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app/vmselect/promql: add stale_samples_over_time() function

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Aliaksandr Valialkin 2022-01-14 01:48:04 +02:00
parent 96707223db
commit f41846d002
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9 changed files with 200 additions and 178 deletions
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4
app/vmselect/promql/eval.go
View file

@ -910,9 +910,11 @@ func mulNoOverflow(a, b int64) int64 {
} }
func dropStaleNaNs(funcName string, values []float64, timestamps []int64) ([]float64, []int64) { func dropStaleNaNs(funcName string, values []float64, timestamps []int64) ([]float64, []int64) {
if *noStaleMarkers || funcName == "default_rollup" { if *noStaleMarkers || funcName == "default_rollup" || funcName == "stale_samples_over_time" {
// Do not drop Prometheus staleness marks (aka stale NaNs) for default_rollup() function, // Do not drop Prometheus staleness marks (aka stale NaNs) for default_rollup() function,
// since it uses them for Prometheus-style staleness detection. // since it uses them for Prometheus-style staleness detection.
// Do not drop staleness marks for stale_samples_over_time() function, since it needs
// to calculate the number of staleness markers.
return values, timestamps return values, timestamps
} }
// Remove Prometheus staleness marks, so non-default rollup functions don't hit NaN values. // Remove Prometheus staleness marks, so non-default rollup functions don't hit NaN values.

