// 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 histogram_test import ( "math" "math/rand" "sort" "testing" "github.com/stretchr/testify/require" "go.opentelemetry.io/otel/api/metric" "go.opentelemetry.io/otel/sdk/metric/aggregator/aggregatortest" "go.opentelemetry.io/otel/sdk/metric/aggregator/histogram" ) const count = 100 type policy struct { name string absolute bool sign func() int } var ( positiveOnly = policy{ name: "absolute", absolute: true, sign: func() int { return +1 }, } negativeOnly = policy{ name: "negative", absolute: false, sign: func() int { return -1 }, } positiveAndNegative = policy{ name: "positiveAndNegative", absolute: false, sign: func() int { if rand.Uint32() > math.MaxUint32/2 { return -1 } return 1 }, } boundaries = []float64{500, 250, 750} ) func new2(desc *metric.Descriptor) (_, _ *histogram.Aggregator) { alloc := histogram.New(2, desc, boundaries) return &alloc[0], &alloc[1] } func new4(desc *metric.Descriptor) (_, _, _, _ *histogram.Aggregator) { alloc := histogram.New(4, desc, boundaries) return &alloc[0], &alloc[1], &alloc[2], &alloc[3] } func checkZero(t *testing.T, agg *histogram.Aggregator, desc *metric.Descriptor) { asum, err := agg.Sum() require.Equal(t, metric.Number(0), asum, "Empty checkpoint sum = 0") require.NoError(t, err) count, err := agg.Count() require.Equal(t, int64(0), count, "Empty checkpoint count = 0") require.NoError(t, err) buckets, err := agg.Histogram() require.NoError(t, err) require.Equal(t, len(buckets.Counts), len(boundaries)+1, "There should be b + 1 counts, where b is the number of boundaries") for i, bCount := range buckets.Counts { require.Equal(t, uint64(0), uint64(bCount), "Bucket #%d must have 0 observed values", i) } } func TestHistogramAbsolute(t *testing.T) { aggregatortest.RunProfiles(t, func(t *testing.T, profile aggregatortest.Profile) { testHistogram(t, profile, positiveOnly) }) } func TestHistogramNegativeOnly(t *testing.T) { aggregatortest.RunProfiles(t, func(t *testing.T, profile aggregatortest.Profile) { testHistogram(t, profile, negativeOnly) }) } func TestHistogramPositiveAndNegative(t *testing.T) { aggregatortest.RunProfiles(t, func(t *testing.T, profile aggregatortest.Profile) { testHistogram(t, profile, positiveAndNegative) }) } // Validates count, sum and buckets for a given profile and policy func testHistogram(t *testing.T, profile aggregatortest.Profile, policy policy) { descriptor := aggregatortest.NewAggregatorTest(metric.ValueRecorderKind, profile.NumberKind) agg, ckpt := new2(descriptor) all := aggregatortest.NewNumbers(profile.NumberKind) for i := 0; i < count; i++ { x := profile.Random(policy.sign()) all.Append(x) aggregatortest.CheckedUpdate(t, agg, x, descriptor) } require.NoError(t, agg.SynchronizedMove(ckpt, descriptor)) checkZero(t, agg, descriptor) all.Sort() asum, err := ckpt.Sum() sum := all.Sum() require.InEpsilon(t, sum.CoerceToFloat64(profile.NumberKind), asum.CoerceToFloat64(profile.NumberKind), 0.000000001, "Same sum - "+policy.name) require.NoError(t, err) count, err := ckpt.Count() require.Equal(t, all.Count(), count, "Same count -"+policy.name) require.NoError(t, err) buckets, err := ckpt.Histogram() require.NoError(t, err) require.Equal(t, len(buckets.Counts), len(boundaries)+1, "There should be b + 1 counts, where b is the number of boundaries") counts := calcBuckets(all.Points(), profile) for i, v := range counts { bCount := uint64(buckets.Counts[i]) require.Equal(t, v, bCount, "Wrong bucket #%d count: %v != %v", i, counts, buckets.Counts) } } func TestHistogramInitial(t *testing.T) { aggregatortest.RunProfiles(t, func(t *testing.T, profile aggregatortest.Profile) { descriptor := aggregatortest.NewAggregatorTest(metric.ValueRecorderKind, profile.NumberKind) agg := &histogram.New(1, descriptor, boundaries)[0] buckets, err := agg.Histogram() require.NoError(t, err) require.Equal(t, len(buckets.Counts), len(boundaries)+1) require.Equal(t, len(buckets.Boundaries), len(boundaries)) }) } func TestHistogramMerge(t *testing.T) { aggregatortest.RunProfiles(t, func(t *testing.T, profile aggregatortest.Profile) { descriptor := aggregatortest.NewAggregatorTest(metric.ValueRecorderKind, profile.NumberKind) agg1, agg2, ckpt1, ckpt2 := new4(descriptor) all := aggregatortest.NewNumbers(profile.NumberKind) for i := 0; i < count; i++ { x := profile.Random(+1) all.Append(x) aggregatortest.CheckedUpdate(t, agg1, x, descriptor) } for i := 0; i < count; i++ { x := profile.Random(+1) all.Append(x) aggregatortest.CheckedUpdate(t, agg2, x, descriptor) } require.NoError(t, agg1.SynchronizedMove(ckpt1, descriptor)) require.NoError(t, agg2.SynchronizedMove(ckpt2, descriptor)) aggregatortest.CheckedMerge(t, ckpt1, ckpt2, descriptor) all.Sort() asum, err := ckpt1.Sum() sum := all.Sum() require.InEpsilon(t, sum.CoerceToFloat64(profile.NumberKind), asum.CoerceToFloat64(profile.NumberKind), 0.000000001, "Same sum - absolute") require.NoError(t, err) count, err := ckpt1.Count() require.Equal(t, all.Count(), count, "Same count - absolute") require.NoError(t, err) buckets, err := ckpt1.Histogram() require.NoError(t, err) require.Equal(t, len(buckets.Counts), len(boundaries)+1, "There should be b + 1 counts, where b is the number of boundaries") counts := calcBuckets(all.Points(), profile) for i, v := range counts { bCount := uint64(buckets.Counts[i]) require.Equal(t, v, bCount, "Wrong bucket #%d count: %v != %v", i, counts, buckets.Counts) } }) } func TestHistogramNotSet(t *testing.T) { aggregatortest.RunProfiles(t, func(t *testing.T, profile aggregatortest.Profile) { descriptor := aggregatortest.NewAggregatorTest(metric.ValueRecorderKind, profile.NumberKind) agg, ckpt := new2(descriptor) err := agg.SynchronizedMove(ckpt, descriptor) require.NoError(t, err) checkZero(t, agg, descriptor) checkZero(t, ckpt, descriptor) }) } func calcBuckets(points []metric.Number, profile aggregatortest.Profile) []uint64 { sortedBoundaries := make([]float64, len(boundaries)) copy(sortedBoundaries, boundaries) sort.Float64s(sortedBoundaries) counts := make([]uint64, len(sortedBoundaries)+1) idx := 0 for _, p := range points { for idx < len(sortedBoundaries) && p.CoerceToFloat64(profile.NumberKind) >= sortedBoundaries[idx] { idx++ } counts[idx]++ } return counts }