prometheus/promql/engine_test.go

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// Copyright 2016 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"
"errors"
"io/ioutil"
"os"
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
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"sort"
"strings"
"testing"
"time"
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"github.com/go-kit/kit/log"
"github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/promql/parser"
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"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/util/testutil"
)
func TestQueryConcurrency(t *testing.T) {
maxConcurrency := 10
dir, err := ioutil.TempDir("", "test_concurrency")
testutil.Ok(t, err)
defer os.RemoveAll(dir)
queryTracker := NewActiveQueryTracker(dir, maxConcurrency, nil)
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 100 * time.Second,
ActiveQueryTracker: queryTracker,
}
engine := NewEngine(opts)
ctx, cancelCtx := context.WithCancel(context.Background())
defer cancelCtx()
block := make(chan struct{})
processing := make(chan struct{})
f := func(context.Context) error {
processing <- struct{}{}
<-block
return nil
}
for i := 0; i < maxConcurrency; i++ {
q := engine.newTestQuery(f)
go q.Exec(ctx)
select {
case <-processing:
// Expected.
case <-time.After(20 * time.Millisecond):
t.Fatalf("Query within concurrency threshold not being executed")
}
}
q := engine.newTestQuery(f)
go q.Exec(ctx)
select {
case <-processing:
t.Fatalf("Query above concurrency threshold being executed")
case <-time.After(20 * time.Millisecond):
// Expected.
}
// Terminate a running query.
block <- struct{}{}
select {
case <-processing:
// Expected.
case <-time.After(20 * time.Millisecond):
t.Fatalf("Query within concurrency threshold not being executed")
}
// Terminate remaining queries.
for i := 0; i < maxConcurrency; i++ {
block <- struct{}{}
}
}
func TestQueryTimeout(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 5 * time.Millisecond,
}
engine := NewEngine(opts)
ctx, cancelCtx := context.WithCancel(context.Background())
defer cancelCtx()
query := engine.newTestQuery(func(ctx context.Context) error {
time.Sleep(100 * time.Millisecond)
return contextDone(ctx, "test statement execution")
})
res := query.Exec(ctx)
testutil.NotOk(t, res.Err, "expected timeout error but got none")
var e ErrQueryTimeout
// TODO: when circleci-windows moves to go 1.13:
// testutil.Assert(t, errors.As(res.Err, &e), "expected timeout error but got: %s", res.Err)
testutil.Assert(t, strings.HasPrefix(res.Err.Error(), e.Error()), "expected timeout error but got: %s", res.Err)
}
const errQueryCanceled = ErrQueryCanceled("test statement execution")
func TestQueryCancel(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 10 * time.Second,
}
engine := NewEngine(opts)
ctx, cancelCtx := context.WithCancel(context.Background())
defer cancelCtx()
// Cancel a running query before it completes.
block := make(chan struct{})
processing := make(chan struct{})
query1 := engine.newTestQuery(func(ctx context.Context) error {
processing <- struct{}{}
<-block
return contextDone(ctx, "test statement execution")
})
var res *Result
go func() {
res = query1.Exec(ctx)
processing <- struct{}{}
}()
<-processing
query1.Cancel()
block <- struct{}{}
<-processing
testutil.NotOk(t, res.Err, "expected cancellation error for query1 but got none")
testutil.Equals(t, errQueryCanceled, res.Err)
// Canceling a query before starting it must have no effect.
query2 := engine.newTestQuery(func(ctx context.Context) error {
return contextDone(ctx, "test statement execution")
})
query2.Cancel()
res = query2.Exec(ctx)
testutil.Ok(t, res.Err)
}
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// errQuerier implements storage.Querier which always returns error.
type errQuerier struct {
err error
}
func (q *errQuerier) Select(*storage.SelectParams, ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
return errSeriesSet{err: q.err}, nil, q.err
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}
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
func (q *errQuerier) SelectSorted(*storage.SelectParams, ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
return errSeriesSet{err: q.err}, nil, q.err
}
func (*errQuerier) LabelValues(name string) ([]string, storage.Warnings, error) { return nil, nil, nil }
func (*errQuerier) LabelNames() ([]string, storage.Warnings, error) { return nil, nil, nil }
func (*errQuerier) Close() error { return nil }
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// errSeriesSet implements storage.SeriesSet which always returns error.