230
app/vmselect/promql/rollup.go
View file

@ -19,69 +19,70 @@ var minStalenessInterval = flag.Duration("search.minStalenessInterval", 0, "The
"See also '-search.maxStalenessInterval'") "See also '-search.maxStalenessInterval'")
var rollupFuncs = map[string]newRollupFunc{ var rollupFuncs = map[string]newRollupFunc{
"absent_over_time": newRollupFuncOneArg(rollupAbsent), "absent_over_time": newRollupFuncOneArg(rollupAbsent),
"aggr_over_time": newRollupFuncTwoArgs(rollupFake), "aggr_over_time": newRollupFuncTwoArgs(rollupFake),
"ascent_over_time": newRollupFuncOneArg(rollupAscentOverTime), "ascent_over_time": newRollupFuncOneArg(rollupAscentOverTime),
"avg_over_time": newRollupFuncOneArg(rollupAvg), "avg_over_time": newRollupFuncOneArg(rollupAvg),
"changes": newRollupFuncOneArg(rollupChanges), "changes": newRollupFuncOneArg(rollupChanges),
"changes_prometheus": newRollupFuncOneArg(rollupChangesPrometheus), "changes_prometheus": newRollupFuncOneArg(rollupChangesPrometheus),
"count_eq_over_time": newRollupCountEQ, "count_eq_over_time": newRollupCountEQ,
"count_gt_over_time": newRollupCountGT, "count_gt_over_time": newRollupCountGT,
"count_le_over_time": newRollupCountLE, "count_le_over_time": newRollupCountLE,
"count_ne_over_time": newRollupCountNE, "count_ne_over_time": newRollupCountNE,
"count_over_time": newRollupFuncOneArg(rollupCount), "count_over_time": newRollupFuncOneArg(rollupCount),
"decreases_over_time": newRollupFuncOneArg(rollupDecreases), "decreases_over_time": newRollupFuncOneArg(rollupDecreases),
"default_rollup": newRollupFuncOneArg(rollupDefault), // default rollup func "default_rollup": newRollupFuncOneArg(rollupDefault), // default rollup func
"delta": newRollupFuncOneArg(rollupDelta), "delta": newRollupFuncOneArg(rollupDelta),
"delta_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus), "delta_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus),
"deriv": newRollupFuncOneArg(rollupDerivSlow), "deriv": newRollupFuncOneArg(rollupDerivSlow),
"deriv_fast": newRollupFuncOneArg(rollupDerivFast), "deriv_fast": newRollupFuncOneArg(rollupDerivFast),
"descent_over_time": newRollupFuncOneArg(rollupDescentOverTime), "descent_over_time": newRollupFuncOneArg(rollupDescentOverTime),
"distinct_over_time": newRollupFuncOneArg(rollupDistinct), "distinct_over_time": newRollupFuncOneArg(rollupDistinct),
"duration_over_time": newRollupDurationOverTime, "duration_over_time": newRollupDurationOverTime,
"first_over_time": newRollupFuncOneArg(rollupFirst), "first_over_time": newRollupFuncOneArg(rollupFirst),
"geomean_over_time": newRollupFuncOneArg(rollupGeomean), "geomean_over_time": newRollupFuncOneArg(rollupGeomean),
"histogram_over_time": newRollupFuncOneArg(rollupHistogram), "histogram_over_time": newRollupFuncOneArg(rollupHistogram),
"hoeffding_bound_lower": newRollupHoeffdingBoundLower, "hoeffding_bound_lower": newRollupHoeffdingBoundLower,
"hoeffding_bound_upper": newRollupHoeffdingBoundUpper, "hoeffding_bound_upper": newRollupHoeffdingBoundUpper,
"holt_winters": newRollupHoltWinters, "holt_winters": newRollupHoltWinters,
"idelta": newRollupFuncOneArg(rollupIdelta), "idelta": newRollupFuncOneArg(rollupIdelta),
"ideriv": newRollupFuncOneArg(rollupIderiv), "ideriv": newRollupFuncOneArg(rollupIderiv),
"increase": newRollupFuncOneArg(rollupDelta), // + rollupFuncsRemoveCounterResets "increase": newRollupFuncOneArg(rollupDelta), // + rollupFuncsRemoveCounterResets
"increase_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus), // + rollupFuncsRemoveCounterResets "increase_prometheus": newRollupFuncOneArg(rollupDeltaPrometheus), // + rollupFuncsRemoveCounterResets
"increase_pure": newRollupFuncOneArg(rollupIncreasePure), // + rollupFuncsRemoveCounterResets "increase_pure": newRollupFuncOneArg(rollupIncreasePure), // + rollupFuncsRemoveCounterResets
"increases_over_time": newRollupFuncOneArg(rollupIncreases), "increases_over_time": newRollupFuncOneArg(rollupIncreases),
"integrate": newRollupFuncOneArg(rollupIntegrate), "integrate": newRollupFuncOneArg(rollupIntegrate),
"irate": newRollupFuncOneArg(rollupIderiv), // + rollupFuncsRemoveCounterResets "irate": newRollupFuncOneArg(rollupIderiv), // + rollupFuncsRemoveCounterResets
"lag": newRollupFuncOneArg(rollupLag), "lag": newRollupFuncOneArg(rollupLag),
"last_over_time": newRollupFuncOneArg(rollupLast), "last_over_time": newRollupFuncOneArg(rollupLast),
"lifetime": newRollupFuncOneArg(rollupLifetime), "lifetime": newRollupFuncOneArg(rollupLifetime),
"max_over_time": newRollupFuncOneArg(rollupMax), "max_over_time": newRollupFuncOneArg(rollupMax),
"min_over_time": newRollupFuncOneArg(rollupMin), "min_over_time": newRollupFuncOneArg(rollupMin),
"mode_over_time": newRollupFuncOneArg(rollupModeOverTime), "mode_over_time": newRollupFuncOneArg(rollupModeOverTime),
"predict_linear": newRollupPredictLinear, "predict_linear": newRollupPredictLinear,
"present_over_time": newRollupFuncOneArg(rollupPresent), "present_over_time": newRollupFuncOneArg(rollupPresent),
"quantile_over_time": newRollupQuantile, "quantile_over_time": newRollupQuantile,
"quantiles_over_time": newRollupQuantiles, "quantiles_over_time": newRollupQuantiles,
"range_over_time": newRollupFuncOneArg(rollupRange), "range_over_time": newRollupFuncOneArg(rollupRange),
"rate": newRollupFuncOneArg(rollupDerivFast), // + rollupFuncsRemoveCounterResets "rate": newRollupFuncOneArg(rollupDerivFast), // + rollupFuncsRemoveCounterResets
"rate_over_sum": newRollupFuncOneArg(rollupRateOverSum), "rate_over_sum": newRollupFuncOneArg(rollupRateOverSum),
"resets": newRollupFuncOneArg(rollupResets), "resets": newRollupFuncOneArg(rollupResets),
"rollup": newRollupFuncOneArg(rollupFake), "rollup": newRollupFuncOneArg(rollupFake),
