Allow histogram for all instruments

CHANGELOG.md

@@ -31,6 +31,7 @@ This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.htm
   The `AttributeKeys` fields allows users to specify an allow-list of attributes allowed to be recorded for a view.
   This change is made to ensure compatibility with the OpenTelemetry specification. (#4288)
 - If an attribute set is omitted from an async callback, the previous value will no longer be exported. (#4290)
+- Allow the explicit bucket histogram aggregation to be used for the up-down counter, observable counter, observable up-down counter, and observable gauge in the `go.opentelemetry.io/otel/sdk/metric` package. (#4332)
 
 ### Fixed
 

sdk/metric/internal/aggregate/aggregate.go

@@ -109,13 +109,13 @@ func (b Builder[N]) Sum(monotonic bool) (Measure[N], ComputeAggregation) {
 
 // ExplicitBucketHistogram returns a histogram aggregate function input and
 // output.
-func (b Builder[N]) ExplicitBucketHistogram(cfg aggregation.ExplicitBucketHistogram) (Measure[N], ComputeAggregation) {
+func (b Builder[N]) ExplicitBucketHistogram(cfg aggregation.ExplicitBucketHistogram, noSum bool) (Measure[N], ComputeAggregation) {
 	var h aggregator[N]
 	switch b.Temporality {
 	case metricdata.DeltaTemporality:
-		h = newDeltaHistogram[N](cfg)
+		h = newDeltaHistogram[N](cfg, noSum)
 	default:
-		h = newCumulativeHistogram[N](cfg)
+		h = newCumulativeHistogram[N](cfg, noSum)
 	}
 	return b.input(h), func(dest *metricdata.Aggregation) int {
 		// TODO (#4220): optimize memory reuse here.

sdk/metric/internal/aggregate/histogram.go

@@ -27,7 +27,7 @@ import (
 type buckets[N int64 | float64] struct {
 	counts   []uint64
 	count    uint64
-	sum      N
+	total    N
 	min, max N
 }
 
@@ -36,10 +36,11 @@ func newBuckets[N int64 | float64](n int) *buckets[N] {
 	return &buckets[N]{counts: make([]uint64, n)}
 }
 
+func (b *buckets[N]) sum(value N) { b.total += value }
+
 func (b *buckets[N]) bin(idx int, value N) {
 	b.counts[idx]++
 	b.count++
-	b.sum += value
 	if value < b.min {
 		b.min = value
 	} else if value > b.max {
@@ -50,13 +51,14 @@ func (b *buckets[N]) bin(idx int, value N) {
 // histValues summarizes a set of measurements as an histValues with
 // explicitly defined buckets.
 type histValues[N int64 | float64] struct {
+	noSum  bool
 	bounds []float64
 
 	values   map[attribute.Set]*buckets[N]
 	valuesMu sync.Mutex
 }
 
-func newHistValues[N int64 | float64](bounds []float64) *histValues[N] {
+func newHistValues[N int64 | float64](bounds []float64, noSum bool) *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
@@ -65,6 +67,7 @@ func newHistValues[N int64 | float64](bounds []float64) *histValues[N] {
 	copy(b, bounds)
 	sort.Float64s(b)
 	return &histValues[N]{
+		noSum:  noSum,
 		bounds: b,
 		values: make(map[attribute.Set]*buckets[N]),
 	}
@@ -98,6 +101,9 @@ func (s *histValues[N]) Aggregate(value N, attr attribute.Set) {
 		s.values[attr] = b
 	}
 	b.bin(idx, value)
+	if !s.noSum {
+		b.sum(value)
+	}
 }
 
