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meter_example_test.go
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meter_example_test.go
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// 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 metric_test
import (
"context"
"sync/atomic"
"testing"
"github.com/stretchr/testify/assert"
"go.opentelemetry.io/otel/attribute"
"go.opentelemetry.io/otel/metric/instrument"
"go.opentelemetry.io/otel/sdk/instrumentation"
"go.opentelemetry.io/otel/sdk/metric"
"go.opentelemetry.io/otel/sdk/metric/metricdata"
"go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest"
)
// This example can be found: https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/supplementary-guidelines.md#asynchronous-example
func TestCumulativeAsynchronousExample(t *testing.T) {
ctx := context.Background()
filter := attribute.Filter(func(kv attribute.KeyValue) bool {
return kv.Key != "tid"
})
reader := metric.NewManualReader()
defaultView := metric.NewView(metric.Instrument{Name: "pageFaults"}, metric.Stream{Name: "pageFaults"})
filteredView := metric.NewView(metric.Instrument{Name: "pageFaults"}, metric.Stream{Name: "filteredPageFaults", AttributeFilter: filter})
meter := metric.NewMeterProvider(
metric.WithReader(reader),
metric.WithView(defaultView),
metric.WithView(filteredView),
).Meter("AsynchronousExample")
ctr, err := meter.Int64ObservableCounter("pageFaults")
assert.NoError(t, err)
tid1Attrs := []attribute.KeyValue{attribute.String("pid", "1001"), attribute.Int("tid", 1)}
tid2Attrs := []attribute.KeyValue{attribute.String("pid", "1001"), attribute.Int("tid", 2)}
tid3Attrs := []attribute.KeyValue{attribute.String("pid", "1001"), attribute.Int("tid", 3)}
attrs := [][]attribute.KeyValue{tid1Attrs, tid2Attrs, tid3Attrs}
pfValues := []int64{0, 0, 0}
_, err = meter.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
for i := range pfValues {
if pfValues[i] != 0 {
ctr.Observe(ctx, pfValues[i], attrs[i]...)
}
}
})
assert.NoError(t, err)
filteredAttributeSet := attribute.NewSet(attribute.KeyValue{Key: "pid", Value: attribute.StringValue("1001")})
// During the time range (T0, T1]:
// pid = 1001, tid = 1, #PF = 50
// pid = 1001, tid = 2, #PF = 30
atomic.StoreInt64(&pfValues[0], 50)
atomic.StoreInt64(&pfValues[1], 30)
wantScopeMetrics := metricdata.ScopeMetrics{
Scope: instrumentation.Scope{Name: "AsynchronousExample"},
Metrics: []metricdata.Metrics{
{
Name: "filteredPageFaults",
Data: metricdata.Sum[int64]{
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: true,
DataPoints: []metricdata.DataPoint[int64]{
{
Attributes: filteredAttributeSet,
Value: 80,
},
},
},
},
{
Name: "pageFaults",
Data: metricdata.Sum[int64]{
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: true,
DataPoints: []metricdata.DataPoint[int64]{
{
Attributes: attribute.NewSet(tid1Attrs...),
Value: 50,
},
{
Attributes: attribute.NewSet(tid2Attrs...),
Value: 30,
},
},
},
},
},
}
metrics, err := reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
wantFilterValue := &wantScopeMetrics.Metrics[0].Data.(metricdata.Sum[int64]).DataPoints[0].Value
wantDataPoint1Value := &wantScopeMetrics.Metrics[1].Data.(metricdata.Sum[int64]).DataPoints[0].Value
wantDataPoint2Value := &wantScopeMetrics.Metrics[1].Data.(metricdata.Sum[int64]).DataPoints[1].Value
// During the time range (T1, T2]:
// pid = 1001, tid = 1, #PF = 53
// pid = 1001, tid = 2, #PF = 38
atomic.StoreInt64(&pfValues[0], 53)
atomic.StoreInt64(&pfValues[1], 38)
*wantFilterValue = 91
*wantDataPoint1Value = 53
*wantDataPoint2Value = 38
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
// During the time range (T2, T3]
// pid = 1001, tid = 1, #PF = 56
// pid = 1001, tid = 2, #PF = 42
atomic.StoreInt64(&pfValues[0], 56)
atomic.StoreInt64(&pfValues[1], 42)
*wantFilterValue = 98
*wantDataPoint1Value = 56
*wantDataPoint2Value = 42
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
// During the time range (T3, T4]:
// pid = 1001, tid = 1, #PF = 60
// pid = 1001, tid = 2, #PF = 47
atomic.StoreInt64(&pfValues[0], 60)
atomic.StoreInt64(&pfValues[1], 47)
*wantFilterValue = 107
*wantDataPoint1Value = 60
*wantDataPoint2Value = 47
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
// During the time range (T4, T5]:
// thread 1 died, thread 3 started
// pid = 1001, tid = 2, #PF = 53
// pid = 1001, tid = 3, #PF = 5
atomic.StoreInt64(&pfValues[0], 0)
atomic.StoreInt64(&pfValues[1], 53)
atomic.StoreInt64(&pfValues[2], 5)
*wantFilterValue = 58
wantAgg := metricdata.Sum[int64]{
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: true,
DataPoints: []metricdata.DataPoint[int64]{
{
Attributes: attribute.NewSet(tid1Attrs...),
Value: 60,
},
{
Attributes: attribute.NewSet(tid2Attrs...),
Value: 53,
},
{
Attributes: attribute.NewSet(tid3Attrs...),
Value: 5,
},
},
}
wantScopeMetrics.Metrics[1].Data = wantAgg
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
}
// This example can be found: https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/metrics/supplementary-guidelines.md#asynchronous-example
func TestDeltaAsynchronousExample(t *testing.T) {
ctx := context.Background()
filter := attribute.Filter(func(kv attribute.KeyValue) bool {
return kv.Key != "tid"
})
reader := metric.NewManualReader(metric.WithTemporalitySelector(func(ik metric.InstrumentKind) metricdata.Temporality { return metricdata.DeltaTemporality }))
defaultView := metric.NewView(metric.Instrument{Name: "pageFaults"}, metric.Stream{Name: "pageFaults"})
filteredView := metric.NewView(metric.Instrument{Name: "pageFaults"}, metric.Stream{Name: "filteredPageFaults", AttributeFilter: filter})
meter := metric.NewMeterProvider(
metric.WithReader(reader),
metric.WithView(defaultView),
metric.WithView(filteredView),
).Meter("AsynchronousExample")
ctr, err := meter.Int64ObservableCounter("pageFaults")
assert.NoError(t, err)
tid1Attrs := []attribute.KeyValue{attribute.String("pid", "1001"), attribute.Int("tid", 1)}
tid2Attrs := []attribute.KeyValue{attribute.String("pid", "1001"), attribute.Int("tid", 2)}
tid3Attrs := []attribute.KeyValue{attribute.String("pid", "1001"), attribute.Int("tid", 3)}
attrs := [][]attribute.KeyValue{tid1Attrs, tid2Attrs, tid3Attrs}
pfValues := []int64{0, 0, 0}
_, err = meter.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
for i := range pfValues {
if pfValues[i] != 0 {
ctr.Observe(ctx, pfValues[i], attrs[i]...)
