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Use a DropReservoir when an exemplar.AlwaysOffFilter is provided#8211

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dashpole merged 11 commits into
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dashpole:cheap_alwaysoff
Apr 21, 2026
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Use a DropReservoir when an exemplar.AlwaysOffFilter is provided#8211
dashpole merged 11 commits into
open-telemetry:mainfrom
dashpole:cheap_alwaysoff

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@dashpole dashpole commented Apr 15, 2026

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Fixes #6260, #6333

The spec for always off suggests this should "disable" the Exemplar feature:

An ExemplarFilter which makes no measurements eligible for being an Exemplar.
Using this ExemplarFilter is as good as disabling the Exemplar feature.

There were a few reports of much higher memory usage when exemplars were added. I looked into the reports, and it looks like exemplar reservoirs are expensive in terms of memory compared to the aggregation itself. Ideally, we shouldn't construct the reservoir when an AlwaysOff exemplar filter is used.

I couldn't find a super clean way to do this... exemplar.AlwaysOffFilter is a function, so I couldn't easily compare it without comparing the pointers. I'm open to other suggestions. The internet says that compiler optimizations could cause this logic to fail, but worst-case you get the existing behavior.

Benchmarks

I needed a benchmark that creates a new attribute set for each call to be able to see how much memory each attribute set uses, so I added a new one, and ran it against main.

Overall, it reduces the amount of memory used per-attribute-set by 70-88%, which is pretty substantial.

Overall,

                                                  │   old.txt   │               new.txt               │
                                                  │   sec/op    │    sec/op     vs base               │
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Counter-24            3.523µ ± 2%   3.745µ ± 29%   +6.32% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Counter-24          3.714µ ± 6%   3.879µ ±  5%        ~ (p=0.132 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64UpDownCounter-24      3.811µ ± 8%   3.941µ ±  5%        ~ (p=0.065 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64UpDownCounter-24    3.714µ ± 5%   3.822µ ±  1%        ~ (p=0.132 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Histogram-24          3.126µ ± 4%   3.333µ ±  4%   +6.61% (p=0.004 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Histogram-24        3.099µ ± 4%   3.204µ ±  8%        ~ (p=0.093 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Gauge-24              3.745µ ± 7%   3.902µ ±  4%        ~ (p=0.240 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Gauge-24            3.746µ ± 7%   3.862µ ±  2%        ~ (p=0.102 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Counter-24           3.621µ ± 3%   1.665µ ±  1%  -54.00% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Counter-24         3.639µ ± 2%   1.686µ ±  4%  -53.68% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64UpDownCounter-24     3.563µ ± 4%   1.700µ ±  4%  -52.29% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64UpDownCounter-24   3.634µ ± 1%   1.690µ ±  4%  -53.49% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Histogram-24         2.892µ ± 2%   2.005µ ±  2%  -30.66% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Histogram-24       2.962µ ± 5%   2.057µ ±  6%  -30.55% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Gauge-24             3.692µ ± 5%   1.599µ ±  2%  -56.68% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Gauge-24           3.651µ ± 3%   1.612µ ±  2%  -55.86% (p=0.002 n=6)
geomean                                             3.495µ        2.541µ        -27.30%

