mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-01 14:47:38 +00:00
1422 lines
43 KiB
Go
1422 lines
43 KiB
Go
package promql
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import (
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"math"
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"testing"
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"github.com/VictoriaMetrics/metricsql"
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)
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var (
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testValues = []float64{123, 34, 44, 21, 54, 34, 99, 12, 44, 32, 34, 34}
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testTimestamps = []int64{5, 15, 24, 36, 49, 60, 78, 80, 97, 115, 120, 130}
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)
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func TestRollupIderivDuplicateTimestamps(t *testing.T) {
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rfa := &rollupFuncArg{
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values: []float64{1, 2, 3, 4, 5},
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timestamps: []int64{100, 100, 200, 300, 300},
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}
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n := rollupIderiv(rfa)
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if n != 20 {
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t.Fatalf("unexpected value; got %v; want %v", n, 20)
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}
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rfa = &rollupFuncArg{
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values: []float64{1, 2, 3, 4, 5},
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timestamps: []int64{100, 100, 300, 300, 300},
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}
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n = rollupIderiv(rfa)
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if n != 15 {
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t.Fatalf("unexpected value; got %v; want %v", n, 15)
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}
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rfa = &rollupFuncArg{
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prevValue: nan,
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values: []float64{},
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timestamps: []int64{},
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}
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n = rollupIderiv(rfa)
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if !math.IsNaN(n) {
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t.Fatalf("unexpected value; got %v; want %v", n, nan)
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}
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rfa = &rollupFuncArg{
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prevValue: nan,
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values: []float64{15},
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timestamps: []int64{100},
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}
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n = rollupIderiv(rfa)
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if !math.IsNaN(n) {
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t.Fatalf("unexpected value; got %v; want %v", n, nan)
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}
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rfa = &rollupFuncArg{
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prevTimestamp: 90,
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prevValue: 10,
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values: []float64{15},
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timestamps: []int64{100},
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}
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n = rollupIderiv(rfa)
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if n != 500 {
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t.Fatalf("unexpected value; got %v; want %v", n, 500)
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}
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rfa = &rollupFuncArg{
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prevTimestamp: 100,
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prevValue: 10,
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values: []float64{15},
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timestamps: []int64{100},
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}
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n = rollupIderiv(rfa)
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if n != inf {
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t.Fatalf("unexpected value; got %v; want %v", n, inf)
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}
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rfa = &rollupFuncArg{
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prevTimestamp: 100,
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prevValue: 10,
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values: []float64{15, 20},
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timestamps: []int64{100, 100},
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}
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n = rollupIderiv(rfa)
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if n != inf {
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t.Fatalf("unexpected value; got %v; want %v", n, inf)
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}
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}
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func TestRemoveCounterResets(t *testing.T) {
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removeCounterResets(nil)
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values := append([]float64{}, testValues...)
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removeCounterResets(values)
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valuesExpected := []float64{123, 157, 167, 188, 221, 255, 320, 332, 364, 396, 398, 398}
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testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
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// removeCounterResets doesn't expect negative values, so it doesn't work properly with them.
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values = []float64{-100, -200, -300, -400}
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removeCounterResets(values)
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valuesExpected = []float64{-100, -300, -600, -1000}
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timestampsExpected := []int64{0, 1, 2, 3}
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testRowsEqual(t, values, timestampsExpected, valuesExpected, timestampsExpected)
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// verify how partial counter reset is handled.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2787
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values = []float64{100, 95, 120, 119, 139, 50}
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removeCounterResets(values)
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valuesExpected = []float64{100, 100, 125, 125, 145, 195}
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timestampsExpected = []int64{0, 1, 2, 3, 4, 5}
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testRowsEqual(t, values, timestampsExpected, valuesExpected, timestampsExpected)
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}
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func TestDeltaValues(t *testing.T) {
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deltaValues(nil)
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values := []float64{123}
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deltaValues(values)
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valuesExpected := []float64{0}
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testRowsEqual(t, values, testTimestamps[:1], valuesExpected, testTimestamps[:1])
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values = append([]float64{}, testValues...)
