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\n ",seriesCountByLabelValuePair:"\n \n This table returns a list of the label values pairs with the highest number of series.\n
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Isn't it? :)"})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:"What's wrong with this query? Copy-pasted label filters for distinct timeseries which makes it easy to mistype these filters during modification. Let's simplify the query with WITH expressions:"}),Nt(hp,{code:'WITH (\n commonFilters = {instance=~"$node:$port",job=~"$job"}\n)\n(\n node_memory_MemTotal_bytes{commonFilters}\n -\n node_memory_MemFree_bytes{commonFilters}\n)\n /\nnode_memory_MemTotal_bytes{commonFilters} * 100'})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Now label filters are located in a single place instead of three distinct places. The query mentions node_memory_MemTotal_bytes metric twice and ","{commonFilters}"," three times. WITH expressions may improve this:"]}),Nt(hp,{code:'WITH (\n my_resource_utilization(free, limit, filters) = (limit{filters} - free{filters}) / limit{filters} * 100\n)\nmy_resource_utilization(\n node_memory_MemFree_bytes,\n node_memory_MemTotal_bytes,\n {instance=~"$node:$port",job=~"$job"},\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the template function my_resource_utilization() may be used for monitoring arbitrary resources - memory, CPU, network, storage, you name it."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Let's take another nice query from ",Nt(pp,{})," dashboard:"]}),Nt(hp,{code:'(\n (\n (\n count(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n )\n )\n -\n avg(\n sum by (mode) (rate(node_cpu_seconds_total{mode=\'idle\',instance=~"$node:$port",job=~"$job"}[5m]))\n )\n )\n *\n 100\n)\n /\ncount(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Do you understand what does this mess do? 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Extract rate(...) part into cpuIdle variable, since it is clear now that this part calculates the number of idle CPUs:"}),Nt(hp,{code:'WITH (\n commonFilters = {instance=~"$node:$port",job=~"$job"},\n cpuCount = count(count(node_cpu_seconds_total{commonFilters}) by (cpu)),\n cpuIdle = sum(rate(node_cpu_seconds_total{mode=\'idle\',commonFilters}[5m]))\n)\n((cpuCount - cpuIdle) * 100) / cpuCount'})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["4. 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Try expanding the following query:"}),Nt(hp,{code:"WITH (\n f(a, b) = WITH (\n f1(x) = b-x,\n f2(x) = x+x\n ) f1(a)*f2(b)\n) f(foo, with(x=bar) x)"})]})]}),vp=()=>{const{serverUrl:e}=Mt(),[t,n]=He(),[a,o]=(0,r.useState)(""),[i,l]=(0,r.useState)(!1),[s,c]=(0,r.useState)();return{data:a,error:s,loading:i,expand:async r=>{t.set("expr",r),n(t);const a=((e,t)=>"".concat(e,"/expand-with-exprs?query=").concat(encodeURIComponent(t),"&format=json"))(e,r);l(!0);try{const e=await fetch(a),t=await e.json();o((null===t||void 0===t?void 0:t.expr)||""),c(String(t.error||""))}catch(Tp){Tp instanceof Error&&"AbortError"!==Tp.name&&c("".concat(Tp.name,": ").concat(Tp.message))}l(!1)}}},gp=()=>{const[e]=He(),{data:t,loading:n,error:a,expand:o}=vp(),[i,l]=(0,r.useState)(e.get("expr")||""),s=()=>{o(i)};return(0,r.useEffect)((()=>{i&&o(i)}),[]),Nt("section",{className:"vm-with-template",children:[n&&Nt(bl,{}),Nt("div",{className:"vm-with-template-body 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\ No newline at end of file
diff --git a/app/vmselect/vmui/static/js/main.4b213512.js.LICENSE.txt b/app/vmselect/vmui/static/js/main.ff023df1.js.LICENSE.txt
similarity index 89%
rename from app/vmselect/vmui/static/js/main.4b213512.js.LICENSE.txt
rename to app/vmselect/vmui/static/js/main.ff023df1.js.LICENSE.txt
index db76a5f622..665580a084 100644
--- a/app/vmselect/vmui/static/js/main.4b213512.js.LICENSE.txt
+++ b/app/vmselect/vmui/static/js/main.ff023df1.js.LICENSE.txt
@@ -5,7 +5,7 @@
*/
/**
- * @remix-run/router v1.15.1
+ * @remix-run/router v1.17.0
*
* Copyright (c) Remix Software Inc.
*
@@ -16,7 +16,7 @@
*/
/**
- * React Router DOM v6.22.1
+ * React Router DOM v6.24.0
*
* Copyright (c) Remix Software Inc.
