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opentelemetry-go/sdk/metric/benchmark_test.go

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// Copyright 2019, OpenTelemetry 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 metric_test
import (
"context"
"fmt"
"math/rand"
"strings"
"testing"
"go.opentelemetry.io/otel/api/core"
"go.opentelemetry.io/otel/api/key"
"go.opentelemetry.io/otel/api/metric"
export "go.opentelemetry.io/otel/sdk/export/metric"
sdk "go.opentelemetry.io/otel/sdk/metric"
"go.opentelemetry.io/otel/sdk/metric/aggregator/counter"
"go.opentelemetry.io/otel/sdk/metric/aggregator/ddsketch"
"go.opentelemetry.io/otel/sdk/metric/aggregator/gauge"
"go.opentelemetry.io/otel/sdk/metric/aggregator/minmaxsumcount"
)
type benchFixture struct {
sdk *sdk.SDK
B *testing.B
}
func newFixture(b *testing.B) *benchFixture {
b.ReportAllocs()
bf := &benchFixture{
B: b,
}
Dogstatsd metrics exporter (#326) * Add MetricAggregator.Merge() implementations * Update from feedback * Type * Ckpt * Ckpt * Add push controller * Ckpt * Add aggregator interfaces, stdout encoder * Modify basic main.go * Main is working * Batch stdout output * Sum udpate * Rename stdout * Add stateless/stateful Batcher options * Undo a for-loop in the example, remove a done TODO * Update imports * Add note * Rename defaultkeys * Support variable label encoder to speed OpenMetrics/Statsd export * Lint * Checkpoint * Checkpoint * Doc * Precommit/lint * Simplify Aggregator API * Record->Identifier * Remove export.Record a.k.a. Identifier * Checkpoint * Propagate errors to the SDK, remove a bunch of 'TODO warn' * Checkpoint * Introduce export.Labels * Comments in export/metric.go * Comment * More merge * More doc * Complete example * Lint fixes * Add a testable example * Lint * Dogstats * Let Export return an error * Checkpoint * add a basic stdout exporter test * Add measure test; fix aggregator APIs * Use JSON numbers, not strings * Test stdout exporter error * Add a test for the call to RangeTest * Add error handler API to improve correctness test; return errors from RecordOne * Undo the previous -- do not expose errors * Add simple selector variations, test * Repair examples * Test push controller error handling * Add SDK label encoder tests * Add a defaultkeys batcher test * Add an ungrouped batcher test * Lint new tests * Respond to krnowak's feedback * Checkpoint * Funciontal example using unixgram * Tidy the example * Add a packet-split test * More tests * Undo comment * Use concrete receivers for export records and labels, since the constructors return structs not pointers * Bug fix for stateful batchers; clone an aggregator for long term storage * Remove TODO addressed in #318 * Add errors to all aggregator interfaces * Handle ErrNoLastValue case in stdout exporter * Move aggregator API into sdk/export/metric/aggregator * Update all aggregator exported-method comments * Document the aggregator APIs * More aggregator comments * Add multiple updates to the ungrouped test * Fixes for feedback from Gustavo and Liz * Producer->CheckpointSet; add FinishedCollection * Process takes an export.Record * ReadCheckpoint->CheckpointSet * EncodeLabels->Encode * Format a better inconsistent type error; add more aggregator API tests * More RangeTest test coverage * Make benbjohnson/clock a test-only dependency * Handle ErrNoLastValue in stress_test * Update comments; use a pipe vs a unix socket in the example test * Update test * Spelling * Typo fix * Rename DefaultLabelEncoder to NewDefaultLabelEncoder for clarity * Rename DefaultLabelEncoder to NewDefaultLabelEncoder for clarity * Test different adapters; add ForceEncode to statsd label encoder
2019-11-22 06:46:05 +02:00
bf.sdk = sdk.New(bf, sdk.NewDefaultLabelEncoder())
return bf
}
