app/vmselect/promql: properly return q1 series from q1 ifnot q2 when q2 returns nothing

This commit is contained in:
Aliaksandr Valialkin 2022-07-18 14:23:07 +03:00
parent f933d5f142
commit d920b0afec
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GPG Key ID: A72BEC6CD3D0DED1
3 changed files with 140 additions and 63 deletions

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@ -36,9 +36,9 @@ var binaryOpFuncs = map[string]binaryOpFunc{
"unless": binaryOpUnless,
// New ops
"if": newBinaryOpArithFunc(binaryop.If),
"ifnot": newBinaryOpArithFunc(binaryop.Ifnot),
"default": newBinaryOpArithFunc(binaryop.Default),
"if": binaryOpIf,
"ifnot": binaryOpIfnot,
"default": binaryOpDefault,
}
func getBinaryOpFunc(op string) binaryOpFunc {
@ -86,17 +86,6 @@ func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOp
right := bfa.right
op := bfa.be.Op
switch true {
case op == "ifnot":
left = removeEmptySeries(left)
// Do not remove empty series on the right side,
// so the left-side series could be matched against them.
case op == "default":
// Do not remove empty series on the left and the right side,
// since this may lead to missing result:
// - if empty time series are removed on the left side,
// then they won't be substituted by time series from the right side.
// - if empty time series are removed on the right side,
// then this may result in missing time series from the left side.
case metricsql.IsBinaryOpCmp(op):
// Do not remove empty series for comparison operations,
// since this may lead to missing result.
@ -136,7 +125,7 @@ func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOp
func adjustBinaryOpTags(be *metricsql.BinaryOpExpr, left, right []*timeseries) ([]*timeseries, []*timeseries, []*timeseries, error) {
if len(be.GroupModifier.Op) == 0 && len(be.JoinModifier.Op) == 0 {
if isScalar(left) && be.Op != "default" && be.Op != "if" && be.Op != "ifnot" {
if isScalar(left) {
// Fast path: `scalar op vector`
rvsLeft := make([]*timeseries, len(right))
tsLeft := left[0]
@ -324,14 +313,23 @@ func resetMetricGroupIfRequired(be *metricsql.BinaryOpExpr, ts *timeseries) {
// Do not reset MetricGroup for non-boolean `compare` binary ops like Prometheus does.
return
}
switch be.Op {
case "default", "if", "ifnot":
// Do not reset MetricGroup for these ops.
return
}
ts.MetricName.ResetMetricGroup()
}
func binaryOpIf(bfa *binaryOpFuncArg) ([]*timeseries, error) {
mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
var rvs []*timeseries
for k, tssLeft := range mLeft {
tssRight := seriesByKey(mRight, k)
if tssRight == nil {
continue
}
tssLeft = addRightNaNsToLeft(tssLeft, tssRight)
rvs = append(rvs, tssLeft...)
}
return rvs, nil
}
func binaryOpAnd(bfa *binaryOpFuncArg) ([]*timeseries, error) {
mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
var rvs []*timeseries
@ -340,7 +338,13 @@ func binaryOpAnd(bfa *binaryOpFuncArg) ([]*timeseries, error) {
if tssLeft == nil {
continue
}
// Add gaps to tssLeft if there are gaps at tssRight.
tssLeft = addRightNaNsToLeft(tssLeft, tssRight)
rvs = append(rvs, tssLeft...)
}
return rvs, nil
}
func addRightNaNsToLeft(tssLeft, tssRight []*timeseries) []*timeseries {
for _, tsLeft := range tssLeft {
valuesLeft := tsLeft.Values
for i := range valuesLeft {
@ -356,8 +360,25 @@ func binaryOpAnd(bfa *binaryOpFuncArg) ([]*timeseries, error) {
}
}
}
tssLeft = removeEmptySeries(tssLeft)
return removeEmptySeries(tssLeft)
}
func binaryOpDefault(bfa *binaryOpFuncArg) ([]*timeseries, error) {
mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
var rvs []*timeseries
if len(mLeft) == 0 {
for _, tss := range mRight {
rvs = append(rvs, tss...)
}
return rvs, nil
}
for k, tssLeft := range mLeft {
rvs = append(rvs, tssLeft...)