*
@@ -27,7 +27,7 @@
*/
/**
- * React Router v6.22.1
+ * React Router v6.24.0
*
* Copyright (c) Remix Software Inc.
*
diff --git a/app/vmselect/vmui/static/media/MetricsQL.aaabf95f2c9bf356bde4.md b/app/vmselect/vmui/static/media/MetricsQL.3de5efa763ef6e05a579.md
similarity index 95%
rename from app/vmselect/vmui/static/media/MetricsQL.aaabf95f2c9bf356bde4.md
rename to app/vmselect/vmui/static/media/MetricsQL.3de5efa763ef6e05a579.md
index d49ccfb6e9..ba795cefe1 100644
--- a/app/vmselect/vmui/static/media/MetricsQL.aaabf95f2c9bf356bde4.md
+++ b/app/vmselect/vmui/static/media/MetricsQL.3de5efa763ef6e05a579.md
@@ -220,9 +220,11 @@ See also [descent_over_time](#descent_over_time).
over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
-See also [median_over_time](#median_over_time).
+See also [median_over_time](#median_over_time), [min_over_time](#min_over_time) and [max_over_time](#max_over_time).
#### changes
@@ -262,6 +264,8 @@ 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_over_time](#count_over_time), [share_eq_over_time](#share_eq_over_time) and [count_values_over_time](#count_values_over_time).
#### count_gt_over_time
@@ -272,6 +276,8 @@ 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_over_time](#count_over_time) and [share_gt_over_time](#share_gt_over_time).
#### count_le_over_time
@@ -282,6 +288,8 @@ 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_over_time](#count_over_time) and [share_le_over_time](#share_le_over_time).
#### count_ne_over_time
@@ -292,7 +300,9 @@ 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.
-See also [count_over_time](#count_over_time).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
+See also [count_over_time](#count_over_time) and [count_eq_over_time](#count_eq_over_time).
#### count_over_time
@@ -313,6 +323,8 @@ 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.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
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
@@ -432,6 +444,8 @@ 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).
+
#### histogram_over_time
`histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
@@ -443,11 +457,15 @@ For example, the following query calculates median temperature by country over t
`histogram_quantile(0.5, sum(histogram_over_time(temperature[24h])) by (vmrange,country))`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
#### hoeffding_bound_lower
`hoeffding_bound_lower(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
lower [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [hoeffding_bound_upper](#hoeffding_bound_upper).
#### hoeffding_bound_upper
@@ -455,6 +473,8 @@ See also [hoeffding_bound_upper](#hoeffding_bound_upper).
`hoeffding_bound_upper(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
upper [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [hoeffding_bound_lower](#hoeffding_bound_lower).
#### holt_winters
@@ -462,8 +482,9 @@ See also [hoeffding_bound_lower](#hoeffding_bound_lower).
`holt_winters(series_selector[d], sf, tf)` is a [rollup function](#rollup-functions), which calculates Holt-Winters value
(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
over the given lookbehind window `d` using the given smoothing factor `sf` and the given trend factor `tf`.
-Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
-returns time series of [gauge type](https://docs.victoriametrics.com/keyconcepts/#gauge).
+Both `sf` and `tf` must be in the range `[0...1]`.
+
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
This function is supported by PromQL.
@@ -495,13 +516,14 @@ See also [deriv](#deriv).
`increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase over the given lookbehind window `d`
per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
Unlike Prometheus, it takes into account the last sample before the given lookbehind window `d` when calculating the result.
See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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).
+
This function is supported by PromQL.
See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
@@ -510,12 +532,13 @@ See also [increase_pure](#increase_pure), [increase_prometheus](#increase_promet
`increase_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase
over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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.
See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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 [increase_pure](#increase_pure) and [increase](#increase).
#### increase_pure
@@ -524,6 +547,10 @@ See also [increase_pure](#increase_pure) and [increase](#increase).
of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyconcepts/#counter) always start from 0,
while [increase](#increase) ignores the first value in a series if it is too big.
+This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
+
+See also [increase](#increas) and [increase_prometheus](#increase_prometheus).
+
#### increases_over_time
`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)
@@ -540,15 +567,18 @@ 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).
+
#### irate
`irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over
the last two [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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).
+
This function is supported by PromQL.
See also [rate](#rate) and [rollup_rate](#rollup_rate).
@@ -587,6 +617,8 @@ See also [duration_over_time](#duration_over_time) and [lag](#lag).
over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outlier_iqr_over_time).