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deltaValues(values)
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valuesExpected = []float64{-89, 10, -23, 33, -20, 65, -87, 32, -12, 2, 0, 0}
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testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
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// remove counter resets
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values = append([]float64{}, testValues...)
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removeCounterResets(values)
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deltaValues(values)
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valuesExpected = []float64{34, 10, 21, 33, 34, 65, 12, 32, 32, 2, 0, 0}
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testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
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}
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func TestDerivValues(t *testing.T) {
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derivValues(nil, nil)
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values := []float64{123}
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derivValues(values, testTimestamps[:1])
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valuesExpected := []float64{0}
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testRowsEqual(t, values, testTimestamps[:1], valuesExpected, testTimestamps[:1])
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values = append([]float64{}, testValues...)
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derivValues(values, testTimestamps)
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valuesExpected = []float64{-8900, 1111.111111111111, -1916.6666666666665, 2538.4615384615386, -1818.1818181818182, 3611.1111111111113,
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-43500, 1882.3529411764705, -666.6666666666667, 400, 0, 0}
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testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
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// remove counter resets
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values = append([]float64{}, testValues...)
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removeCounterResets(values)
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derivValues(values, testTimestamps)
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valuesExpected = []float64{3400, 1111.111111111111, 1750, 2538.4615384615386, 3090.909090909091, 3611.1111111111113,
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6000, 1882.3529411764705, 1777.7777777777778, 400, 0, 0}
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testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
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// duplicate timestamps
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values = []float64{1, 2, 3, 4, 5, 6, 7}
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timestamps := []int64{100, 100, 200, 200, 300, 400, 400}
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derivValues(values, timestamps)
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valuesExpected = []float64{0, 20, 20, 20, 10, 10, 10}
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testRowsEqual(t, values, timestamps, valuesExpected, timestamps)
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}
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func testRollupFunc(t *testing.T, funcName string, args []interface{}, meExpected *metricsql.MetricExpr, vExpected float64) {
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t.Helper()
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nrf := getRollupFunc(funcName)
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if nrf == nil {
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t.Fatalf("cannot obtain %q", funcName)
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}
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rf, err := nrf(args)
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if err != nil {
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t.Fatalf("unexpected error: %s", err)
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}
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var rfa rollupFuncArg
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rfa.prevValue = nan
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rfa.prevTimestamp = 0
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rfa.values = append(rfa.values, testValues...)
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rfa.timestamps = append(rfa.timestamps, testTimestamps...)
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rfa.window = rfa.timestamps[len(rfa.timestamps)-1] - rfa.timestamps[0]
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if rollupFuncsRemoveCounterResets[funcName] {
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removeCounterResets(rfa.values)
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}
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for i := 0; i < 5; i++ {
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v := rf(&rfa)
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if math.IsNaN(vExpected) {
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if !math.IsNaN(v) {
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t.Fatalf("unexpected value; got %v; want %v", v, vExpected)
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}
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} else {
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eps := math.Abs(v - vExpected)
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if eps > 1e-14 {
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t.Fatalf("unexpected value; got %v; want %v", v, vExpected)
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}
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}
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}
