From 8995b04886462cc6b3e0ac31a2863fb233b8f3db Mon Sep 17 00:00:00 2001 From: Aliaksandr Valialkin Date: Fri, 23 Feb 2024 01:40:48 +0200 Subject: [PATCH] app/{vmselect,vlselect}/vmui: run `make vmui-update vmui-logs-update` after recent changes to app/vmui --- app/vlselect/vmui/asset-manifest.json | 12 +- app/vlselect/vmui/index.html | 2 +- .../vmui/static/css/main.1e22ee10.css | 1 - .../vmui/static/css/main.2f84903e.css | 1 + .../vmui/static/js/522.da77e7b3.chunk.js | 1 - .../vmui/static/js/685.bebe1265.chunk.js | 1 + app/vlselect/vmui/static/js/main.40670a5a.js | 2 + .../static/js/main.40670a5a.js.LICENSE.txt} | 8 +- app/vlselect/vmui/static/js/main.92cf3903.js | 2 - .../media/MetricsQL.61a686c0661a23e4f2eb.md} | 325 +++++++++++----- app/vmselect/vmui/asset-manifest.json | 12 +- app/vmselect/vmui/index.html | 2 +- .../vmui/static/css/main.3e2bc898.css | 1 + .../vmui/static/css/main.be4fee7a.css | 1 - .../vmui/static/js/522.da77e7b3.chunk.js | 1 - .../vmui/static/js/685.bebe1265.chunk.js | 1 + app/vmselect/vmui/static/js/main.3b2eb92f.js | 2 + .../static/js/main.3b2eb92f.js.LICENSE.txt} | 8 +- app/vmselect/vmui/static/js/main.fd9d9e16.js | 2 - .../media/MetricsQL.61a686c0661a23e4f2eb.md} | 364 +++++++++++++----- .../packages/vmui/src/assets/MetricsQL.md | 325 +++++++++++----- 21 files changed, 776 insertions(+), 298 deletions(-) delete mode 100644 app/vlselect/vmui/static/css/main.1e22ee10.css create mode 100644 app/vlselect/vmui/static/css/main.2f84903e.css delete mode 100644 app/vlselect/vmui/static/js/522.da77e7b3.chunk.js create mode 100644 app/vlselect/vmui/static/js/685.bebe1265.chunk.js create mode 100644 app/vlselect/vmui/static/js/main.40670a5a.js rename app/{vmselect/vmui/static/js/main.fd9d9e16.js.LICENSE.txt => vlselect/vmui/static/js/main.40670a5a.js.LICENSE.txt} (75%) delete mode 100644 app/vlselect/vmui/static/js/main.92cf3903.js rename app/{vmselect/vmui/static/media/MetricsQL.8a01ddf56e4e6bc1ccf1.md => vlselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md} (90%) create mode 100644 app/vmselect/vmui/static/css/main.3e2bc898.css delete mode 100644 app/vmselect/vmui/static/css/main.be4fee7a.css delete mode 100644 app/vmselect/vmui/static/js/522.da77e7b3.chunk.js create mode 100644 app/vmselect/vmui/static/js/685.bebe1265.chunk.js create mode 100644 app/vmselect/vmui/static/js/main.3b2eb92f.js rename app/{vlselect/vmui/static/js/main.92cf3903.js.LICENSE.txt => vmselect/vmui/static/js/main.3b2eb92f.js.LICENSE.txt} (75%) delete mode 100644 app/vmselect/vmui/static/js/main.fd9d9e16.js rename app/{vlselect/vmui/static/media/MetricsQL.48b7b7105a48d7775f01.md => vmselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md} (88%) diff --git a/app/vlselect/vmui/asset-manifest.json b/app/vlselect/vmui/asset-manifest.json index 582ebc1d3..2148ae9d8 100644 --- a/app/vlselect/vmui/asset-manifest.json +++ b/app/vlselect/vmui/asset-manifest.json @@ -1,13 +1,13 @@ { "files": { - "main.css": "./static/css/main.1e22ee10.css", - "main.js": "./static/js/main.92cf3903.js", - "static/js/522.da77e7b3.chunk.js": "./static/js/522.da77e7b3.chunk.js", - "static/media/MetricsQL.md": "./static/media/MetricsQL.48b7b7105a48d7775f01.md", + "main.css": "./static/css/main.2f84903e.css", + "main.js": "./static/js/main.40670a5a.js", + "static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js", + "static/media/MetricsQL.md": "./static/media/MetricsQL.61a686c0661a23e4f2eb.md", "index.html": "./index.html" }, "entrypoints": [ - "static/css/main.1e22ee10.css", - "static/js/main.92cf3903.js" + "static/css/main.2f84903e.css", + "static/js/main.40670a5a.js" ] } \ No newline at end of file diff --git a/app/vlselect/vmui/index.html b/app/vlselect/vmui/index.html index 1871d1100..ee47b62e6 100644 --- a/app/vlselect/vmui/index.html +++ b/app/vlselect/vmui/index.html @@ -1 +1 @@ -VM UI
\ No newline at end of file +VM UI
\ No newline at end of file diff --git a/app/vlselect/vmui/static/css/main.1e22ee10.css b/app/vlselect/vmui/static/css/main.1e22ee10.css deleted file mode 100644 index 63fbf33e6..000000000 --- a/app/vlselect/vmui/static/css/main.1e22ee10.css +++ /dev/null @@ -1 +0,0 @@ -.vm-tabs{gap:12px;height:100%;position:relative;-webkit-user-select:none;user-select:none}.vm-tabs,.vm-tabs-item{align-items:center;display:flex;justify-content:center}.vm-tabs-item{color:inherit;cursor:pointer;font-size:inherit;font-weight:inherit;opacity:.6;padding:12px 8px;text-decoration:none;text-transform:capitalize;transition:opacity .2s}.vm-tabs-item_active{opacity:1}.vm-tabs-item:hover{opacity:.8}.vm-tabs-item__icon{display:grid;margin-right:8px;width:16px}.vm-tabs-item__icon_single{margin-right:0}.vm-tabs__indicator{border-bottom:2px solid;position:absolute;transition:width .2s ease,left .3s cubic-bezier(.28,.84,.42,1)}.vm-alert{grid-gap:8px;align-items:center;background-color:var(--color-background-block);border-radius:8px;box-shadow:var(--box-shadow);color:var(--color-text);display:grid;font-size:14px;font-weight:400;gap:8px;grid-template-columns:20px 1fr;line-height:1.5;padding:12px;position:relative}.vm-alert_mobile{align-items:flex-start;border-radius:0}.vm-alert:after{border-radius:8px;content:"";height:100%;left:0;opacity:.1;position:absolute;top:0;width:100%;z-index:1}.vm-alert_mobile:after{border-radius:0}.vm-alert__content,.vm-alert__icon{position:relative;z-index:2}.vm-alert__icon{align-items:center;display:flex;justify-content:center}.vm-alert__content{-webkit-filter:brightness(.6);filter:brightness(.6);white-space:pre-line}.vm-alert_success{color:var(--color-success)}.vm-alert_success:after{background-color:var(--color-success)}.vm-alert_error{color:var(--color-error)}.vm-alert_error:after{background-color:var(--color-error)}.vm-alert_info{color:var(--color-info)}.vm-alert_info:after{background-color:var(--color-info)}.vm-alert_warning{color:var(--color-warning)}.vm-alert_warning:after{background-color:var(--color-warning)}.vm-alert_dark:after{opacity:.1}.vm-alert_dark .vm-alert__content{-webkit-filter:none;filter:none}.vm-button{align-items:center;border-radius:6px;color:#fff;cursor:pointer;display:flex;font-size:12px;font-weight:400;justify-content:center;line-height:15px;min-height:31px;padding:6px 14px;position:relative;text-transform:uppercase;-webkit-transform-style:preserve-3d;transform-style:preserve-3d;-webkit-user-select:none;user-select:none;white-space:nowrap}.vm-button:hover:after{background-color:var(--color-hover-black)}.vm-button:after,.vm-button:before{border-radius:6px;content:"";height:100%;left:0;position:absolute;top:0;transition:background-color .2s ease;width:100%}.vm-button:before{-webkit-transform:translateZ(-2px);transform:translateZ(-2px)}.vm-button:after{background-color:transparent;-webkit-transform:translateZ(-1px);transform:translateZ(-1px)}.vm-button:active:after{-webkit-transform:scale(.9);transform:scale(.9)}.vm-button span{align-items:center;display:grid;justify-content:center;-webkit-transform:translateZ(1px);transform:translateZ(1px)}.vm-button span svg{width:15px}.vm-button__start-icon{margin-right:6px}.vm-button__end-icon{margin-left:6px}.vm-button_disabled{cursor:not-allowed;opacity:.3}.vm-button_icon{padding:6px 8px}.vm-button_icon .vm-button__end-icon,.vm-button_icon .vm-button__start-icon{margin:0}.vm-button_small{min-height:25px;padding:4px 8px}.vm-button_small span svg{width:13px}.vm-button_contained_primary{color:var(--color-primary-text)}.vm-button_contained_primary,.vm-button_contained_primary:before{background-color:var(--color-primary)}.vm-button_contained_primary:hover:after{background-color:hsla(0,6%,6%,.2)}.vm-button_contained_secondary{color:var(--color-secondary-text)}.vm-button_contained_secondary:before{background-color:var(--color-secondary)}.vm-button_contained_secondary:hover:after{background-color:hsla(0,6%,6%,.2)}.vm-button_contained_success{color:var(--color-success-text)}.vm-button_contained_success:before{background-color:var(--color-success)}.vm-button_contained_success:hover:after{background-color:hsla(0,6%,6%,.2)}.vm-button_contained_error{color:var(--color-error-text)}.vm-button_contained_error:before{background-color:var(--color-error)}.vm-button_contained_gray{color:var(--color-text-secondary)}.vm-button_contained_gray:before{background-color:var(--color-text-secondary)}.vm-button_contained_warning{color:var(--color-warning)}.vm-button_contained_warning:before{background-color:var(--color-warning);opacity:.2}.vm-button_text_primary{color:var(--color-primary)}.vm-button_text_secondary{color:var(--color-secondary)}.vm-button_text_success{color:var(--color-success)}.vm-button_text_error{color:var(--color-error)}.vm-button_text_gray{color:var(--color-text-secondary)}.vm-button_text_white{color:#fff}.vm-button_text_warning{color:var(--color-warning)}.vm-button_outlined_primary{border:1px solid var(--color-primary);color:var(--color-primary)}.vm-button_outlined_error{border:1px solid var(--color-error);color:var(--color-error)}.vm-button_outlined_secondary{border:1px solid var(--color-secondary);color:var(--color-secondary)}.vm-button_outlined_success{border:1px solid var(--color-success);color:var(--color-success)}.vm-button_outlined_gray{border:1px solid var(--color-text-secondary);color:var(--color-text-secondary)}.vm-button_outlined_white{border:1px solid #fff;color:#fff}.vm-button_outlined_warning{border:1px solid var(--color-warning);color:var(--color-warning)}.vm-json-view__copy{display:flex;justify-content:flex-end;position:-webkit-sticky;position:sticky;top:0;z-index:2}.vm-json-view__code{font-size:14px;line-height:1.4;-webkit-transform:translateY(-32px);transform:translateY(-32px);white-space:pre-wrap}.vm-explore-logs-body-header,.vm-explore-logs-body-header_mobile{margin:-12px -12px 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Ds={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:Ns,tag:"^comment|^|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^|^",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:((?!\*)[punct])|[^\s*]))|^_+(?:((?!_)[punct])|([^\s_]))/,rDelimAst:/^[^_*]*?__[^_*]*?\*[^_*]*?(?=__)|[^*]+(?=[^*])|(?!\*)[punct](\*+)(?=[\s]|$)|[^punct\s](\*+)(?!\*)(?=[punct\s]|$)|(?!\*)[punct\s](\*+)(?=[^punct\s])|[\s](\*+)(?!\*)(?=[punct])|(?!\*)[punct](\*+)(?!\*)(?=[punct])|[^punct\s](\*+)(?=[^punct\s])/,rDelimUnd:/^[^_*]*?\*\*[^_*]*?_[^_*]*?(?=\*\*)|[^_]+(?=[^_])|(?!_)[punct](_+)(?=[\s]|$)|[^punct\s](_+)(?!_)(?=[punct\s]|$)|(?!_)[punct\s](_+)(?=[^punct\s])|[\s](_+)(?!_)(?=[punct])|(?!_)[punct](_+)(?!_)(?=[punct])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( 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{2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\1&&void 0!==arguments[1]?arguments[1]:[];for(e=this.options.pedantic?e.replace(/\t/g," ").replace(/^ +$/gm,""):e.replace(/^( *)(\t+)/gm,((e,t,n)=>t+" ".repeat(n.length)));e;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some((n=>!!(t=n.call({lexer:this},e,i))&&(e=e.substring(t.raw.length),i.push(t),!0)))))if(t=this.tokenizer.space(e))e=e.substring(t.raw.length),1===t.raw.length&&i.length>0?i[i.length-1].raw+="\n":i.push(t);else if(t=this.tokenizer.code(e))e=e.substring(t.raw.length),n=i[i.length-1],!n||"paragraph"!==n.type&&"text"!==n.type?i.push(t):(n.raw+="\n"+t.raw,n.text+="\n"+t.text,this.inlineQueue[this.inlineQueue.length-1].src=n.text);else if(t=this.tokenizer.fences(e))e=e.substring(t.raw.length),i.push(t);else if(t=this.tokenizer.heading(e))e=e.substring(t.raw.length),i.push(t);else if(t=this.tokenizer.hr(e))e=e.substring(t.raw.length),i.push(t);else if(t=this.tokenizer.blockquote(e))e=e.substring(t.raw.length),i.push(t);else if(t=this.tokenizer.list(e))e=e.substring(t.raw.length),i.push(t);else if(t=this.tokenizer.html(e))e=e.substring(t.raw.length),i.push(t);else if(t=this.tokenizer.def(e))e=e.substring(t.raw.length),n=i[i.length-1],!n||"paragraph"!==n.type&&"text"!==n.type?this.tokens.links[t.tag]||(this.tokens.links[t.tag]={href:t.href,title:t.title}):(n.raw+="\n"+t.raw,n.text+="\n"+t.raw,this.inlineQueue[this.inlineQueue.length-1].src=n.text);else if(t=this.tokenizer.table(e))e=e.substring(t.raw.length),i.push(t);else if(t=this.tokenizer.lheading(e))e=e.substring(t.raw.length),i.push(t);else{if(r=e,this.options.extensions&&this.options.extensions.startBlock){let t=1/0;const n=e.slice(1);let o;this.options.extensions.startBlock.forEach((function(e){o=e.call({lexer:this},n),"number"===typeof 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if(t=this.tokenizer.tag(e))e=e.substring(t.raw.length),n=l[l.length-1],n&&"text"===t.type&&"text"===n.type?(n.raw+=t.raw,n.text+=t.text):l.push(t);else if(t=this.tokenizer.link(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.reflink(e,this.tokens.links))e=e.substring(t.raw.length),n=l[l.length-1],n&&"text"===t.type&&"text"===n.type?(n.raw+=t.raw,n.text+=t.text):l.push(t);else if(t=this.tokenizer.emStrong(e,s,a))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.codespan(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.br(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.del(e))e=e.substring(t.raw.length),l.push(t);else if(t=this.tokenizer.autolink(e,$s))e=e.substring(t.raw.length),l.push(t);else if(this.state.inLink||!