                                                  │   old.txt    │               new.txt               │
                                                  │     B/op     │     B/op      vs base               │
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Counter-24            3.107Ki ± 0%   3.107Ki ± 0%        ~ (p=0.121 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Counter-24          3.108Ki ± 0%   3.107Ki ± 0%        ~ (p=0.177 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64UpDownCounter-24      3.108Ki ± 0%   3.108Ki ± 0%        ~ (p=0.675 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64UpDownCounter-24    3.107Ki ± 0%   3.107Ki ± 0%        ~ (p=1.000 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Histogram-24          2.622Ki ± 0%   2.622Ki ± 0%        ~ (p=0.394 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Histogram-24        2.622Ki ± 0%   2.622Ki ± 0%        ~ (p=0.636 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Gauge-24              3.108Ki ± 0%   3.107Ki ± 0%        ~ (p=0.167 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Gauge-24            3.107Ki ± 0%   3.108Ki ± 0%        ~ (p=0.182 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Counter-24            3182.0 ± 0%     361.0 ± 0%  -88.65% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Counter-24          3182.5 ± 0%     360.5 ± 0%  -88.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64UpDownCounter-24      3182.0 ± 0%     359.5 ± 1%  -88.70% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64UpDownCounter-24    3182.0 ± 0%     361.0 ± 0%  -88.65% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Histogram-24          2684.0 ± 0%     773.0 ± 0%  -71.20% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Histogram-24        2684.0 ± 0%     773.0 ± 0%  -71.20% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Gauge-24              3182.0 ± 0%     361.0 ± 1%  -88.65% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Gauge-24            3182.0 ± 0%     361.0 ± 0%  -88.65% (p=0.002 n=6)
geomean                                             2.978Ki        1.127Ki       -62.17%

                                                  │   old.txt   │               new.txt               │
                                                  │  allocs/op  │ allocs/op   vs base                 │
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Counter-24             12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Counter-24           12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64UpDownCounter-24       12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64UpDownCounter-24     12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Histogram-24           13.00 ± 0%   13.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Histogram-24         13.00 ± 0%   13.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Gauge-24               12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Gauge-24             12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Counter-24           12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Counter-24         12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64UpDownCounter-24     12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64UpDownCounter-24   12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Histogram-24         13.000 ± 0%   9.000 ± 0%  -30.77% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Histogram-24       13.000 ± 0%   9.000 ± 0%  -30.77% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Gauge-24             12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Gauge-24           12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
geomean                                              12.24        9.553       -21.97%
¹ all samples are equal

Gemini helped me write this.

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codecov Bot commented Apr 15, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 83.7%. Comparing base (8365fb9) to head (dda4983).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

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@@          Coverage Diff          @@
##            main   #8211   +/-   ##
=====================================
  Coverage   83.7%   83.7%           
=====================================
  Files        314     314           
  Lines      29727   29730    +3     
=====================================
+ Hits       24905   24910    +5     
+ Misses      4448    4447    -1     
+ Partials     374     373    -1     
Files with missing lines Coverage Δ
sdk/metric/exemplar.go 100.0% <100.0%> (ø)
sdk/metric/internal/aggregate/aggregate.go 100.0% <100.0%> (ø)
sdk/metric/internal/aggregate/drop.go 100.0% <100.0%> (ø)

... and 3 files with indirect coverage changes

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@dashpole dashpole marked this pull request as ready for review April 15, 2026 15:55
@dashpole dashpole requested a review from Copilot April 15, 2026 18:40

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Pull request overview

This PR reduces metric SDK memory usage when exemplars are effectively disabled by configuring exemplar.AlwaysOffFilter, by avoiding construction of exemplar reservoirs and using a drop reservoir instead. This aligns behavior more closely with the spec guidance that AlwaysOff is “as good as disabling” exemplars.

Changes:

  • Export and use an internal DropReservoir implementation as the default exemplar reservoir factory.
  • Update reservoirFunc to return DropReservoir when exemplar.AlwaysOffFilter is provided (via function pointer comparison).
  • Add a targeted test and a new benchmark to quantify allocations for unique attribute sets with exemplars on/off.

Reviewed changes

Copilot reviewed 8 out of 8 changed files in this pull request and generated 4 comments.

Show a summary per file
File Description
sdk/metric/internal/aggregate/drop.go Export DropReservoir factory for a reservoir that drops all offers.
sdk/metric/internal/aggregate/drop_test.go Update test to call DropReservoir.
sdk/metric/internal/aggregate/aggregate.go Use DropReservoir as the default reservoir factory when none is provided.
sdk/metric/internal/aggregate/aggregate_test.go Update test helper to call DropReservoir.
sdk/metric/exemplar.go Return aggregate.DropReservoir when configured filter is exemplar.AlwaysOffFilter.
sdk/metric/exemplar_test.go Add test validating the AlwaysOff optimization path.
sdk/metric/benchmark_test.go Add benchmark that creates a new attribute set per call for multiple instrument types and filters.
CHANGELOG.md Add changelog entry for the optimization.

