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app/vmselect/promql: fix duplicate time series
error on joins against time series filtered by values
This should prevent from `duplicate time series` errors when executing the following query: kube_pod_container_resource_requests{resource="cpu"} * on (namespace,pod) group_left() (kube_pod_status_phase{phase=~"Pending|Running"}==1) where `kube_pod_status_phase{phase=~"Pending|Running"}==1` filters out diplicate time series
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0ef7a05fc0
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@ -82,14 +82,35 @@ func newBinaryOpArithFunc(af func(left, right float64) float64) binaryOpFunc {
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func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOpFunc {
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return func(bfa *binaryOpFuncArg) ([]*timeseries, error) {
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isBool := bfa.be.Bool
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left, right, dst, err := adjustBinaryOpTags(bfa.be, bfa.left, bfa.right)
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left := bfa.left
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right := bfa.right
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switch bfa.be.Op {
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case "ifnot":
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left = removeEmptySeries(left)
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// Do not remove empty series on the right side,
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// so the left-side series could be matched against them.
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case "default":
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// Do not remove empty series on the left side,
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// so they could be replaced with the corresponding series on the right side.
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right = removeEmptySeries(right)
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if len(right) == 0 {
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return left, nil
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}
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default:
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left = removeEmptySeries(left)
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right = removeEmptySeries(right)
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}
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if len(left) == 0 || len(right) == 0 {
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return nil, nil
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}
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left, right, dst, err := adjustBinaryOpTags(bfa.be, left, right)
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if err != nil {
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return nil, err
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}
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if len(left) != len(right) || len(left) != len(dst) {
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logger.Panicf("BUG: len(left) must match len(right) and len(dst); got %d vs %d vs %d", len(left), len(right), len(dst))
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}
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isBool := bfa.be.Bool
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for i, tsLeft := range left {
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leftValues := tsLeft.Values
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rightValues := right[i].Values
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@ -206,7 +227,11 @@ func ensureSingleTimeseries(side string, be *metricsql.BinaryOpExpr, tss []*time
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func groupJoin(singleTimeseriesSide string, be *metricsql.BinaryOpExpr, rvsLeft, rvsRight, tssLeft, tssRight []*timeseries) ([]*timeseries, []*timeseries, error) {
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joinTags := be.JoinModifier.Args
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var m map[string]*timeseries
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type tsPair struct {
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left *timeseries
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right *timeseries
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}
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m := make(map[string]*tsPair)
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for _, tsLeft := range tssLeft {
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resetMetricGroupIfRequired(be, tsLeft)
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if len(tssRight) == 1 {
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@ -219,12 +244,8 @@ func groupJoin(singleTimeseriesSide string, be *metricsql.BinaryOpExpr, rvsLeft,
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// Hard case - right part contains multiple matching time series.
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// Verify it doesn't result in duplicate MetricName values after adding missing tags.
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if m == nil {
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m = make(map[string]*timeseries, len(tssRight))
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} else {
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for k := range m {
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delete(m, k)
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}
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for k := range m {
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delete(m, k)
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}
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bb := bbPool.Get()
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for _, tsRight := range tssRight {
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@ -232,20 +253,29 @@ func groupJoin(singleTimeseriesSide string, be *metricsql.BinaryOpExpr, rvsLeft,
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tsCopy.CopyFromShallowTimestamps(tsLeft)
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tsCopy.MetricName.SetTags(joinTags, &tsRight.MetricName)
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bb.B = marshalMetricTagsSorted(bb.B[:0], &tsCopy.MetricName)
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if tsExisting := m[string(bb.B)]; tsExisting != nil {
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// Try merging tsExisting with tsRight if they don't overlap.
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if mergeNonOverlappingTimeseries(tsExisting, tsRight) {
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continue
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pair, ok := m[string(bb.B)]
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if !ok {
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m[string(bb.B)] = &tsPair{
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left: &tsCopy,
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right: tsRight,
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}
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continue
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}
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// Try merging pair.right with tsRight if they don't overlap.
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var tmp timeseries
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tmp.CopyFromShallowTimestamps(pair.right)
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if !mergeNonOverlappingTimeseries(&tmp, tsRight) {
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return nil, nil, fmt.Errorf("duplicate time series on the %s side of `%s %s %s`: %s and %s",
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singleTimeseriesSide, be.Op, be.GroupModifier.AppendString(nil), be.JoinModifier.AppendString(nil),
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stringMetricTags(&tsExisting.MetricName), stringMetricTags(&tsRight.MetricName))
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stringMetricTags(&tmp.MetricName), stringMetricTags(&tsRight.MetricName))
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}
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m[string(bb.B)] = tsRight
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rvsLeft = append(rvsLeft, &tsCopy)
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rvsRight = append(rvsRight, tsRight)
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pair.right = &tmp
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}
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bbPool.Put(bb)
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for _, pair := range m {
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rvsLeft = append(rvsLeft, pair.left)
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rvsRight = append(rvsRight, pair.right)
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}
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}
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return rvsLeft, rvsRight, nil
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}
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@ -2685,6 +2685,17 @@ func TestExecSuccess(t *testing.T) {
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resultExpected := []netstorage.Result{r}
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f(q, resultExpected)
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})
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t.Run(`scalar default NaN`, func(t *testing.T) {
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t.Parallel()
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q := `time() > 1400 default (time() < -100)`
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r := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{nan, nan, nan, 1600, 1800, 2000},
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Timestamps: timestampsExpected,
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}
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resultExpected := []netstorage.Result{r}
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f(q, resultExpected)
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})
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t.Run(`vector default scalar`, func(t *testing.T) {
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t.Parallel()
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q := `sort_desc(union(
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@ -25,6 +25,7 @@ The following tip changes can be tested by building VictoriaMetrics components f
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* BUGFIX: [vmctl](https://docs.victoriametrics.com/vmctl.html): return non-zero exit code on error. This allows handling `vmctl` errors in shell scripts. Previously `vmctl` was returning 0 exit code on error. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2322).
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* BUGFIX: [vmagent](https://docs.victoriametrics.com/vmagent.html): properly show `scrape_timeout` and `scrape_interval` options at `http://vmagent:8429/config` page. Previously these options weren't displayed even if they were set in `-promscrape.config`.
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* BUGFIX: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): properly handle joins on time series filtered by values. For example, `kube_pod_container_resource_requests{resource="cpu"} * on (namespace,pod) group_left() (kube_pod_status_phase{phase=~"Pending|Running"}==1)`. This query may result in `duplicate time series on the right side` error even if `==1` filter leaves only a single time series per `(namespace,pod)` labels. Now such query is properly executed.
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## [v1.76.1](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.76.1)
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