mirror of
https://github.com/open-telemetry/opentelemetry-go.git
synced 2025-01-26 03:52:03 +02:00
0485de287e
Part of addressing https://github.com/open-telemetry/opentelemetry-go/issues/5542. ### Motivation This removes the `time.Now()` call from filtered-out Exemplars by only invoking `time.Now()` after the filtering decision is made. This improvement is especially noticeable for measurements without any attributes. ``` goos: linux goarch: amd64 pkg: go.opentelemetry.io/otel/sdk/metric cpu: AMD EPYC 7B12 │ old.txt │ new.txt │ │ sec/op │ sec/op vs base │ SyncMeasure/NoView/Int64Counter/Attributes/0-24 158.20n ± 4% 99.83n ± 1% -36.90% (p=0.000 n=10) SyncMeasure/NoView/Int64Counter/Attributes/1-24 333.3n ± 4% 274.8n ± 1% -17.55% (p=0.000 n=10) SyncMeasure/NoView/Int64Counter/Attributes/10-24 1.640µ ± 1% 1.600µ ± 1% -2.41% (p=0.000 n=10) SyncMeasure/NoView/Float64Counter/Attributes/0-24 159.0n ± 3% 101.3n ± 0% -36.27% (p=0.000 n=10) SyncMeasure/NoView/Float64Counter/Attributes/1-24 340.0n ± 2% 272.0n ± 1% -20.00% (p=0.000 n=10) SyncMeasure/NoView/Float64Counter/Attributes/10-24 1.661µ ± 1% 1.597µ ± 0% -3.85% (p=0.000 n=10) SyncMeasure/NoView/Int64UpDownCounter/Attributes/0-24 159.8n ± 1% 103.1n ± 0% -35.50% (p=0.000 n=10) SyncMeasure/NoView/Int64UpDownCounter/Attributes/1-24 339.5n ± 1% 273.1n ± 0% -19.57% (p=0.000 n=10) SyncMeasure/NoView/Int64UpDownCounter/Attributes/10-24 1.656µ ± 0% 1.589µ ± 0% -4.05% (p=0.000 n=10) SyncMeasure/NoView/Float64UpDownCounter/Attributes/0-24 159.3n ± 2% 100.8n ± 0% -36.74% (p=0.000 n=10) SyncMeasure/NoView/Float64UpDownCounter/Attributes/1-24 337.9n ± 2% 271.8n ± 1% -19.55% (p=0.000 n=10) SyncMeasure/NoView/Float64UpDownCounter/Attributes/10-24 1.657µ ± 0% 1.593µ ± 1% -3.83% (p=0.000 n=10) SyncMeasure/NoView/Int64Histogram/Attributes/0-24 144.65n ± 4% 89.38n ± 0% -38.21% (p=0.000 n=10) SyncMeasure/NoView/Int64Histogram/Attributes/1-24 235.7n ± 2% 183.5n ± 0% -22.15% (p=0.000 n=10) SyncMeasure/NoView/Int64Histogram/Attributes/10-24 900.8n ± 1% 836.8n ± 0% -7.10% (p=0.000 n=10) SyncMeasure/NoView/Float64Histogram/Attributes/0-24 145.60n ± 5% 93.48n ± 1% -35.80% (p=0.000 n=10) SyncMeasure/NoView/Float64Histogram/Attributes/1-24 240.9n ± 1% 183.0n ± 0% -24.06% (p=0.000 n=10) SyncMeasure/NoView/Float64Histogram/Attributes/10-24 905.6n ± 1% 826.3n ± 0% -8.76% (p=0.000 n=10) SyncMeasure/DropView/Int64Counter/Attributes/0-24 20.33n ± 0% 20.35n ± 0% ~ (p=0.302 n=10) SyncMeasure/DropView/Int64Counter/Attributes/1-24 26.46n ± 0% 26.45n ± 1% ~ (p=0.868 n=10) SyncMeasure/DropView/Int64Counter/Attributes/10-24 26.50n ± 0% 26.47n ± 0% ~ (p=0.208 n=10) SyncMeasure/DropView/Float64Counter/Attributes/0-24 20.34n ± 1% 20.27n ± 0% -0.34% (p=0.009 n=10) SyncMeasure/DropView/Float64Counter/Attributes/1-24 26.55n ± 0% 26.60n ± 1% ~ (p=0.109 n=10) SyncMeasure/DropView/Float64Counter/Attributes/10-24 26.59n ± 1% 26.57n ± 1% ~ (p=0.926 n=10) SyncMeasure/DropView/Int64UpDownCounter/Attributes/0-24 20.38n ± 1% 20.38n ± 0% ~ (p=0.725 n=10) SyncMeasure/DropView/Int64UpDownCounter/Attributes/1-24 26.39n ± 0% 26.44n ± 0% ~ (p=0.238 n=10) SyncMeasure/DropView/Int64UpDownCounter/Attributes/10-24 26.52n ± 0% 26.42n ± 0% -0.36% (p=0.049 n=10) SyncMeasure/DropView/Float64UpDownCounter/Attributes/0-24 20.30n ± 0% 20.25n ± 0% ~ (p=0.196 n=10) SyncMeasure/DropView/Float64UpDownCounter/Attributes/1-24 26.57n ± 0% 26.54n ± 1% ~ (p=0.540 n=10) SyncMeasure/DropView/Float64UpDownCounter/Attributes/10-24 26.57n ± 0% 26.51n ± 1% ~ (p=0.643 n=10) SyncMeasure/DropView/Int64Histogram/Attributes/0-24 20.37n ± 0% 20.36n ± 1% ~ (p=1.000 n=10) SyncMeasure/DropView/Int64Histogram/Attributes/1-24 26.41n ± 0% 26.50n ± 0% +0.32% (p=0.007 n=10) SyncMeasure/DropView/Int64Histogram/Attributes/10-24 26.44n ± 0% 26.55n ± 1% +0.42% (p=0.012 n=10) SyncMeasure/DropView/Float64Histogram/Attributes/0-24 20.30n ± 0% 20.45n ± 0% +0.74% (p=0.000 n=10) SyncMeasure/DropView/Float64Histogram/Attributes/1-24 26.52n ± 0% 26.48n ± 0% ~ (p=0.127 n=10) SyncMeasure/DropView/Float64Histogram/Attributes/10-24 26.55n ± 0% 26.48n ± 0% -0.26% (p=0.002 n=10) SyncMeasure/AttrFilterView/Int64Counter/Attributes/0-24 170.5n ± 2% 110.8n ± 0% -35.03% (p=0.000 n=10) SyncMeasure/AttrFilterView/Int64Counter/Attributes/1-24 402.5n ± 1% 331.5n ± 1% -17.64% (p=0.000 n=10) SyncMeasure/AttrFilterView/Int64Counter/Attributes/10-24 1.363µ ± 1% 1.281µ ± 1% -6.02% (p=0.000 n=10) SyncMeasure/AttrFilterView/Float64Counter/Attributes/0-24 170.6n ± 1% 111.5n ± 1% -34.64% (p=0.000 n=10) SyncMeasure/AttrFilterView/Float64Counter/Attributes/1-24 397.1n ± 1% 335.9n ± 0% -15.41% (p=0.000 n=10) SyncMeasure/AttrFilterView/Float64Counter/Attributes/10-24 1.371µ ± 1% 1.279µ ± 1% -6.71% (p=0.000 n=10) SyncMeasure/AttrFilterView/Int64UpDownCounter/Attributes/0-24 170.1n ± 1% 112.2n ± 0% -34.09% (p=0.000 n=10) SyncMeasure/AttrFilterView/Int64UpDownCounter/Attributes/1-24 397.5n ± 1% 330.2n ± 0% -16.93% (p=0.000 n=10) SyncMeasure/AttrFilterView/Int64UpDownCounter/Attributes/10-24 1.371µ ± 1% 1.289µ ± 1% -5.95% (p=0.000 n=10) SyncMeasure/AttrFilterView/Float64UpDownCounter/Attributes/0-24 171.4n ± 2% 112.9n ± 0% -34.13% (p=0.000 n=10) SyncMeasure/AttrFilterView/Float64UpDownCounter/Attributes/1-24 397.0n ± 3% 336.4n ± 0% -15.24% (p=0.000 n=10) SyncMeasure/AttrFilterView/Float64UpDownCounter/Attributes/10-24 1.383µ ± 1% 1.305µ ± 1% -5.61% (p=0.000 n=10) SyncMeasure/AttrFilterView/Int64Histogram/Attributes/0-24 157.30n ± 2% 98.58n ± 1% -37.33% (p=0.000 n=6+10) ``` ### Changes * Introduce `exemplar.Filter`, which is a filter function based on the context. It will not be user-facing, so we can always add other parameters later if needed. * Introduce `exemplar.FilteredReservoir`, which is similar to a reservoir, except it does not receive a timestamp. It gets the current time after the filter decision has been made. It uses generics to avoid the call to exemplar.NewValue(), since it is internal-only. * The `exemplar.Reservoir` is left as-is, so that it can be made public when exemplars are stable. It still includes a timestamp argument. * Unit tests are updated to expect a much lower number of calls to time.Now * `exemplar.Drop` is now an `exemplar.FilteredReservoir` instead of a `Reservoir`, since we don't need a Reservoir to store things in if the measurement is always dropped. Co-authored-by: Sam Xie <sam@samxie.me> Co-authored-by: Tyler Yahn <MrAlias@users.noreply.github.com>
163 lines
4.2 KiB
Go
163 lines
4.2 KiB
Go
// Copyright The OpenTelemetry Authors
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// SPDX-License-Identifier: Apache-2.0
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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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"sync"
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"time"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/sdk/metric/internal/exemplar"
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"go.opentelemetry.io/otel/sdk/metric/metricdata"
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)
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// datapoint is timestamped measurement data.