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Comment thread sdk/metric/exemplar.go
Comment thread sdk/metric/exemplar_test.go Outdated
Comment thread sdk/metric/internal/aggregate/aggregate.go

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Pull request overview

Copilot reviewed 8 out of 8 changed files in this pull request and generated 2 comments.

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Pull request overview

Copilot reviewed 10 out of 10 changed files in this pull request and generated 2 comments.

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Comment thread sdk/metric/benchmark_test.go

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Pull request overview

Copilot reviewed 10 out of 10 changed files in this pull request and generated no new comments.

MrAlias pushed a commit that referenced this pull request Apr 16, 2026
Found during copilot code reviews on other PRs.


#8211 (comment)
Comment thread sdk/metric/exemplar.go Outdated
Comment thread CHANGELOG.md Outdated
Comment thread sdk/metric/config.go Outdated
@dashpole dashpole requested a review from pellared April 21, 2026 13:12
Comment thread sdk/metric/internal/aggregate/drop.go
@dashpole dashpole merged commit 6f81801 into open-telemetry:main Apr 21, 2026
34 checks passed
@dashpole dashpole deleted the cheap_alwaysoff branch April 21, 2026 20:08
pellared pushed a commit to pellared/opentelemetry-go that referenced this pull request Apr 23, 2026
pellared pushed a commit to pellared/opentelemetry-go that referenced this pull request Apr 23, 2026
…n-telemetry#8211)

Fixes open-telemetry#6260,
open-telemetry#6333

The [spec for always
off](https://github.com/open-telemetry/opentelemetry-specification/blob/d500678e4612b56ff2cd5f03e67cd845977d1746/specification/metrics/sdk.md#alwaysoff)
suggests this should "disable" the Exemplar feature:

> An ExemplarFilter which makes no measurements eligible for being an
Exemplar.
Using this ExemplarFilter is as good as disabling the Exemplar feature.

There were a few reports of much higher memory usage when exemplars were
added. I looked into the reports, and it looks like exemplar reservoirs
are expensive in terms of memory compared to the aggregation itself.
Ideally, we shouldn't construct the reservoir when an AlwaysOff exemplar
filter is used.

I couldn't find a super clean way to do this...
`exemplar.AlwaysOffFilter` is a function, so I couldn't easily compare
it without comparing the pointers. I'm open to other suggestions. The
internet says that compiler optimizations could cause this logic to
fail, but worst-case you get the existing behavior.

### Benchmarks

I needed a benchmark that creates a new attribute set for each call to
be able to see how much memory each attribute set uses, so I added a new
one, and ran it against main.

Overall, it reduces the amount of memory used per-attribute-set by
70-88%, which is pretty substantial.