Metrics stdout export pipeline (#265) * Add MetricAggregator.Merge() implementations * Update from feedback * Type * Ckpt * Ckpt * Add push controller * Ckpt * Add aggregator interfaces, stdout encoder * Modify basic main.go * Main is working * Batch stdout output * Sum udpate * Rename stdout * Add stateless/stateful Batcher options * Undo a for-loop in the example, remove a done TODO * Update imports * Add note * Rename defaultkeys * Support variable label encoder to speed OpenMetrics/Statsd export * Lint * Doc * Precommit/lint * Simplify Aggregator API * Record->Identifier * Remove export.Record a.k.a. Identifier * Checkpoint * Propagate errors to the SDK, remove a bunch of 'TODO warn' * Checkpoint * Introduce export.Labels * Comments in export/metric.go * Comment * More merge * More doc * Complete example * Lint fixes * Add a testable example * Lint * Let Export return an error * add a basic stdout exporter test * Add measure test; fix aggregator APIs * Use JSON numbers, not strings * Test stdout exporter error * Add a test for the call to RangeTest * Add error handler API to improve correctness test; return errors from RecordOne * Undo the previous -- do not expose errors * Add simple selector variations, test * Repair examples * Test push controller error handling * Add SDK label encoder tests * Add a defaultkeys batcher test * Add an ungrouped batcher test * Lint new tests * Respond to krnowak's feedback * Undo comment * Use concrete receivers for export records and labels, since the constructors return structs not pointers * Bug fix for stateful batchers; clone an aggregator for long term storage * Remove TODO addressed in #318 * Add errors to all aggregator interfaces * Handle ErrNoLastValue case in stdout exporter * Move aggregator API into sdk/export/metric/aggregator * Update all aggregator exported-method comments * Document the aggregator APIs * More aggregator comments * Add multiple updates to the ungrouped test * Fixes for feedback from Gustavo and Liz * Producer->CheckpointSet; add FinishedCollection * Process takes an export.Record * ReadCheckpoint->CheckpointSet * EncodeLabels->Encode * Format a better inconsistent type error; add more aggregator API tests * More RangeTest test coverage * Make benbjohnson/clock a test-only dependency * Handle ErrNoLastValue in stress_test
2019-11-15 23:01:20 +02:00
func (*benchFixture) AggregatorFor(descriptor *export.Descriptor) export.Aggregator {
switch descriptor.MetricKind() {
case export.CounterKind:
return counter.New()
case export.GaugeKind:
return gauge.New()
case export.MeasureKind:
if strings.HasSuffix(descriptor.Name(), "minmaxsumcount") {
return minmaxsumcount.New(descriptor)
Metrics stdout export pipeline (#265) * Add MetricAggregator.Merge() implementations * Update from feedback * Type * Ckpt * Ckpt * Add push controller * Ckpt * Add aggregator interfaces, stdout encoder * Modify basic main.go * Main is working * Batch stdout output * Sum udpate * Rename stdout * Add stateless/stateful Batcher options * Undo a for-loop in the example, remove a done TODO * Update imports * Add note * Rename defaultkeys * Support variable label encoder to speed OpenMetrics/Statsd export * Lint * Doc * Precommit/lint * Simplify Aggregator API * Record->Identifier * Remove export.Record a.k.a. Identifier * Checkpoint * Propagate errors to the SDK, remove a bunch of 'TODO warn' * Checkpoint * Introduce export.Labels * Comments in export/metric.go * Comment * More merge * More doc * Complete example * Lint fixes * Add a testable example * Lint * Let Export return an error * add a basic stdout exporter test * Add measure test; fix aggregator APIs * Use JSON numbers, not strings * Test stdout exporter error * Add a test for the call to RangeTest * Add error handler API to improve correctness test; return errors from RecordOne * Undo the previous -- do not expose errors * Add simple selector variations, test * Repair examples * Test push controller error handling * Add SDK label encoder tests * Add a defaultkeys batcher test * Add an ungrouped batcher test * Lint new tests * Respond to krnowak's feedback * Undo comment * Use concrete receivers for export records and labels, since the constructors return structs not pointers * Bug fix for stateful batchers; clone an aggregator for long term storage * Remove TODO addressed in #318 * Add errors to all aggregator