github-mirrors/VictoriaMetrics
1
0
Fork 0
mirror of https://github.com/VictoriaMetrics/VictoriaMetrics.git synced 2024-11-21 14:44:00 +00:00
Code Issues Projects Releases Packages Wiki Activity

app/{vmselect,vlselect}: run make vmui-update vmui-logs-update after efd70b2c52

Browse source
This commit is contained in:
Aliaksandr Valialkin 2024-07-27 13:50:31 +02:00
parent 5dc7ec058f
commit 9a3f44e79c
No known key found for this signature in database
GPG key ID: 52C003EE2BCDB9EB
11 changed files with 117 additions and 37 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

6
app/vlselect/vmui/asset-manifest.json
View file

@ -1,13 +1,13 @@
{ {
"files": { "files": {
"main.css": "./static/css/main.1041c3d4.css", "main.css": "./static/css/main.1041c3d4.css",
"main.js": "./static/js/main.62a82f4a.js", "main.js": "./static/js/main.8451d9b9.js",
"static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js", "static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js",
"static/media/MetricsQL.md": "./static/media/MetricsQL.aaabf95f2c9bf356bde4.md", "static/media/MetricsQL.md": "./static/media/MetricsQL.d46c42c8e891f06298c4.md",
"index.html": "./index.html" "index.html": "./index.html"
}, },
"entrypoints": [ "entrypoints": [
"static/css/main.1041c3d4.css", "static/css/main.1041c3d4.css",
"static/js/main.62a82f4a.js" "static/js/main.8451d9b9.js"
] ]
} }

2
app/vlselect/vmui/index.html
View file

@ -1 +1 @@
<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.62a82f4a.js"></script><link href="./static/css/main.1041c3d4.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html> <!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.8451d9b9.js"></script><link href="./static/css/main.1041c3d4.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>

4
app/vlselect/vmui/static/js/main.62a82f4a.js → app/vlselect/vmui/static/js/main.8451d9b9.js
View file

File diff suppressed because one or more lines are too long

0
app/vlselect/vmui/static/js/main.62a82f4a.js.LICENSE.txt → app/vlselect/vmui/static/js/main.8451d9b9.js.LICENSE.txt
View file

3
app/vmselect/vmui/static/media/MetricsQL.3de5efa763ef6e05a579.md → app/vlselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md
View file

@ -10,9 +10,6 @@ aliases:
- /ExtendedPromQL.html - /ExtendedPromQL.html
- /MetricsQL.html - /MetricsQL.html
--- ---
# MetricsQL
[VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL - [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL -
query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/). query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/).
MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work

6
app/vmselect/vmui/asset-manifest.json
View file

@ -1,13 +1,13 @@
{ {
"files": { "files": {
"main.css": "./static/css/main.fce049bf.css", "main.css": "./static/css/main.fce049bf.css",
"main.js": "./static/js/main.ff023df1.js", "main.js": "./static/js/main.36983a8a.js",
"static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js", "static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js",
"static/media/MetricsQL.md": "./static/media/MetricsQL.3de5efa763ef6e05a579.md", "static/media/MetricsQL.md": "./static/media/MetricsQL.d46c42c8e891f06298c4.md",
"index.html": "./index.html" "index.html": "./index.html"
}, },
"entrypoints": [ "entrypoints": [
"static/css/main.fce049bf.css", "static/css/main.fce049bf.css",
"static/js/main.ff023df1.js" "static/js/main.36983a8a.js"
] ]
} }

2
app/vmselect/vmui/index.html
View file

@ -1 +1 @@
<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.ff023df1.js"></script><link href="./static/css/main.fce049bf.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html> <!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.36983a8a.js"></script><link href="./static/css/main.fce049bf.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>

4
app/vmselect/vmui/static/js/main.ff023df1.js → app/vmselect/vmui/static/js/main.36983a8a.js
View file

File diff suppressed because one or more lines are too long

0
app/vmselect/vmui/static/js/main.ff023df1.js.LICENSE.txt → app/vmselect/vmui/static/js/main.36983a8a.js.LICENSE.txt
View file

124
app/vlselect/vmui/static/media/MetricsQL.aaabf95f2c9bf356bde4.md → app/vmselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md
View file