 // newDeltaHistogram returns an Aggregator that summarizes a set of
@@ -107,9 +113,9 @@ func (s *histValues[N]) Aggregate(value N, attr attribute.Set) {
 // Each aggregation cycle is treated independently. When the returned
 // Aggregator's Aggregations method is called it will reset all histogram
 // counts to zero.
-func newDeltaHistogram[N int64 | float64](cfg aggregation.ExplicitBucketHistogram) aggregator[N] {
+func newDeltaHistogram[N int64 | float64](cfg aggregation.ExplicitBucketHistogram, noSum bool) aggregator[N] {
 	return &deltaHistogram[N]{
-		histValues: newHistValues[N](cfg.Boundaries),
+		histValues: newHistValues[N](cfg.Boundaries, noSum),
 		noMinMax:   cfg.NoMinMax,
 		start:      now(),
 	}
@@ -148,7 +154,9 @@ func (s *deltaHistogram[N]) Aggregation() metricdata.Aggregation {
 			Count:        b.count,
 			Bounds:       bounds,
 			BucketCounts: b.counts,
-			Sum:          b.sum,
+		}
+		if !s.noSum {
+			hdp.Sum = b.total
 		}
 		if !s.noMinMax {
 			hdp.Min = metricdata.NewExtrema(b.min)
@@ -170,9 +178,9 @@ func (s *deltaHistogram[N]) Aggregation() metricdata.Aggregation {
 // Each aggregation cycle builds from the previous, the histogram counts are
 // the bucketed counts of all values aggregated since the returned Aggregator
 // was created.
-func newCumulativeHistogram[N int64 | float64](cfg aggregation.ExplicitBucketHistogram) aggregator[N] {
+func newCumulativeHistogram[N int64 | float64](cfg aggregation.ExplicitBucketHistogram, noSum bool) aggregator[N] {
 	return &cumulativeHistogram[N]{
-		histValues: newHistValues[N](cfg.Boundaries),
+		histValues: newHistValues[N](cfg.Boundaries, noSum),
 		noMinMax:   cfg.NoMinMax,
 		start:      now(),
 	}
@@ -219,7 +227,9 @@ func (s *cumulativeHistogram[N]) Aggregation() metricdata.Aggregation {
 			Count:        b.count,
 			Bounds:       bounds,
 			BucketCounts: counts,
-			Sum:          b.sum,
+		}
+		if !s.noSum {
+			hdp.Sum = b.total
 		}
 		if !s.noMinMax {
 			hdp.Min = metricdata.NewExtrema(b.min)

sdk/metric/internal/aggregate/histogram_test.go

@@ -49,10 +49,25 @@ func testHistogram[N int64 | float64](t *testing.T) {
 	}
 
 	incr := monoIncr[N]()
-	eFunc := deltaHistExpecter[N](incr)
-	t.Run("Delta", tester.Run(newDeltaHistogram[N](histConf), incr, eFunc))
+	eFunc := deltaHistSummedExpecter[N](incr)
+	t.Run("Delta/Summed", tester.Run(newDeltaHistogram[N](histConf, false), incr, eFunc))
+	eFunc = deltaHistExpecter[N](incr)
+	t.Run("Delta/NoSum", tester.Run(newDeltaHistogram[N](histConf, true), incr, eFunc))
+	eFunc = cumuHistSummedExpecter[N](incr)
+	t.Run("Cumulative/Summed", tester.Run(newCumulativeHistogram[N](histConf, false), incr, eFunc))
 	eFunc = cumuHistExpecter[N](incr)
-	t.Run("Cumulative", tester.Run(newCumulativeHistogram[N](histConf), incr, eFunc))
+	t.Run("Cumulative/NoSum", tester.Run(newCumulativeHistogram[N](histConf, true), incr, eFunc))
+}
+
+func deltaHistSummedExpecter[N int64 | float64](incr setMap[N]) expectFunc {
+	h := metricdata.Histogram[N]{Temporality: metricdata.DeltaTemporality}
+	return func(m int) metricdata.Aggregation {
+		h.DataPoints = make([]metricdata.HistogramDataPoint[N], 0, len(incr))
+		for a, v := range incr {
+			h.DataPoints = append(h.DataPoints, hPointSummed[N](a, v, uint64(m)))
+		}
+		return h
+	}
 }
 
 func deltaHistExpecter[N int64 | float64](incr setMap[N]) expectFunc {
@@ -66,6 +81,19 @@ func deltaHistExpecter[N int64 | float64](incr setMap[N]) expectFunc {
 	}
 }
 
