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opentelemetry-go/exporters/otlp/otlp_metric_test.go
Krzesimir Nowak 75d4911c95
Move metric code to a separate package (#1321)
* Move metrics code to metric package

* Update changelog
2020-11-12 07:28:32 -08:00

944 lines
25 KiB
Go

// 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 otlp
import (
"context"
"sync"
"testing"
"time"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
colmetricpb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/collector/metrics/v1"
commonpb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/common/v1"
metricpb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/metrics/v1"
resourcepb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/resource/v1"
"go.opentelemetry.io/otel/label"
"go.opentelemetry.io/otel/metric"
"go.opentelemetry.io/otel/metric/number"
metricsdk "go.opentelemetry.io/otel/sdk/export/metric"
"go.opentelemetry.io/otel/sdk/export/metric/aggregation"
"go.opentelemetry.io/otel/sdk/export/metric/metrictest"
"go.opentelemetry.io/otel/sdk/metric/aggregator/histogram"
"go.opentelemetry.io/otel/sdk/metric/aggregator/sum"
"go.opentelemetry.io/otel/sdk/resource"
"google.golang.org/grpc"
)
var (
// Timestamps used in this test:
intervalStart = time.Now()
intervalEnd = intervalStart.Add(time.Hour)
)
func startTime() uint64 {
return uint64(intervalStart.UnixNano())
}
func pointTime() uint64 {
return uint64(intervalEnd.UnixNano())
}
type metricsServiceClientStub struct {
rm []metricpb.ResourceMetrics
}
func (m *metricsServiceClientStub) Export(ctx context.Context, in *colmetricpb.ExportMetricsServiceRequest, opts ...grpc.CallOption) (*colmetricpb.ExportMetricsServiceResponse, error) {
for _, rm := range in.GetResourceMetrics() {
if rm == nil {
continue
}
m.rm = append(m.rm, *rm)
}
return &colmetricpb.ExportMetricsServiceResponse{}, nil
}
func (m *metricsServiceClientStub) ResourceMetrics() []metricpb.ResourceMetrics {
return m.rm
}
func (m *metricsServiceClientStub) Reset() {
m.rm = nil
}
type checkpointSet struct {
sync.RWMutex
records []metricsdk.Record
}
func (m *checkpointSet) ForEach(_ metricsdk.ExportKindSelector, fn func(metricsdk.Record) error) error {
for _, r := range m.records {
if err := fn(r); err != nil && err != aggregation.ErrNoData {
return err
}
}
return nil
}
type record struct {
name string
iKind metric.InstrumentKind
nKind number.Kind
resource *resource.Resource
opts []metric.InstrumentOption
labels []label.KeyValue
}
var (
baseKeyValues = []label.KeyValue{label.String("host", "test.com")}
cpuKey = label.Key("CPU")
testInstA = resource.NewWithAttributes(label.String("instance", "tester-a"))
testInstB = resource.NewWithAttributes(label.String("instance", "tester-b"))
testHistogramBoundaries = []float64{2.0, 4.0, 8.0}
cpu1Labels = []*commonpb.StringKeyValue{
{
Key: "CPU",
Value: "1",
},
{
Key: "host",
Value: "test.com",
},
}
cpu2Labels = []*commonpb.StringKeyValue{
{
Key: "CPU",
Value: "2",
},
{
Key: "host",
Value: "test.com",
},
}
testerAResource = &resourcepb.Resource{
Attributes: []*commonpb.KeyValue{
{
Key: "instance",
Value: &commonpb.AnyValue{
Value: &commonpb.AnyValue_StringValue{
StringValue: "tester-a",
},
},
},
},
}
testerBResource = &resourcepb.Resource{
Attributes: []*commonpb.KeyValue{
{
Key: "instance",
Value: &commonpb.AnyValue{
Value: &commonpb.AnyValue_StringValue{
StringValue: "tester-b",
},
},
},
},
}
)
func TestNoGroupingExport(t *testing.T) {
runMetricExportTests(
t,
nil,
[]record{
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
nil,
nil,
append(baseKeyValues, cpuKey.Int(1)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
nil,
nil,
append(baseKeyValues, cpuKey.Int(2)),
},
},
[]metricpb.ResourceMetrics{
{
Resource: nil,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
{
Value: 11,
Labels: cpu2Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
},
)
}
func TestValuerecorderMetricGroupingExport(t *testing.T) {
r := record{
"valuerecorder",
metric.ValueRecorderInstrumentKind,
