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253 lines (237 loc) · 9.16 KB
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package model
import (
"testing"
typesv1 "github.com/grafana/pyroscope/api/gen/proto/go/types/v1"
"github.com/grafana/pyroscope/pkg/iter"
"github.com/grafana/pyroscope/pkg/testhelper"
"github.com/stretchr/testify/assert"
)
func Test_RangeSeriesSum(t *testing.T) {
seriesA := NewLabelsBuilder(nil).Set("foo", "bar").Set("__type__", "contentions").Labels()
seriesB := NewLabelsBuilder(nil).Set("foo", "buzz").Set("__type__", "contentions").Labels()
for _, tc := range []struct {
name string
in []TimeSeriesValue
out []*typesv1.Series
}{
{
name: "single series",
in: []TimeSeriesValue{
{Ts: 1, Value: 1, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 1, Value: 1, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 2, Value: 2, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 3, Value: 3, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 4, Value: 4, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 5, Value: 5, Lbs: seriesA, LabelsHash: seriesA.Hash(), Annotations: []*typesv1.ProfileAnnotation{{Key: "foo", Value: "bar"}}},
},
out: []*typesv1.Series{
{
Labels: seriesA,
Points: []*typesv1.Point{
{Timestamp: 1, Value: 2, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 2, Value: 2, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 3, Value: 3, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 4, Value: 4, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 5, Value: 5, Annotations: []*typesv1.ProfileAnnotation{{Key: "foo", Value: "bar"}}},
},
},
},
},
{
name: "multiple series",
in: []TimeSeriesValue{
{Ts: 1, Value: 1, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 1, Value: 1, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 2, Value: 1, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 3, Value: 1, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 3, Value: 1, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 4, Value: 4, Lbs: seriesB, LabelsHash: seriesB.Hash(), Annotations: []*typesv1.ProfileAnnotation{{Key: "foo", Value: "bar"}}},
{Ts: 4, Value: 4, Lbs: seriesB, LabelsHash: seriesB.Hash(), Annotations: []*typesv1.ProfileAnnotation{{Key: "foo", Value: "buzz"}}},
{Ts: 4, Value: 4, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 5, Value: 5, Lbs: seriesA, LabelsHash: seriesA.Hash()},
},
out: []*typesv1.Series{
{
Labels: seriesA,
Points: []*typesv1.Point{
{Timestamp: 1, Value: 1, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 2, Value: 1, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 4, Value: 4, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 5, Value: 5, Annotations: []*typesv1.ProfileAnnotation{}},
},
},
{
Labels: seriesB,
Points: []*typesv1.Point{
{Timestamp: 1, Value: 1, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 3, Value: 2, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 4, Value: 8, Annotations: []*typesv1.ProfileAnnotation{
{Key: "foo", Value: "bar"},
{Key: "foo", Value: "buzz"}}},
},
},
},
},
} {
t.Run(tc.name, func(t *testing.T) {
in := iter.NewSliceIterator(tc.in)
out := RangeSeries(in, 1, 5, 1, nil)
testhelper.EqualProto(t, tc.out, out)
})
}
}
func Test_RangeSeriesAvg(t *testing.T) {
seriesA := NewLabelsBuilder(nil).Set("foo", "bar").Set("__type__", "inuse_objects").Labels()
seriesB := NewLabelsBuilder(nil).Set("foo", "buzz").Set("__type__", "inuse_objects").Labels()
for _, tc := range []struct {
name string
in []TimeSeriesValue
out []*typesv1.Series
}{
{
name: "single series",
in: []TimeSeriesValue{
{Ts: 1, Value: 1, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 1, Value: 2, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 2, Value: 2, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 2, Value: 3, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 3, Value: 4, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 4, Value: 5, Lbs: seriesA, LabelsHash: seriesA.Hash(), Annotations: []*typesv1.ProfileAnnotation{{Key: "foo", Value: "bar"}}},
},
out: []*typesv1.Series{
{
Labels: seriesA,
Points: []*typesv1.Point{
{Timestamp: 1, Value: 1.5, Annotations: []*typesv1.ProfileAnnotation{}}, // avg of 1 and 2
{Timestamp: 2, Value: 2.5, Annotations: []*typesv1.ProfileAnnotation{}}, // avg of 2 and 3
{Timestamp: 3, Value: 4, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 4, Value: 5, Annotations: []*typesv1.ProfileAnnotation{{Key: "foo", Value: "bar"}}},