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}
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func TestRollupDurationOverTime(t *testing.T) {
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f := func(maxInterval, dExpected float64) {
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t.Helper()
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maxIntervals := []*timeseries{{
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Values: []float64{maxInterval},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, maxIntervals}
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testRollupFunc(t, "duration_over_time", args, &me, dExpected)
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}
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f(-123, 0)
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f(0, 0)
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f(0.001, 0)
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f(0.005, 0.007)
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f(0.01, 0.036)
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f(0.02, 0.125)
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f(1, 0.125)
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f(100, 0.125)
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}
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func TestRollupShareLEOverTime(t *testing.T) {
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f := func(le, vExpected float64) {
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t.Helper()
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les := []*timeseries{{
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Values: []float64{le},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, les}
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testRollupFunc(t, "share_le_over_time", args, &me, vExpected)
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}
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f(-123, 0)
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f(0, 0)
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f(10, 0)
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f(12, 0.08333333333333333)
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f(30, 0.16666666666666666)
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f(50, 0.75)
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f(100, 0.9166666666666666)
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f(123, 1)
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f(1000, 1)
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}
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func TestRollupShareGTOverTime(t *testing.T) {
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f := func(gt, vExpected float64) {
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t.Helper()
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gts := []*timeseries{{
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Values: []float64{gt},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, gts}
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testRollupFunc(t, "share_gt_over_time", args, &me, vExpected)
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}
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f(-123, 1)
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f(0, 1)
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f(10, 1)
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f(12, 0.9166666666666666)
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f(30, 0.8333333333333334)
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f(50, 0.25)
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f(100, 0.08333333333333333)
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f(123, 0)
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f(1000, 0)
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}
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func TestRollupCountLEOverTime(t *testing.T) {
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f := func(le, vExpected float64) {
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t.Helper()
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les := []*timeseries{{
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Values: []float64{le},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, les}
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testRollupFunc(t, "count_le_over_time", args, &me, vExpected)
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}
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f(-123, 0)
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f(0, 0)
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f(10, 0)
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f(12, 1)
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f(30, 2)
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f(50, 9)
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f(100, 11)
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f(123, 12)
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f(1000, 12)
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}
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func TestRollupCountGTOverTime(t *testing.T) {
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f := func(gt, vExpected float64) {
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t.Helper()
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gts := []*timeseries{{
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Values: []float64{gt},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, gts}
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testRollupFunc(t, "count_gt_over_time", args, &me, vExpected)
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}
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f(-123, 12)
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f(0, 12)
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f(10, 12)
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f(12, 11)
