mirror of
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app/vmselect/promql: properly handle scalar default vector
, scalar if vector
and scalar ifnot vector
queries
Previously `vector` time series could be unexpectedly returned from such queries
This commit is contained in:
parent
d1a9fac894
commit
25fe83577d
@ -136,7 +136,7 @@ func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOp
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func adjustBinaryOpTags(be *metricsql.BinaryOpExpr, left, right []*timeseries) ([]*timeseries, []*timeseries, []*timeseries, error) {
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if len(be.GroupModifier.Op) == 0 && len(be.JoinModifier.Op) == 0 {
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if isScalar(left) {
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if isScalar(left) && be.Op != "default" && be.Op != "if" && be.Op != "ifnot" {
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// Fast path: `scalar op vector`
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rvsLeft := make([]*timeseries, len(right))
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tsLeft := left[0]
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@ -1845,10 +1845,10 @@ func TestExecSuccess(t *testing.T) {
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})
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t.Run(`drop_common_labels(multi_series)`, func(t *testing.T) {
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t.Parallel()
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q := `drop_common_labels((
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q := `sort_desc(drop_common_labels((
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label_set(time(), "foo", "bar", "__name__", "xxx", "q", "we"),
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label_set(time()/10, "foo", "bar", "__name__", "yyy"),
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))`
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)))`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{1000, 1200, 1400, 1600, 1800, 2000},
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@ -1870,10 +1870,10 @@ func TestExecSuccess(t *testing.T) {
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})
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t.Run(`drop_common_labels(multi_args)`, func(t *testing.T) {
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t.Parallel()
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q := `drop_common_labels(
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q := `sort(drop_common_labels(
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label_set(time(), "foo", "bar", "__name__", "xxx", "q", "we"),
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label_set(time()/10, "foo", "bar", "__name__", "xxx"),
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)`
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))`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{100, 120, 140, 160, 180, 200},
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@ -2630,7 +2630,7 @@ func TestExecSuccess(t *testing.T) {
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q := `1 != nan`
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r := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{1, 1, 1, 1, 1, 1},
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Values: []float64{1, 1, 1, 1, 1, 1},
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Timestamps: timestampsExpected,
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}
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resultExpected := []netstorage.Result{r}
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@ -2751,6 +2751,37 @@ 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 scalar_from_vector`, func(t *testing.T) {
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t.Parallel()
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q := `time() > 1400 default scalar(label_set(123, "foo", "bar"))`
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r := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{123, 123, 123, 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(`scalar default vector1`, func(t *testing.T) {
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t.Parallel()
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q := `time() > 1400 default label_set(123, "foo", "bar")`
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resultExpected := []netstorage.Result{}
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f(q, resultExpected)
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})
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t.Run(`scalar default vector2`, func(t *testing.T) {
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t.Parallel()
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q := `time() > 1400 default (
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label_set(123, "foo", "bar"),
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label_set(456, "__name__", "xxx"),
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)`
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r := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{456, 456, 456, 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(`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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@ -5913,6 +5944,80 @@ func TestExecSuccess(t *testing.T) {
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resultExpected := []netstorage.Result{r1}
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f(q, resultExpected)
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})
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t.Run(`vector2 if vector1`, func(t *testing.T) {
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t.Parallel()
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q := `(
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label_set(time()/10, "x", "y"),
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label_set(time(), "foo", "bar", "__name__", "x"),
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) if (
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label_set(time()>1400, "foo", "bar"),
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)`
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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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r.MetricName.MetricGroup = []byte("x")
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r.MetricName.Tags = []storage.Tag{{
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Key: []byte("foo"),
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Value: []byte("bar"),
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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(`vector2 if vector2`, func(t *testing.T) {
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t.Parallel()
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q := `sort((
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label_set(time()/10, "x", "y"),
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label_set(time(), "foo", "bar", "__name__", "x"),
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) if (
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label_set(time()>1400, "foo", "bar"),
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label_set(time()<1400, "x", "y"),
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))`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{100, 120, nan, nan, nan, nan},
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Timestamps: timestampsExpected,
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}
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r1.MetricName.Tags = []storage.Tag{{
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Key: []byte("x"),
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Value: []byte("y"),
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}}
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r2 := 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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r2.MetricName.MetricGroup = []byte("x")
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r2.MetricName.Tags = []storage.Tag{{
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Key: []byte("foo"),
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Value: []byte("bar"),
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}}
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resultExpected := []netstorage.Result{r1, r2}
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f(q, resultExpected)
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})
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t.Run(`scalar if vector1`, func(t *testing.T) {
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t.Parallel()
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q := `time() if (
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label_set(123, "foo", "bar"),
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)`
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resultExpected := []netstorage.Result{}
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f(q, resultExpected)
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})
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t.Run(`scalar if vector2`, func(t *testing.T) {
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t.Parallel()
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q := `time() if (
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label_set(123, "foo", "bar"),
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alias(time() > 1400, "xxx"),
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)`
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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(`if-default`, func(t *testing.T) {
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t.Parallel()
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q := `time() if time() > 1400 default -time()`
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@ -28,6 +28,7 @@ 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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* BUGFIX: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): properly handle `scalar default vector`, `scalar if vector` and `scalar ifnot vector` queries. Previously such queries could return unexpected results from the `vector` part.
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## [v1.76.1](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.76.1)
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