type errSeriesSet struct {
err error
}
func (errSeriesSet) Next() bool { return false }
func (errSeriesSet) At() storage.Series { return nil }
func (e errSeriesSet) Err() error { return e.err }
func TestQueryError(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 10 * time.Second,
}
engine := NewEngine(opts)
errStorage := ErrStorage{errors.New("storage error")}
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queryable := storage.QueryableFunc(func(ctx context.Context, mint, maxt int64) (storage.Querier, error) {
return &errQuerier{err: errStorage}, nil
})
ctx, cancelCtx := context.WithCancel(context.Background())
defer cancelCtx()
vectorQuery, err := engine.NewInstantQuery(queryable, "foo", time.Unix(1, 0))
testutil.Ok(t, err)
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res := vectorQuery.Exec(ctx)
testutil.NotOk(t, res.Err, "expected error on failed select but got none")
testutil.Equals(t, errStorage, res.Err)
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matrixQuery, err := engine.NewInstantQuery(queryable, "foo[1m]", time.Unix(1, 0))
testutil.Ok(t, err)
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res = matrixQuery.Exec(ctx)
testutil.NotOk(t, res.Err, "expected error on failed select but got none")
testutil.Equals(t, errStorage, res.Err)
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}
// paramCheckerQuerier implements storage.Querier which checks the start and end times
// in params.
type paramCheckerQuerier struct {
start int64
end int64
grouping []string
by bool
selRange int64
function string
t *testing.T
}
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
func (q *paramCheckerQuerier) Select(sp *storage.SelectParams, m ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
return q.SelectSorted(sp, m...)
}
func (q *paramCheckerQuerier) SelectSorted(sp *storage.SelectParams, _ ...*labels.Matcher) (storage.SeriesSet, storage.Warnings, error) {
testutil.Equals(q.t, q.start, sp.Start)
testutil.Equals(q.t, q.end, sp.End)
testutil.Equals(q.t, q.grouping, sp.Grouping)
testutil.Equals(q.t, q.by, sp.By)
testutil.Equals(q.t, q.selRange, sp.Range)
testutil.Equals(q.t, q.function, sp.Func)
return errSeriesSet{err: nil}, nil, nil
}
func (*paramCheckerQuerier) LabelValues(name string) ([]string, storage.Warnings, error) {
return nil, nil, nil
}
func (*paramCheckerQuerier) LabelNames() ([]string, storage.Warnings, error) { return nil, nil, nil }
func (*paramCheckerQuerier) Close() error { return nil }
func TestParamsSetCorrectly(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 10 * time.Second,
LookbackDelta: 5 * time.Second,
}
cases := []struct {
query string
// All times are in seconds.
start int64
end int64
paramStart int64
paramEnd int64
paramGrouping []string
paramBy bool
paramRange int64
paramFunc string
}{{
query: "foo",
start: 10,
paramStart: 5,
paramEnd: 10,
}, {
query: "foo[2m]",
start: 200,
paramStart: 80, // 200 - 120
paramEnd: 200,
paramRange: 120000,
}, {
query: "foo[2m] offset 2m",
start: 300,
paramStart: 60,
paramEnd: 180,
paramRange: 120000,
}, {
query: "foo[2m:1s]",
start: 300,
paramStart: 175, // 300 - 120 - 5
paramEnd: 300,
}, {
query: "count_over_time(foo[2m:1s])",
start: 300,
paramStart: 175, // 300 - 120 - 5
paramEnd: 300,
paramFunc: "count_over_time",
}, {
query: "count_over_time(foo[2m:1s] offset 10s)",
start: 300,
paramStart: 165, // 300 - 120 - 5 - 10
paramEnd: 300,
paramFunc: "count_over_time",
}, {
query: "count_over_time((foo offset 10s)[2m:1s] offset 10s)",
start: 300,
paramStart: 155, // 300 - 120 - 5 - 10 - 10
paramEnd: 290,
paramFunc: "count_over_time",
}, {
// Range queries now.