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f(30, 10)
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f(50, 3)
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f(100, 1)
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f(123, 0)
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f(1000, 0)
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}
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func TestRollupCountEQOverTime(t *testing.T) {
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f := func(eq, vExpected float64) {
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t.Helper()
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eqs := []*timeseries{{
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Values: []float64{eq},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, eqs}
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testRollupFunc(t, "count_eq_over_time", args, &me, vExpected)
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}
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f(-123, 0)
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f(0, 0)
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f(34, 4)
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f(123, 1)
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f(12, 1)
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}
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func TestRollupCountNEOverTime(t *testing.T) {
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f := func(ne, vExpected float64) {
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t.Helper()
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nes := []*timeseries{{
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Values: []float64{ne},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, nes}
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testRollupFunc(t, "count_ne_over_time", args, &me, vExpected)
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}
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f(-123, 12)
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f(0, 12)
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f(34, 8)
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f(123, 11)
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f(12, 11)
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}
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func TestRollupQuantileOverTime(t *testing.T) {
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f := func(phi, vExpected float64) {
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t.Helper()
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phis := []*timeseries{{
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Values: []float64{phi},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{phis, &metricsql.RollupExpr{Expr: &me}}
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testRollupFunc(t, "quantile_over_time", args, &me, vExpected)
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}
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f(-123, math.Inf(-1))
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f(-0.5, math.Inf(-1))
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f(0, 12)
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f(0.1, 22.1)
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f(0.5, 34)
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f(0.9, 94.50000000000001)
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f(1, 123)
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f(234, math.Inf(+1))
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}
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func TestRollupPredictLinear(t *testing.T) {
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f := func(sec, vExpected float64) {
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t.Helper()
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secs := []*timeseries{{
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Values: []float64{sec},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, secs}
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testRollupFunc(t, "predict_linear", args, &me, vExpected)
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}
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f(0e-3, 65.07405077267295)
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f(50e-3, 51.7311206569699)
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f(100e-3, 38.38819054126685)
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f(200e-3, 11.702330309860756)
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}
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func TestLinearRegression(t *testing.T) {
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f := func(values []float64, timestamps []int64, expV, expK float64) {
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t.Helper()
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rfa := &rollupFuncArg{
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values: values,
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timestamps: timestamps,
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currTimestamp: timestamps[0] + 100,
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}
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v, k := linearRegression(rfa)
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if err := compareValues([]float64{v}, []float64{expV}); err != nil {
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t.Fatalf("unexpected v err: %s", err)
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}
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if err := compareValues([]float64{k}, []float64{expK}); err != nil {
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t.Fatalf("unexpected k err: %s", err)
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}
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}
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f([]float64{1}, []int64{1}, math.NaN(), math.NaN())
