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@ -186,7 +186,9 @@ The list of supported rollup functions:
`absent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns 1
if the given lookbehind window `d` doesn't contain raw samples. Otherwise, it returns an empty result.
This function is supported by PromQL. See also [present_over_time](#present_over_time).
This function is supported by PromQL.
See also [present_over_time](#present_over_time).
#### aggr_over_time
@ -216,7 +218,9 @@ See also [descent_over_time](#descent_over_time).
over raw samples on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
This function is supported by PromQL. See also [median_over_time](#median_over_time).
This function is supported by PromQL.
See also [median_over_time](#median_over_time).
#### changes
@ -229,7 +233,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co
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 supported by PromQL. See also [changes_prometheus](#changes_prometheus).
This function is supported by PromQL.
See also [changes_prometheus](#changes_prometheus).
#### changes_prometheus
@ -242,7 +248,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co
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 supported by PromQL. See also [changes](#changes).
This function is supported by PromQL.
See also [changes](#changes).
#### count_eq_over_time
@ -291,8 +299,9 @@ 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 supported by PromQL. See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time),
[count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time).
This function is supported by PromQL.
See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), [count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time).
#### count_values_over_time
@ -302,7 +311,7 @@ The results are calculated independently 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.
See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values) and [distinct_over_time](#distinct_over_time).
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).
#### decreases_over_time
@ -334,7 +343,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co
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 supported by PromQL. See also [increase](#increase) and [delta_prometheus](#delta_prometheus).
This function is supported by PromQL.
See also [increase](#increase) and [delta_prometheus](#delta_prometheus).
#### delta_prometheus
@ -357,7 +368,9 @@ The derivative is calculated using linear regression.
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 supported by PromQL. See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv).
This function is supported by PromQL.
See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv).
#### deriv_fast
@ -449,7 +462,9 @@ over the given lookbehind window `d` using the given smoothing factor `sf` and t
Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering)
returns time series of [gauge type](https://docs.victoriametrics.com/keyConcepts.html#gauge).
This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression).
This function is supported by PromQL.
See also [range_linear_regression](#range_linear_regression).
#### idelta
@ -458,7 +473,9 @@ 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 supported by PromQL. See also [delta](#delta).
This function is supported by PromQL.
See also [delta](#delta).
#### ideriv
@ -481,7 +498,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co
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 supported by PromQL. See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
This function is supported by PromQL.
See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
#### increase_prometheus
@ -525,7 +544,9 @@ It is expected that the `series_selector` returns time series of [counter type](
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 supported by PromQL. See also [rate](#rate) and [rollup_rate](#rollup_rate).
This function is supported by PromQL.
See also [rate](#rate) and [rollup_rate](#rollup_rate).
#### lag
@ -542,7 +563,9 @@ See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time).
`last_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d`
per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
This function is supported by PromQL. See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time).
This function is supported by PromQL.
See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time).
#### lifetime
@ -565,7 +588,9 @@ See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outli
`max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over raw samples
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
This function is supported by PromQL. See also [tmax_over_time](#tmax_over_time).
This function is supported by PromQL.
See also [tmax_over_time](#tmax_over_time).
#### median_over_time
@ -580,7 +605,9 @@ See also [avg_over_time](#avg_over_time).
`min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over raw samples
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
This function is supported by PromQL. See also [tmin_over_time](#tmin_over_time).
This function is supported by PromQL.
See also [tmin_over_time](#tmin_over_time).
#### mode_over_time
@ -606,7 +633,9 @@ See also [outliers_iqr](#outliers_iqr).
linear interpolation over raw samples on the given lookbehind window `d`. The predicted value is calculated individually per each time series
returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression).
This function is supported by PromQL.
See also [range_linear_regression](#range_linear_regression).
#### present_over_time
@ -623,7 +652,9 @@ This function is supported by PromQL.
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
The `phi` value must be in the range `[0...1]`.
This function is supported by PromQL. See also [quantiles_over_time](#quantiles_over_time).
This function is supported by PromQL.
See also [quantiles_over_time](#quantiles_over_time).
#### quantiles_over_time
@ -655,7 +686,9 @@ This allows avoiding unexpected gaps on the graph when `step` is smaller than th
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 supported by PromQL. See also [irate](#irate) and [rollup_rate](#rollup_rate).
This function is supported by PromQL.
See also [irate](#irate) and [rollup_rate](#rollup_rate).
#### rate_over_sum
@ -820,7 +853,9 @@ 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 supported by PromQL. See also [stdvar_over_time](#stdvar_over_time).
This function is supported by PromQL.
See also [stdvar_over_time](#stdvar_over_time).
#### stdvar_over_time
@ -829,7 +864,9 @@ 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 supported by PromQL. See also [stddev_over_time](#stddev_over_time).