Overall, 

```
                                                  │   old.txt   │               new.txt               │
                                                  │   sec/op    │    sec/op     vs base               │
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Counter-24            3.523µ ± 2%   3.745µ ± 29%   +6.32% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Counter-24          3.714µ ± 6%   3.879µ ±  5%        ~ (p=0.132 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64UpDownCounter-24      3.811µ ± 8%   3.941µ ±  5%        ~ (p=0.065 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64UpDownCounter-24    3.714µ ± 5%   3.822µ ±  1%        ~ (p=0.132 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Histogram-24          3.126µ ± 4%   3.333µ ±  4%   +6.61% (p=0.004 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Histogram-24        3.099µ ± 4%   3.204µ ±  8%        ~ (p=0.093 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Gauge-24              3.745µ ± 7%   3.902µ ±  4%        ~ (p=0.240 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Gauge-24            3.746µ ± 7%   3.862µ ±  2%        ~ (p=0.102 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Counter-24           3.621µ ± 3%   1.665µ ±  1%  -54.00% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Counter-24         3.639µ ± 2%   1.686µ ±  4%  -53.68% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64UpDownCounter-24     3.563µ ± 4%   1.700µ ±  4%  -52.29% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64UpDownCounter-24   3.634µ ± 1%   1.690µ ±  4%  -53.49% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Histogram-24         2.892µ ± 2%   2.005µ ±  2%  -30.66% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Histogram-24       2.962µ ± 5%   2.057µ ±  6%  -30.55% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Gauge-24             3.692µ ± 5%   1.599µ ±  2%  -56.68% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Gauge-24           3.651µ ± 3%   1.612µ ±  2%  -55.86% (p=0.002 n=6)
geomean                                             3.495µ        2.541µ        -27.30%

                                                  │   old.txt    │               new.txt               │
                                                  │     B/op     │     B/op      vs base               │
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Counter-24            3.107Ki ± 0%   3.107Ki ± 0%        ~ (p=0.121 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Counter-24          3.108Ki ± 0%   3.107Ki ± 0%        ~ (p=0.177 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64UpDownCounter-24      3.108Ki ± 0%   3.108Ki ± 0%        ~ (p=0.675 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64UpDownCounter-24    3.107Ki ± 0%   3.107Ki ± 0%        ~ (p=1.000 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Histogram-24          2.622Ki ± 0%   2.622Ki ± 0%        ~ (p=0.394 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Histogram-24        2.622Ki ± 0%   2.622Ki ± 0%        ~ (p=0.636 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Gauge-24              3.108Ki ± 0%   3.107Ki ± 0%        ~ (p=0.167 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Gauge-24            3.107Ki ± 0%   3.108Ki ± 0%        ~ (p=0.182 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Counter-24            3182.0 ± 0%     361.0 ± 0%  -88.65% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Counter-24          3182.5 ± 0%     360.5 ± 0%  -88.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64UpDownCounter-24      3182.0 ± 0%     359.5 ± 1%  -88.70% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64UpDownCounter-24    3182.0 ± 0%     361.0 ± 0%  -88.65% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Histogram-24          2684.0 ± 0%     773.0 ± 0%  -71.20% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Histogram-24        2684.0 ± 0%     773.0 ± 0%  -71.20% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Gauge-24              3182.0 ± 0%     361.0 ± 1%  -88.65% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Gauge-24            3182.0 ± 0%     361.0 ± 0%  -88.65% (p=0.002 n=6)
geomean                                             2.978Ki        1.127Ki       -62.17%

                                                  │   old.txt   │               new.txt               │
                                                  │  allocs/op  │ allocs/op   vs base                 │
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Counter-24             12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Counter-24           12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64UpDownCounter-24       12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64UpDownCounter-24     12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Histogram-24           13.00 ± 0%   13.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Histogram-24         13.00 ± 0%   13.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Int64Gauge-24               12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOn/Float64Gauge-24             12.00 ± 0%   12.00 ± 0%        ~ (p=1.000 n=6) ¹
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Counter-24           12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Counter-24         12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64UpDownCounter-24     12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64UpDownCounter-24   12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Histogram-24         13.000 ± 0%   9.000 ± 0%  -30.77% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Histogram-24       13.000 ± 0%   9.000 ± 0%  -30.77% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Int64Gauge-24             12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
BenchmarkMeasureNewAttributeSet/AlwaysOff/Float64Gauge-24           12.000 ± 0%   7.000 ± 0%  -41.67% (p=0.002 n=6)
geomean                                              12.24        9.553       -21.97%
¹ all samples are equal
```

Gemini helped me write this.

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
dashpole added a commit that referenced this pull request May 1, 2026
Follow-up to
#8211.

Because the exemplar reservoir is an interface, it can't be in-lined
even when it is a no-op, so it has significant overhead. Skip it when a
drop reservoir is used. This seems to have an overhead of something like
~10ns, which shows up mostly on the precomputed benchmarks.

