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opentelemetry-go/sdk/log/simple_test.go

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// Copyright The OpenTelemetry Authors
// SPDX-License-Identifier: Apache-2.0
package log_test
import (
"context"
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"io"
"strings"
"sync"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
"go.opentelemetry.io/otel/sdk/log"
)
type exporter struct {
records []log.Record
exportCalled bool
shutdownCalled bool
forceFlushCalled bool
}
func (e *exporter) Export(_ context.Context, r []log.Record) error {
e.records = r
e.exportCalled = true
return nil
}
func (e *exporter) Shutdown(context.Context) error {
e.shutdownCalled = true
return nil
}
func (e *exporter) ForceFlush(context.Context) error {
e.forceFlushCalled = true
return nil
}
func TestSimpleProcessorOnEmit(t *testing.T) {
e := new(exporter)
s := log.NewSimpleProcessor(e)
sdk/log: Processor.OnEmit accetps a Record pointer (#5636) ## What Change `Processor.OnEmit` methods to accept a record pointer. ## Why Fixes https://github.com/open-telemetry/opentelemetry-go/issues/5219 This would be specification compliant according to discussions around https://github.com/open-telemetry/opentelemetry-specification/pull/4067 This is inline of how processors Go span processors works and how log processors work in other languages. If the performance (an additional heap allocation during log processing) would occur to be a significant problem for some users, we have at few possible solutions: 1. Utilize PGO which may also lead to decreasing heap allocations (sources: https://landontclipp.github.io/blog/2023/08/25/profile-guided-optimizations-in-go/#devirtualization, https://andrewwphillips.github.io/blog/pgo.html). Currently it does not but I expect it may change in future. 2. Improve the Go compilers escape analysis (related to previous point) 3. introduce new "chaining processor" which can be also desirable in other languages ## Benchstat `old` is from `main`. `new` is from current branch. `new-pgo` is from current branch with PGO optimization. I first run benchmarks to generate a CPU profile using `go test -run=^$ -bench=. -count=10 -cpuprofile default.pgo` and then I rerun the tests with PGO. Currently, the number of heap allocations is the same. ``` goos: linux goarch: amd64 pkg: go.opentelemetry.io/otel/sdk/log cpu: Intel(R) Core(TM) i9-10885H CPU @ 2.40GHz │ old.txt │ new.txt │ new-pgo.txt │ │ sec/op │ sec/op vs base │ sec/op vs base │ BatchProcessorOnEmit-16 402.7n ± 18% 382.0n ± 7% ~ (p=0.247 n=10) 376.7n ± 14% ~ (p=0.210 n=10) Processor/Simple-16 350.9n ± 9% 782.5n ± 6% +123.00% (p=0.000 n=10) 755.1n ± 5% +115.19% (p=0.000 n=10) Processor/Batch-16 1.333µ ± 15% 1.497µ ± 11% +12.27% (p=0.000 n=10) 1.528µ ± 8% +14.63% (p=0.000 n=10) Processor/SetTimestampSimple-16 329.5n ± 15% 711.6n ± 4% +115.93% (p=0.000 n=10) 721.9n ± 5% +119.04% (p=0.000 n=10) Processor/SetTimestampBatch-16 1.163µ ± 2% 1.524µ ± 3% +31.03% (p=0.000 n=10) 1.461µ ± 5% +25.57% (p=0.000 n=10) Processor/AddAttributesSimple-16 408.7n ± 3% 810.1n ± 4% +98.21% (p=0.000 n=10) 830.1n ± 4% +103.11% (p=0.000 n=10) Processor/AddAttributesBatch-16 1.270µ ± 2% 1.623µ ± 4% +27.71% (p=0.000 n=10) 1.597µ ± 7% +25.66% (p=0.000 