mirror of
https://github.com/open-telemetry/opentelemetry-go.git
synced 2024-12-12 10:04:29 +02:00
6eb68013b5
* Drop WorkerCount option
This is not a good option - the user isn't likely to know how many
worker goroutines is optimal. This should be something that an
exporter should figure out itself. The second problem with the option
is that it is specific to the metric transformation from SDK export
format into protobuf. When the exporter starts supporting other
protocols (HTTP/JSON for example), this option may be of no use. So
the option should rather belong to the protocol, not to the
exporter. Currently both mean the same, but later they will be
separated, and this option breaks the separation.
* Make stop channel a typical signalling channel
Signalling channels are idiomatically defined as chan struct{}, so
let's make it so, to avoid confusion about the meaning of the bool
type.
* Close a race when grpc connection is closed multiple times
If several goroutines call Shutdown at the same time, then the
following scenario is possible:
goroutine A locks a mutex, reads a started member, unlocks the mutex
and gets preempted
goroutine B locks a mutex, reads a started member, unlocks the mutex
and gets preempted
goroutine A does not return early in the "if !started" conditional and
continues to close the connection and execute the rest of the function
(where it finally sets the started member to false), gets preempted
goroutine B also does not return early, because it got a copy of
started before goroutine A set it to false, so it tries to close the
connection again.
* Update changelog
936 lines
25 KiB
Go
936 lines
25 KiB
Go
// Copyright The OpenTelemetry Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package otlp
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import (
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"context"
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"sync"
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"testing"
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"time"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/require"
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colmetricpb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/collector/metrics/v1"
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commonpb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/common/v1"
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metricpb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/metrics/v1"
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resourcepb "go.opentelemetry.io/otel/exporters/otlp/internal/opentelemetry-proto-gen/resource/v1"
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"go.opentelemetry.io/otel/label"
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"go.opentelemetry.io/otel/metric"
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"go.opentelemetry.io/otel/metric/number"
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metricsdk "go.opentelemetry.io/otel/sdk/export/metric"
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"go.opentelemetry.io/otel/sdk/export/metric/aggregation"
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"go.opentelemetry.io/otel/sdk/export/metric/metrictest"
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"go.opentelemetry.io/otel/sdk/metric/aggregator/histogram"
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"go.opentelemetry.io/otel/sdk/metric/aggregator/sum"
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"go.opentelemetry.io/otel/sdk/resource"
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"google.golang.org/grpc"
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)
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var (
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// Timestamps used in this test:
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intervalStart = time.Now()
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intervalEnd = intervalStart.Add(time.Hour)
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)
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func startTime() uint64 {
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return uint64(intervalStart.UnixNano())
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}
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func pointTime() uint64 {
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return uint64(intervalEnd.UnixNano())
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}
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type metricsServiceClientStub struct {
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rm []metricpb.ResourceMetrics
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}
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func (m *metricsServiceClientStub) Export(ctx context.Context, in *colmetricpb.ExportMetricsServiceRequest, opts ...grpc.CallOption) (*colmetricpb.ExportMetricsServiceResponse, error) {
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for _, rm := range in.GetResourceMetrics() {
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if rm == nil {
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continue
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}
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m.rm = append(m.rm, *rm)
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}
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return &colmetricpb.ExportMetricsServiceResponse{}, nil
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}
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func (m *metricsServiceClientStub) ResourceMetrics() []metricpb.ResourceMetrics {
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return m.rm
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}
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func (m *metricsServiceClientStub) Reset() {
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m.rm = nil
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}
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type checkpointSet struct {
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sync.RWMutex
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records []metricsdk.Record
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}
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func (m *checkpointSet) ForEach(_ metricsdk.ExportKindSelector, fn func(metricsdk.Record) error) error {
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for _, r := range m.records {
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if err := fn(r); err != nil && err != aggregation.ErrNoData {
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return err
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}
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}
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return nil
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}
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type record struct {
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name string
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iKind metric.InstrumentKind
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nKind number.Kind
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resource *resource.Resource
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opts []metric.InstrumentOption
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labels []label.KeyValue
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}
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var (
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baseKeyValues = []label.KeyValue{label.String("host", "test.com")}
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cpuKey = label.Key("CPU")
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testInstA = resource.NewWithAttributes(label.String("instance", "tester-a"))
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testInstB = resource.NewWithAttributes(label.String("instance", "tester-b"))
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testHistogramBoundaries = []float64{2.0, 4.0, 8.0}
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cpu1Labels = []*commonpb.StringKeyValue{
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{
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Key: "CPU",
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Value: "1",
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},
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{
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Key: "host",
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Value: "test.com",
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},
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}
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cpu2Labels = []*commonpb.StringKeyValue{
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{
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Key: "CPU",
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Value: "2",
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},
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{
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Key: "host",
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Value: "test.com",
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},
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}
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testerAResource = &resourcepb.Resource{
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Attributes: []*commonpb.KeyValue{
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{
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Key: "instance",
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Value: &commonpb.AnyValue{
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Value: &commonpb.AnyValue_StringValue{
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StringValue: "tester-a",
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},
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},
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},
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},
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}
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testerBResource = &resourcepb.Resource{
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Attributes: []*commonpb.KeyValue{
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{
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Key: "instance",
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Value: &commonpb.AnyValue{
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Value: &commonpb.AnyValue_StringValue{
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StringValue: "tester-b",
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},
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},
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},
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},
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}
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)
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func TestNoGroupingExport(t *testing.T) {
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runMetricExportTests(
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t,
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nil,
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[]record{
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{
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"int64-count",
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metric.CounterInstrumentKind,
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number.Int64Kind,
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nil,
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nil,
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append(baseKeyValues, cpuKey.Int(1)),
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},
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{
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"int64-count",
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metric.CounterInstrumentKind,
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number.Int64Kind,
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nil,
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nil,
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append(baseKeyValues, cpuKey.Int(2)),
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},
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},
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[]metricpb.ResourceMetrics{
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{
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Resource: nil,
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InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
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{
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Metrics: []*metricpb.Metric{
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{
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Name: "int64-count",
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Data: &metricpb.Metric_IntSum{
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IntSum: &metricpb.IntSum{
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IsMonotonic: true,
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AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
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DataPoints: []*metricpb.IntDataPoint{
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{
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Value: 11,
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Labels: cpu1Labels,
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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},
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{
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Value: 11,
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Labels: cpu2Labels,
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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)
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}
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func TestValuerecorderMetricGroupingExport(t *testing.T) {