+func cumuHistSummedExpecter[N int64 | float64](incr setMap[N]) expectFunc {
+	var cycle int
+	h := metricdata.Histogram[N]{Temporality: metricdata.CumulativeTemporality}
+	return func(m int) metricdata.Aggregation {
+		cycle++
+		h.DataPoints = make([]metricdata.HistogramDataPoint[N], 0, len(incr))
+		for a, v := range incr {
+			h.DataPoints = append(h.DataPoints, hPointSummed[N](a, v, uint64(cycle*m)))
+		}
+		return h
+	}
+}
+
 func cumuHistExpecter[N int64 | float64](incr setMap[N]) expectFunc {
 	var cycle int
 	h := metricdata.Histogram[N]{Temporality: metricdata.CumulativeTemporality}
@@ -79,6 +107,25 @@ func cumuHistExpecter[N int64 | float64](incr setMap[N]) expectFunc {
 	}
 }
 
+// hPointSummed returns an HistogramDataPoint that started and ended now with
+// multi number of measurements values v. It includes a min and max (set to v).
+func hPointSummed[N int64 | float64](a attribute.Set, v N, multi uint64) metricdata.HistogramDataPoint[N] {
+	idx := sort.SearchFloat64s(bounds, float64(v))
+	counts := make([]uint64, len(bounds)+1)
+	counts[idx] += multi
+	return metricdata.HistogramDataPoint[N]{
+		Attributes:   a,
+		StartTime:    now(),
+		Time:         now(),
+		Count:        multi,
+		Bounds:       bounds,
+		BucketCounts: counts,
+		Min:          metricdata.NewExtrema(v),
+		Max:          metricdata.NewExtrema(v),
+		Sum:          v * N(multi),
+	}
+}
+
 // hPoint returns an HistogramDataPoint that started and ended now with multi
 // number of measurements values v. It includes a min and max (set to v).
 func hPoint[N int64 | float64](a attribute.Set, v N, multi uint64) metricdata.HistogramDataPoint[N] {
@@ -94,7 +141,6 @@ func hPoint[N int64 | float64](a attribute.Set, v N, multi uint64) metricdata.Hi
 		BucketCounts: counts,
 		Min:          metricdata.NewExtrema(v),
 		Max:          metricdata.NewExtrema(v),
-		Sum:          v * N(multi),
 	}
 }
 
@@ -106,28 +152,50 @@ func TestBucketsBin(t *testing.T) {
 func testBucketsBin[N int64 | float64]() func(t *testing.T) {
 	return func(t *testing.T) {
 		b := newBuckets[N](3)
-		assertB := func(counts []uint64, count uint64, sum, min, max N) {
+		assertB := func(counts []uint64, count uint64, min, max N) {
+			t.Helper()
 			assert.Equal(t, counts, b.counts)
 			assert.Equal(t, count, b.count)
-			assert.Equal(t, sum, b.sum)
 			assert.Equal(t, min, b.min)
 			assert.Equal(t, max, b.max)
 		}
 