"rollup_candlestick": newRollupFuncOneArg(rollupFake), "rollup_candlestick": newRollupFuncOneArg(rollupFake),
"rollup_delta": newRollupFuncOneArg(rollupFake), "rollup_delta": newRollupFuncOneArg(rollupFake),
"rollup_deriv": newRollupFuncOneArg(rollupFake), "rollup_deriv": newRollupFuncOneArg(rollupFake),
"rollup_increase": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets "rollup_increase": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
"rollup_rate": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets "rollup_rate": newRollupFuncOneArg(rollupFake), // + rollupFuncsRemoveCounterResets
"rollup_scrape_interval": newRollupFuncOneArg(rollupFake), "rollup_scrape_interval": newRollupFuncOneArg(rollupFake),
"scrape_interval": newRollupFuncOneArg(rollupScrapeInterval), "scrape_interval": newRollupFuncOneArg(rollupScrapeInterval),
"share_gt_over_time": newRollupShareGT, "share_gt_over_time": newRollupShareGT,
"share_le_over_time": newRollupShareLE, "share_le_over_time": newRollupShareLE,
"stddev_over_time": newRollupFuncOneArg(rollupStddev), "stale_samples_over_time": newRollupFuncOneArg(rollupStaleSamples),
"stdvar_over_time": newRollupFuncOneArg(rollupStdvar), "stddev_over_time": newRollupFuncOneArg(rollupStddev),
"sum_over_time": newRollupFuncOneArg(rollupSum), "stdvar_over_time": newRollupFuncOneArg(rollupStdvar),
"sum2_over_time": newRollupFuncOneArg(rollupSum2), "sum_over_time": newRollupFuncOneArg(rollupSum),
"tfirst_over_time": newRollupFuncOneArg(rollupTfirst), "sum2_over_time": newRollupFuncOneArg(rollupSum2),
"tfirst_over_time": newRollupFuncOneArg(rollupTfirst),
// `timestamp` function must return timestamp for the last datapoint on the current window // `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. // in order to properly handle offset and timestamps unaligned to the current step.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details.
@ -95,50 +96,51 @@ var rollupFuncs = map[string]newRollupFunc{
// rollupAggrFuncs are functions that can be passed to `aggr_over_time()` // rollupAggrFuncs are functions that can be passed to `aggr_over_time()`
var rollupAggrFuncs = map[string]rollupFunc{ var rollupAggrFuncs = map[string]rollupFunc{
"absent_over_time": rollupAbsent, "absent_over_time": rollupAbsent,
"ascent_over_time": rollupAscentOverTime, "ascent_over_time": rollupAscentOverTime,
"avg_over_time": rollupAvg, "avg_over_time": rollupAvg,
"changes": rollupChanges, "changes": rollupChanges,
"count_over_time": rollupCount, "count_over_time": rollupCount,
"decreases_over_time": rollupDecreases, "decreases_over_time": rollupDecreases,
"default_rollup": rollupDefault, "default_rollup": rollupDefault,
"delta": rollupDelta, "delta": rollupDelta,
"deriv": rollupDerivSlow, "deriv": rollupDerivSlow,
"deriv_fast": rollupDerivFast, "deriv_fast": rollupDerivFast,
"descent_over_time": rollupDescentOverTime, "descent_over_time": rollupDescentOverTime,
"distinct_over_time": rollupDistinct, "distinct_over_time": rollupDistinct,
"first_over_time": rollupFirst, "first_over_time": rollupFirst,
"geomean_over_time": rollupGeomean, "geomean_over_time": rollupGeomean,
"idelta": rollupIdelta, "idelta": rollupIdelta,
"ideriv": rollupIderiv, "ideriv": rollupIderiv,
"increase": rollupDelta, "increase": rollupDelta,
"increase_pure": rollupIncreasePure, "increase_pure": rollupIncreasePure,
"increases_over_time": rollupIncreases, "increases_over_time": rollupIncreases,
"integrate": rollupIntegrate, "integrate": rollupIntegrate,
"irate": rollupIderiv, "irate": rollupIderiv,
"lag": rollupLag, "lag": rollupLag,
"last_over_time": rollupLast, "last_over_time": rollupLast,
"lifetime": rollupLifetime, "lifetime": rollupLifetime,
"max_over_time": rollupMax, "max_over_time": rollupMax,
"min_over_time": rollupMin, "min_over_time": rollupMin,
"mode_over_time": rollupModeOverTime, "mode_over_time": rollupModeOverTime,
"present_over_time": rollupPresent, "present_over_time": rollupPresent,
"range_over_time": rollupRange, "range_over_time": rollupRange,
"rate": rollupDerivFast, "rate": rollupDerivFast,
"rate_over_sum": rollupRateOverSum, "rate_over_sum": rollupRateOverSum,
"resets": rollupResets, "resets": rollupResets,
"scrape_interval": rollupScrapeInterval, "scrape_interval": rollupScrapeInterval,
"stddev_over_time": rollupStddev, "stale_samples_over_time": rollupStaleSamples,
"stdvar_over_time": rollupStdvar, "stddev_over_time": rollupStddev,
"sum_over_time": rollupSum, "stdvar_over_time": rollupStdvar,
"sum2_over_time": rollupSum2, "sum_over_time": rollupSum,
"tfirst_over_time": rollupTfirst, "sum2_over_time": rollupSum2,
"timestamp": rollupTlast, "tfirst_over_time": rollupTfirst,
"timestamp_with_name": rollupTlast, "timestamp": rollupTlast,
"tlast_over_time": rollupTlast, "timestamp_with_name": rollupTlast,
"tmax_over_time": rollupTmax, "tlast_over_time": rollupTlast,
"tmin_over_time": rollupTmin, "tmax_over_time": rollupTmax,
"zscore_over_time": rollupZScoreOverTime, "tmin_over_time": rollupTmin,
"zscore_over_time": rollupZScoreOverTime,
} }
// VictoriaMetrics can increase lookbehind window in square brackets for these functions // VictoriaMetrics can increase lookbehind window in square brackets for these functions
@ -1373,6 +1375,20 @@ func rollupCount(rfa *rollupFuncArg) float64 {
return float64(len(values)) return float64(len(values))
} }
func rollupStaleSamples(rfa *rollupFuncArg) float64 {
values := rfa.values
if len(values) == 0 {
return nan
}
n := 0
for _, v := range rfa.values {
if decimal.IsStaleNaN(v) {
n++
}
}
return float64(n)
}
func rollupStddev(rfa *rollupFuncArg) float64 { func rollupStddev(rfa *rollupFuncArg) float64 {
stdvar := rollupStdvar(rfa) stdvar := rollupStdvar(rfa)
return math.Sqrt(stdvar) return math.Sqrt(stdvar)

