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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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app/vmselect/promql: return non-empty value from rate_over_sum(m[d])
even if a single data point is located in the given [d]
window
Just divide the data point value by the window duration in this case.
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717c554fb0
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@ -325,7 +325,7 @@ type rollupFuncArg struct {
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currTimestamp int64
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idx int
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step int64
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window int64
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tsm *timeseriesMap
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}
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@ -337,7 +337,7 @@ func (rfa *rollupFuncArg) reset() {
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rfa.timestamps = nil
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rfa.currTimestamp = 0
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rfa.idx = 0
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rfa.step = 0
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rfa.window = 0
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rfa.tsm = nil
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}
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@ -481,7 +481,7 @@ func (rc *rollupConfig) doInternal(dstValues []float64, tsm *timeseriesMap, valu
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}
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rfa := getRollupFuncArg()
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rfa.idx = 0
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rfa.step = rc.Step
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rfa.window = window
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rfa.tsm = tsm
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i := 0
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@ -1080,17 +1080,7 @@ func rollupSum(rfa *rollupFuncArg) float64 {
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func rollupRateOverSum(rfa *rollupFuncArg) float64 {
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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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prevTimestamp := rfa.prevTimestamp
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if math.IsNaN(rfa.prevValue) {
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if len(timestamps) == 0 {
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return nan
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}
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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(timestamps) == 0 {
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if math.IsNaN(rfa.prevValue) {
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return nan
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@ -1098,11 +1088,14 @@ func rollupRateOverSum(rfa *rollupFuncArg) float64 {
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// Assume that the value didn't change since rfa.prevValue.
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return 0
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}
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dt := rfa.window
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if !math.IsNaN(rfa.prevValue) {
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dt = timestamps[len(timestamps)-1] - rfa.prevTimestamp
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}
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sum := float64(0)
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for _, v := range values {
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for _, v := range rfa.values {
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sum += v
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}
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dt := timestamps[len(timestamps)-1] - prevTimestamp
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return sum / (float64(dt) / 1e3)
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}
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@ -1486,7 +1479,7 @@ func getCandlestickValues(rfa *rollupFuncArg) []float64 {
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}
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func getFirstValueForCandlestick(rfa *rollupFuncArg) float64 {
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if rfa.prevTimestamp+rfa.step >= rfa.currTimestamp {
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if rfa.prevTimestamp+rfa.window >= rfa.currTimestamp {
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return rfa.prevValue
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}
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return nan
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@ -174,6 +174,7 @@ func testRollupFunc(t *testing.T, funcName string, args []interface{}, meExpecte
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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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@ -393,7 +394,7 @@ func TestRollupNewRollupFuncSuccess(t *testing.T) {
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f("descent_over_time", 231)
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f("timestamp", 0.13)
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f("mode_over_time", 34)
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f("rate_over_sum", 3536)
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f("rate_over_sum", 4520)
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}
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func TestRollupNewRollupFuncError(t *testing.T) {
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@ -978,7 +979,7 @@ 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, 2870.967741935484, 3240, 4059.523809523809, 6200}
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valuesExpected := []float64{nan, 1262.5, 3187.5, 4059.523809523809, 6200}
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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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