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314 lines
7.5 KiB
314 lines
7.5 KiB
// Copyright 2015 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 promql |
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import ( |
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"context" |
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"fmt" |
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"strconv" |
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"strings" |
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"testing" |
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"time" |
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"github.com/prometheus/prometheus/model/labels" |
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"github.com/prometheus/prometheus/promql/parser" |
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"github.com/prometheus/prometheus/storage" |
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"github.com/prometheus/prometheus/util/teststorage" |
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) |
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func setupRangeQueryTestData(stor *teststorage.TestStorage, _ *Engine, interval, numIntervals int) error { |
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ctx := context.Background() |
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metrics := []labels.Labels{} |
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metrics = append(metrics, labels.FromStrings("__name__", "a_one")) |
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metrics = append(metrics, labels.FromStrings("__name__", "b_one")) |
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for j := 0; j < 10; j++ { |
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metrics = append(metrics, labels.FromStrings("__name__", "h_one", "le", strconv.Itoa(j))) |
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} |
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metrics = append(metrics, labels.FromStrings("__name__", "h_one", "le", "+Inf")) |
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for i := 0; i < 10; i++ { |
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metrics = append(metrics, labels.FromStrings("__name__", "a_ten", "l", strconv.Itoa(i))) |
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metrics = append(metrics, labels.FromStrings("__name__", "b_ten", "l", strconv.Itoa(i))) |
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for j := 0; j < 10; j++ { |
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metrics = append(metrics, labels.FromStrings("__name__", "h_ten", "l", strconv.Itoa(i), "le", strconv.Itoa(j))) |
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} |
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metrics = append(metrics, labels.FromStrings("__name__", "h_ten", "l", strconv.Itoa(i), "le", "+Inf")) |
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} |
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for i := 0; i < 100; i++ { |
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metrics = append(metrics, labels.FromStrings("__name__", "a_hundred", "l", strconv.Itoa(i))) |
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metrics = append(metrics, labels.FromStrings("__name__", "b_hundred", "l", strconv.Itoa(i))) |
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for j := 0; j < 10; j++ { |
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metrics = append(metrics, labels.FromStrings("__name__", "h_hundred", "l", strconv.Itoa(i), "le", strconv.Itoa(j))) |
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} |
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metrics = append(metrics, labels.FromStrings("__name__", "h_hundred", "l", strconv.Itoa(i), "le", "+Inf")) |
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} |
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refs := make([]storage.SeriesRef, len(metrics)) |
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for s := 0; s < numIntervals; s++ { |
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a := stor.Appender(context.Background()) |
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ts := int64(s * interval) |
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for i, metric := range metrics { |
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ref, _ := a.Append(refs[i], metric, ts, float64(s)+float64(i)/float64(len(metrics))) |
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refs[i] = ref |
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} |
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if err := a.Commit(); err != nil { |
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return err |
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} |
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} |
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stor.DB.ForceHeadMMap() // Ensure we have at most one head chunk for every series. |
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stor.DB.Compact(ctx) |
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return nil |
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} |
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type benchCase struct { |
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expr string |
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steps int |
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} |
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func rangeQueryCases() []benchCase { |
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cases := []benchCase{ |
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// Plain retrieval. |
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{ |
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expr: "a_X", |
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}, |
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// Simple rate. |
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{ |
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expr: "rate(a_X[1m])", |
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}, |
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{ |
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expr: "rate(a_X[1m])", |
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steps: 10000, |
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}, |
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// Holt-Winters and long ranges. |
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{ |
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expr: "holt_winters(a_X[1d], 0.3, 0.3)", |
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}, |
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{ |
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expr: "changes(a_X[1d])", |
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}, |
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{ |
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expr: "rate(a_X[1d])", |
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}, |
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{ |
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expr: "absent_over_time(a_X[1d])", |
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}, |
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// Unary operators. |
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{ |
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expr: "-a_X", |
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}, |
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// Binary operators. |
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{ |
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expr: "a_X - b_X", |
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}, |
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{ |
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expr: "a_X - b_X", |
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steps: 10000, |
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}, |
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{ |
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expr: "a_X and b_X{l=~'.*[0-4]$'}", |
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}, |
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{ |
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expr: "a_X or b_X{l=~'.*[0-4]$'}", |
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}, |
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{ |
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expr: "a_X unless b_X{l=~'.*[0-4]$'}", |
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}, |
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{ |
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expr: "a_X and b_X{l='notfound'}", |
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}, |
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// Simple functions. |
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{ |
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expr: "abs(a_X)", |
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}, |
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{ |
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expr: "label_replace(a_X, 'l2', '$1', 'l', '(.*)')", |
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}, |
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{ |
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expr: "label_join(a_X, 'l2', '-', 'l', 'l')", |
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}, |
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// Simple aggregations. |
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{ |
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expr: "sum(a_X)", |
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}, |
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{ |
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expr: "sum without (l)(h_X)", |
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}, |
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{ |
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expr: "sum without (le)(h_X)", |
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}, |
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{ |
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expr: "sum by (l)(h_X)", |
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}, |
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{ |
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expr: "sum by (le)(h_X)", |
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}, |
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{ |
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expr: "count_values('value', h_X)", |
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steps: 100, |
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}, |
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{ |
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expr: "topk(1, a_X)", |
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}, |