1
app/vmselect/promql/rollup_test.go
View file

@ -513,6 +513,7 @@ func TestRollupNewRollupFuncSuccess(t *testing.T) {
f("sum2_over_time", 37951) f("sum2_over_time", 37951)
f("geomean_over_time", 39.33466603189148) f("geomean_over_time", 39.33466603189148)
f("count_over_time", 12) f("count_over_time", 12)
f("stale_samples_over_time", 0)
f("stddev_over_time", 30.752935722554287) f("stddev_over_time", 30.752935722554287)
f("stdvar_over_time", 945.7430555555555) f("stdvar_over_time", 945.7430555555555)
f("first_over_time", 123) f("first_over_time", 123)

1
docs/CHANGELOG.md
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@ -28,6 +28,7 @@ sort: 15
* 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 . * 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 .
* 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). * 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).
* 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). * 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).
* 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.
* 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. * 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.
* 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). * 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).

4
docs/MetricsQL.md
View file

@ -311,6 +311,10 @@ See also [implicit query conversions](#implicit-query-conversions).
`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). `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).
#### stale_samples_over_time
`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.
#### stddev_over_time #### stddev_over_time
`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). `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).

2
go.mod
View file

@ -10,7 +10,7 @@ require (
// like https://github.com/valyala/fasthttp/commit/996610f021ff45fdc98c2ce7884d5fa4e7f9199b // like https://github.com/valyala/fasthttp/commit/996610f021ff45fdc98c2ce7884d5fa4e7f9199b
github.com/VictoriaMetrics/fasthttp v1.1.0 github.com/VictoriaMetrics/fasthttp v1.1.0
github.com/VictoriaMetrics/metrics v1.18.1 github.com/VictoriaMetrics/metrics v1.18.1
github.com/VictoriaMetrics/metricsql v0.35.0 github.com/VictoriaMetrics/metricsql v0.36.1
github.com/aws/aws-sdk-go v1.42.31 github.com/aws/aws-sdk-go v1.42.31
github.com/cespare/xxhash/v2 v2.1.2 github.com/cespare/xxhash/v2 v2.1.2
github.com/cheggaaa/pb/v3 v3.0.8 github.com/cheggaaa/pb/v3 v3.0.8