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f([]float64{1, 2}, []int64{100, 300}, 1.5, 5)
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f([]float64{2, 4, 6, 8, 10}, []int64{100, 200, 300, 400, 500}, 4, 20)
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}
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|
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func TestRollupHoltWinters(t *testing.T) {
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f := func(sf, tf, vExpected float64) {
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t.Helper()
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sfs := []*timeseries{{
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Values: []float64{sf},
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Timestamps: []int64{123},
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}}
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tfs := []*timeseries{{
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Values: []float64{tf},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{&metricsql.RollupExpr{Expr: &me}, sfs, tfs}
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testRollupFunc(t, "holt_winters", args, &me, vExpected)
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}
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f(-1, 0.5, nan)
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f(0, 0.5, nan)
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f(1, 0.5, nan)
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f(2, 0.5, nan)
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f(0.5, -1, nan)
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f(0.5, 0, nan)
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f(0.5, 1, nan)
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f(0.5, 2, nan)
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f(0.5, 0.5, 34.97794532775879)
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f(0.1, 0.5, -131.30529492371622)
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f(0.1, 0.1, -397.3307790780296)
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f(0.5, 0.1, -5.791530520284198)
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f(0.5, 0.9, 25.498906408926757)
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f(0.9, 0.9, 33.99637566941818)
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}
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|
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func TestRollupHoeffdingBoundLower(t *testing.T) {
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f := func(phi, vExpected float64) {
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t.Helper()
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phis := []*timeseries{{
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Values: []float64{phi},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{phis, &metricsql.RollupExpr{Expr: &me}}
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testRollupFunc(t, "hoeffding_bound_lower", args, &me, vExpected)
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}
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f(0.5, 28.21949401521037)
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f(-1, 47.083333333333336)
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f(0, 47.083333333333336)
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f(1, -inf)
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f(2, -inf)
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f(0.1, 39.72878000047643)
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f(0.9, 12.701803086472331)
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}
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|
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func TestRollupHoeffdingBoundUpper(t *testing.T) {
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f := func(phi, vExpected float64) {
|
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t.Helper()
|
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phis := []*timeseries{{
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Values: []float64{phi},
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Timestamps: []int64{123},
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}}
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var me metricsql.MetricExpr
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args := []interface{}{phis, &metricsql.RollupExpr{Expr: &me}}
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testRollupFunc(t, "hoeffding_bound_upper", args, &me, vExpected)
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}
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f(0.5, 65.9471726514563)
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f(-1, 47.083333333333336)
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f(0, 47.083333333333336)
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f(1, inf)
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f(2, inf)
|
|
f(0.1, 54.43788666619024)
|
|
f(0.9, 81.46486358019433)
|
|
}
|
|
|
|
func TestRollupNewRollupFuncSuccess(t *testing.T) {
|
|
f := func(funcName string, vExpected float64) {
|
|
t.Helper()
|
|
var me metricsql.MetricExpr
|
|
args := []interface{}{&metricsql.RollupExpr{Expr: &me}}
|
|
testRollupFunc(t, funcName, args, &me, vExpected)
|
|
}
|
|
|
|
f("default_rollup", 34)
|
|
f("changes", 11)
|
|
f("changes_prometheus", 10)
|
|
f("delta", 34)
|
|
f("delta_prometheus", -89)
|
|
f("deriv", -266.85860231406093)
|
|
f("deriv_fast", -712)
|
|
f("idelta", 0)
|
|
f("increase", 398)
|
|
f("increase_prometheus", 275)
|
|
f("irate", 0)
|
|
f("rate", 2200)
|
|
f("resets", 5)
|
|
f("range_over_time", 111)
|
|
f("avg_over_time", 47.083333333333336)
|
|
f("min_over_time", 12)
|
|
f("max_over_time", 123)
|
|
f("tmin_over_time", 0.08)
|
|
f("tmax_over_time", 0.005)
|
|
f("tfirst_over_time", 0.005)
|
|
f("tlast_change_over_time", 0.12)
|
|
f("tlast_over_time", 0.13)
|
|
f("sum_over_time", 565)
|
|
f("sum2_over_time", 37951)
|
|
