Add benchmarks to compare text and protobuf parsing.

This commit is contained in:
Bjoern Rabenstein 2015-01-27 16:27:04 +01:00
parent 283d371002
commit 849d859db4
5 changed files with 487 additions and 0 deletions

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// Copyright 2015 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package text
import (
"bytes"
"compress/gzip"
"io"
"io/ioutil"
"testing"
dto "github.com/prometheus/client_model/go"
"github.com/matttproud/golang_protobuf_extensions/ext"
)
// Benchmarks to show how much penalty text format parsing accually inflicts.
//
// Example results on Linux 3.13.0, Intel(R) Core(TM) i7-4700MQ CPU @ 2.40GHz, go1.4.
//
// BenchmarkParseText 1000 1188535 ns/op 205085 B/op 6135 allocs/op
// BenchmarkParseTextGzip 1000 1376567 ns/op 246224 B/op 6151 allocs/op
// BenchmarkParseProto 10000 172790 ns/op 52258 B/op 1160 allocs/op
// BenchmarkParseProtoGzip 5000 324021 ns/op 94931 B/op 1211 allocs/op
// BenchmarkParseProtoMap 10000 187946 ns/op 58714 B/op 1203 allocs/op
//
// CONCLUSION: The overhead for the map is negligible. Text format needs ~5x more allocations.
// Without compression, it needs ~7x longer, but with compression (the more relevant scenario),
// the difference becomes less relevant, only ~4x.
//
// The test data contains 248 samples.
// BenchmarkParseText benchmarks the parsing of a text-format scrape into metric
// family DTOs.
func BenchmarkParseText(b *testing.B) {
b.StopTimer()
data, err := ioutil.ReadFile("testdata/text")
if err != nil {
b.Fatal(err)
}
b.StartTimer()
for i := 0; i < b.N; i++ {
if _, err := parser.TextToMetricFamilies(bytes.NewReader(data)); err != nil {
b.Fatal(err)
}
}
}
// BenchmarkParseTextGzip benchmarks the parsing of a gzipped text-format scrape
// into metric family DTOs.
func BenchmarkParseTextGzip(b *testing.B) {
b.StopTimer()
data, err := ioutil.ReadFile("testdata/text.gz")
if err != nil {
b.Fatal(err)
}
b.StartTimer()
for i := 0; i < b.N; i++ {
in, err := gzip.NewReader(bytes.NewReader(data))
if err != nil {
b.Fatal(err)
}
if _, err := parser.TextToMetricFamilies(in); err != nil {
b.Fatal(err)
}
}
}
// BenchmarkParseProto benchmarks the parsinge of a protobuf-format scrape into
// metric family DTOs. Note that this does not build a map of matric families
// (as the text version does), because it is not required for Prometheus
// ingestion either. (However, it is required for the text-format parsing, as
// the metric family might be sprinkled all over the text, while the
// protobuf-format guarantees bundling at one place.)
func BenchmarkParseProto(b *testing.B) {
b.StopTimer()
data, err := ioutil.ReadFile("testdata/protobuf")
if err != nil {
b.Fatal(err)
}
b.StartTimer()
for i := 0; i < b.N; i++ {
family := &dto.MetricFamily{}
in := bytes.NewReader(data)
for {
family.Reset()
if _, err := ext.ReadDelimited(in, family); err != nil {
if err == io.EOF {
break
}
b.Fatal(err)
}
}
}
}
// BenchmarkParseProtoGzip is like BenchmarkParseProto above, but parses gzipped
// protobuf format.
func BenchmarkParseProtoGzip(b *testing.B) {
b.StopTimer()
data, err := ioutil.ReadFile("testdata/protobuf.gz")
if err != nil {
b.Fatal(err)
}
b.StartTimer()
for i := 0; i < b.N; i++ {
family := &dto.MetricFamily{}
in, err := gzip.NewReader(bytes.NewReader(data))
if err != nil {
b.Fatal(err)
}
for {
family.Reset()
if _, err := ext.ReadDelimited(in, family); err != nil {
if err == io.EOF {
break
}
b.Fatal(err)
}
}
}
}
// BenchmarkParseProtoMap is like BenchmarkParseProto but DOES put the parsed
// metric family DTOs into a map. This is not happening during Prometheus
// ingestion. It is just here to measure the overhead of that map creation and
// separate it from the overhead of the text format parsing.
func BenchmarkParseProtoMap(b *testing.B) {
b.StopTimer()
data, err := ioutil.ReadFile("testdata/protobuf")
if err != nil {
b.Fatal(err)
}
b.StartTimer()
for i := 0; i < b.N; i++ {
families := map[string]*dto.MetricFamily{}
in := bytes.NewReader(data)
for {
family := &dto.MetricFamily{}
if _, err := ext.ReadDelimited(in, family); err != nil {
if err == io.EOF {
break
}
b.Fatal(err)
}
families[family.GetName()] = family
}
}
}

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# HELP prometheus_samples_queue_capacity Capacity of the queue for unwritten samples.
# TYPE prometheus_samples_queue_capacity gauge
prometheus_samples_queue_capacity 4096
# HELP prometheus_samples_queue_length Current number of items in the queue for unwritten samples. Each item comprises all samples exposed by one target as one metric family (i.e. metrics of the same name).
# TYPE prometheus_samples_queue_length gauge
prometheus_samples_queue_length 0
# HELP prometheus_target_interval_length_seconds Actual intervals between scrapes.
# TYPE prometheus_target_interval_length_seconds summary
prometheus_target_interval_length_seconds{interval="15s",quantile="0.01"} 14
prometheus_target_interval_length_seconds{interval="15s",quantile="0.05"} 14
prometheus_target_interval_length_seconds{interval="15s",quantile="0.5"} 15
prometheus_target_interval_length_seconds{interval="15s",quantile="0.9"} 15
prometheus_target_interval_length_seconds{interval="15s",quantile="0.99"} 15
prometheus_target_interval_length_seconds_sum{interval="15s"} 175
prometheus_target_interval_length_seconds_count{interval="15s"} 12
prometheus_target_interval_length_seconds{interval="1s",quantile="0.01"} 0
prometheus_target_interval_length_seconds{interval="1s",quantile="0.05"} 0
prometheus_target_interval_length_seconds{interval="1s",quantile="0.5"} 0
prometheus_target_interval_length_seconds{interval="1s",quantile="0.9"} 1
prometheus_target_interval_length_seconds{interval="1s",quantile="0.99"} 1
prometheus_target_interval_length_seconds_sum{interval="1s"} 55
prometheus_target_interval_length_seconds_count{interval="1s"} 117

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