@ -10,9 +10,6 @@ aliases:
- /ExtendedPromQL.html - /ExtendedPromQL.html
- /MetricsQL.html - /MetricsQL.html
--- ---
# MetricsQL
[VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL - [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL -
query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/). query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/).
MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work
@ -220,9 +217,11 @@ 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 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). 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. 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 #### changes
@ -262,6 +261,8 @@ 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. 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). 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 #### count_gt_over_time
@ -272,6 +273,8 @@ 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. 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). See also [count_over_time](#count_over_time) and [share_gt_over_time](#share_gt_over_time).
#### count_le_over_time #### count_le_over_time
@ -282,6 +285,8 @@ 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. 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). See also [count_over_time](#count_over_time) and [share_le_over_time](#share_le_over_time).
#### count_ne_over_time #### count_ne_over_time
@ -292,7 +297,9 @@ 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. 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 #### count_over_time
@ -313,6 +320,8 @@ 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. 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). 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 #### decreases_over_time
@ -432,6 +441,8 @@ 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. 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
`histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
@ -443,11 +454,15 @@ 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))`. `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
`hoeffding_bound_lower(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates `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]`. 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). See also [hoeffding_bound_upper](#hoeffding_bound_upper).
#### hoeffding_bound_upper #### hoeffding_bound_upper
@ -455,6 +470,8 @@ See also [hoeffding_bound_upper](#hoeffding_bound_upper).
`hoeffding_bound_upper(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates `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]`. 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). See also [hoeffding_bound_lower](#hoeffding_bound_lower).
#### holt_winters #### holt_winters
@ -462,8 +479,9 @@ 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 `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) (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`. 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) Both `sf` and `tf` must be in the range `[0...1]`.
returns time series of [gauge type](https://docs.victoriametrics.com/keyconcepts/#gauge).
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
This function is supported by PromQL. This function is supported by PromQL.
@ -495,13 +513,14 @@ See also [deriv](#deriv).
`increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase over the given lookbehind window `d` `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). 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. 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. 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. 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. This function is supported by PromQL.
See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
@ -510,12 +529,13 @@ 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 `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). 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. 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. 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. 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). See also [increase_pure](#increase_pure) and [increase](#increase).
#### increase_pure #### increase_pure
@ -524,6 +544,10 @@ 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, 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. 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
`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) `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 +564,18 @@ 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. 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
`irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over `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) 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). 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. 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. This function is supported by PromQL.
See also [rate](#rate) and [rollup_rate](#rollup_rate). See also [rate](#rate) and [rollup_rate](#rollup_rate).
@ -587,6 +614,8 @@ 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 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). 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). See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outlier_iqr_over_time).
#### max_over_time #### max_over_time
@ -594,9 +623,11 @@ 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) `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). 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. 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 #### median_over_time
@ -604,6 +635,8 @@ See also [tmax_over_time](#tmax_over_time).
on the given lookbehind window `d` per each time series returned on the given lookbehind window `d` per each time series returned
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). 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). See also [avg_over_time](#avg_over_time).
#### min_over_time #### min_over_time
@ -611,9 +644,11 @@ 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) `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). 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. 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 #### mode_over_time
@ -622,6 +657,8 @@ 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) 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. values are discrete.
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
#### outlier_iqr_over_time #### 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` `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 +669,8 @@ 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. 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. 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). See also [outliers_iqr](#outliers_iqr).
#### predict_linear #### predict_linear
@ -659,6 +698,8 @@ 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). 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]`. 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. This function is supported by PromQL.
See also [quantiles_over_time](#quantiles_over_time). See also [quantiles_over_time](#quantiles_over_time).
@ -670,6 +711,8 @@ over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on
from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). 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]`. 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). See also [quantile_over_time](#quantile_over_time).
#### range_over_time #### range_over_time
@ -680,11 +723,12 @@ 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. 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
`rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average per-second increase 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). 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 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), 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 +747,8 @@ 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 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). 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. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### resets #### resets
@ -710,10 +756,11 @@ 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 `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` 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). 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. 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. This function is supported by PromQL.
#### rollup #### rollup
@ -725,6 +772,10 @@ 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. 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). 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
`rollup_candlestick(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `open`, `high`, `low` and `close` values (aka OHLC) `rollup_candlestick(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `open`, `high`, `low` and `close` values (aka OHLC)
@ -736,6 +787,8 @@ 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. 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). See also [label_match](#label_match).
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
#### rollup_delta #### 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) `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 +815,8 @@ 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. 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
`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) `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 +829,17 @@ 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). 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
`rollup_rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second change rates `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) 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 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. 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 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()`. when to use `rollup_rate()`.
@ -787,10 +847,12 @@ 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. 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). 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. 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
`rollup_scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the interval in seconds between `rollup_scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the interval in seconds between
@ -824,6 +886,8 @@ 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. 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). See also [share_le_over_time](#share_le_over_time) and [count_gt_over_time](#count_gt_over_time).
#### share_le_over_time #### share_le_over_time
@ -838,6 +902,8 @@ 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. 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). See also [share_gt_over_time](#share_gt_over_time) and [count_le_over_time](#count_le_over_time).
#### share_eq_over_time #### share_eq_over_time
@ -849,6 +915,8 @@ 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. 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). See also [count_eq_over_time](#count_eq_over_time).
#### stale_samples_over_time #### stale_samples_over_time
@ -866,6 +934,8 @@ 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. 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. This function is supported by PromQL.
See also [stdvar_over_time](#stdvar_over_time). See also [stdvar_over_time](#stdvar_over_time).
@ -877,6 +947,8 @@ 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. 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. This function is supported by PromQL.
See also [stddev_over_time](#stddev_over_time). See also [stddev_over_time](#stddev_over_time).
@ -888,6 +960,8 @@ 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. 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). See also [sum_over_time](#sum_over_time) and [count_eq_over_time](#count_eq_over_time).
#### sum_gt_over_time #### sum_gt_over_time
@ -897,6 +971,8 @@ 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. 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). See also [sum_over_time](#sum_over_time) and [count_gt_over_time](#count_gt_over_time).
#### sum_le_over_time #### sum_le_over_time
@ -906,6 +982,8 @@ 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. 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). See also [sum_over_time](#sum_over_time) and [count_le_over_time](#count_le_over_time).
#### sum_over_time #### sum_over_time
@ -915,6 +993,8 @@ 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. 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. This function is supported by PromQL.
#### sum2_over_time #### sum2_over_time
@ -924,6 +1004,8 @@ 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. 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
`timestamp(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision `timestamp(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision
@ -1001,6 +1083,8 @@ 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. 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). See also [zscore](#zscore), [range_trim_zscore](#range_trim_zscore) and [outlier_iqr_over_time](#outlier_iqr_over_time).
@ -2230,7 +2314,8 @@ 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). 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, 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). 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: VictoriaMetrics performs subqueries in the following way:
@ -2263,5 +2348,6 @@ 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])`. 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) * 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. 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])`. 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. 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/).

3
app/vmui/packages/vmui/src/assets/MetricsQL.md
View file

@ -10,9 +10,6 @@ aliases:
- /ExtendedPromQL.html - /ExtendedPromQL.html
- /MetricsQL.html - /MetricsQL.html
--- ---
# MetricsQL
[VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL - [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL -
query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/). query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/).
MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work