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data_test.go
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data_test.go
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// Copyright The OpenTelemetry Authors
// SPDX-License-Identifier: Apache-2.0
package streams_test
import (
"math/rand"
"testing"
"github.com/stretchr/testify/require"
"github.com/open-telemetry/opentelemetry-collector-contrib/internal/exp/metrics/identity"
"github.com/open-telemetry/opentelemetry-collector-contrib/processor/deltatocumulativeprocessor/internal/data"
"github.com/open-telemetry/opentelemetry-collector-contrib/processor/deltatocumulativeprocessor/internal/metrics"
"github.com/open-telemetry/opentelemetry-collector-contrib/processor/deltatocumulativeprocessor/internal/streams"
"github.com/open-telemetry/opentelemetry-collector-contrib/processor/deltatocumulativeprocessor/internal/testdata/random"
)
var rdp data.Number
var rid streams.Ident
func BenchmarkSamples(b *testing.B) {
b.Run("iterfn", func(b *testing.B) {
dps := generate(b.N)
b.ResetTimer()
streams.Samples(dps)(func(id streams.Ident, dp data.Number) bool {
rdp = dp
rid = id
return true
})
})
b.Run("iface", func(b *testing.B) {
dps := generate(b.N)
mid := dps.id.Metric()
b.ResetTimer()
for i := 0; i < dps.Len(); i++ {
dp := dps.At(i)
rid = identity.OfStream(mid, dp)
rdp = dp
}
})
b.Run("loop", func(b *testing.B) {
dps := generate(b.N)
mid := dps.id.Metric()
b.ResetTimer()
for i := range dps.dps {
dp := dps.dps[i]
rid = identity.OfStream(mid, dp)
rdp = dp
}
})
}
func TestAggregate(t *testing.T) {
const total = 1000
dps := generate(total)
// inv aggregator inverts each sample
inv := aggr(func(_ streams.Ident, n data.Number) (data.Number, error) {
dp := n.Clone()
dp.SetIntValue(-dp.IntValue())
return dp, nil
})
err := streams.Apply(dps, inv.Aggregate)
require.NoError(t, err)
// check that all samples are inverted
for i := 0; i < total; i++ {
require.Equal(t, int64(-i), dps.dps[i].IntValue())
}
}
func TestDrop(t *testing.T) {
const total = 1000
dps := generate(total)
var want []data.Number
maybe := aggr(func(_ streams.Ident, dp data.Number) (data.Number, error) {
if rand.Intn(2) == 1 {
want = append(want, dp)
return dp, nil
}
return dp, streams.Drop
})
err := streams.Apply(dps, maybe.Aggregate)
require.NoError(t, err)
require.Equal(t, want, dps.dps)
}
func generate(n int) *Data {
id, ndp := random.Sum().Stream()
dps := Data{id: id, dps: make([]data.Number, n)}
for i := range dps.dps {
dp := ndp.Clone()
dp.SetIntValue(int64(i))
dps.dps[i] = dp
}
return &dps
}
type Data struct {
id streams.Ident
dps []data.Number
}
func (l Data) At(i int) data.Number {
return l.dps[i]
}
func (l Data) Len() int {
return len(l.dps)
}
func (l Data) Ident() metrics.Ident {
return l.id.Metric()
}
func (l *Data) Filter(expr func(data.Number) bool) {
var next []data.Number
for _, dp := range l.dps {
if expr(dp) {
next = append(next, dp)
}
}
l.dps = next
}
type aggr func(streams.Ident, data.Number) (data.Number, error)
func (a aggr) Aggregate(id streams.Ident, dp data.Number) (data.Number, error) {
return a(id, dp)
}