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app/vmselect/promql: reset timeseries name on group_left and group_right as Prometheus does
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458d412bb6
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b08f085082
@ -322,6 +322,7 @@ func adjustBinaryOpTags(be *binaryOpExpr, left, right []*timeseries) ([]*timeser
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}
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src := tssRight[0]
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for _, ts := range tssLeft {
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resetMetricGroupIfRequired(be, ts)
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ts.MetricName.AddMissingTags(joinTags, &src.MetricName)
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rvsLeft = append(rvsLeft, ts)
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rvsRight = append(rvsRight, src)
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@ -332,6 +333,7 @@ func adjustBinaryOpTags(be *binaryOpExpr, left, right []*timeseries) ([]*timeser
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}
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src := tssLeft[0]
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for _, ts := range tssRight {
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resetMetricGroupIfRequired(be, ts)
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ts.MetricName.AddMissingTags(joinTags, &src.MetricName)
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rvsLeft = append(rvsLeft, src)
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rvsRight = append(rvsRight, ts)
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@ -1869,9 +1869,9 @@ 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(`vector * on(foo) group_left() duplicate_timeseries`, func(t *testing.T) {
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t.Run(`vector * on(foo) group_left() duplicate_nonoverlapping_timeseries`, func(t *testing.T) {
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t.Parallel()
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q := `label_set(time()/10, "foo", "bar") + on(foo) group_left() (
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q := `label_set(time()/10, "foo", "bar", "xx", "yy", "__name__", "qwert") + on(foo) group_left() (
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label_set(time() < 1400, "foo", "bar", "op", "le"),
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label_set(time() >= 1400, "foo", "bar", "op", "ge"),
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)`
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@ -1880,13 +1880,85 @@ func TestExecSuccess(t *testing.T) {
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Values: []float64{1100, 1320, 1540, 1760, 1980, 2200},
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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("foo"),
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Value: []byte("bar"),
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}}
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r1.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("xx"),
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Value: []byte("yy"),
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},
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}
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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(`vector * on(foo) group_left(__name__)`, func(t *testing.T) {
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t.Parallel()
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q := `label_set(time()/10, "foo", "bar", "xx", "yy", "__name__", "qwert") + on(foo) group_left(__name__)
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label_set(time(), "foo", "bar", "__name__", "aaa")`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{1100, 1320, 1540, 1760, 1980, 2200},
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Timestamps: timestampsExpected,
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}
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r1.MetricName.MetricGroup = []byte("aaa")
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r1.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("xx"),
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Value: []byte("yy"),
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},
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}
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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(`vector * on(foo) group_right()`, func(t *testing.T) {
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t.Parallel()
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q := `sort(label_set(time()/10, "foo", "bar", "xx", "yy", "__name__", "qwert") + on(foo) group_right(xx) (
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label_set(time(), "foo", "bar", "__name__", "aaa"),
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label_set(time()+3, "foo", "bar", "__name__", "yyy","ppp", "123"),
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))`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{1100, 1320, 1540, 1760, 1980, 2200},
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Timestamps: timestampsExpected,
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}
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r1.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("xx"),
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Value: []byte("yy"),
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},
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}
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r2 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{1103, 1323, 1543, 1763, 1983, 2203},
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Timestamps: timestampsExpected,
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}
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r2.MetricName.Tags = []storage.Tag{
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{
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Key: []byte("foo"),
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Value: []byte("bar"),
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},
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{
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Key: []byte("ppp"),
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Value: []byte("123"),
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},
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{
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Key: []byte("xx"),
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Value: []byte("yy"),
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},
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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(`vector * on() group_left scalar`, func(t *testing.T) {
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t.Parallel()
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q := `sort_desc((label_set(time(), "foo", "bar") or label_set(10, "foo", "qwert")) * on() group_left 2)`
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