query: "foo",
start: 10,
end: 20,
paramStart: 5,
paramEnd: 20,
}, {
query: "rate(foo[2m])",
start: 200,
end: 500,
paramStart: 80, // 200 - 120
paramEnd: 500,
paramRange: 120000,
paramFunc: "rate",
}, {
query: "rate(foo[2m] offset 2m)",
start: 300,
end: 500,
paramStart: 60,
paramEnd: 380,
paramRange: 120000,
paramFunc: "rate",
}, {
query: "rate(foo[2m:1s])",
start: 300,
end: 500,
paramStart: 175, // 300 - 120 - 5
paramEnd: 500,
paramFunc: "rate",
}, {
query: "count_over_time(foo[2m:1s])",
start: 300,
end: 500,
paramStart: 175, // 300 - 120 - 5
paramEnd: 500,
paramFunc: "count_over_time",
}, {
query: "count_over_time(foo[2m:1s] offset 10s)",
start: 300,
end: 500,
paramStart: 165, // 300 - 120 - 5 - 10
paramEnd: 500,
paramFunc: "count_over_time",
}, {
query: "count_over_time((foo offset 10s)[2m:1s] offset 10s)",
start: 300,
end: 500,
paramStart: 155, // 300 - 120 - 5 - 10 - 10
paramEnd: 490,
paramFunc: "count_over_time",
}, {
query: "sum by (dim1) (foo)",
start: 10,
paramStart: 5,
paramEnd: 10,
paramGrouping: []string{"dim1"},
paramBy: true,
paramFunc: "sum",
}, {
query: "sum without (dim1) (foo)",
start: 10,
paramStart: 5,
paramEnd: 10,
paramGrouping: []string{"dim1"},
paramBy: false,
paramFunc: "sum",
}, {
query: "sum by (dim1) (avg_over_time(foo[1s]))",
start: 10,
paramStart: 9,
paramEnd: 10,
paramGrouping: nil,
paramBy: false,
paramRange: 1000,
paramFunc: "avg_over_time",
}, {
query: "sum by (dim1) (max by (dim2) (foo))",
start: 10,
paramStart: 5,
paramEnd: 10,
paramGrouping: []string{"dim2"},
paramBy: true,
paramFunc: "max",
}, {
query: "(max by (dim1) (foo))[5s:1s]",
start: 10,
paramStart: 0,
paramEnd: 10,
paramGrouping: []string{"dim1"},
paramBy: true,
paramFunc: "max",
}}
for _, tc := range cases {
engine := NewEngine(opts)
queryable := storage.QueryableFunc(func(ctx context.Context, mint, maxt int64) (storage.Querier, error) {
return &paramCheckerQuerier{start: tc.paramStart * 1000, end: tc.paramEnd * 1000, grouping: tc.paramGrouping, by: tc.paramBy, selRange: tc.paramRange, function: tc.paramFunc, t: t}, nil
})
var (
query Query
err error
)
if tc.end == 0 {
query, err = engine.NewInstantQuery(queryable, tc.query, time.Unix(tc.start, 0))
} else {
query, err = engine.NewRangeQuery(queryable, tc.query, time.Unix(tc.start, 0), time.Unix(tc.end, 0), time.Second)
}
testutil.Ok(t, err)
res := query.Exec(context.Background())
testutil.Ok(t, res.Err)
}
}
func TestEngineShutdown(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 10 * time.Second,
}
engine := NewEngine(opts)
ctx, cancelCtx := context.WithCancel(context.Background())
block := make(chan struct{})
processing := make(chan struct{})
// Shutdown engine on first handler execution. Should handler execution ever become
// concurrent this test has to be adjusted accordingly.
f := func(ctx context.Context) error {
processing <- struct{}{}
<-block
return contextDone(ctx, "test statement execution")
}
query1 := engine.newTestQuery(f)
// Stopping the engine must cancel the base context. While executing queries is
// still possible, their context is canceled from the beginning and execution should
// terminate immediately.
var res *Result
go func() {
res = query1.Exec(ctx)
processing <- struct{}{}
}()
<-processing
cancelCtx()
block <- struct{}{}
<-processing
testutil.NotOk(t, res.Err, "expected error on shutdown during query but got none")
testutil.Equals(t, errQueryCanceled, res.Err)
query2 := engine.newTestQuery(func(context.Context) error {
t.Fatalf("reached query execution unexpectedly")
return nil
})
// The second query is started after the engine shut down. It must
// be canceled immediately.
res2 := query2.Exec(ctx)
testutil.NotOk(t, res2.Err, "expected error on querying with canceled context but got none")
var e ErrQueryCanceled
// TODO: when circleci-windows moves to go 1.13:
// testutil.Assert(t, errors.As(res2.Err, &e), "expected cancellation error but got: %s", res2.Err)
testutil.Assert(t, strings.HasPrefix(res2.Err.Error(), e.Error()), "expected cancellation error but got: %s", res2.Err)
}
func TestEngineEvalStmtTimestamps(t *testing.T) {
test, err := NewTest(t, `
load 10s
metric 1 2
`)
testutil.Ok(t, err)
defer test.Close()
err = test.Run()
testutil.Ok(t, err)
cases := []struct {
Query string
Result parser.Value
Start time.Time
End time.Time
Interval time.Duration
ShouldError bool
}{
// Instant queries.
