mirror of
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app/vmselect/promql: add stale_samples_over_time()
function
This commit is contained in:
parent
96707223db
commit
f41846d002
9 changed files with 200 additions and 178 deletions
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@ -910,9 +910,11 @@ func mulNoOverflow(a, b int64) int64 {
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}
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func dropStaleNaNs(funcName string, values []float64, timestamps []int64) ([]float64, []int64) {
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if *noStaleMarkers || funcName == "default_rollup" {
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if *noStaleMarkers || funcName == "default_rollup" || funcName == "stale_samples_over_time" {
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// Do not drop Prometheus staleness marks (aka stale NaNs) for default_rollup() function,
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// since it uses them for Prometheus-style staleness detection.
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// Do not drop staleness marks for stale_samples_over_time() function, since it needs
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// to calculate the number of staleness markers.
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return values, timestamps
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}
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// Remove Prometheus staleness marks, so non-default rollup functions don't hit NaN values.
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@ -19,69 +19,70 @@ var minStalenessInterval = flag.Duration("search.minStalenessInterval", 0, "The
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"See also '-search.maxStalenessInterval'")
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var rollupFuncs = map[string]newRollupFunc{
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"absent_over_time": newRollupFuncOneArg(rollupAbsent),
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"aggr_over_time": newRollupFuncTwoArgs(rollupFake),
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"ascent_over_time": newRollupFuncOneArg(rollupAscentOverTime),
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"avg_over_time": newRollupFuncOneArg(rollupAvg),
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"changes": newRollupFuncOneArg(rollupChanges),
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"changes_prometheus": newRollupFuncOneArg(rollupChangesPrometheus),
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"count_eq_over_time": newRollupCountEQ,
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"count_gt_over_time": newRollupCountGT,
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"count_le_over_time": newRollupCountLE,
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"count_ne_over_time": newRollupCountNE,
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"count_over_time": newRollupFuncOneArg(rollupCount),
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"decreases_over_time": newRollupFuncOneArg(rollupDecreases),
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"default_rollup": newRollupFuncOneArg(rollupDefault), // default rollup func
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"delta": newRollupFuncOneArg(rollupDelta),
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"delta_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus),
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"deriv": newRollupFuncOneArg(rollupDerivSlow),
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"deriv_fast": newRollupFuncOneArg(rollupDerivFast),
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"descent_over_time": newRollupFuncOneArg(rollupDescentOverTime),
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"distinct_over_time": newRollupFuncOneArg(rollupDistinct),
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"duration_over_time": newRollupDurationOverTime,
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"first_over_time": newRollupFuncOneArg(rollupFirst),
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"geomean_over_time": newRollupFuncOneArg(rollupGeomean),
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"histogram_over_time": newRollupFuncOneArg(rollupHistogram),
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"hoeffding_bound_lower": newRollupHoeffdingBoundLower,
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"hoeffding_bound_upper": newRollupHoeffdingBoundUpper,
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"holt_winters": newRollupHoltWinters,
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"idelta": newRollupFuncOneArg(rollupIdelta),
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"ideriv": newRollupFuncOneArg(rollupIderiv),
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"increase": newRollupFuncOneArg(rollupDelta), // + rollupFuncsRemoveCounterResets
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"increase_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus), // + rollupFuncsRemoveCounterResets
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"increase_pure": newRollupFuncOneArg(rollupIncreasePure), // + rollupFuncsRemoveCounterResets
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"increases_over_time": newRollupFuncOneArg(rollupIncreases),
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"integrate": newRollupFuncOneArg(rollupIntegrate),
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"irate": newRollupFuncOneArg(rollupIderiv), // + rollupFuncsRemoveCounterResets
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"lag": newRollupFuncOneArg(rollupLag),
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"last_over_time": newRollupFuncOneArg(rollupLast),
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"lifetime": newRollupFuncOneArg(rollupLifetime),
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"max_over_time": newRollupFuncOneArg(rollupMax),
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"min_over_time": newRollupFuncOneArg(rollupMin),
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"mode_over_time": newRollupFuncOneArg(rollupModeOverTime),
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"predict_linear": newRollupPredictLinear,
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"present_over_time": newRollupFuncOneArg(rollupPresent),
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"quantile_over_time": newRollupQuantile,
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"quantiles_over_time": newRollupQuantiles,
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"range_over_time": newRollupFuncOneArg(rollupRange),
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"rate": newRollupFuncOneArg(rollupDerivFast), // + rollupFuncsRemoveCounterResets
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"rate_over_sum": newRollupFuncOneArg(rollupRateOverSum),
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"resets": newRollupFuncOneArg(rollupResets),
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"rollup": newRollupFuncOneArg(rollupFake),