f("geomean_over_time", 39.33466603189148)
|
|
f("count_over_time", 12)
|
|
f("stale_samples_over_time", 0)
|
|
f("stddev_over_time", 30.752935722554287)
|
|
f("stdvar_over_time", 945.7430555555555)
|
|
f("first_over_time", 123)
|
|
f("last_over_time", 34)
|
|
f("integrate", 0.817)
|
|
f("distinct_over_time", 8)
|
|
f("ideriv", 0)
|
|
f("decreases_over_time", 5)
|
|
f("increases_over_time", 5)
|
|
f("increase_pure", 398)
|
|
f("ascent_over_time", 142)
|
|
f("descent_over_time", 231)
|
|
f("zscore_over_time", -0.4254336383156416)
|
|
f("timestamp", 0.13)
|
|
f("timestamp_with_name", 0.13)
|
|
f("mode_over_time", 34)
|
|
f("rate_over_sum", 4520)
|
|
}
|
|
|
|
func TestRollupNewRollupFuncError(t *testing.T) {
|
|
if nrf := getRollupFunc("non-existing-func"); nrf != nil {
|
|
t.Fatalf("expecting nil func; got %p", nrf)
|
|
}
|
|
|
|
f := func(funcName string, args []interface{}) {
|
|
t.Helper()
|
|
|
|
nrf := getRollupFunc(funcName)
|
|
rf, err := nrf(args)
|
|
if err == nil {
|
|
t.Fatalf("expecting non-nil error")
|
|
}
|
|
if rf != nil {
|
|
t.Fatalf("expecting nil rf; got %p", rf)
|
|
}
|
|
}
|
|
|
|
// Invalid number of args
|
|
f("default_rollup", nil)
|
|
f("holt_winters", nil)
|
|
f("predict_linear", nil)
|
|
f("quantile_over_time", nil)
|
|
f("quantiles_over_time", nil)
|
|
|
|
// Invalid arg type
|
|
scalarTs := []*timeseries{{
|
|
Values: []float64{321},
|
|
Timestamps: []int64{123},
|
|
}}
|
|
me := &metricsql.MetricExpr{}
|
|
f("holt_winters", []interface{}{123, 123, 321})
|
|
f("holt_winters", []interface{}{me, 123, 321})
|
|
f("holt_winters", []interface{}{me, scalarTs, 321})
|
|
f("predict_linear", []interface{}{123, 123})
|
|
f("predict_linear", []interface{}{me, 123})
|
|
f("quantile_over_time", []interface{}{123, 123})
|
|
f("quantiles_over_time", []interface{}{123, 123})
|
|
}
|
|
|
|
func TestRollupNoWindowNoPoints(t *testing.T) {
|
|
t.Run("beforeStart", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 0,
|
|
End: 4,
|
|
Step: 1,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned != 0 {
|
|
t.Fatalf("expecting zero samplesScanned from rollupConfig.Do; got %d", samplesScanned)
|
|
}
|
|
valuesExpected := []float64{nan, nan, nan, nan, nan}
|
|
timestampsExpected := []int64{0, 1, 2, 3, 4}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("afterEnd", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupDelta,
|
|
Start: 120,
|
|
End: 148,
|
|
Step: 4,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{2, 0, 0, 0, nan, nan, nan, nan}
|
|
timestampsExpected := []int64{120, 124, 128, 132, 136, 140, 144, 148}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
}
|
|
|
|
func TestRollupWindowNoPoints(t *testing.T) {
|
|
t.Run("beforeStart", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 0,
|
|
End: 4,
|
|
Step: 1,
|
|
Window: 3,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned != 0 {
|
|
t.Fatalf("expecting zero samplesScanned from rollupConfig.Do; got %d", samplesScanned)
|
|
}
|
|
valuesExpected := []float64{nan, nan, nan, nan, nan}
|
|
timestampsExpected := []int64{0, 1, 2, 3, 4}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("afterEnd", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 161,
|
|
End: 191,
|
|
Step: 10,
|
|
Window: 3,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned != 0 {
|
|
t.Fatalf("expecting zero samplesScanned from rollupConfig.Do; got %d", samplesScanned)
|
|
}
|
|
valuesExpected := []float64{nan, nan, nan, nan}
|
|
timestampsExpected := []int64{161, 171, 181, 191}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
}
|
|
|
|
func TestRollupNoWindowPartialPoints(t *testing.T) {
|
|
t.Run("beforeStart", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 0,
|
|
End: 25,
|
|
Step: 5,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 123, nan, 34, nan, 44}
|
|
timestampsExpected := []int64{0, 5, 10, 15, 20, 25}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("afterEnd", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 100,
|
|
End: 160,
|
|
Step: 20,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{44, 32, 34, nan}
|
|
timestampsExpected := []int64{100, 120, 140, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("middle", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: -50,
|
|
End: 150,
|
|
Step: 50,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, nan, 123, 34, 32}
|
|
timestampsExpected := []int64{-50, 0, 50, 100, 150}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
}
|
|
|
|
func TestRollupWindowPartialPoints(t *testing.T) {
|
|
t.Run("beforeStart", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupLast,
|
|
Start: 0,
|
|
End: 20,
|
|
Step: 5,
|
|
Window: 8,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 123, 123, 34, 34}
|
|
timestampsExpected := []int64{0, 5, 10, 15, 20}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("afterEnd", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupLast,
|
|
Start: 100,
|
|
End: 160,
|
|
Step: 20,
|
|
Window: 18,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{44, 34, 34, nan}
|
|
timestampsExpected := []int64{100, 120, 140, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("middle", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupLast,
|
|
Start: 0,
|
|
End: 150,
|
|
Step: 50,
|
|
Window: 19,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 54, 44, nan}
|
|
timestampsExpected := []int64{0, 50, 100, 150}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
}
|
|
|
|
func TestRollupFuncsLookbackDelta(t *testing.T) {
|
|
t.Run("1", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 80,
|
|
End: 140,
|
|
Step: 10,
|
|
LookbackDelta: 1,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{99, nan, 44, nan, 32, 34, nan}
|
|
timestampsExpected := []int64{80, 90, 100, 110, 120, 130, 140}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("7", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 80,
|
|
End: 140,
|
|
Step: 10,
|
|
LookbackDelta: 7,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{99, nan, 44, nan, 32, 34, nan}
|
|