interfaces * Handle ErrNoLastValue case in stdout exporter * Move aggregator API into sdk/export/metric/aggregator * Update all aggregator exported-method comments * Document the aggregator APIs * More aggregator comments * Add multiple updates to the ungrouped test * Fixes for feedback from Gustavo and Liz * Producer->CheckpointSet; add FinishedCollection * Process takes an export.Record * ReadCheckpoint->CheckpointSet * EncodeLabels->Encode * Format a better inconsistent type error; add more aggregator API tests * More RangeTest test coverage * Make benbjohnson/clock a test-only dependency * Handle ErrNoLastValue in stress_test
2019-11-15 23:01:20 +02:00
} else if strings.HasSuffix(descriptor.Name(), "ddsketch") {
return ddsketch.New(ddsketch.NewDefaultConfig(), descriptor)
} else if strings.HasSuffix(descriptor.Name(), "array") {
return ddsketch.New(ddsketch.NewDefaultConfig(), descriptor)
}
}
return nil
}
Metrics stdout export pipeline (#265) * Add MetricAggregator.Merge() implementations * Update from feedback * Type * Ckpt * Ckpt * Add push controller * Ckpt * Add aggregator interfaces, stdout encoder * Modify basic main.go * Main is working * Batch stdout output * Sum udpate * Rename stdout * Add stateless/stateful Batcher options * Undo a for-loop in the example, remove a done TODO * Update imports * Add note * Rename defaultkeys * Support variable label encoder to speed OpenMetrics/Statsd export * Lint * Doc * Precommit/lint * Simplify Aggregator API * Record->Identifier * Remove export.Record a.k.a. Identifier * Checkpoint * Propagate errors to the SDK, remove a bunch of 'TODO warn' * Checkpoint * Introduce export.Labels * Comments in export/metric.go * Comment * More merge * More doc * Complete example * Lint fixes * Add a testable example * Lint * Let Export return an error * add a basic stdout exporter test * Add measure test; fix aggregator APIs * Use JSON numbers, not strings * Test stdout exporter error * Add a test for the call to RangeTest * Add error handler API to improve correctness test; return errors from RecordOne * Undo the previous -- do not expose errors * Add simple selector variations, test * Repair examples * Test push controller error handling * Add SDK label encoder tests * Add a defaultkeys batcher test * Add an ungrouped batcher test * Lint new tests * Respond to krnowak's feedback * Undo comment * Use concrete receivers for export records and labels, since the constructors return structs not pointers * Bug fix for stateful batchers; clone an aggregator for long term storage * Remove TODO addressed in #318 * Add errors to all aggregator interfaces * Handle ErrNoLastValue case in stdout exporter * Move aggregator API into sdk/export/metric/aggregator * Update all aggregator exported-method comments * Document the aggregator APIs * More aggregator comments * Add multiple updates to the ungrouped test * Fixes for feedback from Gustavo and Liz * Producer->CheckpointSet; add FinishedCollection * Process takes an export.Record * ReadCheckpoint->CheckpointSet * EncodeLabels->Encode * Format a better inconsistent type error; add more aggregator API tests * More RangeTest test coverage * Make benbjohnson/clock a test-only dependency * Handle ErrNoLastValue in stress_test
2019-11-15 23:01:20 +02:00
func (*benchFixture) Process(context.Context, export.Record) error {
return nil
}
func (*benchFixture) CheckpointSet() export.CheckpointSet {
return nil
}
func (*benchFixture) FinishedCollection() {
}
func makeLabelSets(n int) [][]core.KeyValue {
r := make([][]core.KeyValue, n)
for i := 0; i < n; i++ {
r[i] = makeLabels(1)
}
return r
}
func makeLabels(n int) []core.KeyValue {
used := map[string]bool{}
l := make([]core.KeyValue, n)
for i := 0; i < n; i++ {
var k string
for {
k = fmt.Sprint("k", rand.Intn(1000000000))
if !used[k] {
used[k] = true
break
}
}
l[i] = key.New(k).String(fmt.Sprint("v", rand.Intn(1000000000)))
}
return l
}
func benchmarkLabels(b *testing.B, n int) {
fix := newFixture(b)
labs := makeLabels(n)
b.ResetTimer()
for i := 0; i < b.N; i++ {
fix.sdk.Labels(labs...)
