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app/vmselect/promql: skip rate calculation for the first point on time series
This commit is contained in:
Aliaksandr Valialkin
parent
7d8d921db9
commit
7c6df1e51d
@ -25,9 +25,9 @@ var rollupFuncs = map[string]newRollupFunc{
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"holt_winters": newRollupHoltWinters,
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"idelta": newRollupFuncOneArg(rollupIdelta),
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"increase": newRollupFuncOneArg(rollupIncrease), // + rollupFuncsRemoveCounterResets
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"irate": newRollupFuncOneArg(rollupIrate), // + rollupFuncsRemoveCounterResets
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"irate": newRollupFuncOneArg(rollupIderiv), // + rollupFuncsRemoveCounterResets
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"predict_linear": newRollupPredictLinear,
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"rate": newRollupFuncOneArg(rollupRate), // + rollupFuncsRemoveCounterResets
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"rate": newRollupFuncOneArg(rollupDerivFast), // + rollupFuncsRemoveCounterResets
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"resets": newRollupFuncOneArg(rollupResets),
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"avg_over_time": newRollupFuncOneArg(rollupAvg),
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"min_over_time": newRollupFuncOneArg(rollupMin),
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@ -115,10 +115,9 @@ type rollupFuncArg struct {
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values []float64
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timestamps []int64
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currTimestamp int64
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idx int
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step int64
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scrapeInterval int64
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currTimestamp int64
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idx int
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step int64
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// Real previous value even if it is located too far from the current window.
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// It matches prevValue if prevValue is not nan.
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@ -135,7 +134,6 @@ func (rfa *rollupFuncArg) reset() {
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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.scrapeInterval = 0
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rfa.realPrevValue = nan
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rfa.tsm = nil
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}
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@ -276,7 +274,6 @@ func (rc *rollupConfig) doInternal(dstValues []float64, tsm *timeseriesMap, valu
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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.scrapeInterval = scrapeInterval
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rfa.realPrevValue = nan
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rfa.tsm = tsm
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@ -865,7 +862,10 @@ func rollupDeltaInternal(rfa *rollupFuncArg, canUseRealPrevValue bool) float64 {
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return nan
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}
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// Assume that the previous non-existing value was 0.
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prevValue = getPrevValue(rfa, canUseRealPrevValue)
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prevValue = 0
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if canUseRealPrevValue && !math.IsNaN(rfa.prevValue) {
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prevValue = rfa.prevValue
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}
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}
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if len(values) == 0 {
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// Assume that the value didn't change on the given interval.
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@ -906,14 +906,6 @@ func rollupDerivSlow(rfa *rollupFuncArg) float64 {
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}
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func rollupDerivFast(rfa *rollupFuncArg) float64 {
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return rollupDerivFastInternal(rfa, false)
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}
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func rollupRate(rfa *rollupFuncArg) float64 {
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return rollupDerivFastInternal(rfa, true)
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}
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func rollupDerivFastInternal(rfa *rollupFuncArg, canUseRealPrevValue bool) 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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@ -924,9 +916,21 @@ func rollupDerivFastInternal(rfa *rollupFuncArg, canUseRealPrevValue bool) float
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if len(values) == 0 {
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return nan
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}
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// Assume that the value changed from 0 to the current value during rfa.scrapeInterval
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prevValue = getPrevValue(rfa, canUseRealPrevValue)
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prevTimestamp = timestamps[0] - rfa.scrapeInterval
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if len(values) == 1 {
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// It is impossible to determine the duration during which the value changed
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// from 0 to the current value.
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// The following attempts didn't work well:
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// - using scrape interval as the duration. It fails on Prometheus restarts when it
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// skips scraping for the counter. This results in too high rate() value for the first point
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// after Prometheus restarts.
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// - using window or step as the duration. It results in too small rate() values for the first
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// points of time series.
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//
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// So just return nan
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return nan
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}
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prevValue = values[0]
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prevTimestamp = timestamps[0]
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} else if len(values) == 0 {
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// Assume that the value didn't change on the given interval.
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return 0
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@ -939,14 +943,6 @@ func rollupDerivFastInternal(rfa *rollupFuncArg, canUseRealPrevValue bool) float
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}
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func rollupIderiv(rfa *rollupFuncArg) float64 {
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return rollupIderivInternal(rfa, false)
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}
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func rollupIrate(rfa *rollupFuncArg) float64 {
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return rollupIderivInternal(rfa, true)
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}
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func rollupIderivInternal(rfa *rollupFuncArg, canUseRealPrevValue bool) 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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@ -955,14 +951,20 @@ func rollupIderivInternal(rfa *rollupFuncArg, canUseRealPrevValue bool) float64
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if len(values) == 0 {
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return nan
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}
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prevValue := rfa.prevValue
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prevTimestamp := rfa.prevTimestamp
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if math.IsNaN(prevValue) {
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// Assume that the value changed from 0 to the current value during rfa.scrapeInterval.
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prevValue = getPrevValue(rfa, canUseRealPrevValue)
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prevTimestamp = timestamps[0] - rfa.scrapeInterval
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if math.IsNaN(rfa.prevValue) {
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// It is impossible to determine the duration during which the value changed
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// from 0 to the current value.
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// The following attempts didn't work well:
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// - using scrape interval as the duration. It fails on Prometheus restarts when it
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// skips scraping for the counter. This results in too high rate() value for the first point
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// after Prometheus restarts.
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// - using window or step as the duration. It results in too small rate() values for the first
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// points of time series.
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//
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// So just return nan
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return nan
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}
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return (values[0] - prevValue) / (float64(timestamps[0]-prevTimestamp) * 1e-3)
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return (values[0] - rfa.prevValue) / (float64(timestamps[0]-rfa.prevTimestamp) * 1e-3)
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}
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vEnd := values[len(values)-1]
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tEnd := timestamps[len(timestamps)-1]
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@ -989,14 +991,6 @@ func rollupIderivInternal(rfa *rollupFuncArg, canUseRealPrevValue bool) float64
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return dv / (float64(dt) * 1e-3)
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}
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func getPrevValue(rfa *rollupFuncArg, canUseRealPrevValue bool) float64 {
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prevValue := rfa.realPrevValue
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if !canUseRealPrevValue || math.IsNaN(prevValue) {
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return 0
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}
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return prevValue
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}
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func rollupLifetime(rfa *rollupFuncArg) float64 {
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// Calculate the duration between the first and the last data points.
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timestamps := rfa.timestamps
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@ -42,14 +42,13 @@ func TestRollupIderivDuplicateTimestamps(t *testing.T) {
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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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scrapeInterval: 200,
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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 n != 75 {
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t.Fatalf("unexpected value; got %v; want %v", n, 75)
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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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@ -323,11 +322,11 @@ func TestRollupNewRollupFuncSuccess(t *testing.T) {
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f("changes", 11)
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f("delta", 34)
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f("deriv", -266.85860231406065)
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f("deriv_fast", 272)
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f("deriv_fast", -712)
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f("idelta", 0)
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f("increase", 398)
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f("irate", 0)
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f("rate", 3184)
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f("rate", 2200)
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f("resets", 5)
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f("avg_over_time", 47.083333333333336)
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f("min_over_time", 12)
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@ -831,7 +830,7 @@ 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, nan, 10250, 0, -8900, 0}
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valuesExpected := []float64{nan, nan, nan, 0, -8900, 0}
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timestampsExpected := []int64{0, 4, 8, 12, 16, 20}
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testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
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})
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