tssRight := seriesByKey(mRight, k)
if tssRight == nil {
continue
}
fillLeftNaNsWithRightValues(tssLeft, tssRight)
}
return rvs, nil
}
@ -374,6 +395,12 @@ func binaryOpOr(bfa *binaryOpFuncArg) ([]*timeseries, error) {
rvs = append(rvs, tssRight...)
continue
}
fillLeftNaNsWithRightValues(tssLeft, tssRight)
}
return rvs, nil
}
func fillLeftNaNsWithRightValues(tssLeft, tssRight []*timeseries) {
// Fill gaps in tssLeft with values from tssRight as Prometheus does.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/552
for _, tsLeft := range tssLeft {
@ -392,6 +419,19 @@ func binaryOpOr(bfa *binaryOpFuncArg) ([]*timeseries, error) {
}
}
}
func binaryOpIfnot(bfa *binaryOpFuncArg) ([]*timeseries, error) {
mLeft, mRight := createTimeseriesMapByTagSet(bfa.be, bfa.left, bfa.right)
var rvs []*timeseries
for k, tssLeft := range mLeft {
tssRight := seriesByKey(mRight, k)
if tssRight == nil {
rvs = append(rvs, tssLeft...)
continue
}
tssLeft = addLeftNaNsIfNoRightNaNs(tssLeft, tssRight)
rvs = append(rvs, tssLeft...)
}
return rvs, nil
}
@ -404,7 +444,13 @@ func binaryOpUnless(bfa *binaryOpFuncArg) ([]*timeseries, error) {
rvs = append(rvs, tssLeft...)
continue
}
// Add gaps to tssLeft if the are no gaps at tssRight.
tssLeft = addLeftNaNsIfNoRightNaNs(tssLeft, tssRight)
rvs = append(rvs, tssLeft...)
}
return rvs, nil
}
func addLeftNaNsIfNoRightNaNs(tssLeft, tssRight []*timeseries) []*timeseries {
for _, tsLeft := range tssLeft {
valuesLeft := tsLeft.Values
for i := range valuesLeft {
@ -416,10 +462,24 @@ func binaryOpUnless(bfa *binaryOpFuncArg) ([]*timeseries, error) {
}
}
}
tssLeft = removeEmptySeries(tssLeft)
rvs = append(rvs, tssLeft...)
return removeEmptySeries(tssLeft)
}
return rvs, nil
func seriesByKey(m map[string][]*timeseries, key string) []*timeseries {
tss := m[key]
if tss != nil {
return tss
}
if len(m) != 1 {
return nil
}
for _, tss := range m {
if isScalar(tss) {
return tss
}
return nil
}
return nil
}
func createTimeseriesMapByTagSet(be *metricsql.BinaryOpExpr, left, right []*timeseries) (map[string][]*timeseries, map[string][]*timeseries) {

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@ -2813,7 +2813,12 @@ func TestExecSuccess(t *testing.T) {
t.Run(`scalar default vector1`, func(t *testing.T) {
t.Parallel()
q := `time() > 1400 default label_set(123, "foo", "bar")`
resultExpected := []netstorage.Result{}
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{nan, nan, nan, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`scalar default vector2`, func(t *testing.T) {
@ -6102,7 +6107,18 @@ func TestExecSuccess(t *testing.T) {
t.Run(`ifnot-no-matching-timeseries`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") ifnot label_set(time() > 1400, "x", "y")`
resultExpected := []netstorage.Result{}
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1000, 1200, 1400, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{
{
Key: []byte("foo"),
Value: []byte("bar"),
},
}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`quantile(-2)`, func(t *testing.T) {

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@ -16,6 +16,7 @@ The following tip changes can be tested by building VictoriaMetrics components f
## tip
* BUGFIX: [vmagent](https://docs.victoriametrics.com/vmagent.html): properly assume role with AWS ECS credentials. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2875). Thanks to @transacid for [the fix](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2876).
* BUGFIX: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): return series from `q1` if `q2` doesn't return matching time series in the query `q1 ifnot q2`. Previously series from `q1` weren't returned in this case.
## [v1.79.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.79.0)