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Adds attribute filter logic #3396

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merged 7 commits into from Nov 8, 2022
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319 changes: 319 additions & 0 deletions sdk/metric/meter_test.go
Expand Up @@ -28,6 +28,7 @@ import (
"go.opentelemetry.io/otel/sdk/instrumentation"
"go.opentelemetry.io/otel/sdk/metric/metricdata"
"go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest"
"go.opentelemetry.io/otel/sdk/metric/view"
"go.opentelemetry.io/otel/sdk/resource"
)

Expand Down Expand Up @@ -474,3 +475,321 @@ func TestMetersProvideScope(t *testing.T) {
assert.NoError(t, err)
metricdatatest.AssertEqual(t, want, got, metricdatatest.IgnoreTimestamp())
}

func TestAttributeFilter(t *testing.T) {
one := 1.0
two := 2.0
testcases := []struct {
name string
register func(t *testing.T, mtr metric.Meter) error
wantMetric metricdata.Metrics
}{
{
name: "AsyncFloat64Counter",
register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.AsyncFloat64().Counter("afcounter")
if err != nil {
return err
}
return mtr.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
ctr.Observe(ctx, 1.0, attribute.Int("version", 1))
ctr.Observe(ctx, 2.0, attribute.Int("version", 2))
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})
},
wantMetric: metricdata.Metrics{
Name: "afcounter",
Data: metricdata.Sum[float64]{
DataPoints: []metricdata.DataPoint[float64]{
{Value: 2.0}, // TODO: This should be 3.0. It is a bug in the sum aggregator
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},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: true,
},
},
},
{
name: "AsyncFloat64UpDownCounter",
register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.AsyncFloat64().UpDownCounter("afupdowncounter")
if err != nil {
return err
}
return mtr.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
ctr.Observe(ctx, 1.0, attribute.Int("version", 1))
ctr.Observe(ctx, 2.0, attribute.Int("version", 2))
})
},
wantMetric: metricdata.Metrics{
Name: "afupdowncounter",
Data: metricdata.Sum[float64]{
DataPoints: []metricdata.DataPoint[float64]{
{Value: 2.0}, // TODO: This should be 3.0. It is a bug in the sum aggregator
},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: false,
},
},
},
{
name: "AsyncFloat64Gauge",
register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.AsyncFloat64().Gauge("afgauge")
if err != nil {
return err
}
return mtr.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
ctr.Observe(ctx, 1.0, attribute.Int("version", 1))
ctr.Observe(ctx, 2.0, attribute.Int("version", 2))
})
},
wantMetric: metricdata.Metrics{
Name: "afgauge",
Data: metricdata.Gauge[float64]{
DataPoints: []metricdata.DataPoint[float64]{
{Value: 2.0},
},
},
},
},
{
name: "AsyncFloat64Counter",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.AsyncInt64().Counter("aicounter")
if err != nil {
return err
}
return mtr.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
ctr.Observe(ctx, 10, attribute.Int("version", 1))
ctr.Observe(ctx, 20, attribute.Int("version", 2))
})
},
wantMetric: metricdata.Metrics{
Name: "aicounter",
Data: metricdata.Sum[int64]{
DataPoints: []metricdata.DataPoint[int64]{
{Value: 20}, // TODO: This should be 3.0. It is a bug in the sum aggregator
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},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: true,
},
},
},
{
name: "AsyncFloat64UpDownCounter",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.AsyncInt64().UpDownCounter("aiupdowncounter")
if err != nil {
return err
}
return mtr.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
ctr.Observe(ctx, 10, attribute.Int("version", 1))
ctr.Observe(ctx, 20, attribute.Int("version", 2))
})
},
wantMetric: metricdata.Metrics{
Name: "aiupdowncounter",
Data: metricdata.Sum[int64]{
DataPoints: []metricdata.DataPoint[int64]{
{Value: 20}, // TODO: This should be 3.0. It is a bug in the sum aggregator
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},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: false,
},
},
},
{
name: "AsyncInt64Gauge",
register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.AsyncInt64().Gauge("aigauge")
if err != nil {
return err
}
return mtr.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
ctr.Observe(ctx, 10, attribute.Int("version", 1))
ctr.Observe(ctx, 20, attribute.Int("version", 2))
})
},
wantMetric: metricdata.Metrics{
Name: "aigauge",
Data: metricdata.Gauge[int64]{
DataPoints: []metricdata.DataPoint[int64]{
{Value: 20},
},
},
},
},
{
name: "SyncFloatCounter",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.SyncFloat64().Counter("sfcounter")
if err != nil {
return err
}

ctr.Add(context.Background(), 1.0, attribute.Int("version", 1))
ctr.Add(context.Background(), 2.0, attribute.Int("version", 2))
return nil
},
wantMetric: metricdata.Metrics{
Name: "sfcounter",
Data: metricdata.Sum[float64]{
DataPoints: []metricdata.DataPoint[float64]{
{Value: 3.0},
},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: true,
},
},
},
{
name: "SyncFloatUpDownCounter",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.SyncFloat64().UpDownCounter("sfupdowncounter")
if err != nil {
return err
}

ctr.Add(context.Background(), 1.0, attribute.Int("version", 1))
ctr.Add(context.Background(), 2.0, attribute.Int("version", 2))
return nil
},
wantMetric: metricdata.Metrics{
Name: "sfupdowncounter",
Data: metricdata.Sum[float64]{
DataPoints: []metricdata.DataPoint[float64]{
{Value: 3.0},
},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: false,
},
},
},
{
name: "SyncFloatHistogram",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.SyncFloat64().Histogram("sfhistogram")
if err != nil {
return err
}