7
go.sum
View file

@ -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/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 h1:3crd4YWHsMwu60GUXRH6OstowiFvqrwS4a/ueoLdLL0=
github.com/VictoriaMetrics/fasthttp v1.1.0/go.mod h1:/7DMcogqd+aaD3G3Hg5kFgoFwlR2uydjiWvoLp5ZTqQ= 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 h1:OZ0+kTTto8oPfHnVAnTOoyl0XlRhRkoQrD2n2cOuRw0=
github.com/VictoriaMetrics/metrics v1.18.1/go.mod h1:ArjwVz7WpgpegX/JpB0zpNF2h2232kErkEnzH1sxMmA= 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 v0.36.1 h1:pT1OAt7AFiNEj8rmXCqtggkA7XGQJNi4vafaw7JcVD4=
github.com/VictoriaMetrics/metricsql v0.35.0/go.mod h1:ylO7YITho/Iw6P71oEaGyHbO94bGoGtzWfLGqFhMIg8= 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 v1.1.1/go.mod h1:2Tkkvm3sRDVXaiyucHiACn4cqf7DpdyLvmxzcbUokwA=
github.com/VividCortex/ewma v1.2.0 h1:f58SaIzcDXrSy3kWaHNvuJgJ3Nmz59Zji6XoJR/q1ow= github.com/VividCortex/ewma v1.2.0 h1:f58SaIzcDXrSy3kWaHNvuJgJ3Nmz59Zji6XoJR/q1ow=
github.com/VividCortex/ewma v1.2.0/go.mod h1:nz4BbCtbLyFDeC9SUHbtcT5644juEuWfUAUnGx7j5l4= 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/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 h1:tAKFnnwmeMGPbwJ7IwxcTPCNr3uIzoIj3/Fh90ra4xc=
github.com/valyala/fastjson v1.6.3/go.mod h1:CLCAqky6SMuOcxStkYQvblddUtoRxhYMGLrsQns1aXY= 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 h1:f+5HkLW4rsgzdNoleUOB69hyT9IlD2ZQh9GyDMfb5G8=
github.com/valyala/fastrand v1.1.0/go.mod h1:HWqCzkrkg6QXT8V2EXWvXCoow7vLwOFN002oeRzjapQ= github.com/valyala/fastrand v1.1.0/go.mod h1:HWqCzkrkg6QXT8V2EXWvXCoow7vLwOFN002oeRzjapQ=
github.com/valyala/fasttemplate v1.0.1/go.mod h1:UQGH1tvbgY+Nz5t2n7tXsz52dQxojPUpymEIMZ47gx8= 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/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 h1:hpmJYWOpNs0rjDOMdbwWZplfNlfh1tOy0v7XiR9+iGQ=
github.com/valyala/gozstd v1.15.1/go.mod h1:y5Ew47GLlP37EkTB+B4s7r6A5rdaeB7ftbl9zoYiIPQ= 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 h1:wyYGAZZt3CpwUiIb9AU/Zbllg1llXyrtApRS815OLoQ=
github.com/valyala/histogram v1.2.0/go.mod h1:Hb4kBwb4UxsaNbbbh+RRz8ZR6pdodR57tzWUS3BUzXY= github.com/valyala/histogram v1.2.0/go.mod h1:Hb4kBwb4UxsaNbbbh+RRz8ZR6pdodR57tzWUS3BUzXY=
github.com/valyala/quicktemplate v1.7.0 h1:LUPTJmlVcb46OOUY3IeD9DojFpAVbsG+5WFTcjMJzCM= github.com/valyala/quicktemplate v1.7.0 h1:LUPTJmlVcb46OOUY3IeD9DojFpAVbsG+5WFTcjMJzCM=

127
vendor/github.com/VictoriaMetrics/metricsql/rollup.go generated vendored
View file