This function is supported by PromQL.
See also [stddev_over_time](#stddev_over_time).
#### sum_eq_over_time
@ -881,7 +918,9 @@ 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 supported by PromQL. See also [time](#time) and [now](#now).
This function is supported by PromQL.
See also [time](#time) and [now](#now).
#### timestamp_with_name
@ -975,7 +1014,9 @@ This function is supported by PromQL.
`absent(q)` is a [transform function](#transform-functions), which returns 1 if `q` has no points. Otherwise, returns an empty result.
This function is supported by PromQL. See also [absent_over_time](#absent_over_time).
This function is supported by PromQL.
See also [absent_over_time](#absent_over_time).
#### acos
@ -984,7 +1025,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [asin](#asin) and [cos](#cos).
This function is supported by PromQL.
See also [asin](#asin) and [cos](#cos).
#### acosh
@ -993,7 +1036,9 @@ This function is supported by PromQL. See also [asin](#asin) and [cos](#cos).
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [sinh](#cosh).
This function is supported by PromQL.
See also [sinh](#cosh).
#### asin
@ -1002,7 +1047,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [acos](#acos) and [sin](#sin).
This function is supported by PromQL.
See also [acos](#acos) and [sin](#sin).
#### asinh
@ -1011,7 +1058,9 @@ This function is supported by PromQL. See also [acos](#acos) and [sin](#sin).
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [sinh](#sinh).
This function is supported by PromQL.
See also [sinh](#sinh).
#### atan
@ -1020,7 +1069,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [tan](#tan).
This function is supported by PromQL.
See also [tan](#tan).
#### atanh
@ -1029,7 +1080,9 @@ This function is supported by PromQL. See also [tan](#tan).
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [tanh](#tanh).
This function is supported by PromQL.
See also [tanh](#tanh).
#### bitmap_and
@ -1060,25 +1113,33 @@ See also [prometheus_buckets](#prometheus_buckets) and [histogram_quantile](#his
`ceil(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the upper nearest integer.
This function is supported by PromQL. See also [floor](#floor) and [round](#round).
This function is supported by PromQL.
See also [floor](#floor) and [round](#round).
#### clamp
`clamp(q, min, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` and `max` values.
This function is supported by PromQL. See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max).
This function is supported by PromQL.
See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max).
#### clamp_max
`clamp_max(q, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `max` value.
This function is supported by PromQL. See also [clamp](#clamp) and [clamp_min](#clamp_min).
This function is supported by PromQL.
See also [clamp](#clamp) and [clamp_min](#clamp_min).
#### clamp_min
`clamp_min(q, min)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` value.
This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](#clamp_max).
This function is supported by PromQL.
See also [clamp](#clamp) and [clamp_max](#clamp_max).
#### cos
@ -1086,7 +1147,9 @@ This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](#
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [sin](#sin).
This function is supported by PromQL.
See also [sin](#sin).
#### cosh
@ -1095,7 +1158,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [acosh](#acosh).
This function is supported by PromQL.
See also [acosh](#acosh).
#### day_of_month
@ -1106,6 +1171,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke
This function is supported by PromQL.
See also [day_of_week](#day_of_week) and [day_of_year](#day_of_year).
#### day_of_week
`day_of_week(q)` is a [transform function](#transform-functions), which returns the day of week for every point of every time series returned by `q`.
@ -1115,6 +1182,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke
This function is supported by PromQL.
See also [day_of_month](#day_of_month) and [day_of_year](#day_of_year).
#### day_of_year
`day_of_year(q)` is a [transform function](#transform-functions), which returns the day of year for every point of every time series returned by `q`.
@ -1124,6 +1193,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke
This function is supported by PromQL.
See also [day_of_week](#day_of_week) and [day_of_month](#day_of_month).
#### days_in_month
`days_in_month(q)` is a [transform function](#transform-functions), which returns the number of days in the month identified
@ -1141,7 +1212,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [rad](#rad).
This function is supported by PromQL.
See also [rad](#rad).
#### drop_empty_series
@ -1167,13 +1240,17 @@ See also [start](#start), [time](#time) and [now](#now).
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [ln](#ln).
This function is supported by PromQL.
See also [ln](#ln).
#### floor
`floor(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the lower nearest integer.
This function is supported by PromQL. See also [ceil](#ceil) and [round](#round).
This function is supported by PromQL.
See also [ceil](#ceil) and [round](#round).
#### histogram_avg
@ -1196,8 +1273,9 @@ When the [percentile](https://en.wikipedia.org/wiki/Percentile) is calculated ov
then all the input histograms **must** have buckets with identical boundaries, e.g. they must have the same set of `le` or `vmrange` labels.
Otherwise, the returned result may be invalid. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3231) for details.
