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app/vmselect/promql: take into account the previous point when calculating max_over_time and min_over_time

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This lines up with `first_over_time` function used in `rollup_candlestick`, so `rollup=low` always returns
the minimum value.

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/204
This commit is contained in:
Aliaksandr Valialkin 2019-10-08 12:28:06 +03:00
parent 95d0f1bfd1
commit a5302a6651
3 changed files with 19 additions and 10 deletions
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4
app/vmselect/promql/exec_test.go
View file

@ -3566,7 +3566,7 @@ func TestExecSuccess(t *testing.T) {
}}
r4 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{0.85, 0.94, 0.97, 0.93, 0.98, 0.92},
Values: []float64{0.9, 0.94, 0.97, 0.93, 0.98, 0.92},
Timestamps: timestampsExpected,
}
r4.MetricName.Tags = []storage.Tag{{
@ -3614,7 +3614,7 @@ func TestExecSuccess(t *testing.T) {
q := `sort(rollup(time()[:50s]))`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{850, 1050, 1250, 1450, 1650, 1850},
Values: []float64{800, 1000, 1200, 1400, 1600, 1800},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{{

23
app/vmselect/promql/rollup.go
View file

@ -533,11 +533,14 @@ func rollupAvg(rfa *rollupFuncArg) float64 {
func rollupMin(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleaned up
// before calling rollup funcs.
minValue := rfa.prevValue
values := rfa.values
if len(values) == 0 {
return rfa.prevValue
if math.IsNaN(minValue) {
if len(values) == 0 {
return nan
}
minValue = values[0]
}
minValue := values[0]
for _, v := range values {
if v < minValue {
minValue = v
@ -549,11 +552,14 @@ func rollupMin(rfa *rollupFuncArg) float64 {
func rollupMax(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleaned up
// before calling rollup funcs.
maxValue := rfa.prevValue
values := rfa.values
if len(values) == 0 {
return rfa.prevValue
if math.IsNaN(maxValue) {
if len(values) == 0 {
return nan
}
maxValue = values[0]
}
maxValue := values[0]
for _, v := range values {
if v > maxValue {
maxValue = v
@ -567,7 +573,10 @@ func rollupSum(rfa *rollupFuncArg) float64 {
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return rfa.prevValue
if math.IsNaN(rfa.prevValue) {
return nan
}
return 0
}
var sum float64
for _, v := range values {

2
app/vmselect/promql/rollup_test.go
View file

@ -527,7 +527,7 @@ func TestRollupFuncsNoWindow(t *testing.T) {
}
rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
values := rc.Do(nil, testValues, testTimestamps)
valuesExpected := []float64{nan, 21, 12, 32, 34}
valuesExpected := []float64{nan, 21, 12, 12, 34}
timestampsExpected := []int64{0, 40, 80, 120, 160}
testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
})