(t=this.tokenizer.url(e,$s))){if(r=e,this.options.extensions&&this.options.extensions.startInline){let t=1/0;const n=e.slice(1);let 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n=t.getCLS,r=t.getFID,i=t.getFCP,o=t.getLCP,a=t.getTTFB;n(e),r(e),i(e),o(e),a(e)}))},ud=document.getElementById("root");ud&&Qe(ii(od,{}),ud),ad()}()}(); \ No newline at end of file diff --git a/app/vmselect/vmui/static/media/MetricsQL.8a01ddf56e4e6bc1ccf1.md b/app/vlselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md similarity index 90% rename from app/vmselect/vmui/static/media/MetricsQL.8a01ddf56e4e6bc1ccf1.md rename to app/vlselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md index 2b2266f13..1d178f5bd 100644 --- a/app/vmselect/vmui/static/media/MetricsQL.8a01ddf56e4e6bc1ccf1.md +++ b/app/vlselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md @@ -26,12 +26,18 @@ and introduction into [basic querying via MetricsQL](https://docs.victoriametric The following functionality is implemented differently in MetricsQL compared to PromQL. This improves user experience: -* MetricsQL takes into account the previous point before the window in square brackets for range functions such as [rate](#rate) and [increase](#increase). - This allows returning the exact results users expect for `increase(metric[$__interval])` queries instead of incomplete results Prometheus returns for such queries. -* MetricsQL doesn't extrapolate range function results. This addresses [this issue from Prometheus](https://github.com/prometheus/prometheus/issues/3746). +* MetricsQL takes into account the last [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) before the lookbehind window + in square brackets for [increase](#increase) and [rate](#rate) functions. This allows returning the exact results users expect for `increase(metric[$__interval])` queries + instead of incomplete results Prometheus returns for such queries. Prometheus misses the increase between the last sample before the lookbehind window + and the first sample inside the lookbehind window. +* MetricsQL doesn't extrapolate [rate](#rate) and [increase](#increase) function results, so it always returns the expected results. For example, it returns + integer results from `increase()` over slow-changing integer counter. Prometheus in this case returns unexpected fractional results, + which may significantly differ from the expected results. This addresses [this issue from Prometheus](https://github.com/prometheus/prometheus/issues/3746). See technical details about VictoriaMetrics and Prometheus calculations for [rate](#rate) and [increase](#increase) [in this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1215#issuecomment-850305711). -* MetricsQL returns the expected non-empty responses for [rate](#rate) with `step` values smaller than scrape interval. +* MetricsQL returns the expected non-empty responses for [rate](#rate) function when Grafana or [vmui](https://docs.victoriametrics.com/#vmui) + passes `step` values smaller than the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query). This addresses [this issue from Grafana](https://github.com/grafana/grafana/issues/11451). See also [this blog post](https://www.percona.com/blog/2020/02/28/better-prometheus-rate-function-with-victoriametrics/). * MetricsQL treats `scalar` type the same as `instant vector` without labels, since subtle differences between these types usually confuse users. @@ -61,13 +67,14 @@ The list of MetricsQL features on top of PromQL: * Graphite-compatible filters can be passed via `{__graphite__="foo.*.bar"}` syntax. See [these docs](https://docs.victoriametrics.com/#selecting-graphite-metrics). - VictoriaMetrics also can be used as Graphite datasource in Grafana. - See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details. + VictoriaMetrics can be used as Graphite datasource in Grafana. See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details. See also [label_graphite_group](#label_graphite_group) function, which can be used for extracting the given groups from Graphite metric name. -* Lookbehind window in square brackets may be omitted. VictoriaMetrics automatically selects the lookbehind window - depending on the current step used for building the graph (e.g. `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query)). +* Lookbehind window in square brackets for [rollup functions](#rollup-functions) may be omitted. VictoriaMetrics automatically selects the lookbehind window + depending on the `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) + and the real interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) (aka `scrape_interval`). For instance, the following query is valid in VictoriaMetrics: `rate(node_network_receive_bytes_total)`. - It is equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana. + It is roughly equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana. + The difference is documented in [rate() docs](#rate). * Numeric values can contain `_` delimiters for better readability. For example, `1_234_567_890` can be used in queries instead of `1234567890`. * [Series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering) accept multiple `or` filters. For example, `{env="prod",job="a" or env="dev",job="b"}` selects series with `{env="prod",job="a"}` or `{env="dev",job="b"}` labels. @@ -117,7 +124,8 @@ The list of MetricsQL features on top of PromQL: Go to [WITH templates playground](https://play.victoriametrics.com/select/accounting/1/6a716b0f-38bc-4856-90ce-448fd713e3fe/expand-with-exprs) and try it. * String literals may be concatenated. This is useful with `WITH` templates: `WITH (commonPrefix="long_metric_prefix_") {__name__=commonPrefix+"suffix1"} / {__name__=commonPrefix+"suffix2"}`. -* `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions), [transform functions](#transform-functions) and [binary operators](https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operators). +* `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions), [transform functions](#transform-functions) + and [binary operators](https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operators). This modifier prevents from dropping metric names in function results. See [these docs](#keep_metric_names). ## keep_metric_names @@ -155,14 +163,15 @@ Additional details: The interval between points is set as `step` query arg passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query). * If the given [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns multiple time series, then rollups are calculated individually per each returned series. -* If lookbehind window in square brackets is missing, then MetricsQL automatically sets the lookbehind window - to the interval between points on the graph (aka `step` query arg at [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query), - `$__interval` value from Grafana or `1i` duration in MetricsQL). - For example, `rate(http_requests_total)` is equivalent to `rate(http_requests_total[$__interval])` in Grafana. - It is also equivalent to `rate(http_requests_total[1i])`. +* If lookbehind window in square brackets is missing, then it is automatically set to the following value: + - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query) + for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL. + For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`. + - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`. * Every [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) in MetricsQL must be wrapped into a rollup function. Otherwise, it is automatically wrapped into [default_rollup](#default_rollup). For example, `foo{bar="baz"}` - is automatically converted to `default_rollup(foo{bar="baz"}[1i])` before performing the calculations. + is automatically converted to `default_rollup(foo{bar="baz"})` before performing the calculations. * If something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) is passed to rollup function, then the inner arg is automatically converted to a [subquery](#subqueries). * All the rollup functions accept optional `keep_metric_names` modifier. If it is set, then the function keeps metric names in results. @@ -177,7 +186,9 @@ The list of supported rollup functions: `absent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns 1 if the given lookbehind window `d` doesn't contain raw samples. Otherwise, it returns an empty result. -This function is supported by PromQL. See also [present_over_time](#present_over_time). +This function is supported by PromQL. + +See also [present_over_time](#present_over_time). #### aggr_over_time @@ -207,7 +218,9 @@ See also [descent_over_time](#descent_over_time). over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [median_over_time](#median_over_time). +This function is supported by PromQL. + +See also [median_over_time](#median_over_time). #### changes @@ -220,7 +233,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [changes_prometheus](#changes_prometheus). +This function is supported by PromQL. + +See also [changes_prometheus](#changes_prometheus). #### changes_prometheus @@ -233,7 +248,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [changes](#changes). +This function is supported by PromQL. + +See also [changes](#changes). #### count_eq_over_time @@ -243,7 +260,7 @@ from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.ht 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) and [share_eq_over_time](#share_eq_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 @@ -282,8 +299,19 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), -[count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time). +This function is supported by PromQL. + +See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), [count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time). + +#### count_values_over_time + +`count_values_over_time("label", series_selector[d])` is a [rollup function](#rollup-functions), which counts the number of raw samples +with the same value over the given lookbehind window and stores the counts in a time series with an additional `label`, which contains each initial value. +The results are calculated independently per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). + +Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. + +See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values) and [distinct_over_time](#distinct_over_time) and [label_match](#label_match). #### decreases_over_time @@ -299,6 +327,11 @@ See also [increases_over_time](#increases_over_time). `default_rollup(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). +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), +while `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) for the selected time series. +This allows avoiding unexpected gaps on the graph when `step` is smaller than the `scrape_interval`. + #### delta `delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between @@ -310,7 +343,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [increase](#increase) and [delta_prometheus](#delta_prometheus). +This function is supported by PromQL. + +See also [increase](#increase) and [delta_prometheus](#delta_prometheus). #### delta_prometheus @@ -333,7 +368,9 @@ The derivative is calculated using linear regression. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv). +This function is supported by PromQL. + +See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv). #### deriv_fast @@ -364,6 +401,8 @@ 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. +See also [count_values_over_time](#count_values_over_time). + #### duration_over_time `duration_over_time(series_selector[d], max_interval)` is a [rollup function](#rollup-functions), which returns the duration in seconds @@ -423,7 +462,9 @@ over the given lookbehind window `d` using the given smoothing factor `sf` and t Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns time series of [gauge type](https://docs.victoriametrics.com/keyConcepts.html#gauge). -This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression). +This function is supported by PromQL. + +See also [range_linear_regression](#range_linear_regression). #### idelta @@ -432,7 +473,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [delta](#delta). +This function is supported by PromQL. + +See also [delta](#delta). #### ideriv @@ -455,7 +498,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). +This function is supported by PromQL. + +See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). #### increase_prometheus @@ -499,7 +544,9 @@ It is expected that the `series_selector` returns time series of [counter type]( Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [rate](#rate) and [rollup_rate](#rollup_rate). +This function is supported by PromQL. + +See also [rate](#rate) and [rollup_rate](#rollup_rate). #### lag @@ -516,7 +563,9 @@ See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time). `last_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time). +This function is supported by PromQL. + +See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time). #### lifetime @@ -539,7 +588,9 @@ See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outli `max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [tmax_over_time](#tmax_over_time). +This function is supported by PromQL. + +See also [tmax_over_time](#tmax_over_time). #### median_over_time @@ -554,7 +605,9 @@ See also [avg_over_time](#avg_over_time). `min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [tmin_over_time](#tmin_over_time). +This function is supported by PromQL. + +See also [tmin_over_time](#tmin_over_time). #### mode_over_time @@ -580,7 +633,9 @@ See also [outliers_iqr](#outliers_iqr). linear interpolation over raw samples on the given lookbehind window `d`. The predicted value is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression). +This function is supported by PromQL. + +See also [range_linear_regression](#range_linear_regression). #### present_over_time @@ -597,7 +652,9 @@ This function is supported by PromQL. on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). The `phi` value must be in the range `[0...1]`. -This function is supported by PromQL. See also [quantiles_over_time](#quantiles_over_time). +This function is supported by PromQL. + +See also [quantiles_over_time](#quantiles_over_time). #### quantiles_over_time @@ -622,9 +679,16 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#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), +while `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) for the selected time series. +This allows avoiding unexpected gaps on the graph when `step` is smaller than the `scrape_interval`. + Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [irate](#irate) and [rollup_rate](#rollup_rate). +This function is supported by PromQL. + +See also [irate](#irate) and [rollup_rate](#rollup_rate). #### rate_over_sum @@ -652,6 +716,7 @@ on the given lookbehind window `d` and returns them in time series with `rollup= These values are calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). #### rollup_candlestick @@ -660,7 +725,8 @@ over raw samples on the given lookbehind window `d` and returns them in time ser The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). This function is useful for financial applications. -Optional 2nd argument `"min"`, `"max"` or `"avg"` 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). #### rollup_delta @@ -670,6 +736,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -683,6 +750,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -694,6 +762,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). 