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app/vmselect/promql: add lag(q[d])
function, which returns the lag between the current timestamp and the timstamp for the last data point in q
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@ -3720,6 +3720,17 @@ 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(`lag()`, func(t *testing.T) {
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t.Parallel()
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q := `lag(time()[60s:17s])`
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r := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{14, 10, 6, 2, 15, 11},
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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(`()`, func(t *testing.T) {
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t.Parallel()
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q := `()`
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@ -4189,6 +4200,8 @@ func TestExecError(t *testing.T) {
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f(`alias()`)
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f(`alias(1)`)
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f(`alias(1, "foo", "bar")`)
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f(`lifetime()`)
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f(`lag()`)
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// Invalid argument type
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f(`median_over_time({}, 2)`)
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@ -48,6 +48,7 @@ var rollupFuncs = map[string]newRollupFunc{
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"integrate": newRollupFuncOneArg(rollupIntegrate),
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"ideriv": newRollupFuncOneArg(rollupIderiv),
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"lifetime": newRollupFuncOneArg(rollupLifetime),
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"lag": newRollupFuncOneArg(rollupLag),
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"scrape_interval": newRollupFuncOneArg(rollupScrapeInterval),
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"rollup": newRollupFuncOneArg(rollupFake),
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"rollup_rate": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
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@ -113,6 +114,7 @@ type rollupFuncArg struct {
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values []float64
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timestamps []int64
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currTimestamp int64
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idx int
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step int64
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}
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@ -122,6 +124,7 @@ func (rfa *rollupFuncArg) reset() {
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rfa.prevTimestamp = 0
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rfa.values = nil
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rfa.timestamps = nil
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rfa.currTimestamp = 0
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rfa.idx = 0
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rfa.step = 0
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}
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@ -226,6 +229,7 @@ func (rc *rollupConfig) Do(dstValues []float64, values []float64, timestamps []i
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rfa.values = values[i:j]
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rfa.timestamps = timestamps[i:j]
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rfa.currTimestamp = tEnd
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value := rc.Func(rfa)
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rfa.idx++
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dstValues = append(dstValues, value)
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@ -799,6 +803,18 @@ func rollupLifetime(rfa *rollupFuncArg) float64 {
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return float64(timestamps[len(timestamps)-1]-rfa.prevTimestamp) * 1e-3
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}
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func rollupLag(rfa *rollupFuncArg) float64 {
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// Calculate the duration between the current timestamp and the last data point.
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timestamps := rfa.timestamps
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if len(timestamps) == 0 {
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if math.IsNaN(rfa.prevValue) {
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return nan
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}
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return float64(rfa.currTimestamp-rfa.prevTimestamp) * 1e-3
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}
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return float64(rfa.currTimestamp-timestamps[len(timestamps)-1]) * 1e-3
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}
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func rollupScrapeInterval(rfa *rollupFuncArg) float64 {
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// Calculate the average interval between data points.
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timestamps := rfa.timestamps
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@ -632,6 +632,20 @@ func TestRollupFuncsNoWindow(t *testing.T) {
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timestampsExpected := []int64{10, 50, 90, 130}
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testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
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})
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t.Run("lag", func(t *testing.T) {
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rc := rollupConfig{
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Func: rollupLag,
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Start: 0,
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End: 160,
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Step: 40,
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Window: 0,
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}
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rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
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values := rc.Do(nil, testValues, testTimestamps)
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valuesExpected := []float64{nan, 0.004, 0, 0, 0.03}
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timestampsExpected := []int64{0, 40, 80, 120, 160}
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testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
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})
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t.Run("lifetime_1", func(t *testing.T) {
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rc := rollupConfig{
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Func: rollupLifetime,
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