// 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 otlpmetric_test import ( "context" "fmt" "testing" "time" "github.com/google/go-cmp/cmp" "github.com/stretchr/testify/assert" "github.com/stretchr/testify/require" "google.golang.org/protobuf/testing/protocmp" "go.opentelemetry.io/otel/attribute" "go.opentelemetry.io/otel/exporters/otlp/otlpmetric" "go.opentelemetry.io/otel/exporters/otlp/otlpmetric/internal/metrictransform" "go.opentelemetry.io/otel/metric" "go.opentelemetry.io/otel/metric/metrictest" "go.opentelemetry.io/otel/metric/number" "go.opentelemetry.io/otel/metric/sdkapi" "go.opentelemetry.io/otel/sdk/instrumentation" "go.opentelemetry.io/otel/sdk/metric/aggregator" "go.opentelemetry.io/otel/sdk/metric/aggregator/histogram" "go.opentelemetry.io/otel/sdk/metric/aggregator/sum" "go.opentelemetry.io/otel/sdk/metric/export" "go.opentelemetry.io/otel/sdk/metric/export/aggregation" "go.opentelemetry.io/otel/sdk/metric/processor/processortest" "go.opentelemetry.io/otel/sdk/resource" commonpb "go.opentelemetry.io/proto/otlp/common/v1" metricpb "go.opentelemetry.io/proto/otlp/metrics/v1" ) var ( // Timestamps used in this test: intervalStart = time.Now() intervalEnd = intervalStart.Add(time.Hour) ) type stubClient struct { rm []*metricpb.ResourceMetrics } func (m *stubClient) Start(ctx context.Context) error { return nil } func (m *stubClient) Stop(ctx context.Context) error { return nil } func (m *stubClient) UploadMetrics(ctx context.Context, protoMetrics *metricpb.ResourceMetrics) error { m.rm = append(m.rm, protoMetrics) return nil } var _ otlpmetric.Client = (*stubClient)(nil) func (m *stubClient) Reset() { m.rm = nil } func newExporter(t *testing.T, opts ...otlpmetric.Option) (*otlpmetric.Exporter, *stubClient) { client := &stubClient{} exp, _ := otlpmetric.New(context.Background(), client, opts...) return exp, client } func startTime() uint64 { return uint64(intervalStart.UnixNano()) } func pointTime() uint64 { return uint64(intervalEnd.UnixNano()) } type testRecord struct { name string iKind sdkapi.InstrumentKind nKind number.Kind labels []attribute.KeyValue meterName string meterOpts []metric.MeterOption } func record( name string, iKind sdkapi.InstrumentKind, nKind number.Kind, labels []attribute.KeyValue, meterName string, meterOpts ...metric.MeterOption) testRecord { return testRecord{ name: name, iKind: iKind, nKind: nKind, labels: labels, meterName: meterName, meterOpts: meterOpts, } } var ( baseKeyValues = []attribute.KeyValue{attribute.String("host", "test.com")} cpuKey = attribute.Key("CPU") testHistogramBoundaries = []float64{2.0, 4.0, 8.0} cpu1Labels = []*commonpb.KeyValue{ { Key: "CPU", Value: &commonpb.AnyValue{ Value: &commonpb.AnyValue_IntValue{ IntValue: 1, }, }, }, { Key: "host", Value: &commonpb.AnyValue{ Value: &commonpb.AnyValue_StringValue{ StringValue: "test.com", }, }, }, } cpu2Labels = []*commonpb.KeyValue{ { Key: "CPU", Value: &commonpb.AnyValue{ Value: &commonpb.AnyValue_IntValue{ IntValue: 2, }, }, }, { Key: "host", Value: &commonpb.AnyValue{ Value: &commonpb.AnyValue_StringValue{ StringValue: "test.com", }, }, }, } testerAResource = resource.NewSchemaless(attribute.String("instance", "tester-a")) testerAResourcePb = metrictransform.Resource(testerAResource) ) const ( // Most of this test uses an empty instrumentation library name. testLibName = "" ) func TestNoGroupingExport(t *testing.T) { runMetricExportTests( t, nil, resource.Empty(), []testRecord{ record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(2)), testLibName, ), }, []*metricpb.ResourceMetrics{ { Resource: nil, InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{ { Metrics: []*metricpb.Metric{ { Name: "int64-count", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: true, AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu2Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, }, }, }, ) } func TestHistogramMetricGroupingExport(t *testing.T) { r := record( "histogram", sdkapi.HistogramInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ) expected := []*metricpb.ResourceMetrics{ { Resource: nil, InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{ { Metrics: []*metricpb.Metric{ { Name: "histogram", Data: &metricpb.Metric_Histogram{ Histogram: &metricpb.Histogram{ AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.HistogramDataPoint{ { Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), Count: 2, Sum: 11, ExplicitBounds: testHistogramBoundaries, BucketCounts: []uint64{1, 0, 0, 1}, }, { Attributes: cpu1Labels, Count: 2, Sum: 11, ExplicitBounds: testHistogramBoundaries, BucketCounts: []uint64{1, 0, 0, 1}, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, }, }, } runMetricExportTests(t, nil, resource.Empty(), []testRecord{r, r}, expected) } func TestCountInt64MetricGroupingExport(t *testing.T) { r := record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ) runMetricExportTests( t, nil, resource.Empty(), []testRecord{r, r}, []*metricpb.ResourceMetrics{ { Resource: nil, InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{ { Metrics: []*metricpb.Metric{ { Name: "int64-count", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: true, AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, }, }, }, ) } func TestCountFloat64MetricGroupingExport(t *testing.T) { r := record( "float64-count", sdkapi.CounterInstrumentKind, number.Float64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ) runMetricExportTests( t, nil, resource.Empty(), []testRecord{r, r}, []*metricpb.ResourceMetrics{ { Resource: nil, InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{ { Metrics: []*metricpb.Metric{ { Name: "float64-count", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: true, AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsDouble{AsDouble: 11.0}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsDouble{AsDouble: 11.0}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, }, }, }, ) } func TestResourceMetricGroupingExport(t *testing.T) { runMetricExportTests( t, nil, testerAResource, []testRecord{ record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(2)), testLibName, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ), }, []*metricpb.ResourceMetrics{ { Resource: testerAResourcePb, InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{ { Metrics: []*metricpb.Metric{ { Name: "int64-count", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: true, AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu2Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, }, }, }, ) } func TestResourceInstLibMetricGroupingExport(t *testing.T) { version1 := metric.WithInstrumentationVersion("v1") version2 := metric.WithInstrumentationVersion("v2") specialSchema := metric.WithSchemaURL("schurl") summingLib := "summing-lib" countingLib := "counting-lib" runMetricExportTests( t, nil, testerAResource, []testRecord{ record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), countingLib, version1, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), countingLib, version2, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), countingLib, version1, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(2)), countingLib, version1, ), record( "int64-count", sdkapi.CounterInstrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), summingLib, specialSchema, ), }, []*metricpb.ResourceMetrics{ { Resource: testerAResourcePb, InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{ { InstrumentationLibrary: &commonpb.InstrumentationLibrary{ Name: "counting-lib", Version: "v1", }, Metrics: []*metricpb.Metric{ { Name: "int64-count", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: true, AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu2Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, { InstrumentationLibrary: &commonpb.InstrumentationLibrary{ Name: "counting-lib", Version: "v2", }, Metrics: []*metricpb.Metric{ { Name: "int64-count", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: true, AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, { InstrumentationLibrary: &commonpb.InstrumentationLibrary{ Name: "summing-lib", }, SchemaUrl: "schurl", Metrics: []*metricpb.Metric{ { Name: "int64-count", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: true, AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, }, }, }, ) } func TestStatelessAggregationTemporality(t *testing.T) { type testcase struct { name string instrumentKind sdkapi.InstrumentKind aggTemporality metricpb.AggregationTemporality monotonic bool } for _, k := range []testcase{ {"counter", sdkapi.CounterInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_DELTA, true}, {"updowncounter", sdkapi.UpDownCounterInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_DELTA, false}, {"counterobserver", sdkapi.CounterObserverInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, true}, {"updowncounterobserver", sdkapi.UpDownCounterObserverInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, false}, } { t.Run(k.name, func(t *testing.T) { runMetricExportTests( t, []otlpmetric.Option{ otlpmetric.WithMetricAggregationTemporalitySelector( aggregation.StatelessTemporalitySelector(), ), }, testerAResource, []testRecord{ record( "instrument", k.instrumentKind, number.Int64Kind, append(baseKeyValues, cpuKey.Int(1)), testLibName, ), }, []*metricpb.ResourceMetrics{ { Resource: testerAResourcePb, InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{ { Metrics: []*metricpb.Metric{ { Name: "instrument", Data: &metricpb.Metric_Sum{ Sum: &metricpb.Sum{ IsMonotonic: k.monotonic, AggregationTemporality: k.aggTemporality, DataPoints: []*metricpb.NumberDataPoint{ { Value: &metricpb.NumberDataPoint_AsInt{AsInt: 11}, Attributes: cpu1Labels, StartTimeUnixNano: startTime(), TimeUnixNano: pointTime(), }, }, }, }, }, }, }, }, }, }, ) }) } } func runMetricExportTests(t *testing.T, opts []otlpmetric.Option, res *resource.Resource, records []testRecord, expected []*metricpb.ResourceMetrics) { exp, driver := newExporter(t, opts...) libraryRecs := map[instrumentation.Library][]export.Record{} for _, r := range records { lcopy := make([]attribute.KeyValue, len(r.labels)) copy(lcopy, r.labels) desc := metrictest.NewDescriptor(r.name, r.iKind, r.nKind) labs := attribute.NewSet(lcopy...) var agg, ckpt aggregator.Aggregator if r.iKind.Adding() { sums := sum.New(2) agg, ckpt = &sums[0], &sums[1] } else { histos := histogram.New(2, &desc, histogram.WithExplicitBoundaries(testHistogramBoundaries)) agg, ckpt = &histos[0], &histos[1] } ctx := context.Background() if r.iKind.Synchronous() { // For synchronous instruments, perform two updates: 1 and 10 switch r.nKind { case number.Int64Kind: require.NoError(t, agg.Update(ctx, number.NewInt64Number(1), &desc)) require.NoError(t, agg.Update(ctx, number.NewInt64Number(10), &desc)) case number.Float64Kind: require.NoError(t, agg.Update(ctx, number.NewFloat64Number(1), &desc)) require.NoError(t, agg.Update(ctx, number.NewFloat64Number(10), &desc)) default: t.Fatalf("invalid number kind: %v", r.nKind) } } else { // For asynchronous instruments, perform a single update: 11 switch r.nKind { case number.Int64Kind: require.NoError(t, agg.Update(ctx, number.NewInt64Number(11), &desc)) case number.Float64Kind: require.NoError(t, agg.Update(ctx, number.NewFloat64Number(11), &desc)) default: t.Fatalf("invalid number kind: %v", r.nKind) } } require.NoError(t, agg.SynchronizedMove(ckpt, &desc)) meterCfg := metric.NewMeterConfig(r.meterOpts...) lib := instrumentation.Library{ Name: r.meterName, Version: meterCfg.InstrumentationVersion(), SchemaURL: meterCfg.SchemaURL(), } libraryRecs[lib] = append(libraryRecs[lib], export.NewRecord(&desc, &labs, ckpt.Aggregation(), intervalStart, intervalEnd)) } assert.NoError(t, exp.Export(context.Background(), res, processortest.MultiInstrumentationLibraryReader(libraryRecs))) // assert.ElementsMatch does not equate nested slices of different order, // therefore this requires the top level slice to be broken down. // Build a map of Resource/InstrumentationLibrary pairs to Metrics, from // that validate the metric elements match for all expected pairs. Finally, // make we saw all expected pairs. keyFor := func(ilm *metricpb.InstrumentationLibraryMetrics) string { return fmt.Sprintf("%s/%s/%s", ilm.GetInstrumentationLibrary().GetName(), ilm.GetInstrumentationLibrary().GetVersion(), ilm.GetSchemaUrl()) } got := map[string][]*metricpb.Metric{} for _, rm := range driver.rm { for _, ilm := range rm.InstrumentationLibraryMetrics { k := keyFor(ilm) got[k] = append(got[k], ilm.GetMetrics()...) } } seen := map[string]struct{}{} for _, rm := range expected { for _, ilm := range rm.InstrumentationLibraryMetrics { k := keyFor(ilm) seen[k] = struct{}{} g, ok := got[k] if !ok { t.Errorf("missing metrics for:\n\tInstrumentationLibrary: %q\n", k) continue } if !assert.Len(t, g, len(ilm.GetMetrics())) { continue } for i, expected := range ilm.GetMetrics() { assert.Equal(t, "", cmp.Diff(expected, g[i], protocmp.Transform())) } } } for k := range got { if _, ok := seen[k]; !ok { t.Errorf("did not expect metrics for:\n\tInstrumentationLibrary: %s\n", k) } } } func TestEmptyMetricExport(t *testing.T) { exp, driver := newExporter(t) for _, test := range []struct { records []export.Record want []*metricpb.ResourceMetrics }{ { []export.Record(nil), []*metricpb.ResourceMetrics(nil), }, { []export.Record{}, []*metricpb.ResourceMetrics(nil), }, } { driver.Reset() require.NoError(t, exp.Export(context.Background(), resource.Empty(), processortest.MultiInstrumentationLibraryReader(map[instrumentation.Library][]export.Record{ { Name: testLibName, }: test.records, }))) assert.Equal(t, test.want, driver.rm) } }