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type datapoint[N int64 | float64] struct {
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attrs attribute.Set
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value N
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res exemplar.FilteredReservoir[N]
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}
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func newLastValue[N int64 | float64](limit int, r func() exemplar.FilteredReservoir[N]) *lastValue[N] {
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return &lastValue[N]{
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newRes: r,
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limit: newLimiter[datapoint[N]](limit),
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values: make(map[attribute.Distinct]datapoint[N]),
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start: now(),
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}
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}
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// lastValue summarizes a set of measurements as the last one made.
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type lastValue[N int64 | float64] struct {
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sync.Mutex
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newRes func() exemplar.FilteredReservoir[N]
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limit limiter[datapoint[N]]
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values map[attribute.Distinct]datapoint[N]
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start time.Time
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}
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func (s *lastValue[N]) measure(ctx context.Context, value N, fltrAttr attribute.Set, droppedAttr []attribute.KeyValue) {
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s.Lock()
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defer s.Unlock()
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attr := s.limit.Attributes(fltrAttr, s.values)
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d, ok := s.values[attr.Equivalent()]
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if !ok {
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d.res = s.newRes()
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}
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d.attrs = attr
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d.value = value
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d.res.Offer(ctx, value, droppedAttr)
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s.values[attr.Equivalent()] = d
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}
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func (s *lastValue[N]) delta(dest *metricdata.Aggregation) int {
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t := now()
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// Ignore if dest is not a metricdata.Gauge. The chance for memory reuse of
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// the DataPoints is missed (better luck next time).
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gData, _ := (*dest).(metricdata.Gauge[N])
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s.Lock()
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defer s.Unlock()
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n := s.copyDpts(&gData.DataPoints, t)
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// Do not report stale values.
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clear(s.values)
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// Update start time for delta temporality.
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s.start = t
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*dest = gData
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return n
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}
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func (s *lastValue[N]) cumulative(dest *metricdata.Aggregation) int {
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t := now()
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// Ignore if dest is not a metricdata.Gauge. The chance for memory reuse of
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// the DataPoints is missed (better luck next time).
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gData, _ := (*dest).(metricdata.Gauge[N])
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s.Lock()
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defer s.Unlock()
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n := s.copyDpts(&gData.DataPoints, t)
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// TODO (#3006): This will use an unbounded amount of memory if there
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// are unbounded number of attribute sets being aggregated. Attribute
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// sets that become "stale" need to be forgotten so this will not
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// overload the system.
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*dest = gData
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return n
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}
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// copyDpts copies the datapoints held by s into dest. The number of datapoints
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// copied is returned.
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func (s *lastValue[N]) copyDpts(dest *[]metricdata.DataPoint[N], t time.Time) int {
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n := len(s.values)
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*dest = reset(*dest, n, n)
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var i int
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for _, v := range s.values {
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(*dest)[i].Attributes = v.attrs
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(*dest)[i].StartTime = s.start
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(*dest)[i].Time = t
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(*dest)[i].Value = v.value
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collectExemplars(&(*dest)[i].Exemplars, v.res.Collect)
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i++
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}
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return n
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}
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// newPrecomputedLastValue returns an aggregator that summarizes a set of
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// observations as the last one made.
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func newPrecomputedLastValue[N int64 | float64](limit int, r func() exemplar.FilteredReservoir[N]) *precomputedLastValue[N] {
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return &precomputedLastValue[N]{lastValue: newLastValue[N](limit, r)}
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}
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// precomputedLastValue summarizes a set of observations as the last one made.
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type precomputedLastValue[N int64 | float64] struct {
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*lastValue[N]
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}
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func (s *precomputedLastValue[N]) delta(dest *metricdata.Aggregation) int {
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t := now()
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// Ignore if dest is not a metricdata.Gauge. The chance for memory reuse of
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// the DataPoints is missed (better luck next time).
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gData, _ := (*dest).(metricdata.Gauge[N])
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s.Lock()
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defer s.Unlock()
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n := s.copyDpts(&gData.DataPoints, t)
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// Do not report stale values.
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clear(s.values)
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// Update start time for delta temporality.
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s.start = t
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*dest = gData
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return n
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}
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func (s *precomputedLastValue[N]) cumulative(dest *metricdata.Aggregation) int {
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t := now()
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// Ignore if dest is not a metricdata.Gauge. The chance for memory reuse of
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// the DataPoints is missed (better luck next time).
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gData, _ := (*dest).(metricdata.Gauge[N])
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s.Lock()
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defer s.Unlock()
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n := s.copyDpts(&gData.DataPoints, t)
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// Do not report stale values.
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clear(s.values)
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*dest = gData
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return n
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}
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