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"rollup_candlestick": newRollupFuncOneArg(rollupFake),
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"rollup_delta": newRollupFuncOneArg(rollupFake),
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"rollup_deriv": newRollupFuncOneArg(rollupFake),
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"rollup_increase": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
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"rollup_rate": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
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"rollup_scrape_interval": newRollupFuncOneArg(rollupFake),
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"scrape_interval": newRollupFuncOneArg(rollupScrapeInterval),
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"share_gt_over_time": newRollupShareGT,
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"share_le_over_time": newRollupShareLE,
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"stddev_over_time": newRollupFuncOneArg(rollupStddev),
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"stdvar_over_time": newRollupFuncOneArg(rollupStdvar),
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"sum_over_time": newRollupFuncOneArg(rollupSum),
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"sum2_over_time": newRollupFuncOneArg(rollupSum2),
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"tfirst_over_time": newRollupFuncOneArg(rollupTfirst),
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"absent_over_time": newRollupFuncOneArg(rollupAbsent),
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"aggr_over_time": newRollupFuncTwoArgs(rollupFake),
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"ascent_over_time": newRollupFuncOneArg(rollupAscentOverTime),
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"avg_over_time": newRollupFuncOneArg(rollupAvg),
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"changes": newRollupFuncOneArg(rollupChanges),
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"changes_prometheus": newRollupFuncOneArg(rollupChangesPrometheus),
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"count_eq_over_time": newRollupCountEQ,
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"count_gt_over_time": newRollupCountGT,
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"count_le_over_time": newRollupCountLE,
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"count_ne_over_time": newRollupCountNE,
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"count_over_time": newRollupFuncOneArg(rollupCount),
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"decreases_over_time": newRollupFuncOneArg(rollupDecreases),
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"default_rollup": newRollupFuncOneArg(rollupDefault), // default rollup func
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"delta": newRollupFuncOneArg(rollupDelta),
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"delta_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus),
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"deriv": newRollupFuncOneArg(rollupDerivSlow),
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"deriv_fast": newRollupFuncOneArg(rollupDerivFast),
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"descent_over_time": newRollupFuncOneArg(rollupDescentOverTime),
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"distinct_over_time": newRollupFuncOneArg(rollupDistinct),
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"duration_over_time": newRollupDurationOverTime,
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"first_over_time": newRollupFuncOneArg(rollupFirst),
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"geomean_over_time": newRollupFuncOneArg(rollupGeomean),
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"histogram_over_time": newRollupFuncOneArg(rollupHistogram),
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"hoeffding_bound_lower": newRollupHoeffdingBoundLower,
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"hoeffding_bound_upper": newRollupHoeffdingBoundUpper,
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"holt_winters": newRollupHoltWinters,
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"idelta": newRollupFuncOneArg(rollupIdelta),
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"ideriv": newRollupFuncOneArg(rollupIderiv),
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"increase": newRollupFuncOneArg(rollupDelta), // + rollupFuncsRemoveCounterResets
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"increase_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus), // + rollupFuncsRemoveCounterResets
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"increase_pure": newRollupFuncOneArg(rollupIncreasePure), // + rollupFuncsRemoveCounterResets
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"increases_over_time": newRollupFuncOneArg(rollupIncreases),
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"integrate": newRollupFuncOneArg(rollupIntegrate),
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"irate": newRollupFuncOneArg(rollupIderiv), // + rollupFuncsRemoveCounterResets
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"lag": newRollupFuncOneArg(rollupLag),
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"last_over_time": newRollupFuncOneArg(rollupLast),
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"lifetime": newRollupFuncOneArg(rollupLifetime),
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"max_over_time": newRollupFuncOneArg(rollupMax),
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"min_over_time": newRollupFuncOneArg(rollupMin),
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"mode_over_time": newRollupFuncOneArg(rollupModeOverTime),
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"predict_linear": newRollupPredictLinear,
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"present_over_time": newRollupFuncOneArg(rollupPresent),
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"quantile_over_time": newRollupQuantile,
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"quantiles_over_time": newRollupQuantiles,
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"range_over_time": newRollupFuncOneArg(rollupRange),
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"rate": newRollupFuncOneArg(rollupDerivFast), // + rollupFuncsRemoveCounterResets
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"rate_over_sum": newRollupFuncOneArg(rollupRateOverSum),
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"resets": newRollupFuncOneArg(rollupResets),
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"rollup": newRollupFuncOneArg(rollupFake),
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"rollup_candlestick": newRollupFuncOneArg(rollupFake),
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"rollup_delta": newRollupFuncOneArg(rollupFake),
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"rollup_deriv": newRollupFuncOneArg(rollupFake),
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"rollup_increase": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
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"rollup_rate": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
