mirror of
https://github.com/prometheus/prometheus.git
synced 2024-11-13 17:14:05 -08:00
6719071a0f
* Optimize aggregations in PromQL engine Signed-off-by: Marco Pracucci <marco@pracucci.com>
268 lines
6.5 KiB
Go
268 lines
6.5 KiB
Go
// Copyright 2015 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 promql
|
|
|
|
import (
|
|
"context"
|
|
"fmt"
|
|
"strconv"
|
|
"strings"
|
|
"testing"
|
|
"time"
|
|
|
|
"github.com/prometheus/prometheus/pkg/labels"
|
|
"github.com/prometheus/prometheus/promql/parser"
|
|
"github.com/prometheus/prometheus/util/teststorage"
|
|
)
|
|
|
|
func BenchmarkRangeQuery(b *testing.B) {
|
|
storage := teststorage.New(b)
|
|
defer storage.Close()
|
|
opts := EngineOpts{
|
|
Logger: nil,
|
|
Reg: nil,
|
|
MaxSamples: 50000000,
|
|
Timeout: 100 * time.Second,
|
|
}
|
|
engine := NewEngine(opts)
|
|
|
|
metrics := []labels.Labels{}
|
|
metrics = append(metrics, labels.FromStrings("__name__", "a_one"))
|
|
metrics = append(metrics, labels.FromStrings("__name__", "b_one"))
|
|
for j := 0; j < 10; j++ {
|
|
metrics = append(metrics, labels.FromStrings("__name__", "h_one", "le", strconv.Itoa(j)))
|
|
}
|
|
metrics = append(metrics, labels.FromStrings("__name__", "h_one", "le", "+Inf"))
|
|
|
|
for i := 0; i < 10; i++ {
|
|
metrics = append(metrics, labels.FromStrings("__name__", "a_ten", "l", strconv.Itoa(i)))
|
|
metrics = append(metrics, labels.FromStrings("__name__", "b_ten", "l", strconv.Itoa(i)))
|
|
for j := 0; j < 10; j++ {
|
|
metrics = append(metrics, labels.FromStrings("__name__", "h_ten", "l", strconv.Itoa(i), "le", strconv.Itoa(j)))
|
|
}
|
|
metrics = append(metrics, labels.FromStrings("__name__", "h_ten", "l", strconv.Itoa(i), "le", "+Inf"))
|
|
}
|
|
|
|
for i := 0; i < 100; i++ {
|
|
metrics = append(metrics, labels.FromStrings("__name__", "a_hundred", "l", strconv.Itoa(i)))
|
|
metrics = append(metrics, labels.FromStrings("__name__", "b_hundred", "l", strconv.Itoa(i)))
|
|
for j := 0; j < 10; j++ {
|
|
metrics = append(metrics, labels.FromStrings("__name__", "h_hundred", "l", strconv.Itoa(i), "le", strconv.Itoa(j)))
|
|
}
|
|
metrics = append(metrics, labels.FromStrings("__name__", "h_hundred", "l", strconv.Itoa(i), "le", "+Inf"))
|
|
}
|
|
refs := make([]uint64, len(metrics))
|
|
|
|
// A day of data plus 10k steps.
|
|
numIntervals := 8640 + 10000
|
|
|
|
for s := 0; s < numIntervals; s++ {
|
|
a := storage.Appender(context.Background())
|
|
ts := int64(s * 10000) // 10s interval.
|
|
for i, metric := range metrics {
|
|
ref, _ := a.Append(refs[i], metric, ts, float64(s))
|
|
refs[i] = ref
|
|
}
|
|
if err := a.Commit(); err != nil {
|
|
b.Fatal(err)
|
|
}
|
|
}
|
|
|
|
type benchCase struct {
|
|
expr string
|
|
steps int
|
|
}
|
|
cases := []benchCase{
|
|
// Plain retrieval.
|
|
{
|
|
expr: "a_X",
|
|
},
|
|
// Simple rate.
|
|
{
|
|
expr: "rate(a_X[1m])",
|
|
},
|
|
{
|
|
expr: "rate(a_X[1m])",
|
|
steps: 10000,
|
|
},
|
|
// Holt-Winters and long ranges.
|
|
{
|
|
expr: "holt_winters(a_X[1d], 0.3, 0.3)",
|
|
},
|
|
{
|
|
expr: "changes(a_X[1d])",
|
|
},
|
|
{
|
|
expr: "rate(a_X[1d])",
|
|
},
|
|
{
|
|
expr: "absent_over_time(a_X[1d])",
|
|
},
|
|
// Unary operators.
|
|
{
|
|
expr: "-a_X",
|
|
},
|
|
// Binary operators.
|
|
{
|
|
expr: "a_X - b_X",
|
|
},
|
|
{
|
|
expr: "a_X - b_X",
|
|
steps: 10000,
|
|
},
|
|
{
|
|
expr: "a_X and b_X{l=~'.*[0-4]$'}",
|
|
},
|
|
{
|
|
expr: "a_X or b_X{l=~'.*[0-4]$'}",
|
|
},
|
|
{
|
|
expr: "a_X unless b_X{l=~'.*[0-4]$'}",
|
|
},
|
|
// Simple functions.