#### max_over_time
@@ -594,9 +626,11 @@ 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](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
-See also [tmax_over_time](#tmax_over_time).
+See also [tmax_over_time](#tmax_over_time) and [min_over_time](#min_over_time).
#### median_over_time
@@ -604,6 +638,8 @@ See also [tmax_over_time](#tmax_over_time).
on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [avg_over_time](#avg_over_time).
#### min_over_time
@@ -611,9 +647,11 @@ 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](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
-See also [tmin_over_time](#tmin_over_time).
+See also [tmin_over_time](#tmin_over_time) and [max_over_time](#max_over_time).
#### mode_over_time
@@ -622,6 +660,8 @@ for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). It is expected that [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
values are discrete.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
#### outlier_iqr_over_time
`outlier_iqr_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last sample on the given lookbehind window `d`
@@ -632,6 +672,8 @@ if its value is either smaller than the `q25-1.5*iqr` or bigger than `q75+1.5*iq
The `outlier_iqr_over_time()` is useful for detecting anomalies in gauge values based on the previous history of values.
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.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [outliers_iqr](#outliers_iqr).
#### predict_linear
@@ -659,6 +701,8 @@ 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/#filtering).
The `phi` value must be in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
See also [quantiles_over_time](#quantiles_over_time).
@@ -670,6 +714,8 @@ over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
The function returns individual series per each `phi*` with `{phiLabel="phi*"}` label. `phi*` values must be in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [quantile_over_time](#quantile_over_time).
#### range_over_time
@@ -680,11 +726,12 @@ E.g. it calculates `max_over_time(series_selector[d]) - min_over_time(series_sel
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).
+
#### rate
`rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average per-second increase rate
over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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
passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query),
@@ -703,6 +750,8 @@ See also [irate](#irate) and [rollup_rate](#rollup_rate).
on the given lookbehind window `d`. The calculations are performed individually per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### resets
@@ -710,10 +759,11 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
`resets(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number
of [counter](https://docs.victoriametrics.com/keyconcepts/#counter) resets over the given lookbehind window `d`
per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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).
+
This function is supported by PromQL.
#### rollup
@@ -725,6 +775,10 @@ These values are calculated individually per each time series returned from the
Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
See also [label_match](#label_match).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
+See also [rollup_rate](#rollup_rate).
+
#### rollup_candlestick
`rollup_candlestick(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `open`, `high`, `low` and `close` values (aka OHLC)
@@ -736,6 +790,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
Optional 2nd argument `"open"`, `"high"` or `"low"` or `"close"` can be passed to keep only one calculation result and without adding a label.
See also [label_match](#label_match).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
#### rollup_delta
`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)
@@ -762,6 +818,8 @@ See also [label_match](#label_match).
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](#rollup) and [rollup_rate](#rollup_rate).
+
#### rollup_increase
`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)
@@ -774,12 +832,17 @@ See also [label_match](#label_match).
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).
+This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
+
+See also [rollup](#rollup) and [rollup_rate](#rollup_rate).
+
#### rollup_rate
`rollup_rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second change rates
for adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second change rates
and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
+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
when to use `rollup_rate()`.
@@ -787,10 +850,12 @@ when to use `rollup_rate()`.
Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
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).
@@ -2230,7 +2317,8 @@ Any [rollup function](#rollup-functions) for something other than [series select
Nested rollup functions can be implicit thanks to the [implicit query conversions](#implicit-query-conversions).
For example, `delta(sum(m))` is implicitly converted to `delta(sum(default_rollup(m))[1i:1i])`, so it becomes a subquery,
since it contains [default_rollup](#default_rollup) nested into [delta](#delta).
-This behavior can be disabled or logged via cmd-line flags `-search.disableImplicitConversion` and `-search.logImplicitConversion` since v1.101.0.
+This behavior can be disabled or logged via `-search.disableImplicitConversion` and `-search.logImplicitConversion` command-line flags
+starting from [`v1.101.0` release](https://docs.victoriametrics.com/changelog/).
VictoriaMetrics performs subqueries in the following way:
@@ -2263,5 +2351,6 @@ VictoriaMetrics performs the following implicit conversions for incoming queries
For example, `avg_over_time(rate(http_requests_total[5m])[1h])` is automatically converted to `avg_over_time(rate(http_requests_total[5m])[1h:1i])`.
* If something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
is passed to [rollup function](#rollup-functions), then a [subquery](#subqueries) with `1i` lookbehind window and `1i` step is automatically formed.
- For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`.
- This behavior can be disabled or logged via cmd-line flags `-search.disableImplicitConversion` and `-search.logImplicitConversion` since v1.101.0.