Benchmarks

```
goarch: amd64
pkg: go.opentelemetry.io/otel/sdk/metric
cpu: Intel(R) Xeon(R) CPU @ 2.20GHz
                                                                          │ benchmark_results_before.txt │     benchmark_results_after.txt     │
                                                                          │            sec/op            │    sec/op     vs base               │
EndToEndCounterAdd/NoFilter/Attributes/1/Precomputed/WithAttributeSet-24                    62.65n ± 15%   54.59n ± 12%  -12.88% (p=0.026 n=6)
EndToEndCounterAdd/NoFilter/Attributes/1/Precomputed/WithAttributes-24                      63.67n ± 10%   52.21n ±  6%  -17.99% (p=0.002 n=6)
EndToEndCounterAdd/NoFilter/Attributes/1/Dynamic/WithAttributeSet-24                        238.8n ± 14%   240.0n ± 10%        ~ (p=1.000 n=6)
EndToEndCounterAdd/NoFilter/Attributes/1/Dynamic/WithAttributes-24                          220.7n ± 14%   245.6n ± 13%        ~ (p=0.180 n=6)
EndToEndCounterAdd/NoFilter/Attributes/1/Naive/WithAttributes-24                            373.4n ± 26%   352.9n ± 11%        ~ (p=0.240 n=6)
EndToEndCounterAdd/NoFilter/Attributes/5/Precomputed/WithAttributeSet-24                    69.73n ± 16%   48.85n ± 14%  -29.94% (p=0.002 n=6)
EndToEndCounterAdd/NoFilter/Attributes/5/Precomputed/WithAttributes-24                      61.32n ±  3%   49.01n ±  5%  -20.08% (p=0.002 n=6)
EndToEndCounterAdd/NoFilter/Attributes/5/Dynamic/WithAttributeSet-24                        988.4n ± 48%   759.9n ± 55%  -23.12% (p=0.041 n=6)
EndToEndCounterAdd/NoFilter/Attributes/5/Dynamic/WithAttributes-24                          954.1n ± 90%   667.9n ± 19%  -30.00% (p=0.002 n=6)
EndToEndCounterAdd/NoFilter/Attributes/5/Naive/WithAttributes-24                            1.515µ ± 32%   1.233µ ± 12%        ~ (p=0.240 n=6)
EndToEndCounterAdd/NoFilter/Attributes/10/Precomputed/WithAttributeSet-24                   70.86n ± 11%   53.90n ± 16%  -23.94% (p=0.002 n=6)
EndToEndCounterAdd/NoFilter/Attributes/10/Precomputed/WithAttributes-24                     69.20n ± 21%   48.95n ± 12%  -29.27% (p=0.004 n=6)
EndToEndCounterAdd/NoFilter/Attributes/10/Dynamic/WithAttributeSet-24                       1.483µ ± 28%   1.283µ ± 29%        ~ (p=0.310 n=6)
EndToEndCounterAdd/NoFilter/Attributes/10/Dynamic/WithAttributes-24                         1.421µ ± 41%   1.664µ ± 49%        ~ (p=0.394 n=6)
EndToEndCounterAdd/NoFilter/Attributes/10/Naive/WithAttributes-24                           2.784µ ± 66%   2.109µ ± 19%  -24.23% (p=0.041 n=6)
geomean                                                                                     299.2n         252.1n        -15.75%

```

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
pellared pushed a commit that referenced this pull request May 22, 2026
…8286)

Fixes #8285

Asynchronous instruments do not accept context, so the default
TraceBased exemplar filter can never record an exemplar. Use the
DropReservoir when the TraceBased exemplar filter is used, similar to
#8211.