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"rollup_scrape_interval": newRollupFuncOneArg(rollupFake),
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"scrape_interval": newRollupFuncOneArg(rollupScrapeInterval),
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"share_gt_over_time": newRollupShareGT,
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"share_le_over_time": newRollupShareLE,
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"stale_samples_over_time": newRollupFuncOneArg(rollupStaleSamples),
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"stddev_over_time": newRollupFuncOneArg(rollupStddev),
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"stdvar_over_time": newRollupFuncOneArg(rollupStdvar),
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"sum_over_time": newRollupFuncOneArg(rollupSum),
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"sum2_over_time": newRollupFuncOneArg(rollupSum2),
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"tfirst_over_time": newRollupFuncOneArg(rollupTfirst),
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// `timestamp` function must return timestamp for the last datapoint on the current window
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// in order to properly handle offset and timestamps unaligned to the current step.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details.
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@ -95,50 +96,51 @@ var rollupFuncs = map[string]newRollupFunc{
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// rollupAggrFuncs are functions that can be passed to `aggr_over_time()`
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var rollupAggrFuncs = map[string]rollupFunc{
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"absent_over_time": rollupAbsent,
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"ascent_over_time": rollupAscentOverTime,
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"avg_over_time": rollupAvg,
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"changes": rollupChanges,
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"count_over_time": rollupCount,
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"decreases_over_time": rollupDecreases,
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"default_rollup": rollupDefault,
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"delta": rollupDelta,
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"deriv": rollupDerivSlow,
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"deriv_fast": rollupDerivFast,
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"descent_over_time": rollupDescentOverTime,
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"distinct_over_time": rollupDistinct,
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"first_over_time": rollupFirst,
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"geomean_over_time": rollupGeomean,
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"idelta": rollupIdelta,
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"ideriv": rollupIderiv,
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"increase": rollupDelta,
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"increase_pure": rollupIncreasePure,
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"increases_over_time": rollupIncreases,
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"integrate": rollupIntegrate,
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"irate": rollupIderiv,
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"lag": rollupLag,
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"last_over_time": rollupLast,
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"lifetime": rollupLifetime,
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"max_over_time": rollupMax,
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"min_over_time": rollupMin,
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"mode_over_time": rollupModeOverTime,
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"present_over_time": rollupPresent,
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"range_over_time": rollupRange,
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"rate": rollupDerivFast,
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"rate_over_sum": rollupRateOverSum,
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"resets": rollupResets,
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"scrape_interval": rollupScrapeInterval,
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"stddev_over_time": rollupStddev,
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"stdvar_over_time": rollupStdvar,
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"sum_over_time": rollupSum,
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"sum2_over_time": rollupSum2,
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"tfirst_over_time": rollupTfirst,
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"timestamp": rollupTlast,
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"timestamp_with_name": rollupTlast,
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"tlast_over_time": rollupTlast,
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"tmax_over_time": rollupTmax,
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"tmin_over_time": rollupTmin,
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"zscore_over_time": rollupZScoreOverTime,
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"absent_over_time": rollupAbsent,
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"ascent_over_time": rollupAscentOverTime,
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"avg_over_time": rollupAvg,
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"changes": rollupChanges,
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"count_over_time": rollupCount,
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"decreases_over_time": rollupDecreases,
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"default_rollup": rollupDefault,
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"delta": rollupDelta,
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"deriv": rollupDerivSlow,
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"deriv_fast": rollupDerivFast,
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"descent_over_time": rollupDescentOverTime,
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"distinct_over_time": rollupDistinct,
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"first_over_time": rollupFirst,
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"geomean_over_time": rollupGeomean,
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"idelta": rollupIdelta,
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"ideriv": rollupIderiv,
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"increase": rollupDelta,
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"increase_pure": rollupIncreasePure,
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"increases_over_time": rollupIncreases,
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"integrate": rollupIntegrate,
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"irate": rollupIderiv,