+ For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`.
+ This behavior can be disabled or logged via `-search.disableImplicitConversion` and `-search.logImplicitConversion` command-line flags
+ starting from [`v1.101.0` release](https://docs.victoriametrics.com/changelog/).
diff --git a/app/vmui/packages/vmui/src/assets/MetricsQL.md b/app/vmui/packages/vmui/src/assets/MetricsQL.md
index d49ccfb6e9..ba795cefe1 100644
--- a/app/vmui/packages/vmui/src/assets/MetricsQL.md
+++ b/app/vmui/packages/vmui/src/assets/MetricsQL.md
@@ -220,9 +220,11 @@ See also [descent_over_time](#descent_over_time).
over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
-See also [median_over_time](#median_over_time).
+See also [median_over_time](#median_over_time), [min_over_time](#min_over_time) and [max_over_time](#max_over_time).
#### changes
@@ -262,6 +264,8 @@ 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_over_time](#count_over_time), [share_eq_over_time](#share_eq_over_time) and [count_values_over_time](#count_values_over_time).
#### count_gt_over_time
@@ -272,6 +276,8 @@ 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_over_time](#count_over_time) and [share_gt_over_time](#share_gt_over_time).
#### count_le_over_time
@@ -282,6 +288,8 @@ 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_over_time](#count_over_time) and [share_le_over_time](#share_le_over_time).
#### count_ne_over_time
@@ -292,7 +300,9 @@ 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.
-See also [count_over_time](#count_over_time).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
+See also [count_over_time](#count_over_time) and [count_eq_over_time](#count_eq_over_time).
#### count_over_time
@@ -313,6 +323,8 @@ 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.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
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
@@ -432,6 +444,8 @@ 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).
+
#### histogram_over_time
`histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
@@ -443,11 +457,15 @@ For example, the following query calculates median temperature by country over t
`histogram_quantile(0.5, sum(histogram_over_time(temperature[24h])) by (vmrange,country))`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
#### hoeffding_bound_lower
`hoeffding_bound_lower(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
lower [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [hoeffding_bound_upper](#hoeffding_bound_upper).
#### hoeffding_bound_upper
@@ -455,6 +473,8 @@ See also [hoeffding_bound_upper](#hoeffding_bound_upper).
`hoeffding_bound_upper(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
upper [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [hoeffding_bound_lower](#hoeffding_bound_lower).
#### holt_winters
@@ -462,8 +482,9 @@ See also [hoeffding_bound_lower](#hoeffding_bound_lower).
`holt_winters(series_selector[d], sf, tf)` is a [rollup function](#rollup-functions), which calculates Holt-Winters value
(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
over the given lookbehind window `d` using the given smoothing factor `sf` and the given trend factor `tf`.
-Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
-returns time series of [gauge type](https://docs.victoriametrics.com/keyconcepts/#gauge).
+Both `sf` and `tf` must be in the range `[0...1]`.
+
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
This function is supported by PromQL.
@@ -495,13 +516,14 @@ See also [deriv](#deriv).
`increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase over the given lookbehind window `d`
per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
Unlike Prometheus, it takes into account the last sample before the given lookbehind window `d` when calculating the result.
See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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).
+
This function is supported by PromQL.
See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
@@ -510,12 +532,13 @@ See also [increase_pure](#increase_pure), [increase_prometheus](#increase_promet
`increase_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase
over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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.
See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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 [increase_pure](#increase_pure) and [increase](#increase).
#### increase_pure
@@ -524,6 +547,10 @@ See also [increase_pure](#increase_pure) and [increase](#increase).
of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyconcepts/#counter) always start from 0,
while [increase](#increase) ignores the first value in a series if it is too big.
+This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
+
+See also [increase](#increas) and [increase_prometheus](#increase_prometheus).
+
#### increases_over_time
`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)
@@ -540,15 +567,18 @@ 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).
+
#### irate
`irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over
the last two [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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).
+
This function is supported by PromQL.
See also [rate](#rate) and [rollup_rate](#rollup_rate).
@@ -587,6 +617,8 @@ See also [duration_over_time](#duration_over_time) and [lag](#lag).
over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outlier_iqr_over_time).
#### max_over_time
@@ -594,9 +626,11 @@ 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](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
-See also [tmax_over_time](#tmax_over_time).
+See also [tmax_over_time](#tmax_over_time) and [min_over_time](#min_over_time).
#### median_over_time
@@ -604,6 +638,8 @@ See also [tmax_over_time](#tmax_over_time).
on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [avg_over_time](#avg_over_time).