{
Query: "1",
Result: Scalar{V: 1, T: 1000},
Start: time.Unix(1, 0),
},
{
Query: "metric",
Result: Vector{
Sample{Point: Point{V: 1, T: 1000},
Metric: labels.FromStrings("__name__", "metric")},
},
Start: time.Unix(1, 0),
},
{
Query: "metric[20s]",
Result: Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
Start: time.Unix(10, 0),
},
// Range queries.
{
Query: "1",
Result: Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 1000}, {V: 1, T: 2000}},
Metric: labels.FromStrings()},
},
Start: time.Unix(0, 0),
End: time.Unix(2, 0),
Interval: time.Second,
},
{
Query: "metric",
Result: Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 1000}, {V: 1, T: 2000}},
Metric: labels.FromStrings("__name__", "metric")},
},
Start: time.Unix(0, 0),
End: time.Unix(2, 0),
Interval: time.Second,
},
{
Query: "metric",
Result: Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 5000}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
Start: time.Unix(0, 0),
End: time.Unix(10, 0),
Interval: 5 * time.Second,
},
{
Query: `count_values("wrong label!", metric)`,
ShouldError: true,
},
}
for _, c := range cases {
var err error
var qry Query
if c.Interval == 0 {
qry, err = test.QueryEngine().NewInstantQuery(test.Queryable(), c.Query, c.Start)
} else {
qry, err = test.QueryEngine().NewRangeQuery(test.Queryable(), c.Query, c.Start, c.End, c.Interval)
}
testutil.Ok(t, err)
res := qry.Exec(test.Context())
if c.ShouldError {
testutil.NotOk(t, res.Err, "expected error for the query %q", c.Query)
continue
}
testutil.Ok(t, res.Err)
testutil.Equals(t, c.Result, res.Value)
}
}
func TestMaxQuerySamples(t *testing.T) {
test, err := NewTest(t, `
load 10s
metric 1 2
`)
testutil.Ok(t, err)
defer test.Close()
err = test.Run()
testutil.Ok(t, err)
cases := []struct {
Query string
MaxSamples int
Result Result
Start time.Time
End time.Time
Interval time.Duration
}{
// Instant queries.
{
Query: "1",
MaxSamples: 1,
Result: Result{
nil,
Scalar{V: 1, T: 1000},
nil},
Start: time.Unix(1, 0),
},
{
Query: "1",
MaxSamples: 0,
Result: Result{
ErrTooManySamples(env),
nil,
nil,
},
Start: time.Unix(1, 0),
},
{
Query: "metric",
MaxSamples: 0,
Result: Result{
ErrTooManySamples(env),
nil,
nil,
},
Start: time.Unix(1, 0),
},
{
Query: "metric",
MaxSamples: 1,
Result: Result{
nil,
Vector{
Sample{Point: Point{V: 1, T: 1000},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(1, 0),
},
{
Query: "metric[20s]",
MaxSamples: 2,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(10, 0),
},
{
Query: "rate(metric[20s])",
MaxSamples: 3,
Result: Result{
nil,
Vector{
Sample{
Point: Point{V: 0.1, T: 10000},
Metric: labels.Labels{},
},
},
nil,
},
Start: time.Unix(10, 0),
},
{
Query: "metric[20s:5s]",
MaxSamples: 3,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 5000}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(10, 0),
},
{
Query: "metric[20s]",
MaxSamples: 0,
Result: Result{
ErrTooManySamples(env),
nil,
nil,
},
Start: time.Unix(10, 0),
},
// Range queries.
