VictoriaMetrics/lib/storage/index_db_timing_test.go

376 lines
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package storage
import (
"fmt"
"os"
"regexp"
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"strconv"
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"sync/atomic"
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"testing"
"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache"
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)
func BenchmarkRegexpFilterMatch(b *testing.B) {
b.ReportAllocs()
b.RunParallel(func(pb *testing.PB) {
re := regexp.MustCompile(`.*foo-bar-baz.*`)
b := []byte("fdsffd foo-bar-baz assd fdsfad dasf dsa")
for pb.Next() {
if !re.Match(b) {
panic("BUG: regexp must match!")
}
b[0]++
}
})
}
func BenchmarkRegexpFilterMismatch(b *testing.B) {
b.ReportAllocs()
b.RunParallel(func(pb *testing.PB) {
re := regexp.MustCompile(`.*foo-bar-baz.*`)
b := []byte("fdsffd foo-bar sfddsf assd nmn,mfdsdsakj")
for pb.Next() {
if re.Match(b) {
panic("BUG: regexp mustn't match!")
}
b[0]++
}
})
}
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func BenchmarkIndexDBAddTSIDs(b *testing.B) {
const recordsPerLoop = 1e3
metricIDCache := workingsetcache.New(1234, time.Hour)
metricNameCache := workingsetcache.New(1234, time.Hour)
defer metricIDCache.Stop()
defer metricNameCache.Stop()
var hmCurr atomic.Value
hmCurr.Store(&hourMetricIDs{})
var hmPrev atomic.Value
hmPrev.Store(&hourMetricIDs{})
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const dbName = "bench-index-db-add-tsids"
db, err := openIndexDB(dbName, metricIDCache, metricNameCache, &hmCurr, &hmPrev)
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if err != nil {
b.Fatalf("cannot open indexDB: %s", err)
}
defer func() {
db.MustClose()
if err := os.RemoveAll(dbName); err != nil {
b.Fatalf("cannot remove indexDB: %s", err)
}
}()
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var goroutineID uint32
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b.ReportAllocs()
b.SetBytes(recordsPerLoop)
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
var mn MetricName
var tsid TSID
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mn.AccountID = atomic.AddUint32(&goroutineID, 1)
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// The most common tags.
mn.Tags = []Tag{
{
Key: []byte("job"),
},
{
Key: []byte("instance"),
},
}
startOffset := 0
for pb.Next() {
benchmarkIndexDBAddTSIDs(db, &tsid, &mn, startOffset, recordsPerLoop)
startOffset += recordsPerLoop
}
})
b.StopTimer()
}
func benchmarkIndexDBAddTSIDs(db *indexDB, tsid *TSID, mn *MetricName, startOffset, recordsPerLoop int) {
var metricName []byte
is := db.getIndexSearch()
defer db.putIndexSearch(is)
for i := 0; i < recordsPerLoop; i++ {
mn.MetricGroup = strconv.AppendUint(mn.MetricGroup[:0], uint64(i+startOffset), 10)
for j := range mn.Tags {
mn.Tags[j].Value = strconv.AppendUint(mn.Tags[j].Value[:0], uint64(i*j), 16)
}
mn.sortTags()
metricName = mn.Marshal(metricName[:0])
if err := is.GetOrCreateTSIDByName(tsid, metricName); err != nil {
panic(fmt.Errorf("cannot insert record: %w", err))
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}
}
}
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
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func BenchmarkHeadPostingForMatchers(b *testing.B) {
// This benchmark is equivalent to https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52
// See https://www.robustperception.io/evaluating-performance-and-correctness for more details.
metricIDCache := workingsetcache.New(1234, time.Hour)
metricNameCache := workingsetcache.New(1234, time.Hour)
defer metricIDCache.Stop()
defer metricNameCache.Stop()
var hmCurr atomic.Value
hmCurr.Store(&hourMetricIDs{})
var hmPrev atomic.Value
hmPrev.Store(&hourMetricIDs{})
const dbName = "bench-head-posting-for-matchers"
db, err := openIndexDB(dbName, metricIDCache, metricNameCache, &hmCurr, &hmPrev)
if err != nil {
b.Fatalf("cannot open indexDB: %s", err)
}
defer func() {
db.MustClose()
if err := os.RemoveAll(dbName); err != nil {
b.Fatalf("cannot remove indexDB: %s", err)
}
}()
// Fill the db with data as in https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L66
const accountID = 34327843
const projectID = 893433
var mn MetricName
var metricName []byte
var tsid TSID
addSeries := func(kvs ...string) {
mn.Reset()
for i := 0; i < len(kvs); i += 2 {
mn.AddTag(kvs[i], kvs[i+1])
}
mn.sortTags()
mn.AccountID = accountID
mn.ProjectID = projectID
metricName = mn.Marshal(metricName[:0])
if err := db.createTSIDByName(&tsid, metricName); err != nil {
b.Fatalf("cannot insert record: %s", err)
}
}
for n := 0; n < 10; n++ {
ns := strconv.Itoa(n)
lib/storage: increase the number of created time series in BenchmarkHeadPostingForMatchers in order to be on par with Promethues The previous commit was accidentally creating 10x smaller number of time series than Prometheus and this led to invalid benchmark results. The updated benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 6194893 -97.73% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 10781372 -92.19% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 10632834 -92.11% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 10679975 -94.55% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 100118510 -98.74% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 154955671 -97.96% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 258003769 -77.42% BenchmarkHeadPostingForMatchers/i!="" 9964150263 159783895 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 10937895 -94.96% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 10990027 -94.57% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 87004349 -82.11% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 53342793 -84.79% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 54256156 -85.76% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 21823279 -75.62% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 46671359 -87.70% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 53915842 -87.30% VictoriaMetrics uses 1GB of RAM during the benchmark (vs 3.5GB of RAM for Prometheus)
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for i := 0; i < 100000; i++ {
is := strconv.Itoa(i)
addSeries("i", is, "n", ns, "j", "foo")
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
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// Have some series that won't be matched, to properly test inverted matches.