n=10) Processor/SetAttributesSimple-16 436.2n ± 10% 796.1n ± 3% +82.50% (p=0.000 n=10) 817.6n ± 4% +87.43% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.202µ ± 2% 1.552µ ± 2% +29.06% (p=0.000 n=10) 1.659µ ± 11% +37.96% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 366.6n ± 3% 363.7n ± 7% ~ (p=0.952 n=10) 426.2n ± 7% +16.27% (p=0.000 n=10) LoggerNewRecord/10_attributes-16 1.711µ ± 2% 1.909µ ± 18% +11.57% (p=0.000 n=10) 2.077µ ± 10% +21.39% (p=0.000 n=10) LoggerProviderLogger-16 650.1n ± 4% 690.1n ± 8% +6.15% (p=0.019 n=10) 737.6n ± 13% +13.47% (p=0.004 n=10) WalkAttributes/1_attributes-16 5.264n ± 12% 5.510n ± 8% ~ (p=0.812 n=10) 5.865n ± 5% +11.41% (p=0.011 n=10) WalkAttributes/10_attributes-16 5.440n ± 8% 5.881n ± 7% +8.12% (p=0.004 n=10) 6.104n ± 7% +12.21% (p=0.005 n=10) WalkAttributes/100_attributes-16 5.403n ± 9% 5.894n ± 9% +9.10% (p=0.029 n=10) 5.783n ± 6% ~ (p=0.052 n=10) WalkAttributes/1000_attributes-16 5.196n ± 4% 5.860n ± 8% +12.79% (p=0.000 n=10) 5.981n ± 13% +15.13% (p=0.002 n=10) SetAddAttributes/SetAttributes-16 181.2n ± 14% 208.1n ± 12% +14.85% (p=0.005 n=10) 209.9n ± 11% +15.87% (p=0.007 n=10) SetAddAttributes/AddAttributes-16 156.7n ± 14% 161.1n ± 16% ~ (p=0.190 n=10) 165.5n ± 15% ~ (p=0.315 n=10) SimpleProcessorOnEmit-16 11.775n ± 10% 9.027n ± 17% -23.33% (p=0.000 n=10) 9.389n ± 18% -20.26% (p=0.002 n=10) geomean 169.1n 209.6n +23.98% 215.5n +27.48% │ old.txt │ new.txt │ new-pgo.txt │ │ B/s │ B/s vs base │ B/s vs base │ BatchProcessorOnEmit-16 1004.39Mi ± 15% 79.88Mi ± 7% -92.05% (p=0.000 n=10) 81.06Mi ± 12% -91.93% (p=0.000 n=10) │ old.txt │ new.txt │ new-pgo.txt │ │ B/op │ B/op vs base │ B/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/Batch-16 621.5 ± 2% 1057.5 ± 1% +70.15% (p=0.000 n=10) 1064.5 ± 1% +71.28% (p=0.000 n=10) Processor/SetTimestampSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 418.0 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 626.5 ± 3% 1049.5 ± 1% +67.52% (p=0.000 n=10) 1057.5 ± 2% +68.79% (p=0.000 n=10) Processor/AddAttributesSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 616.5 ± 3% 1053.0 ± 2% +70.80% (p=0.000 n=10) 1048.5 ± 2% +70.07% (p=0.000 n=10) Processor/SetAttributesSimple-16 48.00 ± 0% 466.00 ± 0% +870.83% (p=0.000 n=10) 466.00 ± 0% +870.83% (p=0.000 n=10) Processor/SetAttributesBatch-16 648.0 ± 3% 1089.5 ± 1% +68.13% (p=0.000 n=10) 1087.5 ± 4% +67.82% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 610.0 ± 0% 610.0 ± 0% ~ (p=1.000 n=10) ¹ 610.0 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 354.5 ± 6% 368.0 ± 7% ~ (p=0.288 n=10) 391.0 ± 29% ~ (p=0.239 n=10) WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 48.00 ± 0% 48.00 ± 0% ~ (p=1.000 n=10) ¹ 48.00 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean │ old.txt │ new.txt │ new-pgo.txt │ │ allocs/op │ allocs/op vs base │ allocs/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/Batch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetAttributesSimple-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 4.000 ± 0% 4.000 ± 0% ~ (p=1.000 n=10) ¹ 4.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean ```
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r := new(log.Record)
r.SetSeverityText("test")
_ = s.OnEmit(context.Background(), r)
require.True(t, e.exportCalled, "exporter Export not called")