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r := record{
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"valuerecorder",
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metric.ValueRecorderInstrumentKind,
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number.Int64Kind,
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nil,
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nil,
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append(baseKeyValues, cpuKey.Int(1)),
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}
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expected := []metricpb.ResourceMetrics{
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{
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Resource: nil,
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InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
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{
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Metrics: []*metricpb.Metric{
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{
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Name: "valuerecorder",
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Data: &metricpb.Metric_IntHistogram{
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IntHistogram: &metricpb.IntHistogram{
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AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
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DataPoints: []*metricpb.IntHistogramDataPoint{
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{
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Labels: []*commonpb.StringKeyValue{
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{
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Key: "CPU",
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Value: "1",
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},
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{
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Key: "host",
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Value: "test.com",
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},
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},
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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Count: 2,
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Sum: 11,
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ExplicitBounds: testHistogramBoundaries,
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BucketCounts: []uint64{1, 0, 0, 1},
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},
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{
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Labels: []*commonpb.StringKeyValue{
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{
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Key: "CPU",
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Value: "1",
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},
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{
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Key: "host",
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Value: "test.com",
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},
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},
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Count: 2,
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Sum: 11,
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ExplicitBounds: testHistogramBoundaries,
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BucketCounts: []uint64{1, 0, 0, 1},
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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},
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},
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},
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},
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},
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},
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},
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},
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},
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}
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runMetricExportTests(t, nil, []record{r, r}, expected)
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}
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func TestCountInt64MetricGroupingExport(t *testing.T) {
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r := record{
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"int64-count",
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metric.CounterInstrumentKind,
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number.Int64Kind,
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nil,
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nil,
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append(baseKeyValues, cpuKey.Int(1)),
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}
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runMetricExportTests(
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t,
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nil,
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[]record{r, r},
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[]metricpb.ResourceMetrics{
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{
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Resource: nil,
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InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
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{
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Metrics: []*metricpb.Metric{
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{
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Name: "int64-count",
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Data: &metricpb.Metric_IntSum{
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IntSum: &metricpb.IntSum{
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IsMonotonic: true,
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AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
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DataPoints: []*metricpb.IntDataPoint{
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{
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Value: 11,
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Labels: cpu1Labels,
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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},
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{
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Value: 11,
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Labels: cpu1Labels,
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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)
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}
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func TestCountFloat64MetricGroupingExport(t *testing.T) {
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r := record{
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"float64-count",
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metric.CounterInstrumentKind,
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number.Float64Kind,
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nil,
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nil,
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append(baseKeyValues, cpuKey.Int(1)),
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}
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runMetricExportTests(
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t,
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nil,
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[]record{r, r},
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[]metricpb.ResourceMetrics{
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{
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Resource: nil,
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InstrumentationLibraryMetrics: []*metricpb.InstrumentationLibraryMetrics{
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{
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Metrics: []*metricpb.Metric{
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{
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Name: "float64-count",
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Data: &metricpb.Metric_DoubleSum{
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DoubleSum: &metricpb.DoubleSum{
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IsMonotonic: true,
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AggregationTemporality: metricpb.AggregationTemporality_AGGREGATION_TEMPORALITY_CUMULATIVE,
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DataPoints: []*metricpb.DoubleDataPoint{
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{
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Value: 11,
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Labels: []*commonpb.StringKeyValue{
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{
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Key: "CPU",
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Value: "1",
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},
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{
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Key: "host",
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Value: "test.com",
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},
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},
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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},
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{
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Value: 11,
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Labels: []*commonpb.StringKeyValue{
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{
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Key: "CPU",
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Value: "1",
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},
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{
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Key: "host",
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Value: "test.com",
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},
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},
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StartTimeUnixNano: startTime(),
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TimeUnixNano: pointTime(),
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},
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},
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},
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},
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},
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},
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},
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},
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},
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},
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)
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}
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|
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func TestResourceMetricGroupingExport(t *testing.T) {
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runMetricExportTests(
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t,
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nil,
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[]record{
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{
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"int64-count",
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metric.CounterInstrumentKind,
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number.Int64Kind,
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testInstA,
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nil,
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append(baseKeyValues, cpuKey.Int(1)),
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},
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{
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"int64-count",
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metric.CounterInstrumentKind,
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number.Int64Kind,
|
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testInstA,
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nil,
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append(baseKeyValues, cpuKey.Int(1)),
|
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},
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{
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"int64-count",
|
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metric.CounterInstrumentKind,
|
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number.Int64Kind,
|
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testInstA,
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nil,
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append(baseKeyValues, cpuKey.Int(2)),
|
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},
|
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{
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"int64-count",
|
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metric.CounterInstrumentKind,
|
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number.Int64Kind,
|
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testInstB,
|
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nil,
|
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append(baseKeyValues, cpuKey.Int(1)),
|
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},
|
|
},
|
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[]metricpb.ResourceMetrics{
|
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{
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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) {
|
|
exp := NewUnstartedExporter(opts...)
|
|
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())
|
|
}
|
|
}
|