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{ |
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expr: "topk(5, a_X)", |
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}, |
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// Combinations. |
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{ |
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expr: "rate(a_X[1m]) + rate(b_X[1m])", |
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}, |
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{ |
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expr: "sum without (l)(rate(a_X[1m]))", |
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}, |
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{ |
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expr: "sum without (l)(rate(a_X[1m])) / sum without (l)(rate(b_X[1m]))", |
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}, |
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{ |
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expr: "histogram_quantile(0.9, rate(h_X[5m]))", |
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}, |
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// Many-to-one join. |
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{ |
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expr: "a_X + on(l) group_right a_one", |
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}, |
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// Label compared to blank string. |
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{ |
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expr: "count({__name__!=\"\"})", |
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steps: 1, |
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}, |
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{ |
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expr: "count({__name__!=\"\",l=\"\"})", |
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steps: 1, |
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}, |
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// Functions which have special handling inside eval() |
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{ |
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expr: "timestamp(a_X)", |
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}, |
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} |
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// X in an expr will be replaced by different metric sizes. |
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tmp := []benchCase{} |
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for _, c := range cases { |
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if !strings.Contains(c.expr, "X") { |
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tmp = append(tmp, c) |
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} else { |
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tmp = append(tmp, benchCase{expr: strings.ReplaceAll(c.expr, "X", "one"), steps: c.steps}) |
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tmp = append(tmp, benchCase{expr: strings.ReplaceAll(c.expr, "X", "ten"), steps: c.steps}) |
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tmp = append(tmp, benchCase{expr: strings.ReplaceAll(c.expr, "X", "hundred"), steps: c.steps}) |
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} |
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} |
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cases = tmp |
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// No step will be replaced by cases with the standard step. |
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tmp = []benchCase{} |
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for _, c := range cases { |
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if c.steps != 0 { |
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tmp = append(tmp, c) |
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} else { |
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tmp = append(tmp, benchCase{expr: c.expr, steps: 1}) |
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tmp = append(tmp, benchCase{expr: c.expr, steps: 100}) |
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tmp = append(tmp, benchCase{expr: c.expr, steps: 1000}) |
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} |
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} |
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return tmp |
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} |
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func BenchmarkRangeQuery(b *testing.B) { |
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stor := teststorage.New(b) |
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stor.DB.DisableCompactions() // Don't want auto-compaction disrupting timings. |
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defer stor.Close() |
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opts := EngineOpts{ |
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Logger: nil, |
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Reg: nil, |
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MaxSamples: 50000000, |
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Timeout: 100 * time.Second, |
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} |
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engine := NewEngine(opts) |
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const interval = 10000 // 10s interval. |
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// A day of data plus 10k steps. |
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numIntervals := 8640 + 10000 |
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err := setupRangeQueryTestData(stor, engine, interval, numIntervals) |
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if err != nil { |
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b.Fatal(err) |
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} |
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cases := rangeQueryCases() |
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for _, c := range cases { |
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name := fmt.Sprintf("expr=%s,steps=%d", c.expr, c.steps) |
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b.Run(name, func(b *testing.B) { |
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ctx := context.Background() |
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b.ReportAllocs() |
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for i := 0; i < b.N; i++ { |
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qry, err := engine.NewRangeQuery( |
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ctx, stor, nil, c.expr, |
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time.Unix(int64((numIntervals-c.steps)*10), 0), |
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time.Unix(int64(numIntervals*10), 0), time.Second*10) |
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if err != nil { |
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b.Fatal(err) |
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} |
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res := qry.Exec(ctx) |
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if res.Err != nil { |
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b.Fatal(res.Err) |
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} |
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qry.Close() |
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} |
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}) |
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} |
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} |
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func BenchmarkParser(b *testing.B) { |
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cases := []string{ |
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"a", |
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"metric", |
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"1", |
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"1 >= bool 1", |
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"1 + 2/(3*1)", |
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"foo or bar", |
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"foo and bar unless baz or qux", |
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"bar + on(foo) bla / on(baz, buz) group_right(test) blub", |
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"foo / ignoring(test,blub) group_left(blub) bar", |
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"foo - ignoring(test,blub) group_right(bar,foo) bar", |
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`foo{a="b", foo!="bar", test=~"test", bar!~"baz"}`, |
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`min_over_time(rate(foo{bar="baz"}[2s])[5m:])[4m:3s]`, |
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"sum without(and, by, avg, count, alert, annotations)(some_metric) [30m:10s]", |
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} |
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errCases := []string{ |
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"(", |
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"}", |
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"1 or 1", |
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"1 or on(bar) foo", |
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"foo unless on(bar) group_left(baz) bar", |
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"test[5d] OFFSET 10s [10m:5s]", |
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} |
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for _, c := range cases { |
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b.Run(c, func(b *testing.B) { |
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b.ReportAllocs() |
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for i := 0; i < b.N; i++ { |
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parser.ParseExpr(c) |
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} |
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}) |
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} |
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for _, c := range errCases { |
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name := fmt.Sprintf("%s (should fail)", c) |
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b.Run(name, func(b *testing.B) { |
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b.ReportAllocs() |
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for i := 0; i < b.N; i++ { |
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parser.ParseExpr(c) |
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} |
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}) |
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} |
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}
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