sdk/log: Processor.OnEmit accetps a Record pointer (#5636) ## What Change `Processor.OnEmit` methods to accept a record pointer. ## Why Fixes https://github.com/open-telemetry/opentelemetry-go/issues/5219 This would be specification compliant according to discussions around https://github.com/open-telemetry/opentelemetry-specification/pull/4067 This is inline of how processors Go span processors works and how log processors work in other languages. If the performance (an additional heap allocation during log processing) would occur to be a significant problem for some users, we have at few possible solutions: 1. Utilize PGO which may also lead to decreasing heap allocations (sources: https://landontclipp.github.io/blog/2023/08/25/profile-guided-optimizations-in-go/#devirtualization, https://andrewwphillips.github.io/blog/pgo.html). Currently it does not but I expect it may change in future. 2. Improve the Go compilers escape analysis (related to previous point) 3. introduce new "chaining processor" which can be also desirable in other languages ## Benchstat `old` is from `main`. `new` is from current branch. `new-pgo` is from current branch with PGO optimization. I first run benchmarks to generate a CPU profile using `go test -run=^$ -bench=. -count=10 -cpuprofile default.pgo` and then I rerun the tests with PGO. Currently, the number of heap allocations is the same. ``` goos: linux goarch: amd64 pkg: go.opentelemetry.io/otel/sdk/log cpu: Intel(R) Core(TM) i9-10885H CPU @ 2.40GHz │ old.txt │ new.txt │ new-pgo.txt │ │ sec/op │ sec/op vs base │ sec/op vs base │ BatchProcessorOnEmit-16 402.7n ± 18% 382.0n ± 7% ~ (p=0.247 n=10) 376.7n ± 14% ~ (p=0.210 n=10) Processor/Simple-16 350.9n ± 9% 782.5n ± 6% +123.00% (p=0.000 n=10) 755.1n ± 5% +115.19% (p=0.000 n=10) Processor/Batch-16 1.333µ ± 15% 1.497µ ± 11% +12.27% (p=0.000 n=10) 1.528µ ± 8% +14.63% (p=0.000 n=10) Processor/SetTimestampSimple-16 329.5n ± 15% 711.6n ± 4% +115.93% (p=0.000 n=10) 721.9n ± 5% +119.04% (p=0.000 n=10) Processor/SetTimestampBatch-16 1.163µ ± 2% 1.524µ ± 3% +31.03% (p=0.000 n=10) 1.461µ ± 5% +25.57% (p=0.000 n=10) Processor/AddAttributesSimple-16 408.7n ± 3% 810.1n ± 4% +98.21% (p=0.000 n=10) 830.1n ± 4% +103.11% (p=0.000 n=10) Processor/AddAttributesBatch-16 1.270µ ± 2% 1.623µ ± 4% +27.71% (p=0.000 n=10) 1.597µ ± 7% +25.66% (p=0.000 n=10) Processor/SetAttributesSimple-16 436.2n ± 10% 796.1n ± 3% +82.50% (p=0.000 n=10) 817.6n ± 4% +87.43% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.202µ ± 2% 1.552µ ± 2% +29.06% (p=0.000 n=10) 1.659µ ± 11% +37.96% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 366.6n ± 3% 363.7n ± 7% ~ (p=0.952 n=10) 426.2n ± 7% +16.27% (p=0.000 n=10) LoggerNewRecord/10_attributes-16 1.711µ ± 2% 1.909µ ± 18% +11.57% (p=0.000 n=10) 2.077µ ± 10% +21.39% (p=0.000 n=10) LoggerProviderLogger-16 650.1n ± 4% 690.1n ± 8% +6.15% (p=0.019 n=10) 737.6n ± 13% +13.47% (p=0.004 n=10) WalkAttributes/1_attributes-16 5.264n ± 12% 5.510n ± 8% ~ (p=0.812 n=10) 5.865n ± 5% +11.41% (p=0.011 n=10) WalkAttributes/10_attributes-16 5.440n ± 8% 5.881n ± 7% +8.12% (p=0.004 n=10) 6.104n ± 7% +12.21% (p=0.005 n=10) WalkAttributes/100_attributes-16 5.403n ± 9% 5.894n ± 9% +9.10% (p=0.029 n=10) 5.783n ± 6% ~ (p=0.052 n=10) WalkAttributes/1000_attributes-16 