diff --git a/sdk/metric/exemplar.go b/sdk/metric/exemplar.go index 36a0790e2c8..0335b8ae48e 100644 --- a/sdk/metric/exemplar.go +++ b/sdk/metric/exemplar.go @@ -6,7 +6,9 @@ package metric // import "go.opentelemetry.io/otel/sdk/metric" import ( "runtime" + "go.opentelemetry.io/otel/attribute" "go.opentelemetry.io/otel/sdk/metric/exemplar" + "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" ) // ExemplarReservoirProviderSelector selects the @@ -14,6 +16,14 @@ import ( // based on the [Aggregation] of the metric. type ExemplarReservoirProviderSelector func(Aggregation) exemplar.ReservoirProvider +// reservoirFunc returns the appropriately configured exemplar reservoir +// creation func based on the passed InstrumentKind and filter configuration. +func reservoirFunc[N int64 | float64](provider exemplar.ReservoirProvider, filter exemplar.Filter) func(attribute.Set) aggregate.FilteredExemplarReservoir[N] { + return func(attrs attribute.Set) aggregate.FilteredExemplarReservoir[N] { + return aggregate.NewFilteredExemplarReservoir[N](filter, provider(attrs)) + } +} + // DefaultExemplarReservoirProviderSelector returns the default // [exemplar.ReservoirProvider] for the // provided [Aggregation]. diff --git a/sdk/metric/instrument_test.go b/sdk/metric/instrument_test.go index a3e625087ca..3a8c2d26c3a 100644 --- a/sdk/metric/instrument_test.go +++ b/sdk/metric/instrument_test.go @@ -8,7 +8,6 @@ import ( "testing" "go.opentelemetry.io/otel/attribute" - "go.opentelemetry.io/otel/sdk/metric/exemplar" "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" "go.opentelemetry.io/otel/sdk/metric/metricdata" ) @@ -23,7 +22,7 @@ func BenchmarkInstrument(b *testing.B) { } b.Run("instrumentImpl/aggregate", func(b *testing.B) { - build := aggregate.Builder[int64]{ExemplarFilter: exemplar.AlwaysOffFilter, ExemplarReservoirProvider: exemplar.FixedSizeReservoirProvider(0)} + build := aggregate.Builder[int64]{} var meas []aggregate.Measure[int64] build.Temporality = metricdata.CumulativeTemporality @@ -53,7 +52,7 @@ func BenchmarkInstrument(b *testing.B) { }) b.Run("observable/observe", func(b *testing.B) { - build := aggregate.Builder[int64]{ExemplarFilter: exemplar.AlwaysOffFilter, ExemplarReservoirProvider: exemplar.FixedSizeReservoirProvider(0)} + build := aggregate.Builder[int64]{} var meas []aggregate.Measure[int64] in, _ := build.PrecomputedLastValue() diff --git a/sdk/metric/internal/aggregate/aggregate.go b/sdk/metric/internal/aggregate/aggregate.go index afe7dfa3aa7..fde21933389 100644 --- a/sdk/metric/internal/aggregate/aggregate.go +++ b/sdk/metric/internal/aggregate/aggregate.go @@ -8,7 +8,6 @@ import ( "time" "go.opentelemetry.io/otel/attribute" - "go.opentelemetry.io/otel/sdk/metric/exemplar" "go.opentelemetry.io/otel/sdk/metric/metricdata" ) @@ -34,12 +33,12 @@ type Builder[N int64 | float64] struct { // Filter is the attribute filter the aggregate function will use on the // input of measurements. Filter attribute.Filter - // ExemplarFilter is the filter applied to measurements before offering - // them to the exemplar Reservoir. - ExemplarFilter exemplar.Filter - // ExemplarReservoirProvider is the factory function used to create a new - // exemplar Reservoir for a given attribute set. - ExemplarReservoirProvider exemplar.ReservoirProvider + // ReservoirFunc is the factory function used by aggregate functions to + // create new exemplar reservoirs for a new seen attribute set. + // + // If this is not provided a default factory function that returns an + // dropReservoir reservoir will be used. + ReservoirFunc func(attribute.Set) FilteredExemplarReservoir[N] // AggregationLimit is the cardinality limit of measurement attributes. Any // measurement for new attributes once the limit has been reached will be // aggregated into a single aggregate for the "otel.metric.overflow" @@ -50,10 +49,12 @@ type