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). @@ -707,10 +776,10 @@ See [this article](https://valyala.medium.com/why-irate-from-prometheus-doesnt-c 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.html#filtering). - Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. #### rollup_scrape_interval @@ -721,6 +790,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [scrape_interval](#scrape_interval). @@ -783,7 +853,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [stdvar_over_time](#stdvar_over_time). +This function is supported by PromQL. + +See also [stdvar_over_time](#stdvar_over_time). #### stdvar_over_time @@ -792,7 +864,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [stddev_over_time](#stddev_over_time). +This function is supported by PromQL. + +See also [stddev_over_time](#stddev_over_time). #### sum_eq_over_time @@ -844,7 +918,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [timestamp_with_name](#timestamp_with_name). +This function is supported by PromQL. + +See also [time](#time) and [now](#now). #### timestamp_with_name @@ -853,7 +929,7 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are preserved in the resulting rollups. -See also [timestamp](#timestamp). +See also [timestamp](#timestamp) and [keep_metric_names](#keep_metric_names) modifier. #### tfirst_over_time @@ -920,7 +996,7 @@ Additional details: * If transform function is applied directly to a [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the transformations. - For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature[1i]))`. + For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature))`. * All the transform functions accept optional `keep_metric_names` modifier. If it is set, then the function doesn't drop metric names from the resulting time series. See [these docs](#keep_metric_names). @@ -938,7 +1014,9 @@ This function is supported by PromQL. `absent(q)` is a [transform function](#transform-functions), which returns 1 if `q` has no points. Otherwise, returns an empty result. -This function is supported by PromQL. See also [absent_over_time](#absent_over_time). +This function is supported by PromQL. + +See also [absent_over_time](#absent_over_time). #### acos @@ -947,7 +1025,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [asin](#asin) and [cos](#cos). +This function is supported by PromQL. + +See also [asin](#asin) and [cos](#cos). #### acosh @@ -956,7 +1036,9 @@ This function is supported by PromQL. See also [asin](#asin) and [cos](#cos). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sinh](#cosh). +This function is supported by PromQL. + +See also [sinh](#cosh). #### asin @@ -965,7 +1047,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [acos](#acos) and [sin](#sin). +This function is supported by PromQL. + +See also [acos](#acos) and [sin](#sin). #### asinh @@ -974,7 +1058,9 @@ This function is supported by PromQL. See also [acos](#acos) and [sin](#sin). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sinh](#sinh). +This function is supported by PromQL. + +See also [sinh](#sinh). #### atan @@ -983,7 +1069,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [tan](#tan). +This function is supported by PromQL. + +See also [tan](#tan). #### atanh @@ -992,7 +1080,9 @@ This function is supported by PromQL. See also [tan](#tan). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [tanh](#tanh). +This function is supported by PromQL. + +See also [tanh](#tanh). #### bitmap_and @@ -1023,25 +1113,33 @@ See also [prometheus_buckets](#prometheus_buckets) and [histogram_quantile](#his `ceil(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the upper nearest integer. -This function is supported by PromQL. See also [floor](#floor) and [round](#round). +This function is supported by PromQL. + +See also [floor](#floor) and [round](#round). #### clamp `clamp(q, min, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` and `max` values. -This function is supported by PromQL. See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max). +This function is supported by PromQL. + +See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max). #### clamp_max `clamp_max(q, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `max` value. -This function is supported by PromQL. See also [clamp](#clamp) and [clamp_min](#clamp_min). +This function is supported by PromQL. + +See also [clamp](#clamp) and [clamp_min](#clamp_min). #### clamp_min `clamp_min(q, min)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` value. -This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](#clamp_max). +This function is supported by PromQL. + +See also [clamp](#clamp) and [clamp_max](#clamp_max). #### cos @@ -1049,7 +1147,9 @@ This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](# Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sin](#sin). +This function is supported by PromQL. + +See also [sin](#sin). #### cosh @@ -1058,7 +1158,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [acosh](#acosh). +This function is supported by PromQL. + +See also [acosh](#acosh). #### day_of_month @@ -1069,6 +1171,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_week](#day_of_week) and [day_of_year](#day_of_year). + #### day_of_week `day_of_week(q)` is a [transform function](#transform-functions), which returns the day of week for every point of every time series returned by `q`. @@ -1078,6 +1182,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_month](#day_of_month) and [day_of_year](#day_of_year). + #### day_of_year `day_of_year(q)` is a [transform function](#transform-functions), which returns the day of year for every point of every time series returned by `q`. @@ -1087,6 +1193,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_week](#day_of_week) and [day_of_month](#day_of_month). + #### days_in_month `days_in_month(q)` is a [transform function](#transform-functions), which returns the number of days in the month identified @@ -1104,7 +1212,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [rad](#rad). +This function is supported by PromQL. + +See also [rad](#rad). #### drop_empty_series @@ -1130,13 +1240,17 @@ See also [start](#start), [time](#time) and [now](#now). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [ln](#ln). +This function is supported by PromQL. + +See also [ln](#ln). #### floor `floor(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the lower nearest integer. -This function is supported by PromQL. See also [ceil](#ceil) and [round](#round). +This function is supported by PromQL. + +See also [ceil](#ceil) and [round](#round). #### histogram_avg @@ -1159,8 +1273,9 @@ When the [percentile](https://en.wikipedia.org/wiki/Percentile) is calculated ov then all the input histograms **must** have buckets with identical boundaries, e.g. they must have the same set of `le` or `vmrange` labels. Otherwise, the returned result may be invalid. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3231) for details. -This function is supported by PromQL (except of the `boundLabel` arg). See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share) -and [quantile](#quantile). +This function is supported by PromQL (except of the `boundLabel` arg). + +See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share) and [quantile](#quantile). #### histogram_quantiles @@ -1232,7 +1347,9 @@ This allows implementing simple paging for `q` time series. See also [limitk](#l Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [exp](#exp) and [log2](#log2). +This function is supported by PromQL. + +See also [exp](#exp) and [log2](#log2). #### log2 @@ -1240,7 +1357,9 @@ This function is supported by PromQL. See also [exp](#exp) and [log2](#log2). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [log10](#log10) and [ln](#ln). +This function is supported by PromQL. + +See also [log10](#log10) and [ln](#ln). #### log10 @@ -1248,7 +1367,9 @@ This function is supported by PromQL. See also [log10](#log10) and [ln](#ln). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [log2](#log2) and [ln](#ln). +This function is supported by PromQL. + +See also [log2](#log2) and [ln](#ln). #### minute @@ -1287,7 +1408,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [deg](#deg). +This function is supported by PromQL. + +See also [deg](#deg). #### prometheus_buckets @@ -1415,7 +1538,9 @@ for points returned by `q`, e.g. it is equivalent to the following query: `(q - `round(q, nearest)` is a [transform function](#transform-functions), which rounds every point of every time series returned by `q` to the `nearest` multiple. If `nearest` is missing then the rounding is performed to the nearest integer. -This function is supported by PromQL. See also [floor](#floor) and [ceil](#ceil). +This function is supported by PromQL. + +See also [floor](#floor) and [ceil](#ceil). #### ru @@ -1459,7 +1584,9 @@ This function is supported by PromQL. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [cos](#cos). +This function is supported by MetricsQL. + +See also [cos](#cos). #### sinh @@ -1468,7 +1595,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [cosh](#cosh). +This function is supported by MetricsQL. + +See also [cosh](#cosh). #### tan @@ -1476,7 +1605,9 @@ This function is supported by MetricsQL. See also [cosh](#cosh). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [atan](#atan). +This function is supported by MetricsQL. + +See also [atan](#atan). #### tanh @@ -1485,7 +1616,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [atanh](#atanh). +This function is supported by MetricsQL. + +See also [atanh](#atanh). #### smooth_exponential @@ -1496,13 +1629,17 @@ by `q` using [exponential moving average](https://en.wikipedia.org/wiki/Moving_a `sort(q)` is a [transform function](#transform-functions), which sorts series in ascending order by the last point in every time series returned by `q`. -This function is supported by PromQL. See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label). +This function is supported by PromQL. + +See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label). #### sort_desc `sort_desc(q)` is a [transform function](#transform-functions), which sorts series in descending order by the last point in every time series returned by `q`. -This function is supported by PromQL. See also [sort](#sort) and [sort_by_label](#sort_by_label_desc). +This function is supported by PromQL. + +See also [sort](#sort) and [sort_by_label](#sort_by_label_desc). #### sqrt @@ -1531,7 +1668,9 @@ See also [start](#start) and [end](#end). `time()` is a [transform function](#transform-functions), which returns unix timestamp for every returned point. -This function is supported by PromQL. See also [now](#now), [start](#start) and [end](#end). +This function is supported by PromQL. + +See also [timestamp](#timestamp), [now](#now), [start](#start) and [end](#end). #### timezone_offset @@ -1580,7 +1719,7 @@ Additional details: * If label manipulation function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before performing the label transformation. - For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature[1i]), "foo")`. + For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature), "foo")`. See also [implicit query conversions](#implicit-query-conversions). @@ -1757,7 +1896,7 @@ Additional details: Multiple labels can be put in `by` and `without` modifiers. * If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the aggregate. - For example, `count(up)` is implicitly transformed to `count(default_rollup(up[1i]))`. + For example, `count(up)` is implicitly transformed to `count(default_rollup(up))`. * Aggregate functions accept arbitrary number of args. For example, `avg(q1, q2, q3)` would return the average values for every point across time series returned by `q1`, `q2` and `q3`. * Aggregate functions support optional `limit N` suffix, which can be used for limiting the number of output groups. @@ -1785,7 +1924,9 @@ This function is supported by PromQL. `bottomk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the smallest values across all the time series returned by `q`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [topk](#topk). +This function is supported by PromQL. + +See also [topk](#topk), [bottomk_min](#bottomk_min) and [#bottomk_last](#bottomk_last). #### bottomk_avg @@ -1847,10 +1988,14 @@ The aggregate is calculated individually per each group of points with the same This function is supported by PromQL. +See also [count_values_over_time](#count_values_over_time) and [label_match](#label_match). + #### distinct `distinct(q)` is [aggregate function](#aggregate-functions), which calculates the number of unique values per each group of points with the same timestamp. +See also [distinct_over_time](#distinct_over_time). + #### geomean `geomean(q)` is [aggregate function](#aggregate-functions), which calculates geometric mean per each group of points with the same timestamp. @@ -1942,7 +2087,9 @@ See also [outliers_iqr](#outliers_iqr) and [outliers_mad](#outliers_mad). for all the time series returned by `q`. `phi` must be in the range `[0...1]`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [quantiles](#quantiles) and [histogram_quantile](#histogram_quantile). +This function is supported by PromQL. + +See also [quantiles](#quantiles) and [histogram_quantile](#histogram_quantile). #### quantiles @@ -2001,7 +2148,9 @@ for all the time series returned by `q`. The aggregate is calculated individuall `topk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the biggest values across all the time series returned by `q`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [bottomk](#bottomk). +This function is supported by PromQL. + +See also [bottomk](#bottomk), [topk_max](#topk_max) and [topk_last](#topk_last). #### topk_avg @@ -2061,7 +2210,7 @@ See also [zscore_over_time](#zscore_over_time), [range_trim_zscore](#range_trim_ MetricsQL supports and extends PromQL subqueries. See [this article](https://valyala.medium.com/prometheus-subqueries-in-victoriametrics-9b1492b720b3) for details. Any [rollup function](#rollup-functions) for something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) form a subquery. 