-		assertB([]uint64{0, 0, 0}, 0, 0, 0, 0)
+		assertB([]uint64{0, 0, 0}, 0, 0, 0)
 		b.bin(1, 2)
-		assertB([]uint64{0, 1, 0}, 1, 2, 0, 2)
+		assertB([]uint64{0, 1, 0}, 1, 0, 2)
 		b.bin(0, -1)
-		assertB([]uint64{1, 1, 0}, 2, 1, -1, 2)
+		assertB([]uint64{1, 1, 0}, 2, -1, 2)
+	}
+}
+
+func TestBucketsSum(t *testing.T) {
+	t.Run("Int64", testBucketsSum[int64]())
+	t.Run("Float64", testBucketsSum[float64]())
+}
+
+func testBucketsSum[N int64 | float64]() func(t *testing.T) {
+	return func(t *testing.T) {
+		b := newBuckets[N](3)
+
+		var want N
+		assert.Equal(t, want, b.total)
+
+		b.sum(2)
+		want = 2
+		assert.Equal(t, want, b.total)
+
+		b.sum(-1)
+		want = 1
+		assert.Equal(t, want, b.total)
 	}
 }
 
-func testHistImmutableBounds[N int64 | float64](newA func(aggregation.ExplicitBucketHistogram) aggregator[N], getBounds func(aggregator[N]) []float64) func(t *testing.T) {
+func testHistImmutableBounds[N int64 | float64](newA func(aggregation.ExplicitBucketHistogram, bool) aggregator[N], getBounds func(aggregator[N]) []float64) func(t *testing.T) {
 	b := []float64{0, 1, 2}
 	cpB := make([]float64, len(b))
 	copy(cpB, b)
 
-	a := newA(aggregation.ExplicitBucketHistogram{Boundaries: b})
+	a := newA(aggregation.ExplicitBucketHistogram{Boundaries: b}, false)
 	return func(t *testing.T) {
 		require.Equal(t, cpB, getBounds(a))
 
@@ -160,7 +228,7 @@ func TestHistogramImmutableBounds(t *testing.T) {
 }
 
 func TestCumulativeHistogramImutableCounts(t *testing.T) {
-	a := newCumulativeHistogram[int64](histConf)
+	a := newCumulativeHistogram[int64](histConf, false)
 	a.Aggregate(5, alice)
 	hdp := a.Aggregation().(metricdata.Histogram[int64]).DataPoints[0]
 
@@ -176,12 +244,12 @@ func TestCumulativeHistogramImutableCounts(t *testing.T) {
 func TestDeltaHistogramReset(t *testing.T) {
 	t.Cleanup(mockTime(now))
 
-	a := newDeltaHistogram[int64](histConf)
+	a := newDeltaHistogram[int64](histConf, false)
 	assert.Nil(t, a.Aggregation())
 
 	a.Aggregate(1, alice)
 	expect := metricdata.Histogram[int64]{Temporality: metricdata.DeltaTemporality}
-	expect.DataPoints = []metricdata.HistogramDataPoint[int64]{hPoint[int64](alice, 1, 1)}
+	expect.DataPoints = []metricdata.HistogramDataPoint[int64]{hPointSummed[int64](alice, 1, 1)}
 	metricdatatest.AssertAggregationsEqual(t, expect, a.Aggregation())
 
 	// The attr set should be forgotten once Aggregations is called.
@@ -190,15 +258,15 @@ func TestDeltaHistogramReset(t *testing.T) {
 
 	// Aggregating another set should not affect the original (alice).
 	a.Aggregate(1, bob)
-	expect.DataPoints = []metricdata.HistogramDataPoint[int64]{hPoint[int64](bob, 1, 1)}
+	expect.DataPoints = []metricdata.HistogramDataPoint[int64]{hPointSummed[int64](bob, 1, 1)}
 	metricdatatest.AssertAggregationsEqual(t, expect, a.Aggregation())
 }
 
 func TestEmptyHistogramNilAggregation(t *testing.T) {
-	assert.Nil(t, newCumulativeHistogram[int64](histConf).Aggregation())
-	assert.Nil(t, newCumulativeHistogram[float64](histConf).Aggregation())
-	assert.Nil(t, newDeltaHistogram[int64](histConf).Aggregation())
-	assert.Nil(t, newDeltaHistogram[float64](histConf).Aggregation())
+	assert.Nil(t, newCumulativeHistogram[int64](histConf, false).Aggregation())
+	assert.Nil(t, newCumulativeHistogram[float64](histConf, false).Aggregation())
+	assert.Nil(t, newDeltaHistogram[int64](histConf, false).Aggregation())
+	assert.Nil(t, newDeltaHistogram[float64](histConf, false).Aggregation())
 }
 
