mirror of
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app/{vmselect,vlselect}: run make vmui-update vmui-logs-update after efd70b2c52
This commit is contained in:
Aliaksandr Valialkin
parent
5dc7ec058f
commit
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11 changed files with 117 additions and 37 deletions
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{
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"files": {
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"main.css": "./static/css/main.1041c3d4.css",
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"main.js": "./static/js/main.62a82f4a.js",
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"main.js": "./static/js/main.8451d9b9.js",
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"static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js",
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"static/media/MetricsQL.md": "./static/media/MetricsQL.aaabf95f2c9bf356bde4.md",
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"static/media/MetricsQL.md": "./static/media/MetricsQL.d46c42c8e891f06298c4.md",
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"index.html": "./index.html"
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},
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"entrypoints": [
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"static/css/main.1041c3d4.css",
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"static/js/main.62a82f4a.js"
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"static/js/main.8451d9b9.js"
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]
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}
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<!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>
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<!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>
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File diff suppressed because one or more lines are too long
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@ -10,9 +10,6 @@ aliases:
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- /ExtendedPromQL.html
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- /MetricsQL.html
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---
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# MetricsQL
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[VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL -
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query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/).
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MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work
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{
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"files": {
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"main.css": "./static/css/main.fce049bf.css",
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"main.js": "./static/js/main.ff023df1.js",
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"main.js": "./static/js/main.36983a8a.js",
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"static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js",
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"static/media/MetricsQL.md": "./static/media/MetricsQL.3de5efa763ef6e05a579.md",
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"static/media/MetricsQL.md": "./static/media/MetricsQL.d46c42c8e891f06298c4.md",
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"index.html": "./index.html"
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},
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"entrypoints": [
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"static/css/main.fce049bf.css",
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"static/js/main.ff023df1.js"
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"static/js/main.36983a8a.js"
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]
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}
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@ -1 +1 @@
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<!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>
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<!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>
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File diff suppressed because one or more lines are too long
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@ -10,9 +10,6 @@ aliases:
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- /ExtendedPromQL.html
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- /MetricsQL.html
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---
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# MetricsQL
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[VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL -
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query language inspired by [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics/).
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MetricsQL is backwards-compatible with PromQL, so Grafana dashboards backed by Prometheus datasource should work
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@ -220,9 +217,11 @@ See also [descent_over_time](#descent_over_time).
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over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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See also [median_over_time](#median_over_time).
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See also [median_over_time](#median_over_time), [min_over_time](#min_over_time) and [max_over_time](#max_over_time).
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#### changes
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@ -262,6 +261,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time), [share_eq_over_time](#share_eq_over_time) and [count_values_over_time](#count_values_over_time).
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#### count_gt_over_time
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@ -272,6 +273,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time) and [share_gt_over_time](#share_gt_over_time).
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#### count_le_over_time
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@ -282,6 +285,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time) and [share_le_over_time](#share_le_over_time).
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#### count_ne_over_time
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@ -292,7 +297,9 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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See also [count_over_time](#count_over_time).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_over_time](#count_over_time) and [count_eq_over_time](#count_eq_over_time).
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#### count_over_time
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values) and [distinct_over_time](#distinct_over_time) and [label_match](#label_match).
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#### decreases_over_time
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@ -432,6 +441,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#f
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### histogram_over_time
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`histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
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@ -443,11 +454,15 @@ For example, the following query calculates median temperature by country over t
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`histogram_quantile(0.5, sum(histogram_over_time(temperature[24h])) by (vmrange,country))`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### hoeffding_bound_lower
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`hoeffding_bound_lower(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
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lower [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [hoeffding_bound_upper](#hoeffding_bound_upper).
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#### hoeffding_bound_upper
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`hoeffding_bound_upper(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates
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upper [Hoeffding bound](https://en.wikipedia.org/wiki/Hoeffding%27s_inequality) for the given `phi` in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [hoeffding_bound_lower](#hoeffding_bound_lower).
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#### holt_winters
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`holt_winters(series_selector[d], sf, tf)` is a [rollup function](#rollup-functions), which calculates Holt-Winters value
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(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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over the given lookbehind window `d` using the given smoothing factor `sf` and the given trend factor `tf`.
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Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
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returns time series of [gauge type](https://docs.victoriametrics.com/keyconcepts/#gauge).
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Both `sf` and `tf` must be in the range `[0...1]`.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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`increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase over the given lookbehind window `d`
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per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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Unlike Prometheus, it takes into account the last sample before the given lookbehind window `d` when calculating the result.
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See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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This function is supported by PromQL.
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See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
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`increase_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase
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over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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It doesn't take into account the last sample before the given lookbehind window `d` when calculating the result in the same way as Prometheus does.
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See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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See also [increase_pure](#increase_pure) and [increase](#increase).
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#### increase_pure
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of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyconcepts/#counter) always start from 0,
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while [increase](#increase) ignores the first value in a series if it is too big.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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See also [increase](#increas) and [increase_prometheus](#increase_prometheus).
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#### increases_over_time
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`increases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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@ -540,15 +564,18 @@ on the given lookbehind window `d` per each time series returned from the given
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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#### irate
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`irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over
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the last two [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
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Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
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This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter).
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This function is supported by PromQL.
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See also [rate](#rate) and [rollup_rate](#rollup_rate).
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over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outlier_iqr_over_time).
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#### max_over_time
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@ -594,9 +623,11 @@ See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outli
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`max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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This function is supported by PromQL.
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See also [tmax_over_time](#tmax_over_time).
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See also [tmax_over_time](#tmax_over_time) and [min_over_time](#min_over_time).
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#### median_over_time
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@ -604,6 +635,8 @@ See also [tmax_over_time](#tmax_over_time).
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on the given lookbehind window `d` per each time series returned
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from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
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This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
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See also [avg_over_time](#avg_over_time).
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#### min_over_time
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@ -611,9 +644,11 @@ See also [avg_over_time](#avg_over_time).
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`min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
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on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
|
||||
|
||||
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 +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)
|
||||
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 +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.
|
||||
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 +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).
|
||||
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 +711,8 @@ 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 +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.
|
||||
|
||||
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 +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
|
||||
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 +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
|
||||
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 +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.
|
||||
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 +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.
|
||||
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 +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.
|
||||
|
||||
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 +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).
|
||||
|
||||
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 +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.
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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.
|
||||
|
||||
This function is usually applied to [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
|
||||
|
||||
This function is supported by PromQL.
|
||||
|
||||
#### 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.
|
||||
|
||||
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 +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.
|
||||
|
||||
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 +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).
|
||||
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 +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])`.
|
||||
* 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/).
|
||||
|
|
@ -10,9 +10,6 @@ aliases:
|
|||
- /ExtendedPromQL.html
|
||||
- /MetricsQL.html
|
||||
---
|
||||
|
||||
# MetricsQL
|
||||
|
||||
[VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) implements MetricsQL -
|
||||
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
|
||||
|
|
|
|||
Loading…
Reference in a new issue