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"lag": rollupLag,
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"last_over_time": rollupLast,
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"lifetime": rollupLifetime,
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"max_over_time": rollupMax,
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"min_over_time": rollupMin,
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"mode_over_time": rollupModeOverTime,
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"present_over_time": rollupPresent,
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"range_over_time": rollupRange,
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"rate": rollupDerivFast,
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"rate_over_sum": rollupRateOverSum,
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"resets": rollupResets,
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"scrape_interval": rollupScrapeInterval,
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"stale_samples_over_time": rollupStaleSamples,
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"stddev_over_time": rollupStddev,
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"stdvar_over_time": rollupStdvar,
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"sum_over_time": rollupSum,
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"sum2_over_time": rollupSum2,
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"tfirst_over_time": rollupTfirst,
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"timestamp": rollupTlast,
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"timestamp_with_name": rollupTlast,
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"tlast_over_time": rollupTlast,
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"tmax_over_time": rollupTmax,
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"tmin_over_time": rollupTmin,
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"zscore_over_time": rollupZScoreOverTime,
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}
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// VictoriaMetrics can increase lookbehind window in square brackets for these functions
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@ -1373,6 +1375,20 @@ func rollupCount(rfa *rollupFuncArg) float64 {
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return float64(len(values))
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}
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func rollupStaleSamples(rfa *rollupFuncArg) float64 {
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values := rfa.values
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if len(values) == 0 {
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return nan
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}
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n := 0
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for _, v := range rfa.values {
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if decimal.IsStaleNaN(v) {
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n++
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}
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}
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return float64(n)
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}
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func rollupStddev(rfa *rollupFuncArg) float64 {
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stdvar := rollupStdvar(rfa)
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return math.Sqrt(stdvar)
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@ -513,6 +513,7 @@ func TestRollupNewRollupFuncSuccess(t *testing.T) {
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f("sum2_over_time", 37951)
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f("geomean_over_time", 39.33466603189148)
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f("count_over_time", 12)
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f("stale_samples_over_time", 0)
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f("stddev_over_time", 30.752935722554287)
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f("stdvar_over_time", 945.7430555555555)
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f("first_over_time", 123)
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@ -28,6 +28,7 @@ sort: 15
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* FEATURE: [vmalert](https://docs.victoriametrics.com/vmalert.html): expose `vmalert_remotewrite_total` metric at `/metrics` page. This makes possible calculating SLOs for error rate during writing recording rules and alert state to `-remoteWrite.url` with the query `vmalert_remotewrite_errors_total / vmalert_remotewrite_total`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2040). Thanks to @afoninsky .
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* FEATURE: [vmalert](https://docs.victoriametrics.com/vmalert.html): add `stripPort` template function in the same way as [Prometheus does](https://github.com/prometheus/prometheus/pull/10002).
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* FEATURE: [vmalert](https://docs.victoriametrics.com/vmalert.html): add `parseDuration` template function in the same way as [Prometheus does](https://github.com/prometheus/prometheus/pull/8817).
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* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `stale_samples_over_time(m[d])` function for calculating the number of [staleness marks](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) for time series `m` over the duration `d`. This function may be useful for detecting flapping metrics at scrape targets, which periodically disappear and then appear again.
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* BUGFIX: [vmagent](https://docs.victoriametrics.com/vmagent.html): make sure that `vmagent` replicas scrape the same targets at different time offsets when [replication is enabled in vmagent clustering mode](https://docs.victoriametrics.com/vmagent.html#scraping-big-number-of-targets). This guarantees that the [deduplication](https://docs.victoriametrics.com/#deduplication) consistently leaves samples from the same `vmagent` replica.
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* BUGFIX: return the proper response stub from `/api/v1/query_exemplars` handler, which is needed for Grafana v8+. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1999).
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@ -311,6 +311,10 @@ See also [implicit query conversions](#implicit-query-conversions).
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`share_le_over_time(series_selector[d], le)` returns share (in the range `[0...1]`) of raw samples on the given lookbehind window `d`, which are smaller or equal to `le`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Useful for calculating SLI and SLO. Example: `share_le_over_time(memory_usage_bytes[24h], 100*1024*1024)` returns the share of time series values for the last 24 hours when memory usage was below or equal to 100MB. See also [share_gt_over_time](#share_gt_over_time).