{
Query: "1",
MaxSamples: 3,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 1000}, {V: 1, T: 2000}},
Metric: labels.FromStrings()},
},
nil,
},
Start: time.Unix(0, 0),
End: time.Unix(2, 0),
Interval: time.Second,
},
{
Query: "1",
MaxSamples: 0,
Result: Result{
ErrTooManySamples(env),
nil,
nil,
},
Start: time.Unix(0, 0),
End: time.Unix(2, 0),
Interval: time.Second,
},
{
Query: "metric",
MaxSamples: 3,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 1000}, {V: 1, T: 2000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(0, 0),
End: time.Unix(2, 0),
Interval: time.Second,
},
{
Query: "metric",
MaxSamples: 2,
Result: Result{
ErrTooManySamples(env),
nil,
nil,
},
Start: time.Unix(0, 0),
End: time.Unix(2, 0),
Interval: time.Second,
},
{
Query: "metric",
MaxSamples: 3,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 5000}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(0, 0),
End: time.Unix(10, 0),
Interval: 5 * time.Second,
},
{
Query: "metric",
MaxSamples: 2,
Result: Result{
ErrTooManySamples(env),
nil,
nil,
},
Start: time.Unix(0, 0),
End: time.Unix(10, 0),
Interval: 5 * time.Second,
},
}
engine := test.QueryEngine()
for _, c := range cases {
var err error
var qry Query
engine.maxSamplesPerQuery = c.MaxSamples
if c.Interval == 0 {
qry, err = engine.NewInstantQuery(test.Queryable(), c.Query, c.Start)
} else {
qry, err = engine.NewRangeQuery(test.Queryable(), c.Query, c.Start, c.End, c.Interval)
}
testutil.Ok(t, err)
res := qry.Exec(test.Context())
testutil.Equals(t, c.Result.Err, res.Err)
testutil.Equals(t, c.Result.Value, res.Value)
}
}
func TestRecoverEvaluatorRuntime(t *testing.T) {
2017-08-11 11:45:52 -07:00
ev := &evaluator{logger: log.NewNopLogger()}
var err error
defer ev.recover(&err)
// Cause a runtime panic.
var a []int
//nolint:govet
a[123] = 1
if err.Error() != "unexpected error" {
t.Fatalf("wrong error message: %q, expected %q", err, "unexpected error")
}
}
func TestRecoverEvaluatorError(t *testing.T) {
2017-08-11 11:45:52 -07:00
ev := &evaluator{logger: log.NewNopLogger()}
var err error
e := errors.New("custom error")
defer func() {
if err.Error() != e.Error() {
t.Fatalf("wrong error message: %q, expected %q", err, e)
}
}()
defer ev.recover(&err)
panic(e)
}
func TestSubquerySelector(t *testing.T) {
tests := []struct {
loadString string
cases []struct {
Query string
Result Result
Start time.Time
}
}{
{
loadString: `load 10s
metric 1 2`,
cases: []struct {
Query string
Result Result
Start time.Time
}{
{
Query: "metric[20s:10s]",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(10, 0),
},
{
Query: "metric[20s:5s]",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 5000}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(10, 0),
},
{
Query: "metric[20s:5s] offset 2s",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 5000}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(12, 0),
},
{
Query: "metric[20s:5s] offset 6s",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1, T: 0}, {V: 1, T: 5000}, {V: 2, T: 10000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(20, 0),
},
{
Query: "metric[20s:5s] offset 4s",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 2, T: 15000}, {V: 2, T: 20000}, {V: 2, T: 25000}, {V: 2, T: 30000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(35, 0),
},
{
Query: "metric[20s:5s] offset 5s",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 2, T: 10000}, {V: 2, T: 15000}, {V: 2, T: 20000}, {V: 2, T: 25000}, {V: 2, T: 30000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(35, 0),
},
{
Query: "metric[20s:5s] offset 6s",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 2, T: 10000}, {V: 2, T: 15000}, {V: 2, T: 20000}, {V: 2, T: 25000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(35, 0),
},
{
Query: "metric[20s:5s] offset 7s",
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 2, T: 10000}, {V: 2, T: 15000}, {V: 2, T: 20000}, {V: 2, T: 25000}},
Metric: labels.FromStrings("__name__", "metric")},
},
nil,
},
Start: time.Unix(35, 0),
},
},
},
{
loadString: `load 10s
http_requests{job="api-server", instance="0", group="production"} 0+10x1000 100+30x1000
http_requests{job="api-server", instance="1", group="production"} 0+20x1000 200+30x1000
http_requests{job="api-server", instance="0", group="canary"} 0+30x1000 300+80x1000
http_requests{job="api-server", instance="1", group="canary"} 0+40x2000`,
cases: []struct {
Query string
Result Result
Start time.Time
}{
{ // Normal selector.