5.196n ± 4% 5.860n ± 8% +12.79% (p=0.000 n=10) 5.981n ± 13% +15.13% (p=0.002 n=10) SetAddAttributes/SetAttributes-16 181.2n ± 14% 208.1n ± 12% +14.85% (p=0.005 n=10) 209.9n ± 11% +15.87% (p=0.007 n=10) SetAddAttributes/AddAttributes-16 156.7n ± 14% 161.1n ± 16% ~ (p=0.190 n=10) 165.5n ± 15% ~ (p=0.315 n=10) SimpleProcessorOnEmit-16 11.775n ± 10% 9.027n ± 17% -23.33% (p=0.000 n=10) 9.389n ± 18% -20.26% (p=0.002 n=10) geomean 169.1n 209.6n +23.98% 215.5n +27.48% │ old.txt │ new.txt │ new-pgo.txt │ │ B/s │ B/s vs base │ B/s vs base │ BatchProcessorOnEmit-16 1004.39Mi ± 15% 79.88Mi ± 7% -92.05% (p=0.000 n=10) 81.06Mi ± 12% -91.93% (p=0.000 n=10) │ old.txt │ new.txt │ new-pgo.txt │ │ B/op │ B/op vs base │ B/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/Batch-16 621.5 ± 2% 1057.5 ± 1% +70.15% (p=0.000 n=10) 1064.5 ± 1% +71.28% (p=0.000 n=10) Processor/SetTimestampSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 418.0 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 626.5 ± 3% 1049.5 ± 1% +67.52% (p=0.000 n=10) 1057.5 ± 2% +68.79% (p=0.000 n=10) Processor/AddAttributesSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 616.5 ± 3% 1053.0 ± 2% +70.80% (p=0.000 n=10) 1048.5 ± 2% +70.07% (p=0.000 n=10) Processor/SetAttributesSimple-16 48.00 ± 0% 466.00 ± 0% +870.83% (p=0.000 n=10) 466.00 ± 0% +870.83% (p=0.000 n=10) Processor/SetAttributesBatch-16 648.0 ± 3% 1089.5 ± 1% +68.13% (p=0.000 n=10) 1087.5 ± 4% +67.82% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 610.0 ± 0% 610.0 ± 0% ~ (p=1.000 n=10) ¹ 610.0 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 354.5 ± 6% 368.0 ± 7% ~ (p=0.288 n=10) 391.0 ± 29% ~ (p=0.239 n=10) WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 48.00 ± 0% 48.00 ± 0% ~ (p=1.000 n=10) ¹ 48.00 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean │ old.txt │ new.txt │ new-pgo.txt │ │ allocs/op │ allocs/op vs base │ allocs/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/Batch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetAttributesSimple-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 4.000 ± 0% 4.000 ± 0% ~ (p=1.000 n=10) ¹ 4.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean ```
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assert.Equal(t, []log.Record{*r}, e.records)
}
func TestSimpleProcessorShutdown(t *testing.T) {
e := new(exporter)
s := log.NewSimpleProcessor(e)
_ = s.Shutdown(context.Background())
require.True(t, e.shutdownCalled, "exporter Shutdown not called")
}
func TestSimpleProcessorForceFlush(t *testing.T) {
e := new(exporter)
s := log.NewSimpleProcessor(e)
_ = s.ForceFlush(context.Background())
require.True(t, e.forceFlushCalled, "exporter ForceFlush not called")
}
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type writerExporter struct {
io.Writer
}
func (e *writerExporter) Export(_ context.Context, records []log.Record) error {
for _, r := range records {
_, _ = io.WriteString(e.Writer, r.Body().String())
}
return nil
}
func (e *writerExporter) Shutdown(context.Context) error {
return nil
}
func (e *writerExporter) ForceFlush(context.Context) error {
return nil
}
func TestSimpleProcessorEmpty(t *testing.T) {
assert.NotPanics(t, func() {
var s log.SimpleProcessor
ctx := context.Background()
record := new(log.Record)