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#### stale_samples_over_time
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`stale_samples_over_time(series_selector[d])` calculates the number of [staleness markers](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) on the given lookbehind window `d` per each time series matching the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups.
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#### stddev_over_time
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`stddev_over_time(series_selector[d])` calculates standard deviation over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. This function is supported by PromQL. See also [stdvar_over_time](#stdvar_over_time).
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2
go.mod
2
go.mod
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@ -10,7 +10,7 @@ require (
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// like https://github.com/valyala/fasthttp/commit/996610f021ff45fdc98c2ce7884d5fa4e7f9199b
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github.com/VictoriaMetrics/fasthttp v1.1.0
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github.com/VictoriaMetrics/metrics v1.18.1
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github.com/VictoriaMetrics/metricsql v0.35.0
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github.com/VictoriaMetrics/metricsql v0.36.1
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github.com/aws/aws-sdk-go v1.42.31
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github.com/cespare/xxhash/v2 v2.1.2
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github.com/cheggaaa/pb/v3 v3.0.8
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7
go.sum
7
go.sum
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@ -112,11 +112,10 @@ github.com/VictoriaMetrics/fastcache v1.8.0 h1:ybZqS7kRy8YVzYsI09GLzQhs7iqS6cOEH
|
|||
github.com/VictoriaMetrics/fastcache v1.8.0/go.mod h1:n7Sl+ioh/HlWeYHLSIBIE8TcZFHg/+xgvomWSS5xuEE=
|
||||
github.com/VictoriaMetrics/fasthttp v1.1.0 h1:3crd4YWHsMwu60GUXRH6OstowiFvqrwS4a/ueoLdLL0=
|
||||
github.com/VictoriaMetrics/fasthttp v1.1.0/go.mod h1:/7DMcogqd+aaD3G3Hg5kFgoFwlR2uydjiWvoLp5ZTqQ=
|
||||
github.com/VictoriaMetrics/metrics v1.12.2/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE=
|
||||
github.com/VictoriaMetrics/metrics v1.18.1 h1:OZ0+kTTto8oPfHnVAnTOoyl0XlRhRkoQrD2n2cOuRw0=
|
||||
github.com/VictoriaMetrics/metrics v1.18.1/go.mod h1:ArjwVz7WpgpegX/JpB0zpNF2h2232kErkEnzH1sxMmA=
|
||||
github.com/VictoriaMetrics/metricsql v0.35.0 h1:jK/+UhPb5o2OESZcqifp9hl0rURPgCwY6coy8OlbIss=
|
||||
github.com/VictoriaMetrics/metricsql v0.35.0/go.mod h1:ylO7YITho/Iw6P71oEaGyHbO94bGoGtzWfLGqFhMIg8=
|
||||
github.com/VictoriaMetrics/metricsql v0.36.1 h1:pT1OAt7AFiNEj8rmXCqtggkA7XGQJNi4vafaw7JcVD4=
|
||||
github.com/VictoriaMetrics/metricsql v0.36.1/go.mod h1:6pP1ZeLVJHqJrHlF6Ij3gmpQIznSsgktEcZgsAWYel0=
|
||||
github.com/VividCortex/ewma v1.1.1/go.mod h1:2Tkkvm3sRDVXaiyucHiACn4cqf7DpdyLvmxzcbUokwA=
|
||||
github.com/VividCortex/ewma v1.2.0 h1:f58SaIzcDXrSy3kWaHNvuJgJ3Nmz59Zji6XoJR/q1ow=
|
||||
github.com/VividCortex/ewma v1.2.0/go.mod h1:nz4BbCtbLyFDeC9SUHbtcT5644juEuWfUAUnGx7j5l4=
|
||||
|
@ -963,7 +962,6 @@ github.com/valyala/bytebufferpool v1.0.0/go.mod h1:6bBcMArwyJ5K/AmCkWv1jt77kVWyC
|
|||
github.com/valyala/fasthttp v1.30.0/go.mod h1:2rsYD01CKFrjjsvFxx75KlEUNpWNBY9JWD3K/7o2Cus=
|
||||
github.com/valyala/fastjson v1.6.3 h1:tAKFnnwmeMGPbwJ7IwxcTPCNr3uIzoIj3/Fh90ra4xc=
|
||||
github.com/valyala/fastjson v1.6.3/go.mod h1:CLCAqky6SMuOcxStkYQvblddUtoRxhYMGLrsQns1aXY=
|
||||
github.com/valyala/fastrand v1.0.0/go.mod h1:HWqCzkrkg6QXT8V2EXWvXCoow7vLwOFN002oeRzjapQ=
|
||||
github.com/valyala/fastrand v1.1.0 h1:f+5HkLW4rsgzdNoleUOB69hyT9IlD2ZQh9GyDMfb5G8=
|
||||
github.com/valyala/fastrand v1.1.0/go.mod h1:HWqCzkrkg6QXT8V2EXWvXCoow7vLwOFN002oeRzjapQ=
|
||||
github.com/valyala/fasttemplate v1.0.1/go.mod h1:UQGH1tvbgY+Nz5t2n7tXsz52dQxojPUpymEIMZ47gx8=
|
||||
|
@ -971,7 +969,6 @@ github.com/valyala/fasttemplate v1.2.1 h1:TVEnxayobAdVkhQfrfes2IzOB6o+z4roRkPF52
|
|||
github.com/valyala/fasttemplate v1.2.1/go.mod h1:KHLXt3tVN2HBp8eijSv/kGJopbvo7S+qRAEEKiv+SiQ=
|
||||
github.com/valyala/gozstd v1.15.1 h1:hpmJYWOpNs0rjDOMdbwWZplfNlfh1tOy0v7XiR9+iGQ=
|
||||
github.com/valyala/gozstd v1.15.1/go.mod h1:y5Ew47GLlP37EkTB+B4s7r6A5rdaeB7ftbl9zoYiIPQ=
|
||||
github.com/valyala/histogram v1.1.2/go.mod h1:CZAr6gK9dbD7hYx2s8WSPh0p5x5wETjC+2b3PJVtEdg=
|
||||
github.com/valyala/histogram v1.2.0 h1:wyYGAZZt3CpwUiIb9AU/Zbllg1llXyrtApRS815OLoQ=
|
||||
github.com/valyala/histogram v1.2.0/go.mod h1:Hb4kBwb4UxsaNbbbh+RRz8ZR6pdodR57tzWUS3BUzXY=
|
||||
github.com/valyala/quicktemplate v1.7.0 h1:LUPTJmlVcb46OOUY3IeD9DojFpAVbsG+5WFTcjMJzCM=
|
||||
|
|
127
vendor/github.com/VictoriaMetrics/metricsql/rollup.go
generated
vendored
127
vendor/github.com/VictoriaMetrics/metricsql/rollup.go
generated
vendored
|
@ -5,69 +5,70 @@ import (
|
|||
)
|
||||
|
||||
var rollupFuncs = map[string]bool{
|
||||
"absent_over_time": true,
|
||||
"aggr_over_time": true,
|
||||
"ascent_over_time": true,
|
||||
"avg_over_time": true,
|
||||
"changes": true,
|
||||
"changes_prometheus": true,
|
||||
"count_eq_over_time": true,
|
||||
"count_gt_over_time": true,
|
||||
"count_le_over_time": true,
|
||||
"count_ne_over_time": true,
|
||||
"count_over_time": true,
|
||||
"decreases_over_time": true,
|
||||
"default_rollup": true,
|
||||
"delta": true,
|
||||
"delta_prometheus": true,
|
||||
"deriv": true,
|
||||
"deriv_fast": true,
|
||||
"descent_over_time": true,
|
||||
"distinct_over_time": true,
|
||||
"duration_over_time": true,
|
||||
"first_over_time": true,
|
||||
"geomean_over_time": true,
|
||||
"histogram_over_time": true,
|
||||
"hoeffding_bound_lower": true,
|
||||
"hoeffding_bound_upper": true,
|
||||
"holt_winters": true,
|
||||
"idelta": true,
|
||||
"ideriv": true,
|
||||
"increase": true,
|
||||
"increase_prometheus": true,
|
||||
"increase_pure": true,
|
||||
"increases_over_time": true,
|
||||
"integrate": true,
|
||||
"irate": true,
|
||||
"lag": true,
|
||||
"last_over_time": true,
|
||||
"lifetime": true,
|
||||
"max_over_time": true,
|
||||
"min_over_time": true,
|
||||
"mode_over_time": true,
|
||||
"predict_linear": true,
|
||||
"present_over_time": true,
|
||||
"quantile_over_time": true,
|
||||
"quantiles_over_time": true,
|
||||
"range_over_time": true,
|
||||
"rate": true,
|
||||
"rate_over_sum": true,
|
||||
"resets": true,
