github.com/thanos-io/promql-engine/query" |
| 16 | + |
| 17 | + "github.com/efficientgo/core/testutil" |
| 18 | + "github.com/prometheus/prometheus/model/labels" |
| 19 | + "github.com/prometheus/prometheus/promql/parser" |
| 20 | +) |
| 21 | + |
| 22 | +func BenchmarkBinaryProjectionPushdown(b *testing.B) { |
| 23 | + // Create mock series with many labels |
| 24 | + numSeries := 10000 |
| 25 | + lhsSeries := make([]labels.Labels, numSeries) |
| 26 | + rhsSeries := make([]labels.Labels, 100) |
| 27 | + |
| 28 | + // LHS: 10000 series with 20 labels each |
| 29 | + for i := range numSeries { |
| 30 | + lhsSeries[i] = labels.FromStrings( |
| 31 | + "__name__", "kube_pod_info", |
| 32 | + "cluster", "c1", |
| 33 | + "node", fmt.Sprintf("n%d", i%100), |
| 34 | + "namespace", fmt.Sprintf("ns%d", i), |
| 35 | + "pod", fmt.Sprintf("p%d", i), |
| 36 | + "label_a", fmt.Sprintf("a%d", i), |
| 37 | + "label_b", fmt.Sprintf("b%d", i), |
| 38 | + "label_c", fmt.Sprintf("c%d", i), |
| 39 | + "label_d", fmt.Sprintf("d%d", i), |
| 40 | + "label_e", fmt.Sprintf("e%d", i), |
| 41 | + "label_f", fmt.Sprintf("f%d", i), |
| 42 | + "label_g", fmt.Sprintf("g%d", i), |
| 43 | + "label_h", fmt.Sprintf("h%d", i), |
| 44 | + "label_i", fmt.Sprintf("i%d", i), |
| 45 | + "label_j", fmt.Sprintf("j%d", i), |
| 46 | + "label_k", fmt.Sprintf("k%d", i), |
| 47 | + "label_l", fmt.Sprintf("l%d", i), |
| 48 | + "label_m", fmt.Sprintf("m%d", i), |
| 49 | + "label_n", fmt.Sprintf("n%d", i), |
| 50 | + "label_o", fmt.Sprintf("o%d", i), |
| 51 | + ) |
| 52 | + } |
| 53 | + |
| 54 | + // RHS: 100 series with 3 labels each |
| 55 | + for i := range 100 { |
| 56 | + rhsSeries[i] = labels.FromStrings( |
| 57 | + "__name__", "kube_node_labels", |
| 58 | + "cluster", "c1", |
| 59 | + "node", fmt.Sprintf("n%d", i), |
| 60 | + "instance_type", fmt.Sprintf("t%d", i), |
| 61 | + ) |
| 62 | + } |
| 63 | + |
| 64 | + opts := &query.Options{ |
| 65 | + Start: time.Unix(0, 0), |
| 66 | + End: time.Unix(3000, 0), |
| 67 | + Step: 30 * time.Second, |
| 68 | + } |
| 69 | + |
| 70 | + b.Run("without_projection", func(b *testing.B) { |
| 71 | + b.ReportAllocs() |
| 72 | + for i := 0; b.Loop(); i++ { |
| 73 | + op, err := binary.NewVectorOperator( |
| 74 | + &mockOperator{series: lhsSeries}, |
| 75 | + &mockOperator{series: rhsSeries}, |
| 76 | + &parser.VectorMatching{ |
| 77 | + Card: parser.CardManyToOne, |
| 78 | + MatchingLabels: []string{"cluster", "node"}, |
| 79 | + On: true, |
| 80 | + Include: []string{"instance_type"}, |
| 81 | + }, |
| 82 | + parser.MUL, |
| 83 | + false, |
| 84 | + nil, // No projection |
| 85 | + opts, |
| 86 | + ) |
| 87 | + testutil.Ok(b, err) |
| 88 | + series, _ := op.Series(context.Background()) |
| 89 | + if i == 0 { |
| 90 | + b.Logf("Result series count: %d", len(series)) |
| 91 | + if len(series) > 0 { |
| 92 | + b.Logf("First series labels: %v", series[0]) |
| 93 | + b.Logf("First series label count: %d", series[0].Len()) |
| 94 | + } |
| 95 | + } |
| 96 | + } |
| 97 | + }) |
| 98 | + |
| 99 | + b.Run("with_projection", func(b *testing.B) { |
| 100 | + projection := &logicalplan.Projection{ |
| 101 | + Labels: []string{"namespace", "instance_type"}, |