assert.NoError(t, s.OnEmit(ctx, record), "OnEmit")
assert.NoError(t, s.ForceFlush(ctx), "ForceFlush")
assert.NoError(t, s.Shutdown(ctx), "Shutdown")
})
}
func TestSimpleProcessorConcurrentSafe(t *testing.T) {
const goRoutineN = 10
var wg sync.WaitGroup
wg.Add(goRoutineN)
sdk/log: Processor.OnEmit accetps a Record pointer (#5636) ## What Change `Processor.OnEmit` methods to accept a record pointer. ## Why Fixes https://github.com/open-telemetry/opentelemetry-go/issues/5219 This would be specification compliant according to discussions around https://github.com/open-telemetry/opentelemetry-specification/pull/4067 This is inline of how processors Go span processors works and how log processors work in other languages. If the performance (an additional heap allocation during log processing) would occur to be a significant problem for some users, we have at few possible solutions: 1. Utilize PGO which may also lead to decreasing heap allocations (sources: https://landontclipp.github.io/blog/2023/08/25/profile-guided-optimizations-in-go/#devirtualization, https://andrewwphillips.github.io/blog/pgo.html). Currently it does not but I expect it may change in future. 2. Improve the Go compilers escape analysis (related to previous point) 3. introduce new "chaining processor" which can be also desirable in other languages ## Benchstat `old` is from `main`. `new` is from current branch. `new-pgo` is from current branch with PGO optimization. I first run benchmarks to generate a CPU profile using `go test -run=^$ -bench=. -count=10 -cpuprofile default.pgo` and then I rerun the tests with PGO. Currently, the number of heap allocations is the same. ``` goos: linux goarch: amd64 pkg: go.opentelemetry.io/otel/sdk/log cpu: Intel(R) Core(TM) i9-10885H CPU @ 2.40GHz │ old.txt │ new.txt │ new-pgo.txt │ │ sec/op │ sec/op vs base │ sec/op vs base │ BatchProcessorOnEmit-16 402.7n ± 18% 382.0n ± 7% ~ (p=0.247 n=10) 376.7n ± 14% ~ (p=0.210 n=10) Processor/Simple-16 350.9n ± 9% 782.5n ± 6% +123.00% (p=0.000 n=10) 755.1n ± 5% +115.19% (p=0.000 n=10) Processor/Batch-16 1.333µ ± 15% 1.497µ ± 11% +12.27% (p=0.000 n=10) 1.528µ ± 8% +14.63% (p=0.000 n=10) Processor/SetTimestampSimple-16 329.5n ± 15% 711.6n ± 4% +115.93% (p=0.000 n=10) 721.9n ± 5% +119.04% (p=0.000 n=10) Processor/SetTimestampBatch-16 1.163µ ± 2% 1.524µ ± 3% +31.03% (p=0.000 n=10) 1.461µ ± 5% +25.57% (p=0.000 n=10) Processor/AddAttributesSimple-16 408.7n ± 3% 810.1n ± 4% +98.21% (p=0.000 n=10) 830.1n ± 4% +103.11% (p=0.000 n=10) Processor/AddAttributesBatch-16 1.270µ ± 2% 1.623µ ± 4% +27.71% (p=0.000 n=10) 1.597µ ± 7% +25.66% (p=0.000 n=10) Processor/SetAttributesSimple-16 436.2n ± 10% 796.1n ± 3% +82.50% (p=0.000 n=10) 817.6n ± 4% +87.43% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.202µ ± 2% 1.552µ ± 2% +29.06% (p=0.000 n=10) 1.659µ ± 11% +37.96% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 366.6n ± 3% 363.7n ± 7% ~ (p=0.952 n=10) 426.2n ± 7% +16.27% (p=0.000 n=10) LoggerNewRecord/10_attributes-16 1.711µ ± 2% 1.909µ ± 18% +11.57% (p=0.000 n=10) 2.077µ ± 10% +21.39% (p=0.000 n=10) LoggerProviderLogger-16 650.1n ± 4% 690.1n ± 8% +6.15% (p=0.019 n=10) 737.6n ± 13% +13.47% (p=0.004 n=10) WalkAttributes/1_attributes-16 5.264n ± 12% 5.510n ± 8% ~ (p=0.812 n=10) 5.865n ± 5% +11.41% (p=0.011 