timestampsExpected := []int64{80, 90, 100, 110, 120, 130, 140}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("0", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 80,
|
|
End: 140,
|
|
Step: 10,
|
|
LookbackDelta: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{99, nan, 44, nan, 32, 34, nan}
|
|
timestampsExpected := []int64{80, 90, 100, 110, 120, 130, 140}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
}
|
|
|
|
func TestRollupFuncsNoWindow(t *testing.T) {
|
|
t.Run("first", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupFirst,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 123, 54, 44, 34}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("count", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupCount,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 4, 4, 3, 1}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("min", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupMin,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 21, 12, 32, 34}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("max", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupMax,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 123, 99, 44, 34}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("sum", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupSum,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 222, 199, 110, 34}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("delta", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupDelta,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 21, -9, 22, 0}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("delta_prometheus", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupDeltaPrometheus,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, -102, -42, -10, nan}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("idelta", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupIdelta,
|
|
Start: 10,
|
|
End: 130,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{123, 33, -87, 0}
|
|
timestampsExpected := []int64{10, 50, 90, 130}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("lag", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupLag,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 0.004, 0, 0, 0.03}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("lifetime_1", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupLifetime,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 0.031, 0.044, 0.04, 0.01}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("lifetime_2", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupLifetime,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 200,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 0.031, 0.075, 0.115, 0.125}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("scrape_interval_1", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupScrapeInterval,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 0.010333333333333333, 0.011, 0.013333333333333334, 0.01}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("scrape_interval_2", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupScrapeInterval,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 80,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 0.010333333333333333, 0.010714285714285714, 0.012, 0.0125}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("changes", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupChanges,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 4, 4, 3, 0}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("changes_prometheus", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupChangesPrometheus,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 3, 3, 2, 0}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("changes_small_window", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupChanges,
|
|
Start: 0,
|
|
End: 45,
|
|
Step: 9,
|
|
Window: 9,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 1, 1, 1, 1, 0}
|
|
timestampsExpected := []int64{0, 9, 18, 27, 36, 45}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("resets", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupResets,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 2, 2, 1, 0}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("avg", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupAvg,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 55.5, 49.75, 36.666666666666664, 34}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("deriv", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupDerivSlow,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, -2879.310344827588, 127.87627310448904, -496.5831435079728, 0}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("deriv_fast", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupDerivFast,
|
|
Start: 0,
|
|
End: 20,
|
|
Step: 4,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, nan, nan, 0, -8900, 0}
|
|
timestampsExpected := []int64{0, 4, 8, 12, 16, 20}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("ideriv", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupIderiv,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, -1916.6666666666665, -43500, 400, 0}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("stddev", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupStddev,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 39.81519810323691, 32.080952292598795, 5.2493385826745405, 0}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("integrate", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupIntegrate,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 2.148, 1.593, 1.156, 1.36}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("distinct_over_time_1", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupDistinct,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 0,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 4, 4, 3, 1}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("distinct_over_time_2", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupDistinct,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 80,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 4, 7, 6, 3}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("mode_over_time", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupModeOverTime,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 80,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 21, 34, 34, 34}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("rate_over_sum", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupRateOverSum,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 80,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, 2775, 5262.5, 3862.5, 1800}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