}
}
})
assert.NoError(t, err)
filteredAttributeSet := attribute.NewSet(attribute.KeyValue{Key: "pid", Value: attribute.StringValue("1001")})
// During the time range (T0, T1]:
// pid = 1001, tid = 1, #PF = 50
// pid = 1001, tid = 2, #PF = 30
atomic.StoreInt64(&pfValues[0], 50)
atomic.StoreInt64(&pfValues[1], 30)
wantScopeMetrics := metricdata.ScopeMetrics{
Scope: instrumentation.Scope{Name: "AsynchronousExample"},
Metrics: []metricdata.Metrics{
{
Name: "filteredPageFaults",
Data: metricdata.Sum[int64]{
Temporality: metricdata.DeltaTemporality,
IsMonotonic: true,
DataPoints: []metricdata.DataPoint[int64]{
{
Attributes: filteredAttributeSet,
Value: 80,
},
},
},
},
{
Name: "pageFaults",
Data: metricdata.Sum[int64]{
Temporality: metricdata.DeltaTemporality,
IsMonotonic: true,
DataPoints: []metricdata.DataPoint[int64]{
{
Attributes: attribute.NewSet(tid1Attrs...),
Value: 50,
},
{
Attributes: attribute.NewSet(tid2Attrs...),
Value: 30,
},
},
},
},
},
}
metrics, err := reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
wantFilterValue := &wantScopeMetrics.Metrics[0].Data.(metricdata.Sum[int64]).DataPoints[0].Value
wantDataPoint1Value := &wantScopeMetrics.Metrics[1].Data.(metricdata.Sum[int64]).DataPoints[0].Value
wantDataPoint2Value := &wantScopeMetrics.Metrics[1].Data.(metricdata.Sum[int64]).DataPoints[1].Value
// During the time range (T1, T2]:
// pid = 1001, tid = 1, #PF = 53
// pid = 1001, tid = 2, #PF = 38
atomic.StoreInt64(&pfValues[0], 53)
atomic.StoreInt64(&pfValues[1], 38)
*wantFilterValue = 11
*wantDataPoint1Value = 3
*wantDataPoint2Value = 8
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
// During the time range (T2, T3]
// pid = 1001, tid = 1, #PF = 56
// pid = 1001, tid = 2, #PF = 42
atomic.StoreInt64(&pfValues[0], 56)
atomic.StoreInt64(&pfValues[1], 42)
*wantFilterValue = 7
*wantDataPoint1Value = 3
*wantDataPoint2Value = 4
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
// During the time range (T3, T4]:
// pid = 1001, tid = 1, #PF = 60
// pid = 1001, tid = 2, #PF = 47
atomic.StoreInt64(&pfValues[0], 60)
atomic.StoreInt64(&pfValues[1], 47)
*wantFilterValue = 9
*wantDataPoint1Value = 4
*wantDataPoint2Value = 5
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
// During the time range (T4, T5]:
// thread 1 died, thread 3 started
// pid = 1001, tid = 2, #PF = 53
// pid = 1001, tid = 3, #PF = 5
atomic.StoreInt64(&pfValues[0], 0)
atomic.StoreInt64(&pfValues[1], 53)
atomic.StoreInt64(&pfValues[2], 5)
*wantFilterValue = -49
wantAgg := metricdata.Sum[int64]{
Temporality: metricdata.DeltaTemporality,
IsMonotonic: true,
DataPoints: []metricdata.DataPoint[int64]{
{
Attributes: attribute.NewSet(tid1Attrs...),
Value: 0,
},
{
Attributes: attribute.NewSet(tid2Attrs...),
Value: 6,
},
{
Attributes: attribute.NewSet(tid3Attrs...),
Value: 5,
},
},
}
wantScopeMetrics.Metrics[1].Data = wantAgg
metrics, err = reader.Collect(ctx)
assert.NoError(t, err)
metricdatatest.AssertEqual(t, wantScopeMetrics, metrics.ScopeMetrics[0], metricdatatest.IgnoreTimestamp())
}