### Benchmarks

Since callbacks are made as part of collect, there is a significant
baseline overhead from collection included in the benchmark.

```
goos: linux
goarch: amd64
pkg: go.opentelemetry.io/otel/sdk/metric
cpu: AMD EPYC 7B12
                                          │   main.txt   │              new.txt               │
                                          │    sec/op    │   sec/op     vs base               │
AsyncMeasureNewAttributeSet/AlwaysOn-24     3.662µ ± 13%   3.735µ ± 8%        ~ (p=0.699 n=6)
AsyncMeasureNewAttributeSet/TraceBased-24   3.586µ ± 10%   1.195µ ± 5%  -66.69% (p=0.002 n=6)
geomean                                     3.623µ         2.112µ       -41.70%

                                          │   main.txt   │               new.txt               │
                                          │     B/op     │     B/op      vs base               │
AsyncMeasureNewAttributeSet/AlwaysOn-24     3.344Ki ± 0%   3.343Ki ± 0%        ~ (p=0.571 n=6)
AsyncMeasureNewAttributeSet/TraceBased-24    3424.5 ± 0%     592.0 ± 0%  -82.71% (p=0.002 n=6)
geomean                                     3.344Ki        1.390Ki       -58.43%

                                          │  main.txt  │               new.txt               │
                                          │ allocs/op  │ allocs/op   vs base                 │
AsyncMeasureNewAttributeSet/AlwaysOn-24     16.00 ± 0%   16.00 ± 0%        ~ (p=1.000 n=6) ¹
AsyncMeasureNewAttributeSet/TraceBased-24   16.00 ± 0%   12.00 ± 0%  -25.00% (p=0.002 n=6)
geomean                                     16.00        13.86       -13.40%
¹ all samples are equal
```
@pellared pellared mentioned this pull request May 26, 2026
pellared added a commit that referenced this pull request May 27, 2026
### Added

- Add `ByteSlice` and `ByteSliceValue` functions for new `BYTESLICE`
attribute type in `go.opentelemetry.io/otel/attribute`. (#7948)
- Apply attribute value limit to the `KindBytes` attribute type in
`go.opentelemetry.io/otel/sdk/log`. (#7990)
- Apply attribute value limit to the `BYTESLICE` attribute type in
`go.opentelemetry.io/otel/sdk/trace`. (#7990)
- Support `BYTESLICE` attributes in `go.opentelemetry.io/otel/trace`.
(#8153)
- Support `BYTESLICE` attributes in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace`. (#8153)
- Support `BYTESLICE` attributes in
`go.opentelemetry.io/otel/exporters/otlp/otlplog`. (#8153)
- Support `BYTESLICE` attributes in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric`. (#8153)
- Support `BYTESLICE` attributes in
`go.opentelemetry.io/otel/exporters/zipkin`. (#8153)
- Add `String` method for `Value` type in
`go.opentelemetry.io/otel/attribute`. (#8142)
- Add `Slice` and `SliceValue` functions for new `SLICE` attribute type
in `go.opentelemetry.io/otel/attribute`. (#8166)
- Support `SLICE` attributes in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace`. (#8216)
- Support `SLICE` attributes in
`go.opentelemetry.io/otel/exporters/otlp/otlplog`. (#8216)
- Support `SLICE` attributes in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric`. (#8216)
- Support `SLICE` attributes in
`go.opentelemetry.io/otel/exporters/zipkin`. (#8216)
- Apply `AttributeValueLengthLimit` to `attribute.SLICE` type attribute
values in `go.opentelemetry.io/otel/sdk/trace`, recursively truncating
contained string values. (#8217)
- Add `Error` field on `Record` type in
`go.opentelemetry.io/otel/log/logtest`. (#8148)
- Add `WithMaxRequestSize` option in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc`.
(#8157)
- Add `WithMaxRequestSize` option in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp`.
(#8157)
- Add `WithMaxRequestSize` option in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc`.
(#8157)
- Add `WithMaxRequestSize` option in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetrichttp`.
(#8157)
- Add `WithMaxRequestSize` option in
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploggrpc`. (#8157)
- Add `WithMaxRequestSize` option in
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp`. (#8157)
- Add `Settable` to `go.opentelemetry.io/otel/metric/x` to allow reusing
attribute options. (#8178)
- Add experimental support for splitting metric data across multiple
batches in `go.opentelemetry.io/otel/sdk/metric`.
Set `OTEL_GO_X_METRIC_EXPORT_BATCH_SIZE=<max_size>` to enable for all
periodic readers.
See `go.opentelemetry.io/otel/sdk/metric/internal/x` for feature
documentation. (#8071)
- Add experimental self-observability metrics in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc`.
  Enable with `OTEL_GO_X_SELF_OBSERVABILITY=true` environment variable.
See
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc/internal/x`
for feature documentation. (#8192)
- Add experimental self-observability metrics in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetrichttp`.
  Enable with `OTEL_GO_X_SELF_OBSERVABILITY=true` environment variable.
See
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetrichttp/internal/x`
for feature documentation. (#8194)
- Add experimental self-observability metrics in
`go.opentelemetry.io/otel/exporters/stdout/stdoutlog`.
  Enable with `OTEL_GO_X_SELF_OBSERVABILITY=true` environment variable.
See `go.opentelemetry.io/otel/stdout/stdoutlog/internal/x` for feature
documentation. (#8263)
- Add `WithDefaultAttributes` to `go.opentelemetry.io/otel/metric/x` to
support setting default attributes on instruments. (#8135)
- Add `go.opentelemetry.io/otel/semconv/v1.41.0` package.
The package contains semantic conventions from the `v1.41.0` version of
the OpenTelemetry Semantic Conventions.
See the [migration documentation](./semconv/v1.41.0/MIGRATION.md) for
information on how to upgrade from
`go.opentelemetry.io/otel/semconv/v1.40.0`. (#8324)
- Add Observable variants of instruments to
`go.opentelemetry.io/otel/semconv/v1.41.0` package. (#8350)
- Generate explicit histogram bucket boundaries from weaver
configuration for HTTP and RPC duration instruments in
`go.opentelemetry.io/otel/semconv/v1.41.0`. (#8002)