Query: `http_requests{group=~"pro.*",instance="0"}[30s:10s]`,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 9990, T: 9990000}, {V: 10000, T: 10000000}, {V: 100, T: 10010000}, {V: 130, T: 10020000}},
Metric: labels.FromStrings("__name__", "http_requests", "job", "api-server", "instance", "0", "group", "production")},
},
nil,
},
Start: time.Unix(10020, 0),
},
{ // Default step.
Query: `http_requests{group=~"pro.*",instance="0"}[5m:]`,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 9840, T: 9840000}, {V: 9900, T: 9900000}, {V: 9960, T: 9960000}, {V: 130, T: 10020000}, {V: 310, T: 10080000}},
Metric: labels.FromStrings("__name__", "http_requests", "job", "api-server", "instance", "0", "group", "production")},
},
nil,
},
Start: time.Unix(10100, 0),
},
{ // Checking if high offset (>LookbackDelta) is being taken care of.
Query: `http_requests{group=~"pro.*",instance="0"}[5m:] offset 20m`,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 8640, T: 8640000}, {V: 8700, T: 8700000}, {V: 8760, T: 8760000}, {V: 8820, T: 8820000}, {V: 8880, T: 8880000}},
Metric: labels.FromStrings("__name__", "http_requests", "job", "api-server", "instance", "0", "group", "production")},
},
nil,
},
Start: time.Unix(10100, 0),
},
{
Query: `rate(http_requests[1m])[15s:5s]`,
Result: Result{
nil,
Matrix{
Series{
Points: []Point{{V: 3, T: 7985000}, {V: 3, T: 7990000}, {V: 3, T: 7995000}, {V: 3, T: 8000000}},
Metric: labels.FromStrings("job", "api-server", "instance", "0", "group", "canary"),
},
Series{
Points: []Point{{V: 4, T: 7985000}, {V: 4, T: 7990000}, {V: 4, T: 7995000}, {V: 4, T: 8000000}},
Metric: labels.FromStrings("job", "api-server", "instance", "1", "group", "canary"),
},
Series{
Points: []Point{{V: 1, T: 7985000}, {V: 1, T: 7990000}, {V: 1, T: 7995000}, {V: 1, T: 8000000}},
Metric: labels.FromStrings("job", "api-server", "instance", "0", "group", "production"),
},
Series{
Points: []Point{{V: 2, T: 7985000}, {V: 2, T: 7990000}, {V: 2, T: 7995000}, {V: 2, T: 8000000}},
Metric: labels.FromStrings("job", "api-server", "instance", "1", "group", "production"),
},
},
nil,
},
Start: time.Unix(8000, 0),
},
{
Query: `sum(http_requests{group=~"pro.*"})[30s:10s]`,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 270, T: 90000}, {V: 300, T: 100000}, {V: 330, T: 110000}, {V: 360, T: 120000}},
Metric: labels.Labels{}},
},
nil,
},
Start: time.Unix(120, 0),
},
{
Query: `sum(http_requests)[40s:10s]`,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 800, T: 80000}, {V: 900, T: 90000}, {V: 1000, T: 100000}, {V: 1100, T: 110000}, {V: 1200, T: 120000}},
Metric: labels.Labels{}},
},
nil,
},
Start: time.Unix(120, 0),
},
{
Query: `(sum(http_requests{group=~"p.*"})+sum(http_requests{group=~"c.*"}))[20s:5s]`,
Result: Result{
nil,
Matrix{Series{
Points: []Point{{V: 1000, T: 100000}, {V: 1000, T: 105000}, {V: 1100, T: 110000}, {V: 1100, T: 115000}, {V: 1200, T: 120000}},
Metric: labels.Labels{}},
},
nil,
},
Start: time.Unix(120, 0),
},
},
},
}
SetDefaultEvaluationInterval(1 * time.Minute)
for _, tst := range tests {
test, err := NewTest(t, tst.loadString)
testutil.Ok(t, err)
defer test.Close()
err = test.Run()
testutil.Ok(t, err)
engine := test.QueryEngine()
for _, c := range tst.cases {
var err error
var qry Query
qry, err = engine.NewInstantQuery(test.Queryable(), c.Query, c.Start)
testutil.Ok(t, err)
res := qry.Exec(test.Context())
testutil.Equals(t, c.Result.Err, res.Err)
mat := res.Value.(Matrix)
Don't sort postings if we only have one block. Sorting the heads postings can be quite slow. We only need sorted series when merging with another querier, so only sort then. This will make big queries that only touch the head faster, though queries that touch both the head and a block will still be the same speed. This probably won't help much with graphing unless the range is under an hour, however it should make most recording rules faster. Add gaurantee that remote read streaming produces sorted series. PromQL benchmarks for histograms show only 2-3% improvement, but they're only over 1k series. benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-4 1375486282 507657736 -63.09% BenchmarkQuerierSelect/Head/10of1000000-4 1387859004 507769850 -63.41% BenchmarkQuerierSelect/Head/100of1000000-4 1387087935 506029110 -63.52% BenchmarkQuerierSelect/Head/1000of1000000-4 1386869064 504521986 -63.62% BenchmarkQuerierSelect/Head/10000of1000000-4 1386213685 505210422 -63.55% BenchmarkQuerierSelect/Head/100000of1000000-4 1392754988 529842406 -61.96% BenchmarkQuerierSelect/Head/1000000of1000000-4 1569414722 725059506 -53.80% BenchmarkQuerierSelect/SortedHead/1of1000000-4 1381019902 1370495863 -0.76% BenchmarkQuerierSelect/SortedHead/10of1000000-4 1375696209 1366789468 -0.65% BenchmarkQuerierSelect/SortedHead/100of1000000-4 1386009422 1364519297 -1.55% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 1377700532 1364486191 -0.96% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 1383539536 1369545314 -1.01% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 1410089163 1394731339 -1.09% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 1634744148 1581554956 -3.25% BenchmarkQuerierSelect/Block/1of1000000-4 881741242 879839470 -0.22% BenchmarkQuerierSelect/Block/10of1000000-4 880381562 882846038 +0.28% BenchmarkQuerierSelect/Block/100of1000000-4 887519357 881016916 -0.73% BenchmarkQuerierSelect/Block/1000of1000000-4 902194205 883433524 -2.08% BenchmarkQuerierSelect/Block/10000of1000000-4 892321964 885130170 -0.81% BenchmarkQuerierSelect/Block/100000of1000000-4 938604466 933527150 -0.54% BenchmarkQuerierSelect/Block/1000000of1000000-4 1313510845 1295881124 -1.34% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-4 4000056 4000018 -0.00% BenchmarkQuerierSelect/Head/10of1000000-4 4000074 4000036 -0.00% BenchmarkQuerierSelect/Head/100of1000000-4 4000254 4000216 -0.00% BenchmarkQuerierSelect/Head/1000of1000000-4 4002054 4002016 -0.00% BenchmarkQuerierSelect/Head/10000of1000000-4 4020054 4020016 -0.00% BenchmarkQuerierSelect/Head/100000of1000000-4 4200054 4200016 -0.00% BenchmarkQuerierSelect/Head/1000000of1000000-4 6000054 6000016 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-4 4000071 4000071 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 4000089 4000089 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 4000269 4000269 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 4002069 4002069 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 4020069 4020069 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 4200069 4200069 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 6000069 6000069 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 6000023 6000022 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 6000059 6000058 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 6000419 6000418 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 6004019 6004018 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 6040019 6040018 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 6400019 6400018 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 10000020 10000019 -0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-4 229192200 176001176 -23.21% BenchmarkQuerierSelect/Head/10of1000000-4 229193352 176002328 -23.21% BenchmarkQuerierSelect/Head/100of1000000-4 229204872 176013848 -23.21% BenchmarkQuerierSelect/Head/1000of1000000-4 229320072 176129048 -23.20% BenchmarkQuerierSelect/Head/10000of1000000-4 230472072 177281048 -23.08% BenchmarkQuerierSelect/Head/100000of1000000-4 241992072 188801048 -21.98% BenchmarkQuerierSelect/Head/1000000of1000000-4 357192072 304001048 -14.89% BenchmarkQuerierSelect/SortedHead/1of1000000-4 229193928 229193928 +0.00% BenchmarkQuerierSelect/SortedHead/10of1000000-4 229195080 229195080 +0.00% BenchmarkQuerierSelect/SortedHead/100of1000000-4 229206600 229206600 +0.00% BenchmarkQuerierSelect/SortedHead/1000of1000000-4 229321800 229321800 +0.00% BenchmarkQuerierSelect/SortedHead/10000of1000000-4 230473800 230473800 +0.00% BenchmarkQuerierSelect/SortedHead/100000of1000000-4 241993800 241993800 +0.00% BenchmarkQuerierSelect/SortedHead/1000000of1000000-4 357193800 357193800 +0.00% BenchmarkQuerierSelect/Block/1of1000000-4 227201516 227201500 -0.00% BenchmarkQuerierSelect/Block/10of1000000-4 227202924 227202908 -0.00% BenchmarkQuerierSelect/Block/100of1000000-4 227217036 227217020 -0.00% BenchmarkQuerierSelect/Block/1000of1000000-4 227358156 227358140 -0.00% BenchmarkQuerierSelect/Block/10000of1000000-4 228769356 228769340 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-4 242881356 242881340 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-4 384001616 384001600 -0.00% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-17 03:21:44 -08:00
sort.Sort(mat)
testutil.Equals(t, c.Result.Value, mat)
}
}
}
type FakeQueryLogger struct {
closed bool
logs []interface{}
}
func NewFakeQueryLogger() *FakeQueryLogger {
return &FakeQueryLogger{
closed: false,
logs: make([]interface{}, 0),
}
}
func (f *FakeQueryLogger) Close() error {
f.closed = true
return nil
}
func (f *FakeQueryLogger) Log(l ...interface{}) error {
f.logs = append(f.logs, l...)