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: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). VictoriaMetrics performs subqueries in the following way: @@ -2076,21 +2225,23 @@ VictoriaMetrics performs subqueries in the following way: VictoriaMetrics performs the following implicit conversions for incoming queries before starting the calculations: -* If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), - then `[1i]` is automatically added there. The `[1i]` means one `step` value, which is passed - to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query). - It is also known as `$__interval` in Grafana. For example, `rate(http_requests_count)` is automatically transformed to `rate(http_requests_count[1i])`. +* If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), then it is automatically set to the following value: + - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query) + for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL. + For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`. + - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`. * All the [series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering), which aren't wrapped into [rollup functions](#rollup-functions), are automatically wrapped into [default_rollup](#default_rollup) function. Examples: - * `foo` is transformed to `default_rollup(foo[1i])` - * `foo + bar` is transformed to `default_rollup(foo[1i]) + default_rollup(bar[1i])` - * `count(up)` is transformed to `count(default_rollup(up[1i]))`, because [count](#count) isn't a [rollup function](#rollup-functions) - + * `foo` is transformed to `default_rollup(foo)` + * `foo + bar` is transformed to `default_rollup(foo) + default_rollup(bar)` + * `count(up)` is transformed to `count(default_rollup(up))`, because [count](#count) isn't a [rollup function](#rollup-functions) - it is [aggregate function](#aggregate-functions) - * `abs(temperature)` is transformed to `abs(default_rollup(temperature[1i]))`, because [abs](#abs) isn't a [rollup function](#rollup-functions) - + * `abs(temperature)` is transformed to `abs(default_rollup(temperature))`, because [abs](#abs) isn't a [rollup function](#rollup-functions) - it is [transform function](#transform-functions) * If `step` in square brackets is missing inside [subquery](#subqueries), then `1i` step is automatically added there. 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.html#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:1i])`. + For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`. diff --git a/app/vmselect/vmui/asset-manifest.json b/app/vmselect/vmui/asset-manifest.json index 1c2c5d79e..ed70cb899 100644 --- a/app/vmselect/vmui/asset-manifest.json +++ b/app/vmselect/vmui/asset-manifest.json @@ -1,13 +1,13 @@ { "files": { - "main.css": "./static/css/main.be4fee7a.css", - "main.js": "./static/js/main.fd9d9e16.js", - "static/js/522.da77e7b3.chunk.js": "./static/js/522.da77e7b3.chunk.js", - "static/media/MetricsQL.md": "./static/media/MetricsQL.8a01ddf56e4e6bc1ccf1.md", + "main.css": "./static/css/main.3e2bc898.css", + "main.js": "./static/js/main.3b2eb92f.js", + "static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js", + "static/media/MetricsQL.md": "./static/media/MetricsQL.61a686c0661a23e4f2eb.md", "index.html": "./index.html" }, "entrypoints": [ - "static/css/main.be4fee7a.css", - "static/js/main.fd9d9e16.js" + "static/css/main.3e2bc898.css", + "static/js/main.3b2eb92f.js" ] } \ No newline at end of file diff --git a/app/vmselect/vmui/index.html b/app/vmselect/vmui/index.html index cbc342f71..9768dd2a2 100644 --- a/app/vmselect/vmui/index.html +++ b/app/vmselect/vmui/index.html @@ -1 +1 @@ -VM UI
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    \n This table returns a list of the label values pairs with the highest number of series.\n

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t=this.rules.inline.del.exec(e);if(t)return{type:"del",raw:t[0],text:t[2],tokens:this.lexer.inlineTokens(t[2])}}},{key:"autolink",value:function(e,t){var n,r,a=this.rules.inline.autolink.exec(e);if(a)return r="@"===a[2]?"mailto:"+(n=sf(this.options.mangle?t(a[1]):a[1])):n=sf(a[1]),{type:"link",raw:a[0],text:n,href:r,tokens:[{type:"text",raw:n,text:n}]}}},{key:"url",value:function(e,t){var n;if(n=this.rules.inline.url.exec(e)){var r,a;if("@"===n[2])a="mailto:"+(r=sf(this.options.mangle?t(n[0]):n[0]));else{var i;do{i=n[0],n[0]=this.rules.inline._backpedal.exec(n[0])[0]}while(i!==n[0]);r=sf(n[0]),a="www."===n[1]?"http://"+n[0]:n[0]}return{type:"link",raw:n[0],text:r,href:a,tokens:[{type:"text",raw:r,text:r}]}}}},{key:"inlineText",value:function(e,t){var n,r=this.rules.inline.text.exec(e);if(r)return 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    \n This table returns a list of the labels with the highest number of series.\n

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    \n This table returns a list of unique label values per selected label.\n

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    \n This table returns a list of labels with the highest number of the unique values.\n

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    \n This table returns a list of the label values pairs with the highest number of series.\n

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b/app/vmselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md similarity index 88% rename from app/vlselect/vmui/static/media/MetricsQL.48b7b7105a48d7775f01.md rename to app/vmselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md index e1862c28c..1d178f5bd 100644 --- a/app/vlselect/vmui/static/media/MetricsQL.48b7b7105a48d7775f01.md +++ b/app/vmselect/vmui/static/media/MetricsQL.61a686c0661a23e4f2eb.md @@ -26,12 +26,18 @@ and introduction into [basic querying via MetricsQL](https://docs.victoriametric The following functionality is implemented differently in MetricsQL compared to PromQL. This improves user experience: -* MetricsQL takes into account the previous point before the window in square brackets for range functions such as [rate](#rate) and [increase](#increase). - This allows returning the exact results users expect for `increase(metric[$__interval])` queries instead of incomplete results Prometheus returns for such queries. -* MetricsQL doesn't extrapolate range function results. This addresses [this issue from Prometheus](https://github.com/prometheus/prometheus/issues/3746). +* MetricsQL takes into account the last [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) before the lookbehind window + in square brackets for [increase](#increase) and [rate](#rate) functions. This allows returning the exact results users expect for `increase(metric[$__interval])` queries + instead of incomplete results Prometheus returns for such queries. Prometheus misses the increase between the last sample before the lookbehind window + and the first sample inside the lookbehind window. +* MetricsQL doesn't extrapolate [rate](#rate) and [increase](#increase) function results, so it always returns the expected results. For example, it returns + integer results from `increase()` over slow-changing integer counter. Prometheus in this case returns unexpected fractional results, + which may significantly differ from the expected results. This addresses [this issue from Prometheus](https://github.com/prometheus/prometheus/issues/3746). See technical details about VictoriaMetrics and Prometheus calculations for [rate](#rate) and [increase](#increase) [in this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1215#issuecomment-850305711). -* MetricsQL returns the expected non-empty responses for [rate](#rate) with `step` values smaller than scrape interval. +* MetricsQL returns the expected non-empty responses for [rate](#rate) function when Grafana or [vmui](https://docs.victoriametrics.com/#vmui) + passes `step` values smaller than the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query). This addresses [this issue from Grafana](https://github.com/grafana/grafana/issues/11451). See also [this blog post](https://www.percona.com/blog/2020/02/28/better-prometheus-rate-function-with-victoriametrics/). * MetricsQL treats `scalar` type the same as `instant vector` without labels, since subtle differences between these types usually confuse users. @@ -61,16 +67,17 @@ The list of MetricsQL features on top of PromQL: * Graphite-compatible filters can be passed via `{__graphite__="foo.*.bar"}` syntax. See [these docs](https://docs.victoriametrics.com/#selecting-graphite-metrics). - VictoriaMetrics also can be used as Graphite datasource in Grafana. - See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details. + VictoriaMetrics can be used as Graphite datasource in Grafana. See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details. See also [label_graphite_group](#label_graphite_group) function, which can be used for extracting the given groups from Graphite metric name. -* Lookbehind window in square brackets may be omitted. VictoriaMetrics automatically selects the lookbehind window - depending on the current step used for building the graph (e.g. `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query)). +* Lookbehind window in square brackets for [rollup functions](#rollup-functions) may be omitted. VictoriaMetrics automatically selects the lookbehind window + depending on the `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) + and the real interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) (aka `scrape_interval`). For instance, the following query is valid in VictoriaMetrics: `rate(node_network_receive_bytes_total)`. - It is equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana. + It is roughly equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana. + The difference is documented in [rate() docs](#rate). * Numeric values can contain `_` delimiters for better readability. For example, `1_234_567_890` can be used in queries instead of `1234567890`. * [Series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering) accept multiple `or` filters. For example, `{env="prod",job="a" or env="dev",job="b"}` - selects series with either `{env="prod",job="a"}` or `{env="dev",job="b"}` labels. + selects series with `{env="prod",job="a"}` or `{env="dev",job="b"}` labels. See [these docs](https://docs.victoriametrics.com/keyConcepts.html#filtering-by-multiple-or-filters) for details. * Support for `group_left(*)` and `group_right(*)` for copying all the labels from time series on the `one` side of [many-to-one operations](https://prometheus.io/docs/prometheus/latest/querying/operators/#many-to-one-and-one-to-many-vector-matches). @@ -117,7 +124,8 @@ The list of MetricsQL features on top of PromQL: Go to [WITH templates playground](https://play.victoriametrics.com/select/accounting/1/6a716b0f-38bc-4856-90ce-448fd713e3fe/expand-with-exprs) and try it. * String literals may be concatenated. This is useful with `WITH` templates: `WITH (commonPrefix="long_metric_prefix_") {__name__=commonPrefix+"suffix1"} / {__name__=commonPrefix+"suffix2"}`. -* `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions), [transform functions](#transform-functions) and [binary operators](https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operators). +* `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions), [transform functions](#transform-functions) + and [binary operators](https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operators). This modifier prevents from dropping metric names in function results. See [these docs](#keep_metric_names). ## keep_metric_names @@ -155,14 +163,15 @@ Additional details: The interval between points is set as `step` query arg passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query). * If the given [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns multiple time series, then rollups are calculated individually per each returned series. -* If lookbehind window in square brackets is missing, then MetricsQL automatically sets the lookbehind window - to the interval between points on the graph (aka `step` query arg at [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query), - `$__interval` value from Grafana or `1i` duration in MetricsQL). - For example, `rate(http_requests_total)` is equivalent to `rate(http_requests_total[$__interval])` in Grafana. - It is also equivalent to `rate(http_requests_total[1i])`. +* If lookbehind window in square brackets is missing, then it is automatically set to the following value: + - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query) + for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL. + For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`. + - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`. * Every [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) in MetricsQL must be wrapped into a rollup function. Otherwise, it is automatically wrapped into [default_rollup](#default_rollup). For example, `foo{bar="baz"}` - is automatically converted to `default_rollup(foo{bar="baz"}[1i])` before performing the calculations. + is automatically converted to `default_rollup(foo{bar="baz"})` before performing the calculations. * If something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) is passed to rollup function, then the inner arg is automatically converted to a [subquery](#subqueries). * All the rollup functions accept optional `keep_metric_names` modifier. If it is set, then the function keeps metric names in results. @@ -177,7 +186,9 @@ The list of supported rollup functions: `absent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns 1 if the given lookbehind window `d` doesn't contain raw samples. Otherwise, it returns an empty result. -This function is supported by PromQL. See also [present_over_time](#present_over_time). +This function is supported by PromQL. + +See also [present_over_time](#present_over_time). #### aggr_over_time @@ -207,7 +218,9 @@ See also [descent_over_time](#descent_over_time). over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [median_over_time](#median_over_time). +This function is supported by PromQL. + +See also [median_over_time](#median_over_time). #### changes @@ -220,7 +233,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [changes_prometheus](#changes_prometheus). +This function is supported by PromQL. + +See also [changes_prometheus](#changes_prometheus). #### changes_prometheus @@ -233,7 +248,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [changes](#changes). +This function is supported by PromQL. + +See also [changes](#changes). #### count_eq_over_time @@ -243,7 +260,7 @@ from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.ht 