This function is supported by PromQL (except of the `boundLabel` arg). See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share)
and [quantile](#quantile).
This function is supported by PromQL (except of the `boundLabel` arg).
See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share) and [quantile](#quantile).
#### histogram_quantiles
@ -1269,7 +1347,9 @@ This allows implementing simple paging for `q` time series. See also [limitk](#l
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [exp](#exp) and [log2](#log2).
This function is supported by PromQL.
See also [exp](#exp) and [log2](#log2).
#### log2
@ -1277,7 +1357,9 @@ This function is supported by PromQL. See also [exp](#exp) and [log2](#log2).
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [log10](#log10) and [ln](#ln).
This function is supported by PromQL.
See also [log10](#log10) and [ln](#ln).
#### log10
@ -1285,7 +1367,9 @@ This function is supported by PromQL. See also [log10](#log10) and [ln](#ln).
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [log2](#log2) and [ln](#ln).
This function is supported by PromQL.
See also [log2](#log2) and [ln](#ln).
#### minute
@ -1324,7 +1408,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by PromQL. See also [deg](#deg).
This function is supported by PromQL.
See also [deg](#deg).
#### prometheus_buckets
@ -1452,7 +1538,9 @@ for points returned by `q`, e.g. it is equivalent to the following query: `(q -
`round(q, nearest)` is a [transform function](#transform-functions), which rounds every point of every time series returned by `q` to the `nearest` multiple.
If `nearest` is missing then the rounding is performed to the nearest integer.
This function is supported by PromQL. See also [floor](#floor) and [ceil](#ceil).
This function is supported by PromQL.
See also [floor](#floor) and [ceil](#ceil).
#### ru
@ -1496,7 +1584,9 @@ This function is supported by PromQL.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by MetricsQL. See also [cos](#cos).
This function is supported by MetricsQL.
See also [cos](#cos).
#### sinh
@ -1505,7 +1595,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by MetricsQL. See also [cosh](#cosh).
This function is supported by MetricsQL.
See also [cosh](#cosh).
#### tan
@ -1513,7 +1605,9 @@ This function is supported by MetricsQL. See also [cosh](#cosh).
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by MetricsQL. See also [atan](#atan).
This function is supported by MetricsQL.
See also [atan](#atan).
#### tanh
@ -1522,7 +1616,9 @@ for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
This function is supported by MetricsQL. See also [atanh](#atanh).
This function is supported by MetricsQL.
See also [atanh](#atanh).
#### smooth_exponential
@ -1533,13 +1629,17 @@ by `q` using [exponential moving average](https://en.wikipedia.org/wiki/Moving_a
`sort(q)` is a [transform function](#transform-functions), which sorts series in ascending order by the last point in every time series returned by `q`.
This function is supported by PromQL. See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label).
This function is supported by PromQL.
See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label).
#### sort_desc
`sort_desc(q)` is a [transform function](#transform-functions), which sorts series in descending order by the last point in every time series returned by `q`.
This function is supported by PromQL. See also [sort](#sort) and [sort_by_label](#sort_by_label_desc).
This function is supported by PromQL.
See also [sort](#sort) and [sort_by_label](#sort_by_label_desc).
#### sqrt
@ -1568,7 +1668,9 @@ See also [start](#start) and [end](#end).
`time()` is a [transform function](#transform-functions), which returns unix timestamp for every returned point.
This function is supported by PromQL. See also [timestamp](#timestamp), [now](#now), [start](#start) and [end](#end).
This function is supported by PromQL.
See also [timestamp](#timestamp), [now](#now), [start](#start) and [end](#end).
#### timezone_offset
@ -1822,7 +1924,9 @@ This function is supported by PromQL.
`bottomk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the smallest values across all the time series returned by `q`.
The aggregate is calculated individually per each group of points with the same timestamp.
This function is supported by PromQL. See also [topk](#topk).
This function is supported by PromQL.
See also [topk](#topk), [bottomk_min](#bottomk_min) and [#bottomk_last](#bottomk_last).
#### bottomk_avg
@ -1884,7 +1988,7 @@ The aggregate is calculated individually per each group of points with the same
This function is supported by PromQL.
See also [count_values_over_time](#count_values_over_time).
See also [count_values_over_time](#count_values_over_time) and [label_match](#label_match).
#### distinct
@ -2044,7 +2148,9 @@ for all the time series returned by `q`. The aggregate is calculated individuall
`topk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the biggest values across all the time series returned by `q`.
The aggregate is calculated individually per each group of points with the same timestamp.
This function is supported by PromQL. See also [bottomk](#bottomk).
This function is supported by PromQL.
See also [bottomk](#bottomk), [topk_max](#topk_max) and [topk_last](#topk_last).
#### topk_avg