#### min_over_time
@@ -611,9 +647,11 @@ 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](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
-See also [tmin_over_time](#tmin_over_time).
+See also [tmin_over_time](#tmin_over_time) and [max_over_time](#max_over_time).
#### mode_over_time
@@ -622,6 +660,8 @@ for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). It is expected that [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
values are discrete.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
#### outlier_iqr_over_time
`outlier_iqr_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last sample on the given lookbehind window `d`
@@ -632,6 +672,8 @@ if its value is either smaller than the `q25-1.5*iqr` or bigger than `q75+1.5*iq
The `outlier_iqr_over_time()` is useful for detecting anomalies in gauge values based on the previous history of values.
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.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [outliers_iqr](#outliers_iqr).
#### predict_linear
@@ -659,6 +701,8 @@ 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/#filtering).
The `phi` value must be in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
This function is supported by PromQL.
See also [quantiles_over_time](#quantiles_over_time).
@@ -670,6 +714,8 @@ over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
The function returns individual series per each `phi*` with `{phiLabel="phi*"}` label. `phi*` values must be in the range `[0...1]`.
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
See also [quantile_over_time](#quantile_over_time).
#### range_over_time
@@ -680,11 +726,12 @@ E.g. it calculates `max_over_time(series_selector[d]) - min_over_time(series_sel
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).
+
#### rate
`rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average per-second increase rate
over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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
passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query),
@@ -703,6 +750,8 @@ See also [irate](#irate) and [rollup_rate](#rollup_rate).
on the given lookbehind window `d`. The calculations are performed individually per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### resets
@@ -710,10 +759,11 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
`resets(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number
of [counter](https://docs.victoriametrics.com/keyconcepts/#counter) resets over the given lookbehind window `d`
per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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).
+
This function is supported by PromQL.
#### rollup
@@ -725,6 +775,10 @@ These values are calculated individually per each time series returned from the
Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
See also [label_match](#label_match).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
+See also [rollup_rate](#rollup_rate).
+
#### rollup_candlestick
`rollup_candlestick(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `open`, `high`, `low` and `close` values (aka OHLC)
@@ -736,6 +790,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
Optional 2nd argument `"open"`, `"high"` or `"low"` or `"close"` can be passed to keep only one calculation result and without adding a label.
See also [label_match](#label_match).
+This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
+
#### rollup_delta
`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)
@@ -762,6 +818,8 @@ See also [label_match](#label_match).
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](#rollup) and [rollup_rate](#rollup_rate).
+
#### rollup_increase
`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)
@@ -774,12 +832,17 @@ See also [label_match](#label_match).
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).
+This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
+
+See also [rollup](#rollup) and [rollup_rate](#rollup_rate).
+
#### rollup_rate
`rollup_rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second change rates
for adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second change rates
and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
+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
when to use `rollup_rate()`.
@@ -787,10 +850,12 @@ when to use `rollup_rate()`.
Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
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).
@@ -2230,7 +2317,8 @@ Any [rollup function](#rollup-functions) for something other than [series select
Nested rollup functions can be implicit thanks to the [implicit query conversions](#implicit-query-conversions).
For example, `delta(sum(m))` is implicitly converted to `delta(sum(default_rollup(m))[1i:1i])`, so it becomes a subquery,
since it contains [default_rollup](#default_rollup) nested into [delta](#delta).
-This behavior can be disabled or logged via cmd-line flags `-search.disableImplicitConversion` and `-search.logImplicitConversion` since v1.101.0.
+This behavior can be disabled or logged via `-search.disableImplicitConversion` and `-search.logImplicitConversion` command-line flags
+starting from [`v1.101.0` release](https://docs.victoriametrics.com/changelog/).
VictoriaMetrics performs subqueries in the following way:
@@ -2263,5 +2351,6 @@ VictoriaMetrics performs the following implicit conversions for incoming queries
For example, `avg_over_time(rate(http_requests_total[5m])[1h])` is automatically converted to `avg_over_time(rate(http_requests_total[5m])[1h:1i])`.
* If something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
is passed to [rollup function](#rollup-functions), then a [subquery](#subqueries) with `1i` lookbehind window and `1i` step is automatically formed.
- For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`.
- This behavior can be disabled or logged via cmd-line flags `-search.disableImplicitConversion` and `-search.logImplicitConversion` since v1.101.0.
+ For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`.
+ This behavior can be disabled or logged via `-search.disableImplicitConversion` and `-search.logImplicitConversion` command-line flags
+ starting from [`v1.101.0` release](https://docs.victoriametrics.com/changelog/).