| 102 | + Include: true, |
| 103 | + } |
| 104 | + |
| 105 | + b.ReportAllocs() |
| 106 | + for i := 0; b.Loop(); i++ { |
| 107 | + op, err := binary.NewVectorOperator( |
| 108 | + &mockOperator{series: lhsSeries}, |
| 109 | + &mockOperator{series: rhsSeries}, |
| 110 | + &parser.VectorMatching{ |
| 111 | + Card: parser.CardManyToOne, |
| 112 | + MatchingLabels: []string{"cluster", "node"}, |
| 113 | + On: true, |
| 114 | + Include: []string{"instance_type"}, |
| 115 | + }, |
| 116 | + parser.MUL, |
| 117 | + false, |
| 118 | + projection, |
| 119 | + opts, |
| 120 | + ) |
| 121 | + testutil.Ok(b, err) |
| 122 | + series, _ := op.Series(context.Background()) |
| 123 | + if i == 0 { |
| 124 | + b.Logf("Result series count: %d", len(series)) |
| 125 | + if len(series) > 0 { |
| 126 | + b.Logf("First series labels: %v", series[0]) |
| 127 | + b.Logf("First series label count: %d", series[0].Len()) |
| 128 | + } |
| 129 | + } |
| 130 | + } |
| 131 | + }) |
| 132 | +} |
| 133 | + |
| 134 | +func BenchmarkBinaryProjectionPushdownOneToOne(b *testing.B) { |
| 135 | + numSeries := 1000 |
| 136 | + lhsSeries := make([]labels.Labels, numSeries) |
| 137 | + rhsSeries := make([]labels.Labels, numSeries) |
| 138 | + for i := range numSeries { |
| 139 | + lhsSeries[i] = labels.FromStrings( |
| 140 | + "__name__", "metric_a", |
| 141 | + "cluster", "c1", |
| 142 | + "node", fmt.Sprintf("n%d", i), |
| 143 | + "namespace", fmt.Sprintf("ns%d", i), |
| 144 | + "pod", fmt.Sprintf("p%d", i), |
| 145 | + ) |
| 146 | + rhsSeries[i] = labels.FromStrings( |
| 147 | + "__name__", "metric_b", |
| 148 | + "cluster", "c1", |
| 149 | + "node", fmt.Sprintf("n%d", i), |
| 150 | + "env", fmt.Sprintf("e%d", i), |
| 151 | + ) |
| 152 | + } |
| 153 | + opts := &query.Options{ |
| 154 | + Start: time.Unix(0, 0), |
| 155 | + End: time.Unix(3000, 0), |
| 156 | + Step: 30 * time.Second, |
| 157 | + } |
| 158 | + matching := &parser.VectorMatching{ |
| 159 | + Card: parser.CardOneToOne, |
| 160 | + MatchingLabels: []string{"cluster", "node"}, |
| 161 | + On: true, |
| 162 | + } |
| 163 | + |
| 164 | + b.Run("without_projection", func(b *testing.B) { |
| 165 | + b.ReportAllocs() |
| 166 | + for b.Loop() { |
| 167 | + op, err := binary.NewVectorOperator( |
| 168 | + &mockOperator{series: lhsSeries}, |
| 169 | + &mockOperator{series: rhsSeries}, |
| 170 | + matching, |
| 171 | + parser.MUL, |
| 172 | + false, |
| 173 | + nil, |
| 174 | + opts, |
| 175 | + ) |
| 176 | + testutil.Ok(b, err) |
| 177 | + _, _ = op.Series(context.Background()) |
| 178 | + } |
| 179 | + }) |
| 180 | + b.Run("with_projection", func(b *testing.B) { |
| 181 | + projection := &logicalplan.Projection{ |
| 182 | + Labels: []string{"cluster", "node"}, |
| 183 | + Include: true, |
| 184 | + } |
| 185 | + b.ReportAllocs() |
| 186 | + for b.Loop() { |
| 187 | + op, err := binary.NewVectorOperator( |
| 188 | + &mockOperator{series: lhsSeries}, |
| 189 | + &mockOperator{series: rhsSeries}, |
| 190 | + matching, |
| 191 | + parser.MUL, |
| 192 | + false, |
| 193 | + projection, |
| 194 | + opts, |
| 195 | + ) |
| 196 | + testutil.Ok(b, err) |
| 197 | + _, _ = op.Series(context.Background()) |
| 198 | + } |
| 199 | + }) |
| 200 | +} |