Builder[N int64 | float64] struct { AggregationLimit int } -func (b Builder[N]) resFunc() func(attribute.Set) *filteredExemplarReservoir[N] { - return func(attrs attribute.Set) *filteredExemplarReservoir[N] { - return newFilteredExemplarReservoir[N](b.ExemplarFilter, b.ExemplarReservoirProvider(attrs)) +func (b Builder[N]) resFunc() func(attribute.Set) FilteredExemplarReservoir[N] { + if b.ReservoirFunc != nil { + return b.ReservoirFunc } + + return dropReservoir } type fltrMeasure[N int64 | float64] func(ctx context.Context, value N, fltrAttr attribute.Set, droppedAttr []attribute.KeyValue) diff --git a/sdk/metric/internal/aggregate/aggregate_test.go b/sdk/metric/internal/aggregate/aggregate_test.go index 135994065d0..b0034010861 100644 --- a/sdk/metric/internal/aggregate/aggregate_test.go +++ b/sdk/metric/internal/aggregate/aggregate_test.go @@ -13,7 +13,6 @@ import ( "github.com/stretchr/testify/assert" "go.opentelemetry.io/otel/attribute" - "go.opentelemetry.io/otel/sdk/metric/exemplar" "go.opentelemetry.io/otel/sdk/metric/metricdata" "go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest" ) @@ -73,12 +72,8 @@ func (c *clock) Register() (unregister func()) { return func() { now = orig } } -func newNoopReservoir(attribute.Set) exemplar.Reservoir { - return exemplar.NewFixedSizeReservoir(0) -} - -func dropExemplars[N int64 | float64](attr attribute.Set) *filteredExemplarReservoir[N] { - return newFilteredExemplarReservoir[N](exemplar.AlwaysOffFilter, newNoopReservoir(attr)) +func dropExemplars[N int64 | float64](attr attribute.Set) FilteredExemplarReservoir[N] { + return dropReservoir[N](attr) } func TestBuilderFilter(t *testing.T) { @@ -104,8 +99,8 @@ func testBuilderFilter[N int64 | float64]() func(t *testing.T) { } } - t.Run("NoFilter", run(Builder[N]{ExemplarFilter: exemplar.AlwaysOffFilter, ExemplarReservoirProvider: newNoopReservoir}, attr, nil)) - t.Run("Filter", run(Builder[N]{ExemplarFilter: exemplar.AlwaysOffFilter, ExemplarReservoirProvider: newNoopReservoir, Filter: attrFltr}, fltrAlice, []attribute.KeyValue{adminTrue})) + t.Run("NoFilter", run(Builder[N]{}, attr, nil)) + t.Run("Filter", run(Builder[N]{Filter: attrFltr}, fltrAlice, []attribute.KeyValue{adminTrue})) } } diff --git a/sdk/metric/internal/aggregate/drop.go b/sdk/metric/internal/aggregate/drop.go new file mode 100644 index 00000000000..76d52839b60 --- /dev/null +++ b/sdk/metric/internal/aggregate/drop.go @@ -0,0 +1,26 @@ +// Copyright The OpenTelemetry Authors +// SPDX-License-Identifier: Apache-2.0 + +package aggregate // import "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" + +import ( + "context" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/metric/exemplar" +) + +// dropReservoir returns a [FilteredReservoir] that drops all measurements it is offered. +func dropReservoir[N int64 | float64](attribute.Set) FilteredExemplarReservoir[N] { + return &dropRes[N]{} +} + +type dropRes[N int64 | float64] struct{} + +// Offer does nothing, all measurements offered will be dropped. +func (r *dropRes[N]) Offer(context.Context, N, []attribute.KeyValue) {} + +// Collect resets dest. No exemplars will ever be returned. +func (r *dropRes[N]) Collect(dest *[]exemplar.Exemplar) { + *dest = (*dest)[:0] +} diff --git a/sdk/metric/internal/aggregate/drop_test.go b/sdk/metric/internal/aggregate/drop_test.go new file mode 100644 index 00000000000..38781e4c6ad --- /dev/null +++ b/sdk/metric/internal/aggregate/drop_test.go @@ -0,0 +1,27 @@ +// Copyright The OpenTelemetry Authors +// SPDX-License-Identifier: Apache-2.0 + +package aggregate + +import ( + "testing" + + "github.com/stretchr/testify/assert" + + "go.opentelemetry.io/otel/attribute" + "go.opentelemetry.io/otel/sdk/metric/exemplar" +) + +func TestDrop(t *testing.T) { + t.Run("Int64", testDropFiltered[int64]) + t.Run("Float64", testDropFiltered[float64]) +} + +func