n=10) WalkAttributes/10_attributes-16 5.440n ± 8% 5.881n ± 7% +8.12% (p=0.004 n=10) 6.104n ± 7% +12.21% (p=0.005 n=10) WalkAttributes/100_attributes-16 5.403n ± 9% 5.894n ± 9% +9.10% (p=0.029 n=10) 5.783n ± 6% ~ (p=0.052 n=10) WalkAttributes/1000_attributes-16 5.196n ± 4% 5.860n ± 8% +12.79% (p=0.000 n=10) 5.981n ± 13% +15.13% (p=0.002 n=10) SetAddAttributes/SetAttributes-16 181.2n ± 14% 208.1n ± 12% +14.85% (p=0.005 n=10) 209.9n ± 11% +15.87% (p=0.007 n=10) SetAddAttributes/AddAttributes-16 156.7n ± 14% 161.1n ± 16% ~ (p=0.190 n=10) 165.5n ± 15% ~ (p=0.315 n=10) SimpleProcessorOnEmit-16 11.775n ± 10% 9.027n ± 17% -23.33% (p=0.000 n=10) 9.389n ± 18% -20.26% (p=0.002 n=10) geomean 169.1n 209.6n +23.98% 215.5n +27.48% │ old.txt │ new.txt │ new-pgo.txt │ │ B/s │ B/s vs base │ B/s vs base │ BatchProcessorOnEmit-16 1004.39Mi ± 15% 79.88Mi ± 7% -92.05% (p=0.000 n=10) 81.06Mi ± 12% -91.93% (p=0.000 n=10) │ old.txt │ new.txt │ new-pgo.txt │ │ B/op │ B/op vs base │ B/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/Batch-16 621.5 ± 2% 1057.5 ± 1% +70.15% (p=0.000 n=10) 1064.5 ± 1% +71.28% (p=0.000 n=10) Processor/SetTimestampSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 418.0 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 626.5 ± 3% 1049.5 ± 1% +67.52% (p=0.000 n=10) 1057.5 ± 2% +68.79% (p=0.000 n=10) Processor/AddAttributesSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 616.5 ± 3% 1053.0 ± 2% +70.80% (p=0.000 n=10) 1048.5 ± 2% +70.07% (p=0.000 n=10) Processor/SetAttributesSimple-16 48.00 ± 0% 466.00 ± 0% +870.83% (p=0.000 n=10) 466.00 ± 0% +870.83% (p=0.000 n=10) Processor/SetAttributesBatch-16 648.0 ± 3% 1089.5 ± 1% +68.13% (p=0.000 n=10) 1087.5 ± 4% +67.82% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 610.0 ± 0% 610.0 ± 0% ~ (p=1.000 n=10) ¹ 610.0 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 354.5 ± 6% 368.0 ± 7% ~ (p=0.288 n=10) 391.0 ± 29% ~ (p=0.239 n=10) WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 48.00 ± 0% 48.00 ± 0% ~ (p=1.000 n=10) ¹ 48.00 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean │ old.txt │ new.txt │ new-pgo.txt │ │ allocs/op │ allocs/op vs base │ allocs/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/Batch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetAttributesSimple-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 4.000 ± 0% 4.000 ± 0% ~ (p=1.000 n=10) ¹ 4.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean ```
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r := new(log.Record)
r.SetSeverityText("test")
ctx := context.Background()
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e := &writerExporter{new(strings.Builder)}
s := log.NewSimpleProcessor(e)
for i := 0; i < goRoutineN; i++ {
go func() {
defer wg.Done()
_ = s.OnEmit(ctx, r)
_ = s.Shutdown(ctx)
_ = s.ForceFlush(ctx)
}()
}
wg.Wait()
}
func BenchmarkSimpleProcessorOnEmit(b *testing.B) {