t.Run("zscore_over_time", func(t *testing.T) {
|
|
rc := rollupConfig{
|
|
Func: rollupZScoreOverTime,
|
|
Start: 0,
|
|
End: 160,
|
|
Step: 40,
|
|
Window: 80,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
values, samplesScanned := rc.Do(nil, testValues, testTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{nan, -0.86650328627136, -1.1200838283548589, -0.40035755084856683, nan}
|
|
timestampsExpected := []int64{0, 40, 80, 120, 160}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
})
|
|
}
|
|
|
|
func TestRollupBigNumberOfValues(t *testing.T) {
|
|
const srcValuesCount = 1e4
|
|
rc := rollupConfig{
|
|
Func: rollupDefault,
|
|
End: srcValuesCount,
|
|
Step: srcValuesCount / 5,
|
|
Window: srcValuesCount / 4,
|
|
}
|
|
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
|
|
srcValues := make([]float64, srcValuesCount)
|
|
srcTimestamps := make([]int64, srcValuesCount)
|
|
for i := 0; i < srcValuesCount; i++ {
|
|
srcValues[i] = float64(i)
|
|
srcTimestamps[i] = int64(i / 2)
|
|
}
|
|
values, samplesScanned := rc.Do(nil, srcValues, srcTimestamps)
|
|
if samplesScanned == 0 {
|
|
t.Fatalf("expecting non-zero samplesScanned from rollupConfig.Do")
|
|
}
|
|
valuesExpected := []float64{1, 4001, 8001, 9999, nan, nan}
|
|
timestampsExpected := []int64{0, 2000, 4000, 6000, 8000, 10000}
|
|
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
|
|
}
|
|
|
|
func testRowsEqual(t *testing.T, values []float64, timestamps []int64, valuesExpected []float64, timestampsExpected []int64) {
|
|
t.Helper()
|
|
if len(values) != len(valuesExpected) {
|
|
t.Fatalf("unexpected len(values); got %d; want %d\nvalues=\n%v\nvaluesExpected=\n%v",
|
|
len(values), len(valuesExpected), values, valuesExpected)
|
|
}
|
|
if len(timestamps) != len(timestampsExpected) {
|
|
t.Fatalf("unexpected len(timestamps); got %d; want %d\ntimestamps=\n%v\ntimestampsExpected=\n%v",
|
|
len(timestamps), len(timestampsExpected), timestamps, timestampsExpected)
|
|
}
|
|
if len(values) != len(timestamps) {
|
|
t.Fatalf("len(values) doesn't match len(timestamps); got %d vs %d", len(values), len(timestamps))
|
|
}
|
|
for i, v := range values {
|
|
ts := timestamps[i]
|
|
tsExpected := timestampsExpected[i]
|
|
if ts != tsExpected {
|
|
t.Fatalf("unexpected timestamp at timestamps[%d]; got %d; want %d\ntimestamps=\n%v\ntimestampsExpected=\n%v",
|
|
i, ts, tsExpected, timestamps, timestampsExpected)
|
|
}
|
|
vExpected := valuesExpected[i]
|
|
if math.IsNaN(v) {
|
|
if !math.IsNaN(vExpected) {
|
|
t.Fatalf("unexpected nan value at values[%d]; want %f\nvalues=\n%v\nvaluesExpected=\n%v",
|
|
i, vExpected, values, valuesExpected)
|
|
}
|
|
continue
|
|
}
|
|
if math.IsNaN(vExpected) {
|
|
if !math.IsNaN(v) {
|
|
t.Fatalf("unexpected value at values[%d]; got %f; want nan\nvalues=\n%v\nvaluesExpected=\n%v",
|
|
i, v, values, valuesExpected)
|
|
}
|
|
continue
|
|
}
|
|
// Compare values with the reduced precision because of different precision errors
|
|
// on different OS/architectures. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1738
|
|
// and https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1653
|
|
if math.Abs(v-vExpected)/math.Abs(vExpected) > 1e-13 {
|
|
t.Fatalf("unexpected value at values[%d]; got %v; want %v\nvalues=\n%v\nvaluesExpected=\n%v",
|
|
i, v, vExpected, values, valuesExpected)
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestRollupDelta(t *testing.T) {
|
|
f := func(prevValue, realPrevValue, realNextValue float64, values []float64, resultExpected float64) {
|
|
t.Helper()
|
|
rfa := &rollupFuncArg{
|
|
prevValue: prevValue,
|
|
values: values,
|
|
realPrevValue: realPrevValue,
|
|
realNextValue: realNextValue,
|
|
}
|
|
result := rollupDelta(rfa)
|
|
if math.IsNaN(result) {
|
|
if !math.IsNaN(resultExpected) {
|
|
t.Fatalf("unexpected result; got %v; want %v", result, resultExpected)
|
|
}
|
|
return
|
|
}
|
|
if result != resultExpected {
|
|
t.Fatalf("unexpected result; got %v; want %v", result, resultExpected)
|
|
}
|
|
}
|
|
f(nan, nan, nan, nil, nan)
|
|
|
|
// Small initial value
|
|
f(nan, nan, nan, []float64{1}, 1)
|
|
f(nan, nan, nan, []float64{10}, 10)
|
|
f(nan, nan, nan, []float64{100}, 100)
|
|
f(nan, nan, nan, []float64{1, 2, 3}, 3)
|
|
f(1, nan, nan, []float64{1, 2, 3}, 2)
|
|
f(nan, nan, nan, []float64{5, 6, 8}, 8)
|
|
f(2, nan, nan, []float64{5, 6, 8}, 6)
|
|
|
|
// Moderate initial value with zero delta after that.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/962
|
|
f(nan, nan, nan, []float64{100}, 100)
|
|
f(nan, nan, nan, []float64{100, 100}, 100)
|
|
|
|
// Big initial value with with zero delta after that.
|
|
f(nan, nan, nan, []float64{1000}, 0)
|
|
f(nan, nan, nan, []float64{1000, 1000}, 0)
|
|
|
|
// Big initial value with small delta after that.
|
|
f(nan, nan, nan, []float64{1000, 1001, 1002}, 2)
|
|
|
|
// Non-nan realPrevValue
|
|
f(nan, 900, nan, []float64{1000}, 100)
|
|
f(nan, 1000, nan, []float64{1000}, 0)
|
|
f(nan, 1100, nan, []float64{1000}, -100)
|
|
f(nan, 900, nan, []float64{1000, 1001, 1002}, 102)
|
|
|
|
// Small delta between realNextValue and values
|
|
f(nan, nan, 990, []float64{1000}, 0)
|
|
f(nan, nan, 1005, []float64{1000}, 0)
|
|
|
|
// Big delta between relaNextValue and values
|
|
f(nan, nan, 800, []float64{1000}, 1000)
|
|
f(nan, nan, 1300, []float64{1000}, 1000)
|
|
|
|
// Empty values
|
|
f(1, nan, nan, nil, 0)
|
|
f(100, nan, nan, nil, 0)
|
|
}
|