mirror of
https://github.com/open-telemetry/opentelemetry-go.git
synced 2025-04-13 11:30:31 +02:00
173 lines
4.4 KiB
Go
173 lines
4.4 KiB
Go
// Copyright The OpenTelemetry Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate"
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import (
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"context"
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"strconv"
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"testing"
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"time"
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"github.com/stretchr/testify/assert"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/sdk/metric/metricdata"
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"go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest"
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)
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var (
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keyUser = "user"
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userAlice = attribute.String(keyUser, "Alice")
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userBob = attribute.String(keyUser, "Bob")
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adminTrue = attribute.Bool("admin", true)
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adminFalse = attribute.Bool("admin", false)
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alice = attribute.NewSet(userAlice, adminTrue)
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bob = attribute.NewSet(userBob, adminFalse)
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// Filtered.
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attrFltr = func(kv attribute.KeyValue) bool {
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return kv.Key == attribute.Key(keyUser)
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}
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fltrAlice = attribute.NewSet(userAlice)
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fltrBob = attribute.NewSet(userBob)
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// Sat Jan 01 2000 00:00:00 GMT+0000.
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staticTime = time.Unix(946684800, 0)
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staticNowFunc = func() time.Time { return staticTime }
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// Pass to t.Cleanup to override the now function with staticNowFunc and
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// revert once the test completes. E.g. t.Cleanup(mockTime(now)).
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mockTime = func(orig func() time.Time) (cleanup func()) {
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now = staticNowFunc
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return func() { now = orig }
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}
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)
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func TestBuilderFilter(t *testing.T) {
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t.Run("Int64", testBuilderFilter[int64]())
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t.Run("Float64", testBuilderFilter[float64]())
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}
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func testBuilderFilter[N int64 | float64]() func(t *testing.T) {
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return func(t *testing.T) {
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t.Helper()
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value, attr := N(1), alice
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run := func(b Builder[N], wantA attribute.Set) func(*testing.T) {
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return func(t *testing.T) {
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t.Helper()
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meas := b.filter(func(_ context.Context, v N, a attribute.Set) {
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assert.Equal(t, value, v, "measured incorrect value")
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assert.Equal(t, wantA, a, "measured incorrect attributes")
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})
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meas(context.Background(), value, attr)
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}
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}
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t.Run("NoFilter", run(Builder[N]{}, attr))
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t.Run("Filter", run(Builder[N]{Filter: attrFltr}, fltrAlice))
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}
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}
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type arg[N int64 | float64] struct {
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ctx context.Context
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value N
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attr attribute.Set
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}
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type output struct {
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n int
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agg metricdata.Aggregation
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}
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type teststep[N int64 | float64] struct {
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input []arg[N]
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expect output
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}
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func test[N int64 | float64](meas Measure[N], comp ComputeAggregation, steps []teststep[N]) func(*testing.T) {
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return func(t *testing.T) {
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t.Helper()
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got := new(metricdata.Aggregation)
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for i, step := range steps {
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for _, args := range step.input {
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meas(args.ctx, args.value, args.attr)
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}
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t.Logf("step: %d", i)
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assert.Equal(t, step.expect.n, comp(got), "incorrect data size")
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metricdatatest.AssertAggregationsEqual(t, step.expect.agg, *got)
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}
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}
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}
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func benchmarkAggregate[N int64 | float64](factory func() (Measure[N], ComputeAggregation)) func(*testing.B) {
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counts := []int{1, 10, 100}
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return func(b *testing.B) {
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for _, n := range counts {
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b.Run(strconv.Itoa(n), func(b *testing.B) {
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benchmarkAggregateN(b, factory, n)
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})
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}
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}
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}
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var bmarkRes metricdata.Aggregation
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func benchmarkAggregateN[N int64 | float64](b *testing.B, factory func() (Measure[N], ComputeAggregation), count int) {
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ctx := context.Background()
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attrs := make([]attribute.Set, count)
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for i := range attrs {
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attrs[i] = attribute.NewSet(attribute.Int("value", i))
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}
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b.Run("Measure", func(b *testing.B) {
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got := &bmarkRes
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meas, comp := factory()
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b.ReportAllocs()
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b.ResetTimer()
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for n := 0; n < b.N; n++ {
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for _, attr := range attrs {
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meas(ctx, 1, attr)
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}
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}
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comp(got)
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})
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b.Run("ComputeAggregation", func(b *testing.B) {
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comps := make([]ComputeAggregation, b.N)
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for n := range comps {
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meas, comp := factory()
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for _, attr := range attrs {
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meas(ctx, 1, attr)
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}
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comps[n] = comp
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}
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got := &bmarkRes
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b.ReportAllocs()
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b.ResetTimer()
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for n := 0; n < b.N; n++ {
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comps[n](got)
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}
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})
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}
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