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). +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 @@ -253,7 +270,7 @@ from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.ht 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). +See also [count_over_time](#count_over_time) and [share_gt_over_time](#share_gt_over_time). #### count_le_over_time @@ -263,7 +280,7 @@ from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.ht 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). +See also [count_over_time](#count_over_time) and [share_le_over_time](#share_le_over_time). #### count_ne_over_time @@ -282,8 +299,19 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), -[count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time). +This function is supported by PromQL. + +See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), [count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time). + +#### count_values_over_time + +`count_values_over_time("label", series_selector[d])` is a [rollup function](#rollup-functions), which counts the number of raw samples +with the same value over the given lookbehind window and stores the counts in a time series with an additional `label`, which contains each initial value. +The results are calculated independently per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). + +Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. + +See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values) and [distinct_over_time](#distinct_over_time) and [label_match](#label_match). #### decreases_over_time @@ -299,6 +327,11 @@ See also [increases_over_time](#increases_over_time). `default_rollup(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). +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), +while `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) for the selected time series. +This allows avoiding unexpected gaps on the graph when `step` is smaller than the `scrape_interval`. + #### delta `delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between @@ -310,7 +343,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [increase](#increase) and [delta_prometheus](#delta_prometheus). +This function is supported by PromQL. + +See also [increase](#increase) and [delta_prometheus](#delta_prometheus). #### delta_prometheus @@ -333,7 +368,9 @@ The derivative is calculated using linear regression. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv). +This function is supported by PromQL. + +See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv). #### deriv_fast @@ -364,6 +401,8 @@ 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. +See also [count_values_over_time](#count_values_over_time). + #### duration_over_time `duration_over_time(series_selector[d], max_interval)` is a [rollup function](#rollup-functions), which returns the duration in seconds @@ -423,7 +462,9 @@ over the given lookbehind window `d` using the given smoothing factor `sf` and t Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns time series of [gauge type](https://docs.victoriametrics.com/keyConcepts.html#gauge). -This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression). +This function is supported by PromQL. + +See also [range_linear_regression](#range_linear_regression). #### idelta @@ -432,7 +473,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [delta](#delta). +This function is supported by PromQL. + +See also [delta](#delta). #### ideriv @@ -455,7 +498,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). +This function is supported by PromQL. + +See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). #### increase_prometheus @@ -499,7 +544,9 @@ It is expected that the `series_selector` returns time series of [counter type]( Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [rate](#rate) and [rollup_rate](#rollup_rate). +This function is supported by PromQL. + +See also [rate](#rate) and [rollup_rate](#rollup_rate). #### lag @@ -516,7 +563,9 @@ See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time). `last_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time). +This function is supported by PromQL. + +See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time). #### lifetime @@ -539,7 +588,9 @@ See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outli `max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [tmax_over_time](#tmax_over_time). +This function is supported by PromQL. + +See also [tmax_over_time](#tmax_over_time). #### median_over_time @@ -554,7 +605,9 @@ See also [avg_over_time](#avg_over_time). `min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [tmin_over_time](#tmin_over_time). +This function is supported by PromQL. + +See also [tmin_over_time](#tmin_over_time). #### mode_over_time @@ -580,7 +633,9 @@ See also [outliers_iqr](#outliers_iqr). linear interpolation over raw samples on the given lookbehind window `d`. The predicted value is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression). +This function is supported by PromQL. + +See also [range_linear_regression](#range_linear_regression). #### present_over_time @@ -597,7 +652,9 @@ This function is supported by PromQL. on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). The `phi` value must be in the range `[0...1]`. -This function is supported by PromQL. See also [quantiles_over_time](#quantiles_over_time). +This function is supported by PromQL. + +See also [quantiles_over_time](#quantiles_over_time). #### quantiles_over_time @@ -622,9 +679,16 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#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), +while `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) for the selected time series. +This allows avoiding unexpected gaps on the graph when `step` is smaller than the `scrape_interval`. + Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [irate](#irate) and [rollup_rate](#rollup_rate). +This function is supported by PromQL. + +See also [irate](#irate) and [rollup_rate](#rollup_rate). #### rate_over_sum @@ -652,6 +716,7 @@ on the given lookbehind window `d` and returns them in time series with `rollup= These values are calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). #### rollup_candlestick @@ -660,7 +725,8 @@ over raw samples on the given lookbehind window `d` and returns them in time ser The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). This function is useful for financial applications. -Optional 2nd argument `"min"`, `"max"` or `"avg"` 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). #### rollup_delta @@ -670,6 +736,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -683,6 +750,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -694,6 +762,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). 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). @@ -707,10 +776,10 @@ See [this article](https://valyala.medium.com/why-irate-from-prometheus-doesnt-c 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.html#filtering). - Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. #### rollup_scrape_interval @@ -721,6 +790,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [scrape_interval](#scrape_interval). @@ -743,7 +813,7 @@ 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. -See also [share_le_over_time](#share_le_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 @@ -756,7 +826,7 @@ 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. -See also [share_gt_over_time](#share_gt_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 @@ -766,6 +836,8 @@ from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.ht Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. +See also [count_eq_over_time](#count_eq_over_time). + #### stale_samples_over_time `stale_samples_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number @@ -781,7 +853,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [stdvar_over_time](#stdvar_over_time). +This function is supported by PromQL. + +See also [stdvar_over_time](#stdvar_over_time). #### stdvar_over_time @@ -790,7 +864,36 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [stddev_over_time](#stddev_over_time). +This function is supported by PromQL. + +See also [stddev_over_time](#stddev_over_time). + +#### sum_eq_over_time + +`sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values equal to `eq` +on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). + +Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. + +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(series_selector[d], gt)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values bigger than `gt` +on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). + +Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. + +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(series_selector[d], le)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values smaller or equal to `le` +on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). + +Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. + +See also [sum_over_time](#sum_over_time) and [count_le_over_time](#count_le_over_time). #### sum_over_time @@ -815,7 +918,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [timestamp_with_name](#timestamp_with_name). +This function is supported by PromQL. + +See also [time](#time) and [now](#now). #### timestamp_with_name @@ -824,7 +929,7 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are preserved in the resulting rollups. -See also [timestamp](#timestamp). +See also [timestamp](#timestamp) and [keep_metric_names](#keep_metric_names) modifier. #### tfirst_over_time @@ -891,7 +996,7 @@ Additional details: * If transform function is applied directly to a [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the transformations. - For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature[1i]))`. + For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature))`. * All the transform functions accept optional `keep_metric_names` modifier. If it is set, then the function doesn't drop metric names from the resulting time series. See [these docs](#keep_metric_names). @@ -909,7 +1014,9 @@ This function is supported by PromQL. `absent(q)` is a [transform function](#transform-functions), which returns 1 if `q` has no points. Otherwise, returns an empty result. -This function is supported by PromQL. See also [absent_over_time](#absent_over_time). +This function is supported by PromQL. + +See also [absent_over_time](#absent_over_time). #### acos @@ -918,7 +1025,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [asin](#asin) and [cos](#cos). +This function is supported by PromQL. + +See also [asin](#asin) and [cos](#cos). #### acosh @@ -927,7 +1036,9 @@ This function is supported by PromQL. See also [asin](#asin) and [cos](#cos). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sinh](#cosh). +This function is supported by PromQL. + +See also [sinh](#cosh). #### asin @@ -936,7 +1047,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [acos](#acos) and [sin](#sin). +This function is supported by PromQL. + +See also [acos](#acos) and [sin](#sin). #### asinh @@ -945,7 +1058,9 @@ This function is supported by PromQL. See also [acos](#acos) and [sin](#sin). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sinh](#sinh). +This function is supported by PromQL. + +See also [sinh](#sinh). #### atan @@ -954,7 +1069,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [tan](#tan). +This function is supported by PromQL. + +See also [tan](#tan). #### atanh @@ -963,7 +1080,9 @@ This function is supported by PromQL. See also [tan](#tan). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [tanh](#tanh). +This function is supported by PromQL. + +See also [tanh](#tanh). #### bitmap_and @@ -994,25 +1113,33 @@ See also [prometheus_buckets](#prometheus_buckets) and [histogram_quantile](#his `ceil(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the upper nearest integer. -This function is supported by PromQL. See also [floor](#floor) and [round](#round). +This function is supported by PromQL. + +See also [floor](#floor) and [round](#round). #### clamp `clamp(q, min, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` and `max` values. -This function is supported by PromQL. See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max). +This function is supported by PromQL. + +See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max). #### clamp_max `clamp_max(q, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `max` value. -This function is supported by PromQL. See also [clamp](#clamp) and [clamp_min](#clamp_min). +This function is supported by PromQL. + +See also [clamp](#clamp) and [clamp_min](#clamp_min). #### clamp_min `clamp_min(q, min)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` value. -This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](#clamp_max). +This function is supported by PromQL. + +See also [clamp](#clamp) and [clamp_max](#clamp_max). #### cos @@ -1020,7 +1147,9 @@ This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](# Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sin](#sin). +This function is supported by PromQL. + +See also [sin](#sin). #### cosh @@ -1029,7 +1158,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [acosh](#acosh). +This function is supported by PromQL. + +See also [acosh](#acosh). #### day_of_month @@ -1040,6 +1171,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_week](#day_of_week) and [day_of_year](#day_of_year). + #### day_of_week `day_of_week(q)` is a [transform function](#transform-functions), which returns the day of week for every point of every time series returned by `q`. @@ -1049,6 +1182,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_month](#day_of_month) and [day_of_year](#day_of_year). + #### day_of_year `day_of_year(q)` is a [transform function](#transform-functions), which returns the day of year for every point of every time series returned by `q`. @@ -1058,6 +1193,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_week](#day_of_week) and [day_of_month](#day_of_month). + #### days_in_month `days_in_month(q)` is a [transform function](#transform-functions), which returns the number of days in the month identified @@ -1075,7 +1212,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [rad](#rad). +This function is supported by PromQL. + +See also [rad](#rad). #### drop_empty_series @@ -1101,13 +1240,17 @@ See also [start](#start), [time](#time) and [now](#now). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [ln](#ln). +This function is supported by PromQL. + +See also [ln](#ln). #### floor `floor(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the lower nearest integer. -This function is supported by PromQL. See also [ceil](#ceil) and [round](#round). +This function is supported by PromQL. + +See also [ceil](#ceil) and [round](#round). #### histogram_avg @@ -1130,8 +1273,9 @@ When the [percentile](https://en.wikipedia.org/wiki/Percentile) is calculated ov then all the input histograms **must** have buckets with identical boundaries, e.g. they must have the same set of `le` or `vmrange` labels. Otherwise, the returned result may be invalid. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3231) for details. -This function is supported by PromQL (except of the `boundLabel` arg). See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share) -and [quantile](#quantile). +This function is supported by PromQL (except of the `boundLabel` arg). + +See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share) and [quantile](#quantile). #### histogram_quantiles @@ -1203,7 +1347,9 @@ This allows implementing simple paging for `q` time series. See also [limitk](#l Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [exp](#exp) and [log2](#log2). +This function is supported by PromQL. + +See also [exp](#exp) and [log2](#log2). #### log2 @@ -1211,7 +1357,9 @@ This function is supported by PromQL. See also [exp](#exp) and [log2](#log2). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [log10](#log10) and [ln](#ln). +This function is supported by PromQL. + +See also [log10](#log10) and [ln](#ln). #### log10 @@ -1219,7 +1367,9 @@ This function is supported by PromQL. See also [log10](#log10) and [ln](#ln). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [log2](#log2) and [ln](#ln). +This function is supported by PromQL. + +See also [log2](#log2) and [ln](#ln). #### minute @@ -1258,7 +1408,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [deg](#deg). +This function is supported by PromQL. + +See also [deg](#deg). #### prometheus_buckets @@ -1386,7 +1538,9 @@ for points returned by `q`, e.g. it is equivalent to the following query: `(q - `round(q, nearest)` is a [transform function](#transform-functions), which rounds every point of every time series returned by `q` to the `nearest` multiple. If `nearest` is missing then the rounding is performed to the nearest integer. -This function is supported by PromQL. See also [floor](#floor) and [ceil](#ceil). +This function is supported by PromQL. + +See also [floor](#floor) and [ceil](#ceil). #### ru @@ -1430,7 +1584,9 @@ This function is supported by PromQL. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [cos](#cos). +This function is supported by MetricsQL. + +See also [cos](#cos). #### sinh @@ -1439,7 +1595,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [cosh](#cosh). +This function is supported by MetricsQL. + +See also [cosh](#cosh). #### tan @@ -1447,7 +1605,9 @@ This function is supported by MetricsQL. See also [cosh](#cosh). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [atan](#atan). +This function is supported by MetricsQL. + +See also [atan](#atan). #### tanh @@ -1456,7 +1616,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [atanh](#atanh). +This function is supported by MetricsQL. + +See also [atanh](#atanh). #### smooth_exponential @@ -1467,13 +1629,17 @@ by `q` using [exponential moving average](https://en.wikipedia.org/wiki/Moving_a `sort(q)` is a [transform function](#transform-functions), which sorts series in ascending order by the last point in every time series returned by `q`. -This function is supported by PromQL. See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label). +This function is supported by PromQL. + +See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label). #### sort_desc `sort_desc(q)` is a [transform function](#transform-functions), which sorts series in descending order by the last point in every time series returned by `q`. -This function is supported by PromQL. See also [sort](#sort) and [sort_by_label](#sort_by_label_desc). +This function is supported by PromQL. + +See also [sort](#sort) and [sort_by_label](#sort_by_label_desc). #### sqrt @@ -1502,7 +1668,9 @@ See also [start](#start) and [end](#end). `time()` is a [transform function](#transform-functions), which returns unix timestamp for every returned point. -This function is supported by PromQL. See also [now](#now), [start](#start) and [end](#end). +This function is supported by PromQL. + +See also [timestamp](#timestamp), [now](#now), [start](#start) and [end](#end). #### timezone_offset @@ -1551,7 +1719,7 @@ Additional details: * If label manipulation function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before performing the label transformation. - For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature[1i]), "foo")`. + For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature), "foo")`. See also [implicit query conversions](#implicit-query-conversions). @@ -1728,7 +1896,7 @@ Additional details: Multiple labels can be put in `by` and `without` modifiers. * If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the aggregate. - For example, `count(up)` is implicitly transformed to `count(default_rollup(up[1i]))`. + For example, `count(up)` is implicitly transformed to `count(default_rollup(up))`. * Aggregate functions accept arbitrary number of args. For example, `avg(q1, q2, q3)` would return the average values for every point across time series returned by `q1`, `q2` and `q3`. * Aggregate functions support optional `limit N` suffix, which can be used for limiting the number of output groups. @@ -1756,7 +1924,9 @@ This function is supported by PromQL. `bottomk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the smallest values across all the time series returned by `q`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [topk](#topk). +This function is supported by PromQL. + +See also [topk](#topk), [bottomk_min](#bottomk_min) and [#bottomk_last](#bottomk_last). #### bottomk_avg @@ -1818,10 +1988,14 @@ The aggregate is calculated individually per each group of points with the same This function is supported by PromQL. +See also [count_values_over_time](#count_values_over_time) and [label_match](#label_match). + #### distinct `distinct(q)` is [aggregate function](#aggregate-functions), which calculates the number of unique values per each group of points with the same timestamp. +See also [distinct_over_time](#distinct_over_time). + #### geomean `geomean(q)` is [aggregate function](#aggregate-functions), which calculates geometric mean per each group of points with the same timestamp. @@ -1913,7 +2087,9 @@ See also [outliers_iqr](#outliers_iqr) and [outliers_mad](#outliers_mad). for all the time series returned by `q`. `phi` must be in the range `[0...1]`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [quantiles](#quantiles) and [histogram_quantile](#histogram_quantile). +This function is supported by PromQL. + +See also [quantiles](#quantiles) and [histogram_quantile](#histogram_quantile). #### quantiles @@ -1972,7 +2148,9 @@ for all the time series returned by `q`. The aggregate is calculated individuall `topk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the biggest values across all the time series returned by `q`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [bottomk](#bottomk). +This function is supported by PromQL. + +See also [bottomk](#bottomk), [topk_max](#topk_max) and [topk_last](#topk_last). #### topk_avg @@ -2032,7 +2210,7 @@ See also [zscore_over_time](#zscore_over_time), [range_trim_zscore](#range_trim_ MetricsQL supports and extends PromQL subqueries. See [this article](https://valyala.medium.com/prometheus-subqueries-in-victoriametrics-9b1492b720b3) for details. Any [rollup function](#rollup-functions) for something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) form a subquery. 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: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). VictoriaMetrics performs subqueries in the following way: @@ -2047,21 +2225,23 @@ VictoriaMetrics performs subqueries in the following way: VictoriaMetrics performs the following implicit conversions for incoming queries before starting the calculations: -* If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), - then `[1i]` is automatically added there. The `[1i]` means one `step` value, which is passed - to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query). - It is also known as `$__interval` in Grafana. For example, `rate(http_requests_count)` is automatically transformed to `rate(http_requests_count[1i])`. +* If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), then it is automatically set to the following value: + - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query) + for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL. + For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`. + - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`. * All the [series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering), which aren't wrapped into [rollup functions](#rollup-functions), are automatically wrapped into [default_rollup](#default_rollup) function. Examples: - * `foo` is transformed to `default_rollup(foo[1i])` - * `foo + bar` is transformed to `default_rollup(foo[1i]) + default_rollup(bar[1i])` - * `count(up)` is transformed to `count(default_rollup(up[1i]))`, because [count](#count) isn't a [rollup function](#rollup-functions) - + * `foo` is transformed to `default_rollup(foo)` + * `foo + bar` is transformed to `default_rollup(foo) + default_rollup(bar)` + * `count(up)` is transformed to `count(default_rollup(up))`, because [count](#count) isn't a [rollup function](#rollup-functions) - it is [aggregate function](#aggregate-functions) - * `abs(temperature)` is transformed to `abs(default_rollup(temperature[1i]))`, because [abs](#abs) isn't a [rollup function](#rollup-functions) - + * `abs(temperature)` is transformed to `abs(default_rollup(temperature))`, because [abs](#abs) isn't a [rollup function](#rollup-functions) - it is [transform function](#transform-functions) * If `step` in square brackets is missing inside [subquery](#subqueries), then `1i` step is automatically added there. 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.html#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:1i])`. + For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`. diff --git a/app/vmui/packages/vmui/src/assets/MetricsQL.md b/app/vmui/packages/vmui/src/assets/MetricsQL.md index 2b2266f13..1d178f5bd 100644 --- a/app/vmui/packages/vmui/src/assets/MetricsQL.md +++ b/app/vmui/packages/vmui/src/assets/MetricsQL.md @@ -26,12 +26,18 @@ and introduction into [basic querying via MetricsQL](https://docs.victoriametric The following functionality is implemented differently in MetricsQL compared to PromQL. This improves user experience: -* MetricsQL takes into account the previous point before the window in square brackets for range functions such as [rate](#rate) and [increase](#increase). - This allows returning the exact results users expect for `increase(metric[$__interval])` queries instead of incomplete results Prometheus returns for such queries. -* MetricsQL doesn't extrapolate range function results. This addresses [this issue from Prometheus](https://github.com/prometheus/prometheus/issues/3746). +* MetricsQL takes into account the last [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) before the lookbehind window + in square brackets for [increase](#increase) and [rate](#rate) functions. This allows returning the exact results users expect for `increase(metric[$__interval])` queries + instead of incomplete results Prometheus returns for such queries. Prometheus misses the increase between the last sample before the lookbehind window + and the first sample inside the lookbehind window. +* MetricsQL doesn't extrapolate [rate](#rate) and [increase](#increase) function results, so it always returns the expected results. For example, it returns + integer results from `increase()` over slow-changing integer counter. Prometheus in this case returns unexpected fractional results, + which may significantly differ from the expected results. This addresses [this issue from Prometheus](https://github.com/prometheus/prometheus/issues/3746). See technical details about VictoriaMetrics and Prometheus calculations for [rate](#rate) and [increase](#increase) [in this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1215#issuecomment-850305711). -* MetricsQL returns the expected non-empty responses for [rate](#rate) with `step` values smaller than scrape interval. +* MetricsQL returns the expected non-empty responses for [rate](#rate) function when Grafana or [vmui](https://docs.victoriametrics.com/#vmui) + passes `step` values smaller than the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query). This addresses [this issue from Grafana](https://github.com/grafana/grafana/issues/11451). See also [this blog post](https://www.percona.com/blog/2020/02/28/better-prometheus-rate-function-with-victoriametrics/). * MetricsQL treats `scalar` type the same as `instant vector` without labels, since subtle differences between these types usually confuse users. @@ -61,13 +67,14 @@ The list of MetricsQL features on top of PromQL: * Graphite-compatible filters can be passed via `{__graphite__="foo.