sdk/log: Processor.OnEmit accetps a Record pointer (#5636) ## What Change `Processor.OnEmit` methods to accept a record pointer. ## Why Fixes https://github.com/open-telemetry/opentelemetry-go/issues/5219 This would be specification compliant according to discussions around https://github.com/open-telemetry/opentelemetry-specification/pull/4067 This is inline of how processors Go span processors works and how log processors work in other languages. If the performance (an additional heap allocation during log processing) would occur to be a significant problem for some users, we have at few possible solutions: 1. Utilize PGO which may also lead to decreasing heap allocations (sources: https://landontclipp.github.io/blog/2023/08/25/profile-guided-optimizations-in-go/#devirtualization, https://andrewwphillips.github.io/blog/pgo.html). Currently it does not but I expect it may change in future. 2. Improve the Go compilers escape analysis (related to previous point) 3. introduce new "chaining processor" which can be also desirable in other languages ## Benchstat `old` is from `main`. `new` is from current branch. `new-pgo` is from current branch with PGO optimization. I first run benchmarks to generate a CPU profile using `go test -run=^$ -bench=. -count=10 -cpuprofile default.pgo` and then I rerun the tests with PGO. Currently, the number of heap allocations is the same. ``` goos: linux goarch: amd64 pkg: go.opentelemetry.io/otel/sdk/log cpu: Intel(R) Core(TM) i9-10885H CPU @ 2.40GHz │ old.txt │ new.txt │ new-pgo.txt │ │ sec/op │ sec/op vs base │ sec/op vs base │ BatchProcessorOnEmit-16 402.7n ± 18% 382.0n ± 7% ~ (p=0.247 n=10) 376.7n ± 14% ~ (p=0.210 n=10) Processor/Simple-16 350.9n ± 9% 782.5n ± 6% +123.00% (p=0.000 n=10) 755.1n ± 5% +115.19% (p=0.000 n=10) Processor/Batch-16 1.333µ ± 15% 1.497µ ± 11% +12.27% (p=0.000 n=10) 1.528µ ± 8% +14.63% (p=0.000 n=10) Processor/SetTimestampSimple-16 329.5n ± 15% 711.6n ± 4% +115.93% (p=0.000 n=10) 721.9n ± 5% +119.04% (p=0.000 n=10) Processor/SetTimestampBatch-16 1.163µ ± 2% 1.524µ ± 3% +31.03% (p=0.000 n=10) 1.461µ ± 5% +25.57% (p=0.000 n=10) Processor/AddAttributesSimple-16 408.7n ± 3% 810.1n ± 4% +98.21% (p=0.000 n=10) 830.1n ± 4% +103.11% (p=0.000 n=10) Processor/AddAttributesBatch-16 1.270µ ± 2% 1.623µ ± 4% +27.71% (p=0.000 n=10) 1.597µ ± 7% +25.66% (p=0.000 n=10) Processor/SetAttributesSimple-16 436.2n ± 10% 796.1n ± 3% +82.50% (p=0.000 n=10) 817.6n ± 4% +87.43% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.202µ ± 2% 1.552µ ± 2% +29.06% (p=0.000 n=10) 1.659µ ± 11% +37.96% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 366.6n ± 3% 363.7n ± 7% ~ (p=0.952 n=10) 426.2n ± 7% +16.27% (p=0.000 n=10) LoggerNewRecord/10_attributes-16 1.711µ ± 2% 1.909µ ± 18% +11.57% (p=0.000 n=10) 2.077µ ± 10% +21.39% (p=0.000 n=10) LoggerProviderLogger-16 650.1n ± 4% 690.1n ± 8% +6.15% (p=0.019 n=10) 737.6n ± 13% +13.47% (p=0.004 n=10) WalkAttributes/1_attributes-16 5.264n ± 12% 5.510n ± 8% ~ (p=0.812 n=10) 5.865n ± 5% +11.41% (p=0.011 n=10) WalkAttributes/10_attributes-16 5.440n ± 8% 5.881n ± 7% +8.12% (p=0.004 n=10) 6.104n ± 7% +12.21% (p=0.005 n=10) WalkAttributes/100_attributes-16 5.403n ± 9% 5.894n ± 9% +9.10% (p=0.029 n=10) 5.783n ± 6% ~ (p=0.052 n=10) WalkAttributes/1000_attributes-16 5.196n ± 4% 5.860n ± 8% +12.79% (p=0.000 n=10) 5.981n ± 13% +15.13% (p=0.002 n=10) SetAddAttributes/SetAttributes-16 181.2n ± 14% 208.1n ± 12% +14.85% (p=0.005 n=10) 209.9n ± 11% +15.87% (p=0.007 n=10) SetAddAttributes/AddAttributes-16 156.7n ± 14% 161.1n ± 16% ~ (p=0.190 n=10) 165.5n ± 15% ~ (p=0.315 n=10) SimpleProcessorOnEmit-16 11.775n ± 10% 9.027n ± 17% -23.33% (p=0.000 n=10) 9.389n ± 