number.Int64Kind,
nil,
nil,
append(baseKeyValues, cpuKey.Int(1)),
}
expected := []metricpb.ResourceMetrics{
{
Resource: nil,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
Metrics: []*metricpb.Metric{
{
Name: "valuerecorder",
Data: &metricpb.Metric_IntHistogram{
IntHistogram: &metricpb.IntHistogram{
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntHistogramDataPoint{
{
Labels: []*commonpb.StringKeyValue{
{
Key: "CPU",
Value: "1",
},
{
Key: "host",
Value: "test.com",
},
},
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
Count: 2,
Sum: 11,
ExplicitBounds: testHistogramBoundaries,
BucketCounts: []uint64{1, 0, 0, 1},
},
{
Labels: []*commonpb.StringKeyValue{
{
Key: "CPU",
Value: "1",
},
{
Key: "host",
Value: "test.com",
},
},
Count: 2,
Sum: 11,
ExplicitBounds: testHistogramBoundaries,
BucketCounts: []uint64{1, 0, 0, 1},
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
}
runMetricExportTests(t, nil, []record{r, r}, expected)
}
func TestCountInt64MetricGroupingExport(t *testing.T) {
r := record{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
nil,
nil,
append(baseKeyValues, cpuKey.Int(1)),
}
runMetricExportTests(
t,
nil,
[]record{r, r},
[]metricpb.ResourceMetrics{
{
Resource: nil,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
},
)
}
func TestCountFloat64MetricGroupingExport(t *testing.T) {
r := record{
"float64-count",
metric.CounterInstrumentKind,
number.Float64Kind,
nil,
nil,
append(baseKeyValues, cpuKey.Int(1)),
}
runMetricExportTests(
t,
nil,
[]record{r, r},
[]metricpb.ResourceMetrics{
{
Resource: nil,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
Metrics: []*metricpb.Metric{
{
Name: "float64-count",
Data: &metricpb.Metric_DoubleSum{
DoubleSum: &metricpb.DoubleSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.DoubleDataPoint{
{
Value: 11,
Labels: []*commonpb.StringKeyValue{
{
Key: "CPU",
Value: "1",
},
{
Key: "host",
Value: "test.com",
},
},
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
{
Value: 11,
Labels: []*commonpb.StringKeyValue{
{
Key: "CPU",
Value: "1",
},
{
Key: "host",
Value: "test.com",
},
},
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
},
)
}
func TestResourceMetricGroupingExport(t *testing.T) {
runMetricExportTests(
t,
nil,
[]record{
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
nil,
append(baseKeyValues, cpuKey.Int(1)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
nil,
append(baseKeyValues, cpuKey.Int(1)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
nil,
append(baseKeyValues, cpuKey.Int(2)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstB,
nil,
append(baseKeyValues, cpuKey.Int(1)),
},
},
[]metricpb.ResourceMetrics{
{
Resource: testerAResource,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
{
Value: 11,
Labels: cpu2Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
{
Resource: testerBResource,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
},
)
}
func TestResourceInstLibMetricGroupingExport(t *testing.T) {
countingLib1 := []metric.InstrumentOption{
metric.WithInstrumentationName("counting-lib"),
metric.WithInstrumentationVersion("v1"),
}
countingLib2 := []metric.InstrumentOption{
metric.WithInstrumentationName("counting-lib"),
metric.WithInstrumentationVersion("v2"),
}
summingLib := []metric.InstrumentOption{
metric.WithInstrumentationName("summing-lib"),
}
runMetricExportTests(
t,
nil,
[]record{
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
countingLib1,
append(baseKeyValues, cpuKey.Int(1)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
countingLib2,
append(baseKeyValues, cpuKey.Int(1)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
countingLib1,
append(baseKeyValues, cpuKey.Int(1)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
countingLib1,
append(baseKeyValues, cpuKey.Int(2)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstA,
summingLib,
append(baseKeyValues, cpuKey.Int(1)),
},
{
"int64-count",
metric.CounterInstrumentKind,
number.Int64Kind,
testInstB,
countingLib1,