testDropFiltered[N int64 | float64](t *testing.T) { + r := dropReservoir[N](*attribute.EmptySet()) + + var dest []exemplar.Exemplar + r.Collect(&dest) + + assert.Empty(t, dest, "non-sampled context should not be offered") +} diff --git a/sdk/metric/internal/aggregate/exponential_histogram.go b/sdk/metric/internal/aggregate/exponential_histogram.go index ee4bf50cf29..b7aa721651e 100644 --- a/sdk/metric/internal/aggregate/exponential_histogram.go +++ b/sdk/metric/internal/aggregate/exponential_histogram.go @@ -30,7 +30,7 @@ const ( // expoHistogramDataPoint is a single data point in an exponential histogram. type expoHistogramDataPoint[N int64 | float64] struct { attrs attribute.Set - res *filteredExemplarReservoir[N] + res FilteredExemplarReservoir[N] count uint64 min N @@ -283,7 +283,7 @@ func (b *expoBuckets) downscale(delta int32) { // newExponentialHistogram returns an Aggregator that summarizes a set of // measurements as an exponential histogram. Each histogram is scoped by attributes // and the aggregation cycle the measurements were made in. -func newExponentialHistogram[N int64 | float64](maxSize, maxScale int32, noMinMax, noSum bool, limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *expoHistogram[N] { +func newExponentialHistogram[N int64 | float64](maxSize, maxScale int32, noMinMax, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *expoHistogram[N] { return &expoHistogram[N]{ noSum: noSum, noMinMax: noMinMax, @@ -306,7 +306,7 @@ type expoHistogram[N int64 | float64] struct { maxSize int maxScale int32 - newRes func(attribute.Set) *filteredExemplarReservoir[N] + newRes func(attribute.Set) FilteredExemplarReservoir[N] limit limiter[*expoHistogramDataPoint[N]] values map[attribute.Distinct]*expoHistogramDataPoint[N] valuesMu sync.Mutex diff --git a/sdk/metric/internal/aggregate/exponential_histogram_test.go b/sdk/metric/internal/aggregate/exponential_histogram_test.go index 5a8f17bdbc1..9ede71ac88c 100644 --- a/sdk/metric/internal/aggregate/exponential_histogram_test.go +++ b/sdk/metric/internal/aggregate/exponential_histogram_test.go @@ -13,7 +13,6 @@ import ( "github.com/stretchr/testify/require" "go.opentelemetry.io/otel/internal/global" - "go.opentelemetry.io/otel/sdk/metric/exemplar" "go.opentelemetry.io/otel/sdk/metric/metricdata" ) @@ -683,30 +682,22 @@ func BenchmarkExponentialHistogram(b *testing.B) { b.Run("Int64/Cumulative", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum) })) b.Run("Int64/Delta", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum) })) b.Run("Float64/Cumulative", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum) })) b.Run("Float64/Delta", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum) })) } @@ -753,11 +744,9 @@ func TestExponentialHistogramAggregation(t *testing.T) { func testDeltaExpoHist[N int64 | float64]() func(t *testing.T) { in, out := Builder[N]{ - Temporality: metricdata.DeltaTemporality, - Filter: attrFltr, - AggregationLimit: 2, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, + Filter: attrFltr, + AggregationLimit: 2, }.ExponentialBucketHistogram(4, 20, false, false) ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -882,11 +871,9 @@ func testDeltaExpoHist[N int64 | float64]() func(t *testing.T) { func testCumulativeExpoHist[N int64 | float64]() func(t *testing.T) { in, out := Builder[N]{ - Temporality: metricdata.CumulativeTemporality, - Filter: attrFltr, - AggregationLimit: 2, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, + Filter: attrFltr, + AggregationLimit: 2, }.ExponentialBucketHistogram(4, 20, false, false) ctx := context.Background() return test[N](in, out, []teststep[N]{ diff --git a/sdk/metric/internal/aggregate/filtered_reservoir.go b/sdk/metric/internal/aggregate/filtered_reservoir.go index a600eb1e413..691a910608d 100644 --- a/sdk/metric/internal/aggregate/filtered_reservoir.go +++ b/sdk/metric/internal/aggregate/filtered_reservoir.go @@ -11,16 +11,29 @@ import ( "go.opentelemetry.io/otel/sdk/metric/exemplar" ) +// FilteredExemplarReservoir wraps a [exemplar.Reservoir] with a filter. +type FilteredExemplarReservoir[N int64 | float64] interface { + // Offer accepts the parameters associated with a measurement. The + // parameters will be stored as an exemplar if the filter decides to + // sample the measurement. + // + // The passed ctx needs to contain any baggage or span that were active + // when the measurement was made. This information may be used by the + // Reservoir in making a sampling decision. + Offer(ctx context.Context, val N, attr []attribute.KeyValue) + // Collect returns all the held exemplars in the reservoir. + Collect(dest *[]exemplar.Exemplar) +} + // filteredExemplarReservoir handles the pre-sampled exemplar of measurements made. type filteredExemplarReservoir[N int64 | float64] struct { filter exemplar.Filter reservoir exemplar.Reservoir } -// newFilteredExemplarReservoir creates a [FilteredExemplarReservoir] which -// only offers values that are allowed by the filter. If the provided filter is -// nil, all measurements are dropped.. -func newFilteredExemplarReservoir[N int64 | float64](f exemplar.Filter, r exemplar.Reservoir) *filteredExemplarReservoir[N] { +// NewFilteredExemplarReservoir creates a [FilteredExemplarReservoir] which only offers values +// that are allowed by the filter. +func NewFilteredExemplarReservoir[N int64 | float64](f exemplar.Filter, r exemplar.Reservoir) FilteredExemplarReservoir[N] { return &filteredExemplarReservoir[N]{ filter: f, reservoir: r, diff --git a/sdk/metric/internal/aggregate/histogram.go b/sdk/metric/internal/aggregate/histogram.go index f0ce537fdfb..d577ae2c198 100644 --- a/sdk/metric/internal/aggregate/histogram.go +++ b/sdk/metric/internal/aggregate/histogram.go @@ -16,7 +16,7 @@ import ( type buckets[N int64 | float64] struct { attrs attribute.Set - res *filteredExemplarReservoir[N] + res FilteredExemplarReservoir[N] counts []uint64 count uint64 @@ -47,13 +47,13 @@ type histValues[N int64 | float64] struct { noSum bool bounds []float64 - newRes func(attribute.Set) *filteredExemplarReservoir[N] + newRes func(attribute.Set) FilteredExemplarReservoir[N] limit limiter[*buckets[N]] values map[attribute.Distinct]*buckets[N] valuesMu sync.Mutex } -func newHistValues[N int64 | float64](bounds []float64, noSum bool, limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *histValues[N] { +func newHistValues[N int64 | float64](bounds []float64, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *histValues[N] { // The responsibility of keeping all buckets correctly associated with the // passed boundaries is ultimately this type's responsibility. Make a copy // here so we can always guarantee this. Or, in the case of failure, have @@ -108,7 +108,7 @@ func (s *histValues[N]) measure(ctx context.Context, value N, fltrAttr attribute // newHistogram returns an Aggregator that summarizes a set of measurements as // an histogram. -func newHistogram[N int64 | float64](boundaries []float64, noMinMax, noSum bool, limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *histogram[N] { +func newHistogram[N int64 | float64](boundaries []float64, noMinMax, noSum bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *histogram[N] { return &histogram[N]{ histValues: newHistValues[N](boundaries, noSum, limit, r), noMinMax: noMinMax, diff --git a/sdk/metric/internal/aggregate/histogram_test.go b/sdk/metric/internal/aggregate/histogram_test.go index 158c1b005dc..4484a33fa45 100644 --- a/sdk/metric/internal/aggregate/histogram_test.go +++ b/sdk/metric/internal/aggregate/histogram_test.go @@ -13,7 +13,6 @@ import ( "github.com/stretchr/testify/require" "go.opentelemetry.io/otel/attribute" - "go.opentelemetry.io/otel/sdk/metric/exemplar" "go.opentelemetry.io/otel/sdk/metric/metricdata" "go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest" ) @@ -52,11 +51,9 @@ type conf[N int64 | float64] struct { func testDeltaHist[N int64 | float64](c conf[N]) func(t *testing.T) { in, out := Builder[N]{ - Temporality: metricdata.DeltaTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.ExplicitBucketHistogram(bounds, noMinMax, c.noSum) ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -141,11 +138,9 @@ func testDeltaHist[N int64 | float64](c conf[N]) func(t *testing.T) { func testCumulativeHist[N int64 | float64](c conf[N]) func(t *testing.T) { in, out := Builder[N]{ - Temporality: metricdata.CumulativeTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.ExplicitBucketHistogram(bounds, noMinMax, c.noSum) ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -380,30 +375,22 @@ func TestDeltaHistogramReset(t *testing.T) { func BenchmarkHistogram(b *testing.B) { b.Run("Int64/Cumulative", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.ExplicitBucketHistogram(bounds, noMinMax, false) })) b.Run("Int64/Delta", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.ExplicitBucketHistogram(bounds, noMinMax, false) })) b.Run("Float64/Cumulative", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.ExplicitBucketHistogram(bounds, noMinMax, false) })) b.Run("Float64/Delta", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.ExplicitBucketHistogram(bounds, noMinMax, false) })) } diff --git a/sdk/metric/internal/aggregate/lastvalue.go b/sdk/metric/internal/aggregate/lastvalue.go index 9a3656f96c2..d3a93f085c9 100644 --- a/sdk/metric/internal/aggregate/lastvalue.go +++ b/sdk/metric/internal/aggregate/lastvalue.go @@ -16,10 +16,10 @@ import ( type datapoint[N int64 | float64] struct { attrs attribute.Set value N - res *filteredExemplarReservoir[N] + res FilteredExemplarReservoir[N] } -func newLastValue[N int64 | float64](limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *lastValue[N] { +func newLastValue[N int64 | float64](limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *lastValue[N] { return &lastValue[N]{ newRes: r, limit: newLimiter[datapoint[N]](limit), @@ -32,7 +32,7 @@ func newLastValue[N int64 | float64](limit int, r func(attribute.Set) *filteredE type lastValue[N int64 | float64] struct { sync.Mutex - newRes func(attribute.Set) *filteredExemplarReservoir[N] + newRes func(attribute.Set) FilteredExemplarReservoir[N] limit limiter[datapoint[N]] values map[attribute.Distinct]datapoint[N] start time.Time @@ -114,7 +114,7 @@ func (s *lastValue[N]) copyDpts(dest *[]metricdata.DataPoint[N], t time.Time) in // newPrecomputedLastValue returns an aggregator that summarizes a set of // observations as the last one made. -func newPrecomputedLastValue[N int64 | float64](limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *precomputedLastValue[N] { +func newPrecomputedLastValue[N int64 | float64](limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *precomputedLastValue[N] { return &precomputedLastValue[N]{lastValue: newLastValue[N](limit, r)} } diff --git a/sdk/metric/internal/aggregate/lastvalue_test.go b/sdk/metric/internal/aggregate/lastvalue_test.go index 7bba4666f0e..77e0d283ba0 100644 --- a/sdk/metric/internal/aggregate/lastvalue_test.go +++ b/sdk/metric/internal/aggregate/lastvalue_test.go @@ -7,7 +7,6 @@ import ( "context" "testing" - "go.opentelemetry.io/otel/sdk/metric/exemplar" "go.opentelemetry.io/otel/sdk/metric/metricdata" ) @@ -37,11 +36,9 @@ func TestLastValue(t *testing.T) { func testDeltaLastValue[N int64 | float64]() func(*testing.T) { in, out := Builder[N]{ - Temporality: metricdata.DeltaTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.LastValue() ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -143,11 +140,9 @@ func testDeltaLastValue[N int64 | float64]() func(*testing.T) { func