| 201 | + |
| 202 | +func BenchmarkBinaryProjectionPushdownOneToMany(b *testing.B) { |
| 203 | + // One-to-many: LHS 100, RHS 10000 (RHS is high-card after swap in execution). |
| 204 | + lhsNum, rhsNum := 100, 10000 |
| 205 | + lhsSeries := make([]labels.Labels, lhsNum) |
| 206 | + rhsSeries := make([]labels.Labels, rhsNum) |
| 207 | + for i := range lhsNum { |
| 208 | + lhsSeries[i] = labels.FromStrings( |
| 209 | + "__name__", "kube_node_labels", |
| 210 | + "cluster", "c1", |
| 211 | + "node", fmt.Sprintf("n%d", i), |
| 212 | + "instance_type", fmt.Sprintf("t%d", i), |
| 213 | + ) |
| 214 | + } |
| 215 | + for i := range rhsNum { |
| 216 | + rhsSeries[i] = labels.FromStrings( |
| 217 | + "__name__", "kube_pod_info", |
| 218 | + "cluster", "c1", |
| 219 | + "node", fmt.Sprintf("n%d", i%lhsNum), |
| 220 | + "namespace", fmt.Sprintf("ns%d", i), |
| 221 | + "pod", fmt.Sprintf("p%d", i), |
| 222 | + ) |
| 223 | + } |
| 224 | + opts := &query.Options{ |
| 225 | + Start: time.Unix(0, 0), |
| 226 | + End: time.Unix(3000, 0), |
| 227 | + Step: 30 * time.Second, |
| 228 | + } |
| 229 | + // group_right(namespace): RHS many, include namespace from RHS. |
| 230 | + matching := &parser.VectorMatching{ |
| 231 | + Card: parser.CardOneToMany, |
| 232 | + MatchingLabels: []string{"cluster", "node"}, |
| 233 | + On: true, |
| 234 | + Include: []string{"namespace"}, |
| 235 | + } |
| 236 | + |
| 237 | + b.Run("without_projection", func(b *testing.B) { |
| 238 | + b.ReportAllocs() |
| 239 | + for b.Loop() { |
| 240 | + op, err := binary.NewVectorOperator( |
| 241 | + &mockOperator{series: lhsSeries}, |
| 242 | + &mockOperator{series: rhsSeries}, |
| 243 | + matching, |
| 244 | + parser.MUL, |
| 245 | + false, |
| 246 | + nil, |
| 247 | + opts, |
| 248 | + ) |
| 249 | + testutil.Ok(b, err) |
| 250 | + _, _ = op.Series(context.Background()) |
| 251 | + } |
| 252 | + }) |
| 253 | + b.Run("with_projection", func(b *testing.B) { |
| 254 | + projection := &logicalplan.Projection{ |
| 255 | + Labels: []string{"cluster", "node", "namespace"}, |
| 256 | + Include: true, |
| 257 | + } |
| 258 | + b.ReportAllocs() |
| 259 | + for b.Loop() { |
| 260 | + op, err := binary.NewVectorOperator( |
| 261 | + &mockOperator{series: lhsSeries}, |
| 262 | + &mockOperator{series: rhsSeries}, |
| 263 | + matching, |
| 264 | + parser.MUL, |
| 265 | + false, |
| 266 | + projection, |
| 267 | + opts, |
| 268 | + ) |
| 269 | + testutil.Ok(b, err) |
| 270 | + _, _ = op.Series(context.Background()) |
| 271 | + } |
| 272 | + }) |
| 273 | +} |
| 274 | + |
| 275 | +type mockOperator struct { |
| 276 | + series []labels.Labels |
| 277 | +} |
| 278 | + |
| 279 | +func (m *mockOperator) Series(context.Context) ([]labels.Labels, error) { |
| 280 | + return m.series, nil |
| 281 | +} |
| 282 | + |
| 283 | +func (m *mockOperator) Next(context.Context, []model.StepVector) (int, error) { |
| 284 | + return 0, nil |
| 285 | +} |
| 286 | + |
| 287 | +func (m *mockOperator) Explain() []model.VectorOperator { |
| 288 | + return nil |
| 289 | +} |
| 290 | + |
| 291 | +func (m *mockOperator) String() string { |
| 292 | + return "mock" |
| 293 | +} |
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