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app/vmselect/promql: do not add step to range end, since this hack became obsolete since commit 9e1119dab8
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parent
78b62dee87
commit
a6c6a2debc
@ -40,25 +40,11 @@ func Exec(ec *EvalConfig, q string, isFirstPointOnly bool) ([]netstorage.Result,
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return nil, err
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}
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// Add an additional point to the end. This point is used
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// in calculating the last value for rate, deriv, increase
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// and delta funcs.
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ec.End += ec.Step
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rv, err := evalExpr(ec, e)
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if err != nil {
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return nil, err
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}
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// Remove the additional point at the end.
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for _, ts := range rv {
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ts.Values = ts.Values[:len(ts.Values)-1]
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// ts.Timestamps may be shared between timeseries, so truncate it with len(ts.Values) instead of len(ts.Timestamps)-1
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ts.Timestamps = ts.Timestamps[:len(ts.Values)]
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}
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ec.End -= ec.Step
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if isFirstPointOnly {
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// Remove all the points except the first one from every time series.
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for _, ts := range rv {
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@ -3461,7 +3461,7 @@ func TestExecSuccess(t *testing.T) {
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q := `sort(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s]))`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{13, 14, 12, 8, 12, 13},
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Values: []float64{14, 15, 12, 13, 15, 11},
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Timestamps: timestampsExpected,
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}
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r1.MetricName.Tags = []storage.Tag{
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@ -3471,12 +3471,12 @@ func TestExecSuccess(t *testing.T) {
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("1.0e0...1.5e0"),
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Value: []byte("2.0e0...2.5e0"),
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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{14, 15, 12, 13, 15, 11},
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Values: []float64{13, 14, 12, 8, 12, 13},
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Timestamps: timestampsExpected,
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}
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r2.MetricName.Tags = []storage.Tag{
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@ -3486,7 +3486,7 @@ func TestExecSuccess(t *testing.T) {
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},
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{
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Key: []byte("vmrange"),
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Value: []byte("2.0e0...2.5e0"),
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Value: []byte("1.0e0...1.5e0"),
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},
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}
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r3 := netstorage.Result{
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@ -3512,24 +3512,24 @@ func TestExecSuccess(t *testing.T) {
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q := `sort(sum(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s])) by (vmrange))`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{13, 14, 12, 8, 12, 13},
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Values: []float64{14, 15, 12, 13, 15, 11},
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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("vmrange"),
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Value: []byte("1.0e0...1.5e0"),
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Value: []byte("2.0e0...2.5e0"),
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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{14, 15, 12, 13, 15, 11},
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Values: []float64{13, 14, 12, 8, 12, 13},
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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("vmrange"),
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Value: []byte("2.0e0...2.5e0"),
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Value: []byte("1.0e0...1.5e0"),
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},
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}
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r3 := netstorage.Result{
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@ -3777,12 +3777,12 @@ func TestExecSuccess(t *testing.T) {
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q := `sort(bottomk_avg(1, label_set(10, "foo", "bar") or label_set(time()/150, "baz", "sss")))`
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r1 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{10, 10, 10, nan, nan, nan},
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Values: []float64{6.666666666666667, 8, 9.333333333333334, 10.666666666666666, 12, 13.333333333333334},
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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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Key: []byte("baz"),
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Value: []byte("sss"),
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}}
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resultExpected := []netstorage.Result{r1}
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f(q, resultExpected)
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@ -4698,21 +4698,21 @@ func TestExecSuccess(t *testing.T) {
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}}
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r2 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{0.1, 0.04, 0.49, 0.46, 0.57, 0.92},
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Values: []float64{0.9, 0.32, 0.82, 0.13, 0.28, 0.86},
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Timestamps: timestampsExpected,
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}
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r2.MetricName.Tags = []storage.Tag{{
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Key: []byte("rollup"),
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Value: []byte("close"),
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Value: []byte("open"),
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}}
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r3 := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{0.9, 0.32, 0.82, 0.13, 0.28, 0.86},
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Values: []float64{0.1, 0.04, 0.49, 0.46, 0.57, 0.92},
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Timestamps: timestampsExpected,
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}
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r3.MetricName.Tags = []storage.Tag{{
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Key: []byte("rollup"),
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Value: []byte("open"),
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Value: []byte("close"),
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}}
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r4 := netstorage.Result{
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MetricName: metricNameExpected,
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@ -820,10 +820,6 @@ func transformRangeQuantile(tfa *transformFuncArg) ([]*timeseries, error) {
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hf.Reset()
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lastIdx := -1
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values := ts.Values
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if len(values) > 0 {
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// Ignore the last value. See Exec func for details.
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values = values[:len(values)-1]
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}
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for i, v := range values {
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if math.IsNaN(v) {
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continue
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@ -874,14 +870,7 @@ func transformRangeLast(tfa *transformFuncArg) ([]*timeseries, error) {
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func setLastValues(tss []*timeseries) {
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for _, ts := range tss {
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values := ts.Values
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if len(values) < 2 {
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continue
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}
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// Do not take into account the last value, since it shouldn't be included
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// in the range. See Exec func for details.
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values = values[:len(values)-1]
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values = skipTrailingNaNs(values)
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values := skipTrailingNaNs(ts.Values)
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if len(values) == 0 {
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continue
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}
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@ -1521,9 +1510,7 @@ func transformStart(tfa *transformFuncArg) float64 {
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}
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func transformEnd(tfa *transformFuncArg) float64 {
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// Subtract step from end, since it shouldn't go to the range.
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// See Exec func for details.
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return float64(tfa.ec.End-tfa.ec.Step) * 1e-3
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return float64(tfa.ec.End) * 1e-3
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}
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// copyTimeseriesMetricNames returns a copy of arg with real copy of MetricNames,
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