 func BenchmarkHistogram(b *testing.B) {
@@ -207,8 +275,8 @@ func BenchmarkHistogram(b *testing.B) {
 }
 
 func benchmarkHistogram[N int64 | float64](b *testing.B) {
-	factory := func() aggregator[N] { return newDeltaHistogram[N](histConf) }
+	factory := func() aggregator[N] { return newDeltaHistogram[N](histConf, false) }
 	b.Run("Delta", benchmarkAggregator(factory))
-	factory = func() aggregator[N] { return newCumulativeHistogram[N](histConf) }
+	factory = func() aggregator[N] { return newCumulativeHistogram[N](histConf, false) }
 	b.Run("Cumulative", benchmarkAggregator(factory))
 }

sdk/metric/pipeline.go

@@ -412,7 +412,15 @@
 			meas, comp = b.Sum(false)
 		}
 	case aggregation.ExplicitBucketHistogram:
-		meas, comp = b.ExplicitBucketHistogram(a)
+		var noSum bool
+		switch kind {
+		case InstrumentKindUpDownCounter, InstrumentKindObservableUpDownCounter, InstrumentKindObservableGauge:
+			// The sum should not be collected for any instrument that can make
+			// negative measurements:
+			// https://github.com/open-telemetry/opentelemetry-specification/blob/v1.21.0/specification/metrics/sdk.md#histogram-aggregations
+			noSum = true
+		}
+		meas, comp = b.ExplicitBucketHistogram(a, noSum)
 	default:
 		err = errUnknownAggregation
 	}
@@ -426,22 +434,27 @@
 // | Instrument Kind          | Drop | LastValue | Sum | Histogram | Exponential Histogram |
 // |--------------------------|------|-----------|-----|-----------|-----------------------|
 // | Counter                  | ✓    |           | ✓   | ✓         | ✓                     |
-// | UpDownCounter            | ✓    |           | ✓   |           |                       |
+// | UpDownCounter            | ✓    |           | ✓   | ✓         |                       |
 // | Histogram                | ✓    |           | ✓   | ✓         | ✓                     |
-// | Observable Counter       | ✓    |           | ✓   |           |                       |
-// | Observable UpDownCounter | ✓    |           | ✓   |           |                       |
-// | Observable Gauge         | ✓    | ✓         |     |           |                       |.
+// | Observable Counter       | ✓    |           | ✓   | ✓         |                       |
+// | Observable UpDownCounter | ✓    |           | ✓   | ✓         |                       |
+// | Observable Gauge         | ✓    | ✓         |     | ✓         |                       |.
 func isAggregatorCompatible(kind InstrumentKind, agg aggregation.Aggregation) error {
 	switch agg.(type) {
 	case aggregation.Default:
 		return nil
 	case aggregation.ExplicitBucketHistogram:
-		if kind == InstrumentKindCounter || kind == InstrumentKindHistogram {
+		switch kind {
+		case InstrumentKindCounter,
+			InstrumentKindUpDownCounter,
+			InstrumentKindHistogram,
+			InstrumentKindObservableCounter,
+			InstrumentKindObservableUpDownCounter,
+			InstrumentKindObservableGauge:
 			return nil
+		default:
+			return errIncompatibleAggregation
 		}
-		// TODO: review need for aggregation check after
-		// https://github.com/open-telemetry/opentelemetry-specification/issues/2710
-		return errIncompatibleAggregation
 	case aggregation.Sum:
 		switch kind {
 		case InstrumentKindObservableCounter, InstrumentKindObservableUpDownCounter, InstrumentKindCounter, InstrumentKindHistogram, InstrumentKindUpDownCounter: