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app/vmselect/promql: adjust rollup_candlestick calculations to the exepcted results
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/309
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@ -4708,25 +4708,25 @@ func TestExecSuccess(t *testing.T) {
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}}
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r2 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{0.85, 0.15, 0.43, 0.76, 0.47, 0.21},
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Values: []float64{0.1, 0.04, 0.49, 0.46, 0.57, 0.92},
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Timestamps: timestampsExpected,
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}
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r2.MetricName.Tags = []storage.Tag{{
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Key: []byte("rollup"),
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Value: []byte("open"),
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Value: []byte("close"),
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}}
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r3 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{0.32, 0.82, 0.13, 0.28, 0.86, 0.57},
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Values: []float64{0.9, 0.32, 0.82, 0.13, 0.28, 0.86},
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Timestamps: timestampsExpected,
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}
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r3.MetricName.Tags = []storage.Tag{{
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Key: []byte("rollup"),
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Value: []byte("close"),
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Value: []byte("open"),
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}}
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r4 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{0.85, 0.94, 0.97, 0.93, 0.98, 0.92},
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Values: []float64{0.9, 0.94, 0.97, 0.93, 0.98, 0.92},
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Timestamps: timestampsExpected,
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}
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r4.MetricName.Tags = []storage.Tag{{
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@ -259,10 +259,10 @@ func getRollupConfigs(name string, rf rollupFunc, expr metricsql.Expr, start, en
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}
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rcs = appendRollupConfigs(rcs)
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case "rollup_candlestick":
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rcs = append(rcs, newRollupConfig(rollupFirst, "open"))
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rcs = append(rcs, newRollupConfig(rollupLast, "close"))
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rcs = append(rcs, newRollupConfig(rollupMin, "low"))
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rcs = append(rcs, newRollupConfig(rollupMax, "high"))
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rcs = append(rcs, newRollupConfig(rollupOpen, "open"))
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rcs = append(rcs, newRollupConfig(rollupClose, "close"))
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rcs = append(rcs, newRollupConfig(rollupLow, "low"))
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rcs = append(rcs, newRollupConfig(rollupHigh, "high"))
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case "aggr_over_time":
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aggrFuncNames, err := getRollupAggrFuncNames(expr)
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if err != nil {
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@ -1419,6 +1419,74 @@ func rollupResets(rfa *rollupFuncArg) float64 {
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return float64(n)
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}
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// getCandlestickValues returns a subset of rfa.values suitable for rollup_candlestick
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//
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/309 for details.
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func getCandlestickValues(rfa *rollupFuncArg) []float64 {
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currTimestamp := rfa.currTimestamp
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timestamps := rfa.timestamps
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for len(timestamps) > 0 && timestamps[len(timestamps)-1] >= currTimestamp {
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timestamps = timestamps[:len(timestamps)-1]
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}
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if len(timestamps) == 0 {
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return nil
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}
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return rfa.values[:len(timestamps)]
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}
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func rollupOpen(rfa *rollupFuncArg) float64 {
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if !math.IsNaN(rfa.prevValue) {
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return rfa.prevValue
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}
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values := getCandlestickValues(rfa)
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if len(values) == 0 {
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return nan
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}
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return values[0]
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}
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func rollupClose(rfa *rollupFuncArg) float64 {
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values := getCandlestickValues(rfa)
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if len(values) == 0 {
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return rfa.prevValue
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}
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return values[len(values)-1]
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}
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func rollupHigh(rfa *rollupFuncArg) float64 {
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values := getCandlestickValues(rfa)
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max := rfa.prevValue
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if math.IsNaN(max) {
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if len(values) == 0 {
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return nan
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}
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max = values[0]
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}
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for _, v := range values {
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if v > max {
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max = v
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}
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}
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return max
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}
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func rollupLow(rfa *rollupFuncArg) float64 {
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values := getCandlestickValues(rfa)
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min := rfa.prevValue
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if math.IsNaN(min) {
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if len(values) == 0 {
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return nan
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}
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min = values[0]
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}
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for _, v := range values {
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if v < min {
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min = v
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}
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}
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return min
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}
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func rollupFirst(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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