|
|
{
|
|
expr: "abs(a_X)",
|
|
},
|
|
{
|
|
expr: "label_replace(a_X, 'l2', '$1', 'l', '(.*)')",
|
|
},
|
|
{
|
|
expr: "label_join(a_X, 'l2', '-', 'l', 'l')",
|
|
},
|
|
// Simple aggregations.
|
|
{
|
|
expr: "sum(a_X)",
|
|
},
|
|
{
|
|
expr: "sum without (l)(h_X)",
|
|
},
|
|
{
|
|
expr: "sum without (le)(h_X)",
|
|
},
|
|
{
|
|
expr: "sum by (l)(h_X)",
|
|
},
|
|
{
|
|
expr: "sum by (le)(h_X)",
|
|
},
|
|
{
|
|
expr: "count_values('value', h_X)",
|
|
},
|
|
// Combinations.
|
|
{
|
|
expr: "rate(a_X[1m]) + rate(b_X[1m])",
|
|
},
|
|
{
|
|
expr: "sum without (l)(rate(a_X[1m]))",
|
|
},
|
|
{
|
|
expr: "sum without (l)(rate(a_X[1m])) / sum without (l)(rate(b_X[1m]))",
|
|
},
|
|
{
|
|
expr: "histogram_quantile(0.9, rate(h_X[5m]))",
|
|
},
|
|
}
|
|
|
|
// X in an expr will be replaced by different metric sizes.
|
|
tmp := []benchCase{}
|
|
for _, c := range cases {
|
|
if !strings.Contains(c.expr, "X") {
|
|
tmp = append(tmp, c)
|
|
} else {
|
|
tmp = append(tmp, benchCase{expr: strings.Replace(c.expr, "X", "one", -1), steps: c.steps})
|
|
tmp = append(tmp, benchCase{expr: strings.Replace(c.expr, "X", "ten", -1), steps: c.steps})
|
|
tmp = append(tmp, benchCase{expr: strings.Replace(c.expr, "X", "hundred", -1), steps: c.steps})
|
|
}
|
|
}
|
|
cases = tmp
|
|
|
|
// No step will be replaced by cases with the standard step.
|
|
tmp = []benchCase{}
|
|
for _, c := range cases {
|
|
if c.steps != 0 {
|
|
tmp = append(tmp, c)
|
|
} else {
|
|
tmp = append(tmp, benchCase{expr: c.expr, steps: 1})
|
|
tmp = append(tmp, benchCase{expr: c.expr, steps: 10})
|
|
tmp = append(tmp, benchCase{expr: c.expr, steps: 100})
|
|
tmp = append(tmp, benchCase{expr: c.expr, steps: 1000})
|
|
}
|
|
}
|
|
cases = tmp
|
|
for _, c := range cases {
|
|
name := fmt.Sprintf("expr=%s,steps=%d", c.expr, c.steps)
|
|
b.Run(name, func(b *testing.B) {
|
|
b.ReportAllocs()
|
|
for i := 0; i < b.N; i++ {
|
|
qry, err := engine.NewRangeQuery(
|
|
storage, c.expr,
|
|
time.Unix(int64((numIntervals-c.steps)*10), 0),
|
|
time.Unix(int64(numIntervals*10), 0), time.Second*10)
|
|
if err != nil {
|
|
b.Fatal(err)
|
|
}
|
|
res := qry.Exec(context.Background())
|
|
if res.Err != nil {
|
|
b.Fatal(res.Err)
|
|
}
|
|
qry.Close()
|
|
}
|
|
})
|
|
}
|
|
}
|
|
|
|
func BenchmarkParser(b *testing.B) {
|
|
cases := []string{
|
|
"a",
|
|
"metric",
|
|
"1",
|
|
"1 >= bool 1",
|
|
"1 + 2/(3*1)",
|
|
"foo or bar",
|
|
"foo and bar unless baz or qux",
|
|
"bar + on(foo) bla / on(baz, buz) group_right(test) blub",
|
|
"foo / ignoring(test,blub) group_left(blub) bar",
|
|
"foo - ignoring(test,blub) group_right(bar,foo) bar",
|
|
`foo{a="b", foo!="bar", test=~"test", bar!~"baz"}`,
|
|
`min_over_time(rate(foo{bar="baz"}[2s])[5m:])[4m:3s]`,
|
|
"sum without(and, by, avg, count, alert, annotations)(some_metric) [30m:10s]",
|
|
}
|
|
errCases := []string{
|
|
"(",
|
|
"}",
|
|
"1 or 1",
|
|
"1 or on(bar) foo",
|
|
"foo unless on(bar) group_left(baz) bar",
|
|
"test[5d] OFFSET 10s [10m:5s]",
|
|
}
|
|
|
|
for _, c := range cases {
|
|
b.Run(c, func(b *testing.B) {
|
|
b.ReportAllocs()
|
|
for i := 0; i < b.N; i++ {
|
|
parser.ParseExpr(c)
|
|
}
|
|
})
|
|
}
|
|
for _, c := range errCases {
|
|
name := fmt.Sprintf("%s (should fail)", c)
|
|
b.Run(name, func(b *testing.B) {
|
|
b.ReportAllocs()
|
|
for i := 0; i < b.N; i++ {
|
|
parser.ParseExpr(c)
|
|
}
|
|
})
|
|
}
|
|
}
|