return nil
}
func TestQueryLogger_basic(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 10 * time.Second,
}
engine := NewEngine(opts)
queryExec := func() {
ctx, cancelCtx := context.WithCancel(context.Background())
defer cancelCtx()
query := engine.newTestQuery(func(ctx context.Context) error {
return contextDone(ctx, "test statement execution")
})
res := query.Exec(ctx)
testutil.Ok(t, res.Err)
}
// Query works without query log initialized.
queryExec()
f1 := NewFakeQueryLogger()
engine.SetQueryLogger(f1)
queryExec()
for i, field := range []interface{}{"params", map[string]interface{}{"query": "test statement"}} {
testutil.Equals(t, field, f1.logs[i])
}
l := len(f1.logs)
queryExec()
testutil.Equals(t, 2*l, len(f1.logs))
// Test that we close the query logger when unsetting it.
testutil.Assert(t, !f1.closed, "expected f1 to be open, got closed")
engine.SetQueryLogger(nil)
testutil.Assert(t, f1.closed, "expected f1 to be closed, got open")
queryExec()
// Test that we close the query logger when swapping.
f2 := NewFakeQueryLogger()
f3 := NewFakeQueryLogger()
engine.SetQueryLogger(f2)
testutil.Assert(t, !f2.closed, "expected f2 to be open, got closed")
queryExec()
engine.SetQueryLogger(f3)
testutil.Assert(t, f2.closed, "expected f2 to be closed, got open")
testutil.Assert(t, !f3.closed, "expected f3 to be open, got closed")
queryExec()
}
func TestQueryLogger_fields(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 10 * time.Second,
}
engine := NewEngine(opts)
f1 := NewFakeQueryLogger()
engine.SetQueryLogger(f1)
ctx, cancelCtx := context.WithCancel(context.Background())
ctx = NewOriginContext(ctx, map[string]interface{}{"foo": "bar"})
defer cancelCtx()
query := engine.newTestQuery(func(ctx context.Context) error {
return contextDone(ctx, "test statement execution")
})
res := query.Exec(ctx)
testutil.Ok(t, res.Err)
expected := []string{"foo", "bar"}
for i, field := range expected {
v := f1.logs[len(f1.logs)-len(expected)+i].(string)
testutil.Equals(t, field, v)
}
}
func TestQueryLogger_error(t *testing.T) {
opts := EngineOpts{
Logger: nil,
Reg: nil,
MaxSamples: 10,
Timeout: 10 * time.Second,
}
engine := NewEngine(opts)
f1 := NewFakeQueryLogger()
engine.SetQueryLogger(f1)
ctx, cancelCtx := context.WithCancel(context.Background())
ctx = NewOriginContext(ctx, map[string]interface{}{"foo": "bar"})
defer cancelCtx()
testErr := errors.New("failure")
query := engine.newTestQuery(func(ctx context.Context) error {
return testErr
})
res := query.Exec(ctx)
testutil.NotOk(t, res.Err, "query should have failed")
for i, field := range []interface{}{"params", map[string]interface{}{"query": "test statement"}, "error", testErr} {
testutil.Equals(t, f1.logs[i], field)
}
}