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* Pool sortables used to create attribute sets * Move sync pool to attribute pkg * Add change to changelog * Fix comment * Apply suggestions from code review Co-authored-by: Peter Liu <lpfvip2008@gmail.com> * Update sdk/metric/instrument.go Co-authored-by: Robert Pająk <pellared@hotmail.com> * Update comment based on feedback * Apply feedback --------- Co-authored-by: Peter Liu <lpfvip2008@gmail.com> Co-authored-by: Robert Pająk <pellared@hotmail.com>
63 lines
1.7 KiB
Go
63 lines
1.7 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 metric
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import (
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"context"
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"testing"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/sdk/metric/internal"
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)
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func BenchmarkInstrument(b *testing.B) {
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attr := func(id int) []attribute.KeyValue {
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return []attribute.KeyValue{
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attribute.String("user", "Alice"),
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attribute.Bool("admin", true),
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attribute.Int("id", id),
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}
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}
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b.Run("instrumentImpl/aggregate", func(b *testing.B) {
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inst := instrumentImpl[int64]{aggregators: []internal.Aggregator[int64]{
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internal.NewLastValue[int64](),
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internal.NewCumulativeSum[int64](true),
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internal.NewDeltaSum[int64](true),
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}}
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ctx := context.Background()
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b.ReportAllocs()
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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inst.aggregate(ctx, int64(i), attr(i))
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}
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})
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b.Run("observable/observe", func(b *testing.B) {
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o := observable[int64]{aggregators: []internal.Aggregator[int64]{
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internal.NewLastValue[int64](),
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internal.NewCumulativeSum[int64](true),
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internal.NewDeltaSum[int64](true),
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}}
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b.ReportAllocs()
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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o.observe(int64(i), attr(i))
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}
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})
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}
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