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app/vmselect/promql: adjust integrate()
calculations to be more similar to calculations from InfluxDB: attempt #2
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/701
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@ -1683,28 +1683,21 @@ func rollupDistinct(rfa *rollupFuncArg) float64 {
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}
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func rollupIntegrate(rfa *rollupFuncArg) float64 {
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prevTimestamp := rfa.prevTimestamp
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// There is no need in handling NaNs here, since they must be cleaned up
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// before calling rollup funcs.
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values := rfa.values
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timestamps := rfa.timestamps
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prevValue := rfa.prevValue
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prevTimestamp := rfa.currTimestamp - rfa.window
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if math.IsNaN(prevValue) {
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if len(values) == 0 {
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if math.IsNaN(rfa.prevValue) {
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return nan
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}
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return 0
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}
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prevValue := rfa.prevValue
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if math.IsNaN(prevValue) {
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prevValue = values[0]
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prevTimestamp = timestamps[0]
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values = values[1:]
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timestamps = timestamps[1:]
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}
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if len(values) == 0 {
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return 0
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}
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var sum float64
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for i, v := range values {
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@ -1714,6 +1707,8 @@ func rollupIntegrate(rfa *rollupFuncArg) float64 {
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prevTimestamp = timestamp
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prevValue = v
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}
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dt := float64(rfa.currTimestamp - prevTimestamp) / 1e3
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sum += prevValue * dt
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return sum
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}
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@ -431,7 +431,7 @@ func TestRollupNewRollupFuncSuccess(t *testing.T) {
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f("stdvar_over_time", 945.7430555555555)
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f("first_over_time", 123)
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f("last_over_time", 34)
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f("integrate", 5.237)
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f("integrate", 0.817)
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f("distinct_over_time", 8)
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f("ideriv", 0)
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f("decreases_over_time", 5)
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@ -970,7 +970,7 @@ func TestRollupFuncsNoWindow(t *testing.T) {
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}
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rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
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values := rc.Do(nil, testValues, testTimestamps)
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valuesExpected := []float64{nan, 2.064, 1.677, 1.156, 0.34}
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valuesExpected := []float64{nan, 2.148, 1.593, 1.156, 1.36}
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timestampsExpected := []int64{0, 40, 80, 120, 160}
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testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
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})
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