### Changed

- ⚠️ **Breaking Change:** `go.opentelemetry.io/otel/sdk/metric` now
applies a default cardinality limit of 2000 to comply with the Metrics
SDK specification recommendation.
New attribute sets are dropped when the cardinality limit is reached.
The measurement of these sets are aggregated into a special attribute
set containing `attribute.Bool("otel.metric.overflow", true)`.
  This can break users who relied on the previous unlimited default.
Set `WithCardinalityLimit(0)` or the deprecated
`OTEL_GO_X_CARDINALITY_LIMIT=0` environment variable to preserve
unlimited cardinality.
Note that support for `OTEL_GO_X_CARDINALITY_LIMIT` may be removed in a
future release. (#8247)
- `ErrorType` in `go.opentelemetry.io/otel/semconv` now unwraps errors
created with `fmt.Errorf` when deriving the `error.type` attribute.
(#8133)
- `go.opentelemetry.io/otel/sdk/log` now unwraps error chains created
with `fmt.Errorf` when deriving the `error.type` attribute from errors
on log records. (#8133)
- `Set.MarshalLog` method in `go.opentelemetry.io/otel/attribute` now
uses `Value.String` formatting following the [OpenTelemetry AnyValue
representation for non-OTLP
protocols](https://opentelemetry.io/docs/specs/otel/common/#anyvalue).
(#8169)
- Optimize `go.opentelemetry.io/otel/sdk/metric` to return a drop
reservoir and short-circuit `Offer` calls to the exemplar reservoir when
`exemplar.AlwaysOffFilter` is configured. (#8211) (#8267)
- Optimize `go.opentelemetry.io/otel/sdk/metric` to return a drop
reservoir for asynchronous instruments when `exemplar.TraceBasedFilter`
is configured. (#8286)

### Deprecated

- Deprecate `Value.Emit` method in `go.opentelemetry.io/otel/attribute`.
  Use `Value.String` instead. (#8176)