}
}
func BenchmarkLabels_1(b *testing.B) {
benchmarkLabels(b, 1)
}
func BenchmarkLabels_2(b *testing.B) {
benchmarkLabels(b, 2)
}
func BenchmarkLabels_4(b *testing.B) {
benchmarkLabels(b, 4)
}
func BenchmarkLabels_8(b *testing.B) {
benchmarkLabels(b, 8)
}
func BenchmarkLabels_16(b *testing.B) {
benchmarkLabels(b, 16)
}
// Note: performance does not depend on label set size for the
// benchmarks below.
func BenchmarkAcquireNewHandle(b *testing.B) {
fix := newFixture(b)
labelSets := makeLabelSets(b.N)
cnt := fix.sdk.NewInt64Counter("int64.counter")
labels := make([]metric.LabelSet, b.N)
for i := 0; i < b.N; i++ {
labels[i] = fix.sdk.Labels(labelSets[i]...)
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
cnt.Bind(labels[i])
}
}
func BenchmarkAcquireExistingHandle(b *testing.B) {
fix := newFixture(b)
labelSets := makeLabelSets(b.N)
cnt := fix.sdk.NewInt64Counter("int64.counter")
labels := make([]metric.LabelSet, b.N)
for i := 0; i < b.N; i++ {
labels[i] = fix.sdk.Labels(labelSets[i]...)
cnt.Bind(labels[i]).Unbind()
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
cnt.Bind(labels[i])
}
}
func BenchmarkAcquireReleaseExistingHandle(b *testing.B) {
fix := newFixture(b)
labelSets := makeLabelSets(b.N)
cnt := fix.sdk.NewInt64Counter("int64.counter")
labels := make([]metric.LabelSet, b.N)
for i := 0; i < b.N; i++ {
labels[i] = fix.sdk.Labels(labelSets[i]...)
cnt.Bind(labels[i]).Unbind()
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
cnt.Bind(labels[i]).Unbind()
}
}
// Counters
func BenchmarkInt64CounterAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
cnt := fix.sdk.NewInt64Counter("int64.counter")
b.ResetTimer()
for i := 0; i < b.N; i++ {
cnt.Add(ctx, 1, labs)
}
}
func BenchmarkInt64CounterHandleAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
cnt := fix.sdk.NewInt64Counter("int64.counter")
handle := cnt.Bind(labs)
b.ResetTimer()
for i := 0; i < b.N; i++ {
handle.Add(ctx, 1)
}
}
func BenchmarkFloat64CounterAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
cnt := fix.sdk.NewFloat64Counter("float64.counter")
b.ResetTimer()
for i := 0; i < b.N; i++ {
cnt.Add(ctx, 1.1, labs)
}
}
func BenchmarkFloat64CounterHandleAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
cnt := fix.sdk.NewFloat64Counter("float64.counter")
handle := cnt.Bind(labs)
b.ResetTimer()
for i := 0; i < b.N; i++ {
handle.Add(ctx, 1.1)
}
}
// Gauges
func BenchmarkInt64GaugeAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
gau := fix.sdk.NewInt64Gauge("int64.gauge")
b.ResetTimer()
for i := 0; i < b.N; i++ {
gau.Set(ctx, int64(i), labs)
}
}
func BenchmarkInt64GaugeHandleAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
gau := fix.sdk.NewInt64Gauge("int64.gauge")
handle := gau.Bind(labs)
b.ResetTimer()
for i := 0; i < b.N; i++ {
handle.Set(ctx, int64(i))
