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app/vmselect/promql: assume that time series value doesnt change during gaps when calculating increase() and delta()
This should remove unexpected spikes at the end of gaps. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/894
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@ -326,14 +326,29 @@ func getRollupFunc(funcName string) newRollupFunc {
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}
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type rollupFuncArg struct {
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prevValue float64
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prevTimestamp int64
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values []float64
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timestamps []int64
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// The value preceeding values if it fits staleness interval.
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prevValue float64
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// The timestamp for prevValue.
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prevTimestamp int64
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// Values that fit window ending at currTimestamp.
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values []float64
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// Timestamps for values.
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timestamps []int64
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// Actual value preceeding values without restrictions on staleness interval.
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realPrevValue float64
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// Current timestamp for rollup evaluation.
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currTimestamp int64
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idx int
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window int64
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// Index for the currently evaluated point relative to time range for query evaluation.
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idx int
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// Time window for rollup calculations.
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window int64
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tsm *timeseriesMap
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}
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@ -538,6 +553,11 @@ func (rc *rollupConfig) doInternal(dstValues []float64, tsm *timeseriesMap, valu
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rfa.values = nil
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rfa.timestamps = nil
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}
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if i > 0 {
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rfa.realPrevValue = values[i-1]
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} else {
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rfa.realPrevValue = nan
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}
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rfa.currTimestamp = tEnd
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value := rc.Func(rfa)
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rfa.idx++
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@ -1244,6 +1264,12 @@ func rollupDelta(rfa *rollupFuncArg) float64 {
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if len(values) == 0 {
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return nan
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}
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if !math.IsNaN(rfa.realPrevValue) {
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// Assume that the value didn't change during the current gap.
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// This should fix high delta() and increase() values at the end of gaps.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/894
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return values[len(values)-1] - rfa.realPrevValue
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}
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// Assume that the previous non-existing value was 0
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// only if the first value doesn't exceed too much the delta with the next value.
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//
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@ -1103,11 +1103,12 @@ func testRowsEqual(t *testing.T, values []float64, timestamps []int64, valuesExp
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}
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func TestRollupDelta(t *testing.T) {
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f := func(prevValue float64, values []float64, resultExpected float64) {
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f := func(prevValue, realPrevValue float64, values []float64, resultExpected float64) {
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t.Helper()
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rfa := &rollupFuncArg{
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prevValue: prevValue,
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values: values,
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prevValue: prevValue,
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values: values,
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realPrevValue: realPrevValue,
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}
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result := rollupDelta(rfa)
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if math.IsNaN(result) {
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@ -1120,22 +1121,26 @@ func TestRollupDelta(t *testing.T) {
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t.Fatalf("unexpected result; got %v; want %v", result, resultExpected)
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}
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}
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f(nan, nil, nan)
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f(nan, nan, nil, nan)
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// Small initial value
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f(nan, []float64{1}, 1)
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f(nan, []float64{10}, 10)
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f(nan, []float64{100}, 100)
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f(nan, []float64{1, 2, 3}, 3)
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f(1, []float64{1, 2, 3}, 2)
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f(nan, []float64{5, 6, 8}, 8)
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f(2, []float64{5, 6, 8}, 6)
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f(nan, nan, []float64{1}, 1)
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f(nan, nan, []float64{10}, 10)
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f(nan, nan, []float64{100}, 100)
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f(nan, nan, []float64{1, 2, 3}, 3)
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f(1, nan, []float64{1, 2, 3}, 2)
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f(nan, nan, []float64{5, 6, 8}, 8)
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f(2, nan, []float64{5, 6, 8}, 6)
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// Too big initial value must be skipped.
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f(nan, []float64{1000}, 0)
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f(nan, []float64{1000, 1001, 1002}, 2)
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f(nan, nan, []float64{1000}, 0)
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f(nan, nan, []float64{1000, 1001, 1002}, 2)
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// Delta calculations against non-nan realPrevValue
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f(nan, 900, []float64{1000}, 100)
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f(nan, 900, []float64{1000, 1001, 1002}, 102)
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// Empty values
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f(1, nil, 0)
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f(100, nil, 0)
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f(1, nan, nil, 0)
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f(100, nan, nil, 0)
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}
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@ -15,6 +15,7 @@
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* BUGFIX: do not return data points in the end of the selected time range for time series ending in the middle of the selected time range.
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See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/887 and https://github.com/VictoriaMetrics/VictoriaMetrics/issues/845
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* BUGFIX: remove spikes at the end of time series gaps for `increase()` or `delta()` functions. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/894
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* BUGFIX: vminsert: properly return HTTP 503 status code when all the vmstorage nodes are unavailable. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/896
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