addSeries("i", is, "n", ns, "j", "bar")
addSeries("i", is, "n", "0_"+ns, "j", "bar")
addSeries("i", is, "n", "1_"+ns, "j", "bar")
addSeries("i", is, "n", "2_"+ns, "j", "foo")
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
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}
}
// Make sure all the items can be searched.
db.tb.DebugFlush()
b.ResetTimer()
benchSearch := func(b *testing.B, tfs *TagFilters, expectedMetricIDs int) {
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
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is := db.getIndexSearch()
defer db.putIndexSearch(is)
tfss := []*TagFilters{tfs}
tr := TimeRange{
MinTimestamp: 0,
MaxTimestamp: timestampFromTime(time.Now()),
}
for i := 0; i < b.N; i++ {
metricIDs, err := is.searchMetricIDs(tfss, tr, 2e9)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
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if err != nil {
b.Fatalf("unexpected error in searchMetricIDs: %s", err)
}
if len(metricIDs) != expectedMetricIDs {
b.Fatalf("unexpected metricIDs found; got %d; want %d", len(metricIDs), expectedMetricIDs)
}
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
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}
}
addTagFilter := func(tfs *TagFilters, key, value string, isNegative, isRegexp bool) {
if err := tfs.Add([]byte(key), []byte(value), isNegative, isRegexp); err != nil {
b.Fatalf("cannot add tag filter %q=%q, isNegative=%v, isRegexp=%v", key, value, isNegative, isRegexp)
}
}
b.Run(`n="1"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
benchSearch(b, tfs, 2e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 1e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`j="foo",n="1"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "j", "foo", false, false)
addTagFilter(tfs, "n", "1", false, false)
benchSearch(b, tfs, 1e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",j!="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "j", "foo", true, false)
benchSearch(b, tfs, 1e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`i=~".*"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "i", ".*", false, true)
benchSearch(b, tfs, 5e6)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`i=~".+"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "i", ".+", false, true)
benchSearch(b, tfs, 5e6)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`i=~""`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "i", "", false, true)
benchSearch(b, tfs, 0)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`i!=""`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "i", "", true, false)
benchSearch(b, tfs, 5e6)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i=~".*",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", ".*", false, true)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 1e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i=~".*",i!="2",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", ".*", false, true)
addTagFilter(tfs, "i", "2", true, false)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 1e5-1)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i!=""`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", "", true, false)
benchSearch(b, tfs, 2e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i!="",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", "", true, false)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 1e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i=~".+",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", ".+", false, true)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 1e5)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i=~"1.+",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", "1.+", false, true)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 11110)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i=~".+",i!="2",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", ".+", false, true)
addTagFilter(tfs, "i", "2", true, false)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 1e5-1)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
b.Run(`n="1",i=~".+",i!~"2.*",j="foo"`, func(b *testing.B) {
tfs := NewTagFilters(accountID, projectID)
addTagFilter(tfs, "n", "1", false, false)
addTagFilter(tfs, "i", ".+", false, true)
addTagFilter(tfs, "i", "2.*", true, true)
addTagFilter(tfs, "j", "foo", false, false)
benchSearch(b, tfs, 88889)