}
}
func BenchmarkFloat64GaugeAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
gau := fix.sdk.NewFloat64Gauge("float64.gauge")
b.ResetTimer()
for i := 0; i < b.N; i++ {
gau.Set(ctx, float64(i), labs)
}
}
func BenchmarkFloat64GaugeHandleAdd(b *testing.B) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
gau := fix.sdk.NewFloat64Gauge("float64.gauge")
handle := gau.Bind(labs)
b.ResetTimer()
for i := 0; i < b.N; i++ {
handle.Set(ctx, float64(i))
}
}
// Measures
func benchmarkInt64MeasureAdd(b *testing.B, name string) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
mea := fix.sdk.NewInt64Measure(name)
b.ResetTimer()
for i := 0; i < b.N; i++ {
mea.Record(ctx, int64(i), labs)
}
}
func benchmarkInt64MeasureHandleAdd(b *testing.B, name string) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
mea := fix.sdk.NewInt64Measure(name)
handle := mea.Bind(labs)
b.ResetTimer()
for i := 0; i < b.N; i++ {
handle.Record(ctx, int64(i))
}
}
func benchmarkFloat64MeasureAdd(b *testing.B, name string) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
mea := fix.sdk.NewFloat64Measure(name)
b.ResetTimer()
for i := 0; i < b.N; i++ {
mea.Record(ctx, float64(i), labs)
}
}
func benchmarkFloat64MeasureHandleAdd(b *testing.B, name string) {
ctx := context.Background()
fix := newFixture(b)
labs := fix.sdk.Labels(makeLabels(1)...)
mea := fix.sdk.NewFloat64Measure(name)
handle := mea.Bind(labs)
b.ResetTimer()
for i := 0; i < b.N; i++ {
handle.Record(ctx, float64(i))
}
}
// MaxSumCount
func BenchmarkInt64MaxSumCountAdd(b *testing.B) {
benchmarkInt64MeasureAdd(b, "int64.minmaxsumcount")
}
func BenchmarkInt64MaxSumCountHandleAdd(b *testing.B) {
benchmarkInt64MeasureHandleAdd(b, "int64.minmaxsumcount")
}
func BenchmarkFloat64MaxSumCountAdd(b *testing.B) {
benchmarkFloat64MeasureAdd(b, "float64.minmaxsumcount")
}
func BenchmarkFloat64MaxSumCountHandleAdd(b *testing.B) {
benchmarkFloat64MeasureHandleAdd(b, "float64.minmaxsumcount")
}
// DDSketch
func BenchmarkInt64DDSketchAdd(b *testing.B) {
benchmarkInt64MeasureAdd(b, "int64.ddsketch")
}
func BenchmarkInt64DDSketchHandleAdd(b *testing.B) {
benchmarkInt64MeasureHandleAdd(b, "int64.ddsketch")
}
func BenchmarkFloat64DDSketchAdd(b *testing.B) {
benchmarkFloat64MeasureAdd(b, "float64.ddsketch")
}
func BenchmarkFloat64DDSketchHandleAdd(b *testing.B) {
benchmarkFloat64MeasureHandleAdd(b, "float64.ddsketch")
}
// Array
func BenchmarkInt64ArrayAdd(b *testing.B) {
benchmarkInt64MeasureAdd(b, "int64.array")
}
func BenchmarkInt64ArrayHandleAdd(b *testing.B) {
benchmarkInt64MeasureHandleAdd(b, "int64.array")
}
func BenchmarkFloat64ArrayAdd(b *testing.B) {
benchmarkFloat64MeasureAdd(b, "float64.array")
}
func BenchmarkFloat64ArrayHandleAdd(b *testing.B) {
benchmarkFloat64MeasureHandleAdd(b, "float64.array")
}