ctr.Record(context.Background(), 1.0, attribute.Int("version", 1))
ctr.Record(context.Background(), 2.0, attribute.Int("version", 2))
return nil
},
wantMetric: metricdata.Metrics{
Name: "sfhistogram",
Data: metricdata.Histogram{
DataPoints: []metricdata.HistogramDataPoint{
{
Bounds: []float64{0, 5, 10, 25, 50, 75, 100, 250, 500, 750, 1000, 2500, 5000, 7500, 10000},
BucketCounts: []uint64{0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
Count: 2,
Min: &one,
Max: &two,
Sum: 3.0,
},
},
Temporality: metricdata.CumulativeTemporality,
},
},
},
{
name: "SyncIntCounter",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.SyncInt64().Counter("sicounter")
if err != nil {
return err
}

ctr.Add(context.Background(), 10, attribute.Int("version", 1))
ctr.Add(context.Background(), 20, attribute.Int("version", 2))
return nil
},
wantMetric: metricdata.Metrics{
Name: "sicounter",
Data: metricdata.Sum[int64]{
DataPoints: []metricdata.DataPoint[int64]{
{Value: 30},
},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: true,
},
},
},
{
name: "SyncIntUpDownCounter",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.SyncInt64().UpDownCounter("siupdowncounter")
if err != nil {
return err
}

ctr.Add(context.Background(), 10, attribute.Int("version", 1))
ctr.Add(context.Background(), 20, attribute.Int("version", 2))
return nil
},
wantMetric: metricdata.Metrics{
Name: "siupdowncounter",
Data: metricdata.Sum[int64]{
DataPoints: []metricdata.DataPoint[int64]{
{Value: 30},
},
Temporality: metricdata.CumulativeTemporality,
IsMonotonic: false,
},
},
},
{
name: "SyncIntHistogram",
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register: func(t *testing.T, mtr metric.Meter) error {
ctr, err := mtr.SyncInt64().Histogram("sihistogram")
if err != nil {
return err
}

ctr.Record(context.Background(), 1, attribute.Int("version", 1))
ctr.Record(context.Background(), 2, attribute.Int("version", 2))
return nil
},
wantMetric: metricdata.Metrics{
Name: "sihistogram",
Data: metricdata.Histogram{
DataPoints: []metricdata.HistogramDataPoint{
{
Bounds: []float64{0, 5, 10, 25, 50, 75, 100, 250, 500, 750, 1000, 2500, 5000, 7500, 10000},
BucketCounts: []uint64{0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0},
Count: 2,
Min: &one,
Max: &two,
Sum: 3.0,
},
},
Temporality: metricdata.CumulativeTemporality,
},
},
},
}

for _, tt := range testcases {
t.Run(tt.name, func(t *testing.T) {
v, err := view.New(
view.MatchInstrumentName("*"),
view.WithFilterAttributes(attribute.Key("foo")),
)
require.NoError(t, err)
rdr := NewManualReader()
mtr := NewMeterProvider(WithReader(rdr, v)).Meter("TestAttributeFilter")

err = tt.register(t, mtr)
require.NoError(t, err)

m, err := rdr.Collect(context.Background())
assert.NoError(t, err)

require.Len(t, m.ScopeMetrics, 1)
require.Len(t, m.ScopeMetrics[0].Metrics, 1)
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metricdatatest.AssertEqual(t, tt.wantMetric, m.ScopeMetrics[0].Metrics[0], metricdatatest.IgnoreTimestamp())
})
}
}
11 changes: 8 additions & 3 deletions sdk/metric/pipeline.go
Expand Up @@ -21,6 +21,7 @@ import (
"strings"
"sync"

"go.opentelemetry.io/otel/attribute"
"go.opentelemetry.io/otel/internal/global"
"go.opentelemetry.io/otel/metric/unit"
"go.opentelemetry.io/otel/sdk/instrumentation"
Expand Down Expand Up @@ -203,7 +204,7 @@ func (i *inserter[N]) Instrument(inst view.Instrument, instUnit unit.Unit) ([]in
}
matched = true

agg, err := i.cachedAggregator(inst, instUnit)
agg, err := i.cachedAggregator(inst, instUnit, v.AttributeFilter())
if err != nil {
errs.append(err)
}
Expand All @@ -223,7 +224,7 @@ func (i *inserter[N]) Instrument(inst view.Instrument, instUnit unit.Unit) ([]in
}

// Apply implicit default view if no explicit matched.
agg, err := i.cachedAggregator(inst, instUnit)
agg, err := i.cachedAggregator(inst, instUnit, nil)
if err != nil {
errs.append(err)
}
Expand All @@ -247,7 +248,7 @@ func (i *inserter[N]) Instrument(inst view.Instrument, instUnit unit.Unit) ([]in
//
// If the instrument defines an unknown or incompatible aggregation, an error
// is returned.
func (i *inserter[N]) cachedAggregator(inst view.Instrument, u unit.Unit) (internal.Aggregator[N], error) {
func (i *inserter[N]) cachedAggregator(inst view.Instrument, u unit.Unit, filter func(attribute.Set) attribute.Set) (internal.Aggregator[N], error) {
switch inst.Aggregation.(type) {
case nil, aggregation.Default:
// Undefined, nil, means to use the default from the reader.
Expand All @@ -273,6 +274,10 @@ func (i *inserter[N]) cachedAggregator(inst view.Instrument, u unit.Unit) (inter
if agg == nil { // Drop aggregator.
return nil, nil
}
if filter != nil {
agg = internal.NewFilter(agg, filter)
}

i.pipeline.addSync(inst.Scope, instrumentSync{
name: inst.Name,
description: inst.Description,
Expand Down