18% -20.26% (p=0.002 n=10) geomean 169.1n 209.6n +23.98% 215.5n +27.48% │ old.txt │ new.txt │ new-pgo.txt │ │ B/s │ B/s vs base │ B/s vs base │ BatchProcessorOnEmit-16 1004.39Mi ± 15% 79.88Mi ± 7% -92.05% (p=0.000 n=10) 81.06Mi ± 12% -91.93% (p=0.000 n=10) │ old.txt │ new.txt │ new-pgo.txt │ │ B/op │ B/op vs base │ B/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/Batch-16 621.5 ± 2% 1057.5 ± 1% +70.15% (p=0.000 n=10) 1064.5 ± 1% +71.28% (p=0.000 n=10) Processor/SetTimestampSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 418.0 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 626.5 ± 3% 1049.5 ± 1% +67.52% (p=0.000 n=10) 1057.5 ± 2% +68.79% (p=0.000 n=10) Processor/AddAttributesSimple-16 0.0 ± 0% 417.0 ± 0% ? (p=0.000 n=10) 417.0 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 616.5 ± 3% 1053.0 ± 2% +70.80% (p=0.000 n=10) 1048.5 ± 2% +70.07% (p=0.000 n=10) Processor/SetAttributesSimple-16 48.00 ± 0% 466.00 ± 0% +870.83% (p=0.000 n=10) 466.00 ± 0% +870.83% (p=0.000 n=10) Processor/SetAttributesBatch-16 648.0 ± 3% 1089.5 ± 1% +68.13% (p=0.000 n=10) 1087.5 ± 4% +67.82% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 610.0 ± 0% 610.0 ± 0% ~ (p=1.000 n=10) ¹ 610.0 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 354.5 ± 6% 368.0 ± 7% ~ (p=0.288 n=10) 391.0 ± 29% ~ (p=0.239 n=10) WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 48.00 ± 0% 48.00 ± 0% ~ (p=1.000 n=10) ¹ 48.00 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean │ old.txt │ new.txt │ new-pgo.txt │ │ allocs/op │ allocs/op vs base │ allocs/op vs base │ BatchProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ Processor/Simple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/Batch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetTimestampBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesSimple-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/AddAttributesBatch-16 0.000 ± 0% 1.000 ± 0% ? (p=0.000 n=10) 1.000 ± 0% ? (p=0.000 n=10) Processor/SetAttributesSimple-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) Processor/SetAttributesBatch-16 1.000 ± 0% 2.000 ± 0% +100.00% (p=0.000 n=10) 2.000 ± 0% +100.00% (p=0.000 n=10) LoggerNewRecord/5_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerNewRecord/10_attributes-16 4.000 ± 0% 4.000 ± 0% ~ (p=1.000 n=10) ¹ 4.000 ± 0% ~ (p=1.000 n=10) ¹ LoggerProviderLogger-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/10_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/100_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ WalkAttributes/1000_attributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/SetAttributes-16 1.000 ± 0% 1.000 ± 0% ~ (p=1.000 n=10) ¹ 1.000 ± 0% ~ (p=1.000 n=10) ¹ SetAddAttributes/AddAttributes-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ SimpleProcessorOnEmit-16 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹ 0.000 ± 0% ~ (p=1.000 n=10) ¹ geomean ² ? ² ? ² ¹ all samples are equal ² summaries must be >0 to compute geomean ```
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r := new(log.Record)
r.SetSeverityText("test")
ctx := context.Background()
s := log.NewSimpleProcessor(nil)
b.ReportAllocs()
b.ResetTimer()
b.RunParallel(func(pb *testing.PB) {
var out error
for pb.Next() {
out = s.OnEmit(ctx, r)
}
_ = out
})
}