append(baseKeyValues, cpuKey.Int(1)),
},
},
[]metricpb.ResourceMetrics{
{
Resource: testerAResource,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
InstrumentationLibrary: &commonpb.InstrumentationLibrary{
Name: "counting-lib",
Version: "v1",
},
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
{
Value: 11,
Labels: cpu2Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
{
InstrumentationLibrary: &commonpb.InstrumentationLibrary{
Name: "counting-lib",
Version: "v2",
},
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
{
InstrumentationLibrary: &commonpb.InstrumentationLibrary{
Name: "summing-lib",
},
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
{
Resource: testerBResource,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
InstrumentationLibrary: &commonpb.InstrumentationLibrary{
Name: "counting-lib",
Version: "v1",
},
Metrics: []*metricpb.Metric{
{
Name: "int64-count",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: true,
AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
},
)
}
func TestStatelessExportKind(t *testing.T) {
type testcase struct {
name string
instrumentKind metric.InstrumentKind
aggTemporality metricpb.AggregationTemporality
monotonic bool
}
for _, k := range []testcase{
{"counter", metric.CounterInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_DELTA, true},
{"updowncounter", metric.UpDownCounterInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_DELTA, false},
{"sumobserver", metric.SumObserverInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, true},
{"updownsumobserver", metric.UpDownSumObserverInstrumentKind, metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE, false},
} {
t.Run(k.name, func(t *testing.T) {
runMetricExportTests(
t,
[]ExporterOption{
WithMetricExportKindSelector(
metricsdk.StatelessExportKindSelector(),
),
},
[]record{
{
"instrument",
k.instrumentKind,
number.Int64Kind,
testInstA,
nil,
append(baseKeyValues, cpuKey.Int(1)),
},
},
[]metricpb.ResourceMetrics{
{
Resource: testerAResource,
InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
{
Metrics: []*metricpb.Metric{
{
Name: "instrument",
Data: &metricpb.Metric_IntSum{
IntSum: &metricpb.IntSum{
IsMonotonic: k.monotonic,
AggregationTemporality: k.aggTemporality,
DataPoints: []*metricpb.IntDataPoint{
{
Value: 11,
Labels: cpu1Labels,
StartTimeUnixNano: startTime(),
TimeUnixNano: pointTime(),
},
},
},
},
},
},
},
},
},
},
)
})
}
}
// What works single-threaded should work multi-threaded
func runMetricExportTests(t *testing.T, opts []ExporterOption, rs []record, expected []metricpb.ResourceMetrics) {
t.Run("1 goroutine", func(t *testing.T) {
runMetricExportTest(t, NewUnstartedExporter(append(opts[:len(opts):len(opts)], WorkerCount(1))...), rs, expected)
})
t.Run("20 goroutines", func(t *testing.T) {
runMetricExportTest(t, NewUnstartedExporter(append(opts[:len(opts):len(opts)], WorkerCount(20))...), rs, expected)
})
}
func runMetricExportTest(t *testing.T, exp *Exporter, rs []record, expected []metricpb.ResourceMetrics) {
msc := &metricsServiceClientStub{}
exp.metricExporter = msc
exp.started = true
recs := map[label.Distinct][]metricsdk.Record{}
resources := map[label.Distinct]*resource.Resource{}
for _, r := range rs {
lcopy := make([]label.KeyValue, len(r.labels))
copy(lcopy, r.labels)
desc := metric.NewDescriptor(r.name, r.iKind, r.nKind, r.opts...)
labs := label.NewSet(lcopy...)
var agg, ckpt metricsdk.Aggregator
if r.iKind.Adding() {
agg, ckpt = metrictest.Unslice2(sum.New(2))
} else {
agg, ckpt = metrictest.Unslice2(histogram.New(2, &desc, testHistogramBoundaries))
}
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))
equiv := r.resource.Equivalent()
resources[equiv] = r.resource
recs[equiv] = append(recs[equiv], metricsdk.NewRecord(&desc, &labs, r.resource, ckpt.Aggregation(), intervalStart, intervalEnd))
}
for _, records := range recs {
assert.NoError(t, exp.Export(context.Background(), &checkpointSet{records: records}))
}
// 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.