@ -5,69 +5,70 @@ import (
) )
var rollupFuncs = map[string]bool{ var rollupFuncs = map[string]bool{
"absent_over_time": true, "absent_over_time": true,
"aggr_over_time": true, "aggr_over_time": true,
"ascent_over_time": true, "ascent_over_time": true,
"avg_over_time": true, "avg_over_time": true,
"changes": true, "changes": true,
"changes_prometheus": true, "changes_prometheus": true,
"count_eq_over_time": true, "count_eq_over_time": true,
"count_gt_over_time": true, "count_gt_over_time": true,
"count_le_over_time": true, "count_le_over_time": true,
"count_ne_over_time": true, "count_ne_over_time": true,
"count_over_time": true, "count_over_time": true,
"decreases_over_time": true, "decreases_over_time": true,
"default_rollup": true, "default_rollup": true,
"delta": true, "delta": true,
"delta_prometheus": true, "delta_prometheus": true,
"deriv": true, "deriv": true,
"deriv_fast": true, "deriv_fast": true,
"descent_over_time": true, "descent_over_time": true,
"distinct_over_time": true, "distinct_over_time": true,
"duration_over_time": true, "duration_over_time": true,
"first_over_time": true, "first_over_time": true,
"geomean_over_time": true, "geomean_over_time": true,
"histogram_over_time": true, "histogram_over_time": true,
"hoeffding_bound_lower": true, "hoeffding_bound_lower": true,
"hoeffding_bound_upper": true, "hoeffding_bound_upper": true,
"holt_winters": true, "holt_winters": true,
"idelta": true, "idelta": true,
"ideriv": true, "ideriv": true,
"increase": true, "increase": true,
"increase_prometheus": true, "increase_prometheus": true,
"increase_pure": true, "increase_pure": true,
"increases_over_time": true, "increases_over_time": true,
"integrate": true, "integrate": true,
"irate": true, "irate": true,
"lag": true, "lag": true,
"last_over_time": true, "last_over_time": true,
"lifetime": true, "lifetime": true,
"max_over_time": true, "max_over_time": true,
"min_over_time": true, "min_over_time": true,
"mode_over_time": true, "mode_over_time": true,
"predict_linear": true, "predict_linear": true,
"present_over_time": true, "present_over_time": true,
"quantile_over_time": true, "quantile_over_time": true,
"quantiles_over_time": true, "quantiles_over_time": true,
"range_over_time": true, "range_over_time": true,
"rate": true, "rate": true,
"rate_over_sum": true, "rate_over_sum": true,
"resets": true, "resets": true,
"rollup": true, "rollup": true,
"rollup_candlestick": true, "rollup_candlestick": true,
"rollup_delta": true, "rollup_delta": true,
"rollup_deriv": true, "rollup_deriv": true,
"rollup_increase": true, "rollup_increase": true,
"rollup_rate": true, "rollup_rate": true,
"rollup_scrape_interval": true, "rollup_scrape_interval": true,
"scrape_interval": true, "scrape_interval": true,
"share_gt_over_time": true, "share_gt_over_time": true,
"share_le_over_time": true, "share_le_over_time": true,
"stddev_over_time": true, "stale_samples_over_time": true,
"stdvar_over_time": true, "stddev_over_time": true,
"sum_over_time": true, "stdvar_over_time": true,
"sum2_over_time": true, "sum_over_time": true,
"tfirst_over_time": true, "sum2_over_time": true,
"tfirst_over_time": true,
// `timestamp` function must return timestamp for the last datapoint on the current window // `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. // in order to properly handle offset and timestamps unaligned to the current step.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details.

2
vendor/modules.txt vendored
View file

@ -26,7 +26,7 @@ github.com/VictoriaMetrics/fasthttp/stackless
# github.com/VictoriaMetrics/metrics v1.18.1 # github.com/VictoriaMetrics/metrics v1.18.1
## explicit; go 1.12 ## explicit; go 1.12
github.com/VictoriaMetrics/metrics github.com/VictoriaMetrics/metrics
# github.com/VictoriaMetrics/metricsql v0.35.0 # github.com/VictoriaMetrics/metricsql v0.36.1
## explicit; go 1.13 ## explicit; go 1.13
github.com/VictoriaMetrics/metricsql github.com/VictoriaMetrics/metricsql
github.com/VictoriaMetrics/metricsql/binaryop github.com/VictoriaMetrics/metricsql/binaryop