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docs/MetricsQL.md: document which metric types are usually passed to which rollup functions
This should reduce incorrect usage of rollup functions like this one - https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3974#issuecomment-2205574667
This commit is contained in:
Aliaksandr Valialkin
parent
547aa6108e
commit
f9b64cdfe0
@ -220,9 +220,11 @@ See also [descent_over_time](#descent_over_time).
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over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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See also [median_over_time](#median_over_time).
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See also [median_over_time](#median_over_time), [min_over_time](#min_over_time) and [max_over_time](#max_over_time).
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#### changes
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@ -262,6 +264,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time), [share_eq_over_time](#share_eq_over_time) and [count_values_over_time](#count_values_over_time).
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#### count_gt_over_time
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@ -272,6 +276,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time) and [share_gt_over_time](#share_gt_over_time).
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#### count_le_over_time
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@ -282,6 +288,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time) and [share_le_over_time](#share_le_over_time).
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#### count_ne_over_time
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@ -292,7 +300,9 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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See also [count_over_time](#count_over_time).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time) and [count_eq_over_time](#count_eq_over_time).
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#### count_over_time
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@ -313,6 +323,8 @@ The results are calculated independently per each time series returned from the
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values) and [distinct_over_time](#distinct_over_time) and [label_match](#label_match).
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#### decreases_over_time
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@ -432,6 +444,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### histogram_over_time
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`histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
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@ -443,11 +457,15 @@ For example, the following query calculates median temperature by country over t
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`histogram_quantile(0.5, sum(histogram_over_time(temperature[24h])) by (vmrange,country))`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### hoeffding_bound_lower
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`hoeffding_bound_lower(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
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lower [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [hoeffding_bound_upper](#hoeffding_bound_upper).
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#### hoeffding_bound_upper
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@ -455,6 +473,8 @@ See also [hoeffding_bound_upper](#hoeffding_bound_upper).
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`hoeffding_bound_upper(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
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upper [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [hoeffding_bound_lower](#hoeffding_bound_lower).
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#### holt_winters
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@ -462,8 +482,9 @@ See also [hoeffding_bound_lower](#hoeffding_bound_lower).
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`holt_winters(series_selector[d], sf, tf)` is a [rollup function](#rollup-functions), which calculates Holt-Winters value
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(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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over the given lookbehind window `d` using the given smoothing factor `sf` and the given trend factor `tf`.
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Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
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returns time series of [gauge type](https://docs.victoriametrics.com/keyconcepts/#gauge).
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Both `sf` and `tf` must be in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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@ -495,13 +516,14 @@ See also [deriv](#deriv).
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`increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase over the given lookbehind window `d`
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per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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Unlike Prometheus, it takes into account the last sample before the given lookbehind window `d` when calculating the result.
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See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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This function is supported by PromQL.
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See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
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@ -510,12 +532,13 @@ See also [increase_pure](#increase_pure), [increase_prometheus](#increase_promet
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`increase_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase
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over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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It doesn't take into account the last sample before the given lookbehind window `d` when calculating the result in the same way as Prometheus does.
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See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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See also [increase_pure](#increase_pure) and [increase](#increase).
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#### increase_pure
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@ -524,6 +547,10 @@ See also [increase_pure](#increase_pure) and [increase](#increase).
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of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyconcepts/#counter) always start from 0,
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while [increase](#increase) ignores the first value in a series if it is too big.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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See also [increase](#increas) and [increase_prometheus](#increase_prometheus).
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#### increases_over_time
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`increases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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@ -540,15 +567,18 @@ on the given lookbehind window `d` per each time series returned from the given
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### irate
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`irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over
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the last two [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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This function is supported by PromQL.
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See also [rate](#rate) and [rollup_rate](#rollup_rate).
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@ -587,6 +617,8 @@ See also [duration_over_time](#duration_over_time) and [lag](#lag).
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over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outlier_iqr_over_time).
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#### max_over_time
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@ -594,9 +626,11 @@ See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outli
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`max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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See also [tmax_over_time](#tmax_over_time).
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See also [tmax_over_time](#tmax_over_time) and [min_over_time](#min_over_time).
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#### median_over_time
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@ -604,6 +638,8 @@ See also [tmax_over_time](#tmax_over_time).
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on the given lookbehind window `d` per each time series returned
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [avg_over_time](#avg_over_time).
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#### min_over_time
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@ -611,9 +647,11 @@ See also [avg_over_time](#avg_over_time).
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`min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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See also [tmin_over_time](#tmin_over_time).
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See also [tmin_over_time](#tmin_over_time) and [max_over_time](#max_over_time).
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#### mode_over_time
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@ -622,6 +660,8 @@ for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). It is expected that [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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values are discrete.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### outlier_iqr_over_time
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`outlier_iqr_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last sample on the given lookbehind window `d`
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@ -632,6 +672,8 @@ if its value is either smaller than the `q25-1.5*iqr` or bigger than `q75+1.5*iq
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The `outlier_iqr_over_time()` is useful for detecting anomalies in gauge values based on the previous history of values.
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For example, `outlier_iqr_over_time(memory_usage_bytes[1h])` triggers when `memory_usage_bytes` suddenly goes outside the usual value range for the last hour.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [outliers_iqr](#outliers_iqr).
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#### predict_linear
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@ -659,6 +701,8 @@ This function is supported by PromQL.