type key struct {
resource, instrumentationLibrary string
}
got := map[key][]*metricpb.Metric{}
for _, rm := range msc.ResourceMetrics() {
for _, ilm := range rm.InstrumentationLibraryMetrics {
k := key{
resource: rm.GetResource().String(),
instrumentationLibrary: ilm.GetInstrumentationLibrary().String(),
}
got[k] = ilm.GetMetrics()
}
}
seen := map[key]struct{}{}
for _, rm := range expected {
for _, ilm := range rm.InstrumentationLibraryMetrics {
k := key{
resource: rm.GetResource().String(),
instrumentationLibrary: ilm.GetInstrumentationLibrary().String(),
}
seen[k] = struct{}{}
g, ok := got[k]
if !ok {
t.Errorf("missing metrics for:\n\tResource: %s\n\tInstrumentationLibrary: %s\n", k.resource, k.instrumentationLibrary)
continue
}
if !assert.Len(t, g, len(ilm.GetMetrics())) {
continue
}
for i, expected := range ilm.GetMetrics() {
assert.Equal(t, expected.Name, g[i].Name)
assert.Equal(t, expected.Unit, g[i].Unit)
assert.Equal(t, expected.Description, g[i].Description)
switch g[i].Data.(type) {
case *metricpb.Metric_IntGauge:
assert.ElementsMatch(t, expected.GetIntGauge().DataPoints, g[i].GetIntGauge().DataPoints)
case *metricpb.Metric_IntHistogram:
assert.Equal(t,
expected.GetIntHistogram().GetAggregationTemporality(),
g[i].GetIntHistogram().GetAggregationTemporality(),
)
assert.ElementsMatch(t, expected.GetIntHistogram().DataPoints, g[i].GetIntHistogram().DataPoints)
case *metricpb.Metric_IntSum:
assert.Equal(t,
expected.GetIntSum().GetAggregationTemporality(),
g[i].GetIntSum().GetAggregationTemporality(),
)
assert.Equal(t,
expected.GetIntSum().GetIsMonotonic(),
g[i].GetIntSum().GetIsMonotonic(),
)
assert.ElementsMatch(t, expected.GetIntSum().DataPoints, g[i].GetIntSum().DataPoints)
case *metricpb.Metric_DoubleGauge:
assert.ElementsMatch(t, expected.GetDoubleGauge().DataPoints, g[i].GetDoubleGauge().DataPoints)
case *metricpb.Metric_DoubleHistogram:
assert.Equal(t,
expected.GetDoubleHistogram().GetAggregationTemporality(),
g[i].GetDoubleHistogram().GetAggregationTemporality(),
)
assert.ElementsMatch(t, expected.GetDoubleHistogram().DataPoints, g[i].GetDoubleHistogram().DataPoints)
case *metricpb.Metric_DoubleSum:
assert.Equal(t,
expected.GetDoubleSum().GetAggregationTemporality(),
g[i].GetDoubleSum().GetAggregationTemporality(),
)
assert.Equal(t,
expected.GetDoubleSum().GetIsMonotonic(),
g[i].GetDoubleSum().GetIsMonotonic(),
)
assert.ElementsMatch(t, expected.GetDoubleSum().DataPoints, g[i].GetDoubleSum().DataPoints)
default:
assert.Failf(t, "unknown data type", g[i].Name)
}
}
}
}
for k := range got {
if _, ok := seen[k]; !ok {
t.Errorf("did not expect metrics for:\n\tResource: %s\n\tInstrumentationLibrary: %s\n", k.resource, k.instrumentationLibrary)
}
}
}
func TestEmptyMetricExport(t *testing.T) {
msc := &metricsServiceClientStub{}
exp := NewUnstartedExporter()
exp.metricExporter = msc
exp.started = true
for _, test := range []struct {
records []metricsdk.Record
want []metricpb.ResourceMetrics
}{
{
[]metricsdk.Record(nil),
[]metricpb.ResourceMetrics(nil),
},
{
[]metricsdk.Record{},
[]metricpb.ResourceMetrics(nil),
},
} {
msc.Reset()
require.NoError(t, exp.Export(context.Background(), &checkpointSet{records: test.records}))
assert.Equal(t, test.want, msc.ResourceMetrics())
}
}