*.bar"}` syntax. See [these docs](https://docs.victoriametrics.com/#selecting-graphite-metrics). - VictoriaMetrics also can be used as Graphite datasource in Grafana. - See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details. + VictoriaMetrics can be used as Graphite datasource in Grafana. See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details. See also [label_graphite_group](#label_graphite_group) function, which can be used for extracting the given groups from Graphite metric name. -* Lookbehind window in square brackets may be omitted. VictoriaMetrics automatically selects the lookbehind window - depending on the current step used for building the graph (e.g. `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query)). +* Lookbehind window in square brackets for [rollup functions](#rollup-functions) may be omitted. VictoriaMetrics automatically selects the lookbehind window + depending on the `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) + and the real interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) (aka `scrape_interval`). For instance, the following query is valid in VictoriaMetrics: `rate(node_network_receive_bytes_total)`. - It is equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana. + It is roughly equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana. + The difference is documented in [rate() docs](#rate). * Numeric values can contain `_` delimiters for better readability. For example, `1_234_567_890` can be used in queries instead of `1234567890`. * [Series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering) accept multiple `or` filters. For example, `{env="prod",job="a" or env="dev",job="b"}` selects series with `{env="prod",job="a"}` or `{env="dev",job="b"}` labels. @@ -117,7 +124,8 @@ The list of MetricsQL features on top of PromQL: Go to [WITH templates playground](https://play.victoriametrics.com/select/accounting/1/6a716b0f-38bc-4856-90ce-448fd713e3fe/expand-with-exprs) and try it. * String literals may be concatenated. This is useful with `WITH` templates: `WITH (commonPrefix="long_metric_prefix_") {__name__=commonPrefix+"suffix1"} / {__name__=commonPrefix+"suffix2"}`. -* `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions), [transform functions](#transform-functions) and [binary operators](https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operators). +* `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions), [transform functions](#transform-functions) + and [binary operators](https://prometheus.io/docs/prometheus/latest/querying/operators/#binary-operators). This modifier prevents from dropping metric names in function results. See [these docs](#keep_metric_names). ## keep_metric_names @@ -155,14 +163,15 @@ Additional details: The interval between points is set as `step` query arg passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query). * If the given [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns multiple time series, then rollups are calculated individually per each returned series. -* If lookbehind window in square brackets is missing, then MetricsQL automatically sets the lookbehind window - to the interval between points on the graph (aka `step` query arg at [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query), - `$__interval` value from Grafana or `1i` duration in MetricsQL). - For example, `rate(http_requests_total)` is equivalent to `rate(http_requests_total[$__interval])` in Grafana. - It is also equivalent to `rate(http_requests_total[1i])`. +* If lookbehind window in square brackets is missing, then it is automatically set to the following value: + - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query) + for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL. + For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`. + - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`. * Every [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) in MetricsQL must be wrapped into a rollup function. Otherwise, it is automatically wrapped into [default_rollup](#default_rollup). For example, `foo{bar="baz"}` - is automatically converted to `default_rollup(foo{bar="baz"}[1i])` before performing the calculations. + is automatically converted to `default_rollup(foo{bar="baz"})` before performing the calculations. * If something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) is passed to rollup function, then the inner arg is automatically converted to a [subquery](#subqueries). * All the rollup functions accept optional `keep_metric_names` modifier. If it is set, then the function keeps metric names in results. @@ -177,7 +186,9 @@ The list of supported rollup functions: `absent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns 1 if the given lookbehind window `d` doesn't contain raw samples. Otherwise, it returns an empty result. -This function is supported by PromQL. See also [present_over_time](#present_over_time). +This function is supported by PromQL. + +See also [present_over_time](#present_over_time). #### aggr_over_time @@ -207,7 +218,9 @@ See also [descent_over_time](#descent_over_time). over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [median_over_time](#median_over_time). +This function is supported by PromQL. + +See also [median_over_time](#median_over_time). #### changes @@ -220,7 +233,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [changes_prometheus](#changes_prometheus). +This function is supported by PromQL. + +See also [changes_prometheus](#changes_prometheus). #### changes_prometheus @@ -233,7 +248,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [changes](#changes). +This function is supported by PromQL. + +See also [changes](#changes). #### count_eq_over_time @@ -243,7 +260,7 @@ from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.ht 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) and [share_eq_over_time](#share_eq_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 @@ -282,8 +299,19 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), -[count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time). +This function is supported by PromQL. + +See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), [count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time). + +#### count_values_over_time + +`count_values_over_time("label", series_selector[d])` is a [rollup function](#rollup-functions), which counts the number of raw samples +with the same value over the given lookbehind window and stores the counts in a time series with an additional `label`, which contains each initial value. +The results are calculated independently per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). + +Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. + +See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values) and [distinct_over_time](#distinct_over_time) and [label_match](#label_match). #### decreases_over_time @@ -299,6 +327,11 @@ See also [increases_over_time](#increases_over_time). `default_rollup(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). +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), +while `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) for the selected time series. +This allows avoiding unexpected gaps on the graph when `step` is smaller than the `scrape_interval`. + #### delta `delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between @@ -310,7 +343,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [increase](#increase) and [delta_prometheus](#delta_prometheus). +This function is supported by PromQL. + +See also [increase](#increase) and [delta_prometheus](#delta_prometheus). #### delta_prometheus @@ -333,7 +368,9 @@ The derivative is calculated using linear regression. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv). +This function is supported by PromQL. + +See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv). #### deriv_fast @@ -364,6 +401,8 @@ 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. +See also [count_values_over_time](#count_values_over_time). + #### duration_over_time `duration_over_time(series_selector[d], max_interval)` is a [rollup function](#rollup-functions), which returns the duration in seconds @@ -423,7 +462,9 @@ over the given lookbehind window `d` using the given smoothing factor `sf` and t Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns time series of [gauge type](https://docs.victoriametrics.com/keyConcepts.html#gauge). -This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression). +This function is supported by PromQL. + +See also [range_linear_regression](#range_linear_regression). #### idelta @@ -432,7 +473,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [delta](#delta). +This function is supported by PromQL. + +See also [delta](#delta). #### ideriv @@ -455,7 +498,9 @@ See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-co Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). +This function is supported by PromQL. + +See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). #### increase_prometheus @@ -499,7 +544,9 @@ It is expected that the `series_selector` returns time series of [counter type]( Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [rate](#rate) and [rollup_rate](#rollup_rate). +This function is supported by PromQL. + +See also [rate](#rate) and [rollup_rate](#rollup_rate). #### lag @@ -516,7 +563,9 @@ See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time). `last_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time). +This function is supported by PromQL. + +See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_time). #### lifetime @@ -539,7 +588,9 @@ See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outli `max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [tmax_over_time](#tmax_over_time). +This function is supported by PromQL. + +See also [tmax_over_time](#tmax_over_time). #### median_over_time @@ -554,7 +605,9 @@ See also [avg_over_time](#avg_over_time). `min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [tmin_over_time](#tmin_over_time). +This function is supported by PromQL. + +See also [tmin_over_time](#tmin_over_time). #### mode_over_time @@ -580,7 +633,9 @@ See also [outliers_iqr](#outliers_iqr). linear interpolation over raw samples on the given lookbehind window `d`. The predicted value is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). -This function is supported by PromQL. See also [range_linear_regression](#range_linear_regression). +This function is supported by PromQL. + +See also [range_linear_regression](#range_linear_regression). #### present_over_time @@ -597,7 +652,9 @@ This function is supported by PromQL. on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). The `phi` value must be in the range `[0...1]`. -This function is supported by PromQL. See also [quantiles_over_time](#quantiles_over_time). +This function is supported by PromQL. + +See also [quantiles_over_time](#quantiles_over_time). #### quantiles_over_time @@ -622,9 +679,16 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#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), +while `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) for the selected time series. +This allows avoiding unexpected gaps on the graph when `step` is smaller than the `scrape_interval`. + Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [irate](#irate) and [rollup_rate](#rollup_rate). +This function is supported by PromQL. + +See also [irate](#irate) and [rollup_rate](#rollup_rate). #### rate_over_sum @@ -652,6 +716,7 @@ on the given lookbehind window `d` and returns them in time series with `rollup= These values are calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). #### rollup_candlestick @@ -660,7 +725,8 @@ over raw samples on the given lookbehind window `d` and returns them in time ser The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). This function is useful for financial applications. -Optional 2nd argument `"min"`, `"max"` or `"avg"` 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). #### rollup_delta @@ -670,6 +736,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -683,6 +750,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -694,6 +762,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). 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). @@ -707,10 +776,10 @@ See [this article](https://valyala.medium.com/why-irate-from-prometheus-doesnt-c 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.html#filtering). - Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. #### rollup_scrape_interval @@ -721,6 +790,7 @@ and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup= The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). 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). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [scrape_interval](#scrape_interval). @@ -783,7 +853,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [stdvar_over_time](#stdvar_over_time). +This function is supported by PromQL. + +See also [stdvar_over_time](#stdvar_over_time). #### stdvar_over_time @@ -792,7 +864,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [stddev_over_time](#stddev_over_time). +This function is supported by PromQL. + +See also [stddev_over_time](#stddev_over_time). #### sum_eq_over_time @@ -844,7 +918,9 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [timestamp_with_name](#timestamp_with_name). +This function is supported by PromQL. + +See also [time](#time) and [now](#now). #### timestamp_with_name @@ -853,7 +929,7 @@ on the given lookbehind window `d` per each time series returned from the given Metric names are preserved in the resulting rollups. -See also [timestamp](#timestamp). +See also [timestamp](#timestamp) and [keep_metric_names](#keep_metric_names) modifier. #### tfirst_over_time @@ -920,7 +996,7 @@ Additional details: * If transform function is applied directly to a [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the transformations. - For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature[1i]))`. + For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature))`. * All the transform functions accept optional `keep_metric_names` modifier. If it is set, then the function doesn't drop metric names from the resulting time series. See [these docs](#keep_metric_names). @@ -938,7 +1014,9 @@ This function is supported by PromQL. `absent(q)` is a [transform function](#transform-functions), which returns 1 if `q` has no points. Otherwise, returns an empty result. -This function is supported by PromQL. See also [absent_over_time](#absent_over_time). +This function is supported by PromQL. + +See also [absent_over_time](#absent_over_time). #### acos @@ -947,7 +1025,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [asin](#asin) and [cos](#cos). +This function is supported by PromQL. + +See also [asin](#asin) and [cos](#cos). #### acosh @@ -956,7 +1036,9 @@ This function is supported by PromQL. See also [asin](#asin) and [cos](#cos). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sinh](#cosh). +This function is supported by PromQL. + +See also [sinh](#cosh). #### asin @@ -965,7 +1047,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [acos](#acos) and [sin](#sin). +This function is supported by PromQL. + +See also [acos](#acos) and [sin](#sin). #### asinh @@ -974,7 +1058,9 @@ This function is supported by PromQL. See also [acos](#acos) and [sin](#sin). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sinh](#sinh). +This function is supported by PromQL. + +See also [sinh](#sinh). #### atan @@ -983,7 +1069,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [tan](#tan). +This function is supported by PromQL. + +See also [tan](#tan). #### atanh @@ -992,7 +1080,9 @@ This function is supported by PromQL. See also [tan](#tan). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [tanh](#tanh). +This function is supported by PromQL. + +See also [tanh](#tanh). #### bitmap_and @@ -1023,25 +1113,33 @@ See also [prometheus_buckets](#prometheus_buckets) and [histogram_quantile](#his `ceil(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the upper nearest integer. -This function is supported by PromQL. See also [floor](#floor) and [round](#round). +This function is supported by PromQL. + +See also [floor](#floor) and [round](#round). #### clamp `clamp(q, min, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` and `max` values. -This function is supported by PromQL. See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max). +This function is supported by PromQL. + +See also [clamp_min](#clamp_min) and [clamp_max](#clamp_max). #### clamp_max `clamp_max(q, max)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `max` value. -This function is supported by PromQL. See also [clamp](#clamp) and [clamp_min](#clamp_min). +This function is supported by PromQL. + +See also [clamp](#clamp) and [clamp_min](#clamp_min). #### clamp_min `clamp_min(q, min)` is a [transform function](#transform-functions), which clamps every point for every time series returned by `q` with the given `min` value. -This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](#clamp_max). +This function is supported by PromQL. + +See also [clamp](#clamp) and [clamp_max](#clamp_max). #### cos @@ -1049,7 +1147,9 @@ This function is supported by PromQL. See also [clamp](#clamp) and [clamp_max](# Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [sin](#sin). +This function is supported by PromQL. + +See also [sin](#sin). #### cosh @@ -1058,7 +1158,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [acosh](#acosh). +This function is supported by PromQL. + +See also [acosh](#acosh). #### day_of_month @@ -1069,6 +1171,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_week](#day_of_week) and [day_of_year](#day_of_year). + #### day_of_week `day_of_week(q)` is a [transform function](#transform-functions), which returns the day of week for every point of every time series returned by `q`. @@ -1078,6 +1182,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_month](#day_of_month) and [day_of_year](#day_of_year). + #### day_of_year `day_of_year(q)` is a [transform function](#transform-functions), which returns the day of year for every point of every time series returned by `q`. @@ -1087,6 +1193,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke This function is supported by PromQL. +See also [day_of_week](#day_of_week) and [day_of_month](#day_of_month). + #### days_in_month `days_in_month(q)` is a [transform function](#transform-functions), which returns the number of days in the month identified @@ -1104,7 +1212,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [rad](#rad). +This function is supported by PromQL. + +See also [rad](#rad). #### drop_empty_series @@ -1130,13 +1240,17 @@ See also [start](#start), [time](#time) and [now](#now). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [ln](#ln). +This function is supported by PromQL. + +See also [ln](#ln). #### floor `floor(q)` is a [transform function](#transform-functions), which rounds every point for every time series returned by `q` to the lower nearest integer. -This function is supported by PromQL. See also [ceil](#ceil) and [round](#round). +This function is supported by PromQL. + +See also [ceil](#ceil) and [round](#round). #### histogram_avg @@ -1159,8 +1273,9 @@ When the [percentile](https://en.wikipedia.org/wiki/Percentile) is calculated ov then all the input histograms **must** have buckets with identical boundaries, e.g. they must have the same set of `le` or `vmrange` labels. Otherwise, the returned result may be invalid. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3231) for details. -This function is supported by PromQL (except of the `boundLabel` arg). See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share) -and [quantile](#quantile). +This function is supported by PromQL (except of the `boundLabel` arg). + +See also [histogram_quantiles](#histogram_quantiles), [histogram_share](#histogram_share) and [quantile](#quantile). #### histogram_quantiles @@ -1232,7 +1347,9 @@ This allows implementing simple paging for `q` time series. See also [limitk](#l Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [exp](#exp) and [log2](#log2). +This function is supported by PromQL. + +See also [exp](#exp) and [log2](#log2). #### log2 @@ -1240,7 +1357,9 @@ This function is supported by PromQL. See also [exp](#exp) and [log2](#log2). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [log10](#log10) and [ln](#ln). +This function is supported by PromQL. + +See also [log10](#log10) and [ln](#ln). #### log10 @@ -1248,7 +1367,9 @@ This function is supported by PromQL. See also [log10](#log10) and [ln](#ln). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [log2](#log2) and [ln](#ln). +This function is supported by PromQL. + +See also [log2](#log2) and [ln](#ln). #### minute @@ -1287,7 +1408,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by PromQL. See also [deg](#deg). +This function is supported by PromQL. + +See also [deg](#deg). #### prometheus_buckets @@ -1415,7 +1538,9 @@ for points returned by `q`, e.g. it is equivalent to the following query: `(q - `round(q, nearest)` is a [transform function](#transform-functions), which rounds every point of every time series returned by `q` to the `nearest` multiple. If `nearest` is missing then the rounding is performed to the nearest integer. -This function is supported by PromQL. See also [floor](#floor) and [ceil](#ceil). +This function is supported by PromQL. + +See also [floor](#floor) and [ceil](#ceil). #### ru @@ -1459,7 +1584,9 @@ This function is supported by PromQL. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [cos](#cos). +This function is supported by MetricsQL. + +See also [cos](#cos). #### sinh @@ -1468,7 +1595,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [cosh](#cosh). +This function is supported by MetricsQL. + +See also [cosh](#cosh). #### tan @@ -1476,7 +1605,9 @@ This function is supported by MetricsQL. See also [cosh](#cosh). Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [atan](#atan). +This function is supported by MetricsQL. + +See also [atan](#atan). #### tanh @@ -1485,7 +1616,9 @@ for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. -This function is supported by MetricsQL. See also [atanh](#atanh). +This function is supported by MetricsQL. + +See also [atanh](#atanh). #### smooth_exponential @@ -1496,13 +1629,17 @@ by `q` using [exponential moving average](https://en.wikipedia.org/wiki/Moving_a `sort(q)` is a [transform function](#transform-functions), which sorts series in ascending order by the last point in every time series returned by `q`. -This function is supported by PromQL. See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label). +This function is supported by PromQL. + +See also [sort_desc](#sort_desc) and [sort_by_label](#sort_by_label). #### sort_desc `sort_desc(q)` is a [transform function](#transform-functions), which sorts series in descending order by the last point in every time series returned by `q`. -This function is supported by PromQL. See also [sort](#sort) and [sort_by_label](#sort_by_label_desc). +This function is supported by PromQL. + +See also [sort](#sort) and [sort_by_label](#sort_by_label_desc). #### sqrt @@ -1531,7 +1668,9 @@ See also [start](#start) and [end](#end). `time()` is a [transform function](#transform-functions), which returns unix timestamp for every returned point. -This function is supported by PromQL. See also [now](#now), [start](#start) and [end](#end). +This function is supported by PromQL. + +See also [timestamp](#timestamp), [now](#now), [start](#start) and [end](#end). #### timezone_offset @@ -1580,7 +1719,7 @@ Additional details: * If label manipulation function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before performing the label transformation. - For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature[1i]), "foo")`. + For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature), "foo")`. See also [implicit query conversions](#implicit-query-conversions). @@ -1757,7 +1896,7 @@ Additional details: Multiple labels can be put in `by` and `without` modifiers. * If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the aggregate. - For example, `count(up)` is implicitly transformed to `count(default_rollup(up[1i]))`. + For example, `count(up)` is implicitly transformed to `count(default_rollup(up))`. * Aggregate functions accept arbitrary number of args. For example, `avg(q1, q2, q3)` would return the average values for every point across time series returned by `q1`, `q2` and `q3`. * Aggregate functions support optional `limit N` suffix, which can be used for limiting the number of output groups. @@ -1785,7 +1924,9 @@ This function is supported by PromQL. `bottomk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the smallest values across all the time series returned by `q`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [topk](#topk). +This function is supported by PromQL. + +See also [topk](#topk), [bottomk_min](#bottomk_min) and [#bottomk_last](#bottomk_last). #### bottomk_avg @@ -1847,10 +1988,14 @@ The aggregate is calculated individually per each group of points with the same This function is supported by PromQL. +See also [count_values_over_time](#count_values_over_time) and [label_match](#label_match). + #### distinct `distinct(q)` is [aggregate function](#aggregate-functions), which calculates the number of unique values per each group of points with the same timestamp. +See also [distinct_over_time](#distinct_over_time). + #### geomean `geomean(q)` is [aggregate function](#aggregate-functions), which calculates geometric mean per each group of points with the same timestamp. @@ -1942,7 +2087,9 @@ See also [outliers_iqr](#outliers_iqr) and [outliers_mad](#outliers_mad). for all the time series returned by `q`. `phi` must be in the range `[0...1]`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [quantiles](#quantiles) and [histogram_quantile](#histogram_quantile). +This function is supported by PromQL. + +See also [quantiles](#quantiles) and [histogram_quantile](#histogram_quantile). #### quantiles @@ -2001,7 +2148,9 @@ for all the time series returned by `q`. The aggregate is calculated individuall `topk(k, q)` is [aggregate function](#aggregate-functions), which returns up to `k` points with the biggest values across all the time series returned by `q`. The aggregate is calculated individually per each group of points with the same timestamp. -This function is supported by PromQL. See also [bottomk](#bottomk). +This function is supported by PromQL. + +See also [bottomk](#bottomk), [topk_max](#topk_max) and [topk_last](#topk_last). #### topk_avg @@ -2061,7 +2210,7 @@ See also [zscore_over_time](#zscore_over_time), [range_trim_zscore](#range_trim_ MetricsQL supports and extends PromQL subqueries. See [this article](https://valyala.medium.com/prometheus-subqueries-in-victoriametrics-9b1492b720b3) for details. Any [rollup function](#rollup-functions) for something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) form a subquery. 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: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). VictoriaMetrics performs subqueries in the following way: @@ -2076,21 +2225,23 @@ VictoriaMetrics performs subqueries in the following way: VictoriaMetrics performs the following implicit conversions for incoming queries before starting the calculations: -* If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), - then `[1i]` is automatically added there. The `[1i]` means one `step` value, which is passed - to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query). - It is also known as `$__interval` in Grafana. For example, `rate(http_requests_count)` is automatically transformed to `rate(http_requests_count[1i])`. +* If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), then it is automatically set to the following value: + - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query) + for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL. + For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`. + - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) + for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`. * All the [series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering), which aren't wrapped into [rollup functions](#rollup-functions), are automatically wrapped into [default_rollup](#default_rollup) function. Examples: - * `foo` is transformed to `default_rollup(foo[1i])` - * `foo + bar` is transformed to `default_rollup(foo[1i]) + default_rollup(bar[1i])` - * `count(up)` is transformed to `count(default_rollup(up[1i]))`, because [count](#count) isn't a [rollup function](#rollup-functions) - + * `foo` is transformed to `default_rollup(foo)` + * `foo + bar` is transformed to `default_rollup(foo) + default_rollup(bar)` + * `count(up)` is transformed to `count(default_rollup(up))`, because [count](#count) isn't a [rollup function](#rollup-functions) - it is [aggregate function](#aggregate-functions) - * `abs(temperature)` is transformed to `abs(default_rollup(temperature[1i]))`, because [abs](#abs) isn't a [rollup function](#rollup-functions) - + * `abs(temperature)` is transformed to `abs(default_rollup(temperature))`, because [abs](#abs) isn't a [rollup function](#rollup-functions) - it is [transform function](#transform-functions) * If `step` in square brackets is missing inside [subquery](#subqueries), then `1i` step is automatically added there. 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.html#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:1i])`. + For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`.