testCumulativeLastValue[N int64 | float64]() func(*testing.T) { in, out := Builder[N]{ - Temporality: metricdata.CumulativeTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.LastValue() ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -267,11 +262,9 @@ func testCumulativeLastValue[N int64 | float64]() func(*testing.T) { func testDeltaPrecomputedLastValue[N int64 | float64]() func(*testing.T) { in, out := Builder[N]{ - Temporality: metricdata.DeltaTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.PrecomputedLastValue() ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -373,11 +366,9 @@ func testDeltaPrecomputedLastValue[N int64 | float64]() func(*testing.T) { func testCumulativePrecomputedLastValue[N int64 | float64]() func(*testing.T) { in, out := Builder[N]{ - Temporality: metricdata.CumulativeTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.PrecomputedLastValue() ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -478,12 +469,6 @@ func testCumulativePrecomputedLastValue[N int64 | float64]() func(*testing.T) { } func BenchmarkLastValue(b *testing.B) { - b.Run("Int64", benchmarkAggregate(Builder[int64]{ - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, - }.PrecomputedLastValue)) - b.Run("Float64", benchmarkAggregate(Builder[float64]{ - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, - }.PrecomputedLastValue)) + b.Run("Int64", benchmarkAggregate(Builder[int64]{}.PrecomputedLastValue)) + b.Run("Float64", benchmarkAggregate(Builder[float64]{}.PrecomputedLastValue)) } diff --git a/sdk/metric/internal/aggregate/sum.go b/sdk/metric/internal/aggregate/sum.go index 462942a6387..8e132ad6181 100644 --- a/sdk/metric/internal/aggregate/sum.go +++ b/sdk/metric/internal/aggregate/sum.go @@ -14,19 +14,19 @@ import ( type sumValue[N int64 | float64] struct { n N - res *filteredExemplarReservoir[N] + res FilteredExemplarReservoir[N] attrs attribute.Set } // valueMap is the storage for sums. type valueMap[N int64 | float64] struct { sync.Mutex - newRes func(attribute.Set) *filteredExemplarReservoir[N] + newRes func(attribute.Set) FilteredExemplarReservoir[N] limit limiter[sumValue[N]] values map[attribute.Distinct]sumValue[N] } -func newValueMap[N int64 | float64](limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *valueMap[N] { +func newValueMap[N int64 | float64](limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *valueMap[N] { return &valueMap[N]{ newRes: r, limit: newLimiter[sumValue[N]](limit), @@ -54,7 +54,7 @@ func (s *valueMap[N]) measure(ctx context.Context, value N, fltrAttr attribute.S // newSum returns an aggregator that summarizes a set of measurements as their // arithmetic sum. Each sum is scoped by attributes and the aggregation cycle // the measurements were made in. -func newSum[N int64 | float64](monotonic bool, limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *sum[N] { +func newSum[N int64 | float64](monotonic bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *sum[N] { return &sum[N]{ valueMap: newValueMap[N](limit, r), monotonic: monotonic, @@ -143,7 +143,7 @@ func (s *sum[N]) cumulative(dest *metricdata.Aggregation) int { // newPrecomputedSum returns an aggregator that summarizes a set of // observations as their arithmetic sum. Each sum is scoped by attributes and // the aggregation cycle the measurements were made in. -func newPrecomputedSum[N int64 | float64](monotonic bool, limit int, r func(attribute.Set) *filteredExemplarReservoir[N]) *precomputedSum[N] { +func newPrecomputedSum[N int64 | float64](monotonic bool, limit int, r func(attribute.Set) FilteredExemplarReservoir[N]) *precomputedSum[N] { return &precomputedSum[N]{ valueMap: newValueMap[N](limit, r), monotonic: monotonic, diff --git a/sdk/metric/internal/aggregate/sum_test.go b/sdk/metric/internal/aggregate/sum_test.go index fcfd5c539ce..bb825e18375 100644 --- a/sdk/metric/internal/aggregate/sum_test.go +++ b/sdk/metric/internal/aggregate/sum_test.go @@ -7,7 +7,6 @@ import ( "context" "testing" - "go.opentelemetry.io/otel/sdk/metric/exemplar" "go.opentelemetry.io/otel/sdk/metric/metricdata" ) @@ -42,11 +41,9 @@ func TestSum(t *testing.T) { func testDeltaSum[N int64 | float64]() func(t *testing.T) { mono := false in, out := Builder[N]{ - Temporality: metricdata.DeltaTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.Sum(mono) ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -172,11 +169,9 @@ func testDeltaSum[N int64 | float64]() func(t *testing.T) { func testCumulativeSum[N int64 | float64]() func(t *testing.T) { mono := false in, out := Builder[N]{ - Temporality: metricdata.CumulativeTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.Sum(mono) ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -288,11 +283,9 @@ func testCumulativeSum[N int64 | float64]() func(t *testing.T) { func testDeltaPrecomputedSum[N int64 | float64]() func(t *testing.T) { mono := false in, out := Builder[N]{ - Temporality: metricdata.DeltaTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.PrecomputedSum(mono) ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -419,11 +412,9 @@ func testDeltaPrecomputedSum[N int64 | float64]() func(t *testing.T) { func testCumulativePrecomputedSum[N int64 | float64]() func(t *testing.T) { mono := false in, out := Builder[N]{ - Temporality: metricdata.CumulativeTemporality, - Filter: attrFltr, - AggregationLimit: 3, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, + Filter: attrFltr, + AggregationLimit: 3, }.PrecomputedSum(mono) ctx := context.Background() return test[N](in, out, []teststep[N]{ @@ -553,59 +544,43 @@ func BenchmarkSum(b *testing.B) { // performance, therefore, only monotonic=false is benchmarked here. b.Run("Int64/Cumulative", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.Sum(false) })) b.Run("Int64/Delta", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.Sum(false) })) b.Run("Float64/Cumulative", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.Sum(false) })) b.Run("Float64/Delta", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.Sum(false) })) b.Run("Precomputed/Int64/Cumulative", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.PrecomputedSum(false) })) b.Run("Precomputed/Int64/Delta", benchmarkAggregate(func() (Measure[int64], ComputeAggregation) { return Builder[int64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.PrecomputedSum(false) })) b.Run("Precomputed/Float64/Cumulative", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.CumulativeTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.CumulativeTemporality, }.PrecomputedSum(false) })) b.Run("Precomputed/Float64/Delta", benchmarkAggregate(func() (Measure[float64], ComputeAggregation) { return Builder[float64]{ - Temporality: metricdata.DeltaTemporality, - ExemplarFilter: exemplar.AlwaysOffFilter, - ExemplarReservoirProvider: newNoopReservoir, + Temporality: metricdata.DeltaTemporality, }.PrecomputedSum(false) })) } diff --git a/sdk/metric/pipeline.go b/sdk/metric/pipeline.go index e32a3cbec61..7e85bd2dc98 100644 --- a/sdk/metric/pipeline.go +++ b/sdk/metric/pipeline.go @@ -360,9 +360,8 @@ func (i *inserter[N]) cachedAggregator(scope instrumentation.Scope, kind Instrum normID := id.normalize() cv := i.aggregators.Lookup(normID, func() aggVal[N] { b := aggregate.Builder[N]{ - Temporality: i.pipeline.reader.temporality(kind), - ExemplarReservoirProvider: stream.ExemplarReservoirProviderSelector(stream.Aggregation), - ExemplarFilter: i.pipeline.exemplarFilter, + Temporality: i.pipeline.reader.temporality(kind), + ReservoirFunc: reservoirFunc[N](stream.ExemplarReservoirProviderSelector(stream.Aggregation), i.pipeline.exemplarFilter), } b.Filter = stream.AttributeFilter // A value less than or equal to zero will disable the aggregation