lib/storage: add BenchmarkHeadPostingForMatchers similar to the benchmark from Prometheus See the corresponding benchmark in Prometheus - https://github.com/prometheus/prometheus/blob/23c0299d85bfeb5d9b59e994861553a25ca578e5/tsdb/head_bench_test.go#L52 The benchmark allows performing apples-to-apples comparison of time series search in Prometheus and VictoriaMetrics. The following article - https://www.robustperception.io/evaluating-performance-and-correctness - contains incorrect numbers for VictoriaMetrics, since there wasn't this benchmark yet. Fix it. Benchmarks can be repeated with the following commands from Prometheus and VictoriaMetrics source code roots: - Prometheus: GOMAXPROCS=1 go test ./tsdb/ -run=111 -bench=BenchmarkHeadPostingForMatchers - VictoriaMetrics: GOMAXPROCS=1 go test ./lib/storage/ -run=111 -bench=BenchmarkHeadPostingForMatchers Benchmark results: benchmark old ns/op new ns/op delta BenchmarkHeadPostingForMatchers/n="1" 272756688 364977 -99.87% BenchmarkHeadPostingForMatchers/n="1",j="foo" 138132923 1181636 -99.14% BenchmarkHeadPostingForMatchers/j="foo",n="1" 134723762 1141578 -99.15% BenchmarkHeadPostingForMatchers/n="1",j!="foo" 195823953 1148056 -99.41% BenchmarkHeadPostingForMatchers/i=~".*" 7962582919 8716755 -99.89% BenchmarkHeadPostingForMatchers/i=~".+" 7589543864 12096587 -99.84% BenchmarkHeadPostingForMatchers/i=~"" 1142371741 16164560 -98.59% BenchmarkHeadPostingForMatchers/i!="" 9964150263 12230021 -99.88% BenchmarkHeadPostingForMatchers/n="1",i=~".*",j="foo" 216995884 1173476 -99.46% BenchmarkHeadPostingForMatchers/n="1",i=~".*",i!="2",j="foo" 202541348 1299743 -99.36% BenchmarkHeadPostingForMatchers/n="1",i!="" 486285711 11555193 -97.62% BenchmarkHeadPostingForMatchers/n="1",i!="",j="foo" 350776931 5607506 -98.40% BenchmarkHeadPostingForMatchers/n="1",i=~".+",j="foo" 380888565 6380335 -98.32% BenchmarkHeadPostingForMatchers/n="1",i=~"1.+",j="foo" 89500296 2078970 -97.68% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!="2",j="foo" 379529654 6561368 -98.27% BenchmarkHeadPostingForMatchers/n="1",i=~".+",i!~"2.*",j="foo" 424563825 6757132 -98.41% The first column (old) is for Prometheus, the second column (new) is for VictoriaMetrics. Prometheus was using 3.5GB of RAM during the benchmark, while VictoriaMetrics was using 400MB of RAM.
2019-11-18 17:21:27 +01:00
})
}
2019-05-22 23:16:55 +02:00
func BenchmarkIndexDBGetTSIDs(b *testing.B) {
metricIDCache := workingsetcache.New(1234, time.Hour)
metricNameCache := workingsetcache.New(1234, time.Hour)
defer metricIDCache.Stop()
defer metricNameCache.Stop()
var hmCurr atomic.Value
hmCurr.Store(&hourMetricIDs{})
var hmPrev atomic.Value
hmPrev.Store(&hourMetricIDs{})
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const dbName = "bench-index-db-get-tsids"
db, err := openIndexDB(dbName, metricIDCache, metricNameCache, &hmCurr, &hmPrev)
2019-05-22 23:16:55 +02:00
if err != nil {
b.Fatalf("cannot open indexDB: %s", err)
}
defer func() {
db.MustClose()
if err := os.RemoveAll(dbName); err != nil {
b.Fatalf("cannot remove indexDB: %s", err)
}
}()
const recordsPerLoop = 1000
const accountsCount = 111
const projectsCount = 33333
const recordsCount = 1e5
// Fill the db with recordsCount records.
var mn MetricName
mn.MetricGroup = []byte("rps")
for i := 0; i < 2; i++ {
key := fmt.Sprintf("key_%d", i)
value := fmt.Sprintf("value_%d", i)
mn.AddTag(key, value)
}
var tsid TSID
var metricName []byte
is := db.getIndexSearch()
defer db.putIndexSearch(is)
for i := 0; i < recordsCount; i++ {
2019-05-22 23:23:23 +02:00
mn.AccountID = uint32(i % accountsCount)
mn.ProjectID = uint32(i % projectsCount)
2019-05-22 23:16:55 +02:00
mn.sortTags()
metricName = mn.Marshal(metricName[:0])
if err := is.GetOrCreateTSIDByName(&tsid, metricName); err != nil {
b.Fatalf("cannot insert record: %s", err)
}
}
b.SetBytes(recordsPerLoop)
b.ReportAllocs()
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
var tsidLocal TSID
var metricNameLocal []byte
mnLocal := mn
is := db.getIndexSearch()
defer db.putIndexSearch(is)
for pb.Next() {
for i := 0; i < recordsPerLoop; i++ {
2019-05-22 23:23:23 +02:00
mnLocal.AccountID = uint32(i % accountsCount)
mnLocal.ProjectID = uint32(i % projectsCount)
2019-05-22 23:16:55 +02:00
mnLocal.sortTags()
metricNameLocal = mnLocal.Marshal(metricNameLocal[:0])
if err := is.GetOrCreateTSIDByName(&tsidLocal, metricNameLocal); err != nil {
panic(fmt.Errorf("cannot obtain tsid: %w", err))
2019-05-22 23:16:55 +02:00
}
}
}
})
b.StopTimer()
}