},
},
},
},
{
name: "multiple series",
in: []TimeSeriesValue{
{Ts: 1, Value: 1, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 1, Value: 1, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 2, Value: 1, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 2, Value: 2, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 3, Value: 1, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 3, Value: 2, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 4, Value: 4, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 4, Value: 6, Lbs: seriesB, LabelsHash: seriesB.Hash()},
{Ts: 4, Value: 4, Lbs: seriesA, LabelsHash: seriesA.Hash()},
{Ts: 5, Value: 5, Lbs: seriesA, LabelsHash: seriesA.Hash()},
},
out: []*typesv1.Series{
{
Labels: seriesA,
Points: []*typesv1.Point{
{Timestamp: 1, Value: 1, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 2, Value: 1.5, Annotations: []*typesv1.ProfileAnnotation{}}, // avg of 1 and 2
{Timestamp: 4, Value: 4, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 5, Value: 5, Annotations: []*typesv1.ProfileAnnotation{}},
},
},
{
Labels: seriesB,
Points: []*typesv1.Point{
{Timestamp: 1, Value: 1, Annotations: []*typesv1.ProfileAnnotation{}},
{Timestamp: 3, Value: 1.5, Annotations: []*typesv1.ProfileAnnotation{}}, // avg of 1 and 2
{Timestamp: 4, Value: 5, Annotations: []*typesv1.ProfileAnnotation{}}, // avg of 4 and 6
},
},
},
},
} {
t.Run(tc.name, func(t *testing.T) {
in := iter.NewSliceIterator(tc.in)
aggregation := typesv1.TimeSeriesAggregationType_TIME_SERIES_AGGREGATION_TYPE_AVERAGE
out := RangeSeries(in, 1, 5, 1, &aggregation)
testhelper.EqualProto(t, tc.out, out)
})
}
}
func Test_RangeSeriesRateNormalization(t *testing.T) {
cpuLabels := NewLabelsBuilder(nil).Set("__type__", "cpu").Labels()
testData := []TimeSeriesValue{
{Ts: 0, Value: 0, Lbs: cpuLabels, LabelsHash: cpuLabels.Hash()}, // t=0: start
{Ts: 15000, Value: 30, Lbs: cpuLabels, LabelsHash: cpuLabels.Hash()}, // t=15s: 30s CPU
{Ts: 30000, Value: 0, Lbs: cpuLabels, LabelsHash: cpuLabels.Hash()}, // t=30s: reset
{Ts: 45000, Value: 30, Lbs: cpuLabels, LabelsHash: cpuLabels.Hash()}, // t=45s: 30s CPU again
}
// Test with 15 second steps (step = 15000ms) - creates 4 bucket
in15s := iter.NewSliceIterator(testData)
rateAggregation := typesv1.TimeSeriesAggregationType_TIME_SERIES_AGGREGATION_TYPE_RATE
out15s := RangeSeries(in15s, 0, 60000, 15000, &rateAggregation)
// Test with 30 second steps (step = 30000ms) - creates 2 buckets
in30s := iter.NewSliceIterator(testData)
out30s := RangeSeries(in30s, 0, 60000, 30000, &rateAggregation)
var total15s, total30s float64
for _, series := range out15s {
for _, point := range series.Points {
total15s += point.Value * 15.0
}
}
for _, series := range out30s {
for _, point := range series.Points {
total30s += point.Value * 30.0
}
}
assert.Equal(t, total15s, total30s)
assert.Equal(t, 60.0, total15s)
assert.Equal(t, 60.0, total30s)
}
func Test_NewTimeSeriesAggregatorSelection(t *testing.T) {
stepDuration := 5.0
tests := []struct {
name string
aggregation *typesv1.TimeSeriesAggregationType
expectedType string
description string
}{
{
name: "No aggregation defaults to sum for backward compatibility",
aggregation: nil,
expectedType: "sum",
},
{
name: "Explicit sum aggregation",
aggregation: &[]typesv1.TimeSeriesAggregationType{typesv1.TimeSeriesAggregationType_TIME_SERIES_AGGREGATION_TYPE_SUM}[0],
expectedType: "sum",
},
{
name: "Explicit rate aggregation",
aggregation: &[]typesv1.TimeSeriesAggregationType{typesv1.TimeSeriesAggregationType_TIME_SERIES_AGGREGATION_TYPE_RATE}[0],
expectedType: "rate",
},
{
name: "Explicit average aggregation",
aggregation: &[]typesv1.TimeSeriesAggregationType{typesv1.TimeSeriesAggregationType_TIME_SERIES_AGGREGATION_TYPE_AVERAGE}[0],
expectedType: "avg",
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
aggregator := NewTimeSeriesAggregator(stepDuration, tt.aggregation)
actualType := getAggregatorType(t, aggregator)
if actualType != tt.expectedType {
t.Errorf("Expected %s aggregator, got %s.", tt.expectedType, actualType)
}
})
}
}
func getAggregatorType(t *testing.T, agg TimeSeriesAggregator) string {
t.Helper()
switch agg.(type) {
case *sumTimeSeriesAggregator:
return "sum"
case *avgTimeSeriesAggregator:
return "avg"
case *rateTimeSeriesAggregator:
return "rate"
default:
return "unknown"
}
}