|
||||
"rollup": true,
|
||||
"rollup_candlestick": true,
|
||||
"rollup_delta": true,
|
||||
"rollup_deriv": true,
|
||||
"rollup_increase": true,
|
||||
"rollup_rate": true,
|
||||
"rollup_scrape_interval": true,
|
||||
"scrape_interval": true,
|
||||
"share_gt_over_time": true,
|
||||
"share_le_over_time": true,
|
||||
"stddev_over_time": true,
|
||||
"stdvar_over_time": true,
|
||||
"sum_over_time": true,
|
||||
"sum2_over_time": true,
|
||||
"tfirst_over_time": true,
|
||||
"absent_over_time": true,
|
||||
"aggr_over_time": true,
|
||||
"ascent_over_time": true,
|
||||
"avg_over_time": true,
|
||||
"changes": true,
|
||||
"changes_prometheus": true,
|
||||
"count_eq_over_time": true,
|
||||
"count_gt_over_time": true,
|
||||
"count_le_over_time": true,
|
||||
"count_ne_over_time": true,
|
||||
"count_over_time": true,
|
||||
"decreases_over_time": true,
|
||||
"default_rollup": true,
|
||||
"delta": true,
|
||||
"delta_prometheus": true,
|
||||
"deriv": true,
|
||||
"deriv_fast": true,
|
||||
"descent_over_time": true,
|
||||
"distinct_over_time": true,
|
||||
"duration_over_time": true,
|
||||
"first_over_time": true,
|
||||
"geomean_over_time": true,
|
||||
"histogram_over_time": true,
|
||||
"hoeffding_bound_lower": true,
|
||||
"hoeffding_bound_upper": true,
|
||||
"holt_winters": true,
|
||||
"idelta": true,
|
||||
"ideriv": true,
|
||||
"increase": true,
|
||||
"increase_prometheus": true,
|
||||
"increase_pure": true,
|
||||
"increases_over_time": true,
|
||||
"integrate": true,
|
||||
"irate": true,
|
||||
"lag": true,
|
||||
"last_over_time": true,
|
||||
"lifetime": true,
|
||||
"max_over_time": true,
|
||||
"min_over_time": true,
|
||||
"mode_over_time": true,
|
||||
"predict_linear": true,
|
||||
"present_over_time": true,
|
||||
"quantile_over_time": true,
|
||||
"quantiles_over_time": true,
|
||||
"range_over_time": true,
|
||||
"rate": true,
|
||||
"rate_over_sum": true,
|
||||
"resets": true,
|
||||
"rollup": true,
|
||||
"rollup_candlestick": true,
|
||||
"rollup_delta": true,
|
||||
"rollup_deriv": true,
|
||||
"rollup_increase": true,
|
||||
"rollup_rate": true,
|
||||
"rollup_scrape_interval": true,
|
||||
"scrape_interval": true,
|
||||
"share_gt_over_time": true,
|
||||
"share_le_over_time": true,
|
||||
"stale_samples_over_time": true,
|
||||
"stddev_over_time": true,
|
||||
"stdvar_over_time": true,
|
||||
"sum_over_time": true,
|
||||
"sum2_over_time": true,
|
||||
"tfirst_over_time": true,
|
||||
// `timestamp` function must return timestamp for the last datapoint on the current window
|
||||
// in order to properly handle offset and timestamps unaligned to the current step.
|
||||
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details.
|
||||
|
|
2
vendor/modules.txt
vendored
2
vendor/modules.txt
vendored
|
@ -26,7 +26,7 @@ github.com/VictoriaMetrics/fasthttp/stackless
|
|||
# github.com/VictoriaMetrics/metrics v1.18.1
|
||||
## explicit; go 1.12
|
||||
github.com/VictoriaMetrics/metrics
|
||||
# github.com/VictoriaMetrics/metricsql v0.35.0
|
||||
# github.com/VictoriaMetrics/metricsql v0.36.1
|
||||
## explicit; go 1.13
|
||||
github.com/VictoriaMetrics/metricsql
|
||||
github.com/VictoriaMetrics/metricsql/binaryop
|
||||
|
|
Loading…
Reference in a new issue