Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Change the inclusivity of exponential histogram bounds #2982

Merged
merged 12 commits into from
Aug 24, 2022
6 changes: 6 additions & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,12 @@ This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.htm
- Support Go 1.19.
Include compatibility testing and document support. (#3077)

### Changed

- The exponential histogram mapping functions have been updated with
exact upper-inclusive boundary support following the [corresponding
specification change](https://github.com/open-telemetry/opentelemetry-specification/pull/2633). (#2982)

## [1.9.0/0.0.3] - 2022-08-01

### Added
Expand Down
69 changes: 69 additions & 0 deletions sdk/metric/aggregator/exponential/benchmark_test.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,69 @@
// Copyright The OpenTelemetry Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package exponential

import (
"fmt"
"math/rand"
"testing"

"go.opentelemetry.io/otel/sdk/metric/aggregator/exponential/mapping"
"go.opentelemetry.io/otel/sdk/metric/aggregator/exponential/mapping/exponent"
"go.opentelemetry.io/otel/sdk/metric/aggregator/exponential/mapping/logarithm"
)

func benchmarkMapping(b *testing.B, name string, mapper mapping.Mapping) {
b.Run(fmt.Sprintf("mapping_%s", name), func(b *testing.B) {
src := rand.New(rand.NewSource(54979))

jmacd marked this conversation as resolved.
Show resolved Hide resolved
for i := 0; i < b.N; i++ {
_ = mapper.MapToIndex(1 + src.Float64())
}
})
}

func benchmarkBoundary(b *testing.B, name string, mapper mapping.Mapping) {
b.Run(fmt.Sprintf("boundary_%s", name), func(b *testing.B) {
src := rand.New(rand.NewSource(54979))

jmacd marked this conversation as resolved.
Show resolved Hide resolved
for i := 0; i < b.N; i++ {
_, _ = mapper.LowerBoundary(int32(src.Int63()))
}
})
}

// An earlier draft of this benchmark included a lookup-table based
// implementation:
// https://github.com/open-telemetry/opentelemetry-go-contrib/pull/1353
// That mapping function uses O(2^scale) extra space and falls
// somewhere between the exponent and logarithm methods compared here.
// In the test, lookuptable was 40% faster than logarithm, which did
// not justify the significant extra complexity.

// Benchmarks the MapToIndex function.
func BenchmarkMapping(b *testing.B) {
em, _ := exponent.NewMapping(-1)
lm, _ := logarithm.NewMapping(1)
benchmarkMapping(b, "exponent", em)
benchmarkMapping(b, "logarithm", lm)
}

// Benchmarks the LowerBoundary function.
func BenchmarkReverseMapping(b *testing.B) {
em, _ := exponent.NewMapping(-1)
lm, _ := logarithm.NewMapping(1)
benchmarkBoundary(b, "exponent", em)
benchmarkBoundary(b, "logarithm", lm)
}
69 changes: 39 additions & 30 deletions sdk/metric/aggregator/exponential/mapping/exponent/exponent.go
Original file line number Diff line number Diff line change
Expand Up @@ -63,52 +63,61 @@ func NewMapping(scale int32) (mapping.Mapping, error) {
return &prebuiltMappings[scale-MinScale], nil
}

// minNormalLowerBoundaryIndex is the largest index such that
// base**index is <= MinValue. A histogram bucket with this index
// covers the range (base**index, base**(index+1)], including
// MinValue.
func (e *exponentMapping) minNormalLowerBoundaryIndex() int32 {
idx := int32(MinNormalExponent) >> e.shift
if e.shift < 2 {
// For scales -1 and 0 the minimum value 2**-1022
// is a power-of-two multiple, meaning it belongs
// to the index one less.
idx--
}
return idx
}

// maxNormalLowerBoundaryIndex is the index such that base**index
// equals the largest representable boundary. A histogram bucket with this
// index covers the range (0x1p+1024/base, 0x1p+1024], which includes
// MaxValue; note that this bucket is incomplete, since the upper
// boundary cannot be represented. One greater than this index
// corresponds with the bucket containing values > 0x1p1024.
func (e *exponentMapping) maxNormalLowerBoundaryIndex() int32 {
return int32(MaxNormalExponent) >> e.shift
}

// MapToIndex implements mapping.Mapping.
func (e *exponentMapping) MapToIndex(value float64) int32 {
// Note: we can assume not a 0, Inf, or NaN; positive sign bit.
if value < MinValue {
return e.minNormalLowerBoundaryIndex()
}

// Note: bit-shifting does the right thing for negative
// exponents, e.g., -1 >> 1 == -1.
return getBase2(value) >> e.shift
}
// Extract the raw exponent.
rawExp := getNormalBase2(value)

func (e *exponentMapping) minIndex() int32 {
return int32(MinNormalExponent) >> e.shift
}
// In case the value is an exact power of two, compute a
// correction of -1:
correction := int32((getSignificand(value) - 1) >> SignificandWidth)

func (e *exponentMapping) maxIndex() int32 {
return int32(MaxNormalExponent) >> e.shift
// Note: bit-shifting does the right thing for negative
// exponents, e.g., -1 >> 1 == -1.
return (rawExp + correction) >> e.shift
}

// LowerBoundary implements mapping.Mapping.
func (e *exponentMapping) LowerBoundary(index int32) (float64, error) {
if min := e.minIndex(); index < min {
if min := e.minNormalLowerBoundaryIndex(); index < min {
return 0, mapping.ErrUnderflow
}

if max := e.maxIndex(); index > max {
if max := e.maxNormalLowerBoundaryIndex(); index > max {
return 0, mapping.ErrOverflow
}

unbiased := int64(index << e.shift)

// Note: although the mapping function rounds subnormal values
// up to the smallest normal value, there are still buckets
// that may be filled that start at subnormal values. The
// following code handles this correctly. It's equivalent to and
// faster than math.Ldexp(1, int(unbiased)).
if unbiased < int64(MinNormalExponent) {
subnormal := uint64(1 << SignificandWidth)
for unbiased < int64(MinNormalExponent) {
unbiased++
subnormal >>= 1
}
return math.Float64frombits(subnormal), nil
}
exponent := unbiased + ExponentBias

bits := uint64(exponent << SignificandWidth)
return math.Float64frombits(bits), nil
return math.Ldexp(1, int(index<<e.shift)), nil
}

// Scale implements mapping.Mapping.
Expand Down
Loading