### Fixed

- Limit OTLP request size to 64 MiB by default in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc`.
The limit applies before compression, oversized requests are treated as
non-retryable errors, and the limit can be configured with the new
`WithMaxRequestSize` option. (#8157, #8365)
- Limit OTLP request size to 64 MiB by default in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp`.
The limit applies before compression, oversized requests are treated as
non-retryable errors, and the limit can be configured with the new
`WithMaxRequestSize` option. (#8157, #8365)
- Limit OTLP request size to 64 MiB by default in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetricgrpc`.
The limit applies before compression, oversized requests are treated as
non-retryable errors, and the limit can be configured with the new
`WithMaxRequestSize` option. (#8157, #8365)
- Limit OTLP request size to 64 MiB by default in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetrichttp`.
The limit applies before compression, oversized requests are treated as
non-retryable errors, and the limit can be configured with the new
`WithMaxRequestSize` option. (#8157, #8365)
- Limit OTLP request size to 64 MiB by default in
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploggrpc`.
The limit applies before compression, oversized requests are treated as
non-retryable errors, and the limit can be configured with the new
`WithMaxRequestSize` option. (#8157, #8365)
- Limit OTLP request size to 64 MiB by default in
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp`.
The limit applies before compression, oversized requests are treated as
non-retryable errors, and the limit can be configured with the new
`WithMaxRequestSize` option. (#8157, #8365)
- Fix gzipped request body replay on redirect in
`go.opentelemetry.io/otel/exporters/otlp/otlpmetric/otlpmetrichttp`.
(#8135)
- Fix gzipped request body replay on redirect in
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp`. (#8152)
- `go.opentelemetry.io/otel/exporters/prometheus` now uses
`Value.String` formatting for label values following the [OpenTelemetry
AnyValue representation for non-OTLP
protocols](https://opentelemetry.io/docs/specs/otel/common/#anyvalue).
(#8170)
- Propagate errors from the exporter when calling `Shutdown` on
`BatchSpanProcessor` in `go.opentelemetry.io/otel/sdk/trace`. (#8197)
- Fix stale status code reporting on self-observability metrics in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp` and
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp`. (#8226)
- Fix a concurrent `Collect` data race and potential panic in
`go.opentelemetry.io/otel/exporters/prometheus` when
`WithResourceAsConstantLabels` option is used. (#8227)
- Fix race condition in `FixedSizeReservoir` in
`go.opentelemetry.io/otel/sdk/metric/exemplar` by reverting #7447.
(#8249)
- Fix `FixedSizeReservoir` in
`go.opentelemetry.io/otel/sdk/metric/exemplar` to safely handle zero
size.
A capacity check in the constructor initializes the reservoir safely and
skips initialization for zero-cap; early returns in `Offer()` and
`Collect()` ensure no-op behavior. (#8295)
- Fix counting of spans and logs in self-observability metrics in
`go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc`,
`go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp`,
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploggrpc`, and
`go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp`. (#8254)
- Drop conflicting scope attributes named `name`, `version`, or
`schema_url` from metric labels in
`go.opentelemetry.io/otel/exporters/prometheus`, preserving the
dedicated `otel_scope_name`, `otel_scope_version`, and
`otel_scope_schema_url` labels. (#8264)
- Close schema files opened by `ParseFile` in
`go.opentelemetry.io/otel/schema/v1.0` and
`go.opentelemetry.io/otel/schema/v1.1`.
([GHSA-995v-fvrw-c78m](GHSA-995v-fvrw-c78m))
- Enforce the 8192-byte baggage size limit during extraction/parsing,
changing behavior when the limit is exceeded in
`go.opentelemetry.io/otel/baggage` and
`go.opentelemetry.io/otel/propagation`. (#8222)
- Fix `go.opentelemetry.io/otel/semconv/v1.41.0` to include `Attr*`
helper methods for required attributes on observable instruments.
(#8361)
- Limit baggage extraction error reporting in
`go.opentelemetry.io/otel/propagation` to prevent malformed or oversized
baggage headers from flooding logs.
([GHSA-5wrp-cwcj-q835](GHSA-5wrp-cwcj-q835))
@pellared pellared added this to the v1.44.0 milestone May 27, 2026
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Synchronous metrics memory usage

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