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on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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The `phi` value must be in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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See also [quantiles_over_time](#quantiles_over_time).
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@ -670,6 +714,8 @@ over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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The function returns individual series per each `phi*` with `{phiLabel="phi*"}` label. `phi*` values must be in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [quantile_over_time](#quantile_over_time).
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#### range_over_time
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@ -680,11 +726,12 @@ E.g. it calculates `max_over_time(series_selector[d]) - min_over_time(series_sel
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### rate
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`rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average per-second increase rate
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over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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If the lookbehind window is skipped in square brackets, then it is automatically calculated as `max(step, scrape_interval)`, where `step` is the query arg value
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passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query),
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@ -703,6 +750,8 @@ See also [irate](#irate) and [rollup_rate](#rollup_rate).
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on the given lookbehind window `d`. The calculations are performed individually per each time series returned
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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#### resets
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@ -710,10 +759,11 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
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`resets(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number
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of [counter](https://docs.victoriametrics.com/keyconcepts/#counter) resets over the given lookbehind window `d`
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per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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This function is supported by PromQL.
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#### rollup
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@ -725,6 +775,10 @@ These values are calculated individually per each time series returned from the
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Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
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See also [label_match](#label_match).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [rollup_rate](#rollup_rate).
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#### rollup_candlestick
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`rollup_candlestick(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `open`, `high`, `low` and `close` values (aka OHLC)
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@ -736,6 +790,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Optional 2nd argument `"open"`, `"high"` or `"low"` or `"close"` can be passed to keep only one calculation result and without adding a label.
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See also [label_match](#label_match).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### rollup_delta
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`rollup_delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates differences between adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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@ -762,6 +818,8 @@ See also [label_match](#label_match).
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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See also [rollup](#rollup) and [rollup_rate](#rollup_rate).
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#### rollup_increase
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`rollup_increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates increases for adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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@ -774,12 +832,17 @@ See also [label_match](#label_match).
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [rollup_delta](#rollup_delta).
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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See also [rollup](#rollup) and [rollup_rate](#rollup_rate).
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#### rollup_rate
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`rollup_rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second change rates
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for adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second change rates
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and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
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The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
|
||||
|
||||
See [this article](https://valyala.medium.com/why-irate-from-prometheus-doesnt-capture-spikes-45f9896d7832) in order to understand better
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||||
when to use `rollup_rate()`.
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@ -787,10 +850,12 @@ when to use `rollup_rate()`.
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Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
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||||
See also [label_match](#label_match).
|
||||
|
||||
The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
|
||||
|
||||
See also [rollup](#rollup) and [rollup_increase](#rollup_increase).
|
||||
|
||||
#### rollup_scrape_interval
|
||||
|
||||
`rollup_scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the interval in seconds between
|
||||
@ -824,6 +889,8 @@ This function is useful for calculating SLI and SLO. Example: `share_gt_over_tim
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
See also [share_le_over_time](#share_le_over_time) and [count_gt_over_time](#count_gt_over_time).
|
||||
|
||||
#### share_le_over_time
|
||||
@ -838,6 +905,8 @@ the share of time series values for the last 24 hours when memory usage was belo
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
See also [share_gt_over_time](#share_gt_over_time) and [count_le_over_time](#count_le_over_time).
|
||||
|
||||
#### share_eq_over_time
|
||||
@ -849,6 +918,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
See also [count_eq_over_time](#count_eq_over_time).
|
||||
|
||||
#### stale_samples_over_time
|
||||
@ -866,6 +937,8 @@ on the given lookbehind window `d` per each time series returned from the given
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
This function is supported by PromQL.
|
||||
|
||||
See also [stdvar_over_time](#stdvar_over_time).
|
||||
@ -877,6 +950,8 @@ on the given lookbehind window `d` per each time series returned from the given
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
This function is supported by PromQL.
|
||||
|
||||
See also [stddev_over_time](#stddev_over_time).
|
||||
@ -888,6 +963,8 @@ values equal to `eq` on the given lookbehind window `d` per each time series ret
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
See also [sum_over_time](#sum_over_time) and [count_eq_over_time](#count_eq_over_time).
|
||||
|
||||
#### sum_gt_over_time
|
||||
@ -897,6 +974,8 @@ values bigger than `gt` on the given lookbehind window `d` per each time series
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
See also [sum_over_time](#sum_over_time) and [count_gt_over_time](#count_gt_over_time).
|
||||
|
||||
#### sum_le_over_time
|
||||
@ -906,6 +985,8 @@ values smaller or equal to `le` on the given lookbehind window `d` per each time
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
See also [sum_over_time](#sum_over_time) and [count_le_over_time](#count_le_over_time).
|
||||
|
||||
#### sum_over_time
|
||||
@ -915,6 +996,8 @@ on the given lookbehind window `d` per each time series returned from the given
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
This function is supported by PromQL.
|
||||
|
||||
#### sum2_over_time
|
||||
@ -924,6 +1007,8 @@ values on the given lookbehind window `d` per each time series returned from the
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
#### timestamp
|
||||
|
||||
`timestamp(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision
|
||||
@ -1001,6 +1086,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
|
||||
|
||||
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
See also [zscore](#zscore), [range_trim_zscore](#range